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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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This child item dataset contains a shapefile of water velocity observations made by an Acoustic Doppler Current Profiler (ADCP) during the 2018 survey, and includes measurements of water speed and direction along longitudinal transects of the Old Erie Canal. This data release contains spatial datasets of bathymetry, water velocity, water quality, and infrastructure of a 30.8 mile reach of the Old Erie Canal between the Town of DeWitt and its junction with the current Erie Canal of the New York State Canal System in Verona, near Rome, New York during 2018 and 2019.
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This child item dataset contains a raster interpolated from bathymetry observation points collected during the 2018 survey.​ This data release contains spatial datasets of bathymetry, water velocity, water quality, and infrastructure of a 30.8 mile reach of the Old Erie Canal between the Town of DeWitt and its junction with the current Erie Canal of the New York State Canal System in Verona, near Rome, New York during 2018 and 2019.
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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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From July through December 2016, 56 environmental samples were collected from the Mohawk and Western New York River Basins. Samples were collected from nine production wells and 13 domestic wells in the Mohawk River Basin, and 17 production wells and 17 domestic wells in the Western New York River Basins. Samples were collected and processed using standard USGS methods and analyzed for 320 constituents including physicochemical properties, dissolved gases, major ions, nutrients, trace elements, pesticides, volatile organic compounds, radionuclides, and indicator bacteria. Analytical methods are described and referenced in Gaige and others (2023). Five of the Mohawk River Basin wells (HE 622, HE 624, OE1468, SA1501,...
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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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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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A MODFLOW-NWT model was used to simulate the water budget for Haskell Lake and Tower Creek in WI using the Lake, Streamflow Routing, and Unsaturated Zone Flow packages. Particle tracking was performed with the MODFLOW solution (using MODPATH 6). This USGS data release contains all of the input and output files for the simulations described in the associated model documentation report (https://doi.org/10.3133/sir20205024).
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A MODFLOW-NWT groundwater flow model was developed to simulate groundwater movement in the area around Anvil Lake, and groundwater inputs and outputs from the lake from 1980 to 2014. Surface-water hydrology was simulated using the lake package. The MODFLOW model was first calibrated for steady-state conditions, or "average" conditions corresponding to January 1, 1980, to December 31, 2014 to estimate spatial hydrogeologic properties. Following the steady-state calibration, the model was applied in transient mode to estimate average monthly hydrologic conditions (groundwater inputs and outputs) for each year from 1980 to 2014.
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This dataset supports the publication “Geophysical insights into Paleoproterozoic tectonics along the southern margin of the Superior Province, central Upper Peninsula, Michigan, USA.” At a 1:100,000 scale, these data are in a geologic database in the Geologic Map Schema (GeMS) which includes spatial feature classes and non-spatial tables that contain the geologic information presented in figure 8 and S3 of appendix A, the supplemental map of the publication. Geologic map of the central Upper Peninsula, Michigan
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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) 49794 Woodruff, Wisconsin 20220430 for 7.5 x 7.5 minute FileGDB 10.1 USGS NED 1/3 arc-second Contours for Rice Lake E, Wisconsin 20220429 1 X 1 degree FileGDB 10.1 USGS US Topo 7.5-minute map for Saint Germain, WI 2018 USGS US Topo 7.5-minute map for Hinckley, NY 2019 USGS US Topo 7.5-minute map for Oriskany Falls, NY 2019 USGS US Topo 7.5-minute map for Verona, NY 2019 USGS US Topo 7.5-minute map for West Winfield, NY 2019 USGS US Topo 7.5-minute map for Westdale, NY 2019 Longitudinal water velocity observation points collected using ADCP during Old Erie Canal survey Bathymetry raster of Old Erie Canal Groundwater Quality Data from the Mohawk and Western New York River Basins, New York, 2016 US Topo 7.5-minute map for Monico, WI US Topo 7.5-minute map for Rhinelander, WI US Topo 7.5-minute map for Three Lakes, WI Data Release - Geologic map of the central Upper Peninsula, Michigan MODFLOW-NWT model data sets used to evaluate changes in the hydrodynamics of Anvil Lake, Wisconsin MODFLOW-NWT and MODPATH models, data from aquifer tests and temperature profilers, and groundwater flux estimates used to assess groundwater/surface-water interactions in Haskell Lake, Wisconsin US Topo 7.5-minute map for Hubbardsville, NY US Topo 7.5-minute map for Hinckley, NY US Topo 7.5-minute map for Snowville, UT USGS Topo Map Vector Data (Vector) 49794 Woodruff, Wisconsin 20220430 for 7.5 x 7.5 minute FileGDB 10.1 USGS US Topo 7.5-minute map for Saint Germain, WI 2018 USGS US Topo 7.5-minute map for Hinckley, NY 2019 USGS US Topo 7.5-minute map for Oriskany Falls, NY 2019 USGS US Topo 7.5-minute map for Verona, NY 2019 USGS US Topo 7.5-minute map for West Winfield, NY 2019 USGS US Topo 7.5-minute map for Westdale, NY 2019 US Topo 7.5-minute map for Monico, WI US Topo 7.5-minute map for Rhinelander, WI US Topo 7.5-minute map for Three Lakes, WI US Topo 7.5-minute map for Hubbardsville, NY US Topo 7.5-minute map for Hinckley, NY US Topo 7.5-minute map for Snowville, UT Longitudinal water velocity observation points collected using ADCP during Old Erie Canal survey MODFLOW-NWT model data sets used to evaluate changes in the hydrodynamics of Anvil Lake, Wisconsin Bathymetry raster of Old Erie Canal USGS NED 1/3 arc-second Contours for Rice Lake E, Wisconsin 20220429 1 X 1 degree FileGDB 10.1 Data Release - Geologic map of the central Upper Peninsula, Michigan Groundwater Quality Data from the Mohawk and Western New York River Basins, New York, 2016