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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
18,187 datasets
City of Austin Resource Recovery provides daily waste collection and diversion data. The report includes fields for Report Date, Load Type, Load Weight, Drop off Site, and Route Type. This operational data supports tracking waste diversion goals and resource recovery efforts.
Records of completed and in-progress work orders for street sign installation and maintenance in Austin's full purpose jurisdiction. The dataset tracks work managed by the Signs & Markings division from June 2018 to present.
ML-ready dataset designed for predicting agricultural harvests approximately four weeks in advance. The description indicates it contains 1500 data points, though the specific features are not detailed. It was sourced from Kaggle, but the original author and organization are unknown.
A machine-learning-ready dataset for forecasting harvest operations approximately six weeks in advance. The dataset appears to be derived from operational data, with a sample size of 1500 records. It was sourced from Kaggle, but the original author, organization, and specific creation date are unknown.
A multi-source fused dataset with a derived harvest target for 1500 wheat parcels. The data combines raw inputs from multiple sources to create a parcel-level target variable. The author, organization, and specific temporal coverage are not provided in the metadata.
County-level estimates of nitrogen and phosphorus from commercial fertilizer for farm and nonfarm uses across the conterminous United States. The data spans 26 years from 1987 through 2012, with estimates derived from AAPFCO sales data and allocated using Census of Agriculture expenditures and population density. The dataset was compiled by John W. Brakebill and builds on methods from a 2012 U.S. Geological Survey report.
Global distribution of cattle in 2015 expressed as total number of cattle per pixel. The data is derived from the Gridded Livestock of the World database (v4) and was processed at a 1 km resolution before aggregation to a 5-minute arc (approximately 10 km) grid. Marius Gilbert of the Université Libre de Bruxelles is the author of this dataset.
IELex data and scripts provide a Bayesian phylogenetic tree sample for the Indo-European language family. The repository contains a long-format table of cognate relationships, language glottocodes, and concept mappings, alongside NEXUS files and consensus trees. This version is maintained as a current alternative to the original offline database, based on work by Michael Dunn at Uppsala University.
IFPRI's Spatial Production Allocation Model (SPAM) provides grid-cell level estimates of crop distribution for Africa South of the Sahara for the year 2017. The model uses a cross-entropy approach to disaggregate production statistics from administrative units to a finer spatial resolution. This data reveals spatial patterns of crop performance at the confluence of geography and agricultural production systems.
Global crop production data estimated at a grid-cell level for the year 2010. The International Food Policy Research Institute (IFPRI) created this dataset using its Spatial Production Allocation Model (SPAM), which employs a cross-entropy approach to disaggregate national and sub-national statistics into finer spatial units.
A dataset titled 'Livestockdata' is hosted on the Kaggle platform. The dataset's specific content, size, and origin are not detailed in the available metadata. Its columns, sample data, and other descriptive elements are currently unknown.
A collection of images related to pests affecting rice crops, sourced from Kaggle. The dataset likely contains visual data for identifying and studying common agricultural pests. Its specific scope, size, and creation details are not provided in the available metadata.
Kaggle hosts a dataset focused on crop and weed identification. The dataset likely contains images for training computer vision models in agricultural contexts. Its specific size, origin, and collection date are not detailed in the available metadata.
Agri-Environmental Indicator data provides a measure of soil health and estimates carbon dioxide removal through soil organic carbon sequestration. Agriculture and Agri-Food Canada maintains this series, last updated in February 2026.
Western Canada and Ontario survey data likely contains supplementary tables and questions related to dairy farm management and farmer well-being. The dataset was authored by Meagan King and published on the Borealis Harvested Dataverse platform. It was last updated on April 25, 2026.
Historical Pavement Condition Index (PCI) Scores by location, aggregated by the City of San Francisco. The dataset is available in multiple formats including CSV, JSON, XML, and RDF. It was last updated on March 22, 2026.
Cattle statistics track the supply and disposition of cattle in Canada and its provinces, measured in thousands of head. The dataset is produced by Statistics Canada and is updated annually. Data is available in multiple formats including CSV, XML, and HTML.
Semi-annual data from Statistics Canada tracks the number of farms reporting hogs and the average number of hogs per farm across Canada and its provinces. The dataset provides a time-series view of hog production at the farm level. It is maintained by Statistics Canada and was last updated in February 2026.
Statistics Canada provides semi-annual counts of hogs on farms, measured in thousands of head. Data covers Canada and its provinces, collected twice per year. The dataset is maintained by Statistics Canada and was last updated in February 2026.
Semi-annual statistics track the number of farms reporting cattle and the average herd size per farm across Canada and its provinces. Statistics Canada publishes this data, which was last updated in February 2026. Figures are provided as counts and averages.