100+ datasets found
  1. World Countries Generalized

    • hub.arcgis.com
    • covid19.esriuk.com
    • +2more
    Updated May 5, 2022
    + more versions
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    Esri (2022). World Countries Generalized [Dataset]. https://hub.arcgis.com/datasets/esri::world-countries-generalized/about
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    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
    + more versions
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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. a

    Parcel Shapefile

    • data-ecgis.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Aug 11, 2018
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    Eaton County Michigan (2018). Parcel Shapefile [Dataset]. https://data-ecgis.opendata.arcgis.com/datasets/494eb27635154a979d88f4bd83783dd1
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    Dataset updated
    Aug 11, 2018
    Dataset authored and provided by
    Eaton County Michigan
    Description

    This shapefile contains tax parcel polygons for Eaton County, Michigan, USA. Because tax parcel information changes daily, this shapefile contains only geometry, the parcel identifier and a URL link to the current information for each parcel. Parcel geometries are not survey-grade and should not be used to make important decisions like where to build a structure or install a fence. In their current form, they are only useful in spatial terms for getting an inexact idea of where a parcel is located. If you need to know exactly where a property line falls, please consult a certified land surveyor. Parcel geometries will be updated either annually or bi-annually. New splits and combinations are typically not visible in the parcel geometry until changes become official via Board of Review in the following April.

  5. 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
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    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.

  6. 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
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    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.

  7. d

    Historical - GIS-Shapefiles of trails in the Cook County Forest Preserves

    • catalog.data.gov
    • datacatalog.cookcountyil.gov
    • +3more
    Updated Jun 29, 2025
    + more versions
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    datacatalog.cookcountyil.gov (2025). Historical - GIS-Shapefiles of trails in the Cook County Forest Preserves [Dataset]. https://catalog.data.gov/dataset/historical-gis-shapefiles-of-trails-in-the-cook-county-forest-preserves
    Explore at:
    Dataset updated
    Jun 29, 2025
    Dataset provided by
    datacatalog.cookcountyil.gov
    Area covered
    Cook County
    Description

    Trails within the Forest Preserve District of Cook County. To view or use these shapefiles, compression software and special GIS software, such as ESRI ArcGIS, is required.

  8. a

    County Shapefile

    • data-ecgis.opendata.arcgis.com
    • hub.arcgis.com
    Updated Aug 9, 2018
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    Eaton County Michigan (2018). County Shapefile [Dataset]. https://data-ecgis.opendata.arcgis.com/datasets/444c7933651845438204be5a6f163547
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    Dataset updated
    Aug 9, 2018
    Dataset authored and provided by
    Eaton County Michigan
    Description

    This Michigan Counties shapefile is a reprojected and slightly altered version of State of Michigan CGI's "Counties (v17a)" dataset.

  9. d

    GIS shapefile: Broward and Miami-Dade Counties, Florida irrigated...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Nov 27, 2025
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    U.S. Geological Survey (2025). GIS shapefile: Broward and Miami-Dade Counties, Florida irrigated agricultural land-use from January 2019 through February 2021 [Dataset]. https://catalog.data.gov/dataset/gis-shapefile-broward-and-miami-dade-counties-florida-irrigated-agricultural-land-use-from
    Explore at:
    Dataset updated
    Nov 27, 2025
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Miami-Dade County, Broward County, Florida
    Description

    This data set consists of a digital map of the extent of fields and a summary of the irrigated acreage for the period between January 2019 and February 2021 compiled for Broward and Miami-Dade Counties, Florida. Attributes for each field include a general or specific crop type, irrigation system, and primary water source for irrigation.

  10. d

    GIS shapefile: St Lucie County, Florida irrigated agricultural land-use GIS...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Nov 21, 2025
    + more versions
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    U.S. Geological Survey (2025). GIS shapefile: St Lucie County, Florida irrigated agricultural land-use GIS shapefile for the 2017 growing season [Dataset]. https://catalog.data.gov/dataset/gis-shapefile-st-lucie-county-florida-irrigated-agricultural-land-use-gis-shapefile-for-th
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    Dataset updated
    Nov 21, 2025
    Dataset provided by
    U.S. Geological Survey
    Area covered
    St. Lucie County, Florida
    Description

    This data set consists of a detailed digital map of individual irrigated fields and a summary of the irrigated acreage for the 2017 growing season developed for St Lucie County, Florida. Selected attribute data that include crop type, irrigation system, and primary water source were collected for each irrigated field.

  11. 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/

  12. d

    Data from: West Flank Coso FORGE Digital Elevation Model and Geology...

    • catalog.data.gov
    • gdr.openei.org
    • +4more
    Updated Jan 20, 2025
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    Sandia National Laboratories (2025). West Flank Coso FORGE Digital Elevation Model and Geology Shapefiles [Dataset]. https://catalog.data.gov/dataset/west-flank-coso-forge-digital-elevation-model-and-geology-shapefiles-33fbb
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    Dataset updated
    Jan 20, 2025
    Dataset provided by
    Sandia National Laboratories
    Description

    Geologic ArcGIS data of West Flank Coso, Ca FORGE site from a unpublished map by Rich Whitmarsh. The zip file includes a DEM, hillshade and four shapefiles of the general outlines of FORGE area.

  13. n

    Dataset Packages GIS data ZIP Download shapefile and ESRI layer file Soil...

    • datasets.seed.nsw.gov.au
    Updated Jun 30, 1998
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    (1998). Dataset Packages GIS data ZIP Download shapefile and ESRI layer file Soil landscape map JPEG Download high quality JPG map Soil landscape data package ZIP Download complete package: GIS data, soil landscape reports and JPG map. Soil landscape reports ZIP Download complete soil landscape report & individual landscape descriptions. [Dataset]. https://datasets.seed.nsw.gov.au/dataset/soil-landscapes-of-the-blackville-1-100000-sheet6cfd7
    Explore at:
    Dataset updated
    Jun 30, 1998
    License

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

    Description

    This map is one of a series of soil landscape maps that are intended for all of eastern and central NSW, based on standard 1:100,000 or 1:250,000 topographic sheets. The map provides an inventory of soil and landscape properties of the Blackville area and identifies major soil and landscape qualities and constraints. It integrates soil and topographic features into single units with relatively uniform land management requirements. Soils are described in terms of soil materials in addition to Australian Soil Classification and Great Soil Group systems. Related Datasets: The dataset area is also covered by the mapping of the Soil and Land Resources of the Liverpool Plains Catchment and Hydrogeological landscapes of NSW. Online Maps: This and related datasets can be viewed using eSPADE (NSW’s soil spatial viewer), which contains a suite of soil and landscape information including soil profile data. Many of these datasets have hot-linked soil reports. An alternative viewer is the SEED Map; an ideal way to see what other natural resources datasets (e.g. vegetation) are available for this map area. Reference: Banks RG, 1998, Soil Landscapes of the Blackville 1:100,000 Sheet map and report, NSW Department of Land and Water Conservation, Sydney.

  14. d

    Parks - Facilities & Features - Shapefiles

    • catalog.data.gov
    • data.cityofchicago.org
    • +2more
    Updated Dec 16, 2023
    + more versions
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    data.cityofchicago.org (2023). Parks - Facilities & Features - Shapefiles [Dataset]. https://catalog.data.gov/dataset/parks-facilities-features-shapefiles
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    Dataset updated
    Dec 16, 2023
    Dataset provided by
    data.cityofchicago.org
    Description

    Facilities and features in Chicago parks. For more information, visit http://www.chicagoparkdistrict.com/facilities/search/. To view or use these shapefiles, compression software and special GIS software, such as ESRI ArcGIS or QGIS, is required. To download this file, right-click the "Download" link above and choose "Save link as."

  15. Brussels_shapefile

    • kaggle.com
    zip
    Updated Nov 8, 2020
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    Daryna Smyrnova (2020). Brussels_shapefile [Dataset]. https://www.kaggle.com/datasets/chemicat/brussels-shapefile
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    zip(52263 bytes)Available download formats
    Dataset updated
    Nov 8, 2020
    Authors
    Daryna Smyrnova
    Area covered
    Brussels
    Description

    Dataset

    This dataset was created by Daryna Smyrnova

    Contents

  16. Digital Geomorphic-GIS Map of the Pea Island (1:24,000 scale 2007 mapping),...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 25, 2025
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    National Park Service (2025). Digital Geomorphic-GIS Map of the Pea Island (1:24,000 scale 2007 mapping), North Carolina (NPS, GRD, GRI, CAHA, PEAI_geomorphology digital map) adapted from a North Carolina Geological Survey digital publication map by Hoffman and Shroyer (2007) [Dataset]. https://catalog.data.gov/dataset/digital-geomorphic-gis-map-of-the-pea-island-1-24000-scale-2007-mapping-north-carolina-nps
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    Dataset updated
    Nov 25, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Pea Island, North Carolina
    Description

    The Digital Geomorphic-GIS Map of the Pea Island (1:24,000 scale 2007 mapping), North Carolina 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 (peai_geomorphology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (peai_geomorphology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (peai_geomorphology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). 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 (caha_fora_wrbr_geomorphology.pdf), 2.) the GRI ancillary map information document (.pdf) file (caha_fora_wrbr_geomorphology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (peai_geomorphology_metadata_faq.pdf). Please read the caha_fora_wrbr_geomorphology.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. 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: North Carolina Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (peai_geomorphology_metadata.txt or peai_geomorphology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in 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).

  17. A

    Seattle Parks and Recreation GIS Map Layer Shapefile - Play Area

    • data.amerigeoss.org
    • data.wu.ac.at
    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 - Play Area [Dataset]. https://data.amerigeoss.org/de/dataset/seattle-parks-and-recreation-gis-map-layer-play-area
    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 - Play Area

    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/33

  18. a

    County Districts Shapefile

    • data-ecgis.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Aug 8, 2018
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    Eaton County Michigan (2018). County Districts Shapefile [Dataset]. https://data-ecgis.opendata.arcgis.com/datasets/d9a1eead5f294908901ba7e43f8d5126
    Explore at:
    Dataset updated
    Aug 8, 2018
    Dataset authored and provided by
    Eaton County Michigan
    Description

    County districts in Eaton County, Michigan, USA.

  19. l

    SMMLCP GIS Data Layers

    • data.lacounty.gov
    • geohub.lacity.org
    • +2more
    Updated Jan 21, 2021
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    County of Los Angeles (2021). SMMLCP GIS Data Layers [Dataset]. https://data.lacounty.gov/datasets/smmlcp-gis-data-layers
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    Dataset updated
    Jan 21, 2021
    Dataset authored and provided by
    County of Los Angeles
    Description

    These are the main layers that were used in the mapping and analysis for the Santa Monica Mountains Local Coastal Plan, which was adopted by the Board of Supervisors on August 26, 2014, and certified by the California Coastal Commission on October 10, 2014. Below are some links to important documents and web mapping applications, as well as a link to the actual GIS data:

    Plan Website – This has links to the actual plan, maps, and a link to our online web mapping application known as SMMLCP-NET. Click here for website. Online Web Mapping Application – This is the online web mapping application that shows all the layers associated with the plan. These are the same layers that are available for download below. Click here for the web mapping application. GIS Layers – This is a link to the GIS layers in the form of an ArcGIS Map Package, click here (LINK TO FOLLOW SOON) for ArcGIS Map Package (version 10.3). Also, included are layers in shapefile format. Those are included below.

    Below is a list of the GIS Layers provided (shapefile format):

    Recreation (Zipped - 5 MB - click here)

    Coastal Zone Campground Trails (2012 National Park Service) Backbone Trail Class III Bike Route – Existing Class III Bike Route – Proposed

    Scenic Resources (Zipped - 3 MB - click here)

    Significant Ridgeline State-Designated Scenic Highway State-Designated Scenic Highway 200-foot buffer Scenic Route Scenic Route 200-foot buffer Scenic Element

    Biological Resources (Zipped - 45 MB - click here)

    National Hydrography Dataset – Streams H2 Habitat (High Scrutiny) H1 Habitat H1 Habitat 100-foot buffer H1 Habitat Quiet Zone H2 Habitat H3 Habitat

    Hazards (Zipped - 8 MB - click here)

    FEMA Flood Zone (100-year flood plain) Liquefaction Zone (Earthquake-Induced Liquefaction Potential) Landslide Area (Earthquake-Induced Landslide Potential) Fire Hazard and Responsibility Area

    Zoning and Land Use (Zipped - 13 MB - click here)

    Malibu LCP – LUP (1986) Malibu LCP – Zoning (1986) Land Use Policy Zoning

    Other Layers (Zipped - 38 MB - click here)

    Coastal Commission Appeal Jurisdiction Community Names Santa Monica Mountains (SMM) Coastal Zone Boundary Pepperdine University Long Range Development Plan (LRDP) Rural Village

    Contact the L.A. County Dept. of Regional Planning's GIS Section if you have questions. Send to our email.

  20. o

    Level III Ecoregions

    • geohub.oregon.gov
    • data.oregon.gov
    • +3more
    Updated Jan 1, 2006
    + more versions
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    State of Oregon (2006). Level III Ecoregions [Dataset]. https://geohub.oregon.gov/datasets/oregon-geo::level-iii-ecoregions
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    Dataset updated
    Jan 1, 2006
    Dataset authored and provided by
    State of Oregon
    Area covered
    Description

    Ecoregions denote areas of general similarity in ecosystems and in the type quality, and quantity of environmental resources. The ecoregions shown here have been derived from the "Level III Ecoregions of the continental United States" GIS coverage created by the US Environmental Protection Agency. The useco polygon was converted to a shapefile in ArcToolbox using the "Feature Class To Shapefile" tool. The shapefile was reprojected from Albers Conical Equal Area to Oregon Lambert. The shapefile was clipped to the boundary of Oregon.

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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

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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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