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Federal
Dr. Duke's Phytochemical and Ethnobotanical Databases
Department of Agriculture —
Of interest to pharmaceutical, nutritional, and biomedical researchers, as well as individuals and companies involved with alternative therapies and and herbal... -
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
HoloBee Database v2016.1
Department of Agriculture —
Organisms living in honey bees and honey bee colonies form large associative holobiont communities that are integral to bee biology. High-throughput sequencing... -
Federal
Data from: A field-scale sensor network data set for monitoring and modeling the spatial and temporal variation of soil moisture in a dryland agricultural field
Department of Agriculture —
Automated in situ soil sensor network - the data set includes hourly and daily measurements of volumetric water content, soil temperature, and bulk electrical... -
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
NUOnet (Nutrient Use and Outcome Network) database
Department of Agriculture —
NUOnet Vision: Efficient use of nutrients to optimize production and product quality of food for animals and humans, fuel and fiber in a sustainable manner that... -
Federal
Data and code from: Comparison of in-field and laboratory-based phenotyping methods for evaluation of aflatoxin accumulation in maize inbred lines
Department of Agriculture —
This dataset contains all data and R code, in RMarkdown notebook format, needed to reproduce all statistical analysis, figures, and tables in the manuscript:Jeffers,... -
Federal
Data from: Efficient imaging and computer vision detection of two cell shapes in young cotton fibers
Department of Agriculture —
Methods Cotton plants were grown in a well-controlled greenhouse in the NC State Phytotron as described previously (Pierce et al, 2019). Flowers were tagged on the... -
Federal
USLE Project
Department of Agriculture —
The USLE_1981-4 project data (Universal Soil Loss Equation) was collected from of (9) sites at (4) locations. A Swanson rotating boom simulator with (30) V-Jet 80100... -
Federal
Hydrological and Water Chemistry Data: Faribault County, Minnesota, County Ditches 62 and 30, 2018—2023
Department of Agriculture —
This dataset includes drainage discharge, water chemistry, and precipitation data and GIS shapefiles for research conducted on 249-ha County Ditch 62 (CD62) and... -
Federal
AnthWest, occurrence records for wool carder bees of the genus Anthidium (Hymenoptera: Megachilidae, Anthidiini) in the Western Hemisphere
Department of Agriculture —
AnthWest is a large dataset, one of the outcomes of a comprehensive, broadly comparative study on the diversity, biology, biogeography, and evolution of Anthidium... -
Federal
USDA ARS Maize Modelling Dataset, Greeley, Colorado
Department of Agriculture —
A Modelling dataset containing a DSSAT cultivar file, AgMIPS platform dome code and USDA ARS LIRF drip irrigated field experiment in Greeley, Colorado average Maize... -
Federal
Soil Dynamics Research for Greenhouse gas Reduction through Agricultural Carbon Enhancement network in Auburn, Alabama
Department of Agriculture —
Soil Dynamics Research for Greenhouse gas Reduction through Agricultural Carbon Enhancement network in Auburn, Alabama This study provides data on soil C and N... -
Federal
The Bronson Files, Dataset 9, Field 113, 2017 Cotton
Department of Agriculture —
Dr. Kevin Bronson provides a dataset representing the second of three consecutive years of cotton and nitrogen management experimentation in Field 113. Included is an... -
Federal
Long-Term Agricultural Research (LTAR) network - Meteorological Collection
Department of Agriculture —
The LTAR network maintains stations for standard meteorological measurements including, generally, air temperature and humidity, shortwave (solar) irradiance,... -
Federal
Data from: Diversified grain rotations can be highly and reliably productive in unstable climates
Department of Agriculture —
Data and analysis from: Ewing, P. M., Chim, B. K., Lehman, R. M., & Osborne, S. L. (2024). Diversified grain rotations can be highly and reliably productive in...