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Found 1006 dataset(s) matching "regression model".
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This data release contains model inputs, R code, and model outputs for predicting depth to bedrock in the Delaware River Basin at a 1km gridded resolution with a random forest model. Model inputs...
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In 2019, the U.S. Geological Survey (USGS), in cooperation with the National Park Service, initiated a study using surrogate technology to predict real-time metallic-contaminant concentrations...
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Climate change over the past century has altered vegetation community composition and species distributions across rangelands in the western United States. The scale and magnitude of climatic...
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Mitigating the effects of salinity (total dissolved solids [TDS]) and selenium on water quality in the lower Gunnison River Basin of western Colorado is a major concern for land managers. In...
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This data release contains data sets that describe reach-scale water-quality conditions for the Pacific drainages of the United States. The nutrient and water use conditions represent the...
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This data release contains summary metrics describing stream stage, stream water temperature, and short-term climate conditions (daily precipitation and air temperature) for 30 streams spanning...
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This data release contains summary metrics describing stream stage, stream water temperature, and short-term climate conditions (daily precipitation and air temperature) for 30 streams spanning...
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Development of the neurovascular unit (NVU) is a complex, multistage process that requires orchestrated cell signaling mechanisms across several cell types and ultimately results in the formation...
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In 2019, the U.S. Geological Survey (USGS), in cooperation with the National Park Service(NPS), initiated a study using surrogate technology to predict real-time metallic-contaminant...
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The downloadable ZIP file contains an Esri grid. These data were created as part of a graduate thesis at the University of Idaho to 1.) demonstrate that a combination of geographic information...
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This data set is a national map of predicted probability of nitrate contamination of shallow ground waters based on a logistic regression (LR) model. The LR model was used to predict the...
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The dataset provides a spatially explicit estimate of 2019 herbaceous annual percent cover predicted on May 1st with an emphasis on annual grasses. The estimate is based on the mean output of two...
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Data are biological and chemical in nature. They describe organismal responses to copper treatments. The abstract can be found below. Copper can be toxic to aquatic organisms at high...
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<p>This dataset contains all data and code necessary to reproduce the analysis presented in the manuscript:</p> <p>Winzeler, H.E., Owens, P.R., Read Q.D.., Libohova, Z., Ashworth, A., Sauer, T....
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This raster data set delineates the predicted probability of unmixed young groundwater (defined using chlorofluorocarbon-11 concentrations and tritium activities) in groundwater in the Eagle...
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This raster data set delineates the predicted probability of elevated volatile organic compound (VOC) concentrations in groundwater in the Eagle River watershed valley-fill aquifer, Eagle County,...
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This raster data set delineates the predicted probability of elevated nitrate concentrations in groundwater in the Eagle River watershed valley-fill aquifer, Eagle County, North-Central Colorado,...
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These data were compiled so that annual wildfire could be modelled across the sagebrush region in the western United States. Our goal was to understand how wildfire probability relates to climate...
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Three water-quality models were generated to estimate total phosphorus (TP) concentrations and loads from 2002 – 2021 in the Boise River near Parma, Idaho. A Weighted Regression on Time Discharge...
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Management and disturbances have significant effects on grassland forage production. When using satellite remote sensing to monitor climate impacts such as drought stress on annual forage...
