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Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) Demonstration

    The demonstration of Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) allows authorized States and school districts to use information from Medicaid to identify students eligible to receive meals under the National School Lunch Program (NSLP) and School Breakfast Program (SBP) for free or at a reduced price. District-level administrative records data on certification and NSLP and SBP participation were collected to evaluate the demonstration. The analysis sample includes 5,966 public, private, and charter school districts in the 15 States participating in the DCM-F/RP demonstration in school year (SY) 2019-20.

    Agricultural land use by field: Wisconsin 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.

      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).

            Data from: Starch and dextrose at 2 levels of rumen-degradable protein in iso-nitrogenous diets: Effects on lactation performance, ruminal measurements, methane emission, digestibility, and nitrogen balance of dairy cows.

              This feeding trial was designed to investigate two separate questions. The first question is, “What are the effects of substituting two non-fiber carbohydrate (NFC) sources at two rumen-degradable protein (RDP) levels in the diet on apparent total-tract nutrient digestibility, manure production and nitrogen (N) excretion in dairy cows?”. This is relevant because most of the N ingested by dairy cows is excreted, resulting in negative effects on environmental quality. The second question is, “Is phenotypic residual feed intake (pRFI) correlated with feed efficiency, N use efficiency, and metabolic energy losses (via urinary N and enteric CH4) in dairy cows?”. The pRFI is the difference between what an animal is expected to eat, given its level of productivity, and what it actually eats. The goal was to determine whether production of CH4, urinary N or fecal N is a driver of pRFI.

              Data from: Underestimation of N2O emissions in a comparison of the DayCent, DNDC, and EPIC 1 models

                Process-based models are increasingly used to study mass and energy fluxes from agro-ecosystems, including nitrous oxide (N2O) emissions from agricultural fields. This data set is the output of three process-based models – DayCent, DNDC, and EPIC – which were used to simulate fluxes of N2O from dairy farm soils. The individual models' output and the ensemble mean output were evaluated against field observations from two agricultural research stations in Arlington, WI and Marshfield, WI. These sites utilize cropping systems and nitrogen fertilizer management strategies common to Midwest dairy farms.