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Found 276 dataset(s) matching "Prediction error".
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This data set contains standard error in the kriging prediction of estimated yield of bedrock wells in grid cells of 200x200 meters in the Nashoba Terrane and surrounding area, central and eastern...
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This product "Observed, predicted, and misclassification error data for observations in the training dataset for nitrate and arsenic concentrations in basin-fill aquifers in the Southwest...
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This data release contains daily mean squared logarithmic error (MSLE), as well as several decompositions of the MSLE, for three streamflow models: nearest-neighbor drainage area ratio (NNDAR), a...
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In cooperation with the Ohio Department of Transportation and the U.S. Department of Transportation, Federal Highway Administration, the USGS developed a database of geomorphic data for a...
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To improve flood-frequency estimates at rural streams in Mississippi, annual exceedance probability (AEP) flows at gaged streams in Mississippi and regional-regression equations, used to estimate...
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The research done to evaluate how the predictivity of models are effected by error in either the training or the test set is simple to describe conceptually. Benchmark datasets are downloaded from...
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These datasets were developed to represent the geographic distribution of Plantago ovata in the Mojave Desert. This data release consists of two raster spatial layers (GeoTIFF) reflecting...
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Sediment accumulation and transport negatively affect flood control, water supply, aquatic life, reclamation, and recreation (Angino and O’Brien, 1968) and are concerns of resource managers in the...
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Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells - increasing or decreasing...
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A multiple machine-learning model (Asquith and Killian, 2024) implementing Cubist and Random Forest regressions was used to predict monthly mean groundwater levels through time for the available...
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This model archive contains the data and software application used to develop a two-dimensional hydrodynamic model of a 1.2 kilometer reach of the North Santiam River in Oregon. The...
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To improve flood-frequency estimates at rural streams in Mississippi, annual exceedance probability (AEP) flows at gaged streams in Mississippi and regional-regression equations, used to estimate...
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The U.S. Geological Survey (USGS), in cooperation with Connecticut Department of Transportation, completed a study to improve flood-frequency estimates in Connecticut. This companion data release...
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The work described herein is aimed to advance prognostic health management solutions for electro-mechanical actuators and, thus, increase their reliability and attractiveness to designers of the...
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This release includes data used to fit mass- and temperature-dependent functions for consumption and respiration of redside shiner (Richardsonius balteatus) based on controlled laboratory...
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This data release contains the D-score (version 0.1) daily streamflow performance benchmark results for the National Hydrologic Model Infrastructure application of the Precipitation-Runoff...
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Stream flows are essential for maintaining healthy aquatic ecosystems and for supporting human water supply needs. Integrated modeling approaches assessing the impact of changes in climate, land...
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Stream flows are essential for maintaining healthy aquatic ecosystems and for supporting human water supply needs. Integrated modeling approaches assessing the impact of changes in climate, land...
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This data release contains the D-score (version 0.1) daily streamflow performance benchmark results for the National Water Model (NWM) Retrospective version 2.1 computed at streamgage benchmark...