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Found 1006 dataset(s) matching "regression model".
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A series of linear regression models were developed and calibrated for two Lower Minnesota River sites. The linear regression models were either calibrated using acoustic or streamflow data to...
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The primary data set consists of continuous water-quality data (temperature, specific conductance, pH, dissolved oxygen, turbidity, nitrate plus nitrite, and streamflow) from in-situ equipment,...
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The primary data set consists of continuous water-quality data (temperature, specific conductance, pH, dissolved oxygen, turbidity, nitrate plus nitrite, and streamflow) from in-situ equipment,...
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The primary data sets consist of continuous water-quality data (temperature, specific conductance, pH, dissolved oxygen, turbidity, nitrate plus nitrite, and streamflow) from in-situ equipment,...
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A series of linear regression models were developed and calibrated for the Minnesota and Mississippi Rivers. The linear regression models were calibrated using acoustic and suspended-sediment...
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Regressions were developed to predict Escherichia coli (E. coli) concentrations at four U.S. Geological Survey (USGS) gages on streams in Chester and Delaware Counties in southeastern...
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A simple linear regression model was developed and calibrated for the Minnesota River at Mankato, Minnesota (Site Number: 05325000). The linear regression model was calibrated using acoustic and...
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This data release contains data used to develop linear regression models to calculate continuous chloride concentrations in groundwater and runoff at an urban rain garden in Gary, Indiana. A...
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This data release contains one dataset and one model archive in support of the journal article "Leveraging machine learning to automate regression model evaluations for large multi-site...
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A table is presented listing: (1) USGS Gage Station Numbers, (2) Model Identification Tags, (3) Model Term Estimates, (4) Model Term Fit Statistics, and (5) Model Performance Indices for Maximum...
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This data release contains input data and programs (scripts) used to estimate monthly water demand for retail customers of Providence Water, located in Providence, Rhode Island. Explanatory data...
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Heterotrophic biofilm growth is typical in streams receiving airport deicer runoff; however detailed studies of biofilms in this setting are rare. Sample collection for this study was done during...
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The file "Chloride_specific_conductance_regression_model_forms_for_estimating_high-frequency_chloride_concentrations.csv" contains the regression equation forms for two types of regressions: 1)...
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The purpose of this report is to guide analysts interested in fitting regression models using data from the National Survey on Drug Use and Health (NSDUH) by providing them with methods for...
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Spreadsheets are included here to support the manuscript "Boosted Regression Tree Models to Explain Watershed Nutrient Concentrations and Biological Condition". This dataset is associated with...
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This dataset includes input and output data from streamflow and water-quality regression models used to characterize streamflow and water-quality conditions in the Upper White River Basin,...
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Green and others (2021) developed a gradient boosted regression tree model to predict the mean groundwater age, or travel time, for shallow wells across a portion of the Great Lakes basin in the...
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This dataset includes input and output data from streamflow and water-quality regression models used to characterize streamflow and water-quality conditions in the Upper Yampa River Basin,...
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Site-specific multiple linear regression models were developed for eight sites in Ohio—six in the Western Lake Erie Basin and two in northeast Ohio on inland reservoirs--to quickly predict...
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A random forest regression (RFR) model was developed to predict groundwater fluoride concentrations in four western United Stated principal aquifers —California Coastal basin-fill aquifers,...
