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Agricultural land use by field: Minnesota 2010-2019

    This database is structured around individual farm fields as the unit of record, providing a framework that enables land use to be assessed at the same scale that agricultural land uses shift, at an annual time step, and at the scale at which conservation practices are implemented. It is beneficial to document agricultural land cover and its rates of change to understand responses of watershed, landscape, and agroecosystem processes to changes in land use and to identify viable approaches that can be customized for local adoption and mitigate environmental impacts from agricultural production.

    Long-Term Agricultural Research (LTAR) network - Meteorological Station - Upper Mississippi River Basin - St. Paul

      The United States Department of Agriculture - Agricultural Research Service (USDA-ARS) Soil and Water Management Research Unit established a meteorological data collection system at the Rosemount Research and Outreach Center in 2003. In 2015 the site became part of the Long-Term Agroecosystem Research (LTAR) network. The site is located in Dakota County Minnesota in the Upper Mississippi River Basin (UMRB) watershed. Data are recorded at 15-minute intervals

      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.

        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.

          Alfalfa (Medicago sativa L.) cultivars mean annual forage yield (US Ton ac-1) from Northeast USA and Ontario (Canada) from 1995 to 2013

            Database of forage yield for 679 alfalfa cultivars from 1060 public trials conducted between 1995 and 2013, comprising 86 locations in 11 US states (Iowa, Illinois, Indiana, Kansas, Michigan, Minnesota, Nebraska, New York, Ohio, Pennsylvania, and Wisconsin) and one Canadian province (Ontario). Includes 28,070 observations, with an observation defined as a cultivar total annual forage yield mean across three to eight replicates per trial-year. Dataset includes Years 1 (establishment year) through 4 to 6 (depending on location and year).

            Uniform Soybean Tests, Northern Region

              The Uniform Soybean Tests, Northern Region, in place since 1941, evaluate yield, disease resistance, and quality traits of public breeding lines from northern states of the USA and Canadian provinces. The annual reports which compile the test results (PDF format) are available, and new reports are added annually.

              Complete Data and Analysis for: Fungicide Effectiveness on Soybean Rust in the Southeastern United States 2004-2014: A Meta-Analysis

                Soybean rust is a concern to soybean growers and management of soybean rust primarily depends on disease scouting and the timely use of fungicides. The goal of this study was to evaluate the efficacy of fungicide-use through a quantitative meta-analysis of data compiled from published and unpublished soybean fungicide trials across the southern United States from 2004 to 2014. The data included in this repository includes the complete dataset as a comma-separated-value file and all Program R code necessary to replicate the data processing, analysis, and graphing.