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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,863 datasets
A multi-dataset observational study from the National Health and Nutrition Examination Survey, UK Biobank, and the Wenzhou dataset examines links between diabetes mellitus, diabetic retinopathy, and cognitive outcomes. The study, authored by Guiqian Huang and last updated in May 2026, includes dietary inflammatory index scores derived from dietary recalls. It uses weighted multivariable-adjusted Poisson regression, robust Cox proportional hazards regression, and conditional logistic regression across the datasets.
257,054 people and 84,514 hectares of cropland were affected by a flood in Sudan on September 3, 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.
Pakistan experienced a flood event on September 3, 2025. The dataset provides geospatial analysis of the event, estimating impacts on approximately 8.85 million people and 1.38 million hectares of cropland. It was produced by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system.
Chad experienced a flood on September 3, 2025, affecting an estimated 879,498 people and 193,767 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 for humanitarian emergencies. The dataset was last updated on May 21, 2026.
An estimated 434,721 people and 371,911 hectares of cropland were affected by a flood in Mali on September 11, 2025. This geospatial dataset is produced by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system for rapid emergency response. The data was last updated on May 21, 2026.
September 2025 flood event in Pakistan, affecting an estimated 13,968,848 people and 2,199,880 hectares of cropland. The dataset was created by the WFP Automated Disaster Analysis & Mapping (ADAM) system and was last updated in May 2026.
WFP’s Automated Disaster Analysis and Mapping (ADAM) system provides geospatial data on a flood that occurred on September 18, 2025, in Guinea-Bissau. The event affected an estimated 26,367 people and 3,032 hectares of cropland. The dataset was last updated on May 21, 2026.
WFP Automated Disaster Analysis & Mapping (ADAM) provides geospatial data on a flood event in Sierra Leone on September 18, 2025. The dataset estimates the flood affected approximately 37,351 people and 211 hectares of cropland. It was last updated on May 21, 2026.
WFP’s Automated Disaster Analysis and Mapping (ADAM) system provides geospatial data on a flood that occurred in Pakistan on September 18, 2025. The event affected an estimated 16,793,460 people and 2,637,108 hectares of cropland. The dataset is provided in GEOTIFF format and was last updated in May 2026.
187,078 people and 44,602 hectares of cropland were affected by a flood in Guinea on September 22, 2025. The dataset was produced by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system. It was last updated on May 21, 2026.
Nigeria experienced a flood event on September 22, 2025. The dataset, produced by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system, provides geospatial analysis of the event's impact on population and agriculture. It estimates the flood affected approximately 1,814,776 people and 264,965 hectares of cropland.
380,999 people and 100,561 hectares of cropland were affected by a flood in Cameroon on September 26, 2025. The data is provided by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system for humanitarian emergencies. It was last updated on May 21, 2026.
The Bangladesh IoT Environmental Dataset (BIED) is a curated collection of simulated IoT sensor readings representing environmental conditions across five regions of Bangladesh. It contains over 10,000 records of hourly readings for parameters like temperature, humidity, air quality, CO₂, soil moisture, rainfall, and light intensity. The dataset was created by Md. Mehedi Hasan and was last updated in May 2026.
155,410 people and 13,982 hectares of cropland were affected by a flood in Mozambique on March 12, 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.
March 13 2025 flood event in Ecuador, affecting an estimated 325,328 people and 90,608 hectares of cropland. The data is provided by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system for humanitarian emergency response. It was last updated on May 21, 2026.
WFP’s Automated Disaster Analysis and Mapping (ADAM) system provides geospatial and socio-economic information on a flood that occurred in Mozambique on Mar 15 2025. The event affected an estimated 436,040 people and 49,593 hectares of cropland. The dataset was last updated on 2026-05-21.
WFP’s Automated Disaster Analysis and Mapping (ADAM) system provides geospatial data on a flood that occurred in Madagascar on March 18, 2025. The event affected an estimated 138,403 people and 45,057 hectares of cropland. The dataset was last updated on May 21, 2026.
Mozambique experienced a flood event on March 18, 2025. The dataset, produced by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system, provides geospatial analysis estimating the event affected approximately 566,438 people and 62,684 hectares of cropland. It was last updated in May 2026.
188,218 people and 125,898 hectares of cropland were affected by a flood in Bolivia on March 27, 2025. The dataset is produced by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system for rapid humanitarian assessment. It was last updated on May 21, 2026.
An estimated 224,615 people and 158,413 hectares of cropland were affected by a flood in Myanmar on June 5, 2025. WFP’s Automated Disaster Analysis and Mapping (ADAM) system collected and mapped this geospatial and socio-economic information following the sudden-onset emergency. The dataset was last updated on May 21, 2026.