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3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,020 datasets
NASA 3D Models: Space Shuttle Orbiter is a 3D model file published by the National Aeronautics and Space Administration on datagov. The model contains 11,582 polygons and 8,040 vertices. The dataset was last updated on March 13, 2026.
17,477 instruction-response pairs were compiled from Unity documentation, Stack Overflow, and GitHub for training AI models. The dataset contains 16,604 training and 873 test examples, created by vishnuOI and last updated in April 2026. It covers topics like C# scripting, XR/VR development, physics, and performance optimization.
TerraMesh is a planetary-scale, multimodal dataset for Earth-Observation foundation models. It merges data from Sentinel-1 SAR, Sentinel-2 optical, Copernicus DEM, NDVI, and land-cover sources into more than 9 million co-registered patches. The dataset was created by ibm-esa-geospatial and was last updated on March 24, -2026.
Over 80 physical objects are represented by mesh models, RGB, RGB-D, and point cloud images. The dataset was created by Yale University, Carnegie Mellon University, and UC Berkeley using two scanning systems: UC Berkeley's rig and the Google scanner. It includes high-resolution images and meshes at multiple polygon resolutions for each object.
.STEP 3D model files for cable passthrough components, authored by James Lee. The dataset was last updated on May 9, 2026, and is hosted on the Borealis Harvested Dataverse platform.
James Lee published a collection of 3D .STL files for the 2.0 version of a slider on the Borealis Harvested Dataverse platform. The dataset was last updated on May 9, 2026. The specific number of files, their size, and detailed content are unknown.
Dexora Objaverse is a dataset hosted on HuggingFace by the author li48. The dataset's title suggests it likely contains a collection of 3D object assets, potentially for use in computer graphics or simulation environments. It was last updated on May 18, 2026, but specific details on size, format, and content are not provided in the available metadata.
Airborne LiDAR point clouds from various acquisition projects across Canada, created to support the National Elevation Data Strategy. The data is distributed in the Cloud Optimized Point Cloud (COPC) format, allowing for both local download and web-based visualization. All data uses the NAD83(CSRS) reference system and orthometric elevations referenced to the Canadian Geodetic Vertical Datum of 2013.
Mars terrain data from the Mars Exploration Rover 2 (MER 2) navigation camera, processed into a mesh format. The dataset is published by the National Aeronautics and Space Administration (NASA) and was last updated on 2026-03-05. Its specific row count and file formats are unknown.
PanoX is a large-scale synthetic panorama dataset constructed to advance 2D lifting techniques for generating graphics-ready 3D scenes. It features high-quality multimodal panoramas from diverse indoor environments, supporting physically based rendering, relighting, and simulation. The dataset was created by KevinHuang for the paper "OmniX: From Unified Panoramic Generation and Perception to Graphics-Ready 3D Scenes" and was last updated in March 2026.
Experimental data supporting a study on p-wave orbital angular momentum texture in a chiral crystal. The dataset was authored by Dongjin Oh and is hosted on the Harvard Dataverse platform. It was last updated on May 12, 2026.
MeSH Publication Types are a controlled vocabulary of publication genres and characteristics used to tag items in MEDLINE/PubMed. The dataset includes Publication Type Heading and Year columns, indicating when each type was introduced. It is maintained by the National Library of Medicine and was last updated in 2023.
500 synthetic video samples with dense per-frame, per-material pixel-level segmentation annotations, introduced alongside the SAMa research paper. The dataset, created by Voxel51, is split into 450 training and 50 test samples for fine-tuning video object-selection models. It was last updated on March 17, 2026.
Gabriel Osei Forkuo's scoping review maps 200 primary sources from 2015 to 2024, analyzing the intersection of artificial intelligence and forest carbon systems. It focuses on European frameworks and is structured across six thematic pillars, including engineering methodologies and digital twins. The dataset provides a synthesized overview of research trends and deployment gaps in this domain.
MENG, WEI provides a synthetic dataset supporting the Structured Variable-Relationship Modelling framework. It includes variable-level data, node and edge tables for graph construction, and a ground-truth causal graph for evaluation. The dataset is designed for research in causal AI, explainable AI, and topological analysis.
A 1500-year record of coastal sediment accumulation from Keppel Bay, Queensland, Australia, examines ridge morphology, sediment texture, and geochemistry. The study builds a detailed chronology using optically stimulated luminescence dating, suggesting changes in shoreline accumulation rates and sediment sources.
The Camera Clone Dataset is a large-scale synthetic dataset introduced in the CamCloneMaster project for camera clone learning. It encompasses diverse scenes, subjects, and camera movements. The dataset was created by KlingTeam and was last updated on Hugging Face in March 2026.
The Merl Shopping Dataset consists of 41 video samples curated by Voxel51 for retail-focused computer vision tasks. Updated in March 2026, the collection is specifically formatted for integration with the FiftyOne library to facilitate video analysis in shopping environments.
Retail Gaze contains 42 video samples of gaze-tracking data in retail environments, produced by Voxel51 and updated in March 2026. The dataset is specifically formatted for integration with the FiftyOne computer vision toolset for visualization and analysis.
U.S. Department of Health & Human Services provides a list of attending and rendering physicians for the Fiscal Intermediary Shared System (FISS). The dataset supports Medicare claims processing by identifying physicians for combined facility and professional claims. It was last updated on 2026-03 25.