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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,887 datasets
Global boreal forest vegetation data from 1994, derived from 1-km FASIR-NDVI maps by Jing Chen and averaged to a 10' by 5' latitude/longitude grid. The dataset contains processed images where each pixel represents the average NDVI value, with a zero-value assignment for areas with over 50% cloud or missing data. It is maintained by ORNL_CLOUD and appears on multiple authoritative platforms.
2020 reference year data for livestock density in Somalia, provided by the IGAD Climate Prediction and Applications Center (ICPAC). The dataset contains geospatial layers for six species—buffalo, cattle, sheep, goats, pigs, and chickens—at a resolution of approximately 10 km at the equator. It represents the fourth version of the Global Livestock of the World (GLW) data, featuring updated subnational distribution data and more detailed metadata.
Varieties of Crop Kinds Registered in Canada lists plant varieties officially registered for commercial use in the country. The dataset is maintained by the Canadian Food Inspection Agency and was last updated in April 2026.
Historical manual street cleaning schedules for the wards of York, covering periods before and after a policy change on 1 August 2016. The dataset is provided by the Government Digital Service and is published under an OGL-UK-3.0 license. These schedules are explicitly noted as no longer valid and are kept for historical purposes only.
2026-03-18 is the last update date for this list of provincially licensed operators that collect, transport, process, and dispose of dead farm animals in Ontario. It includes facility type, name, location, and contact information. The dataset is maintained by the Government of Ontario's Ministry of Agriculture, Food and Agribusiness and Ministry of the Environment, Conservation and Parks.
Seven action domains were identified as critical for transforming the food system in North Yorkshire using the Three Horizons process. The dataset was authored by Sam J. Buckton and is available under a CC-BY-4.0 license. It was last updated on April 16, 2026.
A reference list of OpenStreetMap categories, keys, and associated values used to extract thematic raster layers for input features. The dataset is 9.5 KB in size and was authored by Yue Li. It was last updated on April 16, 2026.
Western Amhara Region, Ethiopia is the geographic scope for this dataset. It likely contains measurements of the intersection area between tef and its host crops. The dataset is 5.5 KB in size and was authored by Melkamu Birhanie Mekonnen, last updated on April 16, 2026.
9.5 KB Excel file from figshare contains data on environmental contributions to modeling tef crop and Tef head smudge disease. The dataset was authored by Melkamu Birhanie Mekonnen and last updated in April 2026. Its small size suggests it likely contains a focused set of variables.
A multivariable logistic regression model analyzing predictors of Toxoplasma gondii seropositivity in cattle. The dataset is 5.5 KB in size and was authored by Ruzanna Gevorgyan. It was last updated on April 16, 2026.
A research document analyzing the role of the AGR2 protein in tumor progression and macrophage polarization. The study uses pan-cancer expression data from TCGA, in vitro experiments with recombinant AGR2, and in vivo models of melanoma and lung carcinoma. The document was authored by Naming Wu and last updated on March 18, 2026.
Data from benthic incubation chamber experiments using deuterium and caesium tracers to model bio-irrigation rates in Port Phillip Bay. The dataset likely contains measurements from seven chambers deployed at four sites, indicating advection rates between 150 and 700 mL h-1 to depths of 20-50 cm. The data was published by Geoscience Australia Data and was last updated on 2026-03-25.
Data from three NHANES cycles (2009–2014) and the MyPyramid Equivalents Database (MPED) was integrated by Jiefan Liu to investigate non-linear dietary predictors of cardiovascular disease risk in older adults with periodontitis. The dataset includes results from six machine learning models and an external validation study of 183 older adults. It was last updated on 2026-03-18.
Data from three NHANES cycles (2009–2014) and the MyPyramid Equivalents Database (MPED) was used to investigate non-linear relationships between diet and cardiovascular disease risk in older adults with periodontitis. The dataset includes results from an external validation study of 183 older adults and features selected using the BORUTA algorithm. It was authored by Jiefan Liu and last updated on March 18, 2026.
Data from three NHANES cycles (2009–2014) and the MyPyramid Equivalents Database (MPED) were integrated to investigate non-linear dietary predictors of cardiovascular disease risk in older adults with periodontitis. The dataset was used to construct six machine learning models, with an external validation cohort of 183 older adults. The dataset was authored by Jiefan Liu and last updated on March 18, 2026.
The Groningen-Assen region in the Netherlands is the focus of this document exploring food as a framework for regional orientation. It is a PDF publication from the Dutch Ministry of the Interior and Kingdom Relations, licensed under CC-BY-4.0. The last update date and specific data dimensions are unknown.
Forestry Commission England's Headline Performance Indicator dataset measures the percentage of woodland under active management. The data is derived from administrative sources like grant schemes and felling licenses, integrated into a 25-meter resolution raster file. It provides a snapshot of management status for English woodland as of 31 March 2016.
A geospatial raster dataset from the UK Forestry Commission indicating the active management status of woodlands in England as of 31 December 2016. The data underpins a headline performance indicator, defining 'actively managed' woodland through ten administrative criteria including grant schemes and public estate land. The raster file uses a 25-meter cell resolution with values of 0 for unmanaged and 1 for managed woodland.
A 25-meter resolution raster file for England, dated 30 June 2021, indicates the active management status of woodlands. The data is the source for a Forestry Commission performance indicator, defining 'actively managed' woodland based on ten administrative criteria, including grant schemes and public estate land. The denominator for the percentage calculation is the total woodland area from the National Forest Inventory.
Forestry Commission data maps all woodland in England over 0.5 hectares with a minimum 20% canopy cover or potential. The inventory is updated annually using Ordnance Survey MasterMap, Sentinel 2 imagery, aerial photography, and grant scheme data. Woodland areas are classified into 16 interpreted forest types, such as Conifer, Broadleaved, and Felled.