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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
19,247 datasets
Map 1 of the valid regional land use plan for the FrankfurtRheinMain regional association, depicting the planned status as of 31 December 2025. The data is provided by the Bundesamt für Kartographie und Geodäsie and was last updated in March 2026. It likely contains spatial designations and planning statuses for streets and other regional planning elements.
City of Austin Transportation and Public Works maintains this dataset on streets with protected pavement status. It includes streets paved within the last five to seven years or those meeting a specific RCI threshold, with associated damage recovery fees. The data is provided for geographic reference with no warranty on accuracy or completeness.
fast-food-6clases is a dataset hosted on Kaggle. Its title suggests it contains images for classifying six types of fast food. The dataset's author, organization, and specific details are not provided in the available metadata.
Food41-subdataset likely contains a collection of images for food recognition tasks. The dataset is hosted on Kaggle, a platform for data science competitions and projects. Specific details on the number of images, collection method, and original authors are not provided in the available metadata.
This replication archive by Graham Diedrich (2026) contains survey data and statistical code exploring how U.S. agricultural producers evaluate solar energy adoption. The collection includes raw survey responses, derived analytic datasets, and a complete R-based workflow for reproducing manuscript findings. It specifically focuses on identifying distinct decision-making styles among farmers regarding renewable energy technology.
Cleaned word-level Vietnamese Sign Language (VSL) dataset. The dataset is hosted on Kaggle, but the author, organization, and specific data characteristics are not provided. Its utility likely centers on providing visual examples of Vietnamese sign language gestures.
Untermünkheim municipality's urban development plan for the Garden Street/Falkert area, transformed according to INSPIRE standards. The data is provided as a WMS service based on an XPlanung dataset in version 5.0. It was last updated on March 4, 2026, and is hosted by the Bundesamt für Kartographie und Geodäsie.
A Web Feature Service (WFS) provides the urban development plan 'Gartenstraße/Falkert' for the municipality of Untermünkheim. The data is transformed according to INSPIRE standards and is based on an XPlanung dataset in version 5.0. The dataset was last updated on March 4, 2026.
Greater London Authority data on the number of fresh produce food markets in London. The dataset was last updated on 2026-03-25. Columns likely contain identifiers and location information for each market.
A dataset of global commodity and grocery price indices, published on Kaggle. The data likely contains price information for various food and grocery items across different regions. The specific number of records, columns, and time coverage are unknown from the provided metadata.
A relative erosion potential indicator for the U.S. Virgin Islands, created by NOAA_NCEI and sourced from NASA EarthData. The dataset models sediment and pollution runoff potential based on slope, soil type, land cover, and maximum monthly precipitation. The data reflects conditions circa 1990.
Relative erosion potential is an indicator of sediment and pollution runoff from land. The dataset is derived from slope, soil type, land cover, and maximum monthly precipitation factors for Puerto Rico. It was produced by NOAA NCEI and is based on conditions circa 1990.
Encompassing individual participant data from an incentivized field experiment conducted in July 2024. It was used for a Master's thesis at the University of Guelph to study consumer preferences for six lettuce products under different production methods and local labeling, with participants randomly assigned to one of three nudge treatments or a control group.
Marine Aquaculture Risk Time Series Dataset is a multivariate time-series dataset collected via IoT sensors for predicting environmental risks in aquaculture operations. The dataset's author, organization, size, and temporal coverage are unknown. It was sourced from the Kaggle platform.
A dataset of hand images likely cropped using MediaPipe, augmented for the Indonesian Sign Language System (SIBI). The dataset is published on Kaggle, but its size, creation date, and author are unknown. Its content appears to be focused on isolated hand gestures for sign language recognition.
World Bank data measures agricultural productivity as value added per worker in constant 2010 US dollars. The indicator aggregates output from crop cultivation, livestock, forestry, hunting, and fishing, net of intermediate inputs. It originates from the World Development Indicators (WDI) Database Archives.
World Bank data provides a crop production index normalized to a 2004-2006 base period, excluding fodder crops. Aggregates are calculated for regions and income groups from underlying values in international dollars. The dataset is sourced from Africa Development Indicators.
2014-2016 is the base period for this normalized index of agricultural production. The dataset shows annual crop production relative to that baseline, excluding fodder crops. It is compiled by the World Bank's World Development Indicators, sourcing data from the Food and Agriculture Organization (FAO).
FAO indices measure the relative aggregate volume of agricultural production for each year compared to the 2004-2006 base period. The data is compiled by the Food and Agriculture Organization (FAO) and published via the World Bank's Africa Development Indicators. The index covers an unspecified time range, with values calculated as price-weighted quantities of commodities after deductions for seed and feed.
RecipeStripper site inventory and extraction observations dataset from Kaggle. The data likely contains information about the coverage and success of automated markup extraction from recipe websites. The author, organization, and specific data volume are unknown.