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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,757 datasets
OpenStreetMap data for settlements and residential areas in the Caribbean islands of Bonaire, Sint Eustatius and Saba. The dataset includes named cities, towns, villages, suburbs, and residential land, exported by the Humanitarian OpenStreetMap Team (HOT). It was last updated on 2026-05-14.
OpenStreetMap data for settlements and residential areas in Benin, including named cities, towns, villages, and suburbs. The dataset is an export by the Humanitarian OpenStreetMap Team (HOT) and was last updated on 2026-05-14. Completeness varies by region, with urban areas likely being more complete than remote areas.
A road network across Sudan exported from OpenStreetMap, last updated on 2026-05-09. It includes all features tagged with `highway`, such as motorways, residential streets, service roads, footways, and trails. The data is provided by the Humanitarian OpenStreetMap Team (HOT) and is useful for applications like routing and accessibility analysis.
OpenStreetMap exports provide water features across Sudan, including rivers, streams, canals, lakes, ponds, and water bodies. The Humanitarian OpenStreetMap Team (HOT) compiled this data, last updated on 2026-05-09. Completeness varies by region, with urban areas likely being more thoroughly mapped than remote areas.
Points of interest from OpenStreetMap for Sudan, including public-facing amenities, shops, tourist attractions, and landmarks. The data is built by volunteers and its completeness varies, with urban areas likely being better mapped than remote regions. It was last updated on 2026-05-09 and is provided by the Humanitarian OpenStreetMap Team.
OpenStreetMap exports of sea ports and ferry terminals in Sudan, tagged via `amenity`, `building`, or `port`. The data was last updated on 2026-05-09 and is provided by the Humanitarian OpenStreetMap Team. Completeness varies by region, with urban areas likely more complete than remote areas.
This dataset maps health facilities in Sudan, including hospitals, clinics, pharmacies, doctors, dentists, tagged via `amenity` or `healthcare`. It is derived from OpenStreetMap, a collaborative global map. Data completeness varies by region, with urban areas typically well-mapped and remote areas potentially incomplete. The dataset is useful for service-access analysis, emergency response planning, and healthcare gap mapping.
A 30 m Multi-Year Dataset of Major Crop Distributions in Xinjiang, China (2013–2024) provides annual maps of crop types across Xinjiang. The maps were generated by Qixiang Liang using Harmonized Landsat–Sentinel-2 data and a Random Forest classifier on Google Earth Engine. The dataset covers 12 years and includes eight thematic classes such as cotton, maize, wheat, and rice.
Settlements and residential areas for Burundi exported from OpenStreetMap. The data includes named cities, towns, villages, suburbs, and residential land use polygons. It was compiled by the Humanitarian OpenStreetMap Team and last updated on 2026-05-14.
An OpenStreetMap export of settlements and residential areas in Azerbaijan, including named cities, towns, villages, and suburbs. The data is provided by the Humanitarian OpenStreetMap Team (HOT) and was last updated on 2026-05-14. Completeness varies by region, with urban areas typically well-mapped and remote areas potentially incomplete.
OpenStreetMap data for Austria provides settlements and residential areas, including named cities, towns, villages, suburbs, and residential land. The dataset is exported by the Humanitarian OpenStreetMap Team (HOT) and was last updated on 2026-05-14. Completeness varies by region, with urban areas typically well-mapped and remote areas potentially incomplete.
Antigua and Barbuda settlements and residential areas exported from OpenStreetMap. It includes named cities, towns, villages, suburbs, and residential land areas. The data was last updated on 2026-05-13 and is provided by the Humanitarian OpenStreetMap Team.
OpenStreetMap data provides settlements and residential areas for American Samoa, including named cities, towns, villages, and suburbs. The Humanitarian OpenStreetMap Team (HOT) exported this data, which was last updated on 2026-05-13. Completeness varies by region, with urban areas likely being better mapped than remote locations.
A metabolomics dataset from a controlled postharvest experiment on Camellia oleifera seeds, published by Jianwen Wu in 2026. It includes untargeted UHPLC–Orbitrap metabolomics and targeted GC–MS quantification of 49 free fatty acids across four experimental regimes. The data compares untreated seeds with those subjected to hot-humid holding alone and holding preceded by high-pressure processing at 100 or 500 MPa.
A metabolomics dataset from a controlled postharvest model of Camellia oleifera seeds. It integrates untargeted UHPLC–Orbitrap metabolomics with targeted GC–MS quantification of 49 free fatty acids across four treatment regimes. The dataset was authored by Jianwen Wu and last updated on 2026-05-21.
Metabolomic data from a controlled postharvest experiment on Camellia oleifera seeds. The dataset includes untargeted UHPLC–Orbitrap metabolomics and targeted GC–MS quantification of 49 free fatty acids across four treatment regimes. It was authored by Jianwen Wu and published on figshare under a CC-BY-4.0 license in May 2026.
Forty-two free fatty acids were quantified in Camellia oleifera seeds under four postharvest regimes. Jianwen Wu authored this metabolomics study, which was last updated on 2026-05-21. The dataset likely contains targeted GC–MS quantification of 49 free fatty acids and untargeted UHPLC–Orbitrap metabolomics data.
Jianwen Wu's dataset contains metabolomic profiles of Camellia oleifera seeds under postharvest stress. It integrates untargeted UHPLC–Orbitrap metabolomics with targeted GC–MS quantification of 49 free fatty acids across four experimental regimes. The data was last updated on 2026-05-21.
A metabolomics dataset from a 2026 study by Jianwen Wu investigating the effects of high-pressure processing on lipid mobilization in Camellia oleifera seeds during a hot-humid postharvest window. It includes untargeted UHPLC–Orbitrap metabolomics and targeted GC–MS quantification of 49 free fatty acids across four experimental regimes. The data is provided in an XLSX file under a CC-BY-4.0 license.
Metabolomic data from a controlled postharvest experiment on Camellia oleifera seeds. The dataset includes targeted quantification of 49 free fatty acids and untargeted metabolomics across four experimental regimes. It was authored by Jianwen Wu and last updated on 2026-05-21.