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Federal
Water Quality Portal
Department of Agriculture —
The Water Quality Portal (WQP) is a cooperative service sponsored by the United States Geological Survey (USGS), the Environmental Protection Agency (EPA), and the... -
Federal
Small Watershed Hydrology (WinTR-55)
Department of Agriculture —
WinTR-55 is a single-event rainfall-runoff small watershed hydrologic model. The model generates hydrographs from both urban and agricultural areas and at selected... -
Federal
Cover Crop Chart (version 2.0): Helping producers choose cover crops in crop and forage production systems
Department of Agriculture —
The Cover Crop Chart (v. 2.0) is designed to assist producers with decisions on the use of cover crops in crop and forage production systems. The chart, patterned... -
Federal
Water Erosion Prediction Project (WEPP)
Department of Agriculture —
The Water Erosion Prediction Project (WEPP) model is a process-based, distributed parameter, continuous simulation, erosion prediction model for use on personal... -
Federal
DepositScan
Department of Agriculture —
DepositScan is a scanning program that can quickly evaluate spray deposit distribution on water sensitive paper or Kromekote cards. The program consists of a set of... -
Federal
SWIFT - Small Watershed Nutrient Forecasting Tool
Department of Agriculture —
SWIFT (Small Watershed Nutrient Forecasting Tool), a component of the USDA/ARS Soil and Water Hub, is a web-based tool that allows the rapid estimation of sediment... -
Federal
Data from: Selenium geochemistry in reclaimed phosphate mine soils and its relationship with plant bioavailability
Department of Agriculture —
Selenium accumulation in vegetation has resulted in toxicity in livestock grazing on phosphate mine soils in Southeastern Idaho. Plant and soil samples were collected... -
Federal
AGWA - Automated Geospatial Watershed Assessment Tool
Department of Agriculture —
The Automated Geospatial Watershed Assessment (AGWA) tool is a GIS-based hydrologic modeling tool that uses commonly available GIS data layers to fully parameterize,... -
Federal
Metadata for: Comparative studies on water- and vapor-based hydrothermal carbonization: process analysis
Department of Agriculture —
This is digital research data corresponding to a published manuscript in "Comparative studies on water- and vapor-based hydrothermal carbonization: process analysis"... -
Federal
Data from: Trends and sensitivities of low streamflow extremes to discharge timing and magnitude in Pacific Northwest mountain streams
Department of Agriculture —
Path analyses of historical streamflow data from the Pacific Northwest indicate that the precipitation amount has been the dominant control on the magnitude of low... -
Federal
Digital Collections of Colorado, DSpace Repository, Long Term Ecological Research (LTER) datasets
Department of Agriculture —
Dataset links to the Digital Collections of Colorado, DSpace Repository. From the homepage, you can search the 1240 datasets hosted there, or browse using a list of... -
Federal
The Southwest Watershed Research Center Data Access Project (DAP)
Department of Agriculture —
The USDA-ARS Southwest Watershed Research Center (SWRC) operates the Walnut Gulch Experimental Watershed (WGEW) in southeastern Arizona as an outdoor laboratory for... -
Federal
Ameriflux data: Goodwin Creek, Mississippi, 1980-2014
Department of Agriculture —
This dataset links to a data download from the Daymet website. Data parameters are Latitude: 34.2547 Longitude: -89.8735 X & Y on Lambert Conformal Conic:... -
Federal
Automated Water Supply Model (AWSM)
Department of Agriculture —
Automated Water Supply Model (AWSM) was developed at the USDA Agricultural Research Service (ARS) in Boise, ID. AWSM was designed to streamline the work flow used by... -
Federal
Metadata for: Climate-driven prediction of land water storage anomalies: An outlook for water resources monitoring across the conterminous United States
Department of Agriculture —
Data reported in the csv files are gridded monthly time-series used in the article “Sohoulande, C.D., Martin, J., Szogi, A. and Stone, K., 2020. Climate-Driven...