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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
19,247 datasets
Herfy Food Services restaurant chain data for exploratory data analysis. The dataset's author, organization, and last update date are unknown.
IWMI DIWASA Blue ET for Africa is a dataset quantifying blue evapotranspiration, the portion derived from blue water sources like rivers, lakes, reservoirs, and groundwater used for irrigation. It was created by the International Water Management Institute (IWMI) and is available under a Creative Commons open license. The data helps assess water productivity in irrigated agriculture and supports sustainable water resource management.
A classified Landsat Thematic Mapper satellite image covering the peninsular region of Thailand, including Surat Thani, Nakhon Si Thammarat, and Krabi provinces. The image was created on 4 March 1990 under the TREES project contract with the Joint Research Centre in Ispra, Italy, and corresponds to Path 129 Row 54.
Classified Landsat Thematic Mapper imagery captures land cover for a specific path and row over West Cambodia. The data was produced under the TREES project contract with the Joint Research Centre in Ispra, Italy. The single-scene image is dated 27 March 1992.
January 25, 1992 classified Landsat TM image covering the eastern Cambodian provinces of Kratie and Stung Treng. The data was produced under the TREES project contract with the Joint Research Centre in Ispra, Italy, and corresponds to satellite path 125 row 51.
A classified Landsat Thematic Mapper image captures the Northern Highlands of Thailand, Myanmar, and Laos on February 14, 1991. The data was produced under the TREES project contract with the Joint Research Centre in Ispra, Italy, and corresponds to satellite path 131, row 46. This single-scene classification provides a historical snapshot of land cover in a region historically known for opium production.
City of New York's Tree Contract Work Details dataset tracks work performed on specific tree maintenance contracts. It can be joined to the Forestry Work Orders dataset using the work_order_id and contract_number fields. The dataset's exact size and feature count are unspecified.
From 2025 onward, this dataset captures axle and gross vehicle weights from trucks driving over sensors on a City-owned section of the Brooklyn-Queens Expressway in Brooklyn. The data is collected by the City of New York using Weigh In Motion (WIM) devices. The dataset's temporal and lane coverage has changed over time, with historical data available in a separate record.
Forestry tasks are specific actions recorded as sub-components of work orders, primarily for accounting labor hours and tracking incomplete jobs. The dataset is published by the City of New York and was last updated in March 2026. Specific details on row count, column count, and data structure are not provided in the input.
Risk Assessments are sub-components of Inspection records where Type = Level 2, detailing tree defects for the Parks' Tree Risk Management program. Each defect is evaluated using three rating variables to calculate a Total Rating, with multiple assessments possible per tree inspection. The dataset is maintained by the City of New York and was last updated in March 2026.
A dataset of Egyptian dishes and drinks includes calorie information, user ratings, and images. The data is presented in both Arabic and English. The author, organization, and last update date are unknown.
A dataset tracking fertilizer usage and related industry equity. The data likely contains metrics on fertilizer application and stock levels. It was sourced from Kaggle, but specific details about its creation, size, and update frequency are not provided.
Pinetree is a dataset published on Kaggle. The dataset's title suggests a focus on pine trees or related forestry topics. The available metadata is minimal, and the specific content, size, and origin require verification after download.
Streets is a geospatial feature layer published by the Town of Cary, North Carolina. The dataset likely contains vector data representing the town's street network, such as road centerlines or polygons. It was last updated on March 22, 2026, according to the Data.gov platform.
NDVI data likely derived from satellite imagery for agricultural fields in the Pune region. The dataset is hosted on Kaggle, but its specific source, temporal coverage, and volume are unknown. Its primary purpose appears to be for analyzing vegetation health and land use patterns.
Three harmonized datasets estimate the prevalence of inadequate nutrient intakes for 34 age-sex groups across 185 countries. The data covers 15 micronutrients from diet alone and 13 micronutrients under current and potential fortification scenarios. The work originated from related papers by Passarelli et al. (2022) and Friesen et al. (in press).
Oregon law ORS 596.321 and administrative rule OAR 603-011 0212 mandate reporting of specific animal diseases to the state's Department of Agriculture. The dataset lists these reportable conditions, likely serving as a reference for veterinarians and regulatory officials. Data is provided by the State of Oregon and was last updated on March 8, 2026.
DSI-6411 contains soil moisture measurements for agricultural regions of Western Russia and Ukraine from 1992 to 1996. The data were collected routinely for agro-meteorological monitoring by NOAA_NCEI. It serves as an input for in-situ assessment of the state of major crops.
August 1981 to July 1994 monthly maximum recomposite NDVI data reprojected to a 0.5-degree grid. The dataset was created by NOAA and NASA for terrestrial and climate modeling applications. It is hosted by the SCIOPS organization via the EOS-WEBSTER platform.
Comprising variables for modeling household final food consumption expenditure (Qfood) in European Union countries. It includes indices for geopolitical risk (GPR, GPRT, GPRA), energy-related uncertainty (EUI), and commodity prices (POIL, PGAS). The data is compiled from sources including Eurostat, policy uncertainty indices, and the World Bank.