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Offline RL trajectories, game data, robot demonstrations, RLHF, multi-agent interaction
8,861 datasets
A geospatial dataset from the NSW Department of Climate Change, Energy, Environment and Water, published on 28/08/2024. It contains modelled data representing long-term average annual water extraction limits, likely for water resource planning and compliance monitoring. The data is served via an ArcGIS REST API and is referenced to the GDA94 spatial coordinate system.
Inland New South Wales wetlands are mapped for water sharing plans. The data generates an interactive map and was published by the NSW Department of Climate Change, Energy, Environment and Water on August 28, 2024. It is served via an API and WMS service.
Experimental data from a comparative study submitted to Case Studies in Construction Materials. The dataset contains 11 structured sheets covering chemical composition, mix designs, mechanical performance, particle size distribution, water absorption, bulk density, porosity, embodied carbon, material costs, and statistical analysis. It was last updated on 2026-05-05.
Data Sheet 2_APOE3-Christchurch variant enhances neurovascular support functions of iPSC-derived mesenchymal stromal cells.zip is a dataset by Paula J. Rodriguez Martinez, last updated on 2026-06-01. It contains data from a study comparing isogenic iPSC-derived mesenchymal stromal cells (iMSCs) with the protective APOE3-Christchurch variant to standard APOE3 iMSCs. The data likely includes results from immunosuppression assays, endothelial barrier and angiogenesis co-cultures, neurite outgrowth tests, and metabolic profiling.
A 1.8 MB PDF from figshare details experimental findings on a protective genetic variant in Alzheimer's Disease research. The work by Paula J. Rodriguez Martinez, last updated in June 2026, compares isogenic iPSC-derived mesenchymal stromal cells (iMSCs) with the APOE3-Christchurch variant against standard APOE3 iMSCs. It reports on their immunosuppressive effects, endothelial barrier support, angiogenic capacity, and promotion of neurite outgrowth.
Engineered Pseudomonas aeruginosa strains with modified lipid A structures show reduced Toll-like receptor 4 activation and attenuated virulence while preserving immunogenicity. The dataset, authored by Víctor Fuentes-Valverde and shared under CC-BY-4.0, details the construction and evaluation of these mutants in an acute pneumonia model. It comprises a 917.3 KB PDF document last updated on June 1, 2026.
A two-part seabed geomorphology classification scheme; Part 1: Morphology features glossary (Version 2) updates a 2016 system and provides a new glossary for characterizing the seabed. The glossary entries include feature definitions and schematic diagrams to support clear classification, drawing from and modifying the IHO guide for undersea feature names. It results from collaboration between marine geoscientists from mapping programs in Norway, Ireland, the UK, and Australia.
Schmidt Ocean Institute collected bathymetry data and seafloor imagery highlighting canyon environments within the Gascoyne Marine Park offshore northwestern Australia. The dataset describes features like the Cape Range Canyon, its steep walls showing slumping, and plunge pools from turbidity currents. Funding was provided by Schmidt Ocean Institute, Geoscience Australia, and other Australian government and research bodies.
The National Native Title Tribunal provides a dataset of approved determinations of native title, which are legal decisions on the existence of native title over specific areas of land or waters in Australia. It includes determinations made by the Federal Court, High Court, or recognized state bodies, as well as some representations not yet formally registered. The data supports the mapping and legal understanding of Indigenous land rights across Australia.
Multibeam sonar mapping, drill cores and underwater video data from the Australian Ocean Data Network confirm a previously unknown coral reef province in the Gulf of Carpentaria. The dataset includes U/Th ages showing reef growth commenced around 10.5 kyr BP and persisted for approximately 2.0 kyr, with measured growth rates of 0.95 to 4 m kyr-1. The data indicates these are mostly relict features whose major growth phase relates to an earlier sea-level stillstand.
Australian Ocean Data Network hosts a 2019 research article reviewing the objectives of Australia's Marine Park network and analyzing monitoring program design within an Evidence Based Decision Making paradigm. The work identifies question types and data analysis needed to address conservation objectives and assesses design strategies using an evidence hierarchy. The publication appears in Frontiers in Marine Science and is accessible via an HTML page.
New South Wales forested water catchments are analyzed for trends in water quality and quantity. The University of Melbourne produced this data for the Forest Monitoring Steering Committee, with outputs published in June 2022. It contains estimated Mann-Kendall trends for indicators at monitoring sites in catchments with over 50% forest cover.
Aliana Norris's supplementary dataset provides calculated Conefor values for evaluating the connectivity of protected areas for snow leopard conservation in Central Asia. The dataset, published on figshare in May 2026, likely contains Integral Index of Connectivity (IIC) scores and fractions used to rank and prioritize protected areas. It supports analysis of the existing protected area network's effectiveness in facilitating functional connectivity.
Annual and daily average patronage estimates for Melbourne metropolitan train stations, rounded to the nearest 50 entries. The data, provided by the Department of Transport and Planning, is derived from myki ticketing data and factored up using survey and barrier count data to account for transaction rates. It allows analysis of station entries by day type and time of day.
Ships of Opportunity for PACE (SO-PACE) collects oceanographic data to validate satellite observations. The dataset includes hyperspectral remote-sensing reflectance (350-750 nm), inherent optical properties, and continuous phytoplankton community measurements from instruments like Imaging FlowCytobot and SeaFlow. It is produced by NASA and involves opportunistic deployments on research vessels.
Spatial Services collects medium and high-resolution orthorectified digital imagery across the entire state of New South Wales from 2006 to the present. Imagery is sourced from satellite, aircraft, and vehicle-mounted sensors, including multispectral and hyperspectral data. This hosted feature layer supports applications in mapping, emergency services, and natural resource management.
382.9 KB of high-resolution dissolved oxygen and carbon dioxide measurements collected during a multi-month deployment in 2025 using the Gradient Exchange Mass Spectrometry (GEMS) system in a Zostera marina meadow near Woods Hole, Massachusetts. The dataset includes photosynthetically active radiation, water temperature, dissolved gas concentrations, gradients, turbulence parameters, and derived flux estimates. Matthew Long authored this work, supported by NSF Award 2023069.
Global Geomorphic Process Domain Map is a high-resolution global raster dataset created by researchers from the California Institute of Technology. It maps the physical processes shaping Earth's surface over 100 to 100,000 years at a 250-meter resolution. The dataset was published on figshare in 2026 under a CC-BY-4.0 license.
Gene primer sequences used in quantitative PCR (qPCR) analysis within a study of sulfated polysaccharides from red algae. The dataset supports research into the antioxidant and anticancer properties of Gracilaria corticata extracts. It was authored by Zeynab Falihzadeh and last updated on May 18, 2026.
Zeynab Falihzadeh published a dataset on figshare in 2026 detailing the experimental design for optimizing sulfated polysaccharide extraction from red algae Gracilaria corticata. The dataset likely contains parameters and results from extraction optimization, chemical characterization, and bioactivity assays. It is a small dataset of 5.5 KB, stored in an XLS file.