30 datasets found
  1. The GeoMAP (v.2022-08) continent-wide detailed geological dataset of...

    • doi.pangaea.de
    • antcat.antarcticanz.govt.nz
    • +1more
    html, tsv
    Updated Mar 16, 2023
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    Simon Christopher Cox; Christine S Smith Siddoway; Giovanni Capponi; Tamer Abu-Alam; Jasmine F Mawson; Nicola Dal Seno; Laura Crispini; Jacqueline A Halpin; Adam P Martin; Fraser Morgan; Gary S Wilson; Belinda Smith Lyttle; Samuel Elkind; Paul Morin; Matilda Ballinger; Lauren Bamber; Brett Kitchener; Luigi Lelli; Alexie Millikin; Louis Whitburn; Tristan White; Alex Burton-Johnson; David Elliot; Synnøve Elvevold; John W Goodge; Joachim Jacobs; Eugene Mikhalsky; John Smellie; Phil Scadden (2023). The GeoMAP (v.2022-08) continent-wide detailed geological dataset of Antarctica [Dataset]. http://doi.org/10.1594/PANGAEA.951482
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    html, tsvAvailable download formats
    Dataset updated
    Mar 16, 2023
    Dataset provided by
    PANGAEA
    Authors
    Simon Christopher Cox; Christine S Smith Siddoway; Giovanni Capponi; Tamer Abu-Alam; Jasmine F Mawson; Nicola Dal Seno; Laura Crispini; Jacqueline A Halpin; Adam P Martin; Fraser Morgan; Gary S Wilson; Belinda Smith Lyttle; Samuel Elkind; Paul Morin; Matilda Ballinger; Lauren Bamber; Brett Kitchener; Luigi Lelli; Alexie Millikin; Louis Whitburn; Tristan White; Alex Burton-Johnson; David Elliot; Synnøve Elvevold; John W Goodge; Joachim Jacobs; Eugene Mikhalsky; John Smellie; Phil Scadden
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Binary Object, Binary Object (MD5 Hash), Binary Object (File Size), Binary Object (Media Type)
    Description

    A dataset describing exposed bedrock and surficial geology of Antarctica constructed by the GeoMAP Action Group of SCAR (The Scientific Committee on Antarctic Research) and GNS Science, New Zealand. Legacy geological map data have been captured into a geographic information system (GIS), refining its spatial reliability, harmonising classification, then improving representation of glacial sequences and geomorphology. A total 99,080 polygons have been unified for depicting geology at 1:250,000 scale, but locally there are some areas with higher spatial precision. Geological definition in GeoMAP v.2022-08 is founded on a mixed chronostratigraphic- and lithostratigraphic-based classification. Description of rock and moraine polygons employs international GeoSciML data protocols to provide attribute-rich and queriable data; including bibliographic links to 589 source maps and scientific literature. Data are provided under CC-BY License as zipped ArcGIS geodatabase, QGIS geopackage or GoogleEarth kmz files. GeoMAP is the first detailed geological dataset covering all of Antarctica. GeoMAP depicts 'known geology' of rock exposures rather than 'interpreted' sub-ice features and is suitable for continent-wide perspectives and cross-discipline interrogation.

  2. Warsaw PL districts geo mapping

    • kaggle.com
    zip
    Updated Oct 2, 2022
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    Oleksandr Arsentiev (2022). Warsaw PL districts geo mapping [Dataset]. https://www.kaggle.com/datasets/oleksandrarsentiev/geo-lat-lon/suggestions?status=pending&yourSuggestions=true
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    zip(549 bytes)Available download formats
    Dataset updated
    Oct 2, 2022
    Authors
    Oleksandr Arsentiev
    Area covered
    Warsaw
    Description

    Dataset

    This dataset was created by Oleksandr Arsentiev

    Contents

  3. Homelessness in US

    • kaggle.com
    zip
    Updated Jan 20, 2021
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    Umerkk12 (2021). Homelessness in US [Dataset]. https://www.kaggle.com/datasets/umerkk12/homelessness-in-us/code
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    zip(21260 bytes)Available download formats
    Dataset updated
    Jan 20, 2021
    Authors
    Umerkk12
    Area covered
    United States
    Description

    Context

    The dataset is about Homelessness in United States according to the states. It has the records for 2021 and 2013. The primary use of this dataset could be geo mapping of states and comparing them. You can also develop other visuals for deeper analysis.

  4. H

    Replication Data for: Geo-mapping of COVID-19 Risk Correlates across...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Aug 18, 2020
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    S V Subramanian; Omar Karlsson; Weixing Zhang; Rockli Kim (2020). Replication Data for: Geo-mapping of COVID-19 Risk Correlates across Districts and Parliamentary Constituencies in India [Dataset]. http://doi.org/10.7910/DVN/BMEI5T
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 18, 2020
    Dataset provided by
    Harvard Dataverse
    Authors
    S V Subramanian; Omar Karlsson; Weixing Zhang; Rockli Kim
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    India
    Description

    The replication data includes codes for estimations. See the Estimation Code.do for more details. Please download the data in the ORIGINAL format.

  5. GeoMAP: A geological dataset of Antarctica

    • kaggle.com
    zip
    Updated Aug 29, 2023
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    Sam Elkind (2023). GeoMAP: A geological dataset of Antarctica [Dataset]. https://www.kaggle.com/datasets/samelkind/geomap-a-geological-dataset-of-antarctica
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    zip(391570520 bytes)Available download formats
    Dataset updated
    Aug 29, 2023
    Authors
    Sam Elkind
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Antarctica
    Description

    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, harmonized classification, and improved representation of glacial sequences and geomorphology, thereby creating a comprehensive and coherent representation of Antarctic geology.

    Publication describing the dataset: https://www.nature.com/articles/s41597-023-02152-9

    User documentation: https://geomap.readthedocs.io/en/latest/index.html

    Metadata: https://data.gns.cri.nz/metadata/srv/eng/catalog.search#/metadata/333C1D5A-1F80-4ED2-B6A6-52AB2B03A52F

  6. a

    McCann Lake - NTS 75G (NWT Open File 2020‐02) Data Set

    • ntgs-open-data-ntgs.hub.arcgis.com
    Updated Jun 8, 2020
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    (2020). McCann Lake - NTS 75G (NWT Open File 2020‐02) Data Set [Dataset]. https://ntgs-open-data-ntgs.hub.arcgis.com/datasets/e58339a732b84b1a92be36d3f4edbe6b
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    Dataset updated
    Jun 8, 2020
    Area covered
    Description

    The Rae craton and adjoining Hearne craton are part of the western Churchill Province of the Canadian Shield. The present-day lithospheric architecture of the Rae craton is the result of the cumulative effects of crustal growth and tectonic processes, which persisted from the Paleoarchean to the Paleoproterozoic, resulting in the assembly of the most ancient supercontinent, Nuna. The Archean history of the Rae craton is poorly understood, which hampers the understanding of the Proterozoic reworking.The South Rae craton (southernmost portion of the Rae craton) has seen little research in the Northwest Territories (NWT) since it was first mapped at reconnaissance scale in the 1950s to 1960s, when access was provided by canoe and float plane. The three-year South Rae mapping project of the Geological Survey of Canada’s (GSC) Geomapping for Energy and Minerals (GEM) program was initiated in collaboration with the Northwest Territories Geological Survey (NTGS) to improve understanding of the tectonic evolution and economic potential of the South Rae craton, and the role the South Rae craton plays in the assembly of the Canadian Shield.A 400-km long transect, from the Hearne craton in the east to the Taltson magmatic zone in the west, was undertaken in order to update and modernize the geological framework. Four new 1:250 000 scale bedrock geology maps (NTS 75A, B, G, and H) have been published (this map; Martel et al. 2020a; b; and c), each map is accompanied by digital data.NWT Open Report 2020-02 contains information on data sources related to this dataset and additional geological interpretation. Some layers files (.LYR) depend on font uploads (not available in this download) are available in the original publication and will not display properly.Recommended Citation: Martel, E., Pehrsson, S.J., Regis, D., Thiessen, E.J., Jamison, D., Percival, J., Pierce, K.L., and Acosta‐Góngora, P.,2020. Geology of the McCann Lake area, South Rae craton, Northwest Territories (NTS 75G); Northwest Territories Geological Survey, NWT Open File 2020‐02, 1 map, 1:250 000 scale, and digital files.

  7. Geo-mapping of Zé Pereira CZO

    • figshare.com
    zip
    Updated Jan 16, 2024
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    Benedito Silva (2024). Geo-mapping of Zé Pereira CZO [Dataset]. http://doi.org/10.6084/m9.figshare.25003430.v1
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    zipAvailable download formats
    Dataset updated
    Jan 16, 2024
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Benedito Silva
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Georeferenced physical data from the José Pereira river basin.

  8. ATA GeoMAP sources (v.2022-08)

    • geodata.nz
    ogc:wms +1
    Updated Jan 1, 2015
    + more versions
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    GNS Science (2015). ATA GeoMAP sources (v.2022-08) [Dataset]. https://geodata.nz/geonetwork/srv/api/records/E93FE4EA-5B0D-4D99-8A01-864370931CAA
    Explore at:
    www:link-1.0-http--link, ogc:wmsAvailable download formats
    Dataset updated
    Jan 1, 2015
    Dataset provided by
    GNS Sciencehttp://www.gns.cri.nz/
    Area covered
    Description

    This layer is a geological map bibliography for Antarctica. It was produced by GNS Science in conjunction with partners in the SCAR GeoMAP project. It represents the sources referred to in the classification of geological map polygons. This layer depicts a selection of key maps, as polygon outlines with data providing links to original bibliographic source, that have been useful to the GeoMAP team. It shows the majority of, but not necessarily all, geological maps available for Antarctica. The dataset comprises polygons with each having attributes describing the source's authors, title, publication, year, program and scale of publication. The data structure complies with the GeoSciML 4.1 standard where relevant and uses the relevant CGI Controlled Vocabularies.The GeoMAP dataset was produced as part of the Regional Geological Map Archive and Datafile, one of the Nationally Significant Collections and Databases supported by the New Zealand Government’s Strategic Science Investment Fund (contract C05X1701).DOI https://doi.org/10.21420/7SH7-6K05

  9. Data from: ATA SCAR GeoMAP geology

    • catalogue.data.govt.nz
    file geodatabase
    Updated May 28, 2020
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    GNS Science (2020). ATA SCAR GeoMAP geology [Dataset]. https://catalogue.data.govt.nz/dataset/ata-scar-geomap-geology
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    file geodatabaseAvailable download formats
    Dataset updated
    May 28, 2020
    Dataset provided by
    GNS Sciencehttp://www.gns.cri.nz/
    Description

    This collection of datasets comprises geological information for Antarctica. They have been compiled by the GeoMAP team led by GNS Science. This work utilsed co-funding from GNS Science's Nationally Significant Databases and Collections Programme (NSDC) and international collaboration through the SCAR GeoMAP project. It represents a synthesis of existing published and unpublished mapping of the geology of this area in a single geodatabase at a regional scale. The data comprises geological unit polygon geometry and attribute fields describing the unit type, name, age, lithology, stratigraphy, and supporting background information, where this is known and geological fault polyline geometry and attribute fields describing locational accuracy, exposure, fault type, and supporting background information, where this is known.

  10. Geomap

    • kaggle.com
    zip
    Updated Mar 31, 2020
    + more versions
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    Solyoh21 (2020). Geomap [Dataset]. https://www.kaggle.com/datasets/solyoh21/geomap
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    zip(113068 bytes)Available download formats
    Dataset updated
    Mar 31, 2020
    Authors
    Solyoh21
    Description

    Dataset

    This dataset was created by Solyoh21

    Contents

  11. B

    Casestudy on geomapping translations of German fiction extracted from the...

    • borealisdata.ca
    • search.dataone.org
    Updated Sep 2, 2022
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    Lisa Teichmann (2022). Casestudy on geomapping translations of German fiction extracted from the German National Library [Dataset]. http://doi.org/10.5683/SP3/VNUEP0
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 2, 2022
    Dataset provided by
    Borealis
    Authors
    Lisa Teichmann
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Dataset of the bibliographic data of translated works by Ilse Aichinger, Herta Müller, Ingeborg Bachman, Emine Sevgi Özdamar, Verena Stefan, and Yoko Tawada extracted from the German National Library Catalogue accompanied by an R script. Prepared to accompany the poster presentation at the Spatial Humanities conference 2022.

  12. d

    One in fifty thousand Geological Map Index Map

    • data.gov.tw
    csv
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    Ministry of Economic Affairs, One in fifty thousand Geological Map Index Map [Dataset]. https://data.gov.tw/en/datasets/8293
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    csvAvailable download formats
    Dataset authored and provided by
    Ministry of Economic Affairs
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    This data set is provided using WMS service (https://geomap.gsmma.gov.tw/mapguide/mapagent/mapagent.fcgi?version1.0.5&formatimage/png). Please add the URL shown in the downloaded file to GIS software (such as QGIS) to select this layer in the directory.

  13. d

    Basin Geology Map - Strata

    • data.gov.tw
    csv
    Updated Jun 2, 2025
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    Ministry of Economic Affairs (2025). Basin Geology Map - Strata [Dataset]. https://data.gov.tw/en/datasets/8937
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    csvAvailable download formats
    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    Ministry of Economic Affairs
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    This dataset is provided through WMS service (https://geomap.gsmma.gov.tw/mapguide/mapagent/mapagent.fcgi?version1.0.0&formatimage/png). Please add the URL shown in the downloaded file to GIS software (such as QGIS) to select this layer in the directory.

  14. Drummond and Galilee Qld, (Geomap 2005) GDI 1997/1998 (P793), magnetic line...

    • data.gov.au
    html, x-netcdf
    Updated Jun 7, 2021
    + more versions
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    Geoscience Australia (2021). Drummond and Galilee Qld, (Geomap 2005) GDI 1997/1998 (P793), magnetic line data, AWAGS levelled [Dataset]. https://data.gov.au/dataset/ds-ga-01bc75d7-60c5-4d4b-8a25-076d41d1baa8
    Explore at:
    x-netcdf, htmlAvailable download formats
    Dataset updated
    Jun 7, 2021
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Queensland
    Description

    Total magnetic intensity (TMI) data measures variations in the intensity of the Earth's magnetic field caused by the contrasting content of rock-forming minerals in the Earth crust. Magnetic …Show full descriptionTotal magnetic intensity (TMI) data measures variations in the intensity of the Earth's magnetic field caused by the contrasting content of rock-forming minerals in the Earth crust. Magnetic anomalies can be either positive (field stronger than normal) or negative (field weaker) depending on the susceptibility of the rock. The data are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. These line dataset from the Drummond & Galilee Qld, (Geomap 2005) GDI 1997/1998 survey were acquired in 1997 by the QLD Government, and consisted of 198262 line-kilometres of data at 400m line spacing and 80m terrain clearance. To constrain long wavelengths in the data, an independent data set, the Australia-wide Airborne Geophysical Survey (AWAGS) airborne magnetic data, was used to control the base levels of the survey data. This survey data is essentially levelled to AWAGS.

  15. Seoul-geomap

    • kaggle.com
    zip
    Updated Jul 20, 2023
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    Amir Baniasadi (2023). Seoul-geomap [Dataset]. https://www.kaggle.com/amirbaniasadi/seoul-geomap
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    zip(59308 bytes)Available download formats
    Dataset updated
    Jul 20, 2023
    Authors
    Amir Baniasadi
    Area covered
    Seoul
    Description

    Dataset

    This dataset was created by Amir Baniasadi

    Contents

  16. Adavale Qld, (Geomap 2005) GDI 1997/1998 (P795), magnetic line data, AWAGS...

    • ecat.ga.gov.au
    • researchdata.edu.au
    Updated Jul 6, 2021
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    Commonwealth of Australia (Geoscience Australia) (2021). Adavale Qld, (Geomap 2005) GDI 1997/1998 (P795), magnetic line data, AWAGS levelled [Dataset]. https://ecat.ga.gov.au/geonetwork/srv/api/records/f97aef47-952a-403f-82d9-e67bf653ee3e
    Explore at:
    www:link-1.0-http--link, www:link-1.0-http--opendapAvailable download formats
    Dataset updated
    Jul 6, 2021
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    Time period covered
    Mar 17, 1998 - Jun 27, 1998
    Area covered
    Description

    Total magnetic intensity (TMI) data measures variations in the intensity of the Earth's magnetic field caused by the contrasting content of rock-forming minerals in the Earth crust. Magnetic anomalies can be either positive (field stronger than normal) or negative (field weaker) depending on the susceptibility of the rock. The data are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. These line dataset from the Adavale Qld, (Geomap 2005) GDI 1997/1998 survey were acquired in 1998 by the QLD Government, and consisted of 174490 line-kilometres of data at 400m line spacing and 80m terrain clearance. To constrain long wavelengths in the data, an independent data set, the Australia-wide Airborne Geophysical Survey (AWAGS) airborne magnetic data, was used to control the base levels of the survey data. This survey data is essentially levelled to AWAGS.

  17. a

    Abitau Lake - NTS 75B (NWT Open File 2020‐01) Data Set

    • ntgs-open-data-ntgs.hub.arcgis.com
    Updated Jun 9, 2020
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    NWT Geological Survey (2020). Abitau Lake - NTS 75B (NWT Open File 2020‐01) Data Set [Dataset]. https://ntgs-open-data-ntgs.hub.arcgis.com/datasets/ae61488036a34a7188a210c2a6432bc0
    Explore at:
    Dataset updated
    Jun 9, 2020
    Dataset authored and provided by
    NWT Geological Survey
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    Northwest Territories
    Description

    The Rae craton and adjoining Hearne craton are part of the western Churchill Province of the Canadian Shield. The present-day lithospheric architecture of the Rae craton is the result of the cumulative effects of crustal growth and tectonic processes, which persisted from the Paleoarchean to the Paleoproterozoic, resulting in the assembly of the most ancient supercontinent, Nuna. The Archean history of the Rae craton is poorly understood, which hampers the understanding of the Proterozoic reworking.The South Rae craton (southernmost portion of the Rae craton) has seen little research in the Northwest Territories (NWT) since it was first mapped at reconnaissance scale in the 1950s to 1960s, when access was provided by canoe and float plane. The three-year South Rae mapping project of the Geological Survey of Canada’s (GSC) Geomapping for Energy and Minerals (GEM) program was initiated in collaboration with the Northwest Territories Geological Survey (NTGS) to improve understanding of the tectonic evolution and economic potential of the South Rae craton, and the role the South Rae craton plays in the assembly of the Canadian Shield.A 400-km long transect, from the Hearne craton in the east to the Taltson magmatic zone in the west, was undertaken in order to update and modernize the geological framework. Four new 1:250 000 scale bedrock geology maps (NTS 75A, B, G, and H) have been published (this map; Martel et al. 2020a; b; and c), each map is accompanied by digital data.NWT Open Report 2020-01 contains information on data sources related to this dataset and additional geological interpretation. Some layers files (.LYR) depend on font uploads (not available in this download) are available in the original publication and will not display properly.Recommended Citation: Martel, E., Pehrsson, S.J., Jamison, D., Thiessen, E.J., Pierce, K.L., Acosta‐Góngora, P., and Davis,W.J., 2020. Geology of the Abitau Lake area, South Rae craton, Northwest Territories (NTS75B); Northwest Territories Geological Survey, NWT Open File 2020‐01, 1 map, 1:250 000 scale, and digital files.

  18. d

    Rock mass sliding potential analysis diagram

    • data.gov.tw
    csv
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    Ministry of Economic Affairs, Rock mass sliding potential analysis diagram [Dataset]. https://data.gov.tw/en/datasets/9701
    Explore at:
    csvAvailable download formats
    Dataset authored and provided by
    Ministry of Economic Affairs
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    This data set is provided using WMS service (https://geomap.gsmma.gov.tw/mapguide/mapagent/mapagent.fcgi?version1.0.0&formatimage/png). Please add the URL shown in the downloaded file to GIS software (such as QGIS), and you can then select this layer from the directory.

  19. d

    Taiwan Active Fault Distribution Map (1:500,000 Scale Value File)

    • data.gov.tw
    csv
    Updated Jun 23, 2025
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    Ministry of Economic Affairs (2025). Taiwan Active Fault Distribution Map (1:500,000 Scale Value File) [Dataset]. https://data.gov.tw/en/datasets/5976
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Ministry of Economic Affairs
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Area covered
    Taiwan
    Description

    This dataset is provided by the WMS service at https://geomap.gsmma.gov.tw/mapguide/mapagent/mapagent.fcgi?version1.0.0&formatimage/png. Please add the URL shown in the downloaded file to GIS software (such as QGIS) and then you can select this layer from the directory.

  20. Adavale Qld, (Geomap 2005) GDI 1997/1998 (P795), elevation line data

    • researchdata.edu.au
    • ecat.ga.gov.au
    Updated 2019
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    Geophysical Acquisition & Processing Section; Geophysical Acquisition & Processing Section (2019). Adavale Qld, (Geomap 2005) GDI 1997/1998 (P795), elevation line data [Dataset]. https://researchdata.edu.au/adavale-qld-geomap-line-data/3434280
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    Dataset updated
    2019
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    Authors
    Geophysical Acquisition & Processing Section; Geophysical Acquisition & Processing Section
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    http://creativecommons.org/licenses/http://creativecommons.org/licenses/

    Time period covered
    Mar 17, 1998 - Jun 27, 1998
    Area covered
    Description

    The Digital Elevation Model represents ground surface topography between points of known elevation. The elevation data was calculated using the altimeters and Global Positioning System (GPS) sensor used for the benefit of airborne magnetic and radiometric data on the same survey. The elevation is the height relative to the Australian Height Datum GDA94 (AUSGEOID09). The processed elevation data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose.
    These line dataset from the Adavale Qld, (Geomap 2005) GDI 1997/1998 survey were acquired in 1998 by the QLD Government, and consisted of 174490 line-kilometres of data at 400m line spacing and 80m terrain clearance.

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Simon Christopher Cox; Christine S Smith Siddoway; Giovanni Capponi; Tamer Abu-Alam; Jasmine F Mawson; Nicola Dal Seno; Laura Crispini; Jacqueline A Halpin; Adam P Martin; Fraser Morgan; Gary S Wilson; Belinda Smith Lyttle; Samuel Elkind; Paul Morin; Matilda Ballinger; Lauren Bamber; Brett Kitchener; Luigi Lelli; Alexie Millikin; Louis Whitburn; Tristan White; Alex Burton-Johnson; David Elliot; Synnøve Elvevold; John W Goodge; Joachim Jacobs; Eugene Mikhalsky; John Smellie; Phil Scadden (2023). The GeoMAP (v.2022-08) continent-wide detailed geological dataset of Antarctica [Dataset]. http://doi.org/10.1594/PANGAEA.951482
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The GeoMAP (v.2022-08) continent-wide detailed geological dataset of Antarctica

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9 scholarly articles cite this dataset (View in Google Scholar)
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Dataset updated
Mar 16, 2023
Dataset provided by
PANGAEA
Authors
Simon Christopher Cox; Christine S Smith Siddoway; Giovanni Capponi; Tamer Abu-Alam; Jasmine F Mawson; Nicola Dal Seno; Laura Crispini; Jacqueline A Halpin; Adam P Martin; Fraser Morgan; Gary S Wilson; Belinda Smith Lyttle; Samuel Elkind; Paul Morin; Matilda Ballinger; Lauren Bamber; Brett Kitchener; Luigi Lelli; Alexie Millikin; Louis Whitburn; Tristan White; Alex Burton-Johnson; David Elliot; Synnøve Elvevold; John W Goodge; Joachim Jacobs; Eugene Mikhalsky; John Smellie; Phil Scadden
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Variables measured
Binary Object, Binary Object (MD5 Hash), Binary Object (File Size), Binary Object (Media Type)
Description

A dataset describing exposed bedrock and surficial geology of Antarctica constructed by the GeoMAP Action Group of SCAR (The Scientific Committee on Antarctic Research) and GNS Science, New Zealand. Legacy geological map data have been captured into a geographic information system (GIS), refining its spatial reliability, harmonising classification, then improving representation of glacial sequences and geomorphology. A total 99,080 polygons have been unified for depicting geology at 1:250,000 scale, but locally there are some areas with higher spatial precision. Geological definition in GeoMAP v.2022-08 is founded on a mixed chronostratigraphic- and lithostratigraphic-based classification. Description of rock and moraine polygons employs international GeoSciML data protocols to provide attribute-rich and queriable data; including bibliographic links to 589 source maps and scientific literature. Data are provided under CC-BY License as zipped ArcGIS geodatabase, QGIS geopackage or GoogleEarth kmz files. GeoMAP is the first detailed geological dataset covering all of Antarctica. GeoMAP depicts 'known geology' of rock exposures rather than 'interpreted' sub-ice features and is suitable for continent-wide perspectives and cross-discipline interrogation.

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