100+ datasets found
  1. B

    Shapefile to DJI Pilot KML conversion tool

    • borealisdata.ca
    • search.dataone.org
    Updated Jan 30, 2023
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    Nicolas Cadieux (2023). Shapefile to DJI Pilot KML conversion tool [Dataset]. http://doi.org/10.5683/SP3/W1QMQ9
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 30, 2023
    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

    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.

  2. 2020 Cartographic Boundary File (KML), Current County and Equivalent for...

    • catalog.data.gov
    • datasets.ai
    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 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).

  3. 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

  4. Elevation Plots KML Shapefile and Coordinates

    • search.datacite.org
    • portal.edirepository.org
    Updated 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
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    Dataset updated
    2018
    Dataset provided by
    DataCitehttps://www.datacite.org/
    Environmental Data Initiative
    Authors
    Mei Yu; Jess Zimmerman; Andrew McFadden
    Description

    The Elevation KML shapefile and coordinates

  5. Marine Seismic Surveys Shape files and Kml files

    • data.gov.au
    • researchdata.edu.au
    • +1more
    kmz, zip
    Updated Jun 24, 2017
    + more versions
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    Geoscience Australia (2017). Marine Seismic Surveys Shape files and Kml files [Dataset]. https://data.gov.au/data/dataset/marine-seismic-surveys-shape-files-and-kml-files
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    kmz, zipAvailable 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 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.

    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

  6. Elevation Plots KML Shapefile and Coordinates

    • search.dataone.org
    Updated Nov 20, 2023
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    Mei Yu; Jess Zimmerman; Andrew McFadden (2023). Elevation Plots KML Shapefile and Coordinates [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-luq%2F11%2F9
    Explore at:
    Dataset updated
    Nov 20, 2023
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    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. Visit https://dataone.org/datasets/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-luq%2F11%2F9 for complete metadata about this dataset.

  7. e

    CTE Plots KML shapefile and coordinates

    • portal.edirepository.org
    • search.dataone.org
    • +1more
    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

  8. d

    Railroads - KML

    • catalog.data.gov
    • data.cityofchicago.org
    • +3more
    Updated Dec 2, 2023
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    data.cityofchicago.org (2023). Railroads - KML [Dataset]. https://catalog.data.gov/dataset/railroads-kml
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    Dataset updated
    Dec 2, 2023
    Dataset provided by
    data.cityofchicago.org
    Description

    KML files of railroads in Chicago. To view or use these files, special GIS software such Google Earth is required.

  9. C

    Buildings

    • data.cityofchicago.org
    • datasets.ai
    • +4more
    Updated Jan 6, 2013
    + more versions
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    City of Chicago (2013). Buildings [Dataset]. https://data.cityofchicago.org/Buildings/Buildings/tf32-rk4u
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    csv, application/geo+json, kml, xml, kmz, xlsxAvailable download formats
    Dataset updated
    Jan 6, 2013
    Dataset authored and provided by
    City of Chicago
    Description

    OUTDATED. See the current data at https://data.cityofchicago.org/d/hz9b-7nh8 -- Building footprints in 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), is required. Metadata may be viewed and downloaded at http://bit.ly/HZVDIY.

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

    • data.gov.au
    • researchdata.edu.au
    • +1more
    kml, shp
    Updated Jun 24, 2017
    + more versions
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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

  11. 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
    United States, Alaska
    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.

  12. e

    Plots_Klawinski Plots KML shapefile and coordinates

    • portal.edirepository.org
    • search.dataone.org
    csv, kml
    Updated Nov 29, 2018
    + more versions
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    Paul Klawinski; Andrew McFadden; Eda Melendez-Colom (2018). Plots_Klawinski Plots KML shapefile and coordinates [Dataset]. http://doi.org/10.6073/pasta/55be2ece38e4489abd595a15a34707f7
    Explore at:
    kml(80400), csv(1056)Available download formats
    Dataset updated
    Nov 29, 2018
    Dataset provided by
    EDI
    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. w

    U.S. Census Bureau - Geography

    • data.wu.ac.at
    • data.amerigeoss.org
    html
    Updated Mar 23, 2015
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    (2015). U.S. Census Bureau - Geography [Dataset]. https://data.wu.ac.at/schema/edx_netl_doe_gov/Njc1MThhYzAtNDQwNS00NGQ1LWFmZGYtMzk3ZjJiOGQzZTUx
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Mar 23, 2015
    Area covered
    b1e2e492da0b3669b508d13ea64a7d8ec44ccf82, United States
    Description

    Easy access to census data in map, KML, shapefile, and other formats. Could be used for GIS mapping.

  14. C

    Roscoe Village

    • data.cityofchicago.org
    csv, xlsx, xml
    Updated Apr 22, 2025
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    City of Chicago (2025). Roscoe Village [Dataset]. https://data.cityofchicago.org/w/cdcf-sehs/3q3f-6823?cur=Eld_114Woj1
    Explore at:
    xml, xlsx, csvAvailable download formats
    Dataset updated
    Apr 22, 2025
    Authors
    City of Chicago
    Area covered
    Roscoe Village
    Description

    Current community area boundaries in 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), is required.

  15. Shapefile

    • geopostcodes.com
    shp
    Updated Aug 23, 2025
    + more versions
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    GeoPostcodes (2025). Shapefile [Dataset]. https://www.geopostcodes.com/continent/asia/shapefile/
    Explore at:
    shpAvailable download formats
    Dataset updated
    Aug 23, 2025
    Dataset authored and provided by
    GeoPostcodes
    Description

    Download high-quality, up-to-date shapefile boundaries (SHP, projection system SRID 4326). Our 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.

  16. e

    Fernandez Plots KML shapefile and coordinates

    • portal.edirepository.org
    • search.dataone.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

  17. A

    Boundaries - ZIP Codes

    • data.amerigeoss.org
    • gimi9.com
    csv, json, kml, zip
    Updated Aug 24, 2016
    + more versions
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    United States (2016). Boundaries - ZIP Codes [Dataset]. https://data.amerigeoss.org/bg/dataset/boundaries-zip-codes
    Explore at:
    kml, zip, json, csvAvailable download formats
    Dataset updated
    Aug 24, 2016
    Dataset provided by
    United States
    Description

    ZIP Code boundaries in 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).

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

    • search.datacite.org
    • portal.edirepository.org
    • +1more
    Updated 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:
    Dataset updated
    2018
    Dataset provided by
    DataCitehttps://www.datacite.org/
    Environmental Data Initiative
    Authors
    Mei Yu; Jess Zimmerman; Andrew McFadden
    Description

    The EVFS Area Boundary shapefile (.kml) and coordinates

  19. C

    Census_Tracts

    • data.cityofchicago.org
    • s.cnmilf.com
    • +1more
    Updated May 23, 2013
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    City of Chicago (2013). Census_Tracts [Dataset]. https://data.cityofchicago.org/w/4hp8-2i8z/3q3f-6823?cur=Qr5Q7FgOWXf
    Explore at:
    kmz, xml, csv, kml, application/geo+json, xlsxAvailable download formats
    Dataset updated
    May 23, 2013
    Dataset authored and provided by
    City of Chicago
    Description

    Census tract boundaries in 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), is required.

  20. United Arab Emirates Shapefile

    • geopostcodes.com
    shp
    Updated May 15, 2025
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    GeoPostcodes (2025). United Arab Emirates Shapefile [Dataset]. https://www.geopostcodes.com/country/uea/shapefile/
    Explore at:
    shpAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    United Arab Emirates
    Description

    Download high-quality, up-to-date United Arab Emirates shapefile boundaries (SHP, projection system SRID 4326). Our United Arab Emirates 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.

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Close
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Nicolas Cadieux (2023). Shapefile to DJI Pilot KML conversion tool [Dataset]. http://doi.org/10.5683/SP3/W1QMQ9

Shapefile to DJI Pilot KML conversion tool

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jan 30, 2023
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

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.

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