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Soil and Water Hub Modeling Datasets

dataset

posted on 2024-02-13, 12:50 authored by USDA ARS Grassland Soil and Water Research Laboratory, Texas A&M AgriLife Research

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 are available for download for use with software tools Agricultural Policy/Environmental eXtender Model (APEX), Soil and Water Assessment Tool (SWAT), ArcSWAT, and related Conservation practices.

Resources in this dataset:

Resource Title: Website Pointer to Soil and Water Hub Modeling Datasets.

File Name: Web Page, url: https://soilandwaterhub.brc.tamus.edu/Home/Download
Modeling datasets for APEX, SWAT, ArcSWAT, and Conservation

Funding

USDA-ARS

Texas AgriLife Research

History

Data contact name

Arnold, Jeff

Data contact email

jeff.arnold@ars.usda.gov

Publisher

USDA Agricultural Research Service; Texas A&M AgriLife Research

Theme

Not specified

Geographic Coverage

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Geographic location - description

Contiguous United States

ISO Topic Category

biota
environment
geoscientificInformation
inlandWaters

National Agricultural Library Thesaurus terms

soil; land use; soil quality; conservation practices; runoff; soil erosion models; simulation models; water quality; Internet; pollution load; United States; prediction; cost effectiveness; hydrologic models; computer software; Soil and Water Assessment Tool model; models; Agricultural Research Service; rivers; environmental impact; climate change; soil erosion; nonpoint source pollution; pollution control; water management; water resources; data collection; agricultural policy

OMB Bureau Code

005:18 - Agricultural Research Service

OMB Program Code

005:040 - National Research

ARS National Program Number

Pending citation

Public Access Level

Public

Preferred dataset citation

USDA ARS Grassland Soil and Water Research Laboratory; Texas A&M AgriLife Research (2018). Soil and Water Hub Modeling Datasets. USDA Agricultural Research Service; Texas A&M AgriLife Research.