100+ datasets found
  1. 2020 Cartographic Boundary File (KML), Current County and Equivalent for...

    • catalog.data.gov
    • datasets.ai
    Updated Dec 14, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2020 Cartographic Boundary File (KML), Current County and Equivalent for United States, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2020-cartographic-boundary-file-kml-current-county-and-equivalent-for-united-states-1-500000
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    The 2020 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The generalized boundaries for counties and equivalent entities are based on those as of January 1, 2020, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

  2. g

    Mexico Shapefile

    • geopostcodes.com
    shp
    Updated May 24, 2025
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    GeoPostcodes (2025). Mexico Shapefile [Dataset]. https://www.geopostcodes.com/country/mexico-shapefile
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    shpAvailable download formats
    Dataset updated
    May 24, 2025
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    Mexico
    Description

    Download high-quality, up-to-date Mexico shapefile boundaries (SHP, projection system SRID 4326). Our Mexico Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

  3. Marine Seismic Surveys Shape files and Kml files

    • ecat.ga.gov.au
    • datadiscoverystudio.org
    • +4more
    Updated Apr 8, 2019
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    Commonwealth of Australia (Geoscience Australia) (2019). Marine Seismic Surveys Shape files and Kml files [Dataset]. https://ecat.ga.gov.au/geonetwork/js/api/records/ca7c3ed4-1b4d-442e-e044-00144fdd4fa6
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    www:link-1.0-http--linkAvailable download formats
    Dataset updated
    Apr 8, 2019
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    Area covered
    Description

    Geoscience Australia has been updating its collection of navigation for marine seismic surveys in Australia. These include original navigation files, the 2003 SNIP navigation files and digitised survey track maps. The result will be an updated cleansed navigation collection.

    The collection is based on the SNIP format P190 navigation file which follows the UKOOA standard. Industry standard metadata associated with a seismic survey is preserved.

    To assist industry, Geoscience Australia is making available its updated version of cleansed navigation. Although the process of updating the navigation data is ongoing and there is still legacy data to check, the navigation data is at a point where a significant improvement has been achieved and it is now usable. Users should be aware that this navigation is not final and there may be errors. Geoscience Australia (email - AusGeodata@ga.gov.au) appreciates being notified of any errors found.

    The data is available in both KML and Shape file formats.

    The KML file can be viewed using a range of applications including Google Earth, NASA WorldWind, ESRI ArcGIS Explorer, Adobe PhotoShop, AutoCAD3D or any other earth browser (geobrowser) that accepts KML formatted data.

    Alternatively the Shape files can be downloaded and viewed using any application that supports shape files.

    Disclaimer: Geoscience Australia gives no warranty regarding the data downloads provided herein nor the data's accuracy, completeness, currency or suitability for any particular purpose. Geoscience Australia disclaims all other liability for all loss, damages, expense and costs incurred by any person as a result of relying on the information in the data downloads.

  4. 2022 Cartographic Boundary File (KML), United States, 1:5,000,000

    • catalog.data.gov
    • gimi9.com
    Updated Dec 14, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2022 Cartographic Boundary File (KML), United States, 1:5,000,000 [Dataset]. https://catalog.data.gov/dataset/2022-cartographic-boundary-file-kml-united-states-1-5000000
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    The 2022 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. This file depicts the shape of the United States clipped back to a generalized coastline. This nation layer covers the extent of the fifty states, the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) when scale appropriate.

  5. e

    CTE Plots KML shapefile and coordinates

    • portal.edirepository.org
    • search.dataone.org
    • +2more
    csv, kml
    Updated May 18, 2018
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    Mei Yu; Jess Zimmerman; Andrew McFadden (2018). CTE Plots KML shapefile and coordinates [Dataset]. http://doi.org/10.6073/pasta/bb50a5d09739beb22f6f7118a2d213ab
    Explore at:
    kml(30552), csv(1764)Available download formats
    Dataset updated
    May 18, 2018
    Dataset provided by
    EDI
    Authors
    Mei Yu; Jess Zimmerman; Andrew McFadden
    Time period covered
    Jun 7, 2011 - May 18, 2018
    Area covered
    Variables measured
    CTE Block-PLot identifier, Latitude of the Block-Plot, Longitude of the Block-Plot
    Description

    The Canopy Trimming Experiment Plots KML shapefile and coordinates

  6. d

    Shapefile to DJI Pilot KML conversion tool

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
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    Cadieux, Nicolas (2023). Shapefile to DJI Pilot KML conversion tool [Dataset]. http://doi.org/10.5683/SP3/W1QMQ9
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Cadieux, Nicolas
    Description

    This Python script (Shape2DJI_Pilot_KML.py) will scan a directory, find all the ESRI shapefiles (.shp), reproject to EPSG 4326 (geographic coordinate system WGS84 ellipsoid), create an output directory and make a new Keyhole Markup Language (.kml) file for every line or polygon found in the files. These new *.kml files are compatible with DJI Pilot 2 on the Smart Controller (e.g., for M300 RTK). The *.kml files created directly by ArcGIS or QGIS are not currently compatible with DJI Pilot.

  7. MRCE Plots KML shapefile and coordinates

    • search.dataone.org
    • portal.edirepository.org
    Updated Nov 20, 2023
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    Andrew McFadden; Eda Melendez-Colom (2023). MRCE Plots KML shapefile and coordinates [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-luq%2F26%2F4
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    Dataset updated
    Nov 20, 2023
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Andrew McFadden; Eda Melendez-Colom
    Variables measured
    Coordinate Type, Given Plot Number, Coordinate Type Description, Latitude geographic coordinate degrees, Longitude geographic coordinate degrees
    Description

    The coordinates and shapefile (kml) of the MRCE Plots

  8. e

    Elevation Plots KML Shapefile and Coordinates

    • portal.edirepository.org
    • search.datacite.org
    csv, kml
    Updated May 21, 2018
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    Mei Yu; Jess Zimmerman; Andrew McFadden (2018). Elevation Plots KML Shapefile and Coordinates [Dataset]. http://doi.org/10.6073/pasta/fbd9d1bd0a34c5685482ff82baf45353
    Explore at:
    kml(11628), csv(246)Available download formats
    Dataset updated
    May 21, 2018
    Dataset provided by
    EDI
    Authors
    Mei Yu; Jess Zimmerman; Andrew McFadden
    Time period covered
    Feb 17, 2012
    Area covered
    Variables measured
    Site Name, Latitude of the Block-Plot, Longitude of the Block-Plot
    Description

    The Elevation KML shapefile and coordinates

  9. EVFS incoming power lines KML shapefile and coordinates

    • search.dataone.org
    • portal.edirepository.org
    Updated Dec 11, 2018
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    Andrew McFadden; Eda Melendez-Colom (2018). EVFS incoming power lines KML shapefile and coordinates [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-luq%2F27%2F2
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    Dataset updated
    Dec 11, 2018
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Andrew McFadden; Eda Melendez-Colom
    Time period covered
    Feb 17, 2012
    Area covered
    Variables measured
    Coordinate Type, Assigned record number, Coordinate Type Description, Latitude geographic coordinate degrees, Longitude geographic coordinate degrees
    Description

    The coordinates and shapefile (kml) of the incoming power lines near El Verde Field Station

  10. e

    Fernandez Plots KML shapefile and coordinates

    • portal.edirepository.org
    csv, kml
    Updated Nov 30, 2018
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    Andrew McFadden; Eda Melendez-Colom (2018). Fernandez Plots KML shapefile and coordinates [Dataset]. http://doi.org/10.6073/pasta/324a50144fb30e4ac0e0c5e2aee05d5e
    Explore at:
    csv(2526), kml(15189)Available download formats
    Dataset updated
    Nov 30, 2018
    Dataset provided by
    EDI
    Authors
    Andrew McFadden; Eda Melendez-Colom
    Area covered
    Variables measured
    Coordinate Type, Given Plot Number, Coordinate Type Description, Latitude geographic coordinate degrees, Longitude geographic coordinate degrees
    Description

    The coordinates and shapefile (kml) of the Fernandez plots near El Verde Field Station

  11. g

    Taiwan Shapefile

    • geopostcodes.com
    shp
    Updated Jun 11, 2025
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    GeoPostcodes (2025). Taiwan Shapefile [Dataset]. https://www.geopostcodes.com/country/taiwan-shapefile
    Explore at:
    shpAvailable download formats
    Dataset updated
    Jun 11, 2025
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    Taiwan
    Description

    Download high-quality, up-to-date Taiwan shapefile boundaries (SHP, projection system SRID 4326). Our Taiwan Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

  12. Plots_Klawinski Plots KML shapefile and coordinates

    • search.dataone.org
    • portal.edirepository.org
    Updated Nov 20, 2023
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    Paul Klawinski; Andrew McFadden; Eda Melendez-Colom (2023). Plots_Klawinski Plots KML shapefile and coordinates [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-luq%2F19%2F16
    Explore at:
    Dataset updated
    Nov 20, 2023
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Paul Klawinski; Andrew McFadden; Eda Melendez-Colom
    Time period covered
    Jan 1, 2018
    Area covered
    Variables measured
    Coordinate Type, Latitude of the Plot, Longitude of the Plot
    Description

    The coordinates and shapefile (kml) of the Paul Klawinsky plots near El Verde Field Station

  13. e

    El Verde Field Station (EVFS) Area Boundary KML shapefile and coordinates

    • portal.edirepository.org
    • search.dataone.org
    • +1more
    csv, kml
    Updated May 18, 2018
    + more versions
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    Mei Yu; Jess Zimmerman; Andrew McFadden (2018). El Verde Field Station (EVFS) Area Boundary KML shapefile and coordinates [Dataset]. http://doi.org/10.6073/pasta/20eb51305762386d8cf4698ccef3c628
    Explore at:
    kml(25202), csv(12258), csv(6124)Available download formats
    Dataset updated
    May 18, 2018
    Dataset provided by
    EDI
    Authors
    Mei Yu; Jess Zimmerman; Andrew McFadden
    Time period covered
    Jun 5, 1937 - Jun 18, 2018
    Area covered
    Variables measured
    Latitude, Longitude, Record Number
    Description

    The EVFS Area Boundary shapefile (.kml) and coordinates

  14. d

    Building Footprints (current).

    • datadiscoverystudio.org
    • data.cityofchicago.org
    • +1more
    csv, json
    Updated Feb 3, 2018
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    (2018). Building Footprints (current). [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/57c1600ae5cd4c6db2fad3195523be58/html
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 3, 2018
    Description

    description: Building footprints in Chicago. Metadata may be viewed and downloaded at http://bit.ly/HZVDIY. The data can be viewed on the Chicago Data Portal with a web browser. However, to view or use the files outside of a web browser, you will need to use compression software and special GIS software, such as ESRI ArcGIS (shapefile) or Google Earth (KML or KMZ), is required.; abstract: Building footprints in Chicago. Metadata may be viewed and downloaded at http://bit.ly/HZVDIY. The data can be viewed on the Chicago Data Portal with a web browser. However, to view or use the files outside of a web browser, you will need to use compression software and special GIS software, such as ESRI ArcGIS (shapefile) or Google Earth (KML or KMZ), is required.

  15. d

    City_Boundary

    • catalog.data.gov
    • data.cityofchicago.org
    Updated Jun 8, 2024
    + more versions
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    data.cityofchicago.org (2024). City_Boundary [Dataset]. https://catalog.data.gov/dataset/city-boundary-aa8f5
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    Dataset updated
    Jun 8, 2024
    Dataset provided by
    data.cityofchicago.org
    Description

    City boundary of Chicago. The data can be viewed on the Chicago Data Portal with a web browser. However, to view or use the files outside of a web browser, you will need to use compression software and special GIS software, such as ESRI ArcGIS (shapefile) or Google Earth (KML or KMZ).

  16. B

    GIS2DJI: GIS file to DJI Pilot kml conversion tool

    • borealisdata.ca
    Updated Feb 22, 2024
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    Nicolas Cadieux (2024). GIS2DJI: GIS file to DJI Pilot kml conversion tool [Dataset]. http://doi.org/10.5683/SP3/AFPMUJ
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 22, 2024
    Dataset provided by
    Borealis
    Authors
    Nicolas Cadieux
    License

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

    Description

    GIS2DJI is a Python 3 program created to exports GIS files to a simple kml compatible with DJI pilot. The software is provided with a GUI. GIS2DJI has been tested with the following file formats: gpkg, shp, mif, tab, geojson, gml, kml and kmz. GIS_2_DJI will scan every file, every layer and every geometry collection (ie: MultiPoints) and create one output kml or kmz for each object found. It will import points, lines and polygons, and converted each object into a compatible DJI kml file. Lines and polygons will be exported as kml files. Points will be converted as PseudoPoints.kml. A PseudoPoints fools DJI to import a point as it thinks it's a line with 0 length. This allows you to import points in mapping missions. Points will also be exported as Point.kmz because PseudoPoints are not visible in a GIS or in Google Earth. The .kmz file format should make points compatible with some DJI mission software.

  17. g

    Ivory Coast Shapefile

    • geopostcodes.com
    shp
    Updated May 28, 2025
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    GeoPostcodes (2025). Ivory Coast Shapefile [Dataset]. https://www.geopostcodes.com/country/ivory-coast-shapefile
    Explore at:
    shpAvailable download formats
    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    Côte d'Ivoire
    Description

    Download high-quality, up-to-date Ivory Coast shapefile boundaries (SHP, projection system SRID 4326). Our Ivory Coast Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

  18. Marine Seismic Survey Shape and Kml Files - 2014 Version

    • data.gov.au
    • ecat.ga.gov.au
    • +3more
    kml, shp
    Updated Jun 24, 2017
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    Geoscience Australia (2017). Marine Seismic Survey Shape and Kml Files - 2014 Version [Dataset]. https://data.gov.au/data/dataset/activity/marine-seismic-survey-shape-and-kml-files-2014-version
    Explore at:
    shp, kmlAvailable download formats
    Dataset updated
    Jun 24, 2017
    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

    Description

    Geoscience Australia is releasing its 2014 version of the Marine Seismic Surveys Shape and Kml files. These files have been updated to include recent openfile surveys. The spatial files have been created from a cleansed, updated collection of p190 navigation files. This navigation collection has grown from the checking of navigation submitted to the GA Repository under the Offshore Petroleum and Greenhouse Gas Storage Regulations, checking of the 2003 SNIP navigation files and the digitisation of old survey track maps as required. Soon the individual p190 files will be available for download through the new NOPIMS delivery system. The collection is based on P190 navigation files which follows the UKOOA standard. Extensive industry standard metadata associated with a seismic survey is preserved in the attribute tables of these datasets.

    The shapefiles have been categorised into 3D exploration, 2D exploration and 2D investigative seismic files. All marine surveys undertaken by Geoscience Australia for exploration or investigative purposes have been included in the collection. Geoscience Australia (email - AusGeodata@ga.gov.au) appreciates being notified of any errors found in the navigation collection.

    The data is available in both KML and Shape file formats.

    The KML file can be viewed using a range of applications including Google Earth, NASA WorldWind, ESRI ArcGIS Explorer, Adobe PhotoShop, AutoCAD3D or any other earth browser (geobrowser) that accepts KML formatted data.

    Alternatively the Shape files can be downloaded and viewed using any application that supports shape files.

    Disclaimer: Geoscience Australia gives no warranty regarding the data downloads provided herein nor the data's accuracy, completeness, currency or suitability for any particular purpose. Geoscience Australia disclaims all other liability for all loss, damages, expense and costs incurred by any person as a result of relying on the information in the data downloads.

    You can also purchase hard copies of Geoscience Australia data and other products at http://www.ga.gov.au/products-services/how-to-order-products/sales-centre.html

  19. 2020 Cartographic Boundary File (KML), Current American Indian/Alaska...

    • catalog.data.gov
    Updated Dec 14, 2023
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2020 Cartographic Boundary File (KML), Current American Indian/Alaska Native/Native Hawaiian Areas for United States, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2020-cartographic-boundary-file-kml-current-american-indian-alaska-native-native-hawaiian-areas
    Explore at:
    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Alaska, United States
    Description

    The 2020 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. The American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas file includes the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and state designated tribal statistical areas (SDTSAs). Joint use areas included in this file refer to areas that are administered jointly and/or claimed by two or more American Indian tribes. The Census Bureau designates both legal and statistical joint use areas as unique geographic entities for the purpose of presenting statistical data. Note that tribal subdivisions and Alaska Native Regional Corporations (ANRCs) are additional types of American Indian/Alaska Native areas stored by the Census Bureau, but are displayed in separate files because of how they fall within the Census Bureau's geographic hierarchy. The State of Hawaii's Office of Hawaiian Home Lands provides the legal boundaries for the HHLs. The boundaries for ANVSAs, OTSAs, and TDSAs were delineated for the 2020 Census through the Participant Statistical Areas Program (PSAP) by participants from the federally recognized tribal governments. The Bureau of Indian Affairs (BIA) within the U.S. Department of the Interior (DOI) provides the list of federally recognized tribes and only provides legal boundary information when the tribes need supporting records, if a boundary is based on treaty or another document that is historical or open to legal interpretation, or when another tribal, state, or local government challenges the depiction of a reservation or off-reservation trust land. The generalzied boundaries for federally recognized American Indian reservations and off-reservation trust lands are as of January 1, 2020, as reported by the federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries for state-recognized American Indian reservations and for SDTSAs are based on those delineated by state governor-appointed liaisons for the 2020 Census through the State American Indian Reservation Program and PSAP respectively.

  20. GEODATA TOPO 250K Series 3 (Google Earth format)

    • ecat.ga.gov.au
    • researchdata.edu.au
    Updated Jan 1, 2007
    + more versions
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    Commonwealth of Australia (Geoscience Australia) (2007). GEODATA TOPO 250K Series 3 (Google Earth format) [Dataset]. https://ecat.ga.gov.au/geonetwork/srv/api/records/a05f7892-cfc7-7506-e044-00144fdd4fa6
    Explore at:
    www:link-1.0-http--linkAvailable download formats
    Dataset updated
    Jan 1, 2007
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    Area covered
    Description

    PLEASE NOTE: These data do not include data over Tasmania. Please see links relevant to that area.

    GEODATA TOPO 250K Series 3 is a vector representation of the major topographic features appearing on the 1:250,000 scale NATMAPs supplied in KML format and is designed for use in a range of commercial GIS software. Data is arranged within specific themes. All data is based on the GDA94 coordinate system.

    GEODATA TOPO 250K Series 3 is available as a free download product in Personal Geodatabase, ArcView Shapefile or MapInfo TAB file formats. Each package includes data arranged in ten main themes - cartography, elevation, framework, habitation, hydrography, infrastructure, terrain, transport, utility and vegetation. Data is also available as GEODATA TOPO 250K Series 3 for Google Earth in kml format for use on Google Earth TM Mapping Service.

    Product Specifications

    Themes: Cartography, Elevation, Framework, Habitation, Hydrography, Infrastructure, Terrain, Transport, Utility and Vegetation

    Coverage: National (Powerlines not available in South Australia)

    Currency: Data has a currency of less than five years for any location

    Coordinates: Geographical

    Datum: Geocentric Datum of Australia (GDA94)

    Formats: Personal Geodatabase, kml, Shapefile and MapInfo TAB

    Release Date: 26 June 2006

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U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2020 Cartographic Boundary File (KML), Current County and Equivalent for United States, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2020-cartographic-boundary-file-kml-current-county-and-equivalent-for-united-states-1-500000
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2020 Cartographic Boundary File (KML), Current County and Equivalent for United States, 1:500,000

Explore at:
Dataset updated
Dec 14, 2023
Dataset provided by
United States Census Bureauhttp://census.gov/
Area covered
United States
Description

The 2020 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The generalized boundaries for counties and equivalent entities are based on those as of January 1, 2020, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

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