Loading...
Loading...
Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
15,635 datasets
Supporting data for the first TMAH experiment on the Sample Analysis at Mars (SAM) instrument. The dataset, authored by Amy Williams, was last updated on April 23, 2026. It is available as a 20.4 MB XLSX file under a CC-BY-4.0 license.
Imagine.io provides 800 simulation-ready OpenUSD kitchen environments. This dataset is a public sample of programmable world-generation infrastructure designed for research and commercial teams. The dataset was last updated on April 28, 2026.
NOAA/NESDIS composites hourly global imagery from multiple geostationary satellites, including GOES-East, GOES-West, Meteosat-10, Meteosat-9, and Himawari-9. The mosaic provides visible, shortwave infrared, longwave infrared, and water vapor imagery with an approximate 8 km horizontal resolution. It is updated every hour.
A collection of seabed samples collected by Geoscience Australia and other organizations since the 1950s. Samples consist of shallow cores, dredged rocks, and sea bed sediments collected by grab and dredge methods. A large proportion of samples are refrigerated.
This collection is a daytime cloud mask product for Himawari-8/9 satellite imagery, developed by CSIRO for the Australian continent and surrounding waters. The algorithm was validated against space-borne LiDAR data. The data is provided in both a regular latitude/longitude grid and the original geostationary projection.
Marine Protected Areas (MPAs) in the South West Marine Management Organisation (MMO) Marine Plan area used for a 2017 project analysis. The dataset was overlaid by fishing effort and landings to calculate willingness to pay, water quality, and the amount of special area of conservation (SAC). The data was aggregated by the Government Digital Service from the eu_open_data platform.
Presence and count data for nematode worms and copepods collected from 12 sites around the UK coast. Sampling occurred from May 1997 to June 1999, with six inshore and six offshore locations. The dataset also includes associated sediment granulometry and trace metal concentration measurements.
A dataset containing information about the organizational structure of an information manager, as defined by the organizational and administrative document 'Structure and staffing'. The data originates from the States site of Ukraine and was last updated on April 30, 2026. The dataset is provided in JSON format.
5.0 MB of cellular network data capturing key parameters such as network quality and available bandwidth. The dataset is designed for training adaptive handover algorithms in O-RAN environments, enabling efficient and seamless connectivity. Authored by Paul Jose and last updated on April 3, 2026, it is shared under a CC-BY-4.0 license on figshare.
Greater Toronto Area digital elevation model data is organized into 20km by 20km tiles with a 5-meter spatial resolution. The dataset was produced by the Government of Ontario for pre-engineering survey, design, and planimetric mapping. Official metadata indicates a 2002 collection date, though the platform record was updated in March 2026.
Case records from the New York City Office of Administrative Trials and Hearings (OATH) Trials Division, covering closed administrative law matters adjudicated by Administrative Law Judges. The dataset includes diverse case types such as civil service discipline, contract disputes, license revocations, and consumer protection violations. It is published by data.cityofnewyork.us and was last updated in March 2026.
71.5 KB of numerical data records the in vivo bioactivities of marine actin agents in the model organism Caenorhabditis elegans. The data is tied to a manuscript titled 'Marine actin agents cause distinct in vivo neuromuscular, epithelia, and organogenesis phenotype profiles in Caenorhabditis elegans'. It was authored by Keith Choe and last updated on April 8, 2026.
TTA-ImageNet-C is a mirror of the ImageNet-C dataset created by Hendrycks & Dietterich for ICLR 2019. The dataset is maintained as part of the TTA-Evaluation-Harness and is intended for reproducible test-time adaptation evaluation. Its upstream source is Zenodo record 2235448.
Beam trawl and prawn trap catch data from two locations in Clio Channel, British Columbia, compiled by Meagan Mak. The dataset enumerates shrimp and bycatch estimates from surveys conducted in 2001 and 2002. It provides information for investigating ecosystem modification by fishing gear.
Supplementary material 1 for a study on molecular embedding-based algorithm selection in protein-ligand docking. The 1.2 MB CSV file, published under CC-BY-4.0 by Jiabao Brad Wang on figshare, was last updated on 2026-04-23. Its specific contents likely relate to molecular representations or docking performance metrics.
Projects proposed, in progress, or completed as part of the annual Uganda Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The data is provided by OCHA Humanitarian Programme Cycle Tools (HPC Tools) and was last updated on 2026-03-16. The original data is sourced from the HPC.tools platform.
Geoscience Australia Data provides a 1977 marine survey dataset from the R.V. Valdivia. The collection includes 1700 km of 24-channel seismic data, 2550 km of bathymetric, gravity, and magnetic data, and 31 bottom samples from water depths of 2000 m to 5800 m. The data covers the Scott Plateau, Argo Abyssal Plain, Roti Basin, and Java Trench off northwest Australia.
Southern Australia's Bight Basin contains a new stratigraphic interpretation of Cretaceous sedimentary rocks from petroleum wells and water bores. The record, published by Geoscience Australia, correlates onshore and offshore sections using biostratigraphic and seismic data. It identifies organic-rich shales from the Valanginian to Campanian stages, with sections reaching over 357 meters thick in the Madura 1 well.
2021 and 2022 data contains medium-term projections of acute food insecurity classifications for the Democratic Republic of the Congo, produced by FEWS NET. The dataset uses the Integrated Food Security Phase Classification (IPC) framework to categorize geographic areas. It is provided as geospatial data in KML and GeoJSON formats.
Democratic Republic of the Congo geospatial data provides FEWS NET acute food insecurity classifications for a near-term projection in 2020. The dataset was created by the Famine Early Warning Systems Network (FEWS NET) and is available in GEOJSON and KML formats. It was last updated in April 2026.