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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,974 datasets
Multiple geospatial layers cover the entire continent of Africa, including outlines, terrain units, agricultural land use, soils, vegetation, hydrography, basins, and a desertification hazard model. The database was developed by UNEP using data primarily from FAO and maps prepared by ESRI. Base maps include the 1977 FAO/UNESCO Soil Map of the World and the 1982 Rand-McNally New International Atlas.
1984 data on major population centers and land use across Africa, compiled by ESRI, FAO, and UNEP. The dataset was created by digitizing and re-registering multiple historical map sources, including the UNESCO/FAO Soil Map of the World and Rand-McNally atlases. It represents a collaborative effort between environmental and agricultural organizations.
Administrative boundaries for Africa at continental, national, and second and third administrative levels. The dataset was developed by UNEP, FAO, and ESRI, published in December 1984. It provides vector polygon coverage in geographic latitude/longitude coordinates.
AgroSight — Maharashtra Farmer AI Agent is a dataset published on Kaggle. The title suggests it contains data related to farmers or agricultural agents in the Indian state of Maharashtra. The dataset's specific content, size, and structure are unknown from the provided metadata.
Fast Food Menu Prices & Nutrition in Turkey (2026) contains data on 316 products from 8 fast food chains. The dataset includes nutritional information, pricing, and derived features. It was sourced from Kaggle, but the author, organization, and specific collection method are unknown.
Open Food Facts is a database of 1.7 million+ food products from 150 countries, contributed by over 25,000 volunteers. It contains information from product labels, including ingredients, allergens, and nutrition facts. The data is maintained by a non-profit association and was last updated on Hugging Face in March 2026.
Montgomery County's Office of Agriculture provides a listing of Farmers' Markets and Farm Stands within the county. The dataset includes details such as market names, physical addresses, seasons and times of operation, accepted assistance programs, and manager contact information. This data is scheduled for annual updates, with the latest version from February 2026.
From 2020 to 2023, this dataset tracks key hunger and nutrition indicators for Pakistan, including poverty, malnutrition, food insecurity, and access to clean water. It was authored by Muhammad Haseeb and sourced from Kaggle under an Apache 2.0 license.
Tapilot-Crossing is a benchmark dataset for evaluating Language Model agent performance on interactive data analysis tasks. It contains 1,094 user intents across 946 entries, organized into 8 categories spanning 5 data domains like credit card risk and tennis. The dataset was created by birdsql and last updated on Hugging Face in April 2026.
Food delivery dashboard dataset published on the Kaggle platform. The dataset likely contains metrics and key performance indicators for monitoring delivery operations. Specific details on columns, size, and origin are not provided in the available metadata.
A dataset about turmeric harvest, published on Kaggle. The specific content, scale, and origin are not detailed in the available metadata. Further details such as the time period, geographic scope, and collection method require verification after accessing the data.
A vector dataset representing the maximum current geographic extent of the Tree Swallow (Tachycineta bicolor) within California. It is part of the California Wildlife Habitat Relationships (CWHR) system, developed by the State of California to support habitat conservation, land use planning, and wildlife research. The range maps were originally delineated at a 1:5,000,000 scale and have been revised at 1:1,000,000.
Vector range maps represent the maximum current geographic extent of the Western Harvest Mouse within California, developed as part of the California Wildlife Habitat Relationships (CWHR) system. The data supports habitat conservation, land use planning, and wildlife research for terrestrial vertebrates. Maps were originally delineated at 1:5,000,000 scale and revised at 1:1,000,000 by species-level experts.
A vector dataset representing the maximum current geographic extent of the Sonoma tree vole (CWHR code M132) within California. It is part of the California Wildlife Habitat Relationships system, developed by the State of California to support habitat conservation and land use planning. The range maps were originally delineated at 1:5,000,000 scale and revised to 1:1,000,000.
A list of streets accepted for maintenance by block (street segment) from the City of San Francisco. The data is provided in multiple formats including RDF, JSON, CSV, and XML. Some blocks may appear multiple times due to multiple Caltrans maintenance agreement links.
A spatial dataset representing water holding and supply facilities for crop irrigation, created by the Water Corporation's Spatial Reporting team. The data was last updated in March 2026 and is available in multiple geospatial formats including WFS, WMS, and GeoJSON.
Unitreerobotics provides a dataset of robot state observations for a dishwasher loading task. The data includes end-effector states computed via forward kinematics and hand/finger states for both robot hands. The dataset was last updated on March 27, 2026.
OMAFA technical publications catalogue lists Ontario Ministry of Agriculture, Food and Rural Affairs documents on field crop, livestock, and horticultural practices. It contains free and for-sale publications, updated via the Open Canada platform. The dataset was last updated on February 25, 2026.
A dataset concerning child growth and nutrition assessment. It is hosted on Kaggle, but the author, organization, and specific collection details are unknown. The raw description indicates a focus on child health metrics.
A dataset concerning food demand, published on Kaggle. The specific content, scale, and origin are not detailed in the available metadata. Further details about the data's creation and temporal scope require verification after download.