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3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,411 datasets
A replication package for the ISSTA2023 paper on automated testing of Virtual Reality applications. The package likely contains data and scripts supporting a case study on Unity-based VR applications. The author is Dhia Elhaq Rzig, and the license is Open Access (green).
Depth map data for PP and PMMA plastic boards before and after reconstruction using a relay surface. The dataset includes a numerical model of the mediation plane and was contributed by author Yujie Fang on the paperswithcode platform. The dataset is licensed as Open Access (green).
Xuetong Zhao published a dataset on figshare in 2026. The dataset likely contains data related to spatial presence, interactive engagement, and affective transmission in a locative augmented reality experience for Macao's maritime heritage. The dataset is stored as a CSV file and is 187.1 KB in size.
Floor plans, sensor placements, and 3D models for the three NEST units DFAB, UMAR, and SolAce. The dataset was contributed by Philipp Heer and is listed as Open Access (green) on the paperswithcode platform. The specific scale, file formats, and update history are not detailed in the provided metadata.
Jacob M. Paul authored this dataset containing fitted parameters for a visual field mapping neural response model. The parameters are derived from responses of voxels in visual field map regions of interest. The dataset is available via the paperswithcode platform under an Open Access (green) license.
DeepWheel is a multi-modal dataset of generatively designed wheels created by KAIST Smart Design Lab and Narnia Labs. It includes rendered images, predicted depth maps, reconstructed 3D meshes, CAD models, and simulation results. The dataset was last updated on June 10, 2026.
CloudCompare Depth Map color schemes is a collection of color palettes used in ichnology to generate false-color depth maps. The dataset was contributed by author Matteo Belvedere and is available under an Open Access license. The specific size, format, and update history of the dataset are not detailed.
A 12-month follow-up of a randomized controlled trial assessing the long-term effects of Virtual Reality Exposure Therapy (VRET) for 100 adolescents with Public Speaking Anxiety. The dataset likely contains clinical outcome measures for four treatment arms, including VRET-only and online psychoeducation programs. The study was pre-registered at ClinicalTrials.gov (NCT04396392) on February 11, 2020, and the data is shared by author Pia R. Hauge.
TartanRGBT is a hardware-synchronized robotics dataset from Carnegie Mellon University's AirLab AnyThermal project. It contains 5,952 timesteps of co-registered stereo RGB and thermal imagery across indoor, urban, park, and off-road environments. The dataset was published by Voxel51 in May 2026.
A 3D volumetric model of the Cottesloe Syncline district in the northwest Paterson Orogen of Western Australia, constructed using 3D Geomodeller software. The model was built by the Paterson Project team and specialists from Geoscience Australia and is documented in a report published on data_gov_au. The report highlights the model's capability for testing multiple geological working hypotheses.
Peng-Fei Jiang's study on Antarctic krill paste flavor under different processing conditions, published on figshare in 2026. The dataset likely contains results from gas chromatography-ion mobility spectrometry (GC-IMS) analysis, which identified 42 volatile compounds, alongside electronic tongue, electronic nose, and sensory evaluation data. It compares the effects of stir-frying versus steaming, salt concentration, and the addition of aged shrimp paste.
A dataset of 101 samples for wide-angle depth estimation, hosted on Hugging Face by author harpreetsahota. It is designed for use with the FiftyOne computer vision toolkit and was last updated on May 21, 2026.
Urban Monitor data provides vegetation height strata areas for land parcels across multiple Australian years, including 2009, 2014, 2016, and 2018. The dataset calculates canopy coverage percentages and includes land use categories like Street Block, Parks, Roads, and Rural. Statistics are aggregated by mesh block and a concatenated MB_MonitorCategory field.
A synthetic math reasoning dataset generated by DeepSeek-V4-Flash for a lightweight R1-style post-training experiment based on Qwen2.5-1.5B-Instruct. It includes raw teacher-generated reasoning-chain data and SFT training data. The dataset was created by author z2h07 and last updated on 2026-06-12.
Urban Forest Mesh Blocks data quantifies vegetation height strata and canopy coverage for land parcels across Western Australia. The dataset, produced by CSIRO using Landgate aerial imagery, categorizes land use into Street Blocks, Parks, Roads, and other types. It provides aggregated statistics for years including 2009, 2014, 2016, and 2018.
2009 to 2024 data provides vegetation height strata areas (0-3m, 3-8m, 8-15m, 15+m) and grass coverage for land parcels aggregated by mesh block and land use category. The dataset, created by CSIRO using Landgate aerial imagery and DPLH land data, calculates total canopy coverage in square meters and includes a field (MBPercentage) indicating data completeness for temporal comparison.
Urban Forest Mesh Blocks - 2014, published by the Department of Planning, Lands and Heritage, provides calculated vegetation height strata and canopy coverage for land parcels across multiple years. The data includes area measurements for vegetation height categories (0-3m, 3-8m, 8-15m, 15+m) and grass coverage (0-50cm), aggregated by land use categories and mesh block locational data.
Mississippi and Texas soil samples from 2022 to 2025 provide texture and bulk density data for 335 samples collected at 0-5 cm and 5-10 cm depths. Author Yasas Gamagedara measured soil texture using a Mastersizer 3000 laser diffraction instrument and bulk density using the core method. These fundamental physical properties characterize soil structure, porosity, and compaction.
24,490 high-resolution synthetic images render 4,898 real paintings from the MET Open Access collection in a 3D gallery. Each artwork is captured from 5 camera viewpoints at 1024×1024 resolution, paired with source photos and museum metadata. The dataset, created by patryk-bartkowiak, was last updated on June 17, 2026.
67,200 individual defects exported in STL format with dimensional values in millimeters. The database was used for CAD model augmentation in X-ray computed tomography simulations for the publication 'Reliability of CT Digital Twins for Defect Segmentation and Probability of Detection Estimation in AM Parts'. It was authored by Catherine Desrosiers and last updated on June 27, 2026.