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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
18,121 datasets
A map of U.S. Department of Housing and Urban Development (HUD) assisted Multi-Family properties that primarily serve elderly residents. Each property has at least one active contract or grant related to programs such as Section 202, Section 8, or Section 236. The data was last updated on March 11, 2026.
Input_Food is a dataset published on Kaggle. Its title suggests it contains information related to food or agricultural inputs. The dataset's specific contents, size, and origin are not detailed in the available metadata.
Input_Image_Food is a dataset hosted on Kaggle. Its title suggests it contains images related to food items, likely intended for computer vision tasks. The dataset's author, organization, size, and specific contents are not detailed in the available metadata.
4896 active squares represent the outer extents of property records or tax lots in Washington D.C., typically corresponding to city blocks. Squares were numbered starting at 1 and are currently in the 6000 series, with some becoming inactive through street closings and combinations. The data is provided by the District of Columbia and was last updated in March 2026.
Approximately 4896 active squares represent the outer extents of tax lots within defined areas, typically city blocks, in Washington D.C. Squares are numbered starting at 1 and are currently in the 6000 series, with some becoming inactive through street closings and combinations. The data is provided by the District of Columbia and was last updated on March 25, 2026.
Parcel Lots are lands within the District of Columbia's old County of Washington that have never been subdivided into standard lots, with tracking initiated by an Act of Congress in 1905. The data represents properties, historically rural farms, that require conversion to subdivision lots before exterior construction permits are issued. The dataset includes geographic boundaries and parcel identifiers.
Nine months of 2023-2024 field survey data from England, collected as a partial example subset for experimental use. The survey involves field data collection from over 1,000 stratified 1km² sample squares, with up to 60 TOW features like small woods, tree groups, lone trees, and hedgerows recorded per square. The Forestry Commission project applies National Forest Inventory methodology, but the data is not yet representative of the full target population.
Two harmonized food composition datasets from TKPI 2017 and USDA SR Legacy 2018 reformatted as wide-format nutrient matrices. The repository, created by ULM-DS-Lab, contains data reformatted for machine learning applications with a shared set of 18 common nutrients. It was last updated on the platform in March 2026.
The 2026 street sweeping zones dataset was delayed. It was published by the City of Chicago on datagov and last updated on April 12, 2026. The dataset's specific content and scope are not detailed in the available metadata.
An Ecopath with Ecosim model simulates the biological consequences of ocean acidification on the Puget Sound estuary. Output calculates percent change in biomass for functional groups like calcifying molluscs, crustaceans, and demersal fish, as well as fisheries yield. This modeling study provides insight into potential shifts in ecosystem services and food web structure under acidification scenarios.
Food Expiry Prediction Dataset is a Kaggle dataset likely intended for modeling shelf life or spoilage. Metadata is minimal; actual content requires verification after download. The dataset's author, organization, and specific data characteristics are unknown.
2019 cropland locations across Africa, estimated from Sentinel-2 satellite imagery. The map has a 10-meter resolution and was produced using a Random Forest model trained on data from eight Agro-Ecological Zones. Digital Earth Africa created this provisional map and released it under a Creative Commons Attribution 4.0 license.
Statistics Canada provides annual aquaculture data on production and value for Canada and its provinces. The dataset tracks output in both tonnes and Canadian dollars. It is updated regularly, with a last recorded update in March 2026.
Waste sector data quantifies its aggregate contribution to total greenhouse gas emission growth from 2012 to 2018. World Bank staff calculated this indicator using historical emissions data covering 194 countries and the European Union. The underlying source data spans from 1990 to 2018.
World Bank staff calculated the aggregate contribution of the global Transportation sector to total greenhouse gas emission growth from 2012 to 2018. This analysis is based on historical emissions data covering 194 countries and the European Union. The underlying data originates from the World Resource Institute's Climate Watch platform.
World Bank staff calculations reveal the Other Fuel Combustion sector's aggregate contribution to total greenhouse gas emission growth between 2012 and 2018. This analysis is derived from the World Resource Institute's Climate Watch historical emissions data, covering 194 countries and the EU. The underlying dataset spans from 1990 to 2018 and includes six major greenhouse gases.
Sectoral data quantifies the contribution of the Manufacturing and Construction sector to total greenhouse gas emission growth from 2012 to 2018. World Bank staff calculated the figures using historical emissions data from the World Resources Institute's Climate Watch platform. The underlying dataset covers 194 countries and the EU from 1990-2018.
World Bank staff calculated the aggregate contribution of the Land-Use Change and Forestry sector to total greenhouse gas emission growth from 2012 to 2018. This data is derived from the World Resource Institute's Climate Watch Historical GHG Emissions dataset, which covers 194 countries and the EU. The underlying emissions data spans from 1990 to 2018.
Fugitive emissions sector data quantifies its percentage contribution to total greenhouse gas emission growth from 2012 to 2018. World Bank staff calculated this using historical GHG emissions data from the World Resource Institute's Climate Watch platform. The underlying source data covers 194 countries and the EU for the period 1990-2018.
Aggregate data quantifies the building sector's percentage contribution to total global greenhouse gas emission growth from 2012 to 2018. World Bank staff calculated this using historical emissions data for 194 countries and the European Union. The underlying source data covers the period from 1990 to 2018.