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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
19,247 datasets
Harvesting the Haze is a dataset published on Kaggle. Its title suggests a focus on agricultural or environmental phenomena, potentially related to crop yields or atmospheric conditions. The dataset's specific content, size, and authorship are unknown from the provided metadata.
Rock Outcrop Critical Environmental Features identified during the City of Austin's development review process. Data was digitized from construction plans, environmental assessments, and staff field observations into a versioned database. Records are available from 1995 onward.
City of Austin provides food establishment inspection scores from the last 3 years. Inspections are conducted by Austin Public Health Environmental Health Officers in accordance with Texas Food Establishment Rules. The dataset includes tags for Geodata, Inspection, Health, Restaurant, Score, and Food.
GCI30 is a global cropping intensity product at 30-meter resolution, the first dataset of its kind at this scale. It was generated by Miao Zhang of the Aerospace Information Research Institute using reconstructed NDVI time series from Landsat-8, Sentinel-2, and MODIS satellite imagery. The data enumerates valid cropping cycles per pixel and provides average intensity for the period from 2016 to 2018.
Nutrition data published on Kaggle. The specific contents, scale, and origin are not detailed in the available metadata. The dataset's structure and potential applications must be verified after download.
A dataset related to food, likely containing information about ingredients, recipes, or nutritional content. It is hosted on Kaggle, but detailed metadata about its creation, size, and structure is unavailable. The author, organization, and last update date are unknown.
A dataset titled 'pre-processed crop 224' is hosted on Kaggle. The title suggests it likely contains images of agricultural crops, potentially pre-processed to a 224x224 pixel resolution, a common size for computer vision models. No further metadata on size, origin, or specific crop types is available.
iFood_df is a dataset from Kaggle, likely related to the iFood delivery platform. The dataset's specific content, size, and features are unknown from the provided metadata. Its author, organization, and last update date are also not specified.
A dataset titled 'ifood_df.csv' published on Kaggle. The title suggests it likely contains information related to food delivery services, possibly from the iFood platform. The dataset's specific content, size, and origin are not detailed in the provided metadata.
Uncompleted_labeled_rfood_ck is a dataset hosted on Kaggle. Its title suggests it contains labeled data related to food items, likely for classification tasks. The dataset's author, organization, and specific details are not provided in the metadata.
Labeled_rfood_ck is a dataset of food images published on Kaggle. The title suggests it contains labeled data, likely for classification tasks. No further details on size, origin, or specific content are available from the provided metadata.
A multi-year archive of gridded yield data derived from yield monitor data acquired from over 40 production fields in Beltsville, Maryland. The data was processed through geographic projection, outlier removal, and spatial interpolation using block Kriging to create yield maps in common file formats. This research is a contribution from the USDA-supported Long-Term Agroecosystem Research (LTAR) network.
Experimental data from a preliminary test and two lab studies investigates the influence of incidental affect on food intake. The research by Nitika Garg of UNSW Sydney shows people eat more hedonic foods when sad and more less hedonic foods when happy, with nutritional information moderating the effect. The dataset likely contains measurements of food consumption under different affective states and product types.
A collection of subject documents on agricultural chemistry, sourced from the PapersWithCode platform. The author is listed as Christoph Meinel. The specific temporal coverage, size, and detailed content structure are not provided in the input.
AccessScience is an authoritative online educational resource covering major scientific disciplines, including agricultural engineering. The content is described as incisively written, high-quality, and trustworthy scientific information. It is authored by R. E. Garrett and hosted on the paperswithcode platform.
John Colville's personal diaries, kept secretly during his service at 10 Downing Street, offer a first-hand account of British wartime leadership. The text covers nine years of his sixteen-year tenure, primarily as Private Secretary to Winston Churchill. This edition includes transcribed and edited material from WWII not present in the original hardback publication.
The Food Access Research Atlas, created by Wolfram Research, Inc., provides a spatial overview of food access indicators for low-income and other census tracts. It offers data on supermarket accessibility for populations within census tracts. The dataset is intended for download and use in community planning or research.
Nick Cullather's historical analysis examines the 'green revolution' as a half-century political campaign to transform Asian rural societies through food and agriculture. The work explores how scientific agriculture was used as an instrument for social engineering during the Cold War, with policies contested by figures from Kennedy to Suharto. This narrative, sourced from paperswithcode, reveals the lessons from the costliest sustained development effort ever undertaken.
WildOS Frontiers contains between 1,000 and 10,000 images with visual frontier annotations for outdoor long-range navigation, released by leggedrobotics in February 2026. The dataset builds upon the GrandTour Dataset to identify exploration candidates such as trail ends, openings between trees, and road curves. It was developed to support open-vocabulary object search in unstructured wild environments.
A collection of 5,918 grocery products from 98 countries, evaluated using three scoring systems. The dataset was published on Kaggle. The specific source, author, and last update date are not provided in the available metadata.