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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
17,630 datasets
Organogram data from UK central government departments and agencies, showing all staff roles and listing names and salaries for Senior Civil Servants. Snapshots are published biannually for 31st March and 30th September, validated and released in CSV format under an OGL-UK-3.0 license. The data series has been published since 2010 by entities such as Sport England.
Organogram data released by all UK central government departments and agencies since 2010. Snapshots for 31st March and 30th September are published biannually, showing all staff roles and listing names and salaries for Senior Civil Servants. The data is validated and released in CSV format under an OGL-UK-3.0 license for reuse.
Organogram data from UK central government departments and agencies, showing all staff roles and listing names and salaries for Senior Civil Servants. Snapshots are published biannually for 31st March and 30th September, validated and released in CSV format under an OGL-UK-3.0 license. The data series has been published since 2010 by entities such as Sport England.
Organogram data shows all staff roles within UK central government departments and agencies. Names and salaries are listed for Senior Civil Servants. The data is published twice yearly by the UK government under the OGL-UK-3.0 license.
Organogram data released by all UK central government departments and agencies since 2010. Snapshots for 31st March and 30th September are published biannually, showing all staff roles and listing names and salaries for Senior Civil Servants. The data is validated and released in CSV format under an OGL-UK-3.0 license for reuse.
Organogram data from UK central government departments and agencies, showing all staff roles and listing names and salaries for Senior Civil Servants. Snapshots are published biannually for 31st March and 30th September, validated and released in CSV format under an OGL-UK-3.0 license. The data series has been published since 2010 by entities such as Sport England.
42 core samples from the Lower Ordovician Nambeet Formation in the Barnicarndy 1 well were analyzed for acid-resistant organic-walled microfossils. The study, part of Geoscience Australia's Exploring for the Future Energy program, identified a diverse suite including acritarchs, cryptospores, and graptolites. Digital images of the microfossils accompany the record.
Measurements of planar crank turning include crank positions, velocities, forces, moments, and EMG data. This data was collected as part of Joseph Doeringer's PhD thesis and presented in multiple journal and conference papers from MIT. The dataset is associated with code archived on Zenodo and GitHub.
Valerio Rizzi from ETH Zurich combined machine learning with physical intuition to build a water-describing collective variable for atomistic simulations. This variable was used to study host-guest systems from the SAMPL5 challenge, obtaining highly accurate binding free energies and good agreement with experiments. The dataset likely contains simulation results and analyses detailing the role of water during the binding process.
A randomized control trial measured the effect of an information and communications technology intervention on electoral integrity in Uganda. The intervention involved delivering letters to polling officials stating that tallies would be photographed and compared against official results. The study was conducted by Michael Callen of Harvard University.
Data from simulations for the paper 'The Runaway Greenhouse Effect on Hycean Worlds' accepted for publication in ApJ. The repository contains atmospheric profiles and correlated-k spectral tables used with the SOCRATES radiative transfer code. Author Hamish Innes from the University of Oxford produced this data.
Six distinct collections of fluorescence microscopy images accompany a paper on object detection networks and augmented reality for cellular analysis. The data includes 80 to 180 annotated images per subset, featuring erythroblast, neuroblastoma, fibroblast, eukaryote, C127, and Hela cells stained with various markers. Dominic Waithe from the University of Oxford created this dataset, which contains bounding box annotations compatible with Faster-RCNN and YOLOv2.
Several days of recordings from a Sony Smartwatch 3 and a Vicon motion capture system in the United Kingdom. The dataset contains 3-axial acceleration, gyroscope, and magnetometer data from the smartwatch on both hands, plus ground-truth location data from Vicon for hands and ankles. It covers 18 distinct activities of daily living, including walking variations, personal hygiene, and object manipulation tasks.
Matthias Meyer and ETH Zurich provide annotated micro-seismic recordings and images from the Matterhorn Hörnligrat field site at 3500 m a.s.l., collected under project X-Sense2. The dataset includes primary seismic data, high-resolution images, and secondary sensor data like wind speed and rock temperature. It is designed for systematic identification of external influences on seismic signals, as described in a 2018 publication.
Three simulated cerebral microvascular networks from mouse parietal cortex provide averaged flow, pressure, and discrete red blood cell trajectories. Data is stored as a graph structure with detailed vessel-level attributes, including diameter, hematocrit, and vessel type classification. The simulations use a numerical model with discrete RBC tracking, enabling analysis of hemodynamics at the capillary scale.
A 1995-2019 compilation of publicly available iron complexation datasets for the Southern Ocean, including dissolved iron concentrations, iron-binding ligand concentrations, and complexation capacities from 25 studies. The collection was compiled to understand drivers of ligand supply to the Antarctic coast and offshore. It is hosted by the Australian Ocean Data Network.
Australian Ocean Data Network hosts research data from a PhD project on the Striped Trumpeter (Latris lineata). The study characterized immunoglobulins and investigated the onset of the antibody response in hatchery-reared fish. The dataset was last updated on 2026-07-22.
Nine Australian coastal sites monitor Secchi depth and total suspended solids for water clarity. Sampling began between 2008 and 2010, is ongoing at seven sites, and ceased at two Western Australian sites in 2013. The dataset is part of the Integrated Marine Observing System National Reference Station network and has been superseded by a combined biogeochemical collection.
Integrated Marine Observing Systems (IMOS) National Reference Station data includes picoplankton analyzed by flow cytometry from nine Australian coastal sites. Sampling began between September 2008 and November 2010 and is ongoing for seven sites, with monthly collection from small vessels. The dataset is managed by the Australian Ocean Data Network and has been superseded by a combined biogeochemical parameters collection.
Nine Australian coastal sites provide data on salinity, carbon, alkalinity, oxygen, and nutrients from water samples. Sampling began between September 2008 and November 2010 and is ongoing for seven sites, with historical data available for three sites dating back to the 1940s. The dataset is managed by the Australian Ocean Data Network as part of the Integrated Marine Observing System.