Loading...
Loading...
Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,265 datasets
OpenStreetMap exports provide a detailed road network for Côte d'Ivoire, including motorways, residential streets, and footways. The Humanitarian OpenStreetMap Team (HOT) compiled this data, last updated in May 2026. Completeness varies, with urban areas likely well-mapped and remote areas potentially incomplete.
Water features across Côte d'Ivoire exported from OpenStreetMap. The data includes rivers, streams, canals, lakes, ponds, and other water bodies tagged with `waterway`, `water`, or `natural=water`. It was last updated on 2026-05-14 and is provided by the Humanitarian OpenStreetMap Team (HOT).
OpenStreetMap data for Chile includes museums, galleries, theatres, places of worship, monuments, and historic sites. The dataset is built by volunteers, with completeness varying by region, and is exported by the Humanitarian OpenStreetMap Team. It was last updated on 2026-05-14.
OpenStreetMap data exports for sea ports and ferry terminals in Chile, tagged via `amenity`, `building`, or `port`. The Humanitarian OpenStreetMap Team (HOT) maintains this dataset, which was last updated on 2026-05-14. Completeness varies by region, with urban areas typically better mapped than remote areas.
OpenStreetMap data for health facilities in Chile, including hospitals, clinics, pharmacies, doctors, and dentists. The dataset is exported by the Humanitarian OpenStreetMap Team and was last updated on 2026-05-14. Completeness varies by region, with urban areas likely being better mapped than remote ones.
OpenStreetMap points of interest for Chile, exported by the Humanitarian OpenStreetMap Team. The data includes public-facing amenities, shops, tourist attractions, and landmarks tagged via OSM keys. Completeness varies by region, with urban areas likely being more complete than remote areas.
Five files contain measurements of nutrient concentrations, biomass, and decomposition rates for roots, litterfall, leaves, and twigs. Samples were collected from 1999 to 2001 at a eucalyptus plantation and adjacent primary forest in Monte Dourado, Para, Brazil, across rainy and dry seasons and three soil depths. The dataset was produced by NASA but carries a formal quality statement noting significant documentation gaps.
Approximately 50 land cover classifications detail vegetation and human land use across the Amazon Basin. This 1-degree resolution dataset, created by Wilson and Henderson-Sellers for the LBA experiment, integrates soil properties like color, texture, and drainage with primary and secondary vegetation types. It was designed for use in general circulation models and includes reliability rankings for both soil and land cover data.
Fourteen forest stands of Scots pine in the Tomsk and Irkutsk regions of Siberia, Russia, are documented. Field measurements from 1968-1974 provide components of net primary productivity, standing biomass, age, stand structure, and litterfall. This dataset was compiled by the NASA Terrestrial Ecology Program and is part of a larger global NPP data collection.
Global wetlands data provides distribution and environmental characteristics of natural wetlands at a 1-degree latitude by longitude resolution. Compiled by Matthews and Fung in 1987, it integrates vegetation classification from UNESCO, soil properties from FAO maps, and fractional inundation from Operational Navigation Charts. The dataset was developed specifically to evaluate the role of wetlands in annual methane emissions from terrestrial sources.
OpenStreetMap exports for Chile contain water features tagged with `waterway`, `water`, or `natural=water`. The data includes rivers, streams, canals, lakes, and ponds, exported by the Humanitarian OpenStreetMap Team (HOT). Completeness varies by region, with urban areas typically better mapped than remote ones.
A road network dataset for Chile, exported from OpenStreetMap. It includes all features tagged with `highway`, such as motorways, residential streets, service roads, footways, and trails. The data was last updated on 2026-05-14 and is provided by the Humanitarian OpenStreetMap Team.
Serhii Nikulin's dataset contains Contour Density Indicator (CDI) modal values derived from Sentinel-2 satellite imagery to assess changes in agricultural landscapes. The data covers a region in southern Ukraine from 2020 to 2024, a period that includes military operations. The analysis demonstrates a systematic decline in CDI values, with a drop of up to 55% in the battle-line zone relative to 2020.
Safia Arbab's dataset from a 2026 figshare publication contains results from 123 retail meat samples collected in Sindh, Pakistan. It includes the prevalence of Gram-negative bacteria like Escherichia coli (37.4%) and Klebsiella spp. (25.2%) and their antimicrobial susceptibility patterns. The data shows high levels of resistance to antibiotics such as ampicillin and amoxicillin-clavulanate.
Field trial data from six on-farm experiments conducted in 2023 and 2024 as part of the Data-Intensive Farm Management project. The dataset, authored by Karen J Truter, was last updated on 2026-06-02 and is licensed under CC-BY-4.0. It was used to model profit-maximizing seeding and fertilizer rates and assess the influence of soil physical properties on yield variability.
OpenStreetMap exports provide points of interest across Switzerland. The data includes public-facing amenities, shops, tourist attractions, and landmarks tagged via OSM keys. The Humanitarian OpenStreetMap Team (HOT) maintains this export, last updated on 2026-05-14.
An OpenStreetMap export of cultural and historic places in Switzerland, last updated 2026-05-14. The dataset includes museums, galleries, theatres, places of worship, monuments, and historic sites, tagged via OSM keys like tourism, amenity, historic, and heritage. It was produced by the Humanitarian OpenStreetMap Team (HOT) and is available in multiple geospatial formats.
Switzerland's sea ports and ferry terminals exported from OpenStreetMap. The data is compiled by the Humanitarian OpenStreetMap Team (HOT) and was last updated on 2026-05-14. Completeness varies by region, with urban areas typically better mapped than remote locations.
OpenStreetMap data provides a free, volunteer-built map of health facilities across Switzerland. The dataset includes hospitals, clinics, pharmacies, doctors, and dentists tagged via `amenity` or `healthcare` keys. Completeness varies by region, with urban areas likely being well-mapped while remote areas may be incomplete.
Water features across Switzerland exported from OpenStreetMap. The data includes rivers, streams, canals, lakes, ponds, and other water bodies tagged with `waterway`, `water`, or `natural=water`. It is provided by the Humanitarian OpenStreetMap Team (HOT) and was last updated on 2026-05-14.