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3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,021 datasets
Ministry of Defence of the Russian Federation is a 3D model of a historical building. The model was created by vitik using RealityCapture and Houdini software. The source for the model is listed as Objaverse 1.0 and Sketchfab.
Synthetic_Customer_Data is a dataset published on Kaggle. The raw description indicates it is a synthetic dataset intended for use with clustering models. The dataset's specific size, features, and creation details are not provided in the available metadata.
The United States Geological Survey's 3D Elevation Program (3DEP) provides a tiled collection of bare-earth topographic data covering the conterminous United States, Hawaii, Puerto Rico, other territorial islands, and much of Alaska and Canada. The seamless 1/9th arc-second (approximately 30-meter) resolution DEMs are derived from diverse source data, processed to a common coordinate system (NAD 83) and vertical datum (NAVD 88), with all elevation values in meters. This collection serves as the foundational elevation layer for The National Map and is updated continually as new data become available.
The USGS 3DEP program provides a continually updated collection of 2 arc-second (approximately 60-meter resolution) digital elevation models covering Alaska. These DEMs represent the bare-earth topographic surface and serve as the foundational elevation layer for the National Map. Data are processed to a common coordinate system (NAD 83) and vertical datum (NAVD 88), with elevations in meters.
5,000 synthetic records of UberEats orders, created for portfolio and practice purposes. The dataset is hosted on Kaggle, but the author, organization, and specific creation date are not provided. Its primary purpose is for practicing SQL queries and Tableau visualizations.
A dataset associated with research on the psychological effects of exercise in virtual reality environments. It was published on paperswithcode by author Thomas G. Plante. The specific variables, sample size, and collection methodology require verification after download.
A research dataset likely contains case report data on combat-related PTSD treatment. The data was published by Dennis Patrick Wood on paperswithcode and likely relates to virtual reality graded exposure therapy with physiological monitoring. The dataset's specific size, format, and temporal coverage are unknown.
A collection of 12 chapters analyzing grand strategy between World Wars I and II. The chapters likely contain historical analysis and case studies of major powers. The source is paperswithcode, but the original author and organization are unknown.
ShapeNet Core V2 is a dataset of 3D shapes published on Kaggle. The dataset likely contains a collection of 3D object models, commonly used for computer graphics and vision research. Its specific contents, such as the number of models or categories, require verification after download.
A collection of data from 26 pairs of young adolescent siblings (aged 8–15 years) who participated in a custom-made interactive Virtual Reality experiment and completed questionnaires. It examines the validity of VR for assessing aggressive responses towards a sibling, comparing observed VR aggression with self-, parent-, and sibling-reported measures. The study also analyzes associations with individual, sibling, and family risk factors.
Global synthetic data models insulin resistance and metabolic health across multiple countries. The dataset covers a 20-year period from 2005 to 2024. The author and organization are unknown.
Global synthetic data on conflicts, losses, and climate conditions from 1950 to 2024. The dataset creator and specific volume are unknown. Its last update date is also unspecified.
A synthetic dataset published on Kaggle. The title suggests it contains engineered features, likely for model training or benchmarking. The author, organization, and specific creation details are unknown.
One-meter resolution Digital Elevation Models from the USGS 3D Elevation Program represent the bare-earth surface across the United States. The collection provides foundational elevation data in meters, referenced to NAVD88, and is tiled within the Universal Transverse Mercator coordinate system. USGS produces these DEMs exclusively from high-resolution lidar source data.
Published on Kaggle. The dataset appears to be test output from a model named M-LRM, likely related to the Objaverse collection of 3D objects. Its exact contents, scale, and creation details are unknown.
A synthetic dataset designed for training LLMs to control endovascular robotic navigation actions. The dataset likely contains simulated multi-modal inputs and corresponding control outputs. It was uploaded to Kaggle, but details about its creator, size, and specific contents are unknown.
Textures is a dataset hosted on Kaggle. The dataset likely contains images of various surface textures. Metadata is minimal; the exact content, scale, and origin require verification after download.
MatSynth contains over 4,000 ultra-high resolution Physically Based Rendering (PBR) materials curated by gvecchio and associated with Arxiv paper 2401.06056. Published in 2024, this synthetic dataset provides a large-scale resource for material acquisition and generation tasks in computer graphics, specifically focusing on SVBRDF maps.
Delivering supplemental material for a manuscript submitted to the Journal of Hydraulic Engineering. It contains the description and results of an additional numerical test case used for validating flood extent simulations.
Synthetic data for analyzing service quality and customer satisfaction. The dataset is described as large, but specific row counts and temporal details are not provided. Author, organization, and last update information are unknown.