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Found 427 dataset(s) matching "Illinois river".
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Drying has a major impact on pattern and process in streams, particularly in small or headwater streams. Such streams that dry recurrently are called non-perennial streams and represent most of...
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Modifications were made to existing great lakes topobathy data sets to interpolate areas of missing near shore elevation data. Areas with missing elevation data were not interpolated where there...
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The U.S. Geological Survey’s (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and...
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In 2013, the first of several Regional Stream Quality Assessments (RSQA) was done in the Midwest United States. The Midwest Stream Quality Assessment (MSQA) was a collaborative study by the U.S....
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Modifications were made to an existing Lake Michigan topobathy data set to interpolate areas of missing near shore elevation data. Areas with missing elevation data were not interpolated where...
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Modifications were made to Great Lakes topobathy data to interpolate areas of missing near shore elevation data. Areas with missing elevation data were not interpolated where there was low...
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In 2013, the first of several Regional Stream Quality Assessments (RSQA) was done in the Midwest United States. The Midwest Stream Quality Assessment (MSQA) was a collaborative study by the U.S....
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In 2013, the first of several Regional Stream Quality Assessments (RSQA) was done in the Midwest United States. The Midwest Stream Quality Assessment (MSQA) was a collaborative study by the U.S....
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Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
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This dataset represents predictions made to individual, local NHDPlusV2 stream segments. Attributes were calculated for every local NHDPlusV2 stream segment. (See Supplementary Info for Glossary...
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This data release contains monthly and annual water-use estimates from the Aquaculture and Irrigation Water-Use Model version 1.0 for the Mississippi Alluvial Plain, April 1999 to October 2017....
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Modifications were made to an existing Lake Michigan topobathy data set to interpolate areas of missing near shore elevation data. Areas with missing elevation data were not interpolated where...
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Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
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This data release contains relevant datasets used in the analysis for the Chesapeake Bay stressor identification project, for which results are described in Fanelli and others (in review). For...
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Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
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This data release contains monthly and annual water-use estimates from the Aquaculture and Irrigation Water-Use Model version 1.0 for the Mississippi Alluvial Plain, April 1999 to October 2017....
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In 2013, the first of several Regional Stream Quality Assessments (RSQA) was done in the Midwest United States. The Midwest Stream Quality Assessment (MSQA) was a collaborative study by the U.S....
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Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
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Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
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Groundwater residence times and flow path lengths were simulated for two major aquifers of the Mississippi embayment region using particle tracking (Pollock, 2012; Starn and Belitz, 2018) in a...