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Found 1493 dataset(s) matching "statistical model".
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<p>Cover crops provide many agroecosystem services, including weed suppression, which is partially exerted through release of allelopathic benzoxazinoid (BX) compounds. This research characterizes...
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A three-dimensional extreme gradient boosting (XGB) machine learning model was developed to predict the distribution of nitrate in groundwater across the conterminous United States (CONUS)....
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<p dir="ltr">This dataset includes all the data and R code needed to reproduce the analyses in a forthcoming manuscript:</p><p dir="ltr">Copes, W. E., <b>Q. D. Read</b>, and B. J. Smith....
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This dataset contains netcdf files with the peak flow statistics associated with culvert design, for the state of Washington. Additional information can be found in the project report.
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<p dir="ltr">This dataset contains all raw data and R statistical software code needed to reproduce the data processing, statistical model fitting, and data/model visualizations presented in the...
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The southeastern United States was modeled to produce historical and potential future simulations of streamflow statistics using the Precipitation Runoff Modeling System (PRMS) as part of the...
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Groundwater age is an important indicator of groundwater susceptibility to anthropogenic contamination and a key input to statistical models for forecasting water quality. Numerical models can...
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Groundwater and estuary water levels near Mill Creek and the Herring River in Wellfleet, Massachusetts, were measured from June 2017 to August 2022. The data contained in these datasets consist of...
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This data release contains eight datasets and metadata related to streamwater constituent load estimation and E. coli bacteria concentration predictions at 15 watersheds in DeKalb County, Georgia...
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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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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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Climate change information simulated by global climate models is downscaled using statistical methods to translate spatially course regional projections to finer resolutions needed by researchers...
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The Department of Water Resources Modeling Support Office, in collaboration with the United States Geological Survey (USGS), has developed an individual-based ecological particle tracking model...
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The Sacramento / San Joaquin River Delta (SSJRD) is contaminated with legacy mercury (Hg) from historical mining and mineral processing activities throughout the watershed, as well as from...
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Spreadsheet used to calculated hydrograph recession statistical parameters (Minimum, Most Probable Value, and Maximum) for the Stochastic Empirical Loading Dilution Model (SELDM) . The spreadsheet...
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<div style='text-align:Left;'><div><div><p><span>Basal Area (BA). 30 meter pixel resolution. Data represents forest conditions circa 2002.</span></p><p><span style='font-size:12pt'>These data are...
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<div style='text-align:Left;'><div><div><p><span style='font-size:12pt'>These data are a product of a multi-year effort by the FHTET (Forest Health Technology Enterprise Team) Remote Sensing...
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The data we used for this study include species occurrence data (n=15 species), climate data and predictions, an expert opinion questionnaire, and species masks that represented the model domain...
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Prior to 2003, the State of Alabama had no formal methodology to forecast prison populations, including a simulation model or statistical time-series and forecasting methods. Instead, the Alabama...
