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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,902 datasets
Ontario data provides estimated hunter activity and harvest numbers for white-tailed deer, broken down by wildlife management unit and calendar year. Estimates for antlered, antlerless, and total harvest are derived from a sample of resident hunters and are subject to statistical error.
A list of provincially licensed non-shopkeeper distributors transporting fluid milk products in Ontario. It includes business name, address, phone number, and licence number for each entity. The dataset is provided by the Government of Ontario and was last updated in February 2026.
A list of Student Nutrition Program sites at schools and community locations across Ontario. It includes school name, Ministry of Education school ID, school board, address, and program type (breakfast, lunch, or snack). The data is provided by the Government of Ontario and was last updated in March 2026.
February and March 2025 surveys of ESA-listed Acropora globiceps and Isopora crateriformis coral colonies in Tutuila, American Samoa. The data includes site-level density and colony-level partial mortality, size, and bleaching, collected by SCUBA divers from the Pacific Islands Fisheries Science Center. This metadata record will be updated as additional data from imagery, genomics, and temperature records is collected until 2027.
Hawaii consumer perceptions and preferences were surveyed in 2010, collecting 523 responses online and in-person. The National Oceanic and Atmospheric Administration conducted the survey to investigate awareness of production methods, labeling, environmental issues, food safety, nutrition, and consumption patterns. A conjoint analysis estimated willingness to pay for tuna, salmon, tilapia, and moi.
Elk harvest data provides absolute counts of bull, cow, and total elk harvests by harvest area and calendar year. The dataset is compiled from mandatory reports submitted by elk tag holders in Ontario.
Pesticide analysis data for drinking water, published by the Government of Prince Edward Island on the open_canada platform. The dataset was last updated on 2026-04-17. Its specific content, scale, and temporal coverage require verification after download.
Pesticide analysis data for stream sediment, likely containing measurements of chemical concentrations. The dataset is published by the Government of Prince Edward Island on the open_canada platform. It was last updated on 2026-04-17 15:34:54.761453.
Santa Clara County's Environmental Health department provides a list of approved Cottage Food Operations. The dataset includes permit numbers, expiration dates, facility names, and city locations. It was last updated in April 2026.
Costs associated with livestock rabies over the two study years from 2017/8 to 2018/9. The dataset, authored by Tewodros Birhan Engida, is a 5.5 KB Excel file published on figshare under a CC-BY-4.0 license. It was last updated on April 20, 2026.
A source of dekadal NDVI indicators for Vietnam aggregated by sub-national administrative units using NASA MODIS collection 6.1 satellite data. Produced by the World Food Programme, it tracks vegetation health through 10-day intervals, long-term averages, and percentage anomalies.
Dekadal (10-day) NDVI vegetation indicators for Uganda's sub-national administrative units, derived from NASA MODIS collection 6.1 satellite imagery. Produced by the World Food Programme (WFP), the data aggregates spectral observations into administrative boundaries to monitor agricultural health and drought conditions.
Zimbabwe sub-national NDVI indicators derived from NASA MODIS collection 6.1 satellite data, aggregated by the World Food Programme (WFP). These records provide dekadal (10-day) measurements including current values, long-term averages, and percentage anomalies. Data is organized by administrative units using WFP Pcode references.
Supplying dekadal (10-day) Normalized Difference Vegetation Index (NDVI) indicators for Panama, aggregated by sub-national administrative units using NASA MODIS collection 6.1 satellite data. Produced by the World Food Programme (WFP), the records include current NDVI values, long-term averages, and percentage anomalies updated through March 2026.
Tunisia dekadal NDVI indicators aggregated by sub-national administrative units using NASA MODIS collection 6.1 satellite data. Produced by the World Food Programme, the data tracks vegetation health through 10-day intervals, including historical averages and percentage anomalies.
A source of dekadal (10-day) Normalized Difference Vegetation Index (NDVI) indicators for Romania, aggregated by sub-national administrative units using NASA MODIS collection 6.1 satellite data. Produced by the World Food Programme (WFP), the records include current vegetation values, historical averages, and percentage anomalies. The data is current as of March 2026 and utilizes WFP-standardized administrative boundaries.
Dekadal NDVI indicators for Paraguay aggregated by sub-national administrative units, derived from NASA MODIS collection 6.1 satellite imagery. Produced by the World Food Programme, the data includes 10-day vegetation indices, long-term averages, and percentage anomalies for environmental monitoring.
Offering dekadal NDVI indicators for Venezuela's sub-national administrative units, derived from NASA MODIS collection 6.1 satellite imagery. Maintained by the World Food Programme, the data tracks vegetation health through 10-day indices, long-term averages, and percentage anomalies updated through March 2026.
The World Food Programme (WFP) provides this dataset of dekadal (10-day) NDVI indicators for Mexico, derived from NASA’s MODIS collection 6.1 satellite imagery. It tracks vegetation health across sub-national administrative units using Aqua and Terra sensor data to calculate current values and historical anomalies.
A monthly time series from 1987 to present provides estimated water volume for On-Farm Storages across five valleys in Australia's northern Murray-Darling Basin. The data is derived using a two-step remote sensing approach combining Landsat and Sentinel-2 satellite imagery with LiDAR-derived storage capacity curves. Spatial Services (DCS) updates the dataset monthly with cloud-free imagery.