Search Data.gov
Found 1006 dataset(s) matching "regression model".
-
High-resolution mass spectrometry is advantageous for monitoring physiological impacts and contaminant biotransformation products in fish exposed to complex wastewater effluent. We evaluated this...
-
This section of the data release supports an archive of the models used in the associated publication. The U.S. Geological Survey and the University of Wisconsin – Green Bay collected hydrologic...
-
The dataset contains Escherichia coli (E. coli) concentrations and loads that were measured and calculated from samples collected from the Little Blue River and its tributaries in Independence,...
-
The U.S. Geological Survey and the University of Wisconsin – Green Bay collected hydrologic and water-quality data to assess the effectiveness of agricultural conservation management practice...
-
Nitrogen (N), phosphorus (P), and total suspended solids (TSS) loads, in Hampton Roads, Virginia stormwater conveyance systems have been calculated using monitoring data from 12 intensively...
-
Citywide raster files of annual average predicted surface for nitrogen dioxide (NO2), fine particulate matter (PM2.5), black carbon (BC), and nitric oxide (NO); summer average for ozone (O3) and...
-
The U.S. Geological Survey (USGS) in cooperation with NOAA, developed a regression model for estimating August mean baseflow per square mile of drainage area to help resource managers assess...
-
The study's goal was to downscale 2013 250-m expedited Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index (NDVI) to 30 m (Gu, Y. and Wylie, B.K., 2015,...
-
This dataset contains predicted flow-duration curves (FDCs) for 1,378 streamgages in 19 study regions in the conterminous U.S. from mostly undisturbed watersheds using regression models...
-
This dataset contains the estimation data that was used in combination with the regression models to estimate streamwater constituent loads for 12 water-quality constituents for 13 watersheds in...
-
From October 2007 through September 2010, the U.S. Geological Survey (USGS) in cooperation with the Tennessee Duck River Development Agency monitored water quality at 24 sites in the Upper Duck...
-
We compiled macroinvertebrate assemblage data collected from 1995 to 2014 from the St. Louis River Area of Concern (AOC) of western Lake Superior. Our objective was to define depth-adjusted cutoff...
-
This dataset provides annual maps of live aboveground tree biomass (Mg/ha) for pinyon-juniper forests across the Great Basin of the Western USA for the years 2000-2016 at a spatial resolution of...
-
The data are a set of fluorescent images that were generated to support the development of a machine learning model. The approach combines fluorescence imaging, deep learning, a mobile...
-
<p>This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets...
-
The data consists of a series of tables containing individual identifiers; countrywide high-resolution (1 km × 1 km) minimum, mean, and maximum daily air temperature data estimated using hybrid...
-
This dataset is a collection of emissions data during extrusion processes used to support regression modeling research. The data were collected from various academic publications and patents....
-
The data is provided in 2 zip files that share site identifiers. One data set contains biological (genus benthic invertebrate) data (Data Biological.zip) and the other contains water quality data...
-
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...
-
How is the process of radicalization understood over time? Do current radicalization to violence differ from earlier waves? How can these understandings be utilized to prevent radicalization to...
