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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
18,130 datasets
Meal reimbursement claims data for sites participating in Texas school nutrition programs during the 2025-2026 program year. The Texas Department of Agriculture updates this data daily during the active program year. Specific row and column counts are not provided.
Texas data contains meal reimbursement claims for Child and Adult Care Food Program (CACFP) participants operating as Adult Day Care centers for the program year October 2025 to September 2026. The Texas Department of Agriculture administers the program, updating data daily until 90 days after the program year closes.
Texas Department of Agriculture data contains contact and program participation information for all approved School Nutrition Program meal sites for the 2025-2026 program year. The dataset updates daily and covers sites operating from July 1, 2025, to June 30, 2026.
A dataset from the OpenML platform with the title 'visualizing_livestock'. No information is available on its contents, size, structure, or origin.
A dataset tracking commodity and food prices likely related to the forecasted 2026 El Niño climate event. The dataset appears to originate from Kaggle, but its specific contents, size, and creation details are not provided in the metadata. It likely contains time-series data on price fluctuations for various agricultural or food commodities.
Statistics Canada data on seeded and harvested areas, production, amount sold, and total farm value of potatoes. The dataset was last updated in March 2026. Row and column counts are unknown.
NAOS Nutrition Training Pairs is a dataset hosted on Kaggle. Its title suggests it contains paired data related to nutrition, likely for training machine learning models. Metadata is minimal; actual content requires verification after download.
Two Bayesian phylogenetic analyses performed with BEAST2 software, containing 100,000 sampled trees per run along with log files and configuration XML. The dataset was created by author Jonathan Klawitter and published on figshare in March 2026. It supports research related to a paper referenced on arXiv.
The dataset title suggests it contains volleyball-related data, likely images or video frames. It was published on Kaggle, but the author, organization, and specific collection details are unknown. The description 'precropped+first 10 epochs B3' indicates the data has been preprocessed for machine learning, possibly for training a model over 10 initial training cycles.
A dataset titled 'Ai Food' is hosted on Kaggle. The dataset's content likely relates to applications of artificial intelligence within the food or agriculture domain. Specific details regarding its size, origin, and creation date are unavailable from the provided metadata.
Fractional Cover data derived from Landsat satellite scenes estimates coverage by green vegetation, non-green vegetation, and bare soil. The service includes daily scene-based measurements and annual summaries providing 10th, 50th, and 90th percentiles for each cover type per calendar year. Digital Earth Africa provides this data under a Creative Commons Attribution 4.0 license.
North Atlantic data from ship-board experiments examines the role of food quality, including carbon, nitrogen, and fatty acid content, in regulating egg production of the copepod Calanus finmarchicus. Complementary tracer experiments investigate the organism's ability to synthesize essential fatty acids. The dataset was produced by SCIOPS, with experiments conducted during spring and autumn Marine Productivity cruises.
Multispectral images from the Kanopus-V satellite's Multiband Surveying Sensor capture Earth's surface in four spectral bands: blue (460-520 nm), green (510-600 nm), red (630-690 nm), and near-infrared (750-840 nm). The sensor provides a nadir spatial resolution of 12 meters and a swath width of 20 km, with a revisit frequency ranging from 3 to 16 days depending on latitude. Data is provided by the CEOS_EXTRA organization for monitoring anthropogenic and natural emergencies.
Microprobe data for major and minor elements, including Fosterite, Enstatite, metal grains, and platinum group elements, from rock and meteoritic debris samples collected at Graphite Peak, Antarctica. Noble gas measurements on magnetic grains and carbon carriers like fullerenes are also included. The dataset, provided by SCIOPS, includes SEM and microprobe images for identified magnetic grains and meteoritic fragments.
The World Mangrove Atlas provides a global overview of mangrove distribution. It maps mangrove extent in over 100 countries, gathering data from a wide range of sources. The atlas was created by CEOS_EXTRA.
96 to 255 narrow spectral bands between 400 and 1100 nm capture surface reflectance. The sensor provides a 30-meter spatial resolution with a 3-day revisit frequency and a 25-kilometer swath width. Data is collected by the Resurs-P N2 satellite operated by CEOS_EXTRA.
GIS and Farmland Preservation in New Jersey is a project exploring the integration of geospatial technologies into spatially explicit land use policies. The analysis focuses on case studies from Hunterdon County and Burlington County, NJ, selected for their robust geographic information systems and lengthy farmland preservation histories. The work was conducted by the organization SCIOPS and sourced from NASA's Earthdata platform.
Sediment yield data for rivers and reservoirs worldwide, searchable by river, country, and continent. The database was compiled by HR Wallingford on behalf of the FAO Land and Water Development Division and is currently in a test phase. It provides annual sedimentation records and explanatory data.
Over 550 slides and pictures illustrate the thirty reference soil groups defined by the World Reference Base for Soil Resources. The dataset combines the complete text of a FAO World Soil Resources Report with additional multimedia content. It was compiled by the CEOS_EXTRA organization and released in conjunction with the FAO report.
Geospatial data shows cattle and buffalo distribution for sub-Saharan, East, and Central Africa. It was created for an East Coast Fever study to map disease risk and potential transmission between wildlife and livestock. The study was conducted in Nairobi by UNEP/GRID and the International Livestock Research Institute.