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3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,411 datasets
Victoria, Australia, public land is covered by model-based predictions of average deer abundance per square kilometer. The raster data contains four layers for Sambar, Fallow, Red, and Hog deer, derived from camera-trap and sign surveys at 317 sites conducted between 2021 and 2023. The dataset is provided by the Department of Energy, Environment and Climate Action, with a technical report available from the Arthur Rylah Institute.
468 real-world scenes of painting and street-art illusions form a benchmark for probing 3D hallucinations in monocular depth models. The dataset backs the ECCV 2026 paper 'The 3D Mirage: Probing and Taming 3D Hallucinations' and is authored by 3dmirage. It was last updated on July 4, 2026.
Synthetic daily gold-linked lending data tracks how price movement, jewelry exposure, loan volume, and repayment behavior move together over time. This build contains 37 rows under the high gold price cycle scenario, created by gene fur and released on 2026-04-15. The dataset models activity for King Gold & Pawn, a multi-location pawn lender operating in New York.
FreeTacMan (FiftyOne) is a grouped video dataset built from the OpenDriveLab/FreeTacMan visuo-tactile manipulation dataset. Each group is a single demonstration trajectory, with one video per camera/sensor view and the full tool-center-point and gripper trajectory stored as per-frame fields. The dataset was uploaded by Voxel51 and was last updated on July 13, 2026.
A digital 3D model of buildings for some Montreal boroughs, created in 2020. The dataset is provided by the Government and Municipalities of Québec in multiple formats, including textured CityGML and 3DM files. It was last updated on the platform in May 2026.
A dataset from Columbia University researcher Jacob Fish, published on paperswithcode, concerning the lifecycle of composite parts. It likely contains data related to manufacturing processes and performance metrics for digital twin applications. The specific volume, format, and temporal coverage of the data are not detailed in the available metadata.
OmniLife360 is a benchmark for 3D reconstruction from in-the-wild 360-degree captures, containing 2,407 panoramic sequences totaling about 66 hours. The dataset, created by AutoLab-SJTU, includes 1,937 training and 470 testing sequences across 64 scene categories and 31 action classes. It provides source links, benchmark metadata, COLMAP/SfM reconstruction results, and helper scripts for frame preparation and panorama SfM reproduction.
A dataset containing parameters for analyzing the strength reliability of spur gear pairs with tip relief modifications. It was created by Hongbing Wang and last updated on May 14, 2026. The data likely includes variables such as modification length, modification height, and applied load.
Standard gear parameters from figshare support a model analyzing the impact of tip relief on gear strength reliability. The dataset is provided in an XLS file sized 5.5 KB and was last updated on May 14, 2026. Author Hongbing Wang established a reliability model assuming normal distributions for stress and strength.
OmniLife360 is a benchmark for 3D reconstruction from in-the-wild 360-degree captures. It contains 2,407 panoramic sequences totaling about 66 hours, with 1,937 training and 470 testing sequences. The dataset was created by Sg11100 and last updated on 2026-06-26.
A 1.3 KB CSV dataset authored by Alex Elwood, last updated on May 25, 2026. It likely contains performance data comparing a new Asynchronous Many-Task algorithm for unstructured SN transport solvers against an existing shared memory parallelization method across various compute hardware.
Stefan Donath's research dataset contains MRI-derived volumetric measurements of ischemic stroke lesions in a rodent model. The data likely includes total and regional lesion volumes calculated from T2-weighted images after 60 minutes of middle cerebral artery occlusion, analyzed at 24-hour and 72-hour time points using Analyze 5.0 and ImageJ software. The dataset was sourced from the paperswithcode platform and is available under an Open Access (green) license.
Porosity in mixed mortars is linked to the presence of lime, which increases water demand and leads to free water that evaporates. The dataset likely contains results from applying a volume calculation method to estimate porosity based on mortar constituents. This work by Valdecir Ângelo Quarcioni suggests the method is adequate for predicting rendering behavior but requires further research.
Anil Perera developed a new goodness of fit test for multilevel binary data, addressing a gap for clustered categorical data. The paper's properties were assessed through simulation studies evaluating Type I error and power. The dataset likely contains results from these simulation studies.
Abaqus CAE Simulia 2019 project files for finite element analysis of four 3D models of the venom fang from the snake species Fordonia leucobalia. The dataset is associated with a 2021 paper published in Proceedings of the Royal Society B by Alessandro Palci. It includes an original model and three modified versions with specific anatomical features removed.
Experimental data from the 2020 IEEE MMSP paper 'Improved Deep Point Cloud Geometry Compression' by Maurice Quach et al. The data includes all trained models, bitrates, and objective metric values (D1/D2) for multiple models and point clouds. Compressed and decompressed point clouds for models c1 to c6, G-PCC trisoup, and G-PCC octree are also provided.
A synthetic dataset of 3,000 page-level images and annotations for three US forms: IRS Form 1040, CMS-1500, and USCIS Form I-9. Created by Symage, the dataset includes FUNSD ground truth and LayoutLMv3-ready annotations. The forms are filled with consistent synthetic identity information across all three document types.
Thirty-three Czech and Slovak cognitive-behavioral therapy psychotherapists completed an anonymous online questionnaire in a convergent mixed-methods study. The data includes Likert-type ratings and open-ended responses exploring attitudes, perceived benefits, barriers, and desired functional and training requirements for VR use. The dataset was authored by Kristína Kvapil Varšová and last updated on 2026-05-07.
A survey dataset from a convergent mixed-methods study exploring attitudes toward virtual reality (VR) among cognitive-behavioral therapy (CBT) psychotherapists. Thirty-three therapists from the Czech Republic and Slovakia completed an anonymous online questionnaire combining Likert-type ratings and open-ended questions. The data was authored by Kristína Kvapil Varšová and last updated on 2026-05-07.
Thirty-three therapists from the Czech Republic and Slovakia completed an anonymous online questionnaire exploring attitudes toward VR in cognitive-behavioral therapy. The study reports positive overall attitudes (M=4.09, SD=0.72), moderate perceived colleague acceptance (M=3.39, SD=0.80), and identifies financial cost as the dominant barrier (60.6%). The dataset was authored by Kristína Kvapil Varšová and last updated on 2026-05-07.