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These vector contour lines are derived from the 3D Elevation Program using automated and semi-automated processes. They were created to support 1:24,000-scale CONUS and Hawaii, 1:25,000-scale Alaska, and 1:20,000-scale Puerto Rico / US Virgin Island topographic map products, but are also published in this GIS vector format. Contour intervals are assigned by 7.5-minute quadrangle, so this vector dataset is not visually seamless across quadrangle boundaries. The vector lines have elevation attributes (in feet above mean sea level on NAVD88), but this dataset does not carry line symbols or annotation.
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These vector contour lines are derived from the 3D Elevation Program using automated and semi-automated processes. They were created to support 1:24,000-scale CONUS and Hawaii, 1:25,000-scale Alaska, and 1:20,000-scale Puerto Rico / US Virgin Island topographic map products, but are also published in this GIS vector format. Contour intervals are assigned by 7.5-minute quadrangle, so this vector dataset is not visually seamless across quadrangle boundaries. The vector lines have elevation attributes (in feet above mean sea level on NAVD88), but this dataset does not carry line symbols or annotation.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Groundwater quality data for 472 domestic well-water samples were retrieved from the USGS National Water Information System (NWIS) database and combined with descriptive information on the sampled well locations. The NWIS data for a sample, collected on the selected date, were averaged into a single record (one per well), and rounded according to USGS protocols. For evaluation and reporting, the water-quality data were further combined with physical attributes and classified by lithology, topographic position, physiographic province, region, redox, and pH (as standalone matrix, one row per well). A second data matrix file incorporating minimum reporting levels for censored and low-reported values (set to 0.99X highest...
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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The High Resolution National Hydrography Dataset Plus (NHDPlus HR) is an integrated set of geospatial data layers, including the best available National Hydrography Dataset (NHD), the 10-meter 3D Elevation Program Digital Elevation Model (3DEP DEM), and the National Watershed Boundary Dataset (WBD). The NHDPlus HR combines the NHD, 3DEP DEMs, and WBD to create a stream network with linear referencing, feature naming, "value added attributes" (VAAs), elevation-derived catchments, and other features for hydrologic data analysis. The stream network with linear referencing is a system of data relationships applied to hydrographic systems so that one stream reach "flows" into another and "events" can be tied to and traced...
Tags: Allegany County, Cattaraugus County, Downloadable Data, FileGDB, FileGDB 10.1, All tags...
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.


map background search result map search result map USGS Topo Map Vector Data (Vector) 25986 Little Indian Creek TX (published 20220823) FileGDB USGS US Topo 7.5-minute map for Artichoke Butte NW, SD 2017 USGS US Topo 7.5-minute map for Seneca, SD 2017 USGS US Topo 7.5-minute map for Seneca NW, SD 2017 USGS Topo Map Vector Data (Vector) 250 Agar NW, South Dakota 20210715 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 2209 Bald Hills, South Dakota 20210715 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 17137 Gettysburg Municipal Airport NE, South Dakota 20210715 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 34378 Patch Skin Buttes SE, South Dakota 20210715 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 40574 Seneca NW, South Dakota 20210715 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 44870 Thomas Lake NW, South Dakota 20210715 for 7.5 x 7.5 minute FileGDB 10.1 USGS NED 1/3 arc-second Contours for Huron W, South Dakota 20210929 1 X 1 degree Shapefile USGS NED 1/3 arc-second Contours for Huron W, South Dakota 20210929 1 X 1 degree FileGDB 10.1 USGS US Topo 7.5-minute map for Amarillo West, TX 2019 USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 0413 (published 20201007) Data compilation for regional synthesis of chemical characteristics of groundwater used for domestic supply in north-east and north-central Pennsylvania USGS US Topo 7.5-minute map for Lake Hurley SE, SD 2021 USGS US Topo 7.5-minute map for Lake Hurley, SD 2021 USGS US Topo 7.5-minute map for Steamboat Creek, SD 2021 US Topo 7.5-minute map for Chunky, TX USGS Topo Map Vector Data (Vector) 38700 Rotten Hill TX (published 20220822) GeoPackage USGS Topo Map Vector Data (Vector) 25986 Little Indian Creek TX (published 20220823) FileGDB USGS US Topo 7.5-minute map for Artichoke Butte NW, SD 2017 USGS US Topo 7.5-minute map for Seneca, SD 2017 USGS US Topo 7.5-minute map for Seneca NW, SD 2017 USGS Topo Map Vector Data (Vector) 250 Agar NW, South Dakota 20210715 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 2209 Bald Hills, South Dakota 20210715 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 17137 Gettysburg Municipal Airport NE, South Dakota 20210715 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 34378 Patch Skin Buttes SE, South Dakota 20210715 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 40574 Seneca NW, South Dakota 20210715 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 44870 Thomas Lake NW, South Dakota 20210715 for 7.5 x 7.5 minute FileGDB 10.1 USGS US Topo 7.5-minute map for Amarillo West, TX 2019 USGS US Topo 7.5-minute map for Lake Hurley SE, SD 2021 USGS US Topo 7.5-minute map for Lake Hurley, SD 2021 USGS US Topo 7.5-minute map for Steamboat Creek, SD 2021 US Topo 7.5-minute map for Chunky, TX USGS Topo Map Vector Data (Vector) 38700 Rotten Hill TX (published 20220822) GeoPackage USGS NED 1/3 arc-second Contours for Huron W, South Dakota 20210929 1 X 1 degree Shapefile USGS NED 1/3 arc-second Contours for Huron W, South Dakota 20210929 1 X 1 degree FileGDB 10.1 USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 0413 (published 20201007) Data compilation for regional synthesis of chemical characteristics of groundwater used for domestic supply in north-east and north-central Pennsylvania