Skip to main content
Advanced Search

Filters: Tags: Sibley County (X)

96 results (59ms)   

View Results as: JSON ATOM CSV
thumbnail
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.
thumbnail
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.
thumbnail
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.
thumbnail
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.
thumbnail
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/).
thumbnail
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...
thumbnail
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.
thumbnail
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.
thumbnail
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.
thumbnail
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.
thumbnail
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.
thumbnail
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...
thumbnail
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)...


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) 16994 Gaylord, Minnesota 20220501 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 18328 Green Isle, Minnesota 20220507 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 49570 Winthrop, Minnesota 20220501 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 3451 Bernadotte, Minnesota 20220507 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 19040 Hamburg, Minnesota 20220506 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 24244 Lafayette, Minnesota 20220507 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 32301 Norseland, Minnesota 20220507 for 7.5 x 7.5 minute FileGDB 10.1 Selected well construction information Arsenic and field parameter data Aqueous nitrate+nitrite, aqueous manganese, aqueous iron, and total sulfate data USGS US Topo 7.5-minute map for Fairfax, MN 2019 USGS US Topo 7.5-minute map for Gibbon, MN 2019 USGS US Topo 7.5-minute map for New Auburn, MN 2019 USGS US Topo 7.5-minute map for Norseland, MN 2019 USGS US Topo 7.5-minute map for Stewart, MN 2019 US Topo 7.5-minute map for Buffalo Lake, MN US Topo 7.5-minute map for Fairfax, MN US Topo 7.5-minute map for Lafayette, MN US Topo 7.5-minute map for New Auburn, MN USGS Topo Map Vector Data (Vector) 16994 Gaylord, Minnesota 20220501 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 18328 Green Isle, Minnesota 20220507 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 49570 Winthrop, Minnesota 20220501 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 3451 Bernadotte, Minnesota 20220507 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 19040 Hamburg, Minnesota 20220506 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 24244 Lafayette, Minnesota 20220507 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 32301 Norseland, Minnesota 20220507 for 7.5 x 7.5 minute FileGDB 10.1 USGS US Topo 7.5-minute map for Fairfax, MN 2019 USGS US Topo 7.5-minute map for Gibbon, MN 2019 USGS US Topo 7.5-minute map for New Auburn, MN 2019 USGS US Topo 7.5-minute map for Norseland, MN 2019 USGS US Topo 7.5-minute map for Stewart, MN 2019 US Topo 7.5-minute map for Buffalo Lake, MN US Topo 7.5-minute map for Fairfax, MN US Topo 7.5-minute map for Lafayette, MN US Topo 7.5-minute map for New Auburn, MN 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