Loading...
Loading...
3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,034 datasets
Aggregating experimental data from a study investigating the effect of ambient odor on affective appraisal of a desktop virtual environment with signs of public disorder. The study involved participants exploring a virtual suburban neighborhood while exposed to pleasant, unpleasant, or no ambient odor, reporting safety concerns and affective feelings. The dataset is associated with research published in 2020 by Alexander Toet.
Featuring experimental data from a study examining depth perception in images of real scenes. The study manipulated pictorial depth cues, simulated dioptric blur, and binocular disparity, using light field photographs captured with a Lytro plenoptic camera capable of capturing images at up to 12 focal planes. Observers performed 2AFC tasks to indicate which of two patches extracted from these images was farther.
Aggregating functional magnetic resonance imaging (fMRI) data from choral singers scanned while producing four discrete pitch levels across their vocal range. The research investigates the biological implementation of laryngeal control rules in the human larynx motor cortex. The dataset was authored by Michel Belyk and last updated in June 2020.
3D Blender models and limb articulation data for extinct trigonotarbid arachnids, specifically the Devonian genus Palaeocharinus. The data is based on exceptionally preserved fossils from the Rhynie Cherts of Scotland and is used to reconstruct walking gaits and functional morphology.
Olympusmonsgames processed the unreal-engine-5-code dataset on February 14, 2025, splitting its content into smaller chunks. The dataset is organized into two branches: one chunked by engine module and another chunked by module and header names with a token limit of 8000. This structure is designed specifically for retrieval-augmented generation systems.
Gaussian Splats representations of different real-world scenes were created using the official 3D Gaussian Splatting method. Each scene folder contains a reference image and a PLY file. The dataset was uploaded by Voxel51 on February 7, 2025.
A collection of HDR images rendered from Unreal Engine 5.4.4. The images depict marketplace items from the Unreal FAB marketplace that had 'Allows usage with AI' set to Yes at the time of acquisition. The dataset was created by author zlicastro and last updated on 2024-10-25.
Featuring synthetic RGBD video sequences of articulated objects derived from the PartNet-Mobility collection. It provides simulation data organized within a sim_data directory to facilitate the creation of interactable digital twins from casual video captures.
Tiny Codes is a synthetic dataset containing 1.6 million short code snippets designed to help large language models reason with natural and programming languages. It covers a wide range of languages including Python, JavaScript, Rust, C++, SQL, and Cypher, created by nampdn-ai and last updated in September 2023.
51,300 unique 3D models across 55 common object categories are provided in the GLB file format. Each model is semantically linked to a WordNet 3.0 synset for hierarchical classification. The collection is a subset of the larger ShapeNet repository and adheres to specific research redistribution terms.
Ninety-five 3D character models in T-pose with bones and texture, sourced from Mixamo. The dataset includes upgraded FBX versions for 51 characters and refined triangle meshes for all 95, processed by the author jasongzy. It was uploaded to Hugging Face and last updated on March 5, 2025.
Aria Digital Twin provides raw and synthesized sensor data from Project Aria glasses. The dataset includes groundtruth data generated using a motion capture system, with elements like depth images, device trajectories, object trajectories and bounding boxes, and human tracking. It is authored by projectaria and was last updated on 2024-09-17.
ShapeSplats provides a collection of 2D image, depth, and normal map renders derived from the ShapeNet 3D object repository. The dataset includes per-view camera parameters stored in a structured JSON format for each object. It was last updated on September 1, 2025.
Estimated shallow-water depth maps were produced for nine locations in the Northwestern Hawaiian Islands using rule-based, semi-automated analysis of high-resolution IKONOS satellite imagery. The project was a cooperative effort by NOAA, the State of Hawaii Department of Land and Natural Resources, and the U.S. Fish and Wildlife Service. Data was produced in support of the U.S. Coral Reef Task Force and was last updated in 2002.
A time series from 2016 to 2022 contains snow depth maps and digital elevation models for Grand Mesa and Banded Peak Ranch, Colorado. The maps are derived from very-high-resolution satellite stereo images and lidar point cloud data, with two maps coinciding with the 2017 NASA SnowEx field campaign. The dataset is provided by NSIDC_CPRD.
Delft3D Flexible Mesh hydrodynamic model setup and results for the Atchafalaya and Terrebonne basins in coastal Louisiana. The dataset contains separate 31-day simulations for spring and fall seasons, calibrated and validated using airborne remote sensing and in situ measurements. It was produced by ORNL_CLOUD and published in September 2021.
An experimental campaign measured rockfall dynamics on a forested slope in Schiers, Switzerland, comparing areas with and without deadwood. The dataset includes trajectories for natural rocks (30-85 kg) and artificial concrete rocks (45-3200 kg), alongside LiDAR point clouds, orthophotos, and video footage. Data was contributed by ENVIDAT and last updated in 2022.
A 2024 dataset contains multi-view video sequences rendered from 53,000 animated 3D objects. Created by yanqinJiang, it was used to train the Animate3D model for animating 3D assets with video diffusion. For each object, 16 views are rendered with randomized camera elevation and azimuth offsets.
7,010 MP4 video files, including 6,000 deepfakes and 1,000 real videos, were downloaded using original scripts. The dataset was uploaded by user 'bitmind' to Hugging Face and last updated on October 29, 2025. It contains deepfakes generated by six different methods: DeepFakeDetection, Deepfakes, Face2Face, FaceShifter, FaceSwap, and NeuralTextures.
A development plan for the Hammeshiebel area in the municipality of Hungenroth. The dataset is provided as a WMS service by the German Federal Agency for Cartography and Geodesy (BKG). It was last updated on December 11, 2024.