100+ datasets found
  1. V24 Shields Layer File

    • hub.arcgis.com
    • gis-michigan.opendata.arcgis.com
    Updated Apr 4, 2024
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    Michigan Department of Transportation (2024). V24 Shields Layer File [Dataset]. https://hub.arcgis.com/content/4c5e813cc7784422a6ff0c5e843d48a6
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    Dataset updated
    Apr 4, 2024
    Dataset authored and provided by
    Michigan Department of Transportationhttp://www.michigan.gov/mdot
    Description

    Follow the Esri instructions to Import Symbology From Another Layer: https://pro.arcgis.com/en/pro-app/2.7/help/mapping/layer-properties/import-symbology-from-another-layer.htm1) Download this file.2) Add the Shieldsv24 layer to a map in ArcPro.3) Use the Import Symbology tool in the Esri instructions above.4) Import the V24 Shields Layer File symbology.

  2. L

    ArcGIS Layer file - Land Element

    • lris.scinfo.org.nz
    Updated Jun 17, 2013
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    Landcare Research (2013). ArcGIS Layer file - Land Element [Dataset]. https://lris.scinfo.org.nz/document/9364-arcgis-layer-file-land-element/
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    Dataset updated
    Jun 17, 2013
    Dataset authored and provided by
    Landcare Research
    Description

    ArcGIS layer file for symbolizing Land Element gridded layer. User may need to reconnect symbolization to "value" attribute of grid.

  3. a

    School Districts Layer File

    • opendata.atlantaregional.com
    Updated Jun 9, 2015
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    City of Marietta, GA (2015). School Districts Layer File [Dataset]. https://opendata.atlantaregional.com/content/00fdecb2fb7f468590ef2f60d34c19f2
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    Dataset updated
    Jun 9, 2015
    Dataset authored and provided by
    City of Marietta, GA
    Area covered
    Description

    Point this layer file to any downloaded Parcels to view Marietta's elementary school boundaries.

  4. n

    #2023 GeoOps Folder Structure (Folders, GDBs, and layer files) - Dataset -...

    • nationaldataplatform.org
    Updated Feb 28, 2024
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    (2024). #2023 GeoOps Folder Structure (Folders, GDBs, and layer files) - Dataset - CKAN [Dataset]. https://nationaldataplatform.org/catalog/dataset/2023-geoops-folder-structure-folders-gdbs-and-layer-files
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    Dataset updated
    Feb 28, 2024
    Description

    2023 Updates to the National Incident Feature Service and Event Geodatabase For 2023, there are no schema updates and no major changes to GeoOps or the GISS Workflow! This is a conscious choice and is intended to provide a needed break for both users and administrators. Over the last 5 years, nearly every aspect of the GISS position has seen a major overhaul and while the advancements have been overwhelmingly positive, many of us are experiencing change fatigue. This is not to say there is no room for improvement. Many great suggestions were received throughout the season and in the GISS Survey, and they will be considered for inclusion in 2024. That there are no critical updates necessary also indicates that we have reached a level of maturity with the current state, and that is good news for everyone. Please continue to submit your ideas; they are appreciated and valuable insight, even if the change is not implemented. For information on 2023 AGOL updates please see the Create and Share Web Maps | NWCG page. There are three smaller changes worth noting this year: Standard Symbology is now the default on the NIFS For most workflows, the update will be seamless. All the Event Standard symbols are now supported in Field Maps and Map Viewer. Most users will now see the same symbols in all print and digital products. However, in AGOL some web apps do not support the complex line symbols. The simplified lines will still be present in the official Editing Apps (Operations, SITL, and GISS), and any custom apps built with the Web App Builder (WAB) interface. Experience Builder can be used for any new app creation. If you must use WAB or another app that cannot display the complex line symbology in the NIFS, please contact wildfireresponse@firenet.gov for guidance. Event Line now has Preconfigured Labels Labels on Event Line have historically been uncommon, but to speed their implementation when necessary, color-coded labels classes have been added to the NIFS and the lyrx files provided in the GIS Folder Structure. They can be disabled or modified as needed, should they interfere with any of your workflows. “Restricted” Folder added to GeoOps Folder Structure At the base level within the 2023_Template, a ‘restricted’ folder is now included. This folder should be used for all data and products that contain sensitive, restricted, or controlled-unclassified information. This will aid the DOCL and any future FOIA liaisons in protecting this information. When using OneDrive, this folder can optionally be password protected. Reminder: Sensitive Data is not allowed to be hosted within the NIFC Org.

  5. L

    FSL Plant Readily Available Water - ArcGIS layer file

    • lris.scinfo.org.nz
    Updated May 28, 2010
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    Landcare Research (2010). FSL Plant Readily Available Water - ArcGIS layer file [Dataset]. https://lris.scinfo.org.nz/document/9234-fsl-plant-readily-available-water-arcgis-layer-file/
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    Dataset updated
    May 28, 2010
    Dataset authored and provided by
    Landcare Research
    Description

    Geospatial data about FSL Plant Readily Available Water - ArcGIS layer file. Export to CAD, GIS, PDF, CSV and access via API.

  6. f

    Symbology layer files developed in ArcMap and ArcGIS Pro for the purpose of...

    • uvaauas.figshare.com
    txt
    Updated May 31, 2023
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    Matheus G.G. De Jong; Henk Pieter Sterk; Stacy Shinneman; A.C. Seijmonsbergen (2023). Symbology layer files developed in ArcMap and ArcGIS Pro for the purpose of visualizing geomorphological codes using predefined color palettes [Dataset]. http://doi.org/10.21942/uva.13704643
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    txtAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    University of Amsterdam / Amsterdam University of Applied Sciences
    Authors
    Matheus G.G. De Jong; Henk Pieter Sterk; Stacy Shinneman; A.C. Seijmonsbergen
    License

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

    Description

    For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.Supplemental material for: Hierarchical geomorphological mapping in mountainous areas, Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps in 2020, revisions made in 2021.These layer files will produce the complete geomorphological legend, even when all geomorphological units are not present in the dataset. When visualizing results, we recommend the following optimal scale ranges: 1:2,500 - 1:10,000 for Tier 3, 1:10,001 to 1:30,000 for Tier 2 and ≥ 1:30,001 for Tier 1.The complete set of layer files ("Geomorphological Map Vorarlberg - Tier 1", "Geomorphological Map Vorarlberg - Tier 2" and "Geomorphological Map Vorarlberg - Tier 3") are intended to visualize output of a model that creates tiers (columns) of geomorphological features (Tier 1, Tier 2 and Tier 3) in the landscape of Vorarlberg, Austria, each with an increasing level of detail.

  7. a

    Future Land Use Layer File

    • data-cityofmarietta.opendata.arcgis.com
    • opendata.atlantaregional.com
    Updated Jun 9, 2015
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    City of Marietta, GA (2015). Future Land Use Layer File [Dataset]. https://data-cityofmarietta.opendata.arcgis.com/content/bd3e61984f734f2b8d31e166fa9469f8
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    Dataset updated
    Jun 9, 2015
    Dataset authored and provided by
    City of Marietta, GA
    Area covered
    Description

    Point this layer file to any downloaded Parcels to view Marietta's future land use codes & descriptions

  8. Digital Geologic-GIS Map of Santa Rosa Island, California (NPS, GRD, GRI,...

    • catalog.data.gov
    Updated Jun 4, 2024
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    National Park Service (2024). Digital Geologic-GIS Map of Santa Rosa Island, California (NPS, GRD, GRI, CHIS, SRIS digital map) adapted from a American Association of Petroleum Geologists Field Trip Guidebook map by Sonneman, as modified and extend by Weaver, Doerner, Avila and others (1969) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-santa-rosa-island-california-nps-grd-gri-chis-sris-digital-map
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    Dataset updated
    Jun 4, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Santa Rosa Island, California
    Description

    The Digital Geologic-GIS Map of Santa Rosa Island, California 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 (sris_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 (sris_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 (sris_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 (chis_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (chis_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 (sris_geology_metadata_faq.pdf). Please read the chis_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: American Association of Petroleum Geologists. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (sris_geology_metadata.txt or sris_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).

  9. V25 Shields Layer File

    • gis-michigan.opendata.arcgis.com
    • gis-mdot.opendata.arcgis.com
    • +1more
    Updated Apr 10, 2025
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    Michigan Department of Transportation (2025). V25 Shields Layer File [Dataset]. https://gis-michigan.opendata.arcgis.com/content/faafa8938be14db1965f4f09f64f6141
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    Dataset updated
    Apr 10, 2025
    Dataset authored and provided by
    Michigan Department of Transportationhttp://www.michigan.gov/mdot
    Description

    Download the V25 Shields layer file and geodatabaseAdd the V25 Shields layer file to a map in ArcGIS ProIf the layer file appears with a red exclamation mark, the file needs to be sourced to the geodatabase where the layer file was savedClick on the exclamation mark which should pull up the Properties/Source menuClick the "Set Data Source" option in the top-right cornerLocate the storage location where the layer file was saved, open the geodatabase and the select the feature class datasetClick ApplyFor detailed instructions, please visit this ESRI help document

  10. d

    Washington State Surface Geology Map 24K

    • datadiscoverystudio.org
    zip
    Updated Dec 31, 2013
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    Washington Division of Geology and Earth Resources (2013). Washington State Surface Geology Map 24K [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/8d523ecd9b754755adc1cc3df53c73f3/html
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    zipAvailable download formats
    Dataset updated
    Dec 31, 2013
    Authors
    Washington Division of Geology and Earth Resources
    Area covered
    Description

    The Washington State Surface Geology Map scale at a scale of 1:24,000 geodatabase was made accessible through the Washington State Department of Natural Resources, Division of Geology and Earth Resources. The data are provided in ESRI ArcGIS 10.0 file geodatabase format (see Read Me file). The projection is in Lambert Conformal Conic, NAD83 HARN datum. Data available for download include:- One ESRI ArcGIS 10.0 geodatabase, consisting of a set of 11 feature classes, 7 relationship classes, and one geodatabase table.- Metadata for each feature class, in both XML and HTML formats (for ease of reading outside of GIS software)- One shapefile depicting the outline of Washington State.- One ArcGIS map document (ending in the .mxd extension), containing specifications for data presentation in ArcMap- One ArcGIS layer file for each feature class (ending in the .lyr extension), containing specifications for data presentation in an ArcGIS viewing application- One Geologic Map Codes document (PDF) defining the symbology used in the map.- The README file These digital data and metadata are provided as is, as available, and with all faults basis. Neither Department of Natural Resources nor any of its officials and employees makes any warranty of any kind for this information, express or implied, including but not limited to any warranties of merchantability or fitness for a particular purpose, nor shall the distribution of this information constitute any warranty. This resource was provided by the Washington State Department of Natural Resources, Division of Geology and Earth Resources and made available for distribution through the National Geothermal Data System.

  11. L

    NZ Soil Classification ArcGIS layer file

    • lris.scinfo.org.nz
    Updated May 26, 2010
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    Landcare Research (2010). NZ Soil Classification ArcGIS layer file [Dataset]. https://lris.scinfo.org.nz/document/9240-nz-soil-classification-arcgis-layer-file/
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    Dataset updated
    May 26, 2010
    Dataset authored and provided by
    Landcare Research
    Description

    Geospatial data about NZ Soil Classification ArcGIS layer file. Export to CAD, GIS, PDF, CSV and access via API.

  12. Z

    Symbology layer files: Hierarchical geomorphological mapping in mountainous...

    • data.niaid.nih.gov
    Updated Apr 24, 2021
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    Arie C. Seijmonsbergen (2021). Symbology layer files: Hierarchical geomorphological mapping in mountainous areas [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_4714701
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    Dataset updated
    Apr 24, 2021
    Dataset provided by
    Henk Pieter Sterk
    Arie C. Seijmonsbergen
    Stacy Shinneman
    Matheus G.G. De Jong
    License

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

    Description

    Symbology layer files developed in ArcMap and ArcGIS Pro for the purpose of visualizing geomorphological codes using predefined color palettes.

    Supplemental material for: Hierarchical geomorphological mapping in mountainous areas, Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps in 2020, revisions made in 2021.These layer files will produce the complete geomorphological legend, even when all geomorphological units are not present in the dataset. When visualizing results, we recommend the following optimal scale ranges: 1:2,500 - 1:10,000 for Tier 3, 1:10,001 to 1:30,000 for Tier 2 and ≥ 1:30,001 for Tier 1.The complete set of layer files ("Geomorphological Map Vorarlberg - Tier 1", "Geomorphological Map Vorarlberg - Tier 2" and "Geomorphological Map Vorarlberg - Tier 3") are intended to visualize output of a model that creates tiers (columns) of geomorphological features (Tier 1, Tier 2 and Tier 3) in the landscape of Vorarlberg, Austria, each with an increasing level of detail.

  13. d

    Digital Geologic-GIS Map of the Rhoda Quadrangle, Kentucky (NPS, GRD, GRI,...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jun 4, 2024
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    National Park Service (2024). Digital Geologic-GIS Map of the Rhoda Quadrangle, Kentucky (NPS, GRD, GRI, MACA, RHOD digital map) adapted from a U.S. Geological Survey Geologic Quadrangle Map by Klemic (1963) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-the-rhoda-quadrangle-kentucky-nps-grd-gri-maca-rhod-digital-ma
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    Dataset updated
    Jun 4, 2024
    Dataset provided by
    National Park Service
    Area covered
    Kentucky
    Description

    The Digital Geologic-GIS Map of the Rhoda Quadrangle, Kentucky 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 (rhod_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (rhod_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 (rhod_geology.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 readme file (maca_abli_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (maca_abli_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 (rhod_geology_metadata_faq.pdf). Please read the maca_abli_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: 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 (rhod_geology_metadata.txt or rhod_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 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).

  14. p

    Open Street Map Medical Facilities for Pacific Region

    • pacificgeoportal.com
    • digital-earth-pacificcore.hub.arcgis.com
    • +1more
    Updated Oct 16, 2023
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    Pacific GeoPortal - Core Organization (2023). Open Street Map Medical Facilities for Pacific Region [Dataset]. https://www.pacificgeoportal.com/maps/7c3dbd2121a84667bfb3477e53628084
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    Dataset updated
    Oct 16, 2023
    Dataset authored and provided by
    Pacific GeoPortal - Core Organization
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description

    This web map is a subset of OpenStreetMap (OSM) point data of medical facilities for Australia and Oceania for the Pacific Region, which is updated every 15 minutes with the latest edits. You can access the Source Feature Service from here. This hosted feature layer view is referencing a hosted feature layer of OSM point (node) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes amenity features defined as a query against the hosted feature layer where the amenity value is any of 'hospital', 'clinic', 'doctors', or 'pharmacy'.In OSM, amenities are useful and important facilities for visitors and residents, such as hospitals and clinics. These features are identified with an amenity tag. There are thousands of different tag values used in the OSM database. In this feature layer, unique symbols are used for the most common amenity tags used for medical facilities.Zoom in to large scales (e.g. Neighborhood level or 1:20k scale) to see the amenity features display. You can click on a feature to get the name of the amenity. The name of the amenity will display by default at very large scales (e.g. Building level of 1:2k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this medical facilities layer displaying just one or two amenity types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. amenity is hospital), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri will publish a few such layers (e.g. Places of Worship, Schools, and Parking) that are ready to use, but not for every type of amenity.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

  15. B

    Residential Schools Locations Dataset (Geodatabase)

    • borealisdata.ca
    • search.dataone.org
    Updated May 31, 2019
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    Rosa Orlandini (2019). Residential Schools Locations Dataset (Geodatabase) [Dataset]. http://doi.org/10.5683/SP2/JFQ1SZ
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 31, 2019
    Dataset provided by
    Borealis
    Authors
    Rosa Orlandini
    License

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

    Time period covered
    Jan 1, 1863 - Jun 30, 1998
    Area covered
    Canada
    Description

    The Residential Schools Locations Dataset in Geodatabase format (IRS_Locations.gbd) contains a feature layer "IRS_Locations" that contains the locations (latitude and longitude) of Residential Schools and student hostels operated by the federal government in Canada. All the residential schools and hostels that are listed in the Residential Schools Settlement Agreement are included in this dataset, as well as several Industrial schools and residential schools that were not part of the IRRSA. This version of the dataset doesn’t include the five schools under the Newfoundland and Labrador Residential Schools Settlement Agreement. The original school location data was created by the Truth and Reconciliation Commission, and was provided to the researcher (Rosa Orlandini) by the National Centre for Truth and Reconciliation in April 2017. The dataset was created by Rosa Orlandini, and builds upon and enhances the previous work of the Truth and Reconcilation Commission, Morgan Hite (creator of the Atlas of Indian Residential Schools in Canada that was produced for the Tk'emlups First Nation and Justice for Day Scholar's Initiative, and Stephanie Pyne (project lead for the Residential Schools Interactive Map). Each individual school location in this dataset is attributed either to RSIM, Morgan Hite, NCTR or Rosa Orlandini. Many schools/hostels had several locations throughout the history of the institution. If the school/hostel moved from its’ original location to another property, then the school is considered to have two unique locations in this dataset,the original location and the new location. For example, Lejac Indian Residential School had two locations while it was operating, Stuart Lake and Fraser Lake. If a new school building was constructed on the same property as the original school building, it isn't considered to be a new location, as is the case of Girouard Indian Residential School.When the precise location is known, the coordinates of the main building are provided, and when the precise location of the building isn’t known, an approximate location is provided. For each residential school institution location, the following information is provided: official names, alternative name, dates of operation, religious affiliation, latitude and longitude coordinates, community location, Indigenous community name, contributor (of the location coordinates), school/institution photo (when available), location point precision, type of school (hostel or residential school) and list of references used to determine the location of the main buildings or sites. Access Instructions: there are 47 files in this data package. Please download the entire data package by selecting all the 47 files and click on download. Two files will be downloaded, IRS_Locations.gbd.zip and IRS_LocFields.csv. Uncompress the IRS_Locations.gbd.zip. Use QGIS, ArcGIS Pro, and ArcMap to open the feature layer IRS_Locations that is contained within the IRS_Locations.gbd data package. The feature layer is in WGS 1984 coordinate system. There is also detailed file level metadata included in this feature layer file. The IRS_locations.csv provides the full description of the fields and codes used in this dataset.

  16. w

    Granite Springs Valley, Nevada - Well data and Temperature Survey ArcGIS...

    • data.wu.ac.at
    Updated Jul 13, 2018
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    HarvestMaster (2018). Granite Springs Valley, Nevada - Well data and Temperature Survey ArcGIS Layer.zip [Dataset]. https://data.wu.ac.at/schema/geothermaldata_org/ODViYmJiNmUtZGM3Mi00ZDkxLWE4YmMtYmNlMzlmNTM2ZDFk
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    Dataset updated
    Jul 13, 2018
    Dataset provided by
    HarvestMaster
    Area covered
    Granite Springs Valley, 46ca604126a6273e0d791b81c90122071ca2a7d3
    Description

    This data is associated with the Nevada Play Fairway project and includes excel files containing raw 2-meter temperature data and corrections. GIS shapefiles and layer files contain ing location and attribute information for the data are included. Well data includes both deep and shallow TG holes, GIS shapefiles and layer files. ArcGIS layer file with location and attribute information

  17. L

    ArcGIS layer file for Soil temperature

    • lris.scinfo.org.nz
    Updated Jun 17, 2013
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    Landcare Research (2013). ArcGIS layer file for Soil temperature [Dataset]. https://lris.scinfo.org.nz/document/9365-arcgis-layer-file-for-soil-temperature/
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    Dataset updated
    Jun 17, 2013
    Dataset authored and provided by
    Landcare Research
    Description

    ArcGIS layer file for symbolizing of soil temperature GRIDs. User may need to reconnect to "value" attribute in GRID to get correct display.

  18. Digital Geologic-GIS Map of San Miguel Island, California (NPS, GRD, GRI,...

    • catalog.data.gov
    Updated Jun 4, 2024
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    National Park Service (2024). Digital Geologic-GIS Map of San Miguel Island, California (NPS, GRD, GRI, CHIS, SMIS digital map) adapted from a American Association of Petroleum Geologists Field Trip Guidebook map by Weaver and Doerner (1969) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-san-miguel-island-california-nps-grd-gri-chis-smis-digital-map
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    Dataset updated
    Jun 4, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    San Miguel Island, California
    Description

    The Digital Geologic-GIS Map of San Miguel Island, California 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 (smis_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 (smis_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 (smis_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 (chis_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (chis_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 (smis_geology_metadata_faq.pdf). Please read the chis_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: American Association of Petroleum Geologists. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (smis_geology_metadata.txt or smis_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).

  19. Digital Geomorphic-GIS Map of Perdido Key and Santa Rosa Island (1-foot...

    • catalog.data.gov
    Updated Jun 5, 2024
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    National Park Service (2024). Digital Geomorphic-GIS Map of Perdido Key and Santa Rosa Island (1-foot resolution 2006-2007 mapping), Florida (NPS, GRD, GRI, GUIS, PKSR_geomorphology digital map) adapted from a U.S. Geological Survey Open File Report map by Morton and Montgomery (2010) [Dataset]. https://catalog.data.gov/dataset/digital-geomorphic-gis-map-of-perdido-key-and-santa-rosa-island-1-foot-resolution-2006-200
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Perdido Key, Santa Rosa Island, Florida
    Description

    The Digital Geomorphic-GIS Map of Perdido Key and Santa Rosa Island (1-foot resolution 2006-2007 mapping), Florida 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 (pksr_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 (pksr_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 (pksr_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 (guis_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (guis_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 (pksr_geomorphology_metadata_faq.pdf). Please read the guis_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: 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 (pksr_geomorphology_metadata.txt or pksr_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 1:20,000 and United States National Map Accuracy Standards features are within (horizontally) 10.2 meters or 33.3 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 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. a

    Data from: Hardscape

    • mapdirect-fdep.opendata.arcgis.com
    Updated Feb 1, 2019
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    Esri (2019). Hardscape [Dataset]. https://mapdirect-fdep.opendata.arcgis.com/maps/esri::hardscape
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    Dataset updated
    Feb 1, 2019
    Dataset authored and provided by
    Esri
    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.

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Michigan Department of Transportation (2024). V24 Shields Layer File [Dataset]. https://hub.arcgis.com/content/4c5e813cc7784422a6ff0c5e843d48a6
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V24 Shields Layer File

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Dataset updated
Apr 4, 2024
Dataset authored and provided by
Michigan Department of Transportationhttp://www.michigan.gov/mdot
Description

Follow the Esri instructions to Import Symbology From Another Layer: https://pro.arcgis.com/en/pro-app/2.7/help/mapping/layer-properties/import-symbology-from-another-layer.htm1) Download this file.2) Add the Shieldsv24 layer to a map in ArcPro.3) Use the Import Symbology tool in the Esri instructions above.4) Import the V24 Shields Layer File symbology.

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