100+ datasets found
  1. d

    Digital Geologic-GIS Map of the Mammoth Cave Quadrangle, Kentucky (NPS, GRD,...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jun 4, 2024
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    National Park Service (2024). Digital Geologic-GIS Map of the Mammoth Cave Quadrangle, Kentucky (NPS, GRD, GRI, MACA, MACV digital map) adapted from a U.S. Geological Survey Geologic Quadrangle Map by Haynes (1964) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-the-mammoth-cave-quadrangle-kentucky-nps-grd-gri-maca-macv-dig
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    Dataset updated
    Jun 4, 2024
    Dataset provided by
    National Park Service
    Area covered
    Mammoth Cave, Kentucky
    Description

    The Digital Geologic-GIS Map of the Mammoth Cave 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 (macv_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 (macv_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 (macv_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 (macv_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 (macv_geology_metadata.txt or macv_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).

  2. n

    State and Local Government GIS Metadata Profile

    • nconemap.gov
    • hub.arcgis.com
    Updated Feb 14, 2025
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    NC OneMap / State of North Carolina (2025). State and Local Government GIS Metadata Profile [Dataset]. https://www.nconemap.gov/documents/c3a53e14d5704a13b61c6589b1a7569a
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    Dataset updated
    Feb 14, 2025
    Dataset authored and provided by
    NC OneMap / State of North Carolina
    License

    https://www.nconemap.gov/pages/termshttps://www.nconemap.gov/pages/terms

    Description

    The North Carolina state and local government metadata profile as adopted by the NC Geographic Information Coordinating Council. The document and other information can be found at: https://it.nc.gov/documents/files/gicc-smac-state-local-gov-metadata-profile.

  3. a

    Updated GIS Brand and Metadata Standards

    • city-of-vancouver-wa-geo-hub-cityofvancouver.hub.arcgis.com
    Updated Feb 28, 2024
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    Vancouver Online Maps (2024). Updated GIS Brand and Metadata Standards [Dataset]. https://city-of-vancouver-wa-geo-hub-cityofvancouver.hub.arcgis.com/content/5dfe17cff7cc4e3e88cff47fe61d725f
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    Dataset updated
    Feb 28, 2024
    Dataset authored and provided by
    Vancouver Online Maps
    Description

    This project contains:One map containing the City of Vancouver City Limits layer for use in populating sample templates600x400 pixel formatted templates for generating thumbnails for Applications, Web Maps/Maps/Packages, Layers, and items to be deprecatedTemplates for print layouts at 8.5x11", landscape and portrait sizesStyle file containing correct fonts and colors in alignment with City of Vancouver brandingExample text should be replaced as necessary, and it is recommended you save any applicable changes as a copy of this package for your use.

  4. Data from: Enriching the metadata of map images: a deep learning approach...

    • figshare.com
    zip
    Updated Aug 9, 2021
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    Yingjie Hu (2021). Enriching the metadata of map images: a deep learning approach with GIS-based data augmentation [Dataset]. http://doi.org/10.6084/m9.figshare.14308874.v1
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    zipAvailable download formats
    Dataset updated
    Aug 9, 2021
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Yingjie Hu
    License

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

    Description

    Code and data for the paper "Enriching the metadata of map images: a deep learning approach with GIS-based data augmentation"

  5. d

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

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

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

  6. d

    Metadata Form Template

    • catalog.data.gov
    • open.tempe.gov
    • +9more
    Updated Mar 18, 2023
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    City of Tempe (2023). Metadata Form Template [Dataset]. https://catalog.data.gov/dataset/metadata-form-template-12c3f
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    Dataset updated
    Mar 18, 2023
    Dataset provided by
    City of Tempe
    Description

    Metadata form template for Tempe Open Data.

  7. d

    Batch Metadata Modifier Toolbar

    • catalog.data.gov
    Updated Nov 30, 2020
    + more versions
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    University of Idaho Library (2020). Batch Metadata Modifier Toolbar [Dataset]. https://catalog.data.gov/dataset/batch-metadata-modifier-toolbar
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    Dataset updated
    Nov 30, 2020
    Dataset provided by
    University of Idaho Library
    Description

    For more information about this tool see Batch Metadata Modifier Tool Toolbar Help.Modifying multiple files simultaneously that don't have identical structures is possible but not advised. Be especially careful modifying repeatable elements in multiple files that do not have and identical structureTool can be run as an ArcGIS Add-In or as a stand-alone Windows executableExecutable runs on PC only. (Not supported on Mac.)The ArcGIS Add-In requires ArcGIS Desktop version 10.2 or 10.3Metadata formats accepted: FGDC CSDGM, ArcGIS 1.0, ArcGIS ISO, and ISO 19115Contact Bruce Godfrey (bgodfrey@uidaho.edu, Ph. 208-292-1407) if you have questions or wish to collaborate on further developing this tool.Modifying and maintaining metadata for large batches of ArcGIS items can be a daunting task. Out-of-the-box graphical user interface metadata tools within ArcCatalog 10.x are designed primarily to allow users to interact with metadata for one item at a time. There are, however, a limited number of tools for performing metadata operations on multiple items. Therefore, the need exists to develop tools to modify metadata for numerous items more effectively and efficiently. The Batch Metadata Modifier Tools toolbar is a step in that direction. The Toolbar, which is available as an ArcGIS Add-In, currently contains two tools. The first tool, which is additionally available as a standalone Windows executable application, allows users to update metadata on multiple items iteratively. The tool enables users to modify existing elements, find and replace element content, delete metadata elements, and import metadata elements from external templates. The second tool of the Toolbar, a batch thumbnail creator, enables the batch-creation of the graphic that appears in an item’s metadata, illustrating the data an item contains. Both of these tools make updating metadata in ArcCatalog more efficient, since the tools are able to operate on numerous items iteratively through an easy-to-use graphic interface.This tool, developed by INSIDE Idaho at the University of Idaho Library, was created to assist researchers with modifying FGDC CSDGM, ArcGIS 1.0 Format and ISO 19115 metadata for numerous data products generated under EPSCoR award EPS-0814387.This tool is primarily designed to be used by those familiar with metadata, metadata standards, and metadata schemas. The tool is for use by metadata librarians and metadata managers and those having experience modifying standardized metadata. The tool is designed to expedite batch metadata maintenance. Users of this tool must fully understand the files they are modifying. No responsibility is assumed by the Idaho Geospatial Data Clearinghouse or the University of Idaho in the use of this tool. A portion of the development of this tool was made possible by an Idaho EPSCoR Office award.

  8. n

    My layers metadata

    • national4hgeospatialteam.us
    • growbuckeye.com
    • +5more
    Updated Dec 11, 2024
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    National 4-H GIS Leadership Team (2024). My layers metadata [Dataset]. https://www.national4hgeospatialteam.us/datasets/my-layers-metadata-1
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    Dataset updated
    Dec 11, 2024
    Dataset authored and provided by
    National 4-H GIS Leadership Team
    Area covered
    Description

    Business Analyst Metadata Table

  9. H

    Vivid 2022 Image Service Metadata Layer

    • opendata.hawaii.gov
    • geoportal.hawaii.gov
    • +1more
    Updated Feb 27, 2024
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    Office of Planning (2024). Vivid 2022 Image Service Metadata Layer [Dataset]. https://opendata.hawaii.gov/dataset/vivid-2022-image-service-metadata-layer
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    geojson, csv, kml, pdf, ogc wms, ogc wfs, arcgis geoservices rest api, zip, htmlAvailable download formats
    Dataset updated
    Feb 27, 2024
    Dataset provided by
    Hawaii Statewide GIS Program
    Authors
    Office of Planning
    Description
    [Metadata] This layer contains the collection dates of the imagery contained in the image service shown here: https://geodata.hawaii.gov/arcgis/rest/services/SoH_Imagery/Vivid_2022/ImageServer. Source: USDA Farm Production and Conservation Business Center Geospatial Operations Group, April, 2023.

    For additional information, please see https://files.hawaii.gov/dbedt/op/gis/data/Vivid_2022_Metadata.pdf, or contact the Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.
  10. s

    South Australia State MGA GIS Dataset

    • geo2.scholarsportal.info
    • geo1.scholarsportal.info
    Updated Nov 5, 2004
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    (2004). South Australia State MGA GIS Dataset [Dataset]. http://geo2.scholarsportal.info/proxy.html?http:_giseditor.scholarsportal.info/details/view.html?uri=/NAP/UT/316.xml
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    Dataset updated
    Nov 5, 2004
    Time period covered
    Jan 1, 2003
    Area covered
    Description

    South Australia MGA Geoscientific GIS DVD The South Australia MGA GIS DVD is a consolidation of the spatial data previously available in the State and Provincial CD data packages, presented as MGA Zones 52, 53 and 54 projections.

  11. d

    SOFIA - Metadata - Development of an Internet-Based GIS to Visualize ATLSS...

    • datadiscoverystudio.org
    • dataone.org
    • +2more
    Updated May 21, 2018
    + more versions
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    (2018). SOFIA - Metadata - Development of an Internet-Based GIS to Visualize ATLSS Datasets for Resource Managers. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/443f494a12f148398137c009968b38bf/html
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    Dataset updated
    May 21, 2018
    Description

    description: The ATLSS Data Visualization System was designed to make it simple to view and analyze Spatially-Explicit Species Index (SESI) models.; abstract: The ATLSS Data Visualization System was designed to make it simple to view and analyze Spatially-Explicit Species Index (SESI) models.

  12. a

    James City County GIS Layers Metadata

    • opendata-jcc.opendata.arcgis.com
    • hub.arcgis.com
    Updated Mar 21, 2019
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    James City County, VA (2019). James City County GIS Layers Metadata [Dataset]. https://opendata-jcc.opendata.arcgis.com/documents/4f77af3c9ff94da48f5b9e8fe5b8744e
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    Dataset updated
    Mar 21, 2019
    Dataset authored and provided by
    James City County, VA
    Description

    James City County GIS Layer Metadata

  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
    Explore at:
    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. c

    ds277 GIS Dataset

    • map.dfg.ca.gov
    Updated Dec 12, 2024
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    (2024). ds277 GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds0277.html
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    Dataset updated
    Dec 12, 2024
    Description

    CDFW BIOS GIS Dataset, Contact: Pete Figura, Description: This layer shows critical winter and summer ranges, fall holding areas, and fawning grounds for deer (Odocoileus hemionus) in CDFG Region 1. CDFG Wildlife Biologists compiled these data in the 1970s. Deer range designations were based on biotelemetry studies, personal knowledge, and predicted use of habitats.

  15. s

    Curnamona Province Geoscientific GIS Dataset

    • geo1.scholarsportal.info
    • geo2.scholarsportal.info
    Updated Nov 4, 2004
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    (2004). Curnamona Province Geoscientific GIS Dataset [Dataset]. http://geo1.scholarsportal.info/proxy.html?http:_giseditor.scholarsportal.info/details/view.html?uri=/NAP/UT/313.xml&show_as_standalone=true
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    Dataset updated
    Nov 4, 2004
    Time period covered
    Jan 1, 2000 - Jan 1, 2002
    Area covered
    Description

    Curnamona Province MGA GIS DVDVersion 2 of the Curnamona Province dataset was produced as a co-operative venture between Primary Industries and Resources South Australia (PIRSA), GA (Geoscience Australia) and DMR (New South Wales Department of Mineral Resources). It contains data from South Australia and New South Wales.For a generalised map of Dataset Locations, click here. * Coordinate projection MGA Zone 54 (GDA94). * Dataset size 2.4 Gb * Available formats: ESRI shapefile (ArcGIS, ArcView), MapInfo on DVD-ROM. Users must provide their own software. * DVD-ROM Dataset Price AUD$20. To purchase online, please link to SARIG and go to the Products section.

    Available at the Map and Data Library. CD #163.

  16. c

    Summer Steelhead Distribution [ds341] GIS Dataset

    • map.dfg.ca.gov
    Updated Oct 12, 2023
    + more versions
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    (2023). Summer Steelhead Distribution [ds341] GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds0341.html
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    Dataset updated
    Oct 12, 2023
    Description

    CDFW BIOS GIS Dataset, Contact: Connie Shannon, Description: This dataset depicts observation-based stream-level geographic distribution of anadromous summer-run steelhead trout, Oncorhynchus mykiss irideus, in California. It was developed to assisting in steelhead recovery planning. The distributions reported in this dataset were derived from a subset of the data contained in the Aquatic Species Observation Database.This project is designed to capture statewide inland aquatic vertebrate species observation information.

  17. c

    Steelhead Abundance - Point Features [ds184] GIS Dataset

    • map.dfg.ca.gov
    Updated Oct 8, 2014
    + more versions
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    (2014). Steelhead Abundance - Point Features [ds184] GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds0184.html
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    Dataset updated
    Oct 8, 2014
    Description

    CDFW BIOS GIS Dataset, Contact: Eric Haney, Description: Beginning in 1998, a multi-agency cooperative project was aimed at collecting, archiving, and standardizing the electronic formats of information generated by fisheries resource management agencies and tribes throughout California. Major data categories include adult abundance population estimates, actual fish and/or carcass counts, counts of fish collected at dams, weirs, or traps, harvest data and redd counts. This shapefile, in general, was generated from fully routed 1:100,000 hydrography.

  18. w

    GIS OPEN DATA LISTING

    • data.waterloo.ca
    • geohub.cambridge.ca
    • +2more
    Updated Feb 9, 2018
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    City of Kitchener (2018). GIS OPEN DATA LISTING [Dataset]. https://data.waterloo.ca/datasets/aac0a59ce85b44a395e34285f9f73d12
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    Dataset updated
    Feb 9, 2018
    Dataset authored and provided by
    City of Kitchener
    Area covered
    Description

    Metadata listing for open data

  19. BLM AK Metadata Glance

    • gis.data.alaska.gov
    • hub.arcgis.com
    • +2more
    Updated Apr 23, 2025
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    Bureau of Land Management (2025). BLM AK Metadata Glance [Dataset]. https://gis.data.alaska.gov/datasets/BLM-EGIS::blm-alaska-public-land-survey-system-plss-cadastral-national-spatial-data-infrastructure-cadnsdi?layer=10
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    Dataset updated
    Apr 23, 2025
    Dataset authored and provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Area covered
    Description

    This data represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular survey data. The rectangular survey data are a reference system for land tenure based upon meridian, township/range, section, section subdivision and government lots. The non-rectangular survey data represent surveys that were largely performed to protect and/or convey title on specific parcels of land such as mineral surveys and tracts. The data are largely complete in reference to the rectangular survey data at the level of first division. However, the data varies in terms of granularity of its spatial representation as well as its content below the first division. Therefore, depending upon the data source and steward, accurate subdivision of the rectangular data may not be available below the first division and the non-rectangular minerals surveys may not be present. At times, the complexity of surveys rendered the collection of data cost prohibitive such as in areas characterized by numerous, overlapping mineral surveys. In these situations, the data were often not abstracted or were only partially abstracted and incorporated into the data set. These PLSS data were compiled from a broad spectrum or sources including federal, county, and private survey records such as field notes and plats as well as map sources such as USGS 7 ½ minute quadrangles. The metadata in each data set describes the production methods for the data content. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. A complete PLSS data set includes the following: PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non-rectangular components of the PLSS) Meandered Water, Corners, Metadata at a Glance (which identified last revised date and data steward) and Conflicted Areas (known areas of gaps or overlaps or inconsistencies). The Entity-Attribute section of this metadata describes these components in greater detail. This is a graphic representation of the data stewards based on PLSS Townships in PLSS areas. In non-PLSS areas the metadata at a glance is based on a data steward defined polygons such as a city or county or other units. The identification of the data steward is a general indication of the agency that will be responsible for updates and providing the authoritative data sources. In other implementations this may have been termed the alternate source, meaning alternate to the BLM. But in the shared environment of the NSDI the data steward for an area is the primary coordinator or agency responsible for making updates or causing updates to be made. The data stewardship polygons are defined and provided by the data steward.

  20. c

    Bird Areas - 2004 [ds78] GIS Dataset

    • map.dfg.ca.gov
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    Bird Areas - 2004 [ds78] GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds0078.html
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    Description

    CDFW BIOS GIS Dataset, Contact: Andrea Jones, Description: Important Bird Areas (IBA) as described and analyzed by Cooper (2004), Important Bird Areas of California. Each IBA entry supports a list of sensitive species reported to occur within the IBA and a ranking score based on criteria described in the metadata.

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National Park Service (2024). Digital Geologic-GIS Map of the Mammoth Cave Quadrangle, Kentucky (NPS, GRD, GRI, MACA, MACV digital map) adapted from a U.S. Geological Survey Geologic Quadrangle Map by Haynes (1964) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-the-mammoth-cave-quadrangle-kentucky-nps-grd-gri-maca-macv-dig

Digital Geologic-GIS Map of the Mammoth Cave Quadrangle, Kentucky (NPS, GRD, GRI, MACA, MACV digital map) adapted from a U.S. Geological Survey Geologic Quadrangle Map by Haynes (1964)

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Dataset updated
Jun 4, 2024
Dataset provided by
National Park Service
Area covered
Mammoth Cave, Kentucky
Description

The Digital Geologic-GIS Map of the Mammoth Cave 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 (macv_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 (macv_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 (macv_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 (macv_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 (macv_geology_metadata.txt or macv_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).

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