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Found 1006 dataset(s) matching "regression model".
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This data release contains the calibration data set and R code used to create regression models for estimating daily loads of suspended sediment, total nitrogen, and total phosphorus at the...
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In 1991, the U.S. Geological Survey (USGS) began a study of more than 50 major river basins across the Nation as part of the National Water-Quality Assessment (NAWQA) project. One of the major...
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This data release contains the model inputs, outputs, and source code (written in R) for the boosted regression tree (BRT) and artificial neural network (ANN) models developed for four sites in...
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Landslide susceptibility models show the potential of landslide occurrence at a location. These models are pivotal for reducing losses associated with landslides (Godt et al., 2022). In this data...
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For more than 100 years, the Permian Basin has been an important source of oil and gas produced from conventional reservoirs; directional drilling combined with hydraulic fracturing has greatly...
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This data release provides water-quality trends for rivers and streams in the Delaware River Basin determined using the Weighted Regressions on Time, Discharge, and Season (WRTDS) model and the...
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Nonstationary streamflow due to environmental and human-induced causes can affect water quality over time, yet these effects are poorly accounted for in water-quality trend models. This data...
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In order to understand how higher inclusionary housing requirements affects the feasibility of new market-rate housing development, the Controller's Office contracted with Blue Sky Consulting...
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In cooperation with the City of Durham Public Works Department Stormwater Division, the U.S. Geological Survey (USGS) conducted a study to evaluate whether alternate monitoring strategies that...
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This dataset contains the data and results of an analysis estimating wet deposition and streamwater solute fluxes at Panola Mountain Research Watershed (PMRW), Panola Mountain State Park,...
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Two empirical simple linear regression models were developed from SedCam imagery and concurrent physical sediment samples over a 20-month period at the East Branch Brandywine Creek gage (USGS...
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This data release contains data sets and R code used to create regression models for estimating daily flux of suspended sediment, total nitrogen, and total phosphorus at the Kankakee River at...
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The dataset contains daily values of hydrologic and physical parameters. These daily values were calculated from continuous (15-minute) data collected from continuous water quality monitors...
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The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one or more dependent target...
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Model for computing point estimates of continuous 15-minute time-series suspended-sediment concentration data from instream turbidity data. Turbidity data is published in NWIS. Model is based on...
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Data from an optical turbidity sensor deployed at the stream station were recorded at 15-minute intervals by a data logger and uploaded every hour to the USGS database (Anderson, 2005; Wagner,...
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Data from an optical turbidity sensor deployed at the stream station were recorded at 15-minute intervals by a data logger and uploaded every hour to the U.S. Geological Survey (USGS) database...
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Data from an optical turbidity sensor deployed at the stream station were recorded at 15-minute intervals by a data logger and uploaded every hour to the U.S. Geological Survey (USGS) database...
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Data from an optical turbidity sensor deployed at the stream station were recorded at 15-minute intervals by a data logger and uploaded every hour to the USGS database (Anderson, 2005; Wagner,...
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Data from an optical turbidity sensor deployed at the stream station were recorded at 15-minute intervals by a data logger and uploaded every hour to the U.S. Geological Survey (USGS) database...
