human health | Ag Data Commons

Data from: A randomized controlled trial of positive outcome expectancies during high-intensity interval training in inactive adults

Includes accelerometer data, relative reinforcing value (RRV) data, data on the breakpoint, questionnaire data, and demographic data.

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Exploring the Benefits of Brackish Water and Halophytes for Human Health

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Stream water concentrations of herbicides and nutrients for sites in the northern Missouri and southern Iowa region, 1994 to 1999

NAL Geospatial Catalog

The data set contains stream water concentrations of herbicides and nutrients for 153 sites in the northern Missouri/southern Iowa region from 1994 to 1995.

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Asian giant hornet, Vespa mandarinia, genome assembly

Genome assembly of the Asian giant hornet, Vespa mandarinia, using a specimen collected from the first nest located in North America.

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iHUB: Collaborative International Network for Ionomics (PiiMS)

Improving our understanding of how plants take up, transport and store their nutrient and toxic elements, collectively known as the ionome, will benefit human health and the natural environment. Here you will find curated ionomic data on many thousands of plant samples freely available to the public.

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Organic Beef Data from Integration of Crops and Livestock Project

As the organic forage-finished beef industry continues to grow, it is important to understand factors that affect meat quality, characteristics of beef that influence human health, and sensory attributes of cooked beef. Research on alternative breeds and forage types that influence meat quality, FA and AA profiles, and sensory attributes in an organic forage-finished production system, as well as comparisons with alternative breeds is lacking. Data release is part of data management plan with USDA-NIFA funding. Data is from organic dairy beef steers collected at the West Central Research and Outreach Center, Morris, MN.

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AgAR (Agricultural Antibiotic Resistance)

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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.