11 datasets found
  1. a

    Data from: Districts

    • home-pugonline.hub.arcgis.com
    Updated Apr 5, 2022
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    The PUG User Group (2022). Districts [Dataset]. https://home-pugonline.hub.arcgis.com/maps/pugonline::districts
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    Dataset updated
    Apr 5, 2022
    Dataset authored and provided by
    The PUG User Group
    Area covered
    Description

    Tax District Boundaries: Official tax district boundary lines adopted by the WV Legislature in 1978 as a general reference to delineate rural tax district boundaries. The boundaries were drawn from 1:24,000-scale USGS topographic maps in 1978 and coincide with county magisterial districts as of July 1, 1973. Unlike magisterial districts that are realigned every ten years following the census, the tax district boundary does not follow equal representation requirements. In 1978 the West Virginia Geologic and Economical Survey published six 1:500,000-scale maps delineating official county and tax district boundary lines for the State. In 1996 the West Virginia Department of Tax and Revenue, Property Tax Division, converted the 1978 source maps into a digital format and added descriptive attributes for each tax district. In October of 2003, the WV GIS Technical Center appended 24K DLG boundary files and lines drawn from 24K DRGs into a statewide 24K Tax District Boundary dataset. In 2017, WVGISTC has appended this file with parcel data or Census Populated Places boundaries for missing tax districts.

  2. Virginia Parcels (Map Service)

    • hub.arcgis.com
    • virginiaroads.org
    Updated Feb 16, 2018
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    Virginia Department of Transportation (2018). Virginia Parcels (Map Service) [Dataset]. https://hub.arcgis.com/datasets/VDOT::virginia-parcels-map-service/about
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    Dataset updated
    Feb 16, 2018
    Dataset provided by
    Virginia Department Of Transportation
    Authors
    Virginia Department of Transportation
    Area covered
    Description

    These parcel boundaries represent legal descriptions of property ownership, as recorded in various public documents in the local jurisdiction. The boundaries are intended for cartographic use and spatial analysis only, and not for use as legal descriptions or property surveys. Tax parcel boundaries have not been edge-matched across municipal boundaries.

  3. o

    Ridgeview Lane Cross Street Data in Moundsville, WV

    • ownerly.com
    Updated Dec 17, 2021
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    Ownerly (2021). Ridgeview Lane Cross Street Data in Moundsville, WV [Dataset]. https://www.ownerly.com/wv/moundsville/ridgeview-ln-home-details
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    Dataset updated
    Dec 17, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Moundsville, Ridgeview Lane, West Virginia
    Description

    This dataset provides information about the number of properties, residents, and average property values for Ridgeview Lane cross streets in Moundsville, WV.

  4. o

    Fairview Road Cross Street Data in Point Pleasant, WV

    • ownerly.com
    Updated Jan 16, 2022
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    Fairview Road Cross Street Data in Point Pleasant, WV [Dataset]. https://www.ownerly.com/wv/point-pleasant/fairview-rd-home-details
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    Dataset updated
    Jan 16, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Point Pleasant, West Virginia
    Description

    This dataset provides information about the number of properties, residents, and average property values for Fairview Road cross streets in Point Pleasant, WV.

  5. a

    WV County Boundaries

    • hub.arcgis.com
    • data-wvdot.opendata.arcgis.com
    Updated Apr 13, 2018
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    WVDOT_Publisher (2018). WV County Boundaries [Dataset]. https://hub.arcgis.com/datasets/WVDOT::wv-county-boundaries
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    Dataset updated
    Apr 13, 2018
    Dataset authored and provided by
    WVDOT_Publisher
    Area covered
    Description

    Digitized from USGS 1:24,000-scale Digital Raster Graphics (scanned topographic maps) by the West Virginia Department of Environmental Protection. First published January 2002, updated with Census 2000 attribute data and re-published March 2005. Scale: 1:24000. Attribute Information includes Federal Information Processing Standards (FIPS) codes and 2000 Census data.Coordinate System: NAD_1983_UTM_Zone_17N

  6. Witness trees of the Monongahela National Forest: 1752-1899

    • agdatacommons.nal.usda.gov
    bin
    Updated Jan 22, 2025
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    Melissa A. Thomas-Van Gundy; Michael P. Strager (2025). Witness trees of the Monongahela National Forest: 1752-1899 [Dataset]. http://doi.org/10.2737/RDS-2014-0022
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    binAvailable download formats
    Dataset updated
    Jan 22, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    Melissa A. Thomas-Van Gundy; Michael P. Strager
    License

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

    Description

    This data publication contains a shapefile of points created from 1930s maps of the first land grants within the Monongahela National Forest (MNF) proclamation boundary. Corner or witness trees are those trees listed in a land survey to describe the survey corner for future re-establishment of the corner or property line. Witness trees listed in the deeds were added as attributes to the digital point locations. Deed dates range from 1752 to 1899. If no trees were listed in the deed to witness the corner, the corner was created in the point file, but no species was assigned. The deeds and surveys were created under the metes and bounds method of land survey common in the colonial era. The entire area was not surveyed in any systematic method as is found in the Western United States so there are areas of the MNF with no witness trees. Also included are the scanned images of the maps used to create the database of corner points. Each map covers a portion of the Monongahela National Forest, WV and includes latitude and longitude reference lines. On each map are the individual parcels of land drawn by draftsmen in the 1930s from the original deeds or grants. With each tract is the name of the grantee, the data of the deed or grant, the size of the tract of land (in acres), and a unique identification number that references the deed/grant from which the sketch was made. This data publication also includes two location maps (north and south) showing the location and area covered by the individual map sheets. The base map is a 1936 map of the Monongahela National Forest, WV produced by the USDA Forest Service.This database was developed to help characterize the forest at the time of European settlement.Original metadata date was 10/09/2014. Scanned images of the maps used to create the database of corner points were added on 09/15/2016 along with a few minor metadata updates.

    Minor metadata updates on 12/13/2016 and 09/16/2024 (which included URL updates for related articles).

  7. d

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

    • search.dataone.org
    • datadiscoverystudio.org
    • +1more
    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
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    US Geological Survey (USGS) Gap Analysis Program (GAP)
    Time period covered
    Jan 1, 2005 - Jan 1, 2016
    Area covered
    United States,
    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/ .

  8. o

    Pike Road Cross Street Data in Saint Marys, WV

    • ownerly.com
    Updated Oct 4, 2023
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    Ownerly (2023). Pike Road Cross Street Data in Saint Marys, WV [Dataset]. https://www.ownerly.com/wv/saint-marys/pike-rd-home-details
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    Dataset updated
    Oct 4, 2023
    Dataset authored and provided by
    Ownerly
    Area covered
    Saint Marys, West Virginia
    Description

    This dataset provides information about the number of properties, residents, and average property values for Pike Road cross streets in Saint Marys, WV.

  9. o

    Greenview Road Cross Street Data in South Charleston, WV

    • ownerly.com
    Updated Mar 10, 2022
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    Ownerly (2022). Greenview Road Cross Street Data in South Charleston, WV [Dataset]. https://www.ownerly.com/wv/south-charleston/greenview-rd-home-details
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    Dataset updated
    Mar 10, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    West Virginia, South Charleston, Greenview Road
    Description

    This dataset provides information about the number of properties, residents, and average property values for Greenview Road cross streets in South Charleston, WV.

  10. o

    Dylan Drive Cross Street Data in Point Pleasant, WV

    • ownerly.com
    Updated Dec 19, 2021
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    Ownerly (2021). Dylan Drive Cross Street Data in Point Pleasant, WV [Dataset]. https://www.ownerly.com/wv/point-pleasant/dylan-dr-home-details
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    Dataset updated
    Dec 19, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Dylan Drive, Point Pleasant, West Virginia
    Description

    This dataset provides information about the number of properties, residents, and average property values for Dylan Drive cross streets in Point Pleasant, WV.

  11. d

    Map showing inventory and regional susceptibility for Holocene debris flows...

    • dataone.org
    Updated Dec 1, 2016
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    Brabb, E.E.; Colgan, J.P.; Best, T.C. (2016). Map showing inventory and regional susceptibility for Holocene debris flows and related fast moving landslides in the conterminous United States: Raster data [Dataset]. https://dataone.org/datasets/5155b1e4-7324-4094-8e83-62746b62a5b0
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    Dataset updated
    Dec 1, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Brabb, E.E.; Colgan, J.P.; Best, T.C.
    Time period covered
    Jan 1, 1928 - Jan 1, 1999
    Area covered
    Pacific Ocean, North Pacific Ocean
    Variables measured
    Debris-flow susceptibility grid cell value
    Description

    Debris flows, debris avalanches, mud flows and lahars are fast-moving landslides that occur in a wide variety of environments throughout the world. They are particularly dangerous to life and property because they move quickly, destroy objects in their paths, and can strike with little warning. The purpose of this map is to show where debris flows have occurred in the conterminous United States and where these slope movements might be expected in the future.

  12. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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The PUG User Group (2022). Districts [Dataset]. https://home-pugonline.hub.arcgis.com/maps/pugonline::districts

Data from: Districts

Related Article
Explore at:
Dataset updated
Apr 5, 2022
Dataset authored and provided by
The PUG User Group
Area covered
Description

Tax District Boundaries: Official tax district boundary lines adopted by the WV Legislature in 1978 as a general reference to delineate rural tax district boundaries. The boundaries were drawn from 1:24,000-scale USGS topographic maps in 1978 and coincide with county magisterial districts as of July 1, 1973. Unlike magisterial districts that are realigned every ten years following the census, the tax district boundary does not follow equal representation requirements. In 1978 the West Virginia Geologic and Economical Survey published six 1:500,000-scale maps delineating official county and tax district boundary lines for the State. In 1996 the West Virginia Department of Tax and Revenue, Property Tax Division, converted the 1978 source maps into a digital format and added descriptive attributes for each tax district. In October of 2003, the WV GIS Technical Center appended 24K DLG boundary files and lines drawn from 24K DRGs into a statewide 24K Tax District Boundary dataset. In 2017, WVGISTC has appended this file with parcel data or Census Populated Places boundaries for missing tax districts.

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