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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
16,877 datasets
Djibouti's water features, including rivers, streams, canals, lakes, and ponds, are mapped from OpenStreetMap. The data is exported by the Humanitarian OpenStreetMap Team and is useful for flood-risk modelling and watershed analysis. Completeness varies by region, with urban areas typically better mapped than remote ones.
Samoa's health facilities exported from OpenStreetMap. The data includes hospitals, clinics, pharmacies, doctors, and dentists tagged via `amenity` or `healthcare` keys. It was last updated on 2026-05-15 by the Humanitarian OpenStreetMap Team.
Cultural and historic places in the Faroe Islands exported from OpenStreetMap. The data includes museums, galleries, theatres, places of worship, monuments, and historic sites tagged via tourism, amenity, historic, or heritage keys. It was last updated on 2026-05-15 and is provided by the Humanitarian OpenStreetMap Team.
OpenStreetMap exports for Afghanistan contain geospatial data on financial services tagged via the `amenity` key. The dataset includes banks, ATMs, post offices, money transfer agents, and microfinance branches. It was last updated on 2026-05-12 by the Humanitarian OpenStreetMap Team (HOT).
OpenStreetMap exports provide locations of financial amenities in Aruba, including banks, ATMs, and money transfer agents. The data is compiled by volunteer mappers and maintained by the Humanitarian OpenStreetMap Team. Its completeness likely varies, with urban areas being more thoroughly mapped than remote regions.
A study of 96 Creole chicken breast meat samples classified into PSE, RFN, and DFD quality categories. The dataset includes physicochemical measurements, such as pH at 24 hours postmortem, and dielectric spectroscopy readings from 20 Hz to 1 MHz. It was authored by Wilson Castro and last updated on 2026-05-19.
144 published mitochondrial sequences from Indian, South Asian, and global populations are integrated into phylogenetic trees constructed via Maximum Parsimony. Each node includes a time to TMRCA with a 95% confidence interval, calculated using Rho statistics. The dataset, authored by Anjana Welikala and updated in 2026, is a 116.7 KB Excel file.
Annual land cover maps for Victoria, Australia, derived from MODIS satellite time series analysis from at least 2009 onward. The dataset classifies each pixel into dominant land cover types like Tree, Non-tree, and Water using a hierarchical rule-based system and seasonal vegetation indices. It is validated with a rigorous, stratified annual ground sampling program.
Agassi Chun Wai Wong published a longitudinal cohort study on figshare. The dataset contains results from a 7-year study of 3,740 elderly Chinese subjects in Hong Kong, analyzing the association between Dietary Inflammatory Index (DII) scores and Geriatric Depression Scale (GDS) outcomes. The study found a significant positive association, particularly among females.
Jianwen Wu's dataset contains metabolomic and lipidomic measurements from Camellia oleifera seeds subjected to different postharvest treatments. The data includes untargeted UHPLC–Orbitrap metabolomics and targeted GC–MS quantification of 49 free fatty acids across four experimental regimes. The dataset was uploaded to figshare on 2026-05-21 and is licensed under CC-BY-4.0.
Points of interest from OpenStreetMap, exported by the Humanitarian OpenStreetMap Team. The data includes public-facing amenities, shops, tourist attractions, and landmarks tagged via specific OSM keys. Completeness varies by region, with urban areas likely being more detailed than remote areas.
Victorian Land Cover Mapping 2016 is an annual component of the Victorian Land Use Information System (VLUIS). The dataset was created by the Department of Energy, Environment and Climate Action using time series analysis of NASA MODIS sensor data and annual ground validation. It provides a hierarchical classification of land cover for Victoria, Australia.
OpenStreetMap exports provide a road network across Slovenia, including motorways, residential streets, footways, and trails. The Humanitarian OpenStreetMap Team (HOT) compiled this data, which was last updated on 2026-05-15. Completeness varies by region, with urban areas likely being well-mapped and remote areas potentially incomplete.
OpenStreetMap exports of water features across Suriname, provided by the Humanitarian OpenStreetMap Team (HOT). The data includes rivers, streams, canals, lakes, ponds, and other water bodies tagged with `waterway`, `water`, or `natural=water`. It was last updated on 2026-05-15.
South Sudan's road network exported from OpenStreetMap. It includes all features tagged with `highway`, such as motorways, residential streets, service roads, footways, and trails. The data is compiled by the Humanitarian OpenStreetMap Team (HOT) and was last updated on 2026-05-15.
Serbia's cultural and historic places exported from OpenStreetMap. The data includes museums, galleries, theatres, places of worship, monuments, and historic sites tagged via `tourism`, `amenity`, `historic`, or `heritage` keys. It was last updated on 2026-05-15 by the Humanitarian OpenStreetMap Team (HOT).
OpenStreetMap exports for Serbia contain public-facing amenities, shops, tourist attractions, and landmarks. The Humanitarian OpenStreetMap Team (HOT) provides this data, last updated on 2026-05-15. Completeness varies by region, with urban areas likely being more detailed than remote ones.
OpenStreetMap exports of sea ports and ferry terminals in Serbia, tagged via `amenity`, `building`, or `port`. The Humanitarian OpenStreetMap Team (HOT) provides the data, which was last updated on 2026-05-15. Completeness varies by region, with urban areas likely more complete than remote ones.
OpenStreetMap volunteer contributions provide a geospatial inventory of health facilities in Serbia, including hospitals, clinics, pharmacies, doctors, and dentists. The Humanitarian OpenStreetMap Team (HOT) exported this data, which was last updated on 2026-05-15. Completeness of the map varies, with urban areas likely being more thoroughly mapped than remote regions.
Road network data for Serbia exported from OpenStreetMap. It includes all features tagged with the `highway` key, such as motorways, residential streets, service roads, footways, and trails. The data is maintained by the Humanitarian OpenStreetMap Team and was last updated on 2026-05-15.