Skip to content

Latest commit

 

History

History

cldf

README.md

StructureDataset D-PLACE dataset derived from Wessel and Smith 2015 'Global Self-consistent, Hierarchical, High-resolution Geography Database'

CLDF Metadata: StructureDataset-metadata.json

Distance to coast extracted from the High-resolution Geography Database (GSHHS)

property value
dc:bibliographicCitation Wessel, P., and W. H. F. Smith (1996), A global, self-consistent, hierarchical, high-resolution shoreline database, J. Geophys. Res., 101(B4), 8741–8743, doi:10.1029/96JB00104.

Wessel P, Smith, W. H. F. Global Self-consistent, Hierarchical, High-resolution Geography Database (GSHHS) v2.3.4 [Internet]. 2015. Available: https://www.ngdc.noaa.gov/mgg/shorelines/gshhs.html dc:conformsTo | CLDF StructureDataset dc:identifier | https://www.ngdc.noaa.gov/mgg/shorelines/gshhs.html dc:license | http://www.opensource.org/licenses/LGPL-3.0 dc:references |

  1. dplace-dataset-ea
  2. dplace-dataset-binford
  3. dplace-dataset-sccs
  4. dplace-dataset-wnai
dcat:accessURL | https://github.com/D-PLACE/dplace-dataset-gshhs prov:wasDerivedFrom |
  1. D-PLACE/dplace-dataset-gshhs v3.0.1
  2. Glottolog v5.0
prov:wasGeneratedBy |
  1. python: 3.10.12
  2. python-packages: requirements.txt
rdf:ID | dplace-dataset-gshhs rdf:type | http://www.w3.org/ns/dcat#Distribution

Table data.csv

Values are coded datapoints, i.e. measurements of a variable for a society.

Note: Missing data is signaled by an empty Value column.

property value
dc:conformsTo CLDF ValueTable
dc:extent 1988

Columns

Name/Property Datatype Description
ID string
Regex: [a-zA-Z0-9_\-]+		 Primary key
Soc_ID string
Var_ID string References variables.csv::ID
Value string Values for categorical and ordinal variables reference the corresponding code via the Code_ID column. Values for continuous variables have the measured number in the Value column and an empty Code_ID.
Code_ID string
Comment string
Source list of string (separated by ;)
sub_case string More specific description of the population the data refer to in terms of society or area.
year string
Regex: -?[0-9]{1,4}(-[0-9]{4})?		 Focal year, i.e. the time period to which the data refer.
source_coded_data string The source of the coded data, which was aggregated in this dataset.
admin_comment string

Table variables.csv

Variables are cultural features or practices, or environmental descriptors.

property value
dc:conformsTo CLDF ParameterTable
dc:extent 1

Columns

Name/Property Datatype Description
ID string
Regex: [A-Za-z.0-9_]+([0-9]+)?		 Primary key
Name string
Description string
ColumnSpec json
category list of string (separated by , )
type string
Valid choices:
Continuous Categorical Ordinal		 Variables may be categorical (and then must be accompanied by a list of possible ‘codes’, i.e. rows in Codetable. Variables can also be continuous (e.g. Population size) or ordinal. Ordinal variables are accompanied by a list of codes (like categorical variables). The order of codes is encoded as ord column in CodeTable.
unit string The unit of measurement
source_comment string A note about the source of this variable.
changes string Notes about how a variable may have been derived from the source.
comment string