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3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,020 datasets
Keppel Bay, on the central coast of Queensland, Australia, is the location for this study of beach-ridge morphology, sediment texture, and geochemistry. The dataset builds a detailed chronology for the ridge succession using optically stimulated luminescence (OSL) dating. The data, published by Geoscience Australia, suggests changes in shoreline accumulation rates, sediment sources, and minor relative sea-level falls.
A hand-painted, stylized fantasy game-asset pack built by notjustchairs.ai. The collection includes props and creatures, each reskinned across four elemental kingdoms, providing variety within a cohesive style. Each object is a textured 3D mesh accompanied by its source image, matte, QC report, a natural-language caption, and structured metadata.
A model database for Controlled-Source Electromagnetic (CSEM) models used in the article “3D CSEM Data-Space Inversion Using a Nested Tetrahedral Mesh”. The 175.6 MB resource was authored by Jingtao Xie and last updated on 2026-05-27. It is shared under a CC-BY-4.0 license on the figshare platform.
FV Rehua collected biological and acoustic data during a five-day transit from New Zealand to Tasmania in June 2009. The dataset likely contains micronekton samples from a MIDOC net system, acoustic reflectivity logs from a 38 kHz echosounder, and concurrent optical-acoustic measurements from an Acoustic-Optical System. The voyage was chartered by CSIRO Marine and Atmospheric Research.
Geoscience Australia provides sediment properties for over 15,000 seabed samples from the Australian marine region. Analytical data includes textural composition, particle size statistics, and calcium carbonate values, alongside sample depth and location. The dataset spans coast, shelf, slope, and deep ocean locations within the extent of the AusBathyTopo 250m 2023 grid.
Raw point cloud data from repeat terrestrial laser scans captures rippled surfaces on barchan and dome dunes in Namibia's Skeleton Coast National Park. The dataset includes concurrent measurements of wind speed via sonic and cup anemometers and sediment transport via gate sensors. It was collected by the British Geological Survey across three field campaigns in 2014, 2016, and 2018.
13.2 MB of code and synthetic data supporting a study on quantum entanglement in geospatial science. The repository includes Python scripts, text files, and compressed archives, published under a CC-BY-4.0 license by an anonymous contributor on figshare. It was last updated on May 3, 2026.
Mehdi Ghiai authored a review document analyzing 35 studies on Virtual Reality (VR) applications for indoor environmental quality (IEQ) research, focusing on interior lighting. The document, last updated on 2026-04-14, synthesizes findings from a structured search of Scopus, Web of Science, ScienceDirect, and Google Scholar covering the period 2010–2025. It examines how VR facilitates replicable manipulation of environmental parameters like illuminance and correlated color temperature to study occupant effectiveness, productivity, and behavioral responses.
High-resolution micromagnetic simulation results for metallic iron and iron-nickel alloys at room temperature. The dataset systematically explores grain sizes from 3 to 300 nm and axial ratios from 1 to 5, authored by Yuqin Wang and last updated on 2026-04-25. It includes files for magnetic domain states, hysteresis parameters, and relaxation-time data derived from Nudged Elastic Band calculations.
NVIDIA Corporation created the Spark Anomalygen Usd dataset on May 30, 2026. It contains USD (Universal Scene Description) files for a full PCBA (Printed Circuit Board Assembly) scene, including an authored AOI (Automated Optical Inspection) ring-light rig and camera. The USD files are derived from underlying CAD designs and are intended for synthetic data generation rendering.
A 5.5 KB Excel file compares reported dimensions of the Y. yukonensis fossil with those of a reconstructed 3D model. The dataset, created by Zaid A. Qureshi and last updated in May 2026, includes measurements for pores, tumuli, and spine distances, with variations noted due to modeling constraints. Values marked with an asterisk correspond specifically to a wide-angled model version.
Daniel Ströter provides a set of 50 CAD meshes of varying complexity, including rounded and sharp features at different scales. This data set is intended for evaluating the accuracy, speed, and robustness of reverse engineering methods. It was last updated on May 15, 2026.
Per-sample Percent Spliced-In (PSI) matrix for Liver Sinusoidal Endothelial Cells (LSECs) from the GSE289173 study. The dataset contains 75,924 rows and 4 columns, generated by author depinwang using SHIBA v0.8.2 on pseudobulk data from 48 samples. It compares 28 samples from patients with Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) against 20 control samples.
Min Jae Lee's research data, uploaded to figshare in April 2026, examines the topological resilience of brain networks. The dataset likely contains graph-theoretical measures of EEG-based functional connectivity across six frequency bands, derived from participants experiencing negative, neutral, and positive emotional states induced by virtual reality. Resilience was assessed by simulating targeted attacks and random failures on the networks.
A randomized controlled trial in China compared immersive virtual reality-assisted versus conventional anatomy training for 90 novice non-anesthesiology residents. The study measured endotracheal intubation performance on a simulator, knowledge scores, and participant evaluations. The dataset, authored by Xu-Feng Zhang, was last updated in April 2026.
Zooplankton biomass and community composition data are collected monthly at nine reference stations around the Australian coastline. The dataset is produced by the Integrated Marine Observing System (IMOS) National Mooring Network, with sampling conducted regularly since at least 2002 for some stations. Data storage and access are designed to be interoperable with other national and international oceanographic programs.
IMOS National Reference Station (NRS) - Zooplankton Biomass contains analyzed samples from a long-term marine monitoring program. The Australian Ocean Data Network manages data from nine coastal stations sampled monthly, with some locations sampled every three months, using standardized drop nets. Analyses include community composition, dry weight biomass, and size spectrum measurements for zooplankton.
Eight 3D reconstructions of mussel bed transects captured by GoPro cameras at two sites in New Zealand. The dataset includes textured model files (.PLY) with properties denoting manually segmented mussel mesh nodes and geodesic distances from mussel groupings. It was created by Mihailo Azhar and colleagues, with details published in a related scientific paper.
A high-density 3D point cloud of the Kerr Hall building at Toronto Metropolitan University, captured at 162 points per square meter. The data was collected on May 7, 2026, using a DJI M300 RTK vehicle equipped with a Zenmuse L1 sensor flying at 70 meters altitude. It is an unclassified but colourized point cloud provided in LAZ format, projected in the NAD 1983 CSRS UTM Zone 17N coordinate system.
87 one-hour stereo-Baited Remote Underwater Video (BRUV) samples were collected off the northwest coast of St. Lucia in February 2019. The survey, conducted by Cefas under the Commonwealth Marine Economies Programme, recorded demersal fish communities to a maximum depth of approximately 50 meters. Each station also recorded light and temperature data using a HOBO logger.