100+ datasets found
  1. Geospatial data for the Vegetation Mapping Inventory Project of Great Basin...

    • catalog.data.gov
    • data.amerigeoss.org
    Updated Oct 23, 2025
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    National Park Service (2025). Geospatial data for the Vegetation Mapping Inventory Project of Great Basin National Park [Dataset]. https://catalog.data.gov/dataset/geospatial-data-for-the-vegetation-mapping-inventory-project-of-great-basin-national-park
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    Dataset updated
    Oct 23, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. GRBA’s spatial database and map layer was produced from high-resolution 2007 Digital Map, Inc. imagery provided to CTI by the NPS. By comparing the signatures on the imagery to field and ground data, 64 map units (48 vegetated, four barren geology and snow, and 12 land-use / land-cover) were developed and the vegetation map units were directly cross-walked or matched to their corresponding rUSNVC plant associations. The interpreted and remotely sensed data were converted to Geographic Information System (GIS) spatial geodatabases and maps were printed, field tested, reviewed, and revised.

  2. Digital Geologic-GIS Map of Great Basin National Park and Vicinity, Nevada...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 14, 2025
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    National Park Service (2025). Digital Geologic-GIS Map of Great Basin National Park and Vicinity, Nevada (NPS, GRD, GRI, GRBA, GRBA digital map) adapted from Stanford University and the Stanford Geological Survey unpublished digital data by Miller and the Stanford Geological Survey (2007) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-great-basin-national-park-and-vicinity-nevada-nps-grd-gri-grba
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    Dataset updated
    Nov 14, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    The Digital Geologic-GIS Map of Great Basin National Park and Vicinity, Nevada is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (grba_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (grba_geology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (grba_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (grba_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 (grba_geology_metadata_faq.pdf). Please read the grba_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Stanford University and the Stanford 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 (grba_geology_metadata.txt or grba_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 Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

  3. G

    GIS Resource Compilation Map Package - Applications of Machine Learning...

    • gdr.openei.org
    • data.openei.org
    • +3more
    Updated Jun 1, 2021
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    Stephen Brown; Michael Fehler; Mark Coolbaugh; Sven Treitel; James Faulds; Bridget Ayling; Cary Lindsey; Rachel Micander; Eli Mlawsky; Connor Smith; John Queen; Chen Gu; John Akerley; Jacob DeAngelo; Jonathan Glen; Drew Siler; Erick Burns; Ian Warren; Stephen Brown; Michael Fehler; Mark Coolbaugh; Sven Treitel; James Faulds; Bridget Ayling; Cary Lindsey; Rachel Micander; Eli Mlawsky; Connor Smith; John Queen; Chen Gu; John Akerley; Jacob DeAngelo; Jonathan Glen; Drew Siler; Erick Burns; Ian Warren (2021). GIS Resource Compilation Map Package - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada [Dataset]. http://doi.org/10.15121/1897037
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    Dataset updated
    Jun 1, 2021
    Dataset provided by
    Geothermal Data Repository
    Nevada Bureau of Mines and Geology
    USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
    Authors
    Stephen Brown; Michael Fehler; Mark Coolbaugh; Sven Treitel; James Faulds; Bridget Ayling; Cary Lindsey; Rachel Micander; Eli Mlawsky; Connor Smith; John Queen; Chen Gu; John Akerley; Jacob DeAngelo; Jonathan Glen; Drew Siler; Erick Burns; Ian Warren; Stephen Brown; Michael Fehler; Mark Coolbaugh; Sven Treitel; James Faulds; Bridget Ayling; Cary Lindsey; Rachel Micander; Eli Mlawsky; Connor Smith; John Queen; Chen Gu; John Akerley; Jacob DeAngelo; Jonathan Glen; Drew Siler; Erick Burns; Ian Warren
    License

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

    Area covered
    Great Basin, Nevada
    Description

    This submission contains an ESRI map package (.mpk) with an embedded geodatabase for GIS resources used or derived in the Nevada Machine Learning project, meant to accompany the final report. The package includes layer descriptions, layer grouping, and symbology. Layer groups include: new/revised datasets (paleo-geothermal features, geochemistry, geophysics, heat flow, slip and dilation, potential structures, geothermal power plants, positive and negative test sites), machine learning model input grids, machine learning models (Artificial Neural Network (ANN), Extreme Learning Machine (ELM), Bayesian Neural Network (BNN), Principal Component Analysis (PCA/PCAk), Non-negative Matrix Factorization (NMF/NMFk) - supervised and unsupervised), original NV Play Fairway data and models, and NV cultural/reference data.

    See layer descriptions for additional metadata. Smaller GIS resource packages (by category) can be found in the related datasets section of this submission. A submission linking the full codebase for generating machine learning output models is available through the "Related Datasets" link on this page, and contains results beyond the top picks present in this compilation.

  4. Digital Geologic-GIS Map of Great Sand Dunes National Park, Colorado (NPS,...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Oct 5, 2025
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    National Park Service (2025). Digital Geologic-GIS Map of Great Sand Dunes National Park, Colorado (NPS, GRD, GRI, GRSA, GRSA digital map) adapted from a U.S. Geological Survey Scientific Investigations Map by Madole, VanSistine and Romig (2016) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-great-sand-dunes-national-park-colorado-nps-grd-gri-grsa-grsa-
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    Dataset updated
    Oct 5, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Colorado
    Description

    The Digital Geologic-GIS Map of Great Sand Dunes National Park, Colorado is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (grsa_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (grsa_geology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (grsa_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (grsa_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 (grsa_geology_metadata_faq.pdf). Please read the grsa_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (grsa_geology_metadata.txt or grsa_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 1:35,000 and United States National Map Accuracy Standards features are within (horizontally) 17.8 meters or 58.3 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

  5. a

    Great Lakes

    • hub.arcgis.com
    • data-wi-dnr.opendata.arcgis.com
    Updated Feb 13, 2017
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    Wisconsin Department of Natural Resources (2017). Great Lakes [Dataset]. https://hub.arcgis.com/maps/wi-dnr::great-lakes
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    Dataset updated
    Feb 13, 2017
    Dataset authored and provided by
    Wisconsin Department of Natural Resources
    Area covered
    Description

    This polygon feature class is a representation of the Great Lakes and their shorelines. The dataset is strictly a cartographic layer intended only for small-scale display (nominally 1:250,000); the data is of unknown origin and source scale.

  6. a

    Great Basin Montane Watersheds - Regions (Feature Layer)

    • data-usfs.hub.arcgis.com
    • catalog.data.gov
    • +3more
    Updated Nov 3, 2022
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    U.S. Forest Service (2022). Great Basin Montane Watersheds - Regions (Feature Layer) [Dataset]. https://data-usfs.hub.arcgis.com/datasets/usfs::great-basin-montane-watersheds-regions-feature-layer
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    Dataset updated
    Nov 3, 2022
    Dataset authored and provided by
    U.S. Forest Service
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    Multiple research and management partners collaboratively developed a multiscale approach for assessing the geomorphic sensitivity of streams and ecological resilience of riparian and meadow ecosystems in upland watersheds of the Great Basin to disturbances and management actions. The approach builds on long-term work by the partners on the responses of these systems to disturbances and management actions. At the core of the assessments is information on past and present watershed and stream channel characteristics, geomorphic and hydrologic processes, and riparian and meadow vegetation. In this report, we describe the approach used to delineate Great Basin mountain ranges and the watersheds within them, and the data that are available for the individual watersheds. We also describe the resulting database and the data sources. Furthermore, we summarize information on the characteristics of the regions and watersheds within the regions and the implications of the assessments for geomorphic sensitivity and ecological resilience. The target audience for this multiscale approach is managers and stakeholders interested in assessing and adaptively managing Great Basin stream systems and riparian and meadow ecosystems. Anyone interested in delineating the mountain ranges and watersheds within the Great Basin or quantifying the characteristics of the watersheds will be interested in this report. For more information, visit: https://www.fs.usda.gov/research/treesearch/61573Metadata and Downloads

  7. Vegetation - Great Valley Ecoregion [ds2632]

    • data.cnra.ca.gov
    • data.ca.gov
    • +5more
    Updated Jul 18, 2022
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    California Department of Fish and Wildlife (2022). Vegetation - Great Valley Ecoregion [ds2632] [Dataset]. https://data.cnra.ca.gov/dataset/vegetation-great-valley-ecoregion-ds2632
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    geojson, html, arcgis geoservices rest api, zip, csv, kmlAvailable download formats
    Dataset updated
    Jul 18, 2022
    Dataset authored and provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    License

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

    Description

    Geodatabase feature class containing a map of vegetation within the Great Valley Ecoregion produced by the Geographical Information Center (GIC) at CSU Chico. The dataset combines both new mapping and the previously completed Central Valley Riparian and Sacramento Valley and the Southern San Joaquin Valley vegetation maps. Vegetation polygons were manually digitized as interpreted using the National Agricultural Inventory Program's (NAIP) 2009 (Central Valley Riparian and Sacramento Valley map), 2012 (Southern San Joaquin Valley map) and 2014 (balance of San Joaquin Valley) aerial imagery at a scale of 1:2000. The minimum mapping unit (mmu) for natural vegetation is 1.0 acre, with a minimum average width of 10 meters. The mmu for agricultural and urban polygons is 10 acres. Vegetation is attributed to the Group and Alliance level of the state and national vegetation hierarchy. In some cases, polygons were attributed only to Group or Macrogroup level when the Alliance could not be determined from photointerpretation. The map classification is based on the key to vegetation types in Buck-Diaz et al. 2012. The Central Valley and Sacramento Valley maps were assessed for Accuracy with an average users’ accuracy of 90.2 percent and users’ accuracy of 89 percent. The San Joaquin Valley portion of the map was field verified by the mappers but was not otherwise assessed for accuracy (see Supplemental Information below for details). More information can be found in the project report, which is bundled with the vegetation map published for BIOS here: https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2600_2699/ds2632.zip" STYLE="text-decoration:underline;">https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2600_2699/ds2632.zip.

  8. Imagery Hybrid

    • keep-cool-global-community.hub.arcgis.com
    • cacgeoportal.com
    • +4more
    Updated Mar 29, 2013
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    Esri (2013). Imagery Hybrid [Dataset]. https://keep-cool-global-community.hub.arcgis.com/maps/86265e5a4bbb4187a59719cf134e0018
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    Dataset updated
    Mar 29, 2013
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This web map contains the new Hybrid Reference Layer vector tile layer, which is designed to be used to overlay imagery. The vector tile layer is similar in content and style to the popular Imagery with Labels map, which is delivered as a map service with raster tiles, with additional labels for transportation features.The 'Imagery with Labels' basemap contains the World Imagery map service and the World Boundaries and Places map service, so when you use that basemap you get boundaries and places, but you don't get highways and streets at small scales or street labels at large scale.If you prefer a map that uses raster tiles for both boundary and transportation features, you can use the Imagery with Labels and Transportation map.

  9. World Imagery

    • cacgeoportal.com
    • hurricane-tx-arcgisforem.hub.arcgis.com
    • +4more
    Updated Dec 13, 2009
    + more versions
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    Esri (2009). World Imagery [Dataset]. https://www.cacgeoportal.com/maps/10df2279f9684e4a9f6a7f08febac2a9
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    Dataset updated
    Dec 13, 2009
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    World,
    Description

    World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources:Worldwide 15-m resolution TerraColor imagery at small and medium map scales.Vantor imagery basemap products around the world: Vivid Premium at 15-cm HD resolution for select metropolitan areas, Vivid Advanced 30-cm HD for more than 1,000 metropolitan areas, and Vivid Standard from 1.2-m to 0.6-cm resolution for the most of the world, with 30-cm HD across the United States and parts of Western Europe. More information on the Vantor products is included below. High-resolution aerial photography contributed by the GIS User Community. This imagery ranges from 30-cm to 3-cm resolution. You can contribute your imagery to this map and have it served by Esri via the Community Maps Program. Vantor Basemap ProductsVivid PremiumProvides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.Vivid AdvancedProvides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.Vivid StandardProvides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD. More on Vantor HD. Imagery UpdatesYou can use the Updates Mode in the World Imagery Wayback app to learn more about recent and pending updates. Accessing this information requires a user login with an ArcGIS organizational account. CitationsThis layer includes imagery provider, collection date, resolution, accuracy, and source of the imagery. With the Identify tool in ArcGIS Desktop or the ArcGIS Online Map Viewer you can see imagery citations. Citations returned apply only to the available imagery at that location and scale. You may need to zoom in to view the best available imagery. Citations can also be accessed in the World Imagery with Metadata web map. UseYou can add this layer to the ArcGIS Online Map Viewer, ArcGIS Desktop, or ArcGIS Pro. To view this layer with a useful reference overlay, open the Imagery Hybrid web map. FeedbackHave you ever seen a problem in the Esri World Imagery Map that you wanted to report? You can use the Imagery Map Feedback web map to provide comments on issues. The feedback will be reviewed by the ArcGIS Online team and considered for one of our updates.

  10. a

    AZ NG911 GIS Guideline Best Practices-2020

    • publicsafetycommittee.azgeo.az.gov
    • agic-911-committee-agic.hub.arcgis.com
    Updated Apr 9, 2021
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    AZGeo ArcGIS Online (AGO) (2021). AZ NG911 GIS Guideline Best Practices-2020 [Dataset]. https://publicsafetycommittee.azgeo.az.gov/documents/510b97c232aa4b81b1acd2672a63d817
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    Dataset updated
    Apr 9, 2021
    Dataset authored and provided by
    AZGeo ArcGIS Online (AGO)
    Description

    The NG9-1-1 GIS Guidelines and Best Practices Manual is a cooperative effort between the Arizona 9-1-1 Program, the AGIC 9-1-1 Committee and the Arizona 9-1-1 Program for the 9-1-1 System Administrators and GIS practitioners at different levels such as local government, tribal, County government, metropolitan planning organizations (MPO), whom support any of the 9-1-1 systems.Community. Initial Document created in 2017, Version 2 updated in 2020 based on new NENA standards and GIS platforms in Arizona.

  11. d

    Best Management Practices

    • opendata.dc.gov
    • gimi9.com
    • +3more
    Updated Nov 17, 2015
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    City of Washington, DC (2015). Best Management Practices [Dataset]. https://opendata.dc.gov/datasets/best-management-practices
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    Dataset updated
    Nov 17, 2015
    Dataset authored and provided by
    City of Washington, DC
    License

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

    Area covered
    Description

    Best Management Practices (BMPs) are structural controls used to manage stormwater runoff. Examples include green roofs, rain gardens, and cisterns. BMPs reduce the effects of stormwater pollution and help restore the District’s waterbodies. The District’s stormwater regulations require that large construction or renovation projects install BMPs to manage stormwater runoff once construction is complete. The District also provides financial incentives for properties that install BMPs voluntarily. This dataset includes BMPs that were installed to comply with the District’s stormwater regulations, to participate in the Stormwater Retention Credit (SRC) trading program, to participate in the RiverSmart Homes program, to participate in the Green Roof Rebate program, or to participate in the RiverSmart Rewards stormwater fee discount program. These BMPs have been reviewed by the Department of Energy and Environment (DOEE) as part of these programs. This dataset is updated weekly with data from the District’s Stormwater Database.

  12. Digital Geomorphic-GIS Map of the Great Swash to Quork Hammock Area...

    • s.cnmilf.com
    • catalog.data.gov
    Updated Oct 5, 2025
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    National Park Service (2025). Digital Geomorphic-GIS Map of the Great Swash to Quork Hammock Area (1:10,000 scale 2006 mapping), North Carolina (NPS, GRD, GRI, CAHA, GSQH_geomorphology digital map) adapted from a East Carolina University unpublished digital data map by Ames and Riggs (2006) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/digital-geomorphic-gis-map-of-the-great-swash-to-quork-hammock-area-1-10000-scale-2006-map
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    Dataset updated
    Oct 5, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    The Great Swash, Quork Hammock, North Carolina
    Description

    The Digital Geomorphic-GIS Map of the Great Swash to Quork Hammock Area (1:10,000 scale 2006 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 (gsqh_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 (gsqh_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 (gsqh_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_geology_gis_readme.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 (gsqh_geomorphology_metadata_faq.pdf). Please read the caha_fora_wrbr_geology_gis_readme.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: East Carolina University. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (gsqh_geomorphology_metadata.txt or gsqh_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 1:10,000 and United States National Map Accuracy Standards features are within (horizontally) 8.5 meters or 27.8 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).

  13. Michigan Dept. of Environment, Great Lakes, and Energy (EGLE) ArcGIS Online...

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Jun 8, 2021
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    Michigan Dept. of Environment, Great Lakes, and Energy (2021). Michigan Dept. of Environment, Great Lakes, and Energy (EGLE) ArcGIS Online Home [Dataset]. https://hub.arcgis.com/documents/1300581395a94f40b6ac9f8c54c817bf
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    Dataset updated
    Jun 8, 2021
    Dataset provided by
    Michigan Department of Environment, Great Lakes, and Energyhttp://michigan.gov/egle/
    Authors
    Michigan Dept. of Environment, Great Lakes, and Energy
    Area covered
    Michigan
    Description

    This is the Michigan Department of Environment, Great Lakes, and Energy (EGLE)'s ArcGIS Online home. You can view our top open data and interactive content here. To view more, be sure to visit our EGLE Maps & Open Data Portal to view all of our public content.

  14. ArcGIS Location Tracking Privacy Best Practices

    • coronavirus-resources.esri.com
    • coronavirus-disasterresponse.hub.arcgis.com
    Updated Apr 3, 2020
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    Esri’s Disaster Response Program (2020). ArcGIS Location Tracking Privacy Best Practices [Dataset]. https://coronavirus-resources.esri.com/documents/7ccaf0d0be7149629c305fbf9d369dad
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    Dataset updated
    Apr 3, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri’s Disaster Response Program
    Description

    ArcGIS Location Tracking Privacy Best Practices (Esri Whitepaper).This document contains relevant information that helps guide IT managers, GIS administrators, andprivacy and security team members in deploying cloud and enterprise GIS in a manner that helps complywith privacy regulations, such as GDPR, for location tracking services._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

  15. c

    Great Blue Heron Range - CWHR B051 [ds609] GIS Dataset

    • map.dfg.ca.gov
    Updated Nov 2, 2023
    + more versions
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    (2023). Great Blue Heron Range - CWHR B051 [ds609] GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds0609.html
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    Dataset updated
    Nov 2, 2023
    Description

    CDFW BIOS GIS Dataset, Contact: CWHR California Wildlife Habitat Relationships, Description: Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California.

  16. v

    VT Service - Best of Color Imagery

    • anrgeodata.vermont.gov
    Updated Feb 4, 2014
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    VT Center for Geographic Information (2014). VT Service - Best of Color Imagery [Dataset]. https://anrgeodata.vermont.gov/datasets/881561575869414e965df329915b97ed
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    Dataset updated
    Feb 4, 2014
    Dataset authored and provided by
    VT Center for Geographic Information
    License

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

    Area covered
    Description

    This "Best of" Color image service (web mercator projection) allows you to stream Vermont's best available imagery into your GIS or web mapping application. HOW TO USE: The service is available by plugging in the following REST endpoint into your browser, web mapping application, or GIS software.https://maps.vcgi.vermont.gov/arcgis/rest/services/EGC_services/IMG_VCGI_CLR_WM_CACHE/ImageServer NOTE: Clicking the "Download" button to the right will not actually give you the data OR access to the service. Ignore the "Download" button and use the URL above instead. HELP: Refer to the following video describing how you can use VCGI's services in ArcGIS or QGIS.

  17. U

    Vegetation classification crosswalk database for use in GIS to synchronize...

    • data.usgs.gov
    • catalog.data.gov
    Updated Oct 9, 2015
    + more versions
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    Kevin Hop; Shannon Menard; Ulf Gafvert (2015). Vegetation classification crosswalk database for use in GIS to synchronize vegetation map layers of the NPS Great Lakes Network to the U.S. National Vegetation Classification [Dataset]. http://doi.org/10.5066/F72N50B5
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    Dataset updated
    Oct 9, 2015
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Kevin Hop; Shannon Menard; Ulf Gafvert
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    The Great Lakes, United States
    Description

    The geodatabase contains 13 relate tables that together provide updated and synchronized classifications to an existing vegetation map layer for each of the nine park units in the Great Lakes Network (GLKN) of the National Park Service (NPS) Natural Resource Inventory and Monitoring Program. The classifications include 1) vegetation types at every hierarchical level in the 2015 version of the U.S. National Vegetation Classification (USNVC) and 2) map classes that represent vegetation and land cover in the vegetation map layers. Furthermore, the tables provide a crosswalk between the two classifications (vegetation and map). Each park unit in GLKN has received, at different times over several years, vegetation data products from the NPS Vegetation Mapping Inventory (VMI) Program. However, the vegetation and map classifications were at different stages of development over these years. With this geodatabase product, having a series of already linked relate tables, the original vegeta ...

  18. Essential configurations for highly scalable ArcGIS Online web apps (viral...

    • coronavirus-resources.esri.com
    • coronavirus-disasterresponse.hub.arcgis.com
    Updated Mar 16, 2020
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    Esri’s Disaster Response Program (2020). Essential configurations for highly scalable ArcGIS Online web apps (viral apps) [Dataset]. https://coronavirus-resources.esri.com/documents/df8c6bccdaa14f95aa7778fcc258e59c
    Explore at:
    Dataset updated
    Mar 16, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri’s Disaster Response Program
    Description

    Essential configurations for highly scalable ArcGIS Online web apps (ArcGIS Blog).Learn best practices for configuring web applications that receive a high amount of web traffic, use a quick checklist focus on critical settings._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

  19. c

    Great Gray Owl Range - CWHR B271 [ds898] GIS Dataset

    • map.dfg.ca.gov
    Updated Aug 12, 2016
    + more versions
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    (2016). Great Gray Owl Range - CWHR B271 [ds898] GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds0898.html
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    Dataset updated
    Aug 12, 2016
    Description

    CDFW BIOS GIS Dataset, Contact: Melanie Gogol-Prokurat, Description: Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California.

  20. Pirate Map style for ArcGIS Pro

    • cacgeoportal.com
    Updated Feb 22, 2019
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    Esri Styles (2019). Pirate Map style for ArcGIS Pro [Dataset]. https://www.cacgeoportal.com/content/58e11ce83ae64dcf87b084dd3b9bbcd2
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    Dataset updated
    Feb 22, 2019
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Styles
    Description

    Yarrrrrrrr maps are too crisp and clean! You need a hand-painted grubby tattered treasure map from antiquity to make yer point. Download this here style for ArrrrrrcGIS Pro and be off to makin dern-near realistic maps ready for an eager public (or set designerrrr).To be used in conjunction with these tattered paper assets, available here (seriously, it's a pretty important bit). Or you can use them with an assortment of paper textures, available in Living Atlas here.Also, there's two cool hand-inked looking north arrows in the style. You can see them in the sample maps above.Happy Mapping! John Nelson

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National Park Service (2025). Geospatial data for the Vegetation Mapping Inventory Project of Great Basin National Park [Dataset]. https://catalog.data.gov/dataset/geospatial-data-for-the-vegetation-mapping-inventory-project-of-great-basin-national-park
Organization logo

Geospatial data for the Vegetation Mapping Inventory Project of Great Basin National Park

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Dataset updated
Oct 23, 2025
Dataset provided by
National Park Servicehttp://www.nps.gov/
Description

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. GRBA’s spatial database and map layer was produced from high-resolution 2007 Digital Map, Inc. imagery provided to CTI by the NPS. By comparing the signatures on the imagery to field and ground data, 64 map units (48 vegetated, four barren geology and snow, and 12 land-use / land-cover) were developed and the vegetation map units were directly cross-walked or matched to their corresponding rUSNVC plant associations. The interpreted and remotely sensed data were converted to Geographic Information System (GIS) spatial geodatabases and maps were printed, field tested, reviewed, and revised.

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