A continent-wide detailed geological map dataset of Antarctica.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
18 05 2023
18 05 2023
Historique:
received:
24
11
2022
accepted:
12
04
2023
medline:
22
5
2023
pubmed:
19
5
2023
entrez:
18
5
2023
Statut:
epublish
Résumé
A dataset to describe exposed bedrock and surficial geology of Antarctica has been constructed by the GeoMAP Action Group of the Scientific Committee on Antarctic Research (SCAR) and GNS Science. Our group captured existing geological map data into a geographic information system (GIS), refined its spatial reliability, harmonised classification, and improved representation of glacial sequences and geomorphology, thereby creating a comprehensive and coherent representation of Antarctic geology. A total of 99,080 polygons were unified for depicting geology at 1:250,000 scale, but locally there are some areas with higher spatial resolution. Geological unit definition is based on a mixed chronostratigraphic- and lithostratigraphic-based classification. Description of rock and moraine polygons employs the international Geoscience Markup Language (GeoSciML) data protocols to provide attribute-rich and queryable information, including bibliographic links to 589 source maps and scientific literature. GeoMAP is the first detailed geological map dataset covering all of Antarctica. It depicts 'known geology' of rock exposures rather than 'interpreted' sub-ice features and is suitable for continent-wide perspectives and cross-discipline interrogation.
Identifiants
pubmed: 37202393
doi: 10.1038/s41597-023-02152-9
pii: 10.1038/s41597-023-02152-9
pmc: PMC10195775
doi:
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
250Subventions
Organisme : Ministry of Business, Innovation and Employment (MBIE)
ID : C05X1701
Organisme : Ministry of Business, Innovation and Employment (MBIE)
ID : CO9X1413
Informations de copyright
© 2023. The Author(s).
Références
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Sci Data. 2023 May 18;10(1):250
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