CLDF Metadata: StructureDataset-metadata.json
Sources: sources.bib
The Binford Hunter-Gatherer dataset describes cultural practices for 339 hunter-gatherer groups. Approximately two-thirds of the societies described by Binford are also described in the Ethnographic Atlas. However, the Binford database includes a number of societies not in the Ethnographic Atlas, including many in Australia and northern North America.
property | value |
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dc:bibliographicCitation | Binford, L. 2001. Constructing Frames of Reference: An Analytical Method for Archaeological Theory Building Using Hunter-gatherer and Environmental Data Sets. University of California Press |
dc:conformsTo | CLDF StructureDataset |
dc:license | https://creativecommons.org/licenses/by-nc/4.0/ |
dcat:accessURL | https://github.com/D-PLACE/dplace-dataset-binford |
prov:wasDerivedFrom | |
prov:wasGeneratedBy |
|
rdf:ID | dplace-dataset-binford |
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 | 13957 |
Name/Property | Datatype | Description |
---|---|---|
ID | string Regex: [a-zA-Z0-9_\-]+ |
Primary key |
Soc_ID | string |
References societies.csv::ID |
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 |
References codes.csv::ID |
Comment | string |
|
Source | list of string (separated by ; ) |
References sources.bib::BibTeX-key |
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 societies.csv
We use the term “society” to refer to cultural groups. In most cases, a society can be understood to represent a group of people at a focal location with a shared language that differs from that of their neighbors. However, in some cases multiple societies share a language.
property | value |
---|---|
dc:conformsTo | CLDF LanguageTable |
dc:extent | 339 |
Name/Property | Datatype | Description |
---|---|---|
ID | string Regex: [a-zA-Z0-9_\-]+ |
Primary key |
Name | string |
|
Latitude | decimal ≥ -90 ≤ 90 |
|
Longitude | decimal ≥ -180 ≤ 180 |
|
Glottocode | string Regex: [a-z0-9]{4}[1-9][0-9]{3} |
|
Name_and_ID_in_source |
string |
Society names identified as pejorative have been replaced with a preferred, English-language ethnonym. The name (and ID) as given in the source dataset is kept in this field. |
xd_id |
string |
“cross-data-set” identifier, used to link societies present in different datasets, if they share a focal location. Note: If this field is empty, other fields such as Name, Glottocode, focal year and location may be used to identify societies across datasets if appropriate. |
alt_names_by_society |
list of string (separated by ; ) |
A list of ‘alternate’ names for the society; includes, where available, one or more autonyms in the society’s own language, as well as other commonly encountered ethnonyms. |
main_focal_year |
integer |
Focal year specifying the time period to which the data refer, given as number of years BCE - if negative - or CE. |
HRAF_name_ID |
string |
Name(s) and ID(s) of the corresponding society in HRAF (the Human Relations Area Files) |
HRAF_ID |
string |
ID of the corresponding society in HRAF |
origLat |
decimal ≥ -90 ≤ 90 |
Uncorrected latitude as given in the source. |
origLong |
decimal ≥ -270 ≤ 180 |
Uncorrected longitude as given in the source. |
comment | string |
|
glottocode_comment |
string |
Comment on the Glottocode assignment. |
region |
string |
World Geographical Scheme for Recording Plant Distributions level2 region |
Table variables.csv
Variables are cultural features or practices, or environmental descriptors.
property | value |
---|---|
dc:conformsTo | CLDF ParameterTable |
dc:extent | 40 |
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 |
Table codes.csv
property | value |
---|---|
dc:conformsTo | CLDF CodeTable |
dc:extent | 83 |
Name/Property | Datatype | Description |
---|---|---|
ID | string Regex: [a-zA-Z0-9_\-]+ |
Primary key |
Var_ID | string |
The parameter or variable the code belongs to. References variables.csv::ID |
Name | string |
|
Description | string |
|
ord |
integer |