89 datasets found
  1. n

    SnowEx20 Grand Mesa Reference GIS Data Sets V001

    • cmr.earthdata.nasa.gov
    • nsidc.org
    • +4more
    not provided
    Updated Jul 15, 2025
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    (2025). SnowEx20 Grand Mesa Reference GIS Data Sets V001 [Dataset]. http://doi.org/10.5067/YDZXY4Q79VIJ
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    not providedAvailable download formats
    Dataset updated
    Jul 15, 2025
    Time period covered
    Sep 21, 2019 - Feb 14, 2020
    Area covered
    Description

    This data set contains geolocation information of the infrastructure locations for the SnowEx20 Intensive Observation Period (IOP) and Time Series (TS) campaigns. Available scientific infrastructure locations in this data set are tower and sensor locations, aircraft flight lines, planned and actual snow pit locations, and time-lapse camera locations. Additionally, this data set contains areal snow depth and tree density classification matrix over the Grand Mesa, CO study area.

  2. d

    Digital Geologic-GIS Map of Mesa Verde National Park and Vicinity, Colorado...

    • datasets.ai
    • s.cnmilf.com
    • +1more
    33, 57
    Updated Sep 19, 2024
    + more versions
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    Department of the Interior (2024). Digital Geologic-GIS Map of Mesa Verde National Park and Vicinity, Colorado (NPS, GRD, GRI, MEVE, MEVE digital map) adapted from National Park Service geologic maps and map report by Griffitts (1999) [Dataset]. https://datasets.ai/datasets/digital-geologic-gis-map-of-mesa-verde-national-park-and-vicinity-colorado-nps-grd-gri-mev
    Explore at:
    57, 33Available download formats
    Dataset updated
    Sep 19, 2024
    Dataset authored and provided by
    Department of the Interior
    Area covered
    Colorado
    Description

    The Digital Geologic-GIS Map of Mesa Verde National Park and Vicinity, Colorado 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 (meve_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 (meve_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 (meve_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (meve_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (meve_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 (meve_geology_metadata_faq.pdf). Please read the meve_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: National Park Service. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (meve_geology_metadata.txt or meve_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).

  3. CIP Projects

    • opengis.mesaaz.gov
    Updated Jul 26, 2017
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    City of Mesa ArcGIS Online (2017). CIP Projects [Dataset]. https://opengis.mesaaz.gov/maps/MesaAZ::cip-projects
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    Dataset updated
    Jul 26, 2017
    Dataset provided by
    https://arcgis.com/
    Authors
    City of Mesa ArcGIS Online
    Area covered
    Description

    The purpose of the dataset is to provide an approximate location of where active Engineering capital improvement projects are occurring for informational and planning purposes.

    OF NOTE: Data is currently being updated on a monthly basis. The areas representing locations in this data are representational only and not exact or to scale.

  4. m

    Historic Properties

    • opengis.mesaaz.gov
    Updated Apr 16, 2015
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    City of Mesa ArcGIS Online (2015). Historic Properties [Dataset]. https://opengis.mesaaz.gov/datasets/historic-properties
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    Dataset updated
    Apr 16, 2015
    Dataset authored and provided by
    City of Mesa ArcGIS Online
    License

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

    Area covered
    Description

    Location of historic properties within the City of Mesa.

  5. a

    Sewer System

    • la-mesa-gis-hub-lamesaca.hub.arcgis.com
    Updated Dec 20, 2024
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    GISTech2_lamesaca (2024). Sewer System [Dataset]. https://la-mesa-gis-hub-lamesaca.hub.arcgis.com/maps/fa3473a07a8f463db124a0a112a18718
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    Dataset updated
    Dec 20, 2024
    Dataset authored and provided by
    GISTech2_lamesaca
    Area covered
    Description

    The Sewer System layer consolidates eight detailed sublayers that collectively represent La Mesa's sewer infrastructure. Each sublayer serves a specific purpose:Manhole Label: Provides location-based identification labels for manholes to enhance mapping and field navigation.Manhole: Highlights access points for sewer maintenance, inspection, and flow monitoring.Pump Station: Displays the locations of pumping facilities essential for maintaining wastewater flow in low-lying areas.Fitting: Depicts pipe fittings used to connect and redirect sewer pipelines.Clean Out: Identifies access points for maintenance and inspection along sewer lines.Force Main: Represents pressurized sewer pipes critical for transporting wastewater over long distances or through challenging terrains.Sewer Pipe: Includes gravity-based pipelines that form the core of the city's wastewater transport system.Sewer Basin: Defines distinct geographical areas served by the sewer network.This unified dataset offers detailed attribute information, such as lifecycle status, installation dates, material types, and spatial references, providing critical insights for planning, maintenance, and public transparency. The pop-ups have been configured to ensure intuitive and efficient data interpretation. This feature layer serves as an essential tool for city planners, engineers, and the public, contributing to the efficient management and understanding of La Mesa's sewer infrastructure.

    • Data Updated: Jun 10, 2025
  6. a

    Annexation History

    • la-mesa-gis-hub-lamesaca.hub.arcgis.com
    Updated Nov 7, 2024
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    GISTech2_lamesaca (2024). Annexation History [Dataset]. https://la-mesa-gis-hub-lamesaca.hub.arcgis.com/items/181b2159161f45f19ea04c9dd2c13d3e
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    Dataset updated
    Nov 7, 2024
    Dataset authored and provided by
    GISTech2_lamesaca
    Area covered
    Description

    The Annexation History layer documents the historical growth of the City of La Mesa through formal annexations. This dataset serves as a valuable resource for city staff, planners, researchers, and the public, offering insight into how La Mesa’s municipal boundaries have evolved over time. It includes key attributes such as annexation names, unique annexation numbers, dates of approval, and year of completion, providing a clear timeline of territorial changes. These details support historical research, urban development analysis, and long-term planning related to land use, infrastructure, and municipal services. Each annexation area is uniquely identified, allowing for accurate record-keeping and seamless integration with other GIS layers. The dataset is updated as historical records are refined or new annexation data becomes available, ensuring accuracy and continued relevance. By making this information publicly accessible on the City’s open data platform, La Mesa promotes transparency, encourages civic engagement, and helps preserve the city’s development history. This layer also provides important context for understanding present-day jurisdictional boundaries and future planning efforts. * Data Refreshed As-Needed

  7. Mesa Verde National Park Tract and Boundary Data

    • catalog.data.gov
    • datasets.ai
    Updated Jun 4, 2024
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    National Park Service (2024). Mesa Verde National Park Tract and Boundary Data [Dataset]. https://catalog.data.gov/dataset/mesa-verde-national-park-tract-and-boundary-data
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    Dataset updated
    Jun 4, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.

  8. a

    Manhole Label

    • la-mesa-gis-hub-lamesaca.hub.arcgis.com
    Updated Dec 20, 2024
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    GISTech2_lamesaca (2024). Manhole Label [Dataset]. https://la-mesa-gis-hub-lamesaca.hub.arcgis.com/datasets/fa3473a07a8f463db124a0a112a18718
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    Dataset updated
    Dec 20, 2024
    Dataset authored and provided by
    GISTech2_lamesaca
    Area covered
    Description

    The Manhole Label layer is specifically curated to enhance the labeling and identification of manholes on maps for sewer infrastructure management. This layer includes key attributes such as Facility ID, Rim Elevation, Lifecycle Status, and Access Diameter to aid in accurate labeling and mapping.By leveraging this dataset, planners and field teams can easily locate, identify, and analyze manhole infrastructure based on unique labels and associated attributes. The inclusion of additional fields such as Street, Comments, and Zone ensures that the labels are not only accurate but also provide relevant context for operational and maintenance activities. This feature layer serves as a foundational tool for creating well-organized and informative sewer system maps.

  9. Addresses

    • opengis.mesaaz.gov
    Updated Jul 5, 2017
    + more versions
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    City of Mesa ArcGIS Online (2017). Addresses [Dataset]. https://opengis.mesaaz.gov/datasets/addresses
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    Dataset updated
    Jul 5, 2017
    Dataset provided by
    https://arcgis.com/
    Authors
    City of Mesa ArcGIS Online
    Area covered
    Description

    This dataset provides information regarding the location of existing site addresses within the City of Mesa. Site addresses are active and usable by property owners, the US Post Office, utility companies, etc. The dataset includes unit or suite addresses. (Historical addresses are not included.)

  10. d

    Digital Geologic-GIS Map of the Wetherill Mesa Quadrangle, Colorado (NPS,...

    • datasets.ai
    • catalog.data.gov
    33, 57
    Updated Oct 7, 2024
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    Department of the Interior (2024). Digital Geologic-GIS Map of the Wetherill Mesa Quadrangle, Colorado (NPS, GRD, GRI, MEVE, WEME digital map) adapted from a National Park Service geologic map by Griffitts (1999) [Dataset]. https://datasets.ai/datasets/digital-geologic-gis-map-of-the-wetherill-mesa-quadrangle-colorado-nps-grd-gri-meve-weme-d
    Explore at:
    33, 57Available download formats
    Dataset updated
    Oct 7, 2024
    Dataset authored and provided by
    Department of the Interior
    Area covered
    Wetherill Mesa, Colorado
    Description

    The Digital Geologic-GIS Map of the Wetherill Mesa Quadrangle, Colorado 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 (weme_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 (weme_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 (weme_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 (meve_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (meve_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 (weme_geology_metadata_faq.pdf). Please read the meve_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: National Park Service. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (weme_geology_metadata.txt or weme_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).

  11. Digital Geologic-GIS Map of the Big Mesa Quadrangle, Colorado (NPS, GRD,...

    • catalog.data.gov
    • data.amerigeoss.org
    Updated Jun 4, 2024
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    National Park Service (2024). Digital Geologic-GIS Map of the Big Mesa Quadrangle, Colorado (NPS, GRD, GRI, CURE, BIME digital map) adapted from a U.S. Geological Survey Geologic Quadrangle Map by Hedlund (1974) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-the-big-mesa-quadrangle-colorado-nps-grd-gri-cure-bime-digital
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    Dataset updated
    Jun 4, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Colorado
    Description

    The Digital Geologic-GIS Map of the Big Mesa Quadrangle, Colorado 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 (bime_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 (bime_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 (bime_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 (blca-cure_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (blca-cure_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 (bime_geology_metadata_faq.pdf). Please read the blca-cure_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: 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 (bime_geology_metadata.txt or bime_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).

  12. a

    Stormwater System

    • la-mesa-gis-hub-lamesaca.hub.arcgis.com
    Updated Feb 21, 2025
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    GISTech2_lamesaca (2025). Stormwater System [Dataset]. https://la-mesa-gis-hub-lamesaca.hub.arcgis.com/maps/362272db537e47ff831c018fb7b5199d
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    Dataset updated
    Feb 21, 2025
    Dataset authored and provided by
    GISTech2_lamesaca
    Area covered
    Description

    The Stormwater System layer provides a comprehensive representation of La Mesa's stormwater infrastructure through six detailed sublayers. Each sublayer captures essential components of the stormwater management system:Clean Out: Identifies maintenance and inspection access points along stormwater lines, including attributes such as structure type, access diameter, installation dates, and water quality features.Outlet: Displays outflow points for stormwater discharge, detailing outlet dimensions, structure types, installation information, and lifecycle status to aid in monitoring discharge locations.Network Structure: Maps key structural elements in the stormwater network, including facility IDs, structure types, installation dates, and dimensional details, supporting system integrity and connectivity analysis.Inlet: Highlights stormwater intake points, featuring inlet dimensions, filter types, water quality attributes, and lifecycle status, essential for managing water flow into the drainage network.Gravity Main: Represents the primary conduits for stormwater conveyance, capturing measurements, slope, ground elevations, material types, and length details, enabling effective flow analysis and maintenance planning.Storm Sub Basin: Defines distinct drainage areas contributing to the stormwater network, with attributes like sub-basin identifiers and completion statuses to support hydrologic modeling and basin management.This consolidated dataset provides detailed attribute information, including lifecycle statuses, installation dates, structural dimensions, and spatial references, ensuring accurate stormwater system analysis and maintenance planning. The pop-ups are strategically configured for efficient data interpretation, making this feature layer an indispensable tool for city planners, engineers, and public works teams. It enhances operational efficiency, flood risk management, and environmental compliance, contributing to sustainable stormwater infrastructure management in La Mesa.

    • Data Updated: Jun 10, 2025
  13. T

    Mesa Census Tracts To City Boundary v2021

    • citydata.mesaaz.gov
    • data.mesaaz.gov
    Updated May 2, 2023
    + more versions
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    (2023). Mesa Census Tracts To City Boundary v2021 [Dataset]. https://citydata.mesaaz.gov/dataset/Mesa-Census-Tracts-To-City-Boundary-v2021/hhfp-fvbv
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    xml, csv, tsv, application/rssxml, application/rdfxml, kmz, kml, application/geo+jsonAvailable download formats
    Dataset updated
    May 2, 2023
    Description

    Census tracts (version 2021) as supplied by the US Census Bureau clipped to Mesa city boundaries as supplied by the city's Geographic Information System (GIS).

    Census tract files are found at https://www2.census.gov/geo/tiger/ and are updated annually.

  14. Imagery data for the Vegetation Mapping Inventory Project of Mesa Verde...

    • catalog.data.gov
    Updated Jun 5, 2024
    + more versions
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    National Park Service (2024). Imagery data for the Vegetation Mapping Inventory Project of Mesa Verde National Park [Dataset]. https://catalog.data.gov/dataset/imagery-data-for-the-vegetation-mapping-inventory-project-of-mesa-verde-national-park
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common files held here. The SCPN acquired new aerial photography of MEVE through the U.S. Department of Agriculture’s Aerial Photography Field Offi ce (APFO). APFO subcontractor Foto Flight Geomatics, of Tucson, Arizona, acquired the imagery on July 10, 2003, and July 2, 2004. Because of dry and excessively windy conditions during 2003, they did not complete the flights until 2004. The imagery was taken in true color, at a scale of 1:12,000, with 20–40% sidelap and 50–60% overlap. The APFO provided two sets of 9 × 9-in contact prints to the SCPN. The FORT and RMGSC mapping team used the images for reference during polygon delineation and labeling. At project completion, one set of contact prints will reside at MEVE and one at the SCPN. Figure 3.1.2.1 shows the fl ight lines and photo centers. The U.S. Bureau of Reclamation’s Remote Sensing and GIS Group assisted the SCPN in obtaining DOQQ images through a contract with Horizons Inc., Rapid City, South Dakota. True-color DOQQs at 1:12,000-scale were acquired on September 15, 2003.

  15. MesaQuarterSection

    • opengis.mesaaz.gov
    Updated Aug 12, 2024
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    City of Mesa ArcGIS Online (2024). MesaQuarterSection [Dataset]. https://opengis.mesaaz.gov/datasets/mesaquartersection-2/about
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    Dataset updated
    Aug 12, 2024
    Dataset provided by
    https://arcgis.com/
    Authors
    City of Mesa ArcGIS Online
    License

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

    Area covered
    Description

    The Mesa Quarter Section feature class is the foundation for all of the other landbase feature classes. It contains info in fields related to the land and utilities.Coordinate: NAD 1983, HARN, State Plane, Arizona, Central FIPS 0202, Feet InternationalProjection: Traverse Mercator

  16. K

    Mesa County, Colorado Parcels

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Nov 29, 2018
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    State of Colorado (2018). Mesa County, Colorado Parcels [Dataset]. https://koordinates.com/layer/98707-mesa-county-colorado-parcels/
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    geodatabase, dwg, shapefile, mapinfo mif, kml, pdf, csv, geopackage / sqlite, mapinfo tabAvailable download formats
    Dataset updated
    Nov 29, 2018
    Dataset authored and provided by
    State of Colorado
    Area covered
    Description

    Geospatial data about Mesa County, Colorado Parcels. Export to CAD, GIS, PDF, CSV and access via API.

  17. m

    Mesa County Precincts Wall Map

    • opendata.mesacounty.us
    • opendata-mesacounty.hub.arcgis.com
    Updated Mar 1, 2022
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    Mesa_County_GIS (2022). Mesa County Precincts Wall Map [Dataset]. https://opendata.mesacounty.us/documents/c91b878714f64bf7b939f54fd0ff0c5e
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    Dataset updated
    Mar 1, 2022
    Dataset authored and provided by
    Mesa_County_GIS
    Area covered
    Mesa County
    Description

    Wall map of Mesa County's 67 voting precincts and boundaries of Colorado State House districts 54 and 55. A 60 x 36" copy can be purchased for $10 by contacting Mesa County Elections.

  18. a

    Specific Plan Area

    • la-mesa-gis-hub-lamesaca.hub.arcgis.com
    Updated Sep 1, 2021
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    GISTech2_lamesaca (2021). Specific Plan Area [Dataset]. https://la-mesa-gis-hub-lamesaca.hub.arcgis.com/items/729a3ef3963d41dc9d77165303cc9c8b
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    Dataset updated
    Sep 1, 2021
    Dataset authored and provided by
    GISTech2_lamesaca
    Area covered
    Description

    The Specific Plan Area layer provides detailed, regularly updated information about designated planning areas across the City of La Mesa. This dataset is an essential resource for city officials, urban planners, developers, and the public, enabling informed decision-making and strategic land use management. It includes critical attributes such as zoning classifications, specific zoning designations, and planning area labels, offering clear insights into the regulations and development guidelines within each designated area. This information supports compliance, urban growth, and the alignment of development with the city’s broader goals for sustainability and community enhancement.In addition to zoning details, the dataset contains spatial measurements, such as calculated area and perimeter lengths, which are crucial for precise mapping and analysis of planning areas. Attributes like zone descriptions and specific planning area labels provide detailed information about permitted land uses, special considerations, and regulatory standards, ensuring stakeholders understand the unique characteristics of each area. Updated as-needed to reflect changes in city planning and development policies, this feature layer ensures access to accurate and current data for planning and public transparency. By making this information publicly accessible through the City of La Mesa’s open data platform, the city fosters civic engagement, promotes accountability, and supports collaborative efforts to guide future development and maintain the character of the community.* Data Refreshed: May 5, 2025

  19. ArcGIS Map Packages and GIS Data for: A Geospatial Method for Estimating...

    • zenodo.org
    • data.niaid.nih.gov
    bin, zip
    Updated Jul 25, 2024
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    Andrew Gillreath-Brown; Andrew Gillreath-Brown; Lisa Nagaoka; Lisa Nagaoka; Steve Wolverton; Steve Wolverton (2024). ArcGIS Map Packages and GIS Data for: A Geospatial Method for Estimating Soil Moisture Variability in Prehistoric Agricultural Landscapes, Gillreath-Brown et al. (2019) [Dataset]. http://doi.org/10.5281/zenodo.2572018
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    bin, zipAvailable download formats
    Dataset updated
    Jul 25, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Andrew Gillreath-Brown; Andrew Gillreath-Brown; Lisa Nagaoka; Lisa Nagaoka; Steve Wolverton; Steve Wolverton
    License

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

    Description

    ArcGIS Map Packages and GIS Data for Gillreath-Brown, Nagaoka, and Wolverton (2019)

    **When using the GIS data included in these map packages, please cite all of the following:

    Gillreath-Brown, Andrew, Lisa Nagaoka, and Steve Wolverton. A Geospatial Method for Estimating Soil Moisture Variability in Prehistoric Agricultural Landscapes, 2019. PLoSONE 14(8):e0220457. http://doi.org/10.1371/journal.pone.0220457

    Gillreath-Brown, Andrew, Lisa Nagaoka, and Steve Wolverton. ArcGIS Map Packages for: A Geospatial Method for Estimating Soil Moisture Variability in Prehistoric Agricultural Landscapes, Gillreath-Brown et al., 2019. Version 1. Zenodo. https://doi.org/10.5281/zenodo.2572018

    OVERVIEW OF CONTENTS

    This repository contains map packages for Gillreath-Brown, Nagaoka, and Wolverton (2019), as well as the raw digital elevation model (DEM) and soils data, of which the analyses was based on. The map packages contain all GIS data associated with the analyses described and presented in the publication. The map packages were created in ArcGIS 10.2.2; however, the packages will work in recent versions of ArcGIS. (Note: I was able to open the packages in ArcGIS 10.6.1, when tested on February 17, 2019). The primary files contained in this repository are:

    • Raw DEM and Soils data
      • Digital Elevation Model Data (Map services and data available from U.S. Geological Survey, National Geospatial Program, and can be downloaded from the National Elevation Dataset)
        • DEM_Individual_Tiles: Individual DEM tiles prior to being merged (1/3 arc second) from USGS National Elevation Dataset.
        • DEMs_Merged: DEMs were combined into one layer. Individual watersheds (i.e., Goodman, Coffey, and Crow Canyon) were clipped from this combined DEM.
      • Soils Data (Map services and data available from Natural Resources Conservation Service Web Soil Survey, U.S. Department of Agriculture)
        • Animas-Dolores_Area_Soils: Small portion of the soil mapunits cover the northeastern corner of the Coffey Watershed (CW).
        • Cortez_Area_Soils: Soils for Montezuma County, encompasses all of Goodman (GW) and Crow Canyon (CCW) watersheds, and a large portion of the Coffey watershed (CW).
    • ArcGIS Map Packages
      • Goodman_Watershed_Full_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the full Goodman Watershed (GW).
      • Goodman_Watershed_Mesa-Only_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the mesa-only Goodman Watershed.
      • Crow_Canyon_Watershed_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the Crow Canyon Watershed (CCW).
      • Coffey_Watershed_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the Coffey Watershed (CW).

    For additional information on contents of the map packages, please see see "Map Packages Descriptions" or open a map package in ArcGIS and go to "properties" or "map document properties."

    LICENSES

    Code: MIT year: 2019
    Copyright holders: Andrew Gillreath-Brown, Lisa Nagaoka, and Steve Wolverton

    CONTACT

    Andrew Gillreath-Brown, PhD Candidate, RPA
    Department of Anthropology, Washington State University
    andrew.brown1234@gmail.com – Email
    andrewgillreathbrown.wordpress.com – Web

  20. w

    OF-13-06 Geologic Map of the Rattlesnake Mesa Quadrangle, Rio Blanco County,...

    • data.wu.ac.at
    csv, json, xml
    Updated Jun 29, 2017
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    Colorado Geologic Survey (2017). OF-13-06 Geologic Map of the Rattlesnake Mesa Quadrangle, Rio Blanco County, Colorado [Dataset]. https://data.wu.ac.at/schema/data_colorado_gov/YWF3OC12bnk2
    Explore at:
    xml, json, csvAvailable download formats
    Dataset updated
    Jun 29, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Colorado, Rattlesnake Mesa
    Description

    The purpose of Colorado Geological Survey’s (CGS) Geologic Map of the Rattlesnake Mesa Quadrangle,Rio Blanco County, Colorado is to describe the geology of this 7.5-minute quadrangle located in the vicinity of the town of Meeker in northwestern Colorado. CGS staff geologist Jonathan L. White and field assistants James Hodge and Michael J. Zawaski completed the field work on this project at the end of the summer of 2010. Jon White, the principal mapper and author, created this report using field maps, photographs, structural measurements, and field notes generated by all the investigators. Significant knowledge was also gained by a compilation of the available published geologic literature listed in the references. This map was improved from reviews by Larry Moyer (consulting petroleum geologist), David Noe (Colorado Geological Survey), as well as pertinent edits of the adjacent Meeker quadrangle by Rex Cole (Colorado Mesa University). This mapping project was funded jointly by the U.S. Geological Survey (USGS) and the CGS. USGS funding comes from the STATEMAP component of the National Cooperative Geologic Mapping Program, award number G10AC00410, authorized by the National Geologic Mapping Act of 1997, reauthorized in 2009. CGS matching funding comes from the Colorado Department of Natural Resources Severance Tax Operational Funds, from severance taxes paid on the production of natural gas, oil, coal, and metals in Colorado. Digital PDF and ESRI ArcGIS download. OF-13-06D

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(2025). SnowEx20 Grand Mesa Reference GIS Data Sets V001 [Dataset]. http://doi.org/10.5067/YDZXY4Q79VIJ

SnowEx20 Grand Mesa Reference GIS Data Sets V001

SNEX20_GIS_REF_1

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not providedAvailable download formats
Dataset updated
Jul 15, 2025
Time period covered
Sep 21, 2019 - Feb 14, 2020
Area covered
Description

This data set contains geolocation information of the infrastructure locations for the SnowEx20 Intensive Observation Period (IOP) and Time Series (TS) campaigns. Available scientific infrastructure locations in this data set are tower and sensor locations, aircraft flight lines, planned and actual snow pit locations, and time-lapse camera locations. Additionally, this data set contains areal snow depth and tree density classification matrix over the Grand Mesa, CO study area.

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