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Reinforcement Learning

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

11,202 datasets

Noise Mapping Scotland: Candidate Quiet Areas for Noise Action Plans

Candidate Quiet Areas are provisional designations of parks and gardens larger than 9 hectares with low environmental noise levels. Scottish Ministers commissioned this strategic noise mapping analysis to meet the requirements of the Environmental Noise (Scotland) Regulations 2006, as amended in 2018. The digital boundaries support the development of noise action plans aimed at preserving good noise quality and protecting quiet areas in agglomerations.

GeospatialZIPNoise MappingGeospatial BoundariesScotlandEnvironmental NoiseQuiet Areas+1

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Reinforcement Learning

Noise Mapping Scotland Agglomeration Boundaries for Action Plans

Digital boundaries of Agglomerations were created for Round 4 strategic noise mapping to meet the requirements of the Environmental Noise (Scotland) Regulations 2006, as amended in 2018. The dataset, commissioned by Scottish Ministers, supports the development of noise action plans to preserve quiet areas and good noise quality. It is based on National Records of Scotland Settlements data and OS Open Greenspaces, last updated on 2026-06-19.

GeospatialZIPNoise MappingGeospatial BoundariesEnvironmental RegulationUrban Planning+1

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Reinforcement Learning

Australia's Seabed Map 2023: 250m Resolution Bathymetry Grid

Australia's Seabed Map 2023 provides a three-dimensional picture of the seafloor across a vast area from 92°E to 172°E and 8°S to 60°S, including areas adjacent to the Australian continent, Tasmania, and surrounding islands. The map is based on the AusBathyTopo 250m grid, compiled from 1582 individual surveys using multibeam echosounders, LiDAR, and other sources, and incorporates satellite data for coastline definition. This digital dataset, produced by the Australian Ocean Data Network, represents a significant improvement since its last revision in 2009.

Geospatial🇦🇺 AustraliaMarine ScienceSeabed MappingBathymetry+1

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Reinforcement Learning

Occurrence Records for 10 Plant Species in Japan and Russia

1564 georeferenced species occurrence records from the Global Biodiversity Information Facility (GBIF). The data matches a query for 10 specific plant taxa in Japan and the Russian Federation, aggregated from 49 constituent datasets. The dataset was created by a GBIF.Org user.

TabularGeospatialJapan RussiaBotanySpecies OccurrenceBiodiversity+1

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Reinforcement Learning

Selenium and Streamflow Data from the Blackfoot River Watershed, 2001-2016

Streamflow, selenium concentrations, and load calculations collected by the Idaho Department of Environmental Quality and the U.S. Geological Survey from the Blackfoot River watershed in southeast Idaho. These datasets support the analyses in the associated 2018 scientific publication by Zinsser et al. The file collection provides the exact data used for figures and statistics in the report, which may be tedious to reproduce from the primary USGS source.

TabularTime SeriesGeospatialEnvironmental scienceSeleniumWater Quality+1

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Reinforcement Learning

Biochemical Effects of Acute Caffeine Supplementation in Endurance Exercise in Rats

Vivian Francielle França's study investigates the biochemical effects of acute caffeine supplementation after endurance exercise in 27 male Wistar rats. The dataset likely contains analyzed levels of blood glucose, triglycerides, serum lactate, and glycogen concentrations in liver and muscle tissue. Results indicate caffeine preserved blood glucose and liver glycogen levels and elevated plasma glycerol by 31.2% compared to the exercised control group.

TabularMetabolic EfficiencyBiochemical ResponseCaffeine SupplementationEndurance ExerciseAnimal Study+1

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Reinforcement Learning

AusSeabed: Coordinated National Seabed Mapping Data for Australia

Three years of coordinated seabed mapping data from the AusSeabed program, managed by the Australian Ocean Data Network. The data covers Australia's marine jurisdiction of over 10 million square kilometres, with an estimated 25% mapped to adequate resolution. This federated, cloud-based platform collates seabed mapping datasets and integrates them with other marine data types.

Geospatial🇦🇺 AustraliaOceanographyMarine DataSeabed MappingFinanceLarge Scale+1

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Reinforcement Learning

Gait Parameters for Falls Risk in Women Aged 50 to 70 Years

Thirty-five healthy women without a recent history of falls were analyzed using three-dimensional gait analysis. The dataset compares spatiotemporal gait parameters between young women (20-40 years) and adult/older women (50-70 years). It was created by Flávia Martins Gervásio and is available via paperswithcode.

TabularFalls RiskGait AnalysisBiomechanicsAging WomenClinical Research+1

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Reinforcement Learning

Autonomous Vessel Test Data for Detecting Weak Emergent Behavior

Experimental input and output data from an industrial case study on an Autonomous Surface Vessel performing a Search and Rescue mission. The data was generated using the Taguchi method for Design of Experiments and analyzed with regression techniques by researchers at the University of South-Eastern Norway. The dataset is organized across 10 spreadsheet sheets covering screening, investigation, and analysis phases.

TabularEmergent BehaviorSearch And RescueDesign Of ExperimentsRegression AnalysisAutonomous Systems+1

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Reinforcement Learning

Chlorophyll-a Measurements from RV Investigator Voyage IN2024_T01, March 2024

Southern Australian waters between Fremantle and Hobart are covered by chlorophyll-a data collected during the RV Investigator voyage IN2024_T01 from 9 to 20 March 2024. The dataset comprises in vitro fluorometric analyses from underway seawater and CTD collections, providing an indicator of phytoplankton biomass. It was contributed by the Australian Ocean Data Network to support oceanographic and ecological studies.

TabularOceanographyPhytoplankton BiomassMarine ProductivityChlorophyll AAustralian Waters+1

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Reinforcement Learning

Urban Park Physical Activity Observations in Presidente Prudente, 2015

2015 observations of 19,105 individuals in Parque do Povo, the main public park in Presidente Prudente, Brazil. Data was collected using the System for Observing Play and Recreation in Communities (SOPARC) tool. The study was authored by Fernanda Berguerand Xavier to verify the relationship between parks and physical activity.

TabularSystematic ObservationHealthcarePhysical ActivityUrban ParksPublic Health+1

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Reinforcement Learning

Home Environment Motor Stimulation for 410 Children in Rio Grande do Sul

410 children aged 18 to 42 months participated in a study analyzing home environment quality for motor development opportunities in central Rio Grande do Sul. The research used the AHEMD-SR instrument and found households with lower parental wages and education provided significantly fewer motor stimulation opportunities. Ellen Santos SOARES authored this study, which concluded a shortage of development-promoting materials in most residences, strongly linked to family socioeconomic status.

Tabular🇧🇷 BrazilChild DevelopmentHome EnvironmentSocioeconomic FactorsMotor Skills+1

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Reinforcement Learning

User Insights on Medicine Access in Primary Care, 692 Interviews in Blumenau 2010

A 2010 cross-sectional study of 692 primary care users in Blumenau, Santa Catarina, Brazil, evaluating access to medicines. The dataset includes variables on demographics, drug usage, waiting times, and information received, comparing users of the Family Health Strategy and General Ambulatory modes. It was authored by Ernani Tiarajú de Santa Helena and published via paperswithcode.

Tabular🇧🇷 BrazilCross Sectional StudyHealthcare AccessBenchmarkPrimary CareHealthcarePharmaceuticals+1

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Reinforcement Learning

Ontario Correctional Institution Staffing Lockdowns by Facility and Year

Annual counts of full-day, institution-wide staffing-related lockdowns at adult correctional facilities in Ontario. The dataset is reported on a facility-by-facility basis and is published by the Government of Ontario. It was last updated on June 3, 2026.

TabularCSVExcelFacility DataOntarioStaffingCorrectionsLockdowns+1

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Reinforcement Learning

Institutional Factors and Cesarean Section Rates in Santa Catarina, Brazil

A cross-sectional study based on data from the Sistema de Informações sobre Nascidos Vivos (SINASC) for the state of Santa Catarina, Brazil. The dataset covers 61,278 births across 61 maternity services in six municipalities. The research was authored by Paulo Fontoura Freitas and investigates the association between institutional factors and cesarean section rates.

Tabular🇧🇷 BrazilHealthcareCesarean SectionBirth CarePublic Health+1

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Reinforcement Learning

Genetic Stability in Triticale Measured by Pollen Viability

1,000 pollen grains were analyzed per genotype in a study by Embrapa Wheat to infer genetic stability. The research assessed hexaploid triticale genotypes in a Brazilian breeding program using optical microscopy and acetic carmine staining. Data includes counts of binucleate and trinucleate pollen grains, grains with little starch, empty grains, and those with more than one pore or different sizes.

TabularCytogeneticsCrop BreedingPlant GeneticsTriticalePollen Viability+1

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Reinforcement Learning

Feeding the National Accounts: Survey of U.S. Economic Data Sources

An article by Joseph A. Ritter of the Federal Reserve Bank of St. Louis surveys the primary data sources used to construct the U.S. National Income and Product Accounts (NIPA). It focuses on the raw inputs to the process, detailing who answers what kinds of questions. The description highlights the considerable uncertainty inherent in these aggregate economic measurements and the need for ongoing evaluation of data-collection efforts.

TabularSurvey DataNational AccountsBenchmarkEconomic DataStatistics+1

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Reinforcement Learning

Urban Park Physical Activity Observations in Presidente Prudente, 2015

TabularSystematic ObservationHealthcarePhysical ActivityUrban ParksPublic Health+1

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Reinforcement Learning

Soil Radiocarbon and Organic Carbon Data from 52 Studies

A subset of soil density fraction data from The International Soil Radiocarbon Database (ISRaD), compiled for a meta-analysis. The data includes measurements of radiocarbon persistence, organic carbon abundance, and the proportion of carbon in mineral-associated fractions from 52 studies. The dataset was used by Katherine Heckman of the US Forest Service to support a manuscript titled 'Beyond Bulk'.

TabularTime SeriesSoil Organic CarbonSoil ScienceMeta AnalysisEnvironmental DataRadiocarbon+1

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Reinforcement Learning

California Hydrological Simulations with Natural and Human Influences

Hydrological simulations for California derived from the PCR-GLOBWB model, including drought analysis. The data was created by Niko Wanders of Utrecht University to support a 2017 review paper on the human-water interface in hydrological modeling. The dataset's specific temporal coverage is not stated in the provided metadata.

Time SeriesGeospatialHydrological SimulationWater ResourcesCaliforniaDrought Analysis+1

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