Loading...
Loading...
Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,750 datasets
Landsat 8 time-series data from 2014-2017 underpins this global map of agricultural land, distinguishing irrigated and rainfed cropland at a 30-meter resolution. The product calculates national-level areas for both irrigation types to support analysis of food and water security. Each 10° by 10° tile includes a classification layer and an accuracy assessment.
From 2003 to 2004, this dataset provides soil and foliar nutrient measurements from 17 cattle ranches and nearby primary forest sites in the state of Rondonia, southwestern Brazilian Amazon. Soil data includes bulk density, class, texture, and concentrations of carbon, phosphorus, calcium, magnesium, and potassium. Grass nutrient data covers nitrogen and the same elements across three phenologically distinct grass materials sampled in wet and dry seasons.
Soil nitrate content and physical properties were measured for one year following reduced impact logging in a 1,400-hectare block of the Brazilian Amazon. The dataset includes samples from nine logging gaps and nine undisturbed forest patches, collected to depths of 8 meters. Results quantify subsoil nitrate accumulation to test the effects of nitrogen loss from logging debris.
Rondonia, Brazil, hosts this dataset of spectral reflectance and biophysical measurements from grass pastures on eight cattle ranches. Fieldwork in July and August 2003 collected 484 spectral samples and 68 coincident biophysical samples, covering wavelengths from 350 to 2,500 nm at 1-nm increments. The data includes separated live and senesced biomass for primary grass species Brachiaria brizantha and Brachiaria decumbens.
94 candidate genes for odorant degrading enzymes (ODEs) identified from antennal transcriptome sequencing of the white-spotted flower chafer, Protaetia brevitarsis. The dataset includes 23 carboxylesterases, 40 cytochrome P450s, 21 glutathione S-transferases, and 10 UDP-glycosyltransferases, with 16 genes showing enriched antennal expression. Author Yi Lu published the dataset on figshare under a CC-BY-4.0 license, last updated on 2026-06-03.
Protaetia brevitarsis, an agricultural pest, was studied to identify genes for odorant degrading enzymes (ODEs). The dataset lists 94 candidate genes from four enzyme families identified via antennal transcriptome sequencing, with 16 genes showing antennae-enriched expression. Author Yi Lu published the work on figshare under a CC-BY-4.0 license, with a last update in June 2026.
SCANFI is a set of 30-meter resolution raster files providing wall-to-wall maps for Canada's non-arctic landmass in 2020. The product includes broad land cover type, forest canopy height, crown closure, aboveground tree biomass, and species composition for several major tree species. It was developed by Natural Resources Canada using the National Forest Inventory photo-plot dataset, Landsat imagery, and regional k-nearest neighbours and random forest models.
Daily 250-meter resolution estimates of gross primary productivity (GPP), photosynthetically active radiation (PAR), soil-adjusted near infrared reflectance of vegetation (SANIRv), and C4 crop fraction cover the conterminous United States from 2000 to 2019. The SLOPE algorithm couples machine learning with MODIS satellite data from Terra and Aqua, achieving a reported R2 of 0.84 and an RMSE of 1.65 gC m-2 d-1 for GPP. It provides per-pixel daily values along with quantitative uncertainty estimates.
173 measurement campaigns from 2001-2008 integrate ground-based hyperspectral canopy reflectance (400-1100 nm), AmeriFlux tower GPP estimates, and satellite-derived vegetation indices for corn and soybean fields near Lincoln, Nebraska. The dataset includes ground measurements of total chlorophyll content and leaf area index, collected at 5.4 m above the canopy during growing seasons from May to October. Companion files provide algorithms relating spectral information to flux-based estimates of gross primary production.
SAFARI 2000 Land Cover from AVHRR is a regional subset of the University of Maryland's 8-km global land cover product. It classifies land cover into 13 classes using 1984 NASA/NOAA Pathfinder Land data, incorporating red, infrared, thermal bands, and NDVI to improve discrimination. The dataset supports research on land use change and vegetation dynamics in southern Africa.
280 images capture 6,766 instances of Hu sheep exhibiting four behaviors: standing, lying, eating, and drinking. Suoxiang Zhang created this dataset to address challenges in dense animal detection and class imbalance for computer vision models. The dataset was last updated on May 18, 2026.
OpenStreetMap water features for Anguilla, including rivers, streams, canals, lakes, and ponds. The Humanitarian OpenStreetMap Team (HOT) exports this data under the ODbL license, with a last recorded update in May 2026. Completeness varies, with urban areas likely better mapped than remote regions.
OpenStreetMap exports of sea ports and ferry terminals in Anguilla, tagged via `amenity`, `building`, or `port`. The Humanitarian OpenStreetMap Team (HOT) provides this data, last updated on 2026-05-10. Completeness varies by region, with urban areas typically well-mapped and remote areas potentially incomplete.
OpenStreetMap exports provide a road network across Anguilla, including features tagged with the 'highway' key such as motorways, residential streets, footways, and trails. The Humanitarian OpenStreetMap Team (HOT) maintains this data, which was last updated on 2026 05 10. Completeness varies by region, with urban areas likely being more detailed than remote areas.
Health facilities in Anguilla exported from OpenStreetMap. The data includes locations tagged as hospitals, clinics, pharmacies, doctors, and dentists. It was last updated on 2026-05-10 by the Humanitarian OpenStreetMap Team.
Anguilla points of interest exported from OpenStreetMap. The data includes public-facing amenities, shops, tourist attractions, and landmarks tagged via OSM keys. It was last updated on 2026-05-10 by the Humanitarian OpenStreetMap Team.
Antarctica Sea Ports (OpenStreetMap Export) contains geospatial data for sea ports and ferry terminals in Antarctica, extracted from the OpenStreetMap collaborative world map. The dataset is provided by the Humanitarian OpenStreetMap Team (HOT) and was last updated on 2026-05-10. It is tagged via OSM keys such as `amenity`, `building`, or `port`.
A road network across Angola exported from OpenStreetMap, last updated on 2026-05-10. It includes all features tagged with the 'highway' key, such as motorways, residential streets, and footways. The Humanitarian OpenStreetMap Team (HOT) provides this data under the Open Database License (ODbL-1.0).
OpenStreetMap water features across Angola, including rivers, streams, canals, lakes, and ponds. The Humanitarian OpenStreetMap Team (HOT) exported this data, which was last updated on 2026-05 10. Completeness varies, with urban areas likely more detailed than remote regions.
OpenStreetMap exports provide the road network across Albania, including all features tagged with the `highway` key. The Humanitarian OpenStreetMap Team (HOT) maintains this data, which was last updated on 2026-05-10. Completeness of the map varies by region, with urban areas likely being more detailed than remote areas.