55 datasets found
  1. List of National Geospatial Data Assets (NGDAs) Portfolio Datasets As...

    • catalog.data.gov
    Updated Dec 14, 2022
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    Federal Geographic Data Committee (FGDC) National Geospatial Data Asset (NGDA) Portfolio Management Team (Custodian) (2022). List of National Geospatial Data Assets (NGDAs) Portfolio Datasets As Endorsed by the Federal Geospatial Data Committee (FGDC) [Dataset]. https://catalog.data.gov/dataset/list-of-national-geospatial-data-assets-ngdas-portfolio-datasets-as-endorsed-by-the-federal-geo2
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    Dataset updated
    Dec 14, 2022
    Dataset provided by
    National Geospatial-Intelligence Agencyhttp://www.nga.mil/
    Federal Geographic Data Committee
    Description

    An National Geospatial Data Asset (NGDA) is defined as a geospatial dataset that has been designated by the FGDC Steering Committee and meets at least one of the following criteria: used by multiple agencies or with agency partners such as State, Tribal and local governments; applied to achieve Presidential priorities as expressed by OMB; required to meet shared mission goals of multiple Federal agencies; or expressly required by statutory mandate. Together, these datasets comprise the NGDA Portfolio. This metadata points to a spreadsheet that contains the official list of NGDA with a link to specific NGDA metadata maintained by the dataset owners on Data.gov, GeoPlatform.gov, a link to their associated NGDA Theme, and the agency responsible for the NGDA.

  2. d

    USNG 100m Grid

    • data.dsm.city
    Updated Aug 2, 2021
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    City of Des Moines (2021). USNG 100m Grid [Dataset]. https://data.dsm.city/datasets/desmoines::usng-100m-grid/about
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    Dataset updated
    Aug 2, 2021
    Dataset authored and provided by
    City of Des Moines
    Area covered
    Description

    This is a polygon feature data layer of United States National Grid (100m x 100m polygons ) constructed by the Center for Interdisciplinary Geospatial Information Technologies at Delta State University with support from the US Geological Survey under the Cooperative Agreement 07ERAG0083. For correct display, please set the base coordinate system and projection such that it matches the UTM zone for which these data were constructed using the NAD 83 datum. Further information about the US National Grid is available from https://www.fgdc.gov/usng and a viewing of these layers as applied to local geography may be seen at the National Map, https://www.nationalmap.gov.

  3. u

    United States National Grid for New Mexico, UTM 12, (1000m X 1000m polygons...

    • gstore.unm.edu
    • s.cnmilf.com
    • +1more
    csv, geojson, gml +5
    Updated Feb 18, 2008
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    Earth Data Analysis Center (2008). United States National Grid for New Mexico, UTM 12, (1000m X 1000m polygons ) [Dataset]. https://gstore.unm.edu/apps/rgisarchive/datasets/c5a651c4-f698-456a-abc9-a5d0459135bd/metadata/FGDC-STD-001-1998.html
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    geojson(50), csv(50), zip(9), json(50), kml(50), xls(50), shp(50), gml(50)Available download formats
    Dataset updated
    Feb 18, 2008
    Dataset provided by
    Earth Data Analysis Center
    Time period covered
    2007
    Area covered
    New Mexico, United States, West Bounding Coordinate -109.276835509789 East Bounding Coordinate -107.999999786356 North Bounding Coordinate 37.0318932757983 South Bounding Coordinate 31.2753261895844, McKinley County (35031)
    Description

    This is a polygon feature data layer of United States National Grid (1000m x 1000m polygons ) constructed by the Center for Interdisciplinary Geospatial Information Technologies at Delta State University with support from the US Geological Survey under the Cooperative Agreement 07ERAG0083. For correct display, please set the base coordinate system and projection such that it matches the UTM zone for which these data were constructed using the NAD 83 datum. Further information about the US National Grid is available from http://www.fgdc.gov/usng and a viewing of these layers as applied to local geography may be seen at the National Map, http://www.nationalmap.gov. The name of each dataset has the following format - StateAbbv_USNG_UTMXX. For example, for the UTM zone 15 of Mississippi, the dataset is named MS_USNG_UTM15.

  4. a

    NWR USFS Lands

    • conservation-abra.hub.arcgis.com
    Updated Feb 15, 2022
    + more versions
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    Allegheny-Blue Ridge Alliance (2022). NWR USFS Lands [Dataset]. https://conservation-abra.hub.arcgis.com/datasets/nwr-usfs-lands-1
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    Dataset updated
    Feb 15, 2022
    Dataset authored and provided by
    Allegheny-Blue Ridge Alliance
    Area covered
    Description

    The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

  5. d

    Protected Areas Database of the United States (PAD-US) 1.4

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Protected Areas Database of the United States (PAD-US) 1.4 [Dataset]. https://catalog.data.gov/dataset/protected-areas-database-of-the-united-states-pad-us-1-4
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    United States
    Description

    NOTE: A more current version of the Protected Areas Database of the United States (PAD-US) is available: PAD-US 2.0 https://doi.org/10.5066/P955KPLE. The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

  6. v

    VT US National Grid Index

    • geodata.vermont.gov
    • data.amerigeoss.org
    • +3more
    Updated Aug 3, 2008
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    VT Center for Geographic Information (2008). VT US National Grid Index [Dataset]. https://geodata.vermont.gov/datasets/vt-us-national-grid-index
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    Dataset updated
    Aug 3, 2008
    Dataset authored and provided by
    VT Center for Geographic Information
    License

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

    Area covered
    Description

    (Link to Metadata) USNGVT is a U.S. National Grid Index (1000m x 1000m) covering Vermont. Its a polygon feature class originally constructed by the Center for Interdisciplinary Geospatial Information Technologies at Delta State University with support from the US Geological Survey under the Cooperative Agreement 07ERAG0083. VCGI merged UTM zone 18 and 19 into a single layer, the projected to VCS NAD83. Further information about the US National Grid is available from http://www.fgdc.gov/usng and a viewing of these layers as applied to local geography may be seen at the National Map, http://www.nationalmap.gov. This dataset includes the USNG grid for parts of Vermont, New Hampshire, Massachusetts and Connecticut that lie in UTM zone 18.

  7. a

    NPS RG

    • geospatialcentroid-csurams.hub.arcgis.com
    Updated May 22, 2020
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    Colorado State University (2020). NPS RG [Dataset]. https://geospatialcentroid-csurams.hub.arcgis.com/datasets/nps-rg-1
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    Dataset updated
    May 22, 2020
    Dataset authored and provided by
    Colorado State University
    Area covered
    Description

    United States National Park Service lands within the Rio Grande River Basin. The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

  8. d

    DS 827, Vegetation Database for Land-Cover Mapping in Clark and Lincoln...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Sep 18, 2024
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    U.S. Geological Survey (2024). DS 827, Vegetation Database for Land-Cover Mapping in Clark and Lincoln Counties, Nevada [Dataset]. https://catalog.data.gov/dataset/ds-827-vegetation-database-for-land-cover-mapping-in-clark-and-lincoln-counties-nevada
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    Dataset updated
    Sep 18, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Lincoln County, Nevada
    Description

    This geodatabase consists of a point feature class and related tables representing sample sites where vegetation data were collected from 2007 to 2013 in Clark and Lincoln Counties, Nevada. Samples are identified with a vegetation stand name and classified from the alliance to the class level of the National Vegetation Classification Standard (NVC; Federal Geographic Data Committee, 2008). The database is also available in tabular format as tab-delimited text files or a Microsoft Excel spreadsheet. Reference Cited: Federal Geographic Data Committee, 2008, National Vegetation Classification Standard, Version 2, FGDC-STD-005-2008, accessed December 6, 2012, http://www.fgdc.gov/standards/projects/FGDC-standards-projects/vegetation/NVCS_V2_FINAL_2008.pdf.

  9. d

    2021 - 2024 FGDC Transportation Theme Strategic Plan v1.1

    • catalog.data.gov
    Updated Jun 30, 2025
    + more versions
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    GeoPlatform ArcGIS Online (2025). 2021 - 2024 FGDC Transportation Theme Strategic Plan v1.1 [Dataset]. https://catalog.data.gov/dataset/2021-2024-fgdc-transportation-theme-strategic-plan-v1-1
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    Dataset updated
    Jun 30, 2025
    Dataset provided by
    GeoPlatform ArcGIS Online
    Description

    {{description}}

  10. g

    United States National Grid for New Mexico, UTM 12, (1000m X 1000m polygons...

    • gimi9.com
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    United States National Grid for New Mexico, UTM 12, (1000m X 1000m polygons ) | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_united-states-national-grid-for-new-mexico-utm-12-1000m-x-1000m-polygons/
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    License

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

    Description

    This is a polygon feature data layer of United States National Grid (1000m x 1000m polygons ) constructed by the Center for Interdisciplinary Geospatial Information Technologies at Delta State University with support from the US Geological Survey under the Cooperative Agreement 07ERAG0083. For correct display, please set the base coordinate system and projection such that it matches the UTM zone for which these data were constructed using the NAD 83 datum. Further information about the US National Grid is available from http://www.fgdc.gov/usng and a viewing of these layers as applied to local geography may be seen at the National Map, http://www.nationalmap.gov. The name of each dataset has the following format - StateAbbv_USNG_UTMXX. For example, for the UTM zone 15 of Mississippi, the dataset is named MS_USNG_UTM15.

  11. d

    Data from: Habitat--Offshore of Point Conception Map Area, California

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Habitat--Offshore of Point Conception Map Area, California [Dataset]. https://catalog.data.gov/dataset/habitat-offshore-of-point-conception-map-area-california
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Point Conception, California
    Description

    This part of DS 781 presents data for the habitat map of the Offshore of Point Conception Map Area, California. The vector data file is included in "Habitat_OffshorePointConception.zip," which is accessible from https://doi.org/10.5066/F7QN64XQ. These data accompany the pamphlet and map sheets of Johnson, S.Y., Dartnell, P., Cochrane, G.R., Hartwell, S.R., Golden, N.E., Kvitek, R.G., and Davenport, C.W. (S.Y. Johnson and S.A. Cochran, eds.), 2018, California State Waters Map Series—Offshore of Point Conception, California: U.S. Geological Survey Open-File Report 2018–1024, pamphlet 36 p., 9 sheets, scale 1:24,000, https://doi.org/10.3133/ofr20181024. This map shows physical marine benthic habitats in the Offshore of Point Conception map area. Marine benthic habitats represent a particular type of water quality, substrate, geomorphology, seafloor process, or any other attribute that may provide a habitat for a specific species or an assemblage of organisms. Marine benthic habitats are classified using the Coastal and Marine Ecological Classification Standard (CMECS), developed by representatives from a consortium of federal agencies. CMECS is the U.S. government standard for marine habitat characterization. The standard provides an ecologically relevant structure for biologic, geologic, chemical, and physical habitat attributes. This map illustrates the geoform and substrate components of the standard. This map was derived from geologic and geomorphic map units by translation of the unit description into the best-fit values of CMECS classes. The CMECS classes are documented at https://www.fgdc.gov/standards/projects/FGDC-standards-projects/cmecs-folder/CMECS_Version_06-2012_FINAL.pdf.

  12. u

    United States National Grid for New Mexico, UTM 13, (1000m X 1000m polygons...

    • gstore.unm.edu
    • s.cnmilf.com
    • +4more
    csv, geojson, gml +5
    Updated Feb 18, 2008
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    Earth Data Analysis Center (2008). United States National Grid for New Mexico, UTM 13, (1000m X 1000m polygons ) [Dataset]. https://gstore.unm.edu/apps/rgis/datasets/44cdaeb5-755e-4608-8177-c45e00d56eaf/metadata/FGDC-STD-001-1998.html
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    gml(200), geojson(200), zip(22), xls(200), kml(200), csv(200), json(200), shp(200)Available download formats
    Dataset updated
    Feb 18, 2008
    Dataset provided by
    Earth Data Analysis Center
    Time period covered
    2007
    Area covered
    West Bounding Coordinate -107.999999790085 East Bounding Coordinate -102.819036468686 North Bounding Coordinate 37.0462223132505 South Bounding Coordinate 31.7261693992331, Rio Arriba County (35039), New Mexico
    Description

    This is a polygon feature data layer of United States National Grid (1000m x 1000m polygons ) constructed by the Center for Interdisciplinary Geospatial Information Technologies at Delta State University with support from the US Geological Survey under the Cooperative Agreement 07ERAG0083. For correct display, please set the base coordinate system and projection such that it matches the UTM zone for which these data were constructed using the NAD 83 datum. Further information about the US National Grid is available from http://www.fgdc.gov/usng and a viewing of these layers as applied to local geography may be seen at the National Map, http://www.nationalmap.gov. The name of each dataset has the following format - StateAbbv_USNG_UTMXX. For example, for the UTM zone 15 of Mississippi, the dataset is named MS_USNG_UTM15.

  13. A

    ‘United States National Grid for New Mexico, UTM 12, (1000m X 1000m polygons...

    • analyst-2.ai
    Updated Jan 28, 2022
    + more versions
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘United States National Grid for New Mexico, UTM 12, (1000m X 1000m polygons )’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-united-states-national-grid-for-new-mexico-utm-12-1000m-x-1000m-polygons-1891/latest
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    Dataset updated
    Jan 28, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Area covered
    New Mexico, United States
    Description

    Analysis of ‘United States National Grid for New Mexico, UTM 12, (1000m X 1000m polygons )’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/09b1d333-d51b-4a6e-94e7-35b1fab4c4b2 on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    This is a polygon feature data layer of United States National Grid (1000m x 1000m polygons ) constructed by the Center for Interdisciplinary Geospatial Information Technologies at Delta State University with support from the US Geological Survey under the Cooperative Agreement 07ERAG0083. For correct display, please set the base coordinate system and projection such that it matches the UTM zone for which these data were constructed using the NAD 83 datum. Further information about the US National Grid is available from http://www.fgdc.gov/usng and a viewing of these layers as applied to local geography may be seen at the National Map, http://www.nationalmap.gov. The name of each dataset has the following format - StateAbbv_USNG_UTMXX. For example, for the UTM zone 15 of Mississippi, the dataset is named MS_USNG_UTM15.

    --- Original source retains full ownership of the source dataset ---

  14. Index Grids - NATIONAL_GRID_1000M_IN: The 1000-meter U.S. National Grid...

    • data.wu.ac.at
    • datadiscoverystudio.org
    xml
    Updated Aug 19, 2017
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    NSGIC State | GIS Inventory (2017). Index Grids - NATIONAL_GRID_1000M_IN: The 1000-meter U.S. National Grid (1000 m x 1000 m) for Indiana (Delta State University, Polygon Shapefile) [Dataset]. https://data.wu.ac.at/schema/data_gov/NmU5N2ZmZjgtNjg1Zi00YzI0LTk1ZjItYWQzMzM1NjcwNmVl
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    xmlAvailable download formats
    Dataset updated
    Aug 19, 2017
    Dataset provided by
    National States Geographic Information Council
    Area covered
    ceee7fdeaaf3c957a47b68fe2672dde81113c146
    Description

    This data set shows the Indiana-portion of the 1000-meter United States National Grid (USNG). The following is excerpted from metadata provided with the original source data set named "IN_USNG_UTM16.SHP": "This is a polygon feature data layer of United States National Grid (1000 m x 1000 m polygons) constructed by the Center for Interdisciplinary Geospatial Information Technologies at Delta State University with support from the US Geological Survey under the Cooperative Agreement 07ERAG0083. For correct display, please set the base coordinate system and projection such that it matches the UTM zone for which these data were constructed using the NAD 83 datum. Further information about the US National Grid is available from http://www.fgdc.gov/usng and a viewing of these layers as applied to local geography may be seen at the National Map, http://www.nationalmap.gov ."

  15. a

    Protected Areas Database (PADUS)

    • geohub-uwyo.opendata.arcgis.com
    • data.geospatialhub.org
    Updated Jul 19, 2021
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    WyomingGeoHub (2021). Protected Areas Database (PADUS) [Dataset]. https://geohub-uwyo.opendata.arcgis.com/items/97a136205c5645d4a45cc715531281db
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    Dataset updated
    Jul 19, 2021
    Dataset authored and provided by
    WyomingGeoHub
    Description

    The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (https://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The PAD-US database strives to be a complete “best available” inventory of protected areas. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. For more information regarding the PAD-US dataset please visit, https://gapanalysis.usgs.gov/padus/. To View the complete metadata record for this dataset please visit, https://gapanalysis.usgs.gov/padus/data/metadata/ .

  16. a

    FWS RG

    • geospatialcentroid-csurams.hub.arcgis.com
    Updated May 22, 2020
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    Colorado State University (2020). FWS RG [Dataset]. https://geospatialcentroid-csurams.hub.arcgis.com/datasets/fws-rg-1
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    Dataset updated
    May 22, 2020
    Dataset authored and provided by
    Colorado State University
    Area covered
    Description

    United States Fish and Wildlife Service lands within the Rio Grande River Basin.The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

  17. c

    Data from: Coastal and Marine Ecological Classifcation Standard (CMECS)...

    • s.cnmilf.com
    • data.usgs.gov
    • +4more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Coastal and Marine Ecological Classifcation Standard (CMECS) geoforms of the Oregon outer continental shelf (OCS) proposed wind farm site [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/coastal-and-marine-ecological-classifcation-standard-cmecs-geoforms-of-the-oregon-outer-co
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Oregon
    Description

    This polygon shapefile is part of a data release of the Oregon outer continental shelf (OCS) proposed wind farm map site. The polygons have attribute values for Coastal and Marine Ecological Classification Standard (CMECS) geoforms, substrate, and modifiers. CMECS is the U.S. government standard for marine habitat characterization and was developed by representatives from a consortium of federal agencies. The standard provides an ecologically relevant structure for biologic, geologic, chemical, and physical habitat attributes. This map illustrates the geoform and substrate components of the standard. The CMECS classes are documented at https://www.fgdc.gov/standards/projects/FGDC-standards-projects/cmecs-folder/CMECS_Version_06-2012_FINAL.pdf Please refer to Madden and others (2008) for more information regarding the CMECS. The polygons were derived by classifying multibeam echosounder bathymetry and backscatter collected in 2014; details and data are available in Cochrane and others (2015) and Cochrane and others (2017).

  18. DOE Legacy Management Site Boundaries

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated May 2, 2025
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    Department of Energy Office of Legacy Management, Technical Data Manager (2025). DOE Legacy Management Site Boundaries [Dataset]. https://catalog.data.gov/dataset/doe-legacy-management-site-boundaries
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    Dataset updated
    May 2, 2025
    Dataset provided by
    United States Department of Energyhttp://energy.gov/
    Description

    Each feature within this dataset is the authoritative representation of the boundary of each U.S. Department of Energy Office of Legacy Management (LM) site listed as a current in the Site Management Guide (https://www.energy.gov/lm/downloads/site-management-guide). The dataset includes boundaries from Puerto Rico to Alaska and is only applicable to the extents contained within the dataset. All features are maintained as derived boundaries that were created by combining all component extents defined by a legal description for Category 1, 2, and 3 sites or a historic report for Category 1 sites as defined in the Site Management Guide. A general description of the components is included in the feature attributes. The dataset was designed to align with the NGDA Real Property Theme (https://www.fgdc.gov/initiatives/ngda-management-plan).

  19. d

    Habitat--Offshore of Monterey, California

    • catalog.data.gov
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Habitat--Offshore of Monterey, California [Dataset]. https://catalog.data.gov/dataset/habitat-offshore-of-monterey-california
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Monterey, California
    Description

    This part of DS 781 presents data for the habitat map of the seafloor of the Offshore of Monterey map area, California. The vector data file is included in "Habitat_OffshoreMonterey.zip," which is accessible from https://doi.org/10.5066/F70Z71C8. These data accompany the pamphlet and map sheets of Johnson, S.Y., Dartnell, P., Hartwell, S.R., Cochrane, G.R., Golden, N.E., Watt, J.T., Davenport, C.W., Kvitek, R.G., Erdey, M.D., Krigsman, L.M., Sliter, R.W., and Maier, K.L. (S.Y. Johnson and S.A. Cochran, eds.), 2016, California State Waters Map Series—Offshore of Monterey, California: U.S. Geological Survey Open-File Report 2016–1110, pamphlet 44 p., 10 sheets, scale 1:24,000, https://doi.org/10.3133/ofr20161110. This map shows physical marine benthic habitats in the Offshore of Monterey map area. Marine benthic habitats represent a particular type of water quality, substrate, geomorphology, seafloor process, or any other attribute that may provide a habitat for a specific species or an assemblage of organisms. Marine benthic habitats are classified using the Coastal and Marine Ecological Classification Standard (CMECS), developed by representatives from a consortium of federal agencies. CMECS is the U.S. government standard for marine habitat characterization. The standard provides an ecologically-relevant structure for biologic, geologic, chemical, and physical habitat attributes. This map illustrates the geoform and substrate components of the standard. This map was derived from seafloor geology map (sheet 10) units by translation of the unit description into the best-fit values of CMECS classes. The CMECS classes are documented at https://www.fgdc.gov/standards/projects/FGDC-standards-projects/cmecs-folder/CMECS_Version_06-2012_FINAL.pdf. Please refer to Greene and others (2007) for more information regarding the Benthic Marine Potential Habitat Classification Scheme and the codes used to represent various seafloor features. Reference Cited: Greene, H.G., Bizzarro, J.J., O'Connell, V.M., and Brylinsky, C.K., 2007, Construction of digital potential marine benthic habitat maps using a coded classification scheme and its application, in Todd, B.J., and Greene, H.G., eds., Mapping the seafloor for habitat characterization: Geological Association of Canada Special Paper 47, p. 141-155.

  20. d

    SIR 2014-5076, Land-Cover Data for Red Rock Canyon National Conservation...

    • catalog.data.gov
    • data.usgs.gov
    • +3more
    Updated Nov 1, 2024
    + more versions
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    U.S. Geological Survey (2024). SIR 2014-5076, Land-Cover Data for Red Rock Canyon National Conservation Area and Coyote Springs, Piute-Eldorado Valley, and Mormon Mesa Areas of Critical Environmental Concern, Clark County, Nevada [Dataset]. https://catalog.data.gov/dataset/sir-2014-5076-land-cover-data-for-red-rock-canyon-national-conservation-area-and-coyote-sp
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    Dataset updated
    Nov 1, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Clark County, Coyote Springs, Eldorado Valley, Mormon Mesa, Nevada
    Description

    Four polygon vector data sets and one related table describe land-cover in Red Rock Canyon National Conservation Area (RRC_NCA_p) and Coyote Springs (CS_ACEC_p), Piute-Eldorado Valley (PEV_ACEC_p), and Mormon Mesa (MM_ACEC_p) Areas of Critical Environmental Concern, Clark County, Nevada. One polygon vector data set per Area is attributed with land- cover at the vegetation stand level (abbreviated with a stand code) and the corresponding alliance level of the National Vegetation Classification Standard (NVC; Federal Geographic Data Committee, 2008). The table (tbl_NVC) is related to each of the four polygon data sets and contains the NVC classification from the group to class level. DigitalGlobe's QuickBird multispectral satellite imagery was classified with field vegetation data (Charlet and others, 2014) collected at the stand level using Visual Learning Systems' Feature Analyst feature extraction software. Non-vegetation data layers, such as roads and disturbed areas, were manually delineated from the QuickBird imagery. The process steps have been generalized to apply to all study areas. Details about processing, such as vegetation samples used for training input and major changes made during photo interpretation are detailed in the larger work. For simplicity, the process dates are listed as the final publication date. Red Rock Canyon National Conservation Area was processed during 2008, Coyote Springs Area of Critical Environmental Concern during 2011, Piute-Eldorado Valley Area of Critical Environmental Concern during 2012, and Mormon Mesa Area of Critical Environmental Concern during 2013. References Cited: Federal Geographic Data Committee, 2008, National vegetation classification standard, version 2, FGDC-STD-005-2008, accessed December 6, 2012 at http://www.fgdc.gov/standards/projects/FGDC-standards-projects/vegetation/NVCS_V2_FINAL_2008-02.pdf. Charlet, D.A., Damar, N.A., and Leary, P.J., 2014, Vegetation Database for Land-Cover Mapping, Clark and Lincoln Counties, Nevada, U.S. Geological Survey Data Series 827, 18 p., at https://pubs.usgs.gov/ds/827.

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Federal Geographic Data Committee (FGDC) National Geospatial Data Asset (NGDA) Portfolio Management Team (Custodian) (2022). List of National Geospatial Data Assets (NGDAs) Portfolio Datasets As Endorsed by the Federal Geospatial Data Committee (FGDC) [Dataset]. https://catalog.data.gov/dataset/list-of-national-geospatial-data-assets-ngdas-portfolio-datasets-as-endorsed-by-the-federal-geo2
Organization logoOrganization logo

List of National Geospatial Data Assets (NGDAs) Portfolio Datasets As Endorsed by the Federal Geospatial Data Committee (FGDC)

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Dataset updated
Dec 14, 2022
Dataset provided by
National Geospatial-Intelligence Agencyhttp://www.nga.mil/
Federal Geographic Data Committee
Description

An National Geospatial Data Asset (NGDA) is defined as a geospatial dataset that has been designated by the FGDC Steering Committee and meets at least one of the following criteria: used by multiple agencies or with agency partners such as State, Tribal and local governments; applied to achieve Presidential priorities as expressed by OMB; required to meet shared mission goals of multiple Federal agencies; or expressly required by statutory mandate. Together, these datasets comprise the NGDA Portfolio. This metadata points to a spreadsheet that contains the official list of NGDA with a link to specific NGDA metadata maintained by the dataset owners on Data.gov, GeoPlatform.gov, a link to their associated NGDA Theme, and the agency responsible for the NGDA.

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