100+ datasets found
  1. Digital Geomorphic-GIS Map of Gulf Islands National Seashore (5-meter...

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Nov 25, 2025
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    National Park Service (2025). Digital Geomorphic-GIS Map of Gulf Islands National Seashore (5-meter accuracy and 1-foot resolution 2006-2007 mapping), Mississippi and Florida (NPS, GRD, GRI, GUIS, GUIS_geomorphology digital map) adapted from U.S. Geological Survey Open File Report maps by Morton and Rogers (2009) and Morton and Montgomery (2010) [Dataset]. https://catalog.data.gov/dataset/digital-geomorphic-gis-map-of-gulf-islands-national-seashore-5-meter-accuracy-and-1-foot-r
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    Dataset updated
    Nov 25, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Guisguis Port Sariaya, Quezon
    Description

    The Digital Geomorphic-GIS Map of Gulf Islands National Seashore (5-meter accuracy and 1-foot resolution 2006-2007 mapping), Mississippi and Florida is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (guis_geomorphology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (guis_geomorphology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (guis_geomorphology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (guis_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (guis_geomorphology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (guis_geomorphology_metadata_faq.pdf). Please read the guis_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (guis_geomorphology_metadata.txt or guis_geomorphology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:26,000 and United States National Map Accuracy Standards features are within (horizontally) 13.2 meters or 43.3 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

  2. a

    Data from: Google Earth Engine (GEE)

    • hub.arcgis.com
    • amerigeo.org
    • +6more
    Updated Nov 29, 2018
    + more versions
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    AmeriGEOSS (2018). Google Earth Engine (GEE) [Dataset]. https://hub.arcgis.com/items/bb1b131beda24006881d1ab019205277
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    Dataset updated
    Nov 29, 2018
    Dataset authored and provided by
    AmeriGEOSS
    Description

    Meet Earth EngineGoogle Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities and makes it available for scientists, researchers, and developers to detect changes, map trends, and quantify differences on the Earth's surface.SATELLITE IMAGERY+YOUR ALGORITHMS+REAL WORLD APPLICATIONSLEARN MOREGLOBAL-SCALE INSIGHTExplore our interactive timelapse viewer to travel back in time and see how the world has changed over the past twenty-nine years. Timelapse is one example of how Earth Engine can help gain insight into petabyte-scale datasets.EXPLORE TIMELAPSEREADY-TO-USE DATASETSThe public data archive includes more than thirty years of historical imagery and scientific datasets, updated and expanded daily. It contains over twenty petabytes of geospatial data instantly available for analysis.EXPLORE DATASETSSIMPLE, YET POWERFUL APIThe Earth Engine API is available in Python and JavaScript, making it easy to harness the power of Google’s cloud for your own geospatial analysis.EXPLORE THE APIGoogle Earth Engine has made it possible for the first time in history to rapidly and accurately process vast amounts of satellite imagery, identifying where and when tree cover change has occurred at high resolution. Global Forest Watch would not exist without it. For those who care about the future of the planet Google Earth Engine is a great blessing!-Dr. Andrew Steer, President and CEO of the World Resources Institute.CONVENIENT TOOLSUse our web-based code editor for fast, interactive algorithm development with instant access to petabytes of data.LEARN ABOUT THE CODE EDITORSCIENTIFIC AND HUMANITARIAN IMPACTScientists and non-profits use Earth Engine for remote sensing research, predicting disease outbreaks, natural resource management, and more.SEE CASE STUDIESREADY TO BE PART OF THE SOLUTION?SIGN UP NOWTERMS OF SERVICE PRIVACY ABOUT GOOGLE

  3. G

    GIS Mapping Tools Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 21, 2025
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    Data Insights Market (2025). GIS Mapping Tools Report [Dataset]. https://www.datainsightsmarket.com/reports/gis-mapping-tools-533095
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    pdf, doc, pptAvailable download formats
    Dataset updated
    May 21, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Discover the booming GIS mapping tools market! This in-depth analysis reveals a $15B market in 2025 projected to reach $39B by 2033, driven by cloud adoption, AI integration, and surging demand across sectors. Explore key trends, leading companies (Esri, ArcGIS, QGIS, etc.), and regional growth forecasts.

  4. H

    Tutorial: How to use Google Data Studio and ArcGIS Online to create an...

    • hydroshare.org
    • dataone.org
    • +1more
    zip
    Updated Jul 31, 2020
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    Sarah Beganskas (2020). Tutorial: How to use Google Data Studio and ArcGIS Online to create an interactive data portal [Dataset]. http://doi.org/10.4211/hs.9edae0ef99224e0b85303c6d45797d56
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    zip(2.9 MB)Available download formats
    Dataset updated
    Jul 31, 2020
    Dataset provided by
    HydroShare
    Authors
    Sarah Beganskas
    License

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

    Description

    This tutorial will teach you how to take time-series data from many field sites and create a shareable online map, where clicking on a field location brings you to a page with interactive graph(s).

    The tutorial can be completed with a sample dataset (provided via a Google Drive link within the document) or with your own time-series data from multiple field sites.

    Part 1 covers how to make interactive graphs in Google Data Studio and Part 2 covers how to link data pages to an interactive map with ArcGIS Online. The tutorial will take 1-2 hours to complete.

    An example interactive map and data portal can be found at: https://temple.maps.arcgis.com/apps/View/index.html?appid=a259e4ec88c94ddfbf3528dc8a5d77e8

  5. Digital Geologic-GIS Map of San Miguel Island, California (NPS, GRD, GRI,...

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Nov 25, 2025
    + more versions
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    National Park Service (2025). Digital Geologic-GIS Map of San Miguel Island, California (NPS, GRD, GRI, CHIS, SMIS digital map) adapted from a American Association of Petroleum Geologists Field Trip Guidebook map by Weaver and Doerner (1969) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-san-miguel-island-california-nps-grd-gri-chis-smis-digital-map
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    Dataset updated
    Nov 25, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    San Miguel Island, California
    Description

    The Digital Geologic-GIS Map of San Miguel Island, California is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (smis_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (smis_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (smis_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) this file (chis_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (chis_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (smis_geology_metadata_faq.pdf). Please read the chis_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: American Association of Petroleum Geologists. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (smis_geology_metadata.txt or smis_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

  6. C

    Cloud GIS Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 20, 2025
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    Data Insights Market (2025). Cloud GIS Report [Dataset]. https://www.datainsightsmarket.com/reports/cloud-gis-1459478
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Cloud GIS market is booming, projected to reach $1513.8 million by 2025 with a 17.2% CAGR. Discover key drivers, trends, and leading companies shaping this rapidly evolving sector. Explore market forecasts, regional insights, and the future of cloud-based geographic information systems.

  7. Results from Google Earth address georeferencing.

    • figshare.com
    xls
    Updated Jun 3, 2023
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    Ana Isabel Ribeiro; Andreia Olhero; Hugo Teixeira; Alexandre Magalhães; Maria Fátima Pina (2023). Results from Google Earth address georeferencing. [Dataset]. http://doi.org/10.1371/journal.pone.0114130.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Ana Isabel Ribeiro; Andreia Olhero; Hugo Teixeira; Alexandre Magalhães; Maria Fátima Pina
    License

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

    Description

    Results from Google Earth address georeferencing.

  8. Digital Geologic-GIS Map of Russell Cave National Monument and Vicinity,...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 25, 2025
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    National Park Service (2025). Digital Geologic-GIS Map of Russell Cave National Monument and Vicinity, Alabama (NPS, GRD, GRI, RUCA, RUCA digital map) adapted from a U.S. Geological Survey Professional Paper map by Hack (1966) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-russell-cave-national-monument-and-vicinity-alabama-nps-grd-gr
    Explore at:
    Dataset updated
    Nov 25, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    The Digital Geologic-GIS Map of Russell Cave National Monument and Vicinity, Alabama is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (ruca_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (ruca_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (ruca_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (ruca_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (ruca_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (ruca_geology_metadata_faq.pdf). Please read the ruca_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (ruca_geology_metadata.txt or ruca_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

  9. Texas GIS Data By County

    • kaggle.com
    zip
    Updated Sep 9, 2022
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    ItsMundo (2022). Texas GIS Data By County [Dataset]. https://www.kaggle.com/datasets/itsmundo/texas-gis-data-by-county
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    zip(11720 bytes)Available download formats
    Dataset updated
    Sep 9, 2022
    Authors
    ItsMundo
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Texas
    Description

    This dataset was created to be used in my Capstone Project for the Google Data Analytics Professional Certificate. Data was web scraped from the state websites to combine the GIS information like FIPS, latitude, longitude, and County Codes by both number and Mailing Number.

    RStudio was used for this web scrape and join. For details on how it was done you can go to the following link for my Github repository.

    Feel free to follow my Github or LinkedIn profile to see what I end up doing with this Dataset.

  10. a

    Google Satellite Hybrid Base Map

    • azgeo-data-hub-agic.hub.arcgis.com
    • ministry-of-construction-portal-site-gisclm.hub.arcgis.com
    • +2more
    Updated Dec 10, 2020
    + more versions
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    Mohave County Arizona GIS (2020). Google Satellite Hybrid Base Map [Dataset]. https://azgeo-data-hub-agic.hub.arcgis.com/datasets/mohave::google-satellite-hybrid-base-map
    Explore at:
    Dataset updated
    Dec 10, 2020
    Dataset authored and provided by
    Mohave County Arizona GIS
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Google Base Map content for Mohave County, Arizona.

    Development based on the following article: Add Google Maps to ArcMap and Pro

  11. G

    GIS Software Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 4, 2025
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    Archive Market Research (2025). GIS Software Report [Dataset]. https://www.archivemarketresearch.com/reports/gis-software-48509
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Mar 4, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Discover the booming GIS software market! Explore its $15 billion valuation, 12% CAGR growth, key drivers, trends, and leading players like Esri & Google. This in-depth analysis reveals regional market share and future projections through 2033.

  12. Digital Geologic-GIS Map of Mammoth Cave National Park and Vicinity,...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 25, 2025
    + more versions
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    National Park Service (2025). Digital Geologic-GIS Map of Mammoth Cave National Park and Vicinity, Kentucky (NPS, GRD, GRI, MACA, ABLI, MACA digital map) adapted from U.S. Geological Survey Geologic Quadrangle Maps and Kentucky Geological Survey Digitally Vectorized Geological Quadrangle maps [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-mammoth-cave-national-park-and-vicinity-kentucky-nps-grd-gri-m
    Explore at:
    Dataset updated
    Nov 25, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Mammoth Cave, Kentucky
    Description

    The Digital Geologic-GIS Map of Mammoth Cave National Park and Vicinity, Kentucky is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (maca_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (maca_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (maca_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (maca_abli_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (maca_abli_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (maca_geology_metadata_faq.pdf). Please read the maca_abli_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey and Kentucky Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (maca_geology_metadata.txt or maca_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

  13. A

    Digital Geologic-GIS Map of Santa Cruz Island, California (NPS, GRD, GRI,...

    • data.amerigeoss.org
    api, zip
    Updated Sep 27, 2017
    + more versions
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    United States (2017). Digital Geologic-GIS Map of Santa Cruz Island, California (NPS, GRD, GRI, CHIS, SCIS digital map) adapted from an American Association of Petroleum Geologists Field Trip Guidebook map by the University of California, Santa Barbara Geological Survey (1969) [Dataset]. https://data.amerigeoss.org/ca/dataset/digital-geologic-gis-map-of-santa-cruz-island-california-nps-grd-gri-chis-scis-digital-map-1969
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    zip, apiAvailable download formats
    Dataset updated
    Sep 27, 2017
    Dataset provided by
    United States
    Area covered
    Santa Cruz Island, California
    Description

    The Unpublished Digital Geologic-GIS Map of Santa Cruz Island, California is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (scis_geology.gdb), a 10.1 ArcMap (.MXD) map document (scis_geology.mxd), individual 10.1 layer (.LYR) files for each GIS data layer, an ancillary map information (.PDF) document (chis_geology.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.TXT) and FAQ (.HTML) formats, and a GIS readme file (chis_gis_readme.pdf). Please read the chis_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O’Meara (stephanie.omeara@colostate.edu; see contact information below). The data is also available as a 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. Google Earth software is available for free at: http://www.google.com/earth/index.html. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: American Association of Petroleum Geologists. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (scis_metadata_faq.html; available at http://nrdata.nps.gov/geology/gri_data/gis/chis/scis_metadata_faq.html). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 11N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth. The data is within the area of interest of Channel Islands National Park.

  14. Digital Geologic-GIS Map of the French Gulch 15' Quadrangle, California...

    • s.cnmilf.com
    • catalog.data.gov
    Updated Oct 16, 2025
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    National Park Service (2025). Digital Geologic-GIS Map of the French Gulch 15' Quadrangle, California (NPS, GRD, GRI, WHIS, FREG digital map) adapted from a U.S. Geological Survey Bulletin map by Albers (1964) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/digital-geologic-gis-map-of-the-french-gulch-15-quadrangle-california-nps-grd-gri-whis-fre
    Explore at:
    Dataset updated
    Oct 16, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    French Gulch, California
    Description

    The Digital Geologic-GIS Map of the French Gulch 15' Quadrangle, California is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (freg_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (freg_geology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (whis_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (whis_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (freg_geology_metadata_faq.pdf). Please read the whis_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (freg_geology_metadata.txt or freg_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:62,500 and United States National Map Accuracy Standards features are within (horizontally) 31.8 meters or 104.2 feet of their actual _location as presented by this dataset. Users of this data should thus not assume the _location of features is exactly where they are portrayed in Google Earth, ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

  15. g

    GLA GIS Team - Google Mobility by Borough | gimi9.com

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    GLA GIS Team - Google Mobility by Borough | gimi9.com [Dataset]. https://gimi9.com/dataset/london_google-mobility-by-borough
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    Description

    These data provide evidence of how movement in London was been affected by the various control measures for COVID-19 and how much they recovered once those measures were eased. NOTE: Google stopped updates on 15th Oct 2022 This page summarises changes in activity from baseline obtained from Google's Mobility Report including: Retail and recreation Grocery and pharmacy Parks Transit stations Workplaces percent Residential Google collects location data shared by users of Android smartphones, and compares the time and duration of visits to locations to the median values on the same day of the week in the five weeks from 3 Jan 2020.

  16. Summary statistics of positional errors (in meters) according to address...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Ana Isabel Ribeiro; Andreia Olhero; Hugo Teixeira; Alexandre Magalhães; Maria Fátima Pina (2023). Summary statistics of positional errors (in meters) according to address georeferencing method. [Dataset]. http://doi.org/10.1371/journal.pone.0114130.t002
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Ana Isabel Ribeiro; Andreia Olhero; Hugo Teixeira; Alexandre Magalhães; Maria Fátima Pina
    License

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

    Description

    aGeographic Information System address georeferencing tool.bGlobal Positioning System.cIn a batch using Google Earth address georeferencing tool.dAddress by address using Google Earth address georeferencing tool.Summary statistics of positional errors (in meters) according to address georeferencing method.

  17. A

    Digital Geologic-GIS Map of the Brooks Range and Vicinity, Alaska (NPS, GRD,...

    • data.amerigeoss.org
    api, zip
    Updated Sep 22, 2017
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    United States (2017). Digital Geologic-GIS Map of the Brooks Range and Vicinity, Alaska (NPS, GRD, GRI, GAAR, CAKR, NOAT, KOVA, ARCN digital map) adapted from a U.S. Geological Survey Scientific Investigations Map by Wilson et. al. (2015), and Open-File Report ARDF maps by Britton (2000 and 2003), Dover (1997), Grybeck and Dumoulin (2006), Kelly (1997), Nelson (1997 and 2000), and Williams (2000) [Dataset]. https://data.amerigeoss.org/mn_MN/dataset/digital-geologic-gis-map-of-the-brooks-range-and-vicinity-alaska-nps-grd-gri-gaar-cakr-noa-2000
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    zip, apiAvailable download formats
    Dataset updated
    Sep 22, 2017
    Dataset provided by
    United States
    Area covered
    Alaska, Brooks Range
    Description

    The Unpublished Digital Geologic-GIS Map of the Brooks Range and Vicinity, Alaska is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (arcn_geology.gdb), a 10.1 ArcMap (.MXD) map document (arcn_geology.mxd), individual 10.1 layer (.LYR) files for each GIS data layer, an ancillary map information (.PDF) document (arcn_geology.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.TXT) and FAQ (.HTML) formats, and a GIS readme file (gaar_gis_readme.pdf). Please read the gaar_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O’Meara (stephanie.omeara@colostate.edu; see contact information below). The data is also available as a 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. Google Earth software is available for free at: http://www.google.com/earth/index.html. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey and U.S. Geological Survey . Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (arcn_metadata_faq.html; available at http://nrdata.nps.gov/geology/gri_data/gis/gaar/arcn_metadata_faq.html). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:25,000 and United States National Map Accuracy Standards features are within (horizontally) 127 meters or 416.7 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone AD_1983_Alaska_AlbersN, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth. The data is within the area of interest of Gates of the Arctic National Park and Preserve, Cape Krusenstern National Monument, Noatak National Preserve and Kobuk Valley National Park.

  18. Digital Geologic-GIS Map of Mount Rainier National Park, Washington (NPS,...

    • s.cnmilf.com
    • datasets.ai
    • +1more
    Updated Oct 16, 2025
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    National Park Service (2025). Digital Geologic-GIS Map of Mount Rainier National Park, Washington (NPS, GRD, GRI, MORA, MORA_geology digital map) adapted from a U.S. Geological Survey Miscellaneous Geologic Investigations Map by Fiske, Hopson and Waters (1964) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/digital-geologic-gis-map-of-mount-rainier-national-park-washington-nps-grd-gri-mora-mora-g
    Explore at:
    Dataset updated
    Oct 16, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    The Digital Geologic-GIS Map of Mount Rainier National Park, Washington is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (mora_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (mora_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) this file (mora_geology.gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (mora_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (mora_geology_metadata_faq.pdf). Please read the mora_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: http://www.google.com/earth/index.html. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (mora_geology_metadata.txt or mora_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:62,500 and United States National Map Accuracy Standards features are within (horizontally) 31.8 meters or 104.2 feet of their actual _location as presented by this dataset. Users of this data should thus not assume the _location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm). The GIS data projection is NAD83, UTM Zone 10N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth.

  19. A

    Unpublished Digital Geologic-GIS Map of Parts of Great Sand Dunes National...

    • data.amerigeoss.org
    api, pdf, zip
    Updated Jul 28, 2019
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    United States[old] (2019). Unpublished Digital Geologic-GIS Map of Parts of Great Sand Dunes National Park and Preserve (Sange de Cristo Mountains and part of the Dunes), Colorado (NPS, GRD, GRI, GRSA, GSAM digital map) adapted from U.S. Geological Survey Miscellaneous Field Studies Maps by Lindsey, Johnson, Bruce, Soulliere, Flores and Hafner (1985 to 1991) [Dataset]. https://data.amerigeoss.org/da_DK/dataset/unpublished-digital-geologic-gis-map-of-parts-of-great-sand-dunes-national-park-and-preser-1991
    Explore at:
    pdf, zip, apiAvailable download formats
    Dataset updated
    Jul 28, 2019
    Dataset provided by
    United States[old]
    Area covered
    Sangre de Cristo Mountains, Colorado
    Description

    The Unpublished Digital Geologic-GIS Map of Parts of Great Sand Dunes National Park and Preserve (Sange de Cristo Mountains and part of the Dunes), Colorado is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (gsam_geology.gdb), a 10.1 ArcMap (.mxd) map document (gsam_geology.mxd), individual 10.1 layer (.lyr) files for each GIS data layer, an ancillary map information document (grsa_geology.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.txt) and FAQ (.pdf) formats, and a GIS readme file (grsa_geology_gis_readme.pdf). Please read the grsa_geology_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O'Meara (stephanie.omeara@colostate.edu; see contact information below). The data is also available as a 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. Google Earth software is available for free at: http://www.google.com/earth/index.html. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (gsam_geology_metadata.txt or gsam_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 13N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth. The data is within the area of interest of Great Sand Dunes National Park and Preserve.

  20. Digital Geomorphic-GIS Map of Cape Lookout National Seashore, North Carolina...

    • s.cnmilf.com
    • datasets.ai
    • +1more
    Updated Oct 16, 2025
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    National Park Service (2025). Digital Geomorphic-GIS Map of Cape Lookout National Seashore, North Carolina (1:24,000 scale 2008 mapping) (NPS, GRD, GRI, CALO, CALO_geomorphology digital map) adapted from North Carolina Geological Survey unpublished digital data and maps by Coffey and Nickerson (2008) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/digital-geomorphic-gis-map-of-cape-lookout-national-seashore-north-carolina-1-24000-scale-
    Explore at:
    Dataset updated
    Oct 16, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Cape Lookout, North Carolina
    Description

    The Digital Geomorphic-GIS Map of Cape Lookout National Seashore, North Carolina (1:24,000 scale 2008 mapping) is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (calo_geomorphology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (calo_geomorphology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (calo_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (calo_geomorphology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (calo_geomorphology_metadata_faq.pdf). Please read the calo_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: North Carolina Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (calo_geomorphology_metadata.txt or calo_geomorphology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual _location as presented by this dataset. Users of this data should thus not assume the _location of features is exactly where they are portrayed in Google Earth, ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

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National Park Service (2025). Digital Geomorphic-GIS Map of Gulf Islands National Seashore (5-meter accuracy and 1-foot resolution 2006-2007 mapping), Mississippi and Florida (NPS, GRD, GRI, GUIS, GUIS_geomorphology digital map) adapted from U.S. Geological Survey Open File Report maps by Morton and Rogers (2009) and Morton and Montgomery (2010) [Dataset]. https://catalog.data.gov/dataset/digital-geomorphic-gis-map-of-gulf-islands-national-seashore-5-meter-accuracy-and-1-foot-r
Organization logo

Digital Geomorphic-GIS Map of Gulf Islands National Seashore (5-meter accuracy and 1-foot resolution 2006-2007 mapping), Mississippi and Florida (NPS, GRD, GRI, GUIS, GUIS_geomorphology digital map) adapted from U.S. Geological Survey Open File Report maps by Morton and Rogers (2009) and Morton and Montgomery (2010)

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Dataset updated
Nov 25, 2025
Dataset provided by
National Park Servicehttp://www.nps.gov/
Area covered
Guisguis Port Sariaya, Quezon
Description

The Digital Geomorphic-GIS Map of Gulf Islands National Seashore (5-meter accuracy and 1-foot resolution 2006-2007 mapping), Mississippi and Florida is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (guis_geomorphology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (guis_geomorphology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (guis_geomorphology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (guis_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (guis_geomorphology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (guis_geomorphology_metadata_faq.pdf). Please read the guis_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (guis_geomorphology_metadata.txt or guis_geomorphology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:26,000 and United States National Map Accuracy Standards features are within (horizontally) 13.2 meters or 43.3 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

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