33 datasets found
  1. Geospatial data for the Vegetation Mapping Inventory Project of Shenandoah...

    • catalog.data.gov
    Updated Jun 4, 2024
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    National Park Service (2024). Geospatial data for the Vegetation Mapping Inventory Project of Shenandoah National Park [Dataset]. https://catalog.data.gov/dataset/geospatial-data-for-the-vegetation-mapping-inventory-project-of-shenandoah-national-park
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    Dataset updated
    Jun 4, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. We followed methods in Anderson and Merrill (1998) for combining gradient layers into an “ecological land units” map (also referred to as a “biophysical units” map). Our goal was to use this information to create sampling strata that capture the range of environments observed. The Anderson and Merrill (1998) method (implemented as a set of GIS scripts by F. Biasi (2001)) builds an ecological units map by classifying and combining individual environmental gradient maps in a GIS. Maps of aspect, moisture, slope, and slope shape are reclassified and assembled to produce maps of landform units. These landform units are then combined with reclassified elevation and geologic maps to produce a final ecological land units or “ELU” map. We used these methods as a guide to building an ecological land units map for Shenandoah National Park, adapting the procedures for local conditions. Individual steps in the process and maps resulting from intermediate and final stages are described in the report.

  2. K

    Shenandoah County, Virginia Streets

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Dec 31, 2022
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    State of Virginia (2022). Shenandoah County, Virginia Streets [Dataset]. https://koordinates.com/layer/111798-shenandoah-county-virginia-streets/
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    pdf, dwg, kml, mapinfo mif, geopackage / sqlite, csv, shapefile, geodatabase, mapinfo tabAvailable download formats
    Dataset updated
    Dec 31, 2022
    Dataset authored and provided by
    State of Virginia
    Area covered
    Description

    Geospatial data about Shenandoah County, Virginia Streets. Export to CAD, GIS, PDF, CSV and access via API.

  3. v

    Shenandoah County 2011 Contours 4-ft

    • vgin.vdem.virginia.gov
    Updated May 23, 2016
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    Virginia Geographic Information Network (2016). Shenandoah County 2011 Contours 4-ft [Dataset]. https://vgin.vdem.virginia.gov/content/24150eedf66f4f1e94241361823340ee
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    Dataset updated
    May 23, 2016
    Dataset authored and provided by
    Virginia Geographic Information Network
    Area covered
    Description

    The aerial photography and creation of the subsequent contour data was executed to capture the existing ground conditions at a specific point in time for the purpose of GIS analysis. VGIN sub-contracted with the Sanborn Map Company to execute a Statewide mapping contract in the years 2009 to 2012. The 4 foot contours were produced as part of the 2011 orthophotography update cycle of the Virginia Geographic Information Network's (VGIN) Virginia Base Mapping Program (VBMP). Contours were provided to jurisdictions who chose to use the upgrade option for contour generation. The contours are provided in File Geodatabase format.

  4. a

    Conservation Lands within South Fork Shenandoah Watershed

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Apr 5, 2019
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    U.S. Fish & Wildlife Service (2019). Conservation Lands within South Fork Shenandoah Watershed [Dataset]. https://hub.arcgis.com/datasets/2fe7a29e4c8d412ba6c9d7f465ea634d
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    Dataset updated
    Apr 5, 2019
    Dataset authored and provided by
    U.S. Fish & Wildlife Service
    Area covered
    Description

    This dataset is a subset of the Conservation Lands Database described below. It was clipped to the South Fork Shenandoah watershed for purposes of visual display. This dataset contains the boundaries for lands of conservation and recreational interest in Virginia. The Conservation Lands Database is constantly being edited and updated. Historic easements are held by the Virginia Board of Historic Resources and administered by the Virginia department of Historic Resources. Data is released to the public quarterly and posted to the download section of the website: http://www.dcr.virginia.gov/natural_heritage/cldownload.shtml

  5. K

    Shenandoah County, Virginia Driveways

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Dec 31, 2022
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    State of Virginia (2022). Shenandoah County, Virginia Driveways [Dataset]. https://koordinates.com/layer/111799-shenandoah-county-virginia-driveways/
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    dwg, geopackage / sqlite, geodatabase, mapinfo mif, mapinfo tab, kml, shapefile, csv, pdfAvailable download formats
    Dataset updated
    Dec 31, 2022
    Dataset authored and provided by
    State of Virginia
    Area covered
    Description

    Geospatial data about Shenandoah County, Virginia Driveways. Export to CAD, GIS, PDF, CSV and access via API.

  6. K

    Shenandoah County, Virginia Addresses

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Dec 31, 2022
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    State of Virginia (2022). Shenandoah County, Virginia Addresses [Dataset]. https://koordinates.com/layer/111797-shenandoah-county-virginia-addresses/
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    pdf, mapinfo mif, geodatabase, csv, dwg, geopackage / sqlite, kml, shapefile, mapinfo tabAvailable download formats
    Dataset updated
    Dec 31, 2022
    Dataset authored and provided by
    State of Virginia
    Area covered
    Description

    Geospatial data about Shenandoah County, Virginia Addresses. Export to CAD, GIS, PDF, CSV and access via API.

  7. d

    Physical Habitat Characteristics on the South Fork Shenandoah River, VA in...

    • catalog.data.gov
    • search.dataone.org
    • +1more
    Updated Nov 1, 2024
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    U.S. Geological Survey (2024). Physical Habitat Characteristics on the South Fork Shenandoah River, VA in 2006-2007 [Dataset]. https://catalog.data.gov/dataset/physical-habitat-characteristics-on-the-south-fork-shenandoah-river-va-in-2006-2007
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    Dataset updated
    Nov 1, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    South Fork Shenandoah River
    Description

    Data collected with the GeoXT Trimble GPS unit using ArcPad 6.1. (summer 2006-2007). Files were created within a geodatabase to create a data dictionary for use in ArcPad during data collection. Drop down lists for habitat type, substrate, depth, width, length, and descriptions were included. Data files produced on theGeoXT were point shapefiles that could be checked back into the geodatabase and viewable as a layer. Points were gathered while canoeing along the South Fork Shenandoah River. Each location marked a change in meso-scale habitat type. GPS points were supplemented with GIS-derived points in areas where manual measurements were made. The points were used to generate a line coverage. This coverage represents physical habitat at a meso-scale (width of stream).

  8. d

    Jupyter Notebooks to demonstrate RHESsys model on Paine run of Shenandoah...

    • search.dataone.org
    • hydroshare.org
    Updated Apr 15, 2022
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    YOUNG-DON CHOI (2022). Jupyter Notebooks to demonstrate RHESsys model on Paine run of Shenandoah National Park in Rivanna HPC [Dataset]. https://search.dataone.org/view/sha256%3Ae9904934a4b724690e1ad9ab340a364ce6cf83c439abe4046765cf10972ba32c
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    Dataset updated
    Apr 15, 2022
    Dataset provided by
    Hydroshare
    Authors
    YOUNG-DON CHOI
    Description

    Hydrologic models are growing in complexity: spatial representations, model coupling, process representations, software structure, etc. New and emerging datasets are growing, supporting even more detailed modeling use cases. This complexity is leading to the reproducibility crisis in hydrologic modeling and analysis. We argue that moving hydrologic modeling to the cloud can help to address this reproducibility crisis. - We create two notebooks: 1. The first notebook demonstrates the process of collecting and manipulating GIS and Time-series data using GRASS GIS, Python and R to create RHESsys Model input. 2. The second notebook demonstrates the process of model compilation, parallel simulation, and visualization.

    • The first notebook includes:

      1. Create Project Directory and Download Raw GIS Data from HydroShare
      2. Set GRASS Database and GISBASE Environment
      3. Preprocessing GIS Data for RHESsys Model using GRASS GIS and R script
      4. Preprocess Time series data for RHESsys Model
      5. Construct worldfile and flowtable to RHESSys
    • The second notebook includes:

      1. Download and compile RHESsys Execution file
      2. Simulate RHESsys model
      3. Plotting RHESsys output
  9. a

    Major Rivers in South Fork Shenandoah Watershed

    • hub.arcgis.com
    • gis-fws.opendata.arcgis.com
    Updated Apr 5, 2019
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    U.S. Fish & Wildlife Service (2019). Major Rivers in South Fork Shenandoah Watershed [Dataset]. https://hub.arcgis.com/maps/75ea745502af4d408c2cc0994b886a8a_0/explore
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    Dataset updated
    Apr 5, 2019
    Dataset authored and provided by
    U.S. Fish & Wildlife Service
    Area covered
    Description

    Layer was created as subset of National Hydrography Dataset (NHD) to show North River, Middle River, Christians Creek, South River, South Fork Shenandoah River, Shenandoah River (within the South Fork Shenandoah River watershed). More information about the NHD below.The NHD is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee.

  10. d

    Data from: Physical Habitat Characteristics on the North and South Forks of...

    • catalog.data.gov
    • search.dataone.org
    • +2more
    Updated Nov 30, 2024
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    U.S. Geological Survey (2024). Physical Habitat Characteristics on the North and South Forks of the Shenandoah River, VA in 2002-2007 [Dataset]. https://catalog.data.gov/dataset/physical-habitat-characteristics-on-the-north-and-south-forks-of-the-shenandoah-river-2002
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    Dataset updated
    Nov 30, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Shenandoah River
    Description

    The layers within this geodataset describe physical habitat characteristics in the North and South Fork Shenandoah rivers. They represent conditions during summer low-flow periods when canoeing was possible.The data are derived from GPS field surveys and GIS editing to complete habitat units around islands or river bends.

  11. d

    Jupyter Notebook for RHESsys model in the Paine Run subwatershed of...

    • search.dataone.org
    • hydroshare.org
    • +1more
    Updated Apr 15, 2022
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    YOUNG-DON CHOI (2022). Jupyter Notebook for RHESsys model in the Paine Run subwatershed of Shenandoah National Park on UVA Rivanna [Dataset]. https://search.dataone.org/view/sha256%3A0d46fc18f77a05543131ada1af83f0e5ae5b52c2ec732c4f6c9b7d7023cbdac6
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    Dataset updated
    Apr 15, 2022
    Dataset provided by
    Hydroshare
    Authors
    YOUNG-DON CHOI
    Area covered
    Description

    This Jupyter Notebook created by Laurence lin and Young-Don Choi to simulate the Paine Run subwatershed (12.7 km2) of Shenandoah National Park. This notebook shows how to create RHESssys input using grass GIS from GIS data, simulate RHESsys Model and visualize the output of RHESsys model.

  12. c

    Physical Habitat Characteristics on the North Fork Shenandoah River, VA in...

    • s.cnmilf.com
    • data.usgs.gov
    • +2more
    Updated Nov 1, 2024
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    U.S. Geological Survey (2024). Physical Habitat Characteristics on the North Fork Shenandoah River, VA in 2002-2003 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/physical-habitat-characteristics-on-the-north-fork-shenandoah-river-va-in-2002-2003
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    Dataset updated
    Nov 1, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    North Fork Shenandoah River
    Description

    This dataset was collected with a PLGR government-issue GPS, and through manual measurement in the field. Points were gathered while canoeing along the North Fork Shenandoah River. Each _location marked a change in meso-scale habitat type. GPS points were supplemented with GIS-derived points in areas where manual measurements were made. The points were used to generate a line coverage. This coverage represents physical habitat at a meso-scale (width of stream).

  13. d

    Open File Report, Preliminary geologic map of the Mountain Falls Quadrangle,...

    • datadiscoverystudio.org
    • data.wu.ac.at
    pdf
    Updated Jan 1, 1995
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    McDowell, R.C. (1995). Open File Report, Preliminary geologic map of the Mountain Falls Quadrangle, Frederick and Shenandoah Counties, Virginia, and Hampshire County, West Virginia; USGS OF-95-620 [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/f98e747bc24b4c079a4c23ad9787e18e/html
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    pdfAvailable download formats
    Dataset updated
    Jan 1, 1995
    Authors
    McDowell, R.C.
    Area covered
    Description

    Geologic map of the Mountain Falls Quadrangle, Frederick and Shenandoah Counties, Virginia, and Hampshire County, West Virginia. GIS files available for this geologic map. The base maps for this series were developed from U.S. Geological Survey topographic 7.5-minute quadrangle maps (1:24,000 scale). Contour interval is in feet. For more information on this resource or to download the map PDF, please see the links provided.

  14. a

    Roots Run Deep Frederick County

    • conservation-abra.hub.arcgis.com
    Updated Apr 11, 2023
    + more versions
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    Allegheny-Blue Ridge Alliance (2023). Roots Run Deep Frederick County [Dataset]. https://conservation-abra.hub.arcgis.com/datasets/roots-run-deep-frederick-county
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    Dataset updated
    Apr 11, 2023
    Dataset authored and provided by
    Allegheny-Blue Ridge Alliance
    Area covered
    Description

    This feature layer displays locations and information about sites of African-American historical and cultural significance in Frederick County, Virginia. These sites are part of Shenandoah Valley Black Heritage Project's (SVBHP) Roots Run Deep Driving and Walking Tours.Much of the African American history in the Shenandoah Valley has perished. Historic churches, schools, business, and homes were erased due to the 1960s Urban Renewal efforts. Early communities lost their homes and financial stability due to unjust laws and economic despair that impacted African American communities. Many of the locations on this tour are not active, are now on private property, are no longer standing and/or the original structures that have undergone major renovations. Our tours reflect these losses.Purpose:The Roots Run Deep tours aim to educate the public, locals and tourists alike, of the existence and cultural impact of African American communities throughout the Shenandoah Valley. In addition, Shenandoah Valley Black Heritage Project hopes to preserve and protect historical sites, burial grounds, churches and communities from destruction associated with careless or uncaring development.Source:Data for the Roots Run Deep tours was collected by Shenandoah Valley Black Heritage Project staff, as well as contracted community researchers and volunteers. Special thanks to researchers and contributors Maral Kalbian and Melanie Garvey for their work researching and creating the Frederick County Roots Run Deep tour, local historian Dorothy Davis for her consultation, Taya Whitley, John Hisghman, Monica Robinson and Robin Lyttle for their assistance. Photos courtesy of Maral Kalbia, Melanie Garvey, and Robin Lyttle. Aerial map images from Apple Maps.Processing:Data was compiled by SVBHP and published as hard-copy maps and tour guides. Allegheny-Blue Ridge Alliance ingested the location data, imagery and narrative from these documents to create geodatabase layers of the driving and walking tour sites. These geodatabase layers were published to ArcGIS Online as feature layers. Images were uploaded as attachments to the feature layers.Symbolization:Cemetery: White circle with blue headstoneChurch: Blue location marker with white church structureCivic: White circle with blue gavelCommunity Center: White circle with blue school buildingCommercial: White circle with blue shopping cartCultural: White circle with blue "theater faces"Farm: White circle with blue barn and siloHome: White circle with blue houseIndustrial: Black point markerLandmark: White circle with blue cameraLocation; Community: Blue XMuseum: White circle with blue Greek columnPark: White circle with green evergreen treePublic Space: White circle with blue tentRestaurant: White circle with blue fork and knifeSchool: Blue location marker with white school buildingSocial Org.: White circle with grouped person icons

  15. A

    Shenandoah River Wastewater Ratio

    • data.amerigeoss.org
    esri rest, html
    Updated Apr 8, 2019
    + more versions
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    AmeriGEO ArcGIS (2019). Shenandoah River Wastewater Ratio [Dataset]. https://data.amerigeoss.org/sk/dataset/shenandoah-river-wastewater-ratio
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    html, esri restAvailable download formats
    Dataset updated
    Apr 8, 2019
    Dataset provided by
    AmeriGEO ArcGIS
    Area covered
    Shenandoah River
    Description

    De facto wastewater reuse from Waste Water Treatment Facilities (WWTF) has the potential to be a significant contributor of Endocrine Disrupting Chemicals. An ArcGIS model of WWTFs, NHDPlus Version 2 stream networks (USGS and EPA 2012), and gage stations across the Shenandoah River watershed was created to calculate accumulated wastewater ratio and Predicted Environmental Concentrations(PECs)of select constituents. Virginia and West Virginia Pollutant Discharge Elimination System (VPDES, WVPDES) discharge facilities, outfall locations, and stream gages were spatially joined to the nearest river segment. Wastewater inputs from outfall locations were summarized by river segment COMIDs (Common identifier). All wastewater discharge facility locations were verified with United States Environmental Protection Agency (EPA) Facility Registry Service. WWTFs were categorized as industrial or municipal based on the type of permit they were granted. Accumulated wastewater, accumulated wastewater ratio and PECs were calculated using a python script. Maximum facility-capacity permitted wastewater discharge and 2015 average-annual wastewater discharge were used to calculate accumulated wastewater ratios for mean-annual and mean-August streamflow conditions. PEC were only calculated for mean-annual streamflow and 2015 average-annual municipal discharges.

  16. Virginia Springs/Groundwater Layers - 2023

    • opendata.winchesterva.gov
    • data.virginia.gov
    • +2more
    Updated Oct 23, 2024
    + more versions
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    Virginia State Data (2024). Virginia Springs/Groundwater Layers - 2023 [Dataset]. https://opendata.winchesterva.gov/dataset/virginia-springs-groundwater-layers-2023
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    html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Oct 23, 2024
    Dataset provided by
    Virginia Department of Environmental Qualityhttps://deq.virginia.gov/
    Authors
    Virginia State Data
    Area covered
    Hot Springs
    Description
    The VDEQ Spring SITES database contains data describing the geographic locations and site attributes of natural springs throughout the commonwealth. This data coverage continues to evolve and contains only spring locations known to exist with a reasonable degree of certainty on the date of publication. The dataset does not replace site specific inventorying or receptor surveys but can be used as a starting point. VDEQ's initial geospatial dataset of approximately 325 springs was formed in 2008 by digitizing historical spring information sheets created by State Water Control Board geologists in the 1970s through early 1990s. Additional data has been consolidated from the EPA STORET database, the U.S. Geological Survey's Ground Water Site Inventory (GWSI) and Geographic Names Inventory System (GNIS), the Virginia Department of Health SDWIS database, the Virginia DEQ Virginia Water Use Data Set (VWUDS), the Commonwealth of Virginia Division of Water Resources and Power Bulletin No. 1: "Springs of Virginia" by Collins et al., 1930 as well as several VDWR&P Surface Water Supply bulletins from the 1940's - 1950's. A 1992 Virginia Department of Game and Inland Fisheries / Virginia Tech sponsored study by Helfrich et al. titled "Evaluation of the Natural Springs of Virginia: Fisheries Management Implications", a 2004 Rockbridge County groundwater resources report written by Frits van der Leeden, and several smaller datasets from consultants and citizens were evaluated and added to the database when confidence in locational accuracy was high or could be verified with aerial or LIDAR imagery. Significant contributions have been made throughout the years by VDEQ Groundwater Characterization staff site visits as well as other geologists working in the region including: Matt Heller at Virginia Division of Geology and Mineral Resources (VDMME), Wil Orndorff at the Virginia Department of Conservation and Recreation Karst Program (VDCR), and David Nelms and Dan Doctor of the U.S. Geological Survey (USGS). Substantial effort has been made to improve locational accuracy and remove duplication present between data sources. Hundreds of spring locations that were originally obtained using topographic maps or unknown methods were updated to sub-meter locational accuracy using post-processed differential GPS (PPGPS) and through the use of several generations of aerial imagery (2002-2017) obtained from Virginia's Geographic Information Network (VGIN) and 1-meter LIDAR, where available. Scores of new spring locations were also obtained by systematic quadrangle by quadrangle analysis in areas of the Shenandoah Valley where 1-meter LIDAR datasets where obtained from the U.S. Geological Survey. Future improvements to the dataset will result when statewide 1-meter LIDAR datasets becomes available and through continued field work by DEQ staff and other contributors working in the region. Please do not hesitate to contact the author to correct mistakes or to contribute to the database.

    The VDEQ Spring FIELD MEASUREMENTS database contains data describing field derived physio-chemical properties of spring discharges measured throughout the Commonwealth of Virginia. Field visits compiled in this dataset were performed from 1928 to 2019 by geologists with the State Water Control Board, the Virginia Division of Water and Power, the Virginia Department of Environmental Quality, and the U.S. Geological Survey with contributions from other sources as noted. Values of -9999 indicate that measurements were not performed for the referenced parameter. Please do not hesitate to contact the author to add data to the database or correct errors.


    The VDEQ_Spring_WQ database is a geodatabase containing groundwater sample information collected from springs throughout Virginia. Sample specific information include: location and site information, measured field parameters, and lab verified quantifications of major ionic concentrations, trace element concentrations, nutrient concentrations, and radiological data. The VDEQ_Spring_WQ database is a subset of the VDEQ GWCHEM database which is a flat-file geodatabase containing groundwater sample information from groundwater wells and springs throughout Virginia. Sample information has been correlated via DEQ Well # and projected using coordinates in VDEQ_Spring_SITES database. The GWCHEM database is comprised of historic groundwater sample data originally archived in the United States Geological Survey (USGS) National Water Information System (NWIS) and the Environmental Protection Agency (EPA) Storage and Retrieval (STORET) data warehouse. Archived STORET data originated as groundwater sample data collected and uploaded by Virginia State Water Control Board Personnel. While groundwater sample data in the STORET data warehouse are static, new groundwater sample data are periodically uploaded to NWIS and spring laboratory WQ data reflect NWIS downloaded on 9/30/2019. Recent groundwater sample data collected by Virginia Department of Environmental Quality (DEQ) personnel as part of the Ambient Groundwater Sampling Program are entered into the database as lab results are made available by the Division of Consolidated Laboratory Services (DCLS). When possible, charge balances were calculated for samples with reported values for major ions including (at a minimum) calcium, magnesium, potassium, sodium, bicarbonate, chloride, and sulfate. Reported values for Nitrate as N, carbonate, and fluoride were included in the charge balance calculation when available. Field determined values for bicarbonate and carbonate were used in the charge balance calculation when available. For much of the legacy DEQ groundwater sample data, bicarbonate values were derived from lab reported values of alkalinity (as mg/CaCO3) under the assumption that there was no contribution by carbonate to the reported alkalinity value. Charge balance values are reported in the "Charge Balance" column of the GWCHEM geodatabase. The closer the charge balance value is to unity (1), the lower the assumed charge balance error.In order to preserve the numerical capabilities of the database, non- numeric lab qualifiers were given the following numeric identifiers:- (minus sign) = less than the concentration specified to the right of the sign-11110 = estimated-22220 = presence verified but not quantified-33330 = radchem non-detect, below sslc-4440 = analyzed for but not detected-55550 = greater than the concentration to the right of the zero-66660 = sample held beyond normal holding time-77770 = quality control failure. Data not valid.-88880 = sample held beyond normal holding time. Sample analyzed for but not detected. Value stored is limit of detection for proces in use.-11120 = Value reported is less than the criteria of detection.-9999 = no data (parameter not quantified)

    A more in depth descprition and hydrogeologic analysis of the database can be found here
    An in Depth data fact sheet can be found here
  17. d

    Detailed geologic mapping geodatabase for the Blue Ridge Parkway in Virginia...

    • catalog.data.gov
    • datadiscoverystudio.org
    • +1more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Detailed geologic mapping geodatabase for the Blue Ridge Parkway in Virginia [Dataset]. https://catalog.data.gov/dataset/detailed-geologic-mapping-geodatabase-for-the-blue-ridge-parkway-in-virginia
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Blue Ridge Parkway, Virginia
    Description

    The US Geological Survey, in cooperation with the National Park Service, mapped 35 7.5-minute quadrangles, within a 2-mile-wide+ corridor centered on the Parkway, from BLRI (Blue Ridge Parkway) Mile Post (MP) 0 near Afton, Virginia southward to MP 218 at Cumberland Knob, approximately 1.3 km south of the Virginia – North Carolina State Line. Detailed bedrock geologic mapping for this project was conducted at 1:24,000-scale by systematically traversing roads, trails, creeks, and ridges within and adjacent to the 2-mile-wide+ corridor along the 216.9-mile length of the BLRI in Virginia. Geologic data at more than 23,000 station points were collected during this project (September 2009 – February 2014), with approximately 19,500 included in the accompanying database. Station point geologic data collected included lithology, structural measurements (bedding, foliations, folds, lineations, etc), mineral resource information, and other important geologic observations. Station points at the start of this project (September 2009) were located in the field using topographic reckoning; after May 2012 stations were located using Topo Maps (latest version 1.12.1) for Apple IPad 2, model MC744LL/A. Since the start of the project, station point geologic data and locational metadata were recorded both in analog (field notebook and topographic field sheets) and digitally in ESRI ArcGIS (latest version ArcMAP 10.1). Station point geologic data were used to identify major map units, construct contact lines between map units, identify the nature of those contacts (igneous, stratigraphic or structural), determine contact convention control (exact – located in field to within 15 meters; approximate – located to within 60 meters; inferred – located greater than 60 meters), trace structural elements (faults, fold axes, etc) across the project area, and determine fault orientation and kinematics. Geologic line work was initially drafted in the field during the course of systematic detailed mapping; line editing occurred during office compilation in Adobe Illustrator (latest version CS 4). Final editing occurred during conversion and compilation of Illustrator line work into the ArcGIS database, where it was merged with station point geologic data. Station point geologic data, contacts and faults from previous work in the BLRI corridor were evaluated for compilation and synthesis in the BLRI mapping project. Station point geologic data compiled from previous work are referenced and marked with a “C” in the database. Compiled line work is also clearly tagged and referenced. The BLRI cuts at an oblique angle nearly the entire width of the Blue Ridge Geologic Province in Virginia. Thus, the geology varies significantly along it’s along its 216-mile traverse. North of Roanoke (BLRI MP 115), the Blue Ridge is defined as an orogen-scale, northwest-vergent, northeast-plunging reclined anticlinorium, and from its start at MP 0 near Afton, Virginia, southward to Roanoke, the BLRI traverses the western limb of this structure. Here, rocks range in age from Mesoproterozoic to Cambrian: Mesoproterozoic orthogneisses and metamorphosed granitoid rocks of the Shenandoah massif comprise “basement” to Neoproterozoic to Cambrian mildy- to non-metamorphosed to sedimentary “cover” rocks; the BLRI crisscrosses in many places the contact between cover and basement. Mesoproterozoic basement rocks in the Shenandoah massif represent the original crust of the Laurentian (ancestral North American) continent; sedimentary cover rocks were deposited directly on this crust during extension and breakup of the Rodinian supercontinent in the Neoproterozoic to earliest Cambrian. Very locally, diabase dikes of earliest Jurassic age intrude older basement and cover sequences. These dikes were emplaced in the Blue Ridge during continental extension (rifting) and the opening of the Atlantic Ocean in the Mesozoic Era. From MP 103.3 to MP 110.3 near Roanoke, the BLRI crosses into and out of a part of the Valley and Ridge Geologic Province. Unmetamorphosed sedimentary rocks of Cambrian to Ordovician age – mostly shale, siltstone and carbonate – occur here. These rocks were deposited in a terrestrial to shallow marine environment on the Laurentian continental margin, after extensional breakup of Rodinian supercontinent in the Neoproterozoic and earliest Cambrian, but before mid- to late-Paleozoic orogenesis. South of Roanoke, the Blue Ridge Geologic Province quickly transitions from an anticlinorium to a stack of imbricated thrust sheets. After crossing the southern end of the Shenandoah Mesoproterozoic basement massif (MP 124.1 to MP 144.4), the BLRI enters the eastern Blue Ridge province, a fault-bounded geologic terrane comprised of high-metamorphic-grade sedimentary and volcanic rocks deposited east of the Laurentian continental margin from the Neoproterozoic to early Paleozoic. These rocks were significantly metamorphosed, deformed, and transported westward onto the Laurentian margin along major orogenic faults during Paleozoic orogenesis. Sixty bedrock map units underlie the BLRI in Virginia. These units consist of one or more distinguishing lithologies (rock types), and are grouped into formal and informal hierarchal frameworks based on age, stratigraphy (formations-groups), and tectonogenesis. Many of these units exhibit characteristics and field relationships that are critical to our understanding of Appalachian orogenesis. Most of these units are named based on the dominant occurring lithology; other units follow formal nomenclature, some of which was developed and has been used for more than 100 years. Oldest rocks occurring along the BLRI corridor are Mesoproterozoic orthopyroxene-bearing basement rocks of the Shenandoah massif, in the core of the Blue Ridge anticlinorium. Preliminary SHRIMP U-Pb zircon geochronology (J. N. Aleinikoff, this study) shows that these rocks can be grouped based on crystallization ages: Group I (~1.2 to 1.14 Ga) are strongly foliated orthogneisses and Group II (~1.06 to 1.0 Ga) are less deformed metagranitoids. Group I orthogneisses, which occur discontinuously from near Irish Gap (MP 37) to Cahas Overlook (MP 139), comprise 10 map units: leucogranitic gneiss (Yllg); megacrystic quartz-monzonitic gneiss (Yqg); granitic gneiss (Yg); lineated granitoid gneiss (Ylgg); garnetiferous leucogneiss (Yglg); Sandy Creek gneiss (Ysg); porphyroblastic garnet-biotite leucogranitic gneiss (Ygtg); dioritic gneiss (Ydg); Pilot gneiss (Ypg); and megacrystic granodioritic gneiss (Ygg). Group II metagranitoids, which are first encountered along the BLRI at Reeds Gap (MP 14) and occur discontinuously to Roanoke River Overlook (MP 115), comprise 8 map units: megacrystic meta-quartz monzonitoid (Yqm); massive metagranitoid (Ymgm); megacrystic metagranitoid (Ypgm); mesocratic porphyritic metagranitoid (Ygpm); metagranodioritoid (Ygdm); Vesuvius megaporphyritic metagranitoid (Yvm); quartz-feldspar leucogranitoid (Yqfm); and Peaks of Otter metagranitoid (Ypom). An additional relatively undeformed metagranitoid with a preliminary SHRIMP U-Pb zircon age of ~1.12 Ga is assigned to the Bottom Creek Suite (Ybcm), and well layered migmatitic gneiss (Ymg) near Irish Gap (MP 37) has a a preliminary SHRIMP U-Pb zircon age of ~1.05 Ga. Other rocks of Mesoproterozoic age include orthogneisses in the Fries thrust sheet between MP 139 and MP 144.5 that range in age from ~1.19 to ~1.07 Ga: biotite-muscovite leucogneiss (Ymlg); biotite granitic augen gneiss (Ybgg); blue-quartz gneiss (Ybqg); and biotite leucogneiss (Yblg). Latest Mesoproterozoic rocks include paragneiss and pegmatite (Yprg) near Porters Mountain Overlook (MP 90), and a suite of igneous intrusive nelsonites and jotunites (Yjn). Two units, foliated metagreenstone (Zdm) and foliated metagranitoid (Zgm), locally intrude older Mesoproterozoic rocks in the core of the Blue Ridge anticlinorium. Metagreenstone is fine-grained and mafic in composition, and occur as narrow dikes and sills; metagranitoid is medium-grained and generally felsic in composition, and intrude basement rocks as small plutons, stocks, and a few narrow dikes. On the west limb of the Blue Ridge anticlinorium, metamorphosed sedimentary and volcanic rocks of Neoproterozoic to Cambrian age crop out discontinuously along the BLRI from near Afton (MP 0) to MP 103.3, in the vicinity Roanoke Mountain (MP 120 to MP 124), to near Adney Gap (MP 136). These rocks are assigned to a formal stratigraphic sequence: Swift Run Formation; Catoctin Formation; Chilhowee Group. Metasedimentary and meta-igneous rocks of lower Paleozoic (?) to Neoproterozoic age are assigned to the Alligator Back Formation, Lynchburg Group, and Ashe Formation. These units crop out southeast of the Red Valley fault from MP 144.5 southwestward to the North Carolina–Virginia State Line at Mile Post 216.9. Rocks assigned to the Alligator Back crop out in the Blue Ridge Parkway corridor from Mile Post 174.5 southward to the North Carolina–Virginia State Line: compositional-layered biotite-muscovite gneiss (abg); garnet-biotite-muscovite-quartz schist (abs); quartzite and quartz-rich metasandstone (abq); and marble (abm). The following lithologic map units along the BLRI corridor are correlated with Lynchburg Group formations: graphitic schist (lgs), muscovite-biotite metagraywacke (lmg), and graphite-muscovite-quartz metasandstone (lms). These rocks crop out between the Red Valley fault (Mile Post 144.5) and the Rock Castle Creek fault (Mile Post 174.5). Coarse-grained- to conglomeratic metagraywacke (acm), underlying Lynchburg Group rocks west of the Rock Castle Creek fault in the vicinity of Rakes Millpond (MP 162.3) and Rocky Knob Visitors Center (MP 169), are considered to be the lower metamorphic grade-equivalent of the higher metamorphic-grade Ashe Formation at its type section in northwestern North Carolina. Five meta-igneous lithologic map units

  18. a

    Counties overlapping SFSR watershed

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Apr 5, 2019
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    U.S. Fish & Wildlife Service (2019). Counties overlapping SFSR watershed [Dataset]. https://hub.arcgis.com/datasets/7810062977a041b787d6ff3491305a4a
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    Dataset updated
    Apr 5, 2019
    Dataset authored and provided by
    U.S. Fish & Wildlife Service
    Area covered
    Description

    This dataset shows the counties that overlap the South Fork Shenandoah watershed to provide context for the locations of DuPont Natural Resource Damage Assessment and Restoration (NRDAR) restoration projects. The dataset was created as a geographic representation and should not be used for legal purposes or to show precise locations. It was created from U.S. Census data (tlgdb_2018_a_51_va.gdb).

  19. a

    NSVRC Airports

    • hub.arcgis.com
    Updated Oct 21, 2014
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    Northern Shenandoah Valley Regional Commission (2014). NSVRC Airports [Dataset]. https://hub.arcgis.com/datasets/d1ee1267829540aebcfbc8693b3c8d28
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    Dataset updated
    Oct 21, 2014
    Dataset authored and provided by
    Northern Shenandoah Valley Regional Commission
    Area covered
    Description

    Airports in the Northern Shenandoah Valley

  20. a

    Air-water Temperature Data for the Study of Groundwater Influence on Stream...

    • chesapeake-bay-program-hub-template-chesbay.hub.arcgis.com
    • hamhanding-dcdev.opendata.arcgis.com
    Updated Dec 13, 2024
    + more versions
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    Chesapeake Geoplatform (2024). Air-water Temperature Data for the Study of Groundwater Influence on Stream Thermal Regimes in Shenandoah National Park, Virginia [Dataset]. https://chesapeake-bay-program-hub-template-chesbay.hub.arcgis.com/datasets/air-water-temperature-data-for-the-study-of-groundwater-influence-on-stream-thermal-regimes-in-shenandoah-national-park-virginia-1
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    Dataset updated
    Dec 13, 2024
    Dataset authored and provided by
    Chesapeake Geoplatform
    Description

    Open the Data Resource: https://doi.org/10.5066/F7B56H72 This database contains hourly water and air temperature data from 120 site locations within 17 watersheds in Shenandoah National Park, Virginia, measured between June 23, 2012, and October 25, 2016. The database includes three separate table files (i.e, entities) in .csv format:

    Water temperature data, Air temperature data, and Site location data.

    All temperature data were collected using HOBO Pro V2 thermographs (accuracy = 0.2 degrees Celsius, drift = 0.1 degrees Celsius per year). These raw data were summarized to mean daily air and water temperatures for the analysis used in Johnson et al.

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National Park Service (2024). Geospatial data for the Vegetation Mapping Inventory Project of Shenandoah National Park [Dataset]. https://catalog.data.gov/dataset/geospatial-data-for-the-vegetation-mapping-inventory-project-of-shenandoah-national-park
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Geospatial data for the Vegetation Mapping Inventory Project of Shenandoah National Park

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Dataset updated
Jun 4, 2024
Dataset provided by
National Park Servicehttp://www.nps.gov/
Description

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. We followed methods in Anderson and Merrill (1998) for combining gradient layers into an “ecological land units” map (also referred to as a “biophysical units” map). Our goal was to use this information to create sampling strata that capture the range of environments observed. The Anderson and Merrill (1998) method (implemented as a set of GIS scripts by F. Biasi (2001)) builds an ecological units map by classifying and combining individual environmental gradient maps in a GIS. Maps of aspect, moisture, slope, and slope shape are reclassified and assembled to produce maps of landform units. These landform units are then combined with reclassified elevation and geologic maps to produce a final ecological land units or “ELU” map. We used these methods as a guide to building an ecological land units map for Shenandoah National Park, adapting the procedures for local conditions. Individual steps in the process and maps resulting from intermediate and final stages are described in the report.

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