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3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,411 datasets
Emergentexture is a large-scale dataset of physics-based rendering (PBR) materials textures generated by scientific models, simulations, and generative code. It contains 40,000 PBR textures produced by 2,000 procedural models from diverse areas of science, art, and mathematics. The dataset was created by FlyingFrog and was last updated on June 16, 2026.
A proof-of-concept study evaluated a novel semi-immersive virtual reality dual-task protocol for identifying lingering postural control deficits in individuals with a remote history of concussion. The dataset, authored by Brent A. Harper and shared on figshare, likely contains measurements of postural sway and gait parameters under cognitive load. Statistical analyses included independent-samples t-tests, MANOVA, and Cohen’s d for significant effects.
62 participants were exposed to virtual nature across three delivery technologies in a randomized crossover trial. The dataset likely contains measures of psychological immersion, presence, and VR-sickness symptoms from a study comparing TV, VR-headset, and virtual nature room conditions. Author Tuomas Kari uploaded the data to figshare, with a last update timestamp of 2026-04-21.
2010-2013 mapping of surface deposits across northern Quebec, an area of approximately 680,000 km2. The inventory was created using RapidEye satellite imagery with 5-meter spatial resolution and validated with ground and air control points. It distinguishes main deposit categories, their nature, thickness, and distribution.
A processed dataset of 3D meshes for training the MeshFlow model, which uses equivariant flow matching for mesh generation. The dataset is hosted by author qsun2001 and was last updated on June 16, 2026. It accompanies a research paper and includes pretrained model checkpoints.
An ontology for domain-independent annotation and description of graphics and their elements, developed by Melissa D. Clarkson. The work builds upon ontological modeling and theories from semiotics, visual arts, technical communication, and computer graphics. It is presented as an illustrated ontology with over 100 explanatory graphics and was last updated on 2026-04-29.
Zooplankton biomass data collected monthly at nine National Reference Stations around the Australian coastline. Sampling uses a drop net designed to sample on descent, with depth varying per station. The dataset is part of the Integrated Marine Observing Systems (IMOS) program and is superseded by a newer collection.
University of Technology Nuremberg collected this grouped video dataset of a multi-view robot manipulation task using the Robot Control Stack ecosystem. Each episode contains synchronized videos from multiple cameras, along with dense robot proprioception and action data on every frame. The dataset was published by Voxel51 and last updated on June 8, 2026.
Trawl catch data collected from deepwater commercial trawl nets and MIDOC fine mesh midwater sampling nets deployed from the catcher vessel FV Adriatic Pearl. The dataset contains species, length, weight, sex, and stage information for marine organisms. It is aggregated by the Australian Ocean Data Network and was last updated on June 16, 2026.
A curated subset of 99 scenes from the GraspClutter6D dataset, hosted as a FiftyOne dataset with 111 samples. It is a large-scale real-world dataset for robust perception and grasping in cluttered scenes, created by Voxel51 and last updated in May 2026.
A synthetic dataset of Dutch license plates generated by compositing cropped plates onto BDD100K driving scene backgrounds. The images include simulations of flash and infrared effects. The dataset was created by Rickkosse using a custom script and was last updated on June 10, 2026.
HUTUBS HRTF Mesh Tokens dataset contains processed tensor tokens representing 3D head meshes and corresponding Head-Related Transfer Functions (HRTFs). It is derived from the HUTUBS HRTF database, which includes data from 96 subjects. The dataset was authored by ChiTheBeast and was last updated on 2026-06-11.
Government of Yukon surficial geological mapping data for the central Kluane Ranges, covering parts of NTS 115G/1, 2, 3, 7 and 115B/15, 16. The dataset describes the distribution and character of surficial materials, permafrost conditions, and mass wasting processes. It was last updated on April 17, 2026.
Northwest Paterson Orogen in Western Australia is the focus of this 3D geological model. The dataset contains a volumetric model of the Cottesloe Syncline district, built using 3D Geomodeller software and exported to Virtual Reality Modelling Language (VRML) for accessibility. It documents the model-building process and its use for testing geological hypotheses.
Tasman Sea biological data was collected during a five-day transit from Nelson, New Zealand to Devonport, Australia in June 2009 aboard the FV Rehua. The dataset likely contains acoustic reflectivity profiles and biological samples of micronekton from depths up to 1000 meters, gathered using a MIDOC net system, a 38 kHz echosounder, and an Acoustic-Optical System. It supports analysis of pelagic community structure and acoustic backscatter across day-night cycles.
TartanRGBT is a FiftyOne dataset containing 5,952 samples. The dataset was created by harpreetsahota and was last updated on HuggingFace in May 2026. The full description is available on the dataset's page.
56,475 synthetic visual scenes for training, plus 3,344 for testing, designed for Zendo-style rule learning. Each scene is labeled as positive or negative based on a logical rule expressed in natural language and Prolog, created by author sophia1ch. The dataset was last updated on June 4, 2026.
A compressed archive contains 3D model files for fabricating optical attachments. The files define four different versions based on sampling field of view and filter sets. The data was contributed by author Brady Hunt and is available under an Open Access license.
3D models related to quantum mechanical simulations, authored by Henry S. Rzepa. The dataset is available under an Open Access (green) license on the paperswithcode platform. Specific details on the number of models, file formats, and update history are not provided in the available metadata.
Point cloud data for 3D object detection, combining semantic and geometric features. The dataset was authored by Hao Peng and is available via the paperswithcode platform under an Open Access license. Specific details on size, format, and update recency are not provided in the available metadata.