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Found 1006 dataset(s) matching "regression modeling".
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Regression models were developed for computing the suspended-sediment concentration (SSC) at the U.S. Geological Survey (USGS) streamflow gaging station Waihi Stream at Honolulu, Hawaii (16238500)...
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Dataset is a model archive containing all relevant files to create regression models that are discussed in the report: Koltun, G.F., 2019, Flood-frequency estimates for Ohio streamgages based on...
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This model archive contains R source code for the Weighted-Multiple Linear Regression Program (WREG), input files, and associated output files needed to recreate regression models that are...
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This data release supports the following publication: Mast, M. A., 2018, Estimating metal concentrations with regression analysis and water-quality surrogates at nine sites on the Animas and San...
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The dataset contains model coefficients and statistics for the 488 regression models used to estimate streamwater constituent loads for 13 watersheds in Gwinnett County, Georgia for two...
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The dataset contains the sample constituent concentrations and explanatory variable values used for fitting the load regression models that were then used to estimate streamwater constituent loads...
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A series of simple linear regression models were developed for the U.S. Geological Survey (USGS) streamgage at Rice Creek below Highway 8 in Mounds View, Minnesota (USGS station number 05288580)....
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Multiple linear regression models were developed using data collected in 2016 and 2017 from three recurring bloom sites in Kabetogama Lake in northern Minnesota. These models were developed to...
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Endangered Banbury Springs limpet and threatened Bliss Rapids snail populations in springs along the Snake River in southern Gooding County, south-central Idaho, are declining. To protect these...
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This dataset contains the selected regression models interpreted in the concurrent publication (Over and others, 2018). To each group of gaged basins in each region with one basin left out, a...
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This data release contains the input used and the output files interpreted in the publication "Refinement of a Regression-Based Method for Prediction of Flow-Duration Curves of Daily Streamflow in...
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This data release contains three different datasets that were used in the Scientific Investigations Report: Spatial and Temporal Distribution of Bacterial Indicators and Microbial Source Tracking...
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This data set includes input data for the development of regression models to predict chloride from specific conductance (SC) data at 56 U. S. Geological Survey water quality monitoring stations...
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Model archive summary (MAS) describing the development of a suspended-sediment concentration (SSC) surrogate regression model for the Hookton Slough near Loleta, CA water quality station (USGS...
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Model archive summary (MAS) describing the development of a suspended-sediment concentration (SSC) surrogate regression model for the Mad River Slough near Arcata, CA water quality station (USGS...
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Population-based estimates of pesticide intake are needed to characterize exposure for particular demographic groups based on their dietary behaviors. Regression modeling performed on measurements...
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This USGS data release presents pdfs of Model Archive Summaries (MAS) and tabular calibration data used to develop surrogate regressions to estimate fine sediment particles flowing into Lake...
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This data release provides data in support of an assessment of changes in slope of the concentration discharge relation for total organic carbon in eight major rivers at gaging stations in...
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Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management in Georgia, South Carolina, and North...
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A multivariate regression model was developed to predict zero-order oxygen reduction rates (mg/L/yr) in aquifers across the State of Wisconsin. The model used a combination of dissolved oxygen...
