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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
19,247 datasets
Featuring cleaned and transcribed focus group discussion data from producers and consumers in the Atacora region of Benin. It explores production practices, varietal choice, seed sourcing, consumption preferences, and food environment drivers for fonio and jute mallow. The data was collected through qualitative discussions with 6 to 8 participants per group in the communes of Boukombé and Natitingou.
Global trends in food price inflation and nutrition security from 1990 to the present. The dataset likely contains time-series data tracking changes in food costs and related security metrics. The author and specific collection method are unknown.
London registers document microfossil analyses conducted primarily by FW Anderson during the 1950s and 1960s. The collection is organized into 41 volumes for Mesozoic ostracods, 11 volumes for Tertiary foraminifera, and additional volumes for Carboniferous, Jurassic, and Cretaceous specimens. It includes older collections from Davis (1935) and Burrows (1948), covering ostracods, foraminifera, charophytes, and holothurians.
A dataset titled 'Pest001' is hosted on Kaggle. The dataset's content and structure are not described in the available metadata. Its origin, size, and specific temporal coverage are unknown.
A dataset titled 'crop-zones-200' published on Kaggle. The title suggests it contains information related to agricultural land classification or crop zoning. The dataset's specific content, size, and origin are not detailed in the provided metadata.
NDVI_NDBI_LST_20EuropeanCountries contains satellite-derived indices for land analysis. The dataset likely contains Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-up Index (NDBI), and Land Surface Temperature (LST) values. It was published on Kaggle, but the author, organization, and specific collection details are unknown.
Food Ingredients is a dataset published on Kaggle. Its specific contents, such as the number of records or included features, are not detailed in the available metadata. The dataset likely contains information related to food components and nutritional elements.
A dataset concerning greenhouse gas emissions from the global agriculture sector. It was published on Kaggle, but the specific source, time range, and data collection method are not detailed in the provided metadata. The exact number of records and variables is unknown.
87 classes of images for detecting crop diseases and anomalies. The dataset is hosted on Kaggle and focuses on adversarial anomaly detection in agricultural contexts. The author, organization, and specific collection details are not provided.
Andy Brownback provided this replication data and code for two peer-reviewed economics papers published in 2025 and 2026. The collection supports research on behavioral food subsidies, time preferences, and food choice within the social sciences domain, though specific record counts are not provided in the metadata. It includes the empirical evidence used for findings in the Review of Economics and Statistics and the Journal of Public Economics.
Created for the Adaptation Uncharted Data Challenge, this dataset provides information on global nutrition. The specific temporal coverage, geographic scope, and data volume are not detailed in the available metadata. The original author and organization are unknown.
A project beginning in 2005 developed a toolkit of approximately 30 tools and techniques for planning and managing small multi-purpose reservoirs. The toolkit was produced by the Small Reservoirs Project, led by the International Water Management Institute with six partner organizations. It addresses hydrologic, economic, ecological, health, and institutional dimensions to improve water security and livelihoods in arid regions.
Food666 is a dataset hosted on the Kaggle platform. Its specific content and structure are not detailed in the available metadata. The dataset's title suggests a focus on food, agriculture, or nutrition.
New York City street-level temperature data from week 39 of 2023. The dataset is published on Kaggle, but the specific collection method, author, and full data structure are not detailed in the available metadata. Its content and scale require verification after download.
A dataset titled 'Data Palm Tree' is hosted on Kaggle. The dataset likely contains information or imagery related to palm tree species, cultivation, or distribution. No further metadata on its size, origin, or creation date is available.
A dataset from Kaggle focusing on food items in Poland. It includes metrics such as kilocalories per Polish złoty (kcal/pln) and other value ratios. The author, organization, and specific temporal coverage are not provided in the input.
Smart Bin Classifier Crops is a dataset published on Kaggle. Its title suggests it contains images of crops for training a smart waste classification system. The dataset's specific size, origin, and update date are unknown.
Land use data categorized by food type. The dataset originates from Kaggle and is associated with the year 2018, week 50. Its specific geographic scope and collection method are not detailed in the provided metadata.
MM 2021/W11: What is the World's Biggest Cash Crop is a dataset published on Kaggle. Its title suggests it contains information ranking major agricultural commodities by economic value or production volume. The dataset's specific columns, size, and origin are unknown.
MM 2023/W08: The Cheapest Ways to Get Your Protein is a dataset published on Kaggle. Its title suggests it contains information on the cost of various protein sources. The specific content, scale, and collection method require verification after download.