DataSalon

Discover quality datasets for AI training — aggregated from 40+ platforms, curated by AI.

ProductSearch Datasets Browse Topics Rankings Community API / MCP

ResourcesDocumentation Blog Changelog Status

LegalPrivacy Policy Terms of Service Cookie Policy

All Categories

🎮

Reinforcement Learning

Offline RL trajectories, game data, robot demonstrations, RLHF, multi-agent interaction

11,211 datasets

Recorded Dementia Diagnoses at UK GP Practice Level

UK data on the recorded prevalence of dementia at General Practitioner (GP) practice level. The dataset is published by NHS Digital in support of the Dementia Strategy and the Dementia Challenge. It was last updated on 2026-07-08.

Tabular🇬🇧 United KingdomCSVHealthcareGp PracticeDementiaPublic Health+1

0 views

Reinforcement Learning

Newham PCT High-Value Transactions, Monthly Updated

Monthly-updated list of all financial transactions over £25,000 made by Newham Primary Care Trust. The data is part of the UK Government's commitment to transparency in public expenditure and was last updated on 2026-07-08.

TabularCSVGovernment SpendingHealthcare ExpenditureFinanceTransparencyPublic FinanceUk Healthcare+1

0 views

Reinforcement Learning

Charity Commission High-Value Spending Over £25,000, Monthly Updated

The Charity Commission for England and Wales publishes a monthly-updated list of its financial transactions exceeding £25,000. This data supports the UK Government's commitment to transparency in public expenditure. The dataset is available in CSV and HTML formats under the OGL-UK-3.0 license.

TabularCSVGovernment SpendingFinancial TransactionsCharity FinanceFinanceTransparencyUk Public Sector+1

0 views

Reinforcement Learning

High-throughput Saccharomyces cerevisiae Cultivation Data for Untargeted Metabolomics

Supporting Information for a high-throughput yeast cultivation method includes credentialing results for untargeted metabolomics. The dataset, associated with Lorenzo Favilli at the University of Luxembourg, contains results from HILIC and RP-lipids chromatography, metabolite annotations, and statistical analyses. It is published under an Open Access license.

TabularUntargeted MetabolomicsCredentialingMass SpectrometryYeast MetabolomicsHigh Throughput Cultivation+1

0 views

Reinforcement Learning

Ship Collision Avoidance Algorithm Performance Metrics

5.5 KB of experimental results comparing a proposed multi-agent game-theory algorithm for ship collision avoidance. The dataset likely contains key performance indicators such as collision rate, COLREGs compliance rate, trajectory smoothness, and average risk, derived from simulations using historical AIS data. It was authored by Tie Xu and last updated on June 3, 2026.

TabularExcelMulti Agent SystemsShip Collision AvoidanceGame TheoryAis DataReinforcement Learning+1

0 views

Reinforcement Learning

Performance Improvement vs DRL-COLREGs: Ship Collision Avoidance Algorithm Results

5.5 KB of experimental results from an algorithm combining multi-agent systems and game theory for ship collision avoidance. The dataset, authored by Tie Xu and shared on figshare, likely contains key performance metrics such as collision rate and COLREGs compliance rate. It was last updated on June 3, 2026.

TabularExcelMulti Agent SystemsShip Collision AvoidanceGame TheoryAis DataDrl+1

0 views

Reinforcement Learning

Ship Encounter Patterns for Collision Avoidance Algorithm Testing

Historical Automatic Identification System (AIS) data used to verify a ship collision avoidance algorithm. The dataset, created by Tie Xu and last updated in June 2026, supports testing of a multi-agent reinforcement learning framework. It likely contains encounter characteristics and inferred risk attitudes derived from AIS data.

TabularExcelAis DataMaritime NavigationCollision AvoidanceShip Encounters+1

0 views

Reinforcement Learning

Ship Encounter Azimuth Mapping Characteristics for Collision Avoidance

Ship encounter azimuth mapping characteristics likely derived from historical Automatic Identification System (AIS) data. The dataset was created by Tie Xu and published on figshare under a CC-BY-4.0 license. It was last updated on June 3, 2026.

TabularExcelMulti AgentShip CollisionGame TheoryAis DataMaritime Navigation+1

0 views

Reinforcement Learning

PyGBe Convergence Data: Errors for a Spherical Molecule

Convergence results for PyGBe and APBS solvers using a spherical molecule of radius 4 Armstrong with a centered charge of –1e. Errors were calculated with respect to extrapolated values from Richardson extrapolation. This data supports the 2014 paper 'A biomolecular electrostatics solver using Python, GPUs and boundary elements'.

TabularComputational PhysicsBiomolecular ElectrostaticsConvergence AnalysisPoisson BoltzmannBoundary Element Method+1

0 views

Reinforcement Learning

Gifford Marine Park: Seamount Bathymetry Flythrough

Bathymetric data from 2007 and 2017 surveys visualizes two large, flat-topped volcanic seamounts in the Gifford Marine Park, located 700 km east of Brisbane on the Lord Howe Rise. The flythrough movie depicts seafloor features including sediment veneers, bedform fields, steep cliffs, and mass movement scars across over 3 km of ocean depth. This dataset supports research into Miocene hotspot volcanism and the role of seamounts as habitats for cetaceans and migratory pelagic species.

VideoGeospatialSeamountOceanographyMarine GeologyGeospatial DataSeafloor Bathymetry+1

0 views

Reinforcement Learning

Analysis of Work Process at a Family Health Support Center in Pernambuco, Brazil

A qualitative case study analyzes the work process of a team at a Family Health and Primary Health Care Expanded Support Center in a municipality in Pernambuco, Brazil. The study employed focus groups and analytical maps for data collection and used the Discourse of the Collective Subject technique for organization and analysis. The author is Arthur Grangeiro do Nascimento, and the dataset is available via paperswithcode under an Open Access license.

TextHealthcareBrazil HealthcareQualitative analysisHealthcare WorkforcePublic Health+1

0 views

Reinforcement Learning

C57BL/6N Mouse Metabolic Effects of High Fat Diet by Sex and Body Weight

University of Cambridge researchers Camilla Ingvorsen and Natasha A. Karp produced raw data and analysis scripts for a study on metabolic effects. The data supports the manuscript 'The role of sex and body weight in metabolic effects of high fat diet on C57BL/6N mice.' It likely contains experimental measurements from mice under different dietary conditions.

TabularMouse ModelBody WeightMetabolic ResearchHigh Fat DietSex Differences+1

0 views

Reinforcement Learning

A model to assess the relationship between management opportunism and auditor reaction. Si

A study by Adela Deaconu investigates earnings management and auditor reactions using financial restatements. The empirical approach uses a self-constructed model to detect the influence of financial restatements on discretionary accruals. This research provides a tool for assessing the relationship between management opportunism and auditors' reactions.

TabularAuditingEarnings ManagementBrazilian CompaniesCorporate GovernanceFinanceFinancial Restatements+1

0 views

Reinforcement Learning

Duo-Grid in GFDL's FV3: Code and Simulation Files for Cubed Sphere Testing

Supporting simulation files and code for the JAMES technical paper on implementing the novel Duo-Grid in GFDL's FV3 Dynamical Core. The study tests the implementation through idealized 2D and 3D simulations to address cubed sphere grid imprinting. The code is a test version compiled with FMS version tag 2020.04.

TabularGeophysical Fluid DynamicsFv3 Dynamical CoreSimulation FilesCubed Sphere GridClimate Modeling+1

0 views

Reinforcement Learning

Bitcoin UTXO Records from Blocks 1–870,429

6,508 CSV chunks store serialized UTXO records extracted from Bitcoin Core's chainstate LevelDB database. The data covers blocks 1 through 870,429 and includes output script type, value, block height, and transaction output point. Author David Melo organized the chunks into immutable, mutable low, and mutable high groups based on spendability and access frequency.

TabularCryptocurrencyUtxoBitcoinBlockchainTransaction Data+1

0 views

Reinforcement Learning

Europa Double Ridge Formation Data with Radargrams and Inversion Outputs

An archive of data supporting a 2022 Nature Communications study on double ridge formation over shallow water sills on Jupiter's moon Europa. The data includes WorldView satellite imagery, reprocessed radargrams for radar analysis, and outputs from inversion and sensitivity test runs. Riley Culberg of Stanford University produced this data.

ImageGeospatialEuropaRadar DataSatellite ImageryGeophysical InversionPlanetary Science+1

0 views

Reinforcement Learning

Antarctic Basal Thermal Conditions from Adélie-George V Coast

Processed data and logistic regression analysis results from a 2024 study by Eliza Dawson of Stanford University. The dataset supports research on heterogeneous basal thermal conditions under the Adélie-George V Coast in East Antarctica. It was published in the journal Geophysical Research Letters (GRL).

TabularGeospatialAntarcticaGlaciologyGeospatial AnalysisBasal Thermal Conditions+1

0 views

Reinforcement Learning

SCEC Community Stress Model: 11 Geologic Stress Models for Southern California

Southern California crust and lithosphere stress and stressing rate models compiled by the SCEC Community Stress Model Working Group. The current version includes 11 distinct models: 6 of stress and 5 of stressing rate, contributed by authors between 2012 and 2017. Values are reported on a uniform grid covering southern California at ~2 km resolution for the crust and ~5 km resolution for the deeper lithosphere.

TabularGeospatialLithosphereGeophysicsSouthern CaliforniaEarthquake ModelingStress Tensor+1

0 views

Reinforcement Learning

Supporting Data for Sea Surface Warming Patterns and Hydrological Sensitivity

Supporting data for a Nature Climate Change paper by Shipeng Zhang from the University of Oxford. The dataset includes integrated fields from CAM5 patch experiments and post-processed data from CMIP5 and CMIP6 models. It also contains Python code for reproducing the manuscript's figures.

TabularTime SeriesClimate ScienceSea Surface TemperatureHydrological SensitivityClimate Models+1

0 views

Reinforcement Learning

Raman Spectroscopy Images of Human Aorta for Atherosclerosis and Calcification Research

Research data supports a 2017 Science Advances publication by Amanda Y. F. You from Imperial College London. Raman spectroscopy imaging reveals the interplay between atherosclerosis and medial calcification in human aorta tissue. The dataset is published under an Open Access (green) license.

ImageAtherosclerosisVascular BiologyMedical ImagingBiomedical ResearchRaman Spectroscopy+1

0 views

PreviousPage 39 of 558Next

Reinforcement Learning Datasets | DataSalon