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Federal
Composition of Foods Raw, Processed, Prepared USDA National Nutrient Database for Standard Reference, Release 28
Department of Agriculture —
[Note: Integrated as part of FoodData Central, April 2019.] The database consists of several sets of data: food descriptions, nutrients, weights and measures,... -
Federal
USDA National Nutrient Database for Standard Reference Dataset for What We Eat In America, NHANES (Survey-SR)
Department of Agriculture —
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... -
Federal
UNSODA 2.0: Unsaturated Soil Hydraulic Database. Database and program for indirect methods of estimating unsaturated hydraulic properties
Department of Agriculture —
This database contains measured soil water retention, hydraulic conductivity, and water diffusivity data, as well as pedological information of some 790 soil samples... -
Federal
USDA Nutrient Data Set for Retail Meat Cuts: Beef, Lamb, Pork and Veal
Department of Agriculture —
The United States Department of Agriculture (USDA) Nutrient Data Laboratory (NDL), in collaboration with the National Cattlemen's Beef Association, National Pork... -
Federal
Data from: Exercise plasma metabolomics and xenometabolomics in obese, sedentary, insulin-resistant women: impact of a fitness and weight loss intervention
Department of Agriculture —
Insulin resistance has wide-ranging effects on metabolism but there are knowledge gaps regarding the tissue origins of systemic metabolite patterns, and how patterns... -
Federal
The Bronson Files, Dataset 7, Field 13, 2015
Department of Agriculture —
Dr. Kevin Bronson provides a second experiment year of Field 13 nitrogen and water management in cotton agricultural research data for compute, including notation of... -
Federal
The Bushland, Texas Soybean Datasets
Department of Agriculture —
This parent dataset (collection of datasets) describes the general organization of data in the datasets for the 1995, 2003, 2004, 2010 and 2019 growing seasons... -
Federal
Data and code from: Severity of charcoal rot disease in soybean genotypes inoculated with <i>Macrophomina phaseolina</i> isolates differs among growth environments
Department of Agriculture —
This dataset includes all the raw data and all the R statistical software code that we used to analyze the data and produce all the outputs that are in the figures,... -
Federal
Data from: Attracted by higher crude protein, grasshopper abundance and offtake increase after prescribed fire
Department of Agriculture —
This study examined how indirect fire effects (improved forage quality) affect the density of and offtake by grasshoppers at two different times since fire and in... -
Federal
Agricultural land use by field: Minnesota 2010-2019
Department of Agriculture —
Improving the quality of water discharged from agricultural watersheds requires comprehensive and adaptive approaches for planning and implementing conservation... -
Federal
Agricultural land use by field: Wisconsin 2010-2019
Department of Agriculture —
Improving the quality of water discharged from agricultural watersheds requires comprehensive and adaptive approaches for planning and implementing conservation... -
Federal
APLE : Annual Phosphorus Loss Estimator Tool
Department of Agriculture —
APLE is a Microsoft Excel spreadsheet model that runs on an annual time-step and estimates field-scale, sediment bound and dissolved P loss (kg ha−1) in surface... -
Federal
Data from: Investigation of Stormwater Runoff at the Sleepy Hollow Neighborhood, Fort Irwin, California
Department of Agriculture —
In arid and semi-arid region, low precipitation can lead to reliance on groundwater for our needs. A study was conducted in cooperation with the Environmental... -
Federal
USDA Table of Nutrient Retention Factors, Release 6 (2007)
Department of Agriculture —
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,...