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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
15,521 datasets
Supplementary file 1 contains research data on the effects of a 3% WIN-1001X cream, an extract of three botanical drugs, on chronic skin wounds in streptozotocin-induced diabetic mice. The study, authored by Hayan Jeong and last updated in March 2026, measured wound area, histology, and gene/protein expression related to inflammation and healing over a 12-day treatment period. The dataset is a 3.1 MB DOCX file shared under a CC-BY-4.0 license on figshare.
Prescriptions prescribed by General Practitioners and Nurses in Northern Ireland and subsequently dispensed by community pharmacists, dispensing doctors, and appliance suppliers. Data is submitted to the Business Services Organisation for payment and covers prescriptions that have been paid. The dataset is provided by OpenDataNI and was last updated in April 2026.
Network traffic PCAP files totaling 6.0 GB, created by Nasim Ferdosian and last updated in April 2026. The data supports research on identifying IoT device types and behaviors through external network traffic analysis without privileged access. The work demonstrates a framework combining machine learning with intrusion detection signature analysis.
Geochemical data from organic-rich shales across Australia's Greater McArthur, Georgina, Eromanga, and Bight basins. The dataset likely contains uranium and total organic carbon (TOC) measurements, with uranium concentrations ranging from less than 5 to over 500 ppm. It was published by Geoscience Australia Data and last updated in March 2026.
Kremenchuk City Council's Department of Finance organizational data, sourced from the States site of Ukraine. The dataset was last updated on 2026-05-06 12:59:54.697888. It likely contains information about the internal structure and units of the local finance department.
From October 1980 to April 1984, benthic organisms were collected aboard the R/V VENTURE in the Gulf of Mexico as part of the S.W. Florida Shelf project. The dataset, processed to the NODC F132 standard, likely contains species abundance, biomass, and associated environmental measurements from sampling stations. Data columns suggest information on cruise logistics, station positions, sampling methods, and concurrent measurements of water temperature, salinity, dissolved oxygen, and sediment characteristics.
Guangxi Province in South China is the source for 2,185 clinical tissue samples used to validate a novel diagnostic method. The dataset, authored by Yuwen Shi and last updated in March 2026, contains results from a duplex crystal digital PCR assay developed for the differential detection of two genotypes of the Porcine Reproductive and Respiratory Syndrome Virus (PRRSV). It includes performance metrics like sensitivity, specificity, and positivity rates for PRRSV-1 and PRRSV-2.
MetOp-A ASCAT Level 2 ocean surface wind vector retrievals are produced by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) Ocean and Sea Ice Satellite Application Facility (OSI SAF) via the Royal Netherlands Meteorological Institute (KNMI). The dataset provides near-real-time wind vectors at a 25 km sampling resolution from the Advanced Scatterometer (ASCAT) aboard the MetOp-A satellite, with a latency of approximately 2 hours from measurement. Each file contains one full orbit of data in netCDF format.
Operational near-real-time Level 2 coastal ocean surface wind vector retrievals from the Advanced Scatterometer (ASCAT) on the MetOp-A satellite. The dataset is produced by the EUMETSAT Ocean and Sea Ice Satellite Application Facility via KNMI, with a latency of approximately 2 hours from measurement. It uses a spatial box filter averaging Sigma-0 retrievals within a 15 km radius to compute winds as close as ~15 km from the coast.
Operational near-real-time Level 2 coastal ocean surface wind vector retrievals from the Advanced Scatterometer (ASCAT) on the MetOp-B satellite. The product is generated by the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF) and provided through the Royal Netherlands Meteorological Institute (KNMI). Latency is approximately 2 hours from the latest measurement.
Operational near-real-time Level 2 coastal ocean surface wind vector retrievals from the Advanced Scatterometer (ASCAT) on the MetOp-C satellite. The dataset is produced by EUMETSAT's Ocean and Sea Ice Satellite Application Facility (OSI SAF) via KNMI, with a latency of approximately 2 hours from measurement. It uses a spatial box filter on Level 1B Sigma-0 retrievals to compute winds as close as ~15 km from the coast.
Operational near-real-time Level 2 ocean surface wind vector retrievals from the Advanced Scatterometer aboard the MetOp-B satellite. The European Organization for the Exploitation of Meteorological Satellites Ocean and Sea Ice Satellite Application Facility provides this data through the Royal Netherlands Meteorological Institute with a latency of approximately 2 hours.
EUMETSAT OSI SAF provides near-real-time Level 2 ocean surface wind vector retrievals from the Advanced Scatterometer aboard the MetOp-C satellite. The dataset contains full orbit swaths at a 25 km sampling resolution, with an effective resolution of 50 km, processed using the CMOD7.n geophysical model function. Latency is approximately 2 hours from the latest measurement.
Polygon data details waste collection zones for a municipal council, specifying days for garbage, recycling, glass, and organic waste pickup. The dataset is produced and maintained by the Strathbogie Shire Council, with a recent update in April 2026.
Two datasets describe the approved organizational structures of Ukrainian public bodies. One details the Kosiv City Council's structure as defined by its fortieth session, while the other outlines the State Archives of Cherkasy Region's structure per its administrative document. Columns likely contain department names, staff positions, and reporting hierarchies.
Over 90,000 Trump-related tweets from 276 Republican members of the 119th U.S. Congress form the core of this dataset. The data was collected by Qingjie Zeng and hosted on Harvard Dataverse, with a last update recorded in May 2026. It supports research on how political elites use personalized praise to signal loyalty to specific voter bases.
Figshare hosts anonymized heart rate and resting heart rate time-series recordings for 300 participants in a malaria cohort study. Data was collected using Garmin Vivosmart 5 wearables and supports a 2026 npj Digital Medicine publication on GAN-based imputation for disease detection.
Fei Zhao published training results for a rock recognition model on figshare in April 2026. The dataset likely contains performance metrics from training a YOLO11 object detection model fused with EVSS. The data is stored in a 5.5 KB Excel file.
Fei Zhao published experimental results for a YOLO11 object detection model fused with EVSS on figshare in April 2026. The dataset is a 5.5 KB Excel file containing the results of this computer vision experiment. Column-level details and row count are not provided in the metadata.
Md. Sifat Haque Zidan published a dataset on figshare in April 2026 comparing the performance and training efficiency of transformer baselines and proposed CNN models. The dataset is a 5.5 KB Excel file, suggesting a small-scale, focused comparison. It is licensed under CC-BY-4.0, allowing for open reuse.