100+ datasets found
  1. World Countries Generalized

    • hub.arcgis.com
    • covid19.esriuk.com
    • +2more
    Updated May 5, 2022
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    Esri (2022). World Countries Generalized [Dataset]. https://hub.arcgis.com/datasets/esri::world-countries-generalized/about
    Explore at:
    Dataset updated
    May 5, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    World,
    Description

    World Countries Generalized provides a generalized basemap layer for the countries of the world. It has fields for official names and country codes. The generalized boundaries improve draw performance and effectiveness at global and continental levels.This layer is best viewed out beyond a maximum scale (zoomed in) of 1:5,000,000.The sources of this dataset are Esri, Garmin, and U.S. Central Intelligence Agency (The World Factbook). It is updated every 12-18 months as country names or significant borders change.

  2. C

    DSM2 Georeferenced Model Grid

    • data.cnra.ca.gov
    • data.ca.gov
    • +1more
    Updated Sep 12, 2025
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    California Department of Water Resources (2025). DSM2 Georeferenced Model Grid [Dataset]. https://data.cnra.ca.gov/dataset/dsm2-georeferenced-model-grid
    Explore at:
    pdf(22679496), pdf(25962387), zip(158973), arcgis desktop map package(211110), zip(228604), pdf(22669649), zip(26881), arcgis pro map package(153901), zip(159621), pdf(20463896), arcgis desktop map package(300515), pdf(1443441), zip(140121), zip(149795)Available download formats
    Dataset updated
    Sep 12, 2025
    Dataset authored and provided by
    California Department of Water Resources
    Description

    ArcGIS and QGIS map packages, with ESRI shapefiles for the DSM2 Model Grid. These are not finalized products. Locations in these shapefiles are approximate.

    Monitoring Stations - shapefile with approximate locations of monitoring stations.

    DSM2 Grid 2025-05-28 Historical

    FC_2023.01

    DSM2 v8.2.0, calibrated version:

    • dsm2_8_2_grid_map_calibrated.mpkx - ArcGIS Pro map package containing all layers and symbology for the calibrated grid map.
    • dsm2_8_2_grid_map_calibrated.mpk - ArcGIS Desktop map package containing all layers and symbology for the calibrated grid map.
    • dsm2_8_2_0_calibrated_grid_map_qgis.zip - QGIS map package containing all layers and symbology for the calibrated grid map.
    • dsm2_8_2_0_calibrated_gridmap_shapefiles.zip - A zip file containing all the shapefiles used in the above map packages:
    • dsm2_8_2_0_calibrated_channels_centerlines - channel centerlines, follwing the path of CSDP centerlines
    • dsm2_8_2_0_calibrated_network_channels - channels represented by straight line segments which are connected the upstream and downstream nodes
    • dsm2_8_2_0_calibrated_nodes - DSM2 nodes
    • dsm2_8_2_0_calibrated_dcd_only_nodes - Nodes that are only used by DCD
    • dsm2_8_2_0_calibrated_and_dcd_nodes - Nodes that are shared by DSM2 and DCD
    • dsm2_8_2_0_calibrated_and_smcd_nodes - Nodes that are shared by DSM2 and SMCD
    • dsm2_8_2_0_calibrated_gates_actual_loc - The approximate actual locations of each gate in DSM2
    • dsm2_8_2_0_calibrated_gates_grid_loc - The locations of each gate in the DSM2 model grid
    • dsm2_8_2_0_calibrated_reservoirs - The approximate locations of the reservoirs in DSM2
    • dsm2_8_2_0_calibrated_reservoir_connections - Lines showing connections from reservoirs to nodes in DSM2

    DSM2 v8.2.1, historical version:

    • DSM2 v8.2.1, historical version grid map release notes (PDF), updated 7/12/2022
    • DSM2 v8.2.1, historical version grid map, single zoom level (PDF)
    • DSM2 v8.2.1, historical version grid map, multiple zoom levels (PDF) - PDF grid map designed to be printed on 3 foot wide plotter paper.
    • DSM2 v8.2.1, historical version map package for ArcGIS Desktop: A map package for ArcGIS Desktop containing the grid map layers with symbology.
    • DSM2 v8.2.1, historical version grid map shapefiles (zip): A zip file containing the shapefiles used in the grid map.

    Change Log

    7/12/2022: The document "DSM2 v8.2.1, historical version grid map release notes (PDF)" was corrected by removing section 4.4, which incorrectly stated that the grid included channels 710-714, representing the Toe Drain, and that the Yolo Flyway restoration area was included.

  3. r

    Pakistan ArcGIS Shapefile Map Layers - Dataset - CKAN

    • ckan.rimes.int
    Updated May 6, 2024
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    (2024). Pakistan ArcGIS Shapefile Map Layers - Dataset - CKAN [Dataset]. https://ckan.rimes.int/dataset/pakistan-arcgis-shapefile-map-layers
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    Dataset updated
    May 6, 2024
    Description

    These ArcGIS shapefiles are derived from OpenStreetMap.org. OpenStreetMap is open data, licensed under the Open Data Commons Open Database License (ODbL).

  4. d

    Geospatial Data from the Alpine Treeline Warming Experiment (ATWE) on Niwot...

    • search.dataone.org
    • knb.ecoinformatics.org
    • +1more
    Updated Jul 7, 2021
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    Fabian Zuest; Cristina Castanha; Nicole Lau; Lara M. Kueppers (2021). Geospatial Data from the Alpine Treeline Warming Experiment (ATWE) on Niwot Ridge, Colorado, USA [Dataset]. http://doi.org/10.15485/1804896
    Explore at:
    Dataset updated
    Jul 7, 2021
    Dataset provided by
    ESS-DIVE
    Authors
    Fabian Zuest; Cristina Castanha; Nicole Lau; Lara M. Kueppers
    Time period covered
    Jan 1, 2008 - Jan 1, 2012
    Area covered
    Description

    This is a collection of all GPS- and computer-generated geospatial data specific to the Alpine Treeline Warming Experiment (ATWE), located on Niwot Ridge, Colorado, USA. The experiment ran between 2008 and 2016, and consisted of three sites spread across an elevation gradient. Geospatial data for all three experimental sites and cone/seed collection locations are included in this package. ––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– Geospatial files include cone collection, experimental site, seed trap, and other GPS location/terrain data. File types include ESRI shapefiles, ESRI grid files or Arc/Info binary grids, TIFFs (.tif), and keyhole markup language (.kml) files. Trimble-imported data include plain text files (.txt), Trimble COR (CorelDRAW) files, and Trimble SSF (Standard Storage Format) files. Microsoft Excel (.xlsx) and comma-separated values (.csv) files corresponding to the attribute tables of many files within this package are also included. A complete list of files can be found in this document in the “Data File Organization” section in the included Data User's Guide. Maps are also included in this data package for reference and use. These maps are separated into two categories, 2021 maps and legacy maps, which were made in 2010. Each 2021 map has one copy in portable network graphics (.png) format, and the other in .pdf format. All legacy maps are in .pdf format. .png image files can be opened with any compatible programs, such as Preview (Mac OS) and Photos (Windows). All GIS files were imported into geopackages (.gpkg) using QGIS, and double-checked for compatibility and data/attribute integrity using ESRI ArcGIS Pro. Note that files packaged within geopackages will open in ArcGIS Pro with “main.” preceding each file name, and an extra column named “geom” defining geometry type in the attribute table. The contents of each geospatial file remain intact, unless otherwise stated in “niwot_geospatial_data_list_07012021.pdf/.xlsx”. This list of files can be found as an .xlsx and a .pdf in this archive. As an open-source file format, files within gpkgs (TIFF, shapefiles, ESRI grid or “Arc/Info Binary”) can be read using both QGIS and ArcGIS Pro, and any other geospatial softwares. Text and .csv files can be read using TextEdit/Notepad/any simple text-editing software; .csv’s can also be opened using Microsoft Excel and R. .kml files can be opened using Google Maps or Google Earth, and Trimble files are most compatible with Trimble’s GPS Pathfinder Office software. .xlsx files can be opened using Microsoft Excel. PDFs can be opened using Adobe Acrobat Reader, and any other compatible programs. A selection of original shapefiles within this archive were generated using ArcMap with associated FGDC-standardized metadata (xml file format). We are including these original files because they contain metadata only accessible using ESRI programs at this time, and so that the relationship between shapefiles and xml files is maintained. Individual xml files can be opened (without a GIS-specific program) using TextEdit or Notepad. Since ESRI’s compatibility with FGDC metadata has changed since the generation of these files, many shapefiles will require upgrading to be compatible with ESRI’s latest versions of geospatial software. These details are also noted in the “niwot_geospatial_data_list_07012021” file.

  5. Esri Community Maps AOIs

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Feb 2, 2019
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    Esri (2019). Esri Community Maps AOIs [Dataset]. https://hub.arcgis.com/maps/12431f51f19e4d2582eefcdc76392f87
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    Dataset updated
    Feb 2, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    License

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

    Area covered
    Description

    This layer features special areas of interest (AOIs) that have been contributed to Esri Community Maps using the new Community Maps Editor app. The data that is accepted by Esri will be included in selected Esri basemaps, including our suite of Esri Vector Basemaps, and made available through this layer to export and use offline. Export DataThe contributed data is also available for contributors and other users to export (or extract) and re-use for their own purposes. Users can export the full layer from the ArcGIS Online item details page by clicking the Export Data button and selecting one of the supported formats (e.g. shapefile, or file geodatabase (FGDB)). User can extract selected layers for an area of interest by opening in Map Viewer, clicking the Analysis button, viewing the Manage Data tools, and using the Extract Data tool. To display this data with proper symbology and metadata in ArcGIS Pro, you can download and use this layer file.Data UsageThe data contributed through the Community Maps Editor app is primarily intended for use in the Esri Basemaps. Esri staff will periodically (e.g. weekly) review the contents of the contributed data and either accept or reject the data for use in the basemaps. Accepted features will be added to the Esri basemaps in a subsequent update and will remain in the app for the contributor or others to edit over time. Rejected features will be removed from the app.Esri Community Maps Contributors and other ArcGIS Online users can download accepted features from this layer for their internal use or map publishing, subject to the terms of use below.

  6. Digital Bedrock Geologic-GIS Map of the Saint-Gaudens National Historical...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 25, 2025
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    National Park Service (2025). Digital Bedrock Geologic-GIS Map of the Saint-Gaudens National Historical Park and Vicinity, New Hampshire (NPS, GRD, GRI, SAGA, SAGA_bedrock digital map) adapted from U.S. Geological Survey Scientific Investigations Maps by Walsh, Valley, Thompson, Ratcliffe, Proctor and Sicard (2020), and Walsh (2016) [Dataset]. https://catalog.data.gov/dataset/digital-bedrock-geologic-gis-map-of-the-saint-gaudens-national-historical-park-and-vicinit
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    Dataset updated
    Nov 25, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    The Digital Bedrock Geologic-GIS Map of the Saint-Gaudens National Historical Park and Vicinity, New Hampshire 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 (saga_bedrock_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 (saga_bedrock_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 (saga_bedrock_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 (saga_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (saga_bedrock_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 (saga_bedrock_geology_metadata_faq.pdf). Please read the saga_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 (saga_bedrock_geology_metadata.txt or saga_bedrock_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).

  7. Unpublished Digital Pre-Hurricane Sandy Geomorphological-GIS Map of the...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 11, 2025
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    National Park Service (2025). Unpublished Digital Pre-Hurricane Sandy Geomorphological-GIS Map of the Gateway National Recreation Area: Sandy Hook, Jamaica Bay and Staten Island Units, New Jersey and New York (NPS, GRD, GRI, GATE, GATE digital map) adapted from a Rutgers University Institute of Marine and Coastal Sciences unpublished digital data by Psuty, N.P., McLoughlin, S.M., Schmelz, W. and Spahn, A. (2014) [Dataset]. https://catalog.data.gov/dataset/unpublished-digital-pre-hurricane-sandy-geomorphological-gis-map-of-the-gateway-national-r
    Explore at:
    Dataset updated
    Nov 11, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Jamaica Bay, Sandy Hook, New York, Staten Island
    Description

    **THIS NEWER 2016 DIGITAL MAP REPLACES THE OLDER 2014 VERSION OF THE GRI GATE Geomorphological-GIS data. The Unpublished Digital Pre-Hurricane Sandy Geomorphological-GIS Map of the Gateway National Recreation Area: Sandy Hook, Jamaica Bay and Staten Island Units, New Jersey and New York is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (gate_geomorphology.gdb), a 10.1 ArcMap (.MXD) map document (gate_geomorphology.mxd), individual 10.1 layer (.LYR) files for each GIS data layer, an ancillary map information (.PDF) document (gate_geomorphology.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 (gate_gis_readme.pdf). Please read the gate_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: Rutgers University Institute of Marine and Coastal Sciences. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (gate_metadata_faq.html; available at http://nrdata.nps.gov/geology/gri_data/gis/gate/gate_pre-sandy_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 1:6,000 and United States National Map Accuracy Standards features are within (horizontally) 5.08 meters or 16.67 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 18N, 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 Gateway National Recreation Area.

  8. d

    NOAA ESRI Shapefile - sediment composition class predictions in New York...

    • catalog.data.gov
    • fisheries.noaa.gov
    Updated May 22, 2025
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    (Point of Contact, Custodian) (2025). NOAA ESRI Shapefile - sediment composition class predictions in New York offshore planning area from Biogeography Branch [Dataset]. https://catalog.data.gov/dataset/noaa-esri-shapefile-sediment-composition-class-predictions-in-new-york-offshore-planning-area-f1
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    Dataset updated
    May 22, 2025
    Dataset provided by
    (Point of Contact, Custodian)
    Area covered
    New York
    Description

    This dataset represents sediment composition class predictions from a sediment spatial model developed for the New York offshore spatial planning area. The predictive spatial model of mean grain size was developed building upon the data compilation and analytical framework laid out by Goff et al. (2008) and Poppe et al. (2005).

  9. d

    Zoning GIS Data: Shapefile

    • datasets.ai
    • data.amerigeoss.org
    • +1more
    23, 25, 57, 8
    Updated Nov 10, 2020
    + more versions
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    City of New York (2020). Zoning GIS Data: Shapefile [Dataset]. https://datasets.ai/datasets/zoning-gis-data-shapefile
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    23, 8, 25, 57Available download formats
    Dataset updated
    Nov 10, 2020
    Dataset authored and provided by
    City of New York
    Description

    GIS data: This data set consists of 6 classes of zoning features: zoning districts, special purpose districts, special purpose district subdistricts, limited height districts, commercial overlay districts, and zoning map amendments.

    All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

    Updates for this dataset, along with other multilayered maps on NYC Open Data, are temporarily paused while they are moved to a new mapping format. Please visit https://www.nyc.gov/site/planning/data-maps/open-data/dwn-gis-zoning.page to utilize this data in the meantime

  10. t

    TRCA GIS Open Data (ArcGIS Online)

    • data.trca.ca
    Updated Oct 5, 2022
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    Corporate Services (2022). TRCA GIS Open Data (ArcGIS Online) [Dataset]. https://data.trca.ca/hu/dataset/gis-spatial-data
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    Dataset updated
    Oct 5, 2022
    Dataset provided by
    Corporate Services
    Description

    TRCA GIS Open data on ArcGIS online. This link will take you to an external site URL: https://trca-camaps.opendata.arcgis.com/

  11. World Countries

    • hub.arcgis.com
    • cacgeoportal.com
    • +2more
    Updated May 5, 2022
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    Esri (2022). World Countries [Dataset]. https://hub.arcgis.com/datasets/esri::world-countries
    Explore at:
    Dataset updated
    May 5, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    World,
    Description

    World Countries provides a detailed basemap layer for the countries of the world. This layer has been designed to be used as a basemap and includes fields for official names and country codes, along with fields for continent and display. Particularly useful are the fields LAND_TYPE and LAND_RANK that separate polygons based on their size. These fields are helpful for rendering at different scales by providing the ability to turn off small islands that may clutter small-scale (zoomed out) views. The sources of this dataset are Esri, Garmin, U.S. Central Intelligence Agency (The World Factbook), and International Organization for Standardization (ISO). This layer was published in October 2024. It is updated every 12-18 months or as significant changes occur.

  12. A

    Seattle Parks and Recreation GIS Map Layer Shapefile - View Points

    • data.amerigeoss.org
    csv, json, kml, zip
    Updated Mar 6, 2018
    + more versions
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    United States (2018). Seattle Parks and Recreation GIS Map Layer Shapefile - View Points [Dataset]. https://data.amerigeoss.org/id/dataset/seattle-parks-and-recreation-gis-map-layer-view-points
    Explore at:
    kml, csv, json, zipAvailable download formats
    Dataset updated
    Mar 6, 2018
    Dataset provided by
    United States
    Area covered
    Seattle
    Description

    Seattle Parks and Recreation GIS Map Layer Shapefile - View Points

    Shapefile - This Seattle Parks and Recreation ARCGIS park feature map layer was exported from SPU ARCGIS and converted to a shapefile then manually uploaded to data.seattle.gov via Socrata.

    OR

    Web Services - Live "read only" data connection ESRI web services URL: http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/54

  13. 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.

  14. A

    Seattle Parks and Recreation GIS Map Layer Shapefile - Horseshoe Pit Point

    • data.amerigeoss.org
    csv, json, kml, zip
    Updated Mar 6, 2018
    + more versions
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    United States (2018). Seattle Parks and Recreation GIS Map Layer Shapefile - Horseshoe Pit Point [Dataset]. https://data.amerigeoss.org/es/dataset/seattle-parks-and-recreation-gis-map-layer-horseshoe-pit-point
    Explore at:
    kml, zip, csv, jsonAvailable download formats
    Dataset updated
    Mar 6, 2018
    Dataset provided by
    United States
    Area covered
    Seattle
    Description

    Seattle Parks and Recreation GIS Map Layer Shapefile - Horseshoe Pit Point

    Shapefile - This Seattle Parks and Recreation ARCGIS park feature map layer was exported from SPU ARCGIS and converted to a shapefile then manually uploaded to data.seattle.gov via Socrata.

    OR

    Web Services - Live "read only" data connection ESRI web services URL: http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/24

  15. w

    Seattle Parks and Recreation GIS Map Layer Shapefile - Lacrosse Field

    • data.wu.ac.at
    csv, json, kml, kmz +1
    Updated Mar 6, 2018
    + more versions
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    City of Seattle (2018). Seattle Parks and Recreation GIS Map Layer Shapefile - Lacrosse Field [Dataset]. https://data.wu.ac.at/schema/data_gov/Zjk3ZjE5YWUtZjVlMi00ZjBlLThlNDktMDQyMDg0MGU3ZTJl
    Explore at:
    json, csv, zip, kmz, kmlAvailable download formats
    Dataset updated
    Mar 6, 2018
    Dataset provided by
    City of Seattle
    Area covered
    Seattle
    Description

    Seattle Parks and Recreation GIS Map Layer Shapefile - Lacrosse Field

    Shapefile - This Seattle Parks and Recreation ARCGIS park feature map layer was exported from SPU ARCGIS and converted to a shapefile then manually uploaded to data.seattle.gov via Socrata.

    OR

    Web Services - Live "read only" data connection ESRI web services URL: http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/26

  16. w

    Seattle Parks and Recreation GIS Map Layer Shapefile - BBQ Grills

    • data.wu.ac.at
    csv, json, kml, kmz +1
    Updated Mar 6, 2018
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    City of Seattle (2018). Seattle Parks and Recreation GIS Map Layer Shapefile - BBQ Grills [Dataset]. https://data.wu.ac.at/schema/data_gov/YjMxNjRkNTItYzhlOS00ZWI0LTg2ZDMtOTE4MDVkMmNhNDli
    Explore at:
    csv, kml, zip, json, kmzAvailable download formats
    Dataset updated
    Mar 6, 2018
    Dataset provided by
    City of Seattle
    Area covered
    Seattle
    Description

    Seattle Parks and Recreation GIS Map Layer Shapefile - BBQ Grills

    Shapefile - This Seattle Parks and Recreation ARCGIS park feature map layer was exported from SPU ARCGIS and converted to a shapefile then manually uploaded to data.seattle.gov via Socrata.

    OR

    Web Services - Live "read only" data connection ESRI web services URL: http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/22

  17. w

    Seattle Parks and Recreation GIS Map Layer Shapefile - Basketball Courts...

    • data.wu.ac.at
    csv, json, kml, kmz +1
    Updated Mar 6, 2018
    + more versions
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    City of Seattle (2018). Seattle Parks and Recreation GIS Map Layer Shapefile - Basketball Courts Point [Dataset]. https://data.wu.ac.at/schema/data_gov/NTViMmM0OGMtMWE3MS00NTFjLTg1NmQtYjU5NTZlMDhmNjQ4
    Explore at:
    kmz, kml, zip, csv, jsonAvailable download formats
    Dataset updated
    Mar 6, 2018
    Dataset provided by
    City of Seattle
    Area covered
    Seattle
    Description

    Seattle Parks and Recreation GIS Map Layer Shapefile - Basketball Courts Point

    Shapefile - This Seattle Parks and Recreation ARCGIS park feature map layer was exported from SPU ARCGIS and converted to a shapefile then manually uploaded to data.seattle.gov via Socrata.

    OR

    Web Services - Live "read only" data connection ESRI web services URL: http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/4

  18. A

    Seattle Parks and Recreation GIS Map Layer Shapefile - Tennis Courts Point

    • data.amerigeoss.org
    • data.wu.ac.at
    csv, json, kml, zip
    Updated Jul 26, 2019
    + more versions
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    United States[old] (2019). Seattle Parks and Recreation GIS Map Layer Shapefile - Tennis Courts Point [Dataset]. https://data.amerigeoss.org/ro/dataset/seattle-parks-and-recreation-gis-map-layer-shapefile-tennis-courts-point
    Explore at:
    zip, json, kml, csvAvailable download formats
    Dataset updated
    Jul 26, 2019
    Dataset provided by
    United States[old]
    Area covered
    Seattle
    Description

    Seattle Parks and Recreation GIS Map Layer Shapefile - Tennis Courts Point

    Shapefile - This Seattle Parks and Recreation ARCGIS park feature map layer was exported from SPU ARCGIS and converted to a shapefile then manually uploaded to data.seattle.gov via Socrata.

    OR

    Web Services - Live "read only" data connection ESRI web services URL: http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/46

  19. Digital Geologic-GIS Map of Sagamore Hill National Historic Site and...

    • catalog.data.gov
    Updated Oct 23, 2025
    + more versions
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    National Park Service (2025). Digital Geologic-GIS Map of Sagamore Hill National Historic Site and Vicinity, New York (NPS, GRD, GRI, SAHI, SAHI digital map) adapted from U.S. Geological Survey Water-Supply Paper maps by Isbister (1966) and Lubke (1964) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-sagamore-hill-national-historic-site-and-vicinity-new-york-nps
    Explore at:
    Dataset updated
    Oct 23, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    New York
    Description

    The Digital Geologic-GIS Map of Sagamore Hill National Historic Site and Vicinity, New York 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 (sahi_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 (sahi_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 (sahi_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 GIS readme file (sahi_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (sahi_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 (sahi_geology_metadata_faq.pdf). Please read the sahi_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 (sahi_geology_metadata.txt or sahi_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).

  20. d

    The Austrian glacier inventory GI 1, 1969, in ArcGIS (shapefile) format

    • search.dataone.org
    • doi.pangaea.de
    Updated Jan 19, 2018
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    Patzelt, Gernot; Groß, Günther (2018). The Austrian glacier inventory GI 1, 1969, in ArcGIS (shapefile) format [Dataset]. http://doi.org/10.1594/PANGAEA.844983
    Explore at:
    Dataset updated
    Jan 19, 2018
    Dataset provided by
    PANGAEA Data Publisher for Earth and Environmental Science
    Authors
    Patzelt, Gernot; Groß, Günther
    Area covered
    Description

    No description is available. Visit https://dataone.org/datasets/dbdb0d7f71689ca82e149af115b27bbd for complete metadata about this dataset.

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Esri (2022). World Countries Generalized [Dataset]. https://hub.arcgis.com/datasets/esri::world-countries-generalized/about
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World Countries Generalized

Explore at:
24 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 5, 2022
Dataset authored and provided by
Esrihttp://esri.com/
Area covered
World,
Description

World Countries Generalized provides a generalized basemap layer for the countries of the world. It has fields for official names and country codes. The generalized boundaries improve draw performance and effectiveness at global and continental levels.This layer is best viewed out beyond a maximum scale (zoomed in) of 1:5,000,000.The sources of this dataset are Esri, Garmin, and U.S. Central Intelligence Agency (The World Factbook). It is updated every 12-18 months as country names or significant borders change.

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