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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,864 datasets
354,837 people and 245,494 hectares of cropland were affected by a flood in Myanmar on June 6, 2025. The data is provided by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system. It was last updated on May 21, 2026.
Geospatial data from the WFP's ADAM system details the impact of a flood in Venezuela on June 27, 2025. The event affected an estimated 57,003 people and 100,038 hectares of cropland. The dataset is provided in GEOTIFF format and was last updated in May 2026.
Myanmar flood event data from July 29, 2025, produced by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system. The dataset estimates the event affected approximately 891,547 people and 500,878 hectares of cropland. It was last updated on May 21, 2026, and is provided in GEOTIFF format.
1494689 people and 750433 hectares of cropland were affected by a flood in Myanmar on August 04, 2025. The dataset is produced by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system. It was last updated on May 21, 2026.
An estimated 340,470 people and 533,962 hectares of cropland were affected by a flood in Sudan on August 4, 2025. The data is produced by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system for rapid humanitarian response. It was last updated on May 21, 2026.
Sudan experienced a flood on August 29, 2025, affecting an estimated 566,831 people and 805,036 hectares of cropland. The data is provided by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system, which collects and analyzes geospatial and socio-economic information following sudden-onset emergencies. The dataset was last updated on May 21, 2026.
An estimated 5,949,956 people and 892,075 hectares of cropland were affected by a flood in Pakistan on August 29, 2025. The dataset is provided by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system for geospatial analysis following sudden-onset emergencies. It was last updated on May 21, 2026.
Twelve research flights over a five-week period in early 2012 captured in situ atmospheric data. The University of North Dakota's Cessna Citation aircraft measured cloud microphysics, three-dimensional winds, turbulence, and aerosol properties during the GPM Ground Validation GCPEx campaign. Data is stored in separate files per flight, containing both primary derived parameters and raw instrument data.
This dataset combines field measurements and Landsat ETM+ satellite imagery to quantify canopy damage and recovery from selective logging in an eastern Amazon forest. The study, conducted by NASA, covers a 450-km² area in Cauaxi, Para, Brazil, and tracks post-harvest regrowth over a 0.5 to 3.5-year period. It compares reduced-impact and conventional logging practices, using spectral mixture analysis to estimate sub-pixel cover fractions of canopy, soil, and non-photosynthetic vegetation.
Spectral reflectance measurements for eggs from three passerine bird species in China. Data includes UV reflectance spectra from 300-700 nm wavelengths collected during breeding seasons from March to August in 2024 and 2025. The dataset was created by Qiqi Liu and published on figshare.
Proportion data for broadacre and dairy farms experiencing significant irrigation salinity issues across Australian Statistical Divisions. The Australian Bureau of Agricultural and Resource Economics and Sciences collected this data via a 1998-1999 supplementary survey accompanying the annual farm survey.
A depth-consistent survey of 5,187 soil profiles from 247 cropland sites across China introduces the Vertical Carbon Attenuation Coefficient (VCAC) metric. The dataset, authored by Andong Cai and last updated in May 2026, provides a quantitative framework for analyzing the vertical distribution of soil organic carbon. It is used to project changes in carbon architecture under future climate scenarios.
1996-1997 to 1998-1999 average annual cash income data for broadacre and dairy farms in Australia. The dataset, created by the Australian Bureau of Agricultural and Resource Economics and Sciences, reports income, relative standard error, and agricultural land area aggregated to the Statistical Division level.
Farm family Cash Income data provides three-year average annual cash income for broadacre and dairy farms from 1996-1997 to 1998-1999. The Australian Bureau of Agricultural and Resource Economics and Sciences collected the data via annual farm surveys and farm accounts. It is reported at the Statistical Division level for Australia.
1.4 GB of high-quality images of traditional Bengali dishes captured in diverse real-life settings. The dataset is annotated with polygon-based masks and categorized into multiple food classes, supporting semantic segmentation and object detection tasks. Created by Ahmed Imtiaz and last updated in May 2026, it was used to train UNet and YOLOv12 models.
Field experiments conducted in southwest and south China during the bird breeding seasons from March to August 2024 and 2025. The dataset contains measurements of egg mass, length, width, volume, and spectral reflectance for three bird species: grey bushchats, crested mynas, and white-shouldered starlings. It was created by Qiqi Liu and is licensed under CC-BY-4.0.
A research document compares three stomatal conductance models for cotton under drip irrigation. The study was conducted over two years in Changji, Xinjiang, and authored by Wenting Qi. The file was last updated in May 2026.
A dataset supporting the optimization of stomatal conductance models for cotton under drip irrigation in Northern Xinjiang. The data likely contains field study measurements used to compare and refine three models (BWB, BBL, USO) over a two-year period. The dataset was authored by Wenting Qi and last updated on May 11, 2026.
A study site at the University of Hohenheim's Kleinhohenheim Agricultural Experimental Station in Stuttgart, Germany, was used to investigate the effects of mowing height on arthropod populations. The dataset likely contains counts for eight arthropod taxa and microclimate measurements from a randomized block experiment comparing 7 cm, 13 cm, and unmown control plots. The data was collected in June and September 2024 by author Lea von Berg and is shared under a CC-BY-4.0 license.
NSW Department of Climate Change, Energy, the Environment and Water provides a timeseries of earth observation-derived irrigated crop area polygons for New South Wales. The dataset is derived from Landsat and Sentinel satellite sensors and covers summer seasons from 1987 to the present day, updated on an ongoing basis for selected catchments.