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NUOnet (Nutrient Use and Outcome Network) database

    The Nutrient Uptake and Outcomes (NUOnet) database will be able to help establish baselines on nutrient use efficiencies; processes contributing to nutrient losses; and processes contributing to optimal crop yield, nutritional and organoleptic quality. This national database could be used to calculate many different environmental indicators from a comprehensive understanding of nutrient stocks and flows.

    USDA Branded Food Products Database

      The USDA Branded Food Products Database is the result of a Public-Private Partnership, whose goal is to enhance public health and the sharing of open data by complementing USDA Food Composition Databases with nutrient composition of branded foods and private label data provided by the food industry. [Note: Integrated as part of FoodData Central, April 2019.]

      USDA National Nutrient Database for Standard Reference Dataset for What We Eat In America, NHANES (Survey-SR)

        The dataset, Survey-SR, provides the nutrient data for assessing dietary intakes from the national survey What We Eat In America, National Health and Nutrition Examination Survey (WWEIA, NHANES). Historically, USDA databases have been used for national nutrition monitoring (1). Currently, the Food and Nutrient Database for Dietary Studies (FNDDS) (2), is used by Food Surveys Research Group, ARS, to process dietary intake data from WWEIA, NHANES. Nutrient values for FNDDS are based on Survey-SR. Survey-SR was referred to as the "Primary Data Set" in older publications. Early versions of the dataset were composed mainly of commodity-type items such as wheat flour, sugar, milk, etc. However, with increased consumption of commercial processed and restaurant foods and changes in how national nutrition monitoring data are used (1), many commercial processed and restaurant items have been added to Survey-SR. 

        USDA Table of Nutrient Retention Factors, Release 6 (2007)

          Release 6, of this data set, replaces the previous release, Release 5, issued in 2003. The data set contains the factors for calculating retention of 26 vitamins, minerals and alcohol during food preparation. Factors for the other 25 food components in Release 4 are unchanged. Factors for total choline have been added to this release.

          Low-Disturbance Manure Incorporation

            The LDMI experiment (Low-Disturbance Manure Incorporation) was designed to evaluate nutrient losses with conventional and improved liquid dairy manure management practices in a corn silage (*Zea mays*) / rye cover-crop (*Secale cereale*) system. The improved manure management treatments were designed to incorporate manure while maintaining crop residue for erosion control. Field observations included greenhouse gas (GHG) fluxes from soil, soil nutrient concentrations, crop growth and harvest biomass and nutrient content, as well as monitoring of soil physical and chemical properties. Observations from LDMI have been used for parameterization and validation of computer simulation models of GHG emissions from dairy farms (Gaillard et al., submitted). The LDMI experiment was performed as part of the Dairy CAP.

            USDA Special Interest Databases on Flavonoids

              The US Department of Agriculture has published several Special Interest Databases (SID) on flavonoids. The resource linked to here is where the most current versions of these databases are maintained. It contains direct data downloads, and more detailed information for the following USDA Special Interest Databases on Flavonoids: USDA Database for the Flavonoid Content of Selected Foods, Release 3.2 (November 2015), USDA Database for the Isoflavone Content of Selected Foods, Release 2.1 (November 2015), USDA Database for the Proanthocyanidin Content of Selected Foods, Release 2 (2015), and USDA's Expanded Flavonoid Database for the Assessment of Dietary Intakes (September 2014)