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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,876 datasets
FEWS NET geographic data projects acute food insecurity classifications across Burkina Faso for the near term in 2012. The dataset is archived in GEOJSON and KML formats under a CC-BY-4.0 license. FEWS NET, the Famine Early Warning Systems Network, created this data, which was last updated on the HDX platform in April 2026.
Afghanistan's geographic data classifies acute food insecurity using the Integrated Food Security Phase Classification (IPC) framework. The dataset includes classifications for at least the years 2012 and 2021, likely mapping the severity and location of food crises. It originates from the Famine Early Warning Systems Network (FEWS NET), though the primary data warehouse is noted as currently unavailable.
Somalia's 2019 geographic data on acute food insecurity classifications, produced by the Famine Early Warning Systems Network (FEWS NET). The dataset contains near-term projections of food security status across regions, archived on HDX due to the unavailability of the original FEWS NET Data Warehouse.
FEWS NET geographic data classifies acute food insecurity across Zambia for the year 2015. The dataset is archived as the original FEWS NET Data Warehouse is unavailable. It was last updated on the HDX platform in April 2026.
2018 geographic data contains medium-term projections of acute food insecurity classifications for Mozambique. The dataset was produced by the Famine Early Warning Systems Network (FEWS NET) and is archived on HDX as the original data warehouse is unavailable.
Geospatial data from FEWS NET classifies acute food insecurity across Burkina Faso for the year 2011. The dataset is archived as the original FEWS NET Data Warehouse source is unavailable. It was last updated on the HDX platform in April 2026.
Historical Forestry-Related Features contain geospatial data on forest reserves, timber berths, fire patrol routes, and administrative boundaries in Alberta from the early 20th century. The collection includes features such as Dominion Forestry Branch forest surveys from 1910-1915 and Alberta Forest Service district boundaries circa 1938. It was published by the Government of Alberta and last updated in March 2026.
FEWS NET provides geospatial data classifying acute food insecurity levels across Kenya for 2016, including medium-term projections. The dataset is archived in GEOJSON and KML formats under a CC-BY-4.0 license. The original FEWS NET Data Warehouse source is currently unavailable.
2016 and 2018 data from the Famine Early Warning Systems Network (FEWS NET) provides geographic classifications of acute food insecurity in Madagascar. The dataset likely contains area-based classifications using the Integrated Food Security Phase Classification (IPC) framework. The underlying FEWS NET Data Warehouse source is noted as currently unavailable, and the datasets on HDX have been archived.
FEWS NET's archived geographic data provides near-term projections of acute food insecurity classifications for Burkina Faso. The data likely contains IPC (Integrated Food Security Phase Classification) phase designations for administrative areas. It represents a snapshot of projected food security conditions for the years 2014 and 2015.
Geospatial data classifying acute food insecurity levels across Liberia for the year 2016. The dataset was produced by FEWS NET (Famine Early Warning Systems Network) and has been archived on the HDX platform. It contains geographic boundaries and associated classification labels.
Mali geographic data contains FEWS NET acute food insecurity classifications for the year 2015. The dataset is archived as the FEWS NET Data Warehouse is unavailable. It was last updated on the platform in April 2026.
FEWS NET geographic data classifies acute food insecurity across Malawi for 2019. The dataset is archived as the original FEWS NET Data Warehouse is unavailable. It was last updated on the HDX platform in April 2026.
Burkina Faso geographic data contains FEWS NET acute food insecurity classifications for a near-term projection in 2011. The dataset is archived in GEOJSON and KML formats. It was produced by the Famine Early Warning Systems Network (FEWS NET).
A dataset from e-cienciaDatos Harvested Dataverse describes a validated analytical method for extracting and quantifying glycoalkaloids in potato-based snack products. The method, developed by author Martínez García, Isabel, uses ultrasound-assisted and vacuum manifold-assisted pipette tip solid-phase extraction with MSU-2-C18 sorbent, followed by UHPLC-MS/MS analysis. It was applied to four commercial snack products, revealing glycoalkaloid levels ranging from 2.0 to 16.0 mg/kg fresh weight.
Six tomato varieties, three local and three commercial, were subjected to two water stress regimes in a greenhouse assay. Physiological and biochemical parameters, including stem water potential, lipid peroxidation, and antioxidant capacity, were measured to assess drought response and recovery. The dataset contains the original data for a 2023 study published in Agricultural Water Management.
Harmonized household survey data from LSMS-ISA linked with rainfall and seasonality indicators for sub-Saharan Africa. The dataset supports analysis of how pregnancy and childbirth timing relative to peak agricultural labor demand affects labor supply, yields, food security, and child health. The data was processed by the International Centre of Insect Physiology and Ecology (icipe) for IZA/FCDO G²LM|LIC Project 918.
Geological outcrop information collected by field geologists from the Geological Survey of Victoria. The dataset is maintained by the Department of Energy, Environment and Climate Action and was last updated in April 2026. Specific metrics on size and row count are not provided.
Ingenium's Annual Report documents the work of three national Canadian museums: the Canada Agriculture and Food Museum, the Canada Aviation and Space Museum, and the Canada Science and Technology Museum. The report includes information on the Ingenium Centre's artifact collections, conservation labs, research institute, and digital innovation lab, as well as corporate governance and strategic progress. It is published by the Canada Science and Technology Museum under the OGL-CA-2.0 license and was last updated on April 9, 2026.
District of Columbia data delineates arborist planting zones managed by the Urban Forestry Administration. The dataset supports the UFA's mission to maintain a healthy and safe street tree canopy. It was last updated in April 2026.