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Offline RL trajectories, game data, robot demonstrations, RLHF, multi-agent interaction
9,903 datasets
IMOS 'Ships of Opportunity' data was collected by the 'Sensors on Tropical Research Vessels' sub-facility aboard the RV Cape Ferguson during Trip 6712. The voyage occurred from 06 April 2017 to 17 April 2017. This dataset is managed by the Australian Ocean Data Network.
Australian coastal sensor data was collected by the RV Cape Ferguson during a 12-day voyage from 06 to 17 April 2017. The dataset originates from the Integrated Marine Observing System's 'Sensors on Tropical Research Vessels' sub-facility. It is managed by the Australian Ocean Data Network.
Extents of individual mine water treatment schemes managed by the Coal Authority, now the Mining Remediation Authority. The schemes treat waters affected by past coal mining activities. The dataset was last updated on 2026-04-14.
Research by Arnav Goel establishes a mathematical framework for multi-agent swarm coordination to map complex infrastructure networks. The study demonstrates a 5.8 to 18.3-fold speed advantage over single-agent approaches through discrete-event simulations in Python using synthetic and real-world-inspired graph datasets. The data supports findings on the efficiency of collective robotics for critical infrastructure assessment.
A dataset for evaluating reinforcement learning agents, created by HPAI-BSC and last updated on 2026-05-04. It contains multiple splits, including a baseline with no injected cues and four cue-based splits. Each cue type is instantiated in both assistive (consistent with ground truth) and adversarial (supporting an incorrect option) variants.
Data from Plitt & Giocomo (2021) Nature Neuroscience study on experience-dependent contextual codes in the hippocampus. The 5.7 GB dataset contains Unity frame grabs used for morph axis definition, as referenced in Extended Data Figure 2. It was authored by Mark Plitt and is available under a CC-BY-4.0 license.
The Aquifer Designation Dataset for England version 2 classifies bedrock and superficial geologic units according to their aquifer designation. It is jointly owned by the British Geological Survey and the Environment Agency, derived from BGS Geology 50k (DiGMapGB-50) data. The dataset was last updated on 2026-04-09.
British Geological Survey and Natural Resources Wales jointly classify geologic units in Wales into Principal Aquifers, Secondary Aquifers, and Unproductive Strata. The dataset supports groundwater protection policies consistent with the Water Framework Directive. It is derived from the BGS Geology 50k (DiGMapGB-50) mapping.
4.2 tonnes of CO2 were injected over 37 days in the 2012 QICS1 experiment, the world's first sub-seabed CO2 release. This poster from the British Geological Survey describes the project's findings on monitoring technology, environmental impacts, and CO2 dispersion. It was presented at a CSLF poster reception in London on June 27, 2016.
Min Liu published benchmark instance data and generation code for deep reinforcement learning in mobile fulfillment systems. The dataset is 16.1 MB in size and was last updated on April 25, 2026. It is available under a CC-BY-4.0 license on figshare.
Satellite data from NASA illustrates changes taking place in the Arctic over time through a series of maps. The dataset is maintained by the NSIDC and was last updated in March 2026. It covers multiple Earth science variables including sea ice, snow cover, vegetation, and atmospheric conditions.
This pilot study dataset contains kinematic measurements from five healthy adults performing walking and sit-to-stand tasks while wearing a TWIN lower-limb rehabilitation exoskeleton. It quantifies mechanical stability via the standard deviation of relative displacement (RDstd) between exoskeleton cuffs and anatomical segments, and human-exoskeleton kinematic discrepancy (HEKD) for hip and knee joints. The data includes results for both thigh and shank segments across two functional tasks.
A qualitative study based on 39 semi-structured interviews with university students across China, conducted from March to April 2025. The data explores lived experiences, perceptions, and management strategies for health risks through thematic analysis.
29 January 2020 version of the Moreton Bay Regional Council Planning Scheme overlay for Walking Distance Centres, effective from 1 February 2016. The dataset defines zones and overlays indicating special land characteristics and development considerations, provided by the City of Moreton Bay's Data Hub.
Moreton Bay Regional Council's Scenic Amenity Overlay identifies land with special landscape features for development consideration. The planning scheme commenced on February 1, 2016, and data is provided in multiple GIS formats including GeoJSON and KML. Users must consult this data alongside the Caboolture West Local Plan and North Lakes Locality.
Moreton Bay Regional Council's planning scheme data identifies heritage and landscape overlay areas effective from February 2016. The dataset, updated in March 2026, includes overlay maps that apply constraints to property development. It is provided in multiple formats including GeoJSON, CSV, and KML.
Moreton Bay Regional Council's planning scheme data identifies properties subject to flood hazard overlays and drainage investigation requirements. The dataset, version 1 from February 2016, supports land development assessments under the Queensland Planning Provisions. It is provided in multiple geospatial formats including GeoJSON and KML.
MBRC Planning Scheme data delineates areas with exceptions to standard building height rules. The dataset, published by Moreton Bay Regional Council in February 2016, supports land development assessment. It is designed for use with the Building Heights Overlay and North Lakes Locality maps.
Moreton Bay Regional Council's planning scheme overlays for stormwater catchments, finalized for commencement on 1 February 2016. The data delineates areas where land development may be affected by stormwater management considerations, intended for use with the Caboolture West Local Plan and North Lakes Locality. Attribute fields are defined per the Queensland Planning Provisions, Schedule 2.
Moreton Bay Regional Council's planning scheme data identifies land parcels designated as environmental offset receiving areas. The dataset, version 1 from February 2016, supports growth management by applying overlays that indicate special environmental characteristics. It is maintained by the City of Moreton Bay's Data Hub.