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3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,417 datasets
A large-scale dataset of physically plausible dexterous grasping motion sequences over Objaverse objects. It contains generated grasping motions for different hand models, together with processed object meshes used by the recorded sequences. The dataset was created by ethHuiZhang and was last updated on 2026-05 06.
Curtis Huffman provides replication code and a synthetic dataset, last updated on April 20, 2026. The 2.1 MB resource includes R and RDATA files. The synthetic data is described as a version of confidential individual-level data from the Alzheimer's Disease Neuroimaging Initiative (ADNI).
A synthetic dataset designed to mimic real-world messy e-commerce sales data. The dataset is intended for practicing data cleaning and preprocessing techniques. It was created by an unknown author and is hosted on Kaggle.
650 million hectares of Canada's forested ecosystems are mapped for total aboveground biomass at a 30-meter spatial resolution. This dataset, produced by Natural Resources Canada, combines lidar plot data with Landsat pixel composites using a Random Forests-based imputation approach for the period 1985–2011. The products are intended for strategic-level forest monitoring and are based on peer-reviewed science, with detailed methods described in Matasci et al. (2018).
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.
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.
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.
Chinese texture paintings annotated for texture, brushstroke, composition, and aesthetic quality. The dataset is hosted on Kaggle, but details on the creator, size, and specific collection date are unknown. Its primary content appears to be images of paintings with associated quality and style annotations.
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.
A synthetic digital twin dataset for modeling sustainable cloud infrastructure and AI workload optimization. The dataset was sourced from Kaggle, but specific details on its creator, size, and last update are not provided. Its structure likely contains parameters for simulating energy and resource usage in large-scale computing environments.
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.