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Federal
USDA National Nutrient Database for Standard Reference, Legacy Release
Department of Agriculture —
[Note: Integrated as part of FoodData Central, April 2019.] The USDA National Nutrient Database for Standard Reference (SR) is the major source of food composition... -
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
Bug Bytes sound library: stored product insect pest sounds
Department of Agriculture —
This archive of .wav format sound recordings provided by the ARS Center for Medical, Agricultural, and Veterinary Entomology supports the detection and control of... -
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
Image dataset of plant-parasitic nematodes associated with cool-season turfgrass for machine learning and deep learning classification algorithms
Department of Agriculture —
The dataset contains micrographs of Hoplolaimus, Helicotylenchus, Meloidogyne, Mesocriconema, Pratylenchus, Trichodorus, and Tylenchorhynchus nematodes. The data were... -
Federal
Data from: Multi-species fruit flower detection using a refined semantic segmentation network
Department of Agriculture —
This dataset consists of four sets of flower images, from three different species: apple, peach, and pear, and accompanying ground truth images. The images were... -
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
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
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
Data From: Effects of species and sex on the gut microbiome of four laboratory-reared fruit fly lines (Diptera: Tephritidae) using full-length 16S rRNA PacBio Kinnex sequencing
Department of Agriculture —
Species- and sex-related differences of four laboratory tephritid fruit fly (Diptera: Tephritidae) gut microbiomes evaluated with full-length 16S rRNA PacBio Kinnex... -
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
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
Data from: Impact of larval food source on the stability of the <i>Bactrocera dorsalis </i>microbiome
Department of Agriculture —
We conducted a fly rearing experiment to characterize diet-induced changes in the microbiome of female Bactrocera dorsalis. In order to explicitly investigate the... -
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
BMC Genomics P. pachyrhizi Supplemental Data
Department of Agriculture —
Data about Phakopsora pachyrhizi, causative agent of soybean rust. Genomics and Bioinformatics Research Unit, Stoneville, MS. Resources in this dataset:Resource... -
Federal
Data from: Carbon Fluxes from a Spring Wheat-Corn-Soybean Crop Rotation Under No-Tillage Management
Department of Agriculture —
The increase in corn (Zea mays L.) and soybean [Glycine max (L.) Merr.] production in rainfed cropping systems of the northern Great Plains has altered the delivery...