• Organization: Department of Agriculture
• Updated: 2025-11-21

The Soil and Water Assessment Tool (SWAT) is a public domain model jointly developed by USDA Agricultural Research Service (USDA-ARS) and Texas A&M AgriLife Research, part of The Texas A&M...

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• Organization: Department of the Interior
• Updated: 2020-08-27T00:00:00Z

The Pee Dee and Cape Fear River Basins in North Carolina and South Carolina were chosen as a focus area study (FAS) for the U.S. Geological Survey (USGS) National Water Census (NWC) in 2016. The...

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• Organization: Department of the Interior
• Updated: 2020-08-27T00:00:00Z

The Cape Fear and Pee Dee River Basins in North Carolina and South Carolina were chosen as a focus area study (FAS) for the U.S. Geological Survey (USGS) National Water Census (NWC) in 2016. The...

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• Organization: Department of the Interior
• Updated: 2023-06-16T00:00:00Z

As part of the Coastal Carolinas Focus Area Study of the U.S. Geological Survey National Water Census Program, the Soil and Water Assessment Tool (SWAT) was used to develop models for the Cape...

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• Organization: Department of the Interior
• Updated: 2023-06-16T00:00:00Z

As part of the Coastal Carolinas Focus Area Study of the U.S. Geological Survey National Water Census Program, the Soil and Water Assessment Tool (SWAT) was used to develop models for the Pee Dee...

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• Organization: Department of Agriculture
• Updated: 2025-11-21

The Soil and Water Hub is jointly developed by USDA Agricultural Research Service (USDA-ARS) and Texas A&M AgriLife Research, part of The Texas A&M University System. Modeling dataset resources...

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• Organization: Department of the Interior
• Updated: 2020-08-27T00:00:00Z

The SWAT_Hanalei folder contains the input files needed to run the Soil & Water Assessment Tool (SWAT) model for the Hanalei watershed, the calibration data files, and a README_SWAT_Hanalei.txt...

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• Organization: U.S. Environmental Protection Agency
• Updated: 2016-05-09

data required to set up SWAT model as well as SWAT model outputs for runoff and sediment. This dataset is associated with the following publication: Yuan, Y., W. Hu, and G. Li. Evaluation of...

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• Organization: Department of Agriculture
• Updated: 2025-11-21

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 and nutrient loads from small...

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• Organization: U.S. Environmental Protection Agency
• Updated: 2019-08-19

Data contains information about bacterial concentrations in the water column in a mixed use watershed in Northeast GA. This dataset is associated with the following publication: Sowah, R., K....

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• Organization: U.S. Environmental Protection Agency
• Updated: 2019-11-19

water quality loadings (nitrogen and phosphorous) from SWAT simulations on different crop expansion scenarios. This dataset is associated with the following publication: Chen, P., Y. Yuan, W....

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• Organization: Department of the Interior
• Updated: 2021-11-02T00:00:00Z

This dataset contains the input (temperature and precipitation from climate models) and output from the Soil and Water Assessment Tool (SWAT) model runs using the Hydrologic and Water Quality...

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• Organization: Department of the Interior
• Updated: 2025-01-08T00:00:00Z

This data release contains Soil Water Assessment Tool (SWAT) outputs (.shp) for three precipitation scenarios for the Los Planes watershed in Baja California Sur, Mexico. The inputs used are...

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• Organization: Department of Agriculture
• Updated: 2025-11-21

SNAP (Soil Nutrient Assessment Program), a component of the USDA/ARS Soil and Water Hub, is a web-based tool that provides an estimate of plant-available nutrients that the soil naturally...

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• Organization: U.S. Environmental Protection Agency
• Updated: 2019-09-11

These are input data to the Soil and Water Assessment Tool (SWAT) developed for a watershed and Artificial Neural Network (ANN) constructed as a simulation model for the wetland as well as outputs...

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• Organization: Department of the Interior
• Updated: 2024-08-12T00:00:00Z

This U.S. Geological Survey (USGS) data release contains model scenario input and output files and nine hydrology and water-quality models developed using the Soil and Water Assessment Tool...

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• Organization: Department of the Interior
• Updated: 2024-08-12T00:00:00Z

This data release contains data and rloadest models used to estimate sediment and nutrient loads in selected New York tributaries to eastern Lake Erie. Load estimates for suspended sediment and...

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• Organization: National Aeronautics and Space Administration
• Updated: 2025-07-17

The Trends in Global Freshwater Availability from the Gravity Recovery and Climate Experiment (GRACE), 2002-2016, is a global gridded data set at a spatial resolution of 0.5 degrees that presents...

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• Organization: U.S. Environmental Protection Agency
• Updated: 2023-03-22

The dataset supports findings in the study: "Integrating Agricultural Conservation Planning Framework with the Soil and Water Assessment Tool to Reduce Phosphorus Loadings to Lake Erie: A Case...

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• Organization: Department of Agriculture
• Updated: 2023-11-30

Global warming is expected to lead to a more vigorous hydrological cycle, including more total rainfall and more frequent high intensity rainfall events. Rainfall amounts and intensities increased...

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