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index 19416cedc..2e8d86828 100644
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index 19416cedc..2e8d86828 100644
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       "description": "2D UNet trained using ZeroCostDL4Mic notebooks on data from ISBI Challenge for neuron segmentation in Transmission Electron Microscopy images.",
-      "download_count": 35873,
+      "download_count": 35907,
       "id": "10.5281/zenodo.5817052",
       "license": "MIT",
       "links": [
@@ -790,7 +790,7 @@
       ],
       "created": "2022-06-15 22:08:13.874556",
       "description": "Cell segmentation for immunofluorescence microscopy.",
-      "download_count": 35430,
+      "download_count": 35441,
       "id": "10.5281/zenodo.5847355",
       "license": "CC-BY-4.0",
       "links": [
@@ -835,7 +835,7 @@
       ],
       "created": "2022-04-01 16:06:28.519947",
       "description": "Segmentation of mitochondria in EM images.",
-      "download_count": 34753,
+      "download_count": 34755,
       "id": "10.5281/zenodo.6406803",
       "license": "CC-BY-4.0",
       "links": [
@@ -880,7 +880,7 @@
       ],
       "created": "2023-03-02 05:53:45.695883",
       "description": "Nuclei segmentation model for segmenting images from the Human Protein Atlas",
-      "download_count": 33332,
+      "download_count": 33341,
       "id": "10.5281/zenodo.6200999",
       "license": "CC-BY-4.0",
       "links": [
@@ -923,7 +923,7 @@
       ],
       "created": "2023-03-27 12:11:52.357154",
       "description": "A 3D U-Net trained to predict the cell boundaries in live light sheet images of developing mouse embryo. Voxel size: 0.2\u00d70.2\u00d71.0 \u00b5m^3",
-      "download_count": 31725,
+      "download_count": 31729,
       "id": "10.5281/zenodo.6384845",
       "license": "MIT",
       "links": [
@@ -976,7 +976,7 @@
       ],
       "created": "2023-03-27 12:14:49.467153",
       "description": "A 3D U-Net trained to predict the nuclei and their boundaries in fixed confocal images of developing mouse embryo.Voxel size: (0.2\u00d70.2\u00d71 \u00b5m^3) (XYZ).",
-      "download_count": 30803,
+      "download_count": 30807,
       "id": "10.5281/zenodo.6383429",
       "license": "MIT",
       "links": [
@@ -1024,7 +1024,7 @@
       ],
       "created": "2023-03-03 13:09:05.981223",
       "description": "affinity-model",
-      "download_count": 29510,
+      "download_count": 29515,
       "id": "10.5281/zenodo.6079314",
       "license": "CC-BY-4.0",
       "links": [
@@ -1121,7 +1121,7 @@
       ],
       "created": "2023-03-23 21:42:30.250688",
       "description": "A 3D U-Net trained to predict the cell boundaries in lightsheet stacks of Arabidopsis Lateral Root Primordia. (0.25x0.1625x0.1625) microns ZYX",
-      "download_count": 25842,
+      "download_count": 25847,
       "id": "10.5281/zenodo.6334777",
       "license": "MIT",
       "links": [
@@ -1177,7 +1177,7 @@
       ],
       "created": "2023-04-06 10:26:25.873589",
       "description": "2D Unet trained on z-slices of confocal images of Arabidopsis thaliana apical stem cells",
-      "download_count": 25806,
+      "download_count": 25814,
       "id": "10.5281/zenodo.6334881",
       "license": "MIT",
       "links": [
@@ -1221,7 +1221,7 @@
       ],
       "created": "2022-05-11 12:52:23.766143",
       "description": "The winning model of HPA image classification 2021 by Bestfitting",
-      "download_count": 25461,
+      "download_count": 25464,
       "id": "10.5281/zenodo.5910854",
       "license": "MIT",
       "links": [
@@ -1267,7 +1267,7 @@
       ],
       "created": "2023-04-06 12:43:33.436336",
       "description": "A 3d U-Net trained to predict the cell boundaries in confocal stacks of Arabidopsis ovules. Voxel size: (0.235, 0.150, 0.150) microns ZYX",
-      "download_count": 24231,
+      "download_count": 24240,
       "id": "10.5281/zenodo.6334583",
       "license": "MIT",
       "links": [
@@ -1318,7 +1318,7 @@
       ],
       "created": "2022-07-08 14:35:48.861260",
       "description": "Prediction enhancer for segmenting mitochondria in EM images.",
-      "download_count": 23627,
+      "download_count": 23628,
       "id": "10.5281/zenodo.6811491",
       "license": "CC-BY-4.0",
       "links": [
@@ -1382,7 +1382,7 @@
       ],
       "created": "2022-05-18 09:42:30.953891",
       "description": "DeepImageJ compatible fully residual U-Net trained to segment small extracellular vesicles in 2D TEM images",
-      "download_count": 23080,
+      "download_count": 23081,
       "download_url": "https://zenodo.org/api/records/6559475/files/deepimagej_fru-net_sev_segmentation.zip/content",
       "id": "10.5281/zenodo.6559474",
       "license": "BSD-3-Clause",
@@ -1429,7 +1429,7 @@
       ],
       "created": "2022-02-01 22:38:38.088910",
       "description": "The winning model of HPA image classification 2019 by Bestfitting",
-      "download_count": 21224,
+      "download_count": 21226,
       "id": "10.5281/zenodo.5910163",
       "license": "MIT",
       "links": [
@@ -1468,7 +1468,7 @@
       ],
       "created": "2022-07-28 07:37:36.393648",
       "description": "DeepImageJ compatible FRUNet trained to subtly segment cells and gland.",
-      "download_count": 20789,
+      "download_count": 20799,
       "id": "10.5281/zenodo.6865412",
       "license": "CC-BY-4.0",
       "name": "Cells and gland Segmentation (FRUNet)",
@@ -1503,7 +1503,7 @@
       ],
       "created": "2023-07-07 10:12:51.478763",
       "description": "Cellular membrane prediction model for volume SEM datasets",
-      "download_count": 19199,
+      "download_count": 19227,
       "id": "10.5281/zenodo.7274275",
       "license": "CC-BY-4.0",
       "links": [
@@ -1549,7 +1549,7 @@
       ],
       "created": "2022-07-07 21:30:58.116303",
       "description": "Prediction enhancer for segmenting cell boundaries in EM images.",
-      "download_count": 18723,
+      "download_count": 18734,
       "id": "10.5281/zenodo.6808325",
       "license": "CC-BY-4.0",
       "links": [
@@ -1611,7 +1611,7 @@
       ],
       "created": "2022-11-12 12:53:32.701172",
       "description": "EmbryoNet Model by embryoNet Team",
-      "download_count": 13986,
+      "download_count": 13988,
       "id": "10.5281/zenodo.7315440",
       "license": "GPL-3.0",
       "links": [
@@ -1651,7 +1651,7 @@
       ],
       "created": "2023-02-15 09:34:43.433531",
       "description": "HyLFM-Net trained on static images of arrested medaka hatchling hearts. The network reconstructs a volumentric image from a given light-field.",
-      "download_count": 12727,
+      "download_count": 12729,
       "id": "10.5281/zenodo.7614645",
       "license": "MIT",
       "links": [
@@ -1700,7 +1700,7 @@
       ],
       "created": "2022-12-06 13:55:39.060882",
       "description": "For segmenting 2D projections of drosophila epithelia",
-      "download_count": 12702,
+      "download_count": 12708,
       "id": "10.5281/zenodo.7380171",
       "license": "CC-BY-4.0",
       "name": "Drosophila epithelia cell boundary segmentation of 2D projections",
@@ -1740,7 +1740,7 @@
       ],
       "created": "2023-03-29 11:10:26.329999",
       "description": "Unet trained on confocal images of Arabidopsis Ovules nuclei",
-      "download_count": 12477,
+      "download_count": 12482,
       "id": "10.5281/zenodo.7772662",
       "license": "MIT",
       "links": [
@@ -1790,7 +1790,7 @@
       ],
       "created": "2023-03-30 16:57:43.433376",
       "description": "Wasserstein GAN (WGAN) trained for super-resolution of confocal scanning microscopy images of mitochondria in U2OS cells. Mitochondria were labelled with MitoTracker and the model was trained to upsample the images by a factor of 4.",
-      "download_count": 10148,
+      "download_count": 10151,
       "id": "10.5281/zenodo.7786492",
       "license": "MIT",
       "links": [
@@ -1837,7 +1837,7 @@
       ],
       "created": "2023-10-11 17:13:48.737609",
       "description": "This widely applicable model is trained for 3D nuclei instance segmentation and with 3D nuclei images of Arabidopsis ovules with TO-PRO-3 stain. TO-PRO-3 nuclei stain detects double-stranded nucleic acids and hence can be a useful tool for nuclear DNA quantification and 3D volumetric nuclei extraction. This model is trained with dataset 1136, 1137, 1139, 1170 and validated with 1135.",
-      "download_count": 8507,
+      "download_count": 8512,
       "id": "10.5281/zenodo.8421755",
       "license": "CC-BY-4.0",
       "links": [
@@ -1884,7 +1884,7 @@
       ],
       "created": "2023-06-23 10:23:37.255827",
       "description": "Label-free prediction of fluorescence images from brightield images",
-      "download_count": 6772,
+      "download_count": 6776,
       "id": "10.5281/zenodo.8064806",
       "license": "Apache-2.0",
       "links": [
@@ -1942,7 +1942,7 @@
       ],
       "created": "2022-05-18 10:12:14.635800",
       "description": "DeepImageJ compatible fully residual U-Net trained to segment small extracellular vesicles in 2D TEM images",
-      "download_count": 6657,
+      "download_count": 6659,
       "download_url": "https://cbia.fi.muni.cz/files/segmentation/fru-net/FRU_processing.zip",
       "id": "10.5281/zenodo.6559929",
       "license": "MIT",
@@ -1994,7 +1994,7 @@
       ],
       "created": "2023-10-09 06:57:28.189519",
       "description": "Pre-training a Foundation Model for Universal Fluorescence Microscopy Image Restoration",
-      "download_count": 5806,
+      "download_count": 5812,
       "id": "10.5281/zenodo.8419845",
       "license": "CC-BY-4.0",
       "name": "UniFMIRSuperResolutionOnMicrotubules",
@@ -2040,7 +2040,7 @@
       ],
       "created": "2023-10-09 07:05:52.763368",
       "description": "Pre-training a Foundation Model for Universal Fluorescence Microscopy Image Restoration",
-      "download_count": 4503,
+      "download_count": 4507,
       "id": "10.5281/zenodo.8420099",
       "license": "CC-BY-4.0",
       "links": [
@@ -2081,7 +2081,7 @@
       ],
       "created": "2023-10-11 00:39:40.958129",
       "description": "This widely applicable model is trained for 3D nuclei instance segmentation and with 3D nuclei images of Arabidopsis ovules with TO-PRO-3 stain. TO-PRO-3 nuclei stain detects double-stranded nucleic acids and hence can be a useful tool for nuclear DNA quantification and 3D volumetric nuclei extraction. This model is trained with dataset 1136, 1137, 1139, 1170 and validated with 1135. Patch size for this model during inference can be flexible.",
-      "download_count": 3538,
+      "download_count": 3541,
       "id": "10.5281/zenodo.8401064",
       "license": "CC-BY-4.0",
       "links": [
@@ -2128,7 +2128,7 @@
       ],
       "created": "2023-07-21 09:09:49.349470",
       "description": "Prediction enhancer for segmenting cell boundaries in EM images.",
-      "download_count": 2499,
+      "download_count": 2502,
       "id": "10.5281/zenodo.8142283",
       "license": "MIT",
       "links": [
@@ -2167,7 +2167,7 @@
       ],
       "created": "2023-02-06 13:30:05.714615",
       "description": "Light-sheet and light-field images of beating and arrested hatchling (8 dpf) medaka hearts used in \"Deep learning-enhanced light-field imaging with continuous validation\" to train and evaluate a HyLFM-Net.",
-      "download_count": 2349,
+      "download_count": 2350,
       "id": "10.5281/zenodo.7612115",
       "license": "MIT",
       "name": "Hatchling Medaka Heart (HyLFM)",
diff --git a/rdf.yaml b/rdf.yaml
index d74e3be87..739f22ccf 100644
--- a/rdf.yaml
+++ b/rdf.yaml
@@ -8,7 +8,7 @@ collection:
   covers: ['https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.5764892/6322939/cover.png']
   created: '2022-06-15 22:06:22.658325'
   description: Nucleus segmentation for fluorescence microscopy
-  download_count: 69915
+  download_count: 70099
   id: 10.5281/zenodo.5764892
   license: CC-BY-4.0
   links: [ilastik/stardist_dsb_training_data, ilastik/ilastik, deepimagej/deepimagej,
@@ -29,7 +29,7 @@ collection:
     'https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.6338614/6338615/example_histo.jpg']
   created: '2022-03-08 18:36:28.378522'
   description: StarDist - Object Detection with Star-convex Shapes
-  download_count: 54445
+  download_count: 54459
   id: 10.5281/zenodo.6338614
   license: BSD-3-Clause
   links: [deepimagej/deepimagej, imjoy/BioImageIO-Packager, ilastik/tnbc, bioimageio/stardist,
@@ -49,7 +49,7 @@ collection:
   covers: ['https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.5869899/5869900/cover.png']
   created: '2022-06-15 22:09:35.368273'
   description: Cell segmentation for phase-contrast microscopy.
-  download_count: 45744
+  download_count: 45767
   id: 10.5281/zenodo.5869899
   license: CC-BY-4.0
   links: [ilastik/livecell_dataset, ilastik/ilastik, deepimagej/deepimagej, imjoy/BioImageIO-Packager]
@@ -68,7 +68,7 @@ collection:
   covers: ['https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.5874741/5874742/cover.png']
   created: '2022-01-18 22:01:09.315638'
   description: Neuron segmentation in EM, trained on the CREMI challenge data.
-  download_count: 44917
+  download_count: 44921
   id: 10.5281/zenodo.5874741
   license: CC-BY-4.0
   links: [deepimagej/deepimagej, ilastik/ilastik, imjoy/BioImageIO-Packager, ilastik/torch-em-3d-unet-notebook]
@@ -90,7 +90,7 @@ collection:
   created: '2023-07-26 10:47:44.642355'
   description: DeepImageJ compatible U-Net trained to segment phase contrast microscopy
     images of pancreatic stem cells on a 2D polystyrene substrate.
-  download_count: 42908
+  download_count: 42939
   id: 10.5281/zenodo.5914248
   license: BSD-2-Clause
   links: [imjoy/BioImageIO-Packager, deepimagej/deepimagej, ilastik/ilastik, deepimagej/unet-pancreaticcellsegmentation,
@@ -110,7 +110,7 @@ collection:
   covers: ['https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.6406756/6406757/cover.png']
   created: '2022-07-08 17:02:28.049385'
   description: Prediction enhancer for segmenting mitochondria in EM images.
-  download_count: 41790
+  download_count: 41794
   id: 10.5281/zenodo.6406756
   license: CC-BY-4.0
   links: [ilastik/torch-em-2d-unet-notebook, ilastik/ilastik, deepimagej/deepimagej,
@@ -130,7 +130,7 @@ collection:
   covers: ['https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.5874841/5874842/cover.png']
   created: '2022-06-10 06:22:28.465944'
   description: Mitochondria segmentation for electron microscopy.
-  download_count: 40473
+  download_count: 40478
   id: 10.5281/zenodo.5874841
   license: CC-BY-4.0
   links: [deepimagej/deepimagej, ilastik/ilastik, ilastik/mitoem_segmentation_challenge,
@@ -151,7 +151,7 @@ collection:
   created: '2022-01-21 14:50:48.356997'
   description: A 3D U-net to predict cell membranes in plant tissues, trained on volumes
     of Arabidopsis thaliana ovules acquired on a confocal microscope.
-  download_count: 40278
+  download_count: 40292
   id: 10.5281/zenodo.5749843
   license: MIT
   links: [imjoy/BioImageIO-Packager, ilastik/ilastik, deepimagej/deepimagej, zero/notebook_u-net_3d_zerocostdl4mic]
@@ -170,7 +170,7 @@ collection:
   covers: ['https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.6028097/6028098/cover.png']
   created: '2022-02-09 21:14:46.430029'
   description: '{organelle} segmentation in EM of platynereis.'
-  download_count: 39770
+  download_count: 39772
   id: 10.5281/zenodo.6028097
   license: CC-BY-4.0
   links: [deepimagej/deepimagej, ilastik/ilastik, imjoy/BioImageIO-Packager, ilastik/torch-em-3d-unet-notebook]
@@ -190,7 +190,7 @@ collection:
     'https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.6348084/6348085/example_fluo.jpg']
   created: '2022-03-11 22:32:05.554959'
   description: StarDist - Object Detection with Star-convex Shapes
-  download_count: 39575
+  download_count: 39591
   id: 10.5281/zenodo.6348084
   license: BSD-3-Clause
   links: [deepimagej/deepimagej, imjoy/BioImageIO-Packager, bioimageio/stardist, bioimageio/qupath]
@@ -213,7 +213,7 @@ collection:
     of Bacillus Subtilis bacteria imaged with Widefield microscopy images. To obtain
     a unique label for each individual bacteria detected in the image one could run
     further watershed segmentation using the label 1 as the seed.
-  download_count: 39006
+  download_count: 39011
   id: 10.5281/zenodo.7261974
   license: MIT
   links: [deepimagej/deepimagej, imjoy/BioImageIO-Packager, zero/dataset_u-net_2d_multilabel_deepbacs,
@@ -235,7 +235,7 @@ collection:
   covers: ['https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.6028280/6028281/cover.png']
   created: '2022-06-15 22:12:29.012734'
   description: Cell segmentation in EM of platynereis.
-  download_count: 37754
+  download_count: 37764
   id: 10.5281/zenodo.6028280
   license: CC-BY-4.0
   links: [deepimagej/deepimagej, ilastik/platynereis_em_training_data, ilastik/ilastik,
@@ -255,7 +255,7 @@ collection:
   created: '2023-03-06 19:01:04.321374'
   description: Cell segmentation model for segmenting images from the Human Protein
     Atlas
-  download_count: 37063
+  download_count: 37073
   id: 10.5281/zenodo.6200635
   license: CC-BY-4.0
   links: [deepimagej/deepimagej, hpa/hpa-cell-image-segmentation-dataset, imjoy/BioImageIO-Packager]
@@ -276,7 +276,7 @@ collection:
   description: '3D Unet trained on confocal images of Arabidopsis thaliana apical
     stem cell: https://www.repository.cam.ac.uk/handle/1810/262530. Voxel size: [0.25,
     0.25, 0.25]'
-  download_count: 36621
+  download_count: 36630
   id: 10.5281/zenodo.6346511
   license: MIT
   links: [deepimagej/deepimagej, imjoy/BioImageIO-Packager]
@@ -294,7 +294,7 @@ collection:
   covers: ['https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.6348728/6348729/cover.png']
   created: '2022-03-12 09:56:33.055323'
   description: Perform leaf segmentation in light microscopy images of Arabidopsis
-  download_count: 36545
+  download_count: 36548
   id: 10.5281/zenodo.6348728
   license: MIT
   links: [deepimagej/deepimagej, imjoy/BioImageIO-Packager, ilastik/ilastik, zero/notebook_u-net_3d_zerocostdl4mic]
@@ -315,7 +315,7 @@ collection:
   created: '2022-01-27 14:00:17.489637'
   description: 2D UNet trained using ZeroCostDL4Mic notebooks on data from ISBI Challenge
     for neuron segmentation in Transmission Electron Microscopy images.
-  download_count: 35873
+  download_count: 35907
   id: 10.5281/zenodo.5817052
   license: MIT
   links: [imjoy/BioImageIO-Packager, zero/notebook_u-net_2d_zerocostdl4mic_deepimagej,
@@ -334,7 +334,7 @@ collection:
   covers: ['https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.5847355/6322908/cover.png']
   created: '2022-06-15 22:08:13.874556'
   description: Cell segmentation for immunofluorescence microscopy.
-  download_count: 35430
+  download_count: 35441
   id: 10.5281/zenodo.5847355
   license: CC-BY-4.0
   links: [ilastik/covid_if_training_data, ilastik/ilastik, deepimagej/deepimagej,
@@ -354,7 +354,7 @@ collection:
   covers: ['https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.6406803/6406804/cover.png']
   created: '2022-04-01 16:06:28.519947'
   description: Segmentation of mitochondria in EM images.
-  download_count: 34753
+  download_count: 34755
   id: 10.5281/zenodo.6406803
   license: CC-BY-4.0
   links: [deepimagej/deepimagej, ilastik/ilastik, imjoy/BioImageIO-Packager, ilastik/torch-em-2d-unet-notebook]
@@ -374,7 +374,7 @@ collection:
   created: '2023-03-02 05:53:45.695883'
   description: Nuclei segmentation model for segmenting images from the Human Protein
     Atlas
-  download_count: 33332
+  download_count: 33341
   id: 10.5281/zenodo.6200999
   license: CC-BY-4.0
   links: [deepimagej/deepimagej]
@@ -394,7 +394,7 @@ collection:
   created: '2023-03-27 12:11:52.357154'
   description: 'A 3D U-Net trained to predict the cell boundaries in live light sheet
     images of developing mouse embryo. Voxel size: 0.2×0.2×1.0 µm^3'
-  download_count: 31725
+  download_count: 31729
   id: 10.5281/zenodo.6384845
   license: MIT
   links: [deepimagej/deepimagej, imjoy/BioImageIO-Packager]
@@ -416,7 +416,7 @@ collection:
   created: '2023-03-27 12:14:49.467153'
   description: 'A 3D U-Net trained to predict the nuclei and their boundaries in fixed
     confocal images of developing mouse embryo.Voxel size: (0.2×0.2×1 µm^3) (XYZ).'
-  download_count: 30803
+  download_count: 30807
   id: 10.5281/zenodo.6383429
   license: MIT
   links: [deepimagej/deepimagej, imjoy/BioImageIO-Packager]
@@ -434,7 +434,7 @@ collection:
   covers: ['https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.6079314/6079315/cover.png']
   created: '2023-03-03 13:09:05.981223'
   description: affinity-model
-  download_count: 29510
+  download_count: 29515
   id: 10.5281/zenodo.6079314
   license: CC-BY-4.0
   links: [imjoy/BioImageIO-Packager, ilastik/torch-em-2d-unet-notebook, ilastik/ilastik,
@@ -474,7 +474,7 @@ collection:
   created: '2023-03-23 21:42:30.250688'
   description: A 3D U-Net trained to predict the cell boundaries in lightsheet stacks
     of Arabidopsis Lateral Root Primordia. (0.25x0.1625x0.1625) microns ZYX
-  download_count: 25842
+  download_count: 25847
   id: 10.5281/zenodo.6334777
   license: MIT
   links: [deepimagej/deepimagej, imjoy/BioImageIO-Packager]
@@ -496,7 +496,7 @@ collection:
   created: '2023-04-06 10:26:25.873589'
   description: 2D Unet trained on z-slices of confocal images of Arabidopsis thaliana
     apical stem cells
-  download_count: 25806
+  download_count: 25814
   id: 10.5281/zenodo.6334881
   license: MIT
   links: [imjoy/BioImageIO-Packager]
@@ -514,7 +514,7 @@ collection:
   covers: ['https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.5910854/5911832/diagram-of-InceptionV3.png']
   created: '2022-05-11 12:52:23.766143'
   description: The winning model of HPA image classification 2021 by Bestfitting
-  download_count: 25461
+  download_count: 25464
   id: 10.5281/zenodo.5910854
   license: MIT
   links: [imjoy/BioImageIO-Packager, hpa/hpa-kaggle-2021-dataset]
@@ -535,7 +535,7 @@ collection:
   created: '2023-04-06 12:43:33.436336'
   description: 'A 3d U-Net trained to predict the cell boundaries in confocal stacks
     of Arabidopsis ovules. Voxel size: (0.235, 0.150, 0.150) microns ZYX'
-  download_count: 24231
+  download_count: 24240
   id: 10.5281/zenodo.6334583
   license: MIT
   links: [imjoy/BioImageIO-Packager]
@@ -553,7 +553,7 @@ collection:
   covers: ['https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.6811491/6811492/cover.png']
   created: '2022-07-08 14:35:48.861260'
   description: Prediction enhancer for segmenting mitochondria in EM images.
-  download_count: 23627
+  download_count: 23628
   id: 10.5281/zenodo.6811491
   license: CC-BY-4.0
   links: [deepimagej/deepimagej, ilastik/torch-em-3d-unet-notebook, ilastik/ilastik,
@@ -579,7 +579,7 @@ collection:
   created: '2022-05-18 09:42:30.953891'
   description: DeepImageJ compatible fully residual U-Net trained to segment small
     extracellular vesicles in 2D TEM images
-  download_count: 23080
+  download_count: 23081
   download_url: https://zenodo.org/api/records/6559475/files/deepimagej_fru-net_sev_segmentation.zip/content
   id: 10.5281/zenodo.6559474
   license: BSD-3-Clause
@@ -599,7 +599,7 @@ collection:
   covers: ['https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.5910163/5942853/bestfitting-densenet-diagram.png']
   created: '2022-02-01 22:38:38.088910'
   description: The winning model of HPA image classification 2019 by Bestfitting
-  download_count: 21224
+  download_count: 21226
   id: 10.5281/zenodo.5910163
   license: MIT
   links: [imjoy/BioImageIO-Packager]
@@ -617,7 +617,7 @@ collection:
     'https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.6865412/6919253/lable.png']
   created: '2022-07-28 07:37:36.393648'
   description: DeepImageJ compatible FRUNet trained to subtly segment cells and gland.
-  download_count: 20789
+  download_count: 20799
   id: 10.5281/zenodo.6865412
   license: CC-BY-4.0
   name: Cells and gland Segmentation (FRUNet)
@@ -633,7 +633,7 @@ collection:
   covers: ['https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.7274275/7274276/coverimage.jpg']
   created: '2023-07-07 10:12:51.478763'
   description: Cellular membrane prediction model for volume SEM datasets
-  download_count: 19199
+  download_count: 19227
   id: 10.5281/zenodo.7274275
   license: CC-BY-4.0
   links: [deepimagej/deepimagej]
@@ -651,7 +651,7 @@ collection:
   covers: ['https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.6808325/6808413/cover.png']
   created: '2022-07-07 21:30:58.116303'
   description: Prediction enhancer for segmenting cell boundaries in EM images.
-  download_count: 18723
+  download_count: 18734
   id: 10.5281/zenodo.6808325
   license: CC-BY-4.0
   links: [ilastik/ilastik, deepimagej/deepimagej, ilastik/torch-em-3d-unet-notebook,
@@ -675,7 +675,7 @@ collection:
   covers: ['https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.7315440/7315441/phenotypes_features.png']
   created: '2022-11-12 12:53:32.701172'
   description: EmbryoNet Model by embryoNet Team
-  download_count: 13986
+  download_count: 13988
   id: 10.5281/zenodo.7315440
   license: GPL-3.0
   links: [Embryonet.de, imjoy/BioImageIO-Packager]
@@ -693,7 +693,7 @@ collection:
   created: '2023-02-15 09:34:43.433531'
   description: HyLFM-Net trained on static images of arrested medaka hatchling hearts.
     The network reconstructs a volumentric image from a given light-field.
-  download_count: 12727
+  download_count: 12729
   id: 10.5281/zenodo.7614645
   license: MIT
   links: [imjoy/BioImageIO-Packager]
@@ -715,7 +715,7 @@ collection:
   covers: ['https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.7380171/7405349/cover.png']
   created: '2022-12-06 13:55:39.060882'
   description: For segmenting 2D projections of drosophila epithelia
-  download_count: 12702
+  download_count: 12708
   id: 10.5281/zenodo.7380171
   license: CC-BY-4.0
   name: Drosophila epithelia cell boundary segmentation of 2D projections
@@ -734,7 +734,7 @@ collection:
     'https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.7772662/7781091/pmaps.png']
   created: '2023-03-29 11:10:26.329999'
   description: Unet trained on confocal images of Arabidopsis Ovules nuclei
-  download_count: 12477
+  download_count: 12482
   id: 10.5281/zenodo.7772662
   license: MIT
   links: [imjoy/BioImageIO-Packager]
@@ -756,7 +756,7 @@ collection:
   description: Wasserstein GAN (WGAN) trained for super-resolution of confocal scanning
     microscopy images of mitochondria in U2OS cells. Mitochondria were labelled with
     MitoTracker and the model was trained to upsample the images by a factor of 4.
-  download_count: 10148
+  download_count: 10151
   id: 10.5281/zenodo.7786492
   license: MIT
   links: [deepimagej/deepimagej, imjoy/BioImageIO-Packager]
@@ -781,7 +781,7 @@ collection:
     nuclei stain detects double-stranded nucleic acids and hence can be a useful tool
     for nuclear DNA quantification and 3D volumetric nuclei extraction. This model
     is trained with dataset 1136, 1137, 1139, 1170 and validated with 1135.
-  download_count: 8507
+  download_count: 8512
   id: 10.5281/zenodo.8421755
   license: CC-BY-4.0
   links: [imjoy/BioImageIO-Packager]
@@ -800,7 +800,7 @@ collection:
   covers: ['https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.8064806/8073617/cover.png']
   created: '2023-06-23 10:23:37.255827'
   description: Label-free prediction of fluorescence images from brightield images
-  download_count: 6772
+  download_count: 6776
   id: 10.5281/zenodo.8064806
   license: Apache-2.0
   links: [imjoy/BioImageIO-Packager]
@@ -823,7 +823,7 @@ collection:
   created: '2022-05-18 10:12:14.635800'
   description: DeepImageJ compatible fully residual U-Net trained to segment small
     extracellular vesicles in 2D TEM images
-  download_count: 6657
+  download_count: 6659
   download_url: https://cbia.fi.muni.cz/files/segmentation/fru-net/FRU_processing.zip
   id: 10.5281/zenodo.6559929
   license: MIT
@@ -846,7 +846,7 @@ collection:
   created: '2023-10-09 06:57:28.189519'
   description: Pre-training a Foundation Model for Universal Fluorescence Microscopy
     Image Restoration
-  download_count: 5806
+  download_count: 5812
   id: 10.5281/zenodo.8419845
   license: CC-BY-4.0
   name: UniFMIRSuperResolutionOnMicrotubules
@@ -867,7 +867,7 @@ collection:
   created: '2023-10-09 07:05:52.763368'
   description: Pre-training a Foundation Model for Universal Fluorescence Microscopy
     Image Restoration
-  download_count: 4503
+  download_count: 4507
   id: 10.5281/zenodo.8420099
   license: CC-BY-4.0
   links: [imjoy/BioImageIO-Packager]
@@ -892,7 +892,7 @@ collection:
     for nuclear DNA quantification and 3D volumetric nuclei extraction. This model
     is trained with dataset 1136, 1137, 1139, 1170 and validated with 1135. Patch
     size for this model during inference can be flexible.
-  download_count: 3538
+  download_count: 3541
   id: 10.5281/zenodo.8401064
   license: CC-BY-4.0
   links: [imjoy/BioImageIO-Packager]
@@ -910,7 +910,7 @@ collection:
   covers: ['https://bioimage-io.github.io/collection-bioimage-io/rdfs/10.5281/zenodo.8142283/8171247/cover.png']
   created: '2023-07-21 09:09:49.349470'
   description: Prediction enhancer for segmenting cell boundaries in EM images.
-  download_count: 2499
+  download_count: 2502
   id: 10.5281/zenodo.8142283
   license: MIT
   links: [imjoy/BioImageIO-Packager]
@@ -929,7 +929,7 @@ collection:
   description: Light-sheet and light-field images of beating and arrested hatchling
     (8 dpf) medaka hearts used in "Deep learning-enhanced light-field imaging with
     continuous validation" to train and evaluate a HyLFM-Net.
-  download_count: 2349
+  download_count: 2350
   id: 10.5281/zenodo.7612115
   license: MIT
   name: Hatchling Medaka Heart (HyLFM)