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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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In this data release, we provide data to describe the water quality in Green Lake, Wisconsin, from 1905 to 2020, primarily the constituents for which it is impaired, including near-surface total phosphorus concentrations and metalimnetic dissolved oxygen concentrations, and quantify the water and phosphorus inputs to the lake. We also provide inputs to and outputs from the General Lake Model coupled to the Aquatic Ecodynamics modeling library (GLM-AED) hydrodynamic water-quality model to describe the factors that have caused low dissolved oxygen concentrations in the metalimnion of Green Lake; and quantify how changes in phosphorus loading should affect near-surface total phosphorus and chlorophyll-a concentrations,...
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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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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: Adams County, Alger County, Baraga County, Brown County, Calumet County, 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.
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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.
map background search result map search result map USGS Topo Map Vector Data (Vector) 18330 Green Lake, Wisconsin 20220429 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 27409 Manchester, Wisconsin 20220430 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 27749 Markesan, Wisconsin 20220430 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 27799 Marquette, Wisconsin 20220430 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 27749 Markesan, Wisconsin 20220430 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 27799 Marquette, Wisconsin 20220430 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 14794 Fairburn, Wisconsin 20220430 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 36477 Princeton West, Wisconsin 20220430 for 7.5 x 7.5 minute Shapefile USGS NED 1/3 arc-second Contours for Madison E, Wisconsin 20220429 1 X 1 degree Shapefile USGS US Topo 7.5-minute map for Markesan, WI 2018 USGS US Topo 7.5-minute map for Fairburn, WI 2018 USGS US Topo 7.5-minute map for Princeton East, WI 2018 USGS US Topo 7.5-minute map for Princeton West, WI 2018 USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 0403 (published 20200317) Eutrophication models to simulate changes in the water quality of Green Lake, Wisconsin in response to changes in phosphorus loading, with supporting water-quality data for the lake, its tributaries, and atmospheric deposition US Topo 7.5-minute map for Green Lake, WI US Topo 7.5-minute map for Markesan, WI US Topo 7.5-minute map for Manchester, WI US Topo 7.5-minute map for Princeton East, WI US Topo 7.5-minute map for Berlin, WI USGS Topo Map Vector Data (Vector) 18330 Green Lake, Wisconsin 20220429 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 27409 Manchester, Wisconsin 20220430 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 27749 Markesan, Wisconsin 20220430 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 27799 Marquette, Wisconsin 20220430 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 27749 Markesan, Wisconsin 20220430 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 27799 Marquette, Wisconsin 20220430 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 14794 Fairburn, Wisconsin 20220430 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 36477 Princeton West, Wisconsin 20220430 for 7.5 x 7.5 minute Shapefile USGS US Topo 7.5-minute map for Markesan, WI 2018 USGS US Topo 7.5-minute map for Fairburn, WI 2018 USGS US Topo 7.5-minute map for Princeton East, WI 2018 USGS US Topo 7.5-minute map for Princeton West, WI 2018 US Topo 7.5-minute map for Green Lake, WI US Topo 7.5-minute map for Markesan, WI US Topo 7.5-minute map for Manchester, WI US Topo 7.5-minute map for Princeton East, WI US Topo 7.5-minute map for Berlin, WI USGS NED 1/3 arc-second Contours for Madison E, Wisconsin 20220429 1 X 1 degree Shapefile USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 0403 (published 20200317)