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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
16,802 datasets
A 2023 survey of 59% of farmers enrolled in Maryland and Delaware's 0% interest loan programs between 2011 and 2023 describes farm characteristics and contributions to food systems. The dataset includes information on loan amounts, farm acreage, farmer demographics, and market participation. It was authored by Marie T. O'Neill and shared under a CC-BY-4.0 license.
A 2026 study by Natalia Nöllenburg investigated the effects of a fermented herbal extract supplement on pigs from weaning to slaughter. The dataset includes behavioral observations, lesion assessments, and productivity data collected from two commercial Austrian farms over three batches covering all seasons. Results suggest a potential benefit for reducing tail-biting behavior and respiratory symptoms in pigs.
48.3% of 1,436 calves arriving at 20 Midwestern US farms between February 2024 and January 2025 had diarrhea. This dataset, authored by Elizabeth Schafer, contains clinical health assessments and blood biochemistry results for calves approximately 3-7 days old, collected within hours of arrival. The study aimed to evaluate calf condition and identify factors associated with poor health outcomes in the dairy-beef supply chain.
Farm Census District Electoral Area 2015 covers all farm businesses in Northern Ireland. Data is collected via survey and supplemented with administrative data from the Animal and Public Health Information System (APHIS). The statistics, collected since 1847, provide information on farm counts, land use, livestock populations, and labor.
Farm census statistics for Northern Ireland have been collected since 1847, providing a long-term view of agricultural trends. The data covers all farm businesses, detailing livestock counts, land area, crop types, and farm labour composition at the District Electoral Area level. It is used by a wide variety of stakeholders to understand the nature of farming in the region.
5.5 KB of tabular data comparing the performance of the proposed ECL-RTDETR model against a baseline for rice disease detection. The dataset, authored by Yaojun Zhang and last updated on June 3, 2026, likely contains metrics from experiments showing improvements in accuracy, speed, and computational efficiency. The model enhancements include an EfficientViT backbone, CARAFE upsampling, and LDConv in the neck network.
5.5 KB of experimental configuration data supporting the ECL-RTDETR model, a computer vision system for detecting rice diseases. The dataset, created by Yaojun Zhang and last updated in June 2026, likely contains parameters and settings used to achieve reported performance gains of 0.7% [email protected] and 22.2 FPS speed increase over a baseline model.
A small dataset of training parameters for the ECL-RTDETR model, an enhanced RT-DETR-based system for detecting rice diseases. The dataset was authored by Yaojun Zhang and last updated on June 3, 2026. It is a 5.5 KB XLS file shared under a CC-BY-4.0 license on figshare.
A correspondence dataset of rice disease labels, likely used for training and evaluating the ECL-RTDETR detection model described in the associated research. The dataset was authored by Yaojun Zhang and last updated on June 3, 2026. It is a small dataset, 5.5 KB in size, and is available in XLS format.
Three real agricultural machinery trajectory datasets used to validate a novel classification method. The data was used in a study by Weixin Zhai, achieving an average F1-score improvement of 12.16% over existing methods. The dataset was last updated on May 12, 2026.
427 women's clinicopathological data were used to train machine learning models for predicting breast cancer recurrence and mortality. The study, authored by Isabella Cristina Cazagranda, demonstrates a 24.12% improvement in model prediction quality when pesticide exposure is included as a risk factor. The dataset was last updated on June 3, 2026.
SAFARI 2000 Soil Properties, Moisture, and Temp., Skukuza and Mongu, 1999-2001 contains in-situ measurements from two flux tower sites in Zambia and South Africa. NASA deployed sensors to collect soil moisture and temperature profiles to depths of 125 cm, surface radiometric temperature, and analyzed soil samples for physical properties. The dataset covers the period from August 1999 to December 2001.
A synthesis of current knowledge on microplastics in the coastal waters of South-Eastern Australia, identifying key data gaps. The project compiled an inventory of existing microplastics studies and produced a final report synthesizing information on presence, sources, and pathways. The work was conducted by the NESP Marine and Coastal Hub in 2021-2022 and contributed to a standard operating procedure for marine microplastics sampling.
OpenStreetMap export of financial services locations in the Falkland Islands (Malvinas). The data includes points of interest tagged via the `amenity` key, such as banks, ATMs, post offices, money transfer agents, and microfinance branches. It was last updated on 2026-05-15 and is provided by the Humanitarian OpenStreetMap Team (HOT).
Financial services locations from OpenStreetMap, covering Turkmenistan. The data includes banks, ATMs, post offices, money transfer agents, and microfinance branches tagged via the `amenity` key. It was exported by the Humanitarian OpenStreetMap Team and last updated on 2026-05-15.
OpenStreetMap data for Togo containing locations of financial service amenities. The dataset includes banks, ATMs, post offices, money transfer agents, and microfinance branches tagged via the `amenity` key. It was last updated on 2026-05-15 by the Humanitarian OpenStreetMap Team.
OpenStreetMap export of financial service locations in Wallis and Futuna, provided by the Humanitarian OpenStreetMap Team (HOT). The data includes points of interest tagged with the `amenity` key, such as banks, ATMs, and money transfer agents. It was last updated on 2026-05-15.
OpenStreetMap data for Denmark includes banks, ATMs, post offices, money transfer agents, and microfinance branches tagged via the `amenity` key. The Humanitarian OpenStreetMap Team (HOT) exported this data, which was last updated on 2026-05-15. Completeness varies by region, with urban areas likely being more thoroughly mapped than remote ones.
OpenStreetMap data for Slovakia includes locations of financial service amenities such as banks, ATMs, post offices, money transfer agents, and microfinance branches. The dataset was exported by the Humanitarian OpenStreetMap Team and last updated on 2026-05-15. Completeness varies by region, with urban areas typically better mapped than remote ones.
OpenStreetMap data for Eritrea includes banks, ATMs, post offices, money transfer agents, and microfinance branches tagged via the `amenity` key. The Humanitarian OpenStreetMap Team (HOT) exported this data, last updated on 2026-05-15. Completeness varies by region, with urban areas likely better mapped than remote ones.