26 datasets found
  1. BLM WY Public Land Survey System Second Division

    • catalog.data.gov
    • gbp-blm-egis.hub.arcgis.com
    Updated Nov 11, 2025
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    Bureau of Land Management (2025). BLM WY Public Land Survey System Second Division [Dataset]. https://catalog.data.gov/dataset/blm-wy-public-land-survey-system-second-division-35a13
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    Dataset updated
    Nov 11, 2025
    Dataset provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Description

    The second division of the PLSS is quarter, quarter-quarter, sixteenth or government lot division of the PLSS within the BLM Administrative State of Wyoming. The second and third divisions are combined into this feature class as an intentional de-normalization of the PLSS hierarchical data. The polygons in this feature class represent the smallest division that has been defined for the first division. In most cases the smallest division for the cadastral reference will be the sixteenth but in some cases sections have only been divided to the quarter. Divisions below the sixteenth may be included in this feature class, but in most implementations these smaller divisions will be parcels. These are not the official representations of the lines marked by the survey, please contact Wyoming Cadastral Survey.

  2. g

    BLM WY Public Land Survey System Metadata Glance

    • gimi9.com
    • catalog.data.gov
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    BLM WY Public Land Survey System Metadata Glance [Dataset]. https://gimi9.com/dataset/data-gov_blm-wy-public-land-survey-system-metadata-glance-ebf1d/
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    License

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

    Description

    This is a graphic representation of the data stewards based on PLSS Townships in PLSS areas within the BLM Administrative State of Wyoming. 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. These are not the official representations of the lines marked by the survey, please contact Wyoming Cadastral Survey.

  3. BLM WY Public Land Survey System First Division

    • gbp-blm-egis.hub.arcgis.com
    • catalog.data.gov
    Updated Sep 27, 2022
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    Bureau of Land Management (2022). BLM WY Public Land Survey System First Division [Dataset]. https://gbp-blm-egis.hub.arcgis.com/maps/BLM-EGIS::blm-wy-public-land-survey-system-first-division/explore
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    Dataset updated
    Sep 27, 2022
    Dataset authored and provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Area covered
    Description

    The PLSS First Division is commonly the section. This is the first set of divisions for a PLSS Township within the BLM Administrative State of Wyoming. These are not the official representations of the lines marked by the survey, please contact Wyoming Cadastral Survey.

  4. g

    BLM WY Public Land Survey System Township

    • gimi9.com
    • catalog.data.gov
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    BLM WY Public Land Survey System Township [Dataset]. https://gimi9.com/dataset/data-gov_blm-wy-public-land-survey-system-township-3c1a2/
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    License

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

    Description

    In the Public Land Survey System a Township refers to a unit of land, that is nominally six miles on a side, usually containing 36 sections within the BLM Administrative State of Wyoming. These are not the official representations of the lines marked by the survey, please contact Wyoming Cadastral Survey.

  5. d

    BLM LR2000 coal authorizations for the Sagebrush Mineral-Resource Assessment...

    • dataone.org
    • data.usgs.gov
    • +2more
    Updated Apr 13, 2017
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    Connie L. Dicken; Carma A. San Juan (2017). BLM LR2000 coal authorizations for the Sagebrush Mineral-Resource Assessment (SaMiRA) aggregated by Public Land Survey System (PLSS) section boundaries [Dataset]. https://dataone.org/datasets/fb042059-d392-4ffc-8a0c-f03b88ed07dd
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    Dataset updated
    Apr 13, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Connie L. Dicken; Carma A. San Juan
    Area covered
    Variables measured
    FID, Shape, PLSSID, Disp_Dt, FRSTDIVID, Case_Disp_, Casetype_T, PLSSID_JOI, Serial_Nr_, Shape_Area, and 1 more
    Description

    The polygon (vector) shapefiles represent Public Land Survey System (PLSS) sections, or 1-square mile areas of land, with information about Bureau of Land Management (BLM) land and mineral use authorizations for coal. The land areas specified by BLM authorizations vary in size and orientation, and may cross one or more PLSS section boundaries. For spatial consistency, the information was aggregated to the square mile PLSS section boundary. The original source data from BLM Cases Recordation database (LR2000) were specific to the day they were generated (March 6, 2016) and subsequent data pulls will likely be different.

  6. G

    Cadastral Information for Ar-ce-wy-ee 4

    • open.canada.ca
    shp
    Updated Jan 30, 2017
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    Natural Resources Canada (2017). Cadastral Information for Ar-ce-wy-ee 4 [Dataset]. https://open.canada.ca/data/en/dataset/9f053f45-635a-42c3-a1af-74853425bf4d
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    shpAvailable download formats
    Dataset updated
    Jan 30, 2017
    Dataset provided by
    Natural Resources Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This data provides the integrated cadastral framework for the specified Canada Land. The cadastral framework consists of active and superseded cadastral parcel, roads, easements, administrative areas, active lines, points and annotations. The cadastral lines form the boundaries of the parcels. COGO attributes are associated to the lines and depict the adjusted framework of the cadastral fabric. The cadastral annotations consist of lot numbers, block numbers, township numbers, etc. The cadastral framework is compiled from Canada Lands Survey Records (CLSR), Registration Plans (RS) and Location Sketches (LS) archived in the Canada Lands Survey Records.

  7. a

    City of Reno CWPP Land Ownership

    • city-of-reno-cwpp-cityofreno.hub.arcgis.com
    Updated Oct 1, 2025
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    SWCA_cityofreno (2025). City of Reno CWPP Land Ownership [Dataset]. https://city-of-reno-cwpp-cityofreno.hub.arcgis.com/datasets/cc1b67129b22441382543fac988d8559
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    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    SWCA_cityofreno
    Area covered
    Description

    This dataset represents Surface Management Agency status in Wyoming. This dataset is intended to represent the ownership & management information on Master Title Plats(MTPs). Surface management will be identified by the Agency of Jurisdiction, when the surface is Federal. All other parcels will be identified as either Private or State. Private parcels do not identify the name of the individual owner. The geometry of this dataset was constructed from the current version of the Cadastral National Spatial Data Infrastructure (CadNSDI) standardized PLSS for Wyoming. This dataset adheres to the BLM National Surface Management Agency data standard published in 2013.Please be advised that surface ownership and surface management are not always synonomous. In some cases, one agency may be responsible for surface management but not own that particular surface parcel (i.e. lands owned by the Bureau of Reclamation within a state park are managed by Wyoming State Parks, Historic Sites and Trails, not by the Bureau of Reclamation). Please also note that state managed lands are now under 3 categories; "State" applies to those lands managed by the Wyoming Office of State Lands & Investments. The other two categories are "State (Wyoming Game & Fish)" and "State (State Parks & Hist Sites)" managed by the Wyoming Game & Fish Dept and Wyoming State Parks, Historic Sites, and Trails, respectively.

  8. a

    Mineral County CWPP Land Ownership

    • mineral-county-cwpp-hub-site-mineralcoehp.hub.arcgis.com
    Updated Feb 4, 2025
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    andysuperior1 (2025). Mineral County CWPP Land Ownership [Dataset]. https://mineral-county-cwpp-hub-site-mineralcoehp.hub.arcgis.com/items/40ce06edc9f645358a73dece1f9de4a0
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    Dataset updated
    Feb 4, 2025
    Dataset authored and provided by
    andysuperior1
    Area covered
    Description

    This dataset represents Surface Management Agency status in Wyoming. This dataset is intended to represent the ownership & management information on Master Title Plats(MTPs). Surface management will be identified by the Agency of Jurisdiction, when the surface is Federal. All other parcels will be identified as either Private or State. Private parcels do not identify the name of the individual owner. The geometry of this dataset was constructed from the current version of the Cadastral National Spatial Data Infrastructure (CadNSDI) standardized PLSS for Wyoming. This dataset adheres to the BLM National Surface Management Agency data standard published in 2013.Please be advised that surface ownership and surface management are not always synonomous. In some cases, one agency may be responsible for surface management but not own that particular surface parcel (i.e. lands owned by the Bureau of Reclamation within a state park are managed by Wyoming State Parks, Historic Sites and Trails, not by the Bureau of Reclamation). Please also note that state managed lands are now under 3 categories; "State" applies to those lands managed by the Wyoming Office of State Lands & Investments. The other two categories are "State (Wyoming Game & Fish)" and "State (State Parks & Hist Sites)" managed by the Wyoming Game & Fish Dept and Wyoming State Parks, Historic Sites, and Trails, respectively.

  9. BLM WY Greater Sage Grouse RMPA Locatable Open

    • blm-gbp-lup-blm-egis.hub.arcgis.com
    Updated Nov 27, 2024
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    Bureau of Land Management (2024). BLM WY Greater Sage Grouse RMPA Locatable Open [Dataset]. https://blm-gbp-lup-blm-egis.hub.arcgis.com/datasets/blm-wy-greater-sage-grouse-rmpa-locatable-open
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    Dataset updated
    Nov 27, 2024
    Dataset authored and provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Area covered
    Description

    This feature class contains polygons for federal locatable mineral estate open to mineral location and entry in the proposed management area.

    This dataset represents federal mineral status in Wyoming. This dataset is intended to represent federal mineral information on Master Title Plats (MTPs) and other land status records. The geometry of this dataset was constructed from the current version of the Cadastral National Spatial Data Infrastructure (CadNSDI) standardized PLSS for Wyoming. The types of federal mineral reservations are representative of those found on land patents issued in Wyoming.

  10. CADNSDI Western States Boundaries (POLYGON)

    • data.wu.ac.at
    zip
    Updated Jun 8, 2018
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    Department of the Interior (2018). CADNSDI Western States Boundaries (POLYGON) [Dataset]. https://data.wu.ac.at/schema/data_gov/MzljZDVjNDctMzI1NS00ZDJkLTg3NDgtYmZmYTM3OGIyZTVm
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    zipAvailable download formats
    Dataset updated
    Jun 8, 2018
    Dataset provided by
    United States Department of the Interiorhttp://www.doi.gov/
    License

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

    Area covered
    a2391ee694951a632fead3f75981c1678a915f5f
    Description

    This dataset portrays the Western State's boundaries based on the 2010 Cadastral National Spatial Data Infrastructure (CADNSDI) Geographic Coordinate Data Base (GCDB) distribution. The GCDB was acquired from a Premier Data contract in coordination with the BLM state GCDB Data Stewards to deliver a standardized GCDB product. This product would be capable, where GCDB data exists, to identify the State borders. Where GCDB data does not exist, in cases or rivers, lakes, and unsurveyed terrain, then alternative sources were used to identify the state boundary. Alternative sources include original 24K USGS Maps and US Forest Service Cartographic Feature File (CFF) PLSS data.

  11. d

    BLM LR2000 plans of operations and notices for the Sagebrush...

    • search.dataone.org
    • data.usgs.gov
    • +1more
    Updated Apr 13, 2017
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    Connie L. Dicken; Carma A. San Juan (2017). BLM LR2000 plans of operations and notices for the Sagebrush Mineral-Resource Assessment (SaMiRA) aggregated by Public Land Survey System (PLSS) section boundaries and serial numbers [Dataset]. https://search.dataone.org/view/afb84ad9-c957-47ef-b9ba-4022bdf97110
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    Dataset updated
    Apr 13, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Connie L. Dicken; Carma A. San Juan
    Area covered
    Variables measured
    FID, Shape, Disp_Dt, Case_Disp_, Casetype_T, Commodity_, Serial_Nr_, Shape_Area, Shape_Leng
    Description

    The polygon (vector) shapefiles represent claim areas within Public Land Survey System (PLSS) sections aggregated by serial (claim) numbers with information about Bureau of Land Management (BLM) land and mineral use authorizations for plans of operations and notices. The land areas specified by BLM authorizations vary in size and orientation, and may cross one or more PLSS section boundaries. For spatial consistency, the information was aggregated to the square mile PLSS section boundary and by serial numbers. The original source data from BLM Cases Recordation database (LR2000) were specific to the day they were generated (March 6, 2016) and subsequent data pulls will likely be different.

  12. d

    BLM LR2000 oil and gas authorizations for the Sagebrush Mineral-Resource...

    • search.dataone.org
    • data.usgs.gov
    • +2more
    Updated Apr 13, 2017
    + more versions
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    Connie L. Dicken; Carma A. San Juan (2017). BLM LR2000 oil and gas authorizations for the Sagebrush Mineral-Resource Assessment (SaMiRA) aggregated by Public Land Survey System (PLSS) section boundaries [Dataset]. https://search.dataone.org/view/7b2392f6-9b3d-4b50-81a8-e2a5934e4657
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    Dataset updated
    Apr 13, 2017
    Dataset provided by
    USGS Science Data Catalog
    Authors
    Connie L. Dicken; Carma A. San Juan
    Area covered
    Variables measured
    FID, Shape, PLSSID, Disp_Dt, FRSTDIVID, Case_Disp_, Casetype_T, PLSSID_JOI, Serial_Nr_, Shape_Area, and 1 more
    Description

    The polygon (vector) shapefiles represent Public Land Survey System (PLSS) sections, or 1-square mile areas of land, with information about Bureau of Land Management (BLM) land and mineral use authorizations for oil and gas. The land areas specified by BLM authorizations vary in size and orientation, and may cross one or more PLSS section boundaries. For spatial consistency, the information was aggregated to the square mile PLSS section boundary. The original source data from BLM Cases Recordation database (LR2000) were specific to the day they were generated (March 6, 2016) and subsequent data pulls will likely be different.

  13. Protected Areas Database

    • hub.arcgis.com
    • gis-fws.opendata.arcgis.com
    Updated Jun 23, 2023
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    U.S. Fish & Wildlife Service (2023). Protected Areas Database [Dataset]. https://hub.arcgis.com/maps/fws::protected-areas-database
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    Dataset updated
    Jun 23, 2023
    Dataset provided by
    U.S. Fish and Wildlife Servicehttp://www.fws.gov/
    Authors
    U.S. Fish & Wildlife Service
    Area covered
    Description

    The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public land and voluntarily provided private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastre Theme ( https://communities.geoplatform.gov/ngda-cadastre/ ). The PAD-US is an ongoing project with several published versions of a spatial database including areas dedicated to the preservation of biological diversity, and other natural (including extraction), recreational, or cultural uses, managed for these purposes through legal or other effective means. The database was originally designed to support biodiversity assessments; however, its scope expanded in recent years to include all open space public and nonprofit lands and waters. Most are public lands owned in fee (the owner of the property has full and irrevocable ownership of the land); however, permanent and long-term easements, leases, agreements, Congressional (e.g. 'Wilderness Area'), Executive (e.g. 'National Monument'), and administrative designations (e.g. 'Area of Critical Environmental Concern') documented in agency management plans are also included. The PAD-US strives to be a complete inventory of U.S. public land and other protected areas, compiling “best available” data provided by managing agencies and organizations. The PAD-US geodatabase maps and describes areas using thirty-six attributes and five separate feature classes representing the U.S. protected areas network: Fee (ownership parcels), Designation, Easement, Marine, Proclamation and Other Planning Boundaries. An additional Combined feature class includes the full PAD-US inventory to support data management, queries, web mapping services, and analyses. The Feature Class (FeatClass) field in the Combined layer allows users to extract data types as needed. A Federal Data Reference file geodatabase lookup table (PADUS3_0Combined_Federal_Data_References) facilitates the extraction of authoritative federal data provided or recommended by managing agencies from the Combined PAD-US inventory. This PAD-US Version 3.0 dataset includes a variety of updates from the previous Version 2.1 dataset (USGS, 2020, https://doi.org/10.5066/P92QM3NT ), achieving goals to: 1) Annually update and improve spatial data representing the federal estate for PAD-US applications; 2) Update state and local lands data as state data-steward and PAD-US Team resources allow; and 3) Automate data translation efforts to increase PAD-US update efficiency. The following list summarizes the integration of "best available" spatial data to ensure public lands and other protected areas from all jurisdictions are represented in the PAD-US (other data were transferred from PAD-US 2.1). Federal updates - The USGS remains committed to updating federal fee owned lands data and major designation changes in annual PAD-US updates, where authoritative data provided directly by managing agencies are available or alternative data sources are recommended. The following is a list of updates or revisions associated with the federal estate: 1) Major update of the Federal estate (fee ownership parcels, easement interest, and management designations where available), including authoritative data from 8 agencies: Bureau of Land Management (BLM), U.S. Census Bureau (Census Bureau), Department of Defense (DOD), U.S. Fish and Wildlife Service (FWS), National Park Service (NPS), Natural Resources Conservation Service (NRCS), U.S. Forest Service (USFS), and National Oceanic and Atmospheric Administration (NOAA). The federal theme in PAD-US is developed in close collaboration with the Federal Geographic Data Committee (FGDC) Federal Lands Working Group (FLWG, https://communities.geoplatform.gov/ngda-govunits/federal-lands-workgroup/ ). 2) Improved the representation (boundaries and attributes) of the National Park Service, U.S. Forest Service, Bureau of Land Management, and U.S. Fish and Wildlife Service lands, in collaboration with agency data-stewards, in response to feedback from the PAD-US Team and stakeholders. 3) Added a Federal Data Reference file geodatabase lookup table (PADUS3_0Combined_Federal_Data_References) to the PAD-US 3.0 geodatabase to facilitate the extraction (by Data Provider, Dataset Name, and/or Aggregator Source) of authoritative data provided directly (or recommended) by federal managing agencies from the full PAD-US inventory. A summary of the number of records (Frequency) and calculated GIS Acres (vs Documented Acres) associated with features provided by each Aggregator Source is included; however, the number of records may vary from source data as the "State Name" standard is applied to national files. The Feature Class (FeatClass) field in the table and geodatabase describe the data type to highlight overlapping features in the full inventory (e.g. Designation features often overlap Fee features) and to assist users in building queries for applications as needed. 4) Scripted the translation of the Department of Defense, Census Bureau, and Natural Resource Conservation Service source data into the PAD-US format to increase update efficiency. 5) Revised conservation measures (GAP Status Code, IUCN Category) to more accurately represent protected and conserved areas. For example, Fish and Wildlife Service (FWS) Waterfowl Production Area Wetland Easements changed from GAP Status Code 2 to 4 as spatial data currently represents the complete parcel (about 10.54 million acres primarily in North Dakota and South Dakota). Only aliquot parts of these parcels are documented under wetland easement (1.64 million acres). These acreages are provided by the U.S. Fish and Wildlife Service and are referenced in the PAD-US geodatabase Easement feature class 'Comments' field. State updates - The USGS is committed to building capacity in the state data-steward network and the PAD-US Team to increase the frequency of state land updates, as resources allow. The USGS supported efforts to significantly increase state inventory completeness with the integration of local parks data in the PAD-US 2.1, and developed a state-to-PAD-US data translation script during PAD-US 3.0 development to pilot in future updates. Additional efforts are in progress to support the technical and organizational strategies needed to increase the frequency of state updates. The PAD-US 3.0 included major updates to the following three states: 1) California - added or updated state, regional, local, and nonprofit lands data from the California Protected Areas Database (CPAD), managed by GreenInfo Network, and integrated conservation and recreation measure changes following review coordinated by the data-steward with state managing agencies. Developed a data translation Python script (see Process Step 2 Source Data Documentation) in collaboration with the data-steward to increase the accuracy and efficiency of future PAD-US updates from CPAD. 2) Virginia - added or updated state, local, and nonprofit protected areas data (and removed legacy data) from the Virginia Conservation Lands Database, provided by the Virginia Department of Conservation and Recreation's Natural Heritage Program, and integrated conservation and recreation measure changes following review by the data-steward. 3) West Virginia - added or updated state, local, and nonprofit protected areas data provided by the West Virginia University, GIS Technical Center. For more information regarding the PAD-US dataset please visit, https://www.usgs.gov/gapanalysis/PAD-US/. For more information about data aggregation please review the PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual . A version history of PAD-US updates is summarized below (See https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-history for more information): 1) First posted - April 2009 (Version 1.0 - available from the PAD-US: Team pad-us@usgs.gov). 2) Revised - May 2010 (Version 1.1 - available from the PAD-US: Team pad-us@usgs.gov). 3) Revised - April 2011 (Version 1.2 - available from the PAD-US: Team pad-us@usgs.gov). 4) Revised - November 2012 (Version 1.3) https://doi.org/10.5066/F79Z92XD 5) Revised - May 2016 (Version 1.4) https://doi.org/10.5066/F7G73BSZ 6) Revised - September 2018 (Version 2.0) https://doi.org/10.5066/P955KPLE 7) Revised - September 2020 (Version 2.1) https://doi.org/10.5066/P92QM3NT 8) Revised - January 2022 (Version 3.0) https://doi.org/10.5066/P9Q9LQ4B Comparing protected area trends between PAD-US versions is not recommended without consultation with USGS as many changes reflect improvements to agency and organization GIS systems, or conservation and recreation measure classification, rather than actual changes in protected area acquisition on the ground.

  14. d

    BLM Natl MLRS Oil and Gas Participating Areas

    • datasets.ai
    • gbp-blm-egis.hub.arcgis.com
    15, 21, 25, 3, 55, 57 +1
    Updated Aug 24, 2023
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    Department of the Interior (2023). BLM Natl MLRS Oil and Gas Participating Areas [Dataset]. https://datasets.ai/datasets/blm-natl-mlrs-oil-and-gas-participating-areas-2b244
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    21, 57, 25, 3, 8, 15, 55Available download formats
    Dataset updated
    Aug 24, 2023
    Dataset authored and provided by
    Department of the Interior
    Description

    This dataset contains oil and gas participating area cases derived from Legal Land Descriptions (LLD) contained in the US Bureau of Land Management's, BLM, Mineral and Land Record System(MLRS) and geocoded (mapped) using the Public Land Survey System (PLSS) derived from the most accurate survey data available through BLM Cadastral Survey workforce. Geospatial representations might be missing for some cases that can not be geocoded using the MLRS algorithm.

    Each case is given a data quality score based on how well it mapped. These can be lumped into seven groups to provide a simplified way to understand the scores.
    • Group 1: Direct PLSS Match. Scores “0”, “1”, “2”, “3” should all have a match to the PLSS data. There are slight differences, but the primary expectation is that these match the PLSS.
    • Group 2: Calculated PLSS Match. Scores “4”, “4.1”, “5”, “6”, “7” and “8” were generated through a process of creating the geometry that is not a direct capture from the PLSS. They represent a best guess based on the underlining PLSS
    • Group 3 – Mapped to Section. Score of “8.1”, “8.2”, “8.3”, “9” and “10” are mapped to the Section for various reasons (refer to log information in data quality field).
    • Group 4- Combination of mapped and unmapped areas. Score of 15 represents a case that has some portions that would map and others that do not.
    • Group 5 – No NLSDB Geometry, Only Attributes. Scores “11”, “12”, “20”, “21” and “22” do not have a match to the PLSS and no geometry is in the NLSDB, and only attributes exist in the data.
    • Group 6 – Mapped to County. Scores of “25” map to the County.
    • Group 7 – Improved Geometry. Scores of “100” are cases that have had their geometry edited by BLM staff using ArcGIS Pro or MLRS bulk upload tool.

  15. BLM WY Greater Sage Grouse RMPA Nonenergy Leasable Closed Hub

    • blm-gbp-lup-blm-egis.hub.arcgis.com
    Updated Nov 27, 2024
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    Bureau of Land Management (2024). BLM WY Greater Sage Grouse RMPA Nonenergy Leasable Closed Hub [Dataset]. https://blm-gbp-lup-blm-egis.hub.arcgis.com/datasets/blm-wy-greater-sage-grouse-rmpa-nonenergy-leasable-closed-hub
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    Dataset updated
    Nov 27, 2024
    Dataset authored and provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Area covered
    Description

    This feature class contains polygons for non-energy federal mineral interests closed to leasing.

    This dataset represents federal mineral status in Wyoming. This dataset is intended to represent federal mineral information on Master Title Plats (MTPs) and other land status records. The geometry of this dataset was constructed from the current version of the Cadastral National Spatial Data Infrastructure (CadNSDI) standardized PLSS for Wyoming. The types of federal mineral reservations are representative of those found on land patents issued in Wyoming.

  16. d

    Data from: Bureau of Land Management's Land and Mineral Legacy Rehost System...

    • dataone.org
    • data.usgs.gov
    • +2more
    Updated Apr 13, 2017
    + more versions
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    Connie L. Dicken; Carma A. San Juan (2017). Bureau of Land Management's Land and Mineral Legacy Rehost System (LR2000) mineral use cases for the Sagebrush Mineral-Resource Assessment, Idaho, Montana, Nevada, Oregon, Utah, and Wyoming [Dataset]. https://dataone.org/datasets/fe3feb9d-1751-4ed1-8ec4-1071033ee6cc
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    Dataset updated
    Apr 13, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Connie L. Dicken; Carma A. San Juan
    Area covered
    Description

    In 2015, approximately 10 million acres of Federal lands across six western states were proposed for withdrawal from mineral entry by the Bureau of Land Management (BLM) in order to conserve habitat critical for the greater sage-grouse. As a result, the U.S. Geological Survey (USGS) launched the Sagebrush Mineral-Resource Assessment (SaMiRA) project in late-2015 to provide BLM with an assessment of the locatable minerals and an evaluation of the leaseable and saleable minerals within the proposed withdrawal areas. BLM provided Legacy Rehost 2000 System (LR2000) spatial data to the USGS on March 6, 2016 to help identify areas containing mineral leases and claims. The LR2000 system reports BLM land and mineral-use authorizations for oil, gas, and geothermal leasing, rights-of-ways, coal and other mineral development, land and mineral title, mining claims, withdrawals, classifications, and more on federal lands or on federal mineral estate. The spatial data provided here generalize the detailed LR2000 information and related boundaries (for example, small mine claim boundaries) to a larger Public Land Survey System (PLSS) section boundary. The tabular data are summarized by PLSS section and by BLM “serial numbers” (cases). The GIS data consist of polygon vector files whose boundaries are either the PLSS square-mile sections or the PLSS sections grouped by “serial number” to potentially larger areas. The shapefiles present coal, geothermal energy, mineral materials, mining claims, non-energy solid minerals, oil and gas, and plans of operations and notices information and can be used in a geographic information system (GIS) to show the general distribution and density of these BLM land authorizations. These datasets were used in the analysis of locatable, leasable, and salable minerals for the SaMiRA mineral-resource assessment.

  17. d

    BLM Natl MLRS Geothermal Leases

    • datasets.ai
    • catalog.data.gov
    • +1more
    15, 21, 25, 3, 55, 57 +1
    Updated Aug 30, 2023
    + more versions
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    Department of the Interior (2023). BLM Natl MLRS Geothermal Leases [Dataset]. https://datasets.ai/datasets/blm-natl-mlrs-geothermal-leases-5a9ec
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    8, 3, 57, 55, 15, 25, 21Available download formats
    Dataset updated
    Aug 30, 2023
    Dataset authored and provided by
    Department of the Interior
    Description

    This dataset contains geothermal leases cases derived from Legal Land Descriptions (LLD) contained in the US Bureau of Land Management's, BLM, Mineral and Land Record System(MLRS) and geocoded (mapped) using the Public Land Survey System (PLSS) derived from the most accurate survey data available through BLM Cadastral Survey workforce. Geospatial representations might be missing for some cases that can not be geocoded using the MLRS algorithm.

    Each case is given a data quality score based on how well it mapped. These can be lumped into seven groups to provide a simplified way to understand the scores.
    • Group 1: Direct PLSS Match. Scores “0”, “1”, “2”, “3” should all have a match to the PLSS data. There are slight differences, but the primary expectation is that these match the PLSS.
    • Group 2: Calculated PLSS Match. Scores “4”, “4.1”, “5”, “6”, “7” and “8” were generated through a process of creating the geometry that is not a direct capture from the PLSS. They represent a best guess based on the underlining PLSS
    • Group 3 – Mapped to Section. Score of “8.1”, “8.2”, “8.3”, “9” and “10” are mapped to the Section for various reasons (refer to log information in data quality field).
    • Group 4- Combination of mapped and unmapped areas. Score of 15 represents a case that has some portions that would map and others that do not.
    • Group 5 – No NLSDB Geometry, Only Attributes. Scores “11”, “12”, “20”, “21” and “22” do not have a match to the PLSS and no geometry is in the NLSDB, and only attributes exist in the data.
    • Group 6 – Mapped to County. Scores of “25” map to the County.
    • Group 7 – Improved Geometry. Scores of “100” are cases that have had their geometry edited by BLM staff using ArcGIS Pro or MLRS bulk upload tool.

  18. d

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

    • search.dataone.org
    • data.wu.ac.at
    Updated Oct 26, 2017
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    US Geological Survey (USGS) Gap Analysis Program (GAP) (2017). Protected Areas Database of the United States (PAD-US) [Dataset]. https://search.dataone.org/view/0459986b-9a0e-41d9-9997-cad0fbea9c4e
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    Dataset updated
    Oct 26, 2017
    Dataset provided by
    USGS Science Data Catalog
    Authors
    US Geological Survey (USGS) Gap Analysis Program (GAP)
    Time period covered
    Jan 1, 2005 - Jan 1, 2016
    Area covered
    Variables measured
    Shape, Access, Des_Nm, Des_Tp, Loc_Ds, Loc_Nm, Agg_Src, GAPCdDt, GAP_Sts, GIS_Src, and 20 more
    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/ .

  19. BLM WY Greater Sage Grouse RMPA Salable Open Hub

    • blm-gbp-lup-blm-egis.hub.arcgis.com
    Updated Nov 27, 2024
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    Bureau of Land Management (2024). BLM WY Greater Sage Grouse RMPA Salable Open Hub [Dataset]. https://blm-gbp-lup-blm-egis.hub.arcgis.com/datasets/blm-wy-greater-sage-grouse-rmpa-salable-open-hub
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    Dataset updated
    Nov 27, 2024
    Dataset authored and provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Area covered
    Description

    This feature class contains polygons for federal salable mineral estate open to mineral material disposal in the proposed management area. These areas may be subject to additional site-specific restrictions on development to protect other resources.

    This dataset represents federal mineral status in Wyoming. This dataset is intended to represent federal mineral information on Master Title Plats (MTPs) and other land status records. The geometry of this dataset was constructed from the current version of the Cadastral National Spatial Data Infrastructure (CadNSDI) standardized PLSS for Wyoming. The types of federal mineral reservations are representative of those found on land patents issued in Wyoming.

  20. BLM Natl MLRS Land Use Authorization- Leases-Permits-Easements

    • datasets.ai
    • catalog.data.gov
    • +1more
    15, 21, 25, 3, 55, 57 +1
    Updated Nov 28, 2023
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    Department of the Interior (2023). BLM Natl MLRS Land Use Authorization- Leases-Permits-Easements [Dataset]. https://datasets.ai/datasets/blm-natl-mlrs-land-use-authorization-leases-permits-easements
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    57, 8, 3, 21, 55, 25, 15Available download formats
    Dataset updated
    Nov 28, 2023
    Dataset provided by
    United States Department of the Interiorhttp://www.doi.gov/
    Authors
    Department of the Interior
    Description

    This dataset contains land use authorization leases, permits and easement cases derived from Legal Land Descriptions (LLD) contained in the US Bureau of Land Management's, BLM, Mineral and Land Record System(MLRS) and geocoded (mapped) using the Public Land Survey System (PLSS) derived from the most accurate survey data available through BLM Cadastral Survey workforce. The minimum data entry requirement for legal description for linear authorizations is to the nearest 40 acre aliquot level (e.g.,NENW). Legal descriptions for non-linear authorizations are as described on the authorizing document. Geospatial representations might be missing for some cases that can not be geocoded using the MLRS algorithm. This data set contains cases with the dispositions of 'Authorized', 'Pending','Closed', and 'Interim'.


    Each case is given a data quality score based on how well it mapped. These can be lumped into seven groups to provide a simplified way to understand the scores.
    • Group 1: Direct PLSS Match. Scores “0”, “1”, “2”, “3” should all have a match to the PLSS data. There are slight differences, but the primary expectation is that these match the PLSS.
    • Group 2: Calculated PLSS Match. Scores “4”, “4.1”, “5”, “6”, “7” and “8” were generated through a process of creating the geometry that is not a direct capture from the PLSS. They represent a best guess based on the underlining PLSS
    • Group 3 – Mapped to Section. Score of “8.1”, “8.2”, “8.3”, “9” and “10” are mapped to the Section for various reasons (refer to log information in data quality field).
    • Group 4- Combination of mapped and unmapped areas. Score of 15 represents a case that has some portions that would map and others that do not.
    • Group 5 – No NLSDB Geometry, Only Attributes. Scores “11”, “12”, “20”, “21” and “22” do not have a match to the PLSS and no geometry is in the NLSDB, and only attributes exist in the data.
    • Group 6 – Mapped to County. Scores of “25” map to the County.
    • Group 7 – Improved Geometry. Scores of “100” are cases that have had their geometry edited by BLM staff using ArcGIS Pro or MLRS bulk upload tool.

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Bureau of Land Management (2025). BLM WY Public Land Survey System Second Division [Dataset]. https://catalog.data.gov/dataset/blm-wy-public-land-survey-system-second-division-35a13
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BLM WY Public Land Survey System Second Division

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Dataset updated
Nov 11, 2025
Dataset provided by
Bureau of Land Managementhttp://www.blm.gov/
Description

The second division of the PLSS is quarter, quarter-quarter, sixteenth or government lot division of the PLSS within the BLM Administrative State of Wyoming. The second and third divisions are combined into this feature class as an intentional de-normalization of the PLSS hierarchical data. The polygons in this feature class represent the smallest division that has been defined for the first division. In most cases the smallest division for the cadastral reference will be the sixteenth but in some cases sections have only been divided to the quarter. Divisions below the sixteenth may be included in this feature class, but in most implementations these smaller divisions will be parcels. These are not the official representations of the lines marked by the survey, please contact Wyoming Cadastral Survey.

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