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Found 1006 dataset(s) matching "regression modeling".
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Data are from water samples collected from tributaries of the Great Lakes at three different drainage basin scales, including 1). watershed scale: 8 tributaries of the Great Lakes, 2)....
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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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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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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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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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Model archive summary (MAS) describing the development of a continuous 15-minute suspended-sediment concentration (SSC) time series regression model for the site: North Mokelumne River near Walnut...
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Model archive summary (MAS) describing the development of a continuous 15-minute suspended-sediment concentration (SSC) time series regression model for the site: South Mokelumne River at New Hope...
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This model archive summary (MAS) describes the development of a continuous 15-minute suspended-sediment concentration (SSC) time series regression model for the station: Sacramento River Deep...
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This dataset contains a global gridded data product of observation-based ocean interior dissolved oxygen concentrations. The data product is called GOBAI-O2 for Gridded Ocean Biogeochemistry from...
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The spatial arrangement of urban vegetation depends on urban morphology and socio-economic settings. Urban vegetation changes over time because of human management. Urban trees are removed due...
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In the United States, a number of challenges prevent an accurate assessment of the prevalence of hate crimes in different areas of the country. These challenges create huge gaps in knowledge...
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Predicted distributions of two genera of deep-sea corals, Stylaster and Swiftia sp, in the Cordell Banks National Marine Sanctuary were generated using generalized linear model logistic regression...
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Microbial biofilm communities are composed of fungi, bacteria, and phytoplankton taxonomic groups (e.g., cyanobacteria, diatoms, and chlorophytes), which inhabit the surface of intertidal...
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Data represent dependent and independent variables used in logistic modeling for a study entitled "Evaluating Establishment Success of Non-native Fishes Introduced to Inland Aquatic Habitats of...
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These rasters represent landscape-scale (i.e., 3.6 x 3.6 km window) predictions of unprotected grassland loss (i.e., grass, shrub, herbaceous wetland cover) from 2021-2031 at 270 m resolution for...
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These rasters represent landscape-scale (i.e., 3.6 x 3.6 km window) predictions of unprotected grassland loss (i.e., grass, shrub, herbaceous wetland cover) from 2019-2038 at 270 m resolution for...
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This geographic raster dataset presents statistical model predictions for the probability of exceeding 40 gallons per minute well yield from a 400 foot deep well, and is based on the available...
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Background Investigating the validity of the self-reported values of weight allows for the proper assessment of studies using questionnaire-derived data. The study examined the accuracy...
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Datasets used to quantify and value the ecosystem service of sediment and nutrient retention for floodplains within the Difficult Run watershed located in Fairfax County, Virginia. Geospatial...
