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The Ag Data Commons is migrating

The Ag Data Commons is migrating to a new institutional portal on Figshare. The current system is available for search and download only. The new platform is open for submission with assistance from Ag Data Commons curators. Please contact NAL-ADC-Curator@usda.gov, if you need to publish or update your datasets.

Data from: Soil carbon and nitrogen data during eight years of cover crop and compost treatments in organic vegetable production

    This article includes the raw data, descriptive data (means) and inferential statistics (95% confidence intervals) on the effects of compost and cover cropping over an 8 year period in the Salinas Organic Cropping Systems (SOCS) experiment including: (1) changes in soil total organic C and total N concentrations and stocks and nitrate N (NO3-N) concentrations over 8 years, (2) cumulative above ground and estimated below ground C and N inputs, cover crop and crop N uptake, and harvested crop N export over 8 years, (3) soil permanganate oxidizable carbon (POX-C) concentrations and stocks at time 0, 6 and 8 years, and (4) cumulative, estimated yields of lettuce and broccoli (using total biomass and harvest index values) over the 8 years.

    Sustainable Corn CAP Research Data (USDA-NIFA Award No. 2011-68002-30190): ARDN Products

      ARDN (Agricultural Research Data Network) annotations for Sustainable Corn CAP Research Data (USDA-NIFA Award No. 2011-68002-30190). These data are a subset of the Sustainable Corn CAP (Cropping Systems Coordinated Agricultural Project: Climate Change, Mitigation, and Adaptation in Corn-based Cropping Systems) data specifically developed for Agricultural Research Data Network with csv and json files for easy ingestion into crop models.

      Data from: A database for global soil health assessment

        The SoilHealthDB database integrates soil health measurements conducted in the field from sites across the globe. SoilHealthDC currently focuses on four main conservation management methods: cover crops, no-tillage, agro-forestry systems, and organic farming. These studies represent 354 geographic sites (i.e., locations with unique latitudes and longitudes) in 42 countries around the world. The SoilHealthDB includes 42 soil health indicators and 46 background indicators that describe factors such as climate, elevation, and soil type.

        Operational Tillage Information System (OpTIS) tillage, residue, and soil health practice dataset

          CTIC has partnered with Applied GeoSolutions and The Nature Conservancy on the development, testing and application of the Operational Tillage Information System (OpTIS), an automated system to map tillage, residue cover, winter cover, and soil health practices using remote sensing data. While OpTIS calculations are performed at the farm-field scale using publicly available data, the privacy of individual producers is fully protected by reporting only spatially-aggregated results at regional and watershed scales. OpTIS-based data are currently available for the years 2005 through 2018 for the US Corn Belt, including all of Illinois, Indiana, and Iowa, as well as parts of: Kansas, Michigan, Minnesota, Missouri, Nebraska, Ohio, Oklahoma, South Dakota, and Wisconsin.

          REAP (Resilient Economic Agricultural Practices)

            REAP (Resilient Economic Agricultural Practices), formerly known as the Renewable Energy Assessment Project, was initially organized to quantitatively assess the impacts of crop residue (e.g., corn stover) on soil properties. The project's current vision is to revitalize soil health and resiliency, thereby enabling soil resources to meet expanding societal demands while safe-guarding planetary health. Goals include 1) Identifying physical, chemical, or biological parameters and index tools that quantify management effects on carbon sequestration and soil health; 2) Conducting coordinated, quantitative multi-location comparisons of business as usual vs. improved management practices designed to enhance nutrient use efficiency and soil health; 3) Identification of critical indicators and index tools to quantify site-specific soil health and water quality effects; 4) Developing, expanding, and coordinating among ARS teams providing data and databases needed to sustainably supply cellulosic-based bioenergy feedstock and other national natural resource and agricultural challenges.