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Data from: Secretome data from Trichoderma reesei and Aspergillus niger cultivated in submerged and sequential fermentation methods

    The cultivation procedure and the fungal strain applied for enzyme production may influence levels and profile of the proteins produced. The proteomic analysis data presented here provide critical information to compare proteins secreted by Trichoderma reesei and Aspergillus niger when cultivated through submerged and sequential fermentation processes, using steam-explosion sugarcane bagasse as inducer for enzyme production.

    2015 USDA Farm To School Census Data Explorer Tool

      The Farm to School Census measures USDA's progress toward improving access to local foods in schools. The web-based interface allows users to run customized searches using data from the 2015 Farm to School Census.

      Integrated Farm System Model (IFSM)

        The Integrated Farm System Model (IFSM) is a process-based simulation of dairy, beef, and crop farming systems. This whole farm model provides a tool for evaluating the long term performance, economics, and environmental impacts of production systems over many years of weather.

        USDA Table of Cooking Yields for Meat and Poultry

          USDA Table of Cooking Yields for Meat and Poultry, Release 2, is an update of previously released USDA data. Data in the updated table, accessible below, are measures of changes in meat and poultry weights resulting from moisture and fat losses during cooking. The table includes percentages for cooking yield, moisture change, and fat change for specific cuts of meat and poultry prepared in USDA research studies according to specific cooking protocols.

          USDA Nutrient Data Set for Retail Meat Cuts: Beef, Lamb, Pork and Veal

            The United States Department of Agriculture (USDA) Nutrient Data Laboratory (NDL), in collaboration with the National Cattlemen's Beef Association, National Pork Board, American Lamb Board, and meat scientists at selected universities, has conducted several research studies designed to update and expand nutrient data on retail meat cuts in the USDA National Nutrient Database for Standard Reference (SR). These studies have provided current and accurate estimates of data to update SR, and the study results have been incorporated into data sets that can be used for nutrient labeling. NDL has developed these data sets, presented in an easy-to-use table format.  

            NASS Data Visualization

              NASS Data Visualization provides a dynamic web query interface supporting searches by Commodity (e.g. Cotton, Corn, Farms & Land, Grapefruit, Hogs, Oranges, Soybeans, Wheat), Statistic type (automatically refreshed based upon choice of Commodity - e.g. Inventory, Head, Acres Planted, Acres Harvested, Production, Yield) to generate chart, table, and map visualizations by year (2001-2016), as well as a link to download the resulting data in CSV format compatible for updating databases and spreadsheets.