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3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,418 datasets
STEP files contain the 3D geometry of slider components from the 1.0 iteration. James Lee authored this collection for the Borealis Harvested Dataverse. The dataset was last updated on May 9, 2026.
Files related to the development of a clip system that attaches to the viewport on the high-risk zone. The dataset was authored by James Lee and hosted by Borealis Harvested Dataverse. It was last updated on May 9, 2026.
A collection of 3D model data published on Kaggle. The dataset's specific content, scale, and origin are not detailed in the available metadata. Further verification after download is required to confirm its exact composition and potential applications.
AmesHousing is a dataset published on Kaggle. The dataset likely contains information on residential properties, such as sale prices and structural features, which are common in housing data. Its specific content, size, and origin require verification after download.
An artificially generated dataset for classification tasks related to student dropout. The dataset was created for machine learning practice and is hosted on Kaggle. Specific details regarding its size, creation date, and authorship are not provided in the available metadata.
Aggregating material properties and mesh size specifications for components of a biomechanical system model, as referenced in a related research article. The data is provided in an XLS file with a size of 5.5 KB. It was authored by Khaled Alsharif and is licensed under CC BY 4.0.
Research abstracts analyze the poly-metamorphic terrain and structural evolution of the East Antarctic mobile belt in the Prydz Bay area. The data originates from the Australian Antarctic Data Centre and was last updated in March 1994. It compiles findings on deformation phases, metamorphic conditions, and kinematic interpretations from geological studies.
NVIDIA's FFS Stereo4D contains approximately 1.3 million disparity maps generated from the Stereo4D dataset using the FoundationStereo model. These 784×784 PNG images provide per-pixel disparity values for stereo matching and depth estimation tasks. The collection is organized into 26 zip files, each containing 50,000 frames with associated metadata.
A Data Management and Sharing Plan outlines the scientific data for a research project on immersive virtual reality surgical training. The plan describes data to be generated and used for simulating Lamellar Corneal Transplantation procedures like DALK, DSAEK, and DMEK. Authored by Mohammad Soleimani, the plan was last updated on May 11, 2026.
AmesHousing_engineered_Harold is a dataset derived from the Ames, Iowa housing market, likely containing engineered features for machine learning. The dataset is hosted on Kaggle, but its specific size, columns, and creation details are not provided in the available metadata. Its content and structure require verification after download.
Pengyu Li's dataset contains 400 individual strawberry fruit 3D point clouds. It supports computer vision tasks like single-view shape completion, shape classification, and weight estimation. The dataset was last updated in March 2026.
SpaceSense-Bench is a high-fidelity simulation-based dataset for spacecraft component-level semantic understanding. It contains 136 satellite models sourced from NASA and ESA 3D models, with synchronized multi-modal data including RGB, Depth, and LiDAR point clouds. The dataset was created by Alvin16 and last updated on Hugging Face in April 2026.
SpatialEdit-500K is a synthetic training dataset containing 500,000 entries for fine-grained image spatial editing. It was created by EasonXiao-888 using a controllable rendering pipeline to generate structured spatial transformations and was last updated in April 2026.
A 3D volumetric geological model constructed for the Cottesloe Syncline district in the northwest Paterson Orogen, Western Australia. The model was built using 3D Geomodeller software by Geoscience Australia specialists to test geological hypotheses. Outputs include two-dimensional sections, maps, and images exported in VRML format for accessibility.
Renderings depict an archaeological excavation site, likely for visualization and analysis. The dataset is hosted on a research data repository and appears to be a collection of digital images or visual models. Its repeated presence suggests it is a core visual resource for a specific archaeological project.
Kaggle hosts a dataset titled 'Image to 3d Model'. The dataset likely contains images paired with corresponding 3D model data, intended for training or evaluating reconstruction algorithms. Its author, size, and specific contents are not detailed in the available metadata.
A synthetic dataset designed for car sales analysis, dashboarding, and business intelligence applications. The dataset is hosted on Kaggle and is intended for analytical modeling and visualization tasks. Its specific size, temporal coverage, and authorship details are not provided.
80 megabytes of statistical bathymetry data summarize sea depth across a 1-kilometer grid. The dataset contains mean depth, shallowest depth, standard deviation, and sample counts derived from multiple hydrographic surveys. It covers the Northwest Pacific Ocean from 0°N to 48°N latitude and 120°E to 180°E longitude.
Featuring wood block decomposition assessments from the Tumbarumba Wet Eucalypt site, part of a global program studying microbial and invertebrate influences on wood decay. The data follows a common protocol using untreated Pinus radiata wood blocks, with experimental treatments to exclude or include macroinvertebrates like termites. Row and column counts are unknown.
Wood block decomposition assessment data from the Great Western Woodlands site in 2018. It is part of a global program investigating the influence of microbes and invertebrates, specifically termites and fungi, on wood decay. The study used a common protocol with untreated Pinus radiata wood blocks exposed under different mesh conditions.