-
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
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
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
International Climate Benchmarks and Input Parameters for a Stochastic Weather Generator, CLIGEN
Department of Agriculture —
This dataset represents CLIGEN input parameters for locations in 68 countries. CLIGEN is a point-scale stochastic weather generator that produces long-term weather... -
Federal
Data from: Yield and profit comparison of diversified versus conventional crop rotation systems in South Dakota
Department of Agriculture —
Diversified crop rotations with no-till management are considered fundamental to sustainable agroecosystems; however, associated uncertainty in economic returns may... -
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
iStitch: GUI-based Image Stitching Software
Department of Agriculture —
GUI-based software coded in PYTHON to automate image stitching and alignment processes from a set of tile images for the high throughput image analytics by... -
Federal
Soil - Plant - Atmosphere - Water Field & Pond Hydrology
Department of Agriculture —
SPAW is a daily hydrologic budget model for agricultural fields and ponds (wetlands, lagoons, ponds and reservoirs). Included are irrigation scheduling and soil... -
Federal
Data from: "Genome report - chromosome-scale genome assembly of the Olive fly Bactrocera oleae (Diptera-Tephritidae)"
Department of Agriculture —
The olive fruit fly, Bactrocera oleae (Rossi) (Diptera: Tephritidae), is a specialist of fruits of the genus Olea and is a major pest of commercial olives due to... -
Federal
Data from: Solving the Robot-World Hand-Eye(s) Calibration Problem with Iterative Methods
Department of Agriculture —
These datasets were generated for calibrating robot-camera systems. In an extension, we also considered the problem of calibrating robots with more than one camera.... -
Federal
Video data of flowers, fruitlets, and fruit in apple trees during the 2017 growing season at USDA-ARS-AFRS
Department of Agriculture —
This record contains videos of apple trees acquired from a ground vehicle throughout the growing season at the USDA-ARS-AFRS (United States Department of Agriculture... -
Federal
Agricultural Research Word Vectors
Department of Agriculture —
This model was originally trained for use in a recommendation system to the Ag Data Commons that will automatically link viewers of one dataset to other directly... -
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
X-ray CT data with semantic annotations for the paper "A workflow for segmenting soil and plant X-ray CT images with deep learning in Google’s Colaboratory"
Department of Agriculture —
Leaves from genetically unique Juglans regia plants were scanned using X-ray micro-computed tomography (microCT) on the X-ray μCT beamline (8.3.2) at the Advanced... -
Federal
Data from: Are historical trends in weather consistent with model predictions in the Central United States?
Department of Agriculture —
This dataset includes the monthly and daily data used for the analysis of historical and future trends in precipitation and temperature at five Long-Term... -
Federal
Data from: Thinking Like a Grassland: Challenges and Opportunities for Biodiversity Conservation in the Great Plains of North America
Department of Agriculture —
Conservation planning in the Great Plains often depends on understanding the degree of fragmentation of the various types of grasslands and savannas that historically... -
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...