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3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,020 datasets
Forest gross stem volume estimates for approximately 650 million hectares of Canada's forested ecosystems. The data was generated by Natural Resources Canada using a combination of lidar plots and Landsat imagery with a Random Forests-based imputation approach. Products have a spatial resolution of 30 meters and are intended for strategic-level forest monitoring, not operational management.
2015 data representing the 95th percentile of first returns height in meters for Canada's forested ecosystems. The dataset was generated by Natural Resources Canada within the National Terrestrial Ecosystem Monitoring System framework, combining lidar plot information with Landsat pixel-based composites using a nearest neighbour imputation approach. It provides strategic-level forest monitoring information with a spatial resolution of 30 meters.
Natural Resources Canada provides a 30-meter resolution geospatial dataset of forest basal area across Canada's forested ecosystems. The data, covering approximately 650 million hectares, was generated for the period 1985–2011 by combining lidar plot data with Landsat pixel composites using a nearest neighbour imputation approach. This product is part of the National Terrestrial Ecosystem Monitoring System and is intended for strategic-level forest monitoring.
Main Roads Western Australia provides a point cloud layer containing extents of mobile, terrestrial, and airborne laser scanning. The data is used for road investigation, planning, design, construction, and asset management and is maintained and edited daily.
PanoHK360 is a city-scale outdoor panoramic dataset captured across diverse urban environments in Hong Kong. It combines 8K equirectangular RGB panoramas with LiDAR-derived metric depth, surface normal maps, raw point clouds, and 6-DoF poses. The dataset was created by adadai3132 and a filtered sample release is available on Hugging Face.
40 participants performed a standardized outdoor manual material handling task across three elevation-transition typologies: a flat trail, a stairway, and a ramp. The dataset includes wrist-worn physiological signals, GPS trajectories, fatigue ratings, and geospatial representations like a 3D point cloud. It was authored by Mohammadi Jahromi, Mahnoush and last updated on 2026-04 25.
The SPATIAL Project reconstructed cross-sectional planes from the Visible Human female dataset, courtesy of the U.S. National Library of Medicine. The 34.5 GB collection of DICOM files enables 3D reconstructions and real-time multiplanar scrolling. It was authored by Cailin Mellberg and last updated on 2026-04-17.
4 keyword clusters were generated from Scopus publication metadata using co-occurrence analysis. The dataset contains between 17 and 36 keywords per cluster, resulting from a search for English-language publications with 'augmented reality' and 'anxiety' in the title, abstract, or keywords. Dinara Suleimanova created this dataset, which was last updated on April 8, 2026.
A coordinate-based meta-analysis synthesizes findings from 11 eligible neuroimaging studies involving 2,993 participants. The research identifies a convergent structural correlate of psychological resilience in the medial frontal-cingulate brain architecture. The analysis was performed using MKDA (Multilevel Kernel Density Analysis) with results family-wise error–corrected.
Geoscience Australia produced free, Web-viewable 3D models of coastal seabed characteristics. The models integrate spatial data like digital elevation models, multibeam bathymetry, sediment samples, benthic habitats, and satellite imagery for the Keppel Bay and Fitzroy River area in Queensland, Australia. The data is presented using the open-source Virtual Reality Modelling Language (VRML) format.
Geoscience Australia produced free Web-viewable 3D models of coastal data for sharing with partners and stakeholders. The models integrate spatial data including digital elevation models (DEMs), multibeam bathymetry, sediment samples, benthic habitats, and satellite imagery within an easy-to-use interface. The specific model described covers the Keppel Bay and Fitzroy River area in Queensland, Australia.
London and Thames Valley regional hazard susceptibility map identifying potential shrink-swell hazard in three-dimensional space at intervals down to 20m. The data classifies Volume Change Potential (VCP) of shrink-swell clays on an A-E (low to high) range. It is produced by the British Geological Survey (BGS), derived from BGS Geology 50k data, the BGS London Lithoframe 3D model, and the GeoSure v7 Shrink-Swell layer.
Forest Elevation(Ht) Covariance 2015 is a geospatial dataset representing the coefficient of variation of first returns height (%), which indicates variability in canopy heights relative to the mean. It was developed by Natural Resources Canada within the National Terrestrial Ecosystem Monitoring System (NTEMS) framework, using a method combining lidar plot data with Landsat composites via a nearest neighbour imputation approach. The data covers Canada's forested ecosystems from 1985 to 2011 and has a spatial resolution of 30 meters.
Geoscience Australia constructed a three-dimensional volumetric model of the Cottesloe Syncline district in the northwest Paterson Orogen. The model was built using 3D Geomodeller software to test geological hypotheses and was exported to Virtual Reality Modelling Language (VRML) for broad accessibility. The work is documented in a report published externally on data_gov_au.
Khorshed Alam published a dataset on figshare in April 2026. The dataset contains performance metrics for different synthetic data methods. The data is stored in an Excel file and is 5.5 KB in size.
The Albufera de València in Spain provides the geographic scope for this long-term dataset on its fish community. It compiles species presence-absence records, functional traits, and environmental niche descriptors for fish species from 1865 to 2025. The dataset is structured across three complementary Excel sheets.
A 2.1 MB PDF file containing supplementary material for a study, authored by Jasper Marcum and last updated on April 16, 2026. The material includes detailed derivation, numerical implementation details, and a mesh convergence study. It is licensed under CC-BY-4.0 and hosted on the figshare platform.
Experimental data from a study investigating the effects of psilocybin on social aggression and activity in the mangrove rivulus fish, Kryptolebias marmoratus. The dataset includes measurements of nine distinct behaviors and analytical LC-MS results for psilocybin and psilocin concentrations within the fish. The data was authored by Dayna Forsyth and last updated on 2026-04-25.
University of Washington and Ohio University researchers conducted a collaborative project to study ice fabric and texture evolution. The work involved computer simulations and analysis of existing ice core data to model micro-structure interactions with deformation. No new observational data were collected under the University of Washington's contribution to NSF-OPP0136047.
SynWTS is a high-fidelity synthetic dataset built as a Digital Twin of the Woven Traffic Safety dataset. It was developed by mlcglab for the 2026 AI City Challenge Track 2 to advance Sim2Real research in transportation safety understanding. The dataset provides a geometric match to real-world video for model training and evaluation.