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

11,210 datasets

England Sawmill Statistics by Region from 1994 to 2015

England sawmill data from 1994 to 2015, broken down by English region. The dataset covers the number of mills, consumption of softwood, and production of sawn softwood. It is produced by the Forestry Commission, with final figures released annually in September.

TabularTime SeriesExcelEngland RegionsForestrySawmillsWood Production+1

0 views

Reinforcement Learning

England Sawmill Statistics by Region from 1994 to 2014

Final figures from 1994 to 2014 track the number of sawmills, softwood consumption, and sawn softwood production across English regions. The Forestry Commission releases this data twice yearly, with provisional figures in May and final figures in September. It supports official National Statistics publications on UK wood production and trade.

TabularTime SeriesExcelForestryRegional StatisticsSawmillsWood Production+1

0 views

Reinforcement Learning

Certified Woodland Area in the UK by Region and Sector, 2001-2017

Certified woodland areas from 2001 to 2017, broken down by UK constituent countries and by public and private sector. The dataset is produced by the Forestry Commission to support the National Statistics release on Woodland Area, Planting and Restocking. Revisions are typically available in September to support the annual Forestry Statistics and Forestry Facts & Figures publications.

TabularExcelUk RegionsForestryLand UseCertification+1

0 views

Reinforcement Learning

UK Certified Woodland Area by Region and Ownership from 2001 to 2016

Certified woodland areas for the UK and its constituent nations from 2001 to 2016. The data is broken down by England, Wales, Scotland, Northern Ireland, GB, and UK, as well as by Forestry Commission/Natural Resources Wales/Forest Service and private sector ownership. It provides supporting data for the National Statistics release on Woodland Area, Planting and Restocking, issued by the Forestry Commission.

TabularExcelEnvironmental StatisticsWoodland CertificationUk RegionsForestryLand Use+1

0 views

Reinforcement Learning

SPER Debt by SA4 Regions in Queensland

State Penalties Enforcement Registry (SPER) debt data aggregated by Statistical Area Level 4 (SA4) regions in Queensland. The dataset is provided by the Queensland Treasury and was last updated on 2026-07-02. It likely contains tabular records of government-imposed penalty debts for analysis.

TabularCSVRegional AnalysisQueenslandPenalties EnforcementGovernment DebtPublic FinancePenalties+1

0 views

Reinforcement Learning

SPER Debt by SA4 Regions and Top 10 Offence Groups in Queensland

State Penalties Enforcement Registry (SPER) debt data for Queensland, broken down by SA4 statistical regions and the top 10 offence groups. The dataset is provided by the Queensland Treasury's intelligence unit and was last updated on July 2, 2026. It is available under a Creative Commons Attribution 4.0 license.

TabularCSVQueenslandLaw EnforcementOffence CategoriesRegional StatisticsGovernment Debt+1

0 views

Reinforcement Learning

RV Investigator Voyage IN2023_V05 Catch Data for Southeast Australian Marine Ecosystem

Marine National Facility voyage IN2023_V05 collected catch specimens between 27 June and 29 July 2023. Museums Victoria recorded species identification, counts, weights, and linked them to station, location, depth, time, and gear metadata. These data establish a baseline for species composition, abundance, and distribution in southeast Australian waters.

TabularGeospatialSpecies CatchAustralian EcosystemBenchmarkOceanographic SurveyMarine Biology+1

0 views

Reinforcement Learning

Representative Aboriginal and Torres Strait Islander Body Areas for Native Title Matters

A spatial map of areas where Commonwealth-recognized bodies represent native title holders and claimants under the Native Title Act 1993. The dataset supports statutory functions like application certification, dispute resolution, and agreement-making. It was last updated on 2026-06-16 and is provided by the Australian Ocean Data Network.

Geospatial🇦🇺 AustraliaNative TitleLegal RepresentationAboriginal Affairs+1

0 views

Reinforcement Learning

NESP MB Project D4: Marine Biodiversity Spatial Data for Australian Management

A project from the NESP Marine Biodiversity Hub aims to fill data gaps for marine spatial management across Australia. Planned outputs include reports on phylodiversity, statistical methods for mixed-resolution data, connectivity models, and descriptions of deep-sea communities from expeditions. The project is associated with the Australian Ocean Data Network.

ImageTextAudioBioregionalisationSpatial PlanningMarine BiodiversityDeep Sea Communities+1

0 views

Reinforcement Learning

NESP MB Project B2: Framework for Environmental Reporting with Varied Data Quality

A research project overview describing a framework for integrating data of varying quality into Australia's State of the Environment reporting. The project, managed by the Australian Ocean Data Network, developed protocols for blending high-quality monitoring data, moderate-quality surveys, low-quality anecdotal information, and expert opinion. It aimed to provide a consistent statistical foundation for the marine chapter of the 2016 State of the Environment report.

Text🇦🇺 AustraliaExpert elicitationEnvironmental ReportingData QualityMarine BiodiversitySynthetic+1

0 views

Reinforcement Learning

Systematic Review of Computational Modelling for Personalized TAVR Planning

A 330.1 KB PDF document authored by Elisa Rauseo, last updated on June 4, 2026. It is a systematic review evaluating computational modelling approaches for planning transcatheter aortic valve replacement (TAVR), focusing on complications and decision support.

TextSystematic ReviewComputational ModellingMedical ImagingHealthcareCardiovascularTavr+1

0 views

Reinforcement Learning

NHS Nottingham & Nottinghamshire CCG Spend over £25,000

NHS Nottingham & Nottinghamshire ICB publishes all individual transactions exceeding £25,000 as part of a UK government transparency initiative. The data is released under the OGL-UK-3.0 license and was last updated on 2026-07-08. This dataset likely contains details of invoices, grant payments, and other financial transactions from the Clinical Commissioning Group.

TabularExcelGovernment TransparencyUk DataHealthcare FinancePublic Spending+1

0 views

Reinforcement Learning

NHS Kent and Medway Financial Transactions Over £25,000

Monthly-updated lists of financial transactions exceeding £25,000 made by NHS Kent and Medway, published as part of a UK government transparency initiative. The data covers spending by NHS Eastern and Coastal Kent, NHS West Kent, and NHS Medway PCTs. It was last updated on 2026-07-08.

Tabular🇬🇧 United KingdomExcelGovernment TransparencyNhsHealthcare FinanceUk NhsPublic SpendingFinancePublic ExpenditureUk HealthNhs Spending+1

0 views

Reinforcement Learning

Expenditure Exceeding £500 and Government Procurement Card Transactions

Monthly spending data from October 2014 onwards, published by East Cambridgeshire District Council. The data covers individual transactions exceeding £500 and includes Government Procurement Card spending. It is generated from Agresso Business World software, manually checked, and published as CSV files.

Tabular🇬🇧 United KingdomGovernment SpendingLocal GovernmentPublic FinanceProcurement+1

0 views

Reinforcement Learning

UK Public Sector Off-Payroll Appointee Tax Review, 2012

National Savings and Investments published the results of a UK government review into the tax arrangements of public sector appointees. The review, announced in January 2012, collected information on individuals engaged off payroll as of 31 January 2012, where the cost exceeded £58,200 per annum. Results were published on 23 May 2012.

TabularGovernment SpendingTax ArrangementsPayrollPublic SectorUk Government+1

0 views

Reinforcement Learning

iNTS-GMMA: Preclinical Vaccine Development Data Against Invasive Salmonella

Francesco Citiulo published a document on figshare in 2026 detailing the development of a bivalent GMMA-based vaccine candidate against invasive nontyphoidal Salmonella disease. The work describes genetic modifications to Salmonella strains, GMMA production under GMP conditions, and preclinical immunogenicity and safety results from mice and rabbits. The data supported the clinical evaluation of this vaccine candidate for use in sub-Saharan Africa.

TextSalmonellaPreclinical ResearchBenchmarkVaccine DevelopmentHealthcareGmma Technology+1

0 views

Reinforcement Learning

MODIS Derived Chlorophyll a Seasonal Means for Australian Waters, 2002-2017

Long-term seasonal means of chlorophyll a concentrations in ocean surface waters derived from MODIS (Aqua) satellite imagery. The dataset covers the entire Australian Exclusive Economic Zone and surrounding waters, including the southern ocean, using monthly images from July 2002 to December 2017. This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub.

GeospatialZIPOceanographySeasonal MeansComputer VisionChlorophyll AAustralian Eez+1

0 views

Reinforcement Learning

HLA Allele-Specific TCR Vβ Gene Usage Preferences

Data Sheet 1_HLA alleles shape distinct biases in the usage preferences of TCR Vβ segments.csv contains allele-specific T-cell receptor Vβ gene usage profiles derived from population-scale TCRβ repertoires. The dataset was created by Leonardo V. Castorina and last updated on 2026-05-29. It provides normalized HLA-Vβ preference vectors to quantify germline-driven TCR–HLA compatibility.

TabularCSVBenchmarkBioinformaticsGenomicsT Cell ReceptorHla AllelesImmunology+1

0 views

Reinforcement Learning

Zealandia Deep Stratigraphic Drilling Proposal and Collaboration Overview

Geoscience Australia and the Japan Agency for Marine Earth Science and Technology have collaborated since 2014 on a proposal for deep scientific drilling on the Lord Howe Rise in northern Zealandia. The goal is to collect rock cores from several kilometers below the seafloor to analyze a 100-million-year history of geology, tectonics, past climate, and ancient microbial life. The proposal has been approved by the International Ocean Discovery Program, awaiting funding.

GeospatialTectonicsOcean DrillingPaleoclimateLarge ScaleMarine GeologyGeoscience+1

0 views

Reinforcement Learning

PM2.5 and Thyroid Hormone Levels in a Preconception Cohort in Liaoning, China

1,357 women planning pregnancy were included in a cohort study conducted in Liaoning, China between January 2019 and December 2023. The data shows opposing effects of PM2.5 exposure on thyroid-stimulating hormone levels, depending on thyroid autoimmunity status. This dataset, authored by Heze Xu and shared under a CC-BY-4.0 license, is a 478.7 KB document analyzing effect modification by thyroid peroxidase antibodies.

Tabular🇨🇳 ChinaAir PollutionEnvironmental HealthCohort StudyHealthcareThyroid Function+1

0 views

PreviousPage 30 of 558Next

Reinforcement Learning Datasets | DataSalon