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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
19,247 datasets
WMS Forest Office Borders State Forests RLP provides geospatial boundaries for forest administrative units in Rhineland-Palatinate, Germany. The data is published by the Bundesamt für Kartographie und Geodäsie and was last updated on 2026-03-23. It is served via an OGC Web Map Service (WMS) interface.
Agricrop1 is a dataset hosted on Kaggle, a popular platform for data science and machine learning. The dataset's title suggests a focus on agricultural or crop-related information. No further metadata, such as author, size, or column descriptions, is available for verification.
Particle Size Distribution measurements for 419 archived topsoil samples from arable and grassland habitats across Great Britain in 2007. Laser granulometry was used to derive aggregate stability metrics from the difference in Mean Weight Diameter before and after sonication. The data was collected by the Countryside Survey monitoring programme to study soil quality indicators across agricultural land management gradients.
Daily temperature and temperature variance measurements were recorded at three tree nurseries in Scotland from 2007 to 2012. The data was collected as part of a multi-site common-garden experiment involving Scots pine trees from 21 native Caledonian pinewood provenances, with 1,680 trees per nursery.
June 2015 measurements from two reaches of the Wood Brook, Staffordshire, quantify microbial activity in sand and gravel sediments. The dataset contains rates of fluorescein diacetate hydrolysis, extracellular phenol oxidase activity, and potential denitrification from laboratory incubation experiments. It also includes organic matter content for the collected sediment samples.
ICPMS and ICPOES measurements of Ca, Cs, K, Mg, Sr, NH4-N, and NPOC in freeze-dried crops, soils, and waters. Data originates from two plant growth studies at CEH Lancaster in 2018-2019 and a study at the University of Extremadura in 2018, conducted under the CONFIDENCE project.
Faecal microbiology and moisture content data were collected from two cohorts of 30 cattle each at the North Wyke Farm Platform in Devon, UK. Samples were analyzed within 6 to 8 hours of collection between November 2016 and July 2018.
323 wheat genotypes were evaluated under two nitrogen treatments (N100 and N50) across two locations in Pakistan over two consecutive growing years. The dataset contains phenotypic measurements including days to flowering, flag leaf area, peduncle length, spike length, plant height, straw yield, grain yield, and thousand grain weight. The study was supported by the Natural Environment Research Council.
Polygons depict U.S. Environmental Protection Agency Superfund Site boundaries, representing the footprint of contaminated sites. The dataset is managed by regional geospatial professionals and remedial program managers, with national data refreshed weekly. Site boundaries are defined as the sum of all Operable Units and the current understanding of contamination extent.
U.S. EPA Superfund Institutional Control boundaries are depicted as GIS polygons. The dataset is harvested weekly from regional teams to refresh the national feature services. It represents non-engineered instruments designed to limit exposure to contamination by controlling land or resource use.
Official control monitoring data for toxin-producing algae in water samples from classified harvesting areas in England and Wales. Collected by the Food Standards Agency, this dataset was last updated in March 2026.
Ten weeks of weekly scans of cauliflower and broccoli crops from transplant to harvest. The dataset includes ground-truth crop measurements, environmental data from weather and soil sensors, and stereo color, thermal, and hyperspectral imagery collected by an autonomous robot. It was created by Asher Bender of the Australian Centre for Robotic Vision at the University of Sydney's Lansdowne Farm in Cobbitty, NSW, Australia.
An experiment conducted at the Central research field of SHIATS, Allahabad (U.P.) assessed the effects of Gibberellic acid (GA3) on tomato plants. The study used one tomato variety (Golden) and six treatments with five levels of GA3 (10 ppm to 50 ppm), arranged in a randomized block design with three replications. It likely contains measurements of plant height, number of leaves, number of fruits, fresh fruit weight, ascorbic acid, and total soluble solids.
IFPRI's Spatial Production Allocation Model (SPAM) uses a cross-entropy approach to estimate crop distribution within grid cells. The model disaggregates data from countries and provinces to reveal spatial patterns of crop performance, creating a global gridscape linking geography and agricultural systems. These estimates aim to help policymakers better target agricultural investments to increase food security with minimal environmental impact.
The International Food Policy Research Institute's Spatial Production Allocation Model (SPAM) 2005 Version 3.2 provides spatially-disaggregated estimates of crop distribution. It uses a cross-entropy approach to allocate production data from countries and provinces down to grid cells, revealing spatial patterns of agricultural performance. This creates a global gridscape linking geography with agricultural production systems.
An overview document authored by Yehia Fahmy of the National Water Research Center covers the use of agricultural residues for producing paper, board, fuels, and petrochemical substitutes. It includes both scientific and industrial data, case studies, and analysis of sustainability in paper and sugar industries. The document also discusses green nanotechnology and future prospects for the field.
250,000 street lights in Chicago are maintained by the Department of Transportation. This historical dataset contains all reports of 'Street Lights - All Out' (outages of 3 or more lights) made to the city's 311 service line since January 1, 2011. Data includes requests from open to completed status, with duplicate request handling logic, and was updated daily.
Annotated agricultural weed dataset for computer vision. The dataset contains images of nutsedge weeds, a common agricultural pest. The author, organization, and specific collection details are unknown.
A dataset titled 'street-girtl-dataset' published on Kaggle. The title suggests it contains imagery related to street scenes. The author, organization, and specific content details are unknown and require verification after download.
Deepfake Balanced Face Cropped 10k likely contains 10,000 images of faces, potentially curated for training detection models. The dataset appears to be balanced, which may indicate an equal distribution of real and synthetic samples. Its origin and specific creation details are unknown.