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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 dataset provides aqueous nitrate+nitrite, aqueous manganese, aqueous iron, and total sulfate measurements in groundwater samples from 254 newly constructed private residential wells between 2014 and 2016. The study focuses on three geologically distinct regions of Minnesota: central, northwest, and northeast. These study regions were chosen due to their prevalent elevated As concentrations in drinking water. Each of the 254 wells were sampled in three rounds by the Minnesota Department of Health (MDH). The timing of the three sampling rounds was (1) immediately or shortly after well construction (round 1); (2) 3-6 months after initial sample collection (round 2); and (3) 12 months after initial sample collection...
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This dataset provides a subset of well construction information provided by the driller's well logs. Complete well logs can be accessed on the Minnesota Well Index online (http://www.health.state.mn.us/ divs/eh/cwi/).
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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 National Hydrography Dataset (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...
Tags: Administrative watershed units, Administrative watershed units, Area of Complex Channels, Area to be submerged, Basin, All tags...
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The National Hydrography Dataset (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...
Tags: Administrative watershed units, Administrative watershed units, Area of Complex Channels, Area to be submerged, Barnes 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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This data release contains: (1) ASCII grids of predicted probability of elevated arsenic in groundwater for the Northwest and Central Minnesota regions, (2) input arsenic and predictive variable data used in model development and calculation of predictions, and (3) ASCII files used to predict the probability of elevated arsenic across the two study regions. The probability of elevated arsenic was predicted using Boosted Regression Tree (BRT) modeling methods using the gbm package in R Studio version 3.4.2. The response variable was the presence or absence of arsenic >10 µg/L, the U.S. Environmental Protection Agency’s maximum contaminant level for arsenic, in 3,283 wells located throughout both study regions (1,363...
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This data release provides total and aqueous arsenic (As) determinations and associated field readings collected from groundwater sampled from 254 newly constructed private residential wells between 2014 and 2016. The study focuses on three regions of Minnesota that differ geologically: south-central (herein called central), northwest, and northeast. These study regions were chosen due to their prevalent elevated As concentrations in drinking water. Each of the 254 wells were sampled in three rounds by the Minnesota Department of Health (MDH). The timing of the three sampling rounds was (1) immediately or shortly after well construction (round 1); (2) 3-6 months after initial sample collection (round 2); and (3)...
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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 Groundwater arsenic data and ASCII grids for predicting elevated arsenic in northwestern and central Minnesota using boosted regression tree methods USGS Topo Map Vector Data (Vector) 2445 Barnesville SW, Minnesota 20190904 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 49702 Wolverton, Minnesota 20190903 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 12566 Doran, Minnesota 20190904 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 16197 Foxhome, Minnesota 20190904 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 25137 Lawndale, Minnesota 20190904 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 8672 Christine, North Dakota 20200723 for 7.5 x 7.5 minute FileGDB 10.1 Selected well construction information Arsenic and field parameter data USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 4 - 0902 (published 20201202) USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 8 - 09020103 (published 20201205) Aqueous nitrate+nitrite, aqueous manganese, aqueous iron, and total sulfate data USGS US Topo 7.5-minute map for Barnesville SW, MN 2019 USGS US Topo 7.5-minute map for Big Slough, MN 2019 USGS US Topo 7.5-minute map for Campbell, MN 2019 USGS US Topo 7.5-minute map for Tintah, MN 2019 USGS US Topo 7.5-minute map for Wolverton SE, MN 2019 USGS US Topo 7.5-minute map for Christine, ND,MN 2020 USGS US Topo 7.5-minute map for Hickson, ND,MN 2020 USGS US Topo 7.5-minute map for Dwight, ND,MN 2017 USGS Topo Map Vector Data (Vector) 2445 Barnesville SW, Minnesota 20190904 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 49702 Wolverton, Minnesota 20190903 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 12566 Doran, Minnesota 20190904 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 16197 Foxhome, Minnesota 20190904 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 25137 Lawndale, Minnesota 20190904 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 8672 Christine, North Dakota 20200723 for 7.5 x 7.5 minute FileGDB 10.1 USGS US Topo 7.5-minute map for Barnesville SW, MN 2019 USGS US Topo 7.5-minute map for Big Slough, MN 2019 USGS US Topo 7.5-minute map for Campbell, MN 2019 USGS US Topo 7.5-minute map for Tintah, MN 2019 USGS US Topo 7.5-minute map for Wolverton SE, MN 2019 USGS US Topo 7.5-minute map for Christine, ND,MN 2020 USGS US Topo 7.5-minute map for Hickson, ND,MN 2020 USGS US Topo 7.5-minute map for Dwight, ND,MN 2017 USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 8 - 09020103 (published 20201205) Groundwater arsenic data and ASCII grids for predicting elevated arsenic in northwestern and central Minnesota using boosted regression tree methods Selected well construction information Arsenic and field parameter data Aqueous nitrate+nitrite, aqueous manganese, aqueous iron, and total sulfate data USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 4 - 0902 (published 20201202)