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3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,412 datasets
20.5 KB of Stata code authored by Johan Azañero-Haro for validating mortality prediction scores. The code calculates four scores and assesses discrimination and calibration metrics in a complete case cohort. It was last updated on May 14, 2026.
TransPhy3D (FiftyOne) is a grouped dataset built from a random subset of the TransPhy3D test split. Each group contains one RGB video sequence plus a merged 3D reconstruction of the same scene. The dataset was created by Voxel51 and was last updated on Hugging Face in May 2026.
JumpForge-3K is a synthetic dataset built by jumplander for training and evaluating agentic coding systems. It focuses on realistic software engineering workflows, including repository understanding, debugging, and test-driven development. The dataset was last updated on June 15, 2026.
A synthetic dataset of 25,000 three-turn conversational examples designed to emulate Nikola Tesla's mindset. The examples are structured as system prompts, user instructions, and assistant responses written in Tesla's voice. It was created by author GODsStrongestSoldier and last updated on Hugging Face in May 2026.
Derived evidence layer for the public Xperience-10M sample episode includes metrics, predictions, manifests, charts, diagrams, notes, reproduction scripts, and small neural MLP task-head artifacts. The dataset was created by author cy0307 and last updated on June 1, 2026. Dashboard assets follow a specific visual system with a dark 4D-world canvas, lime-green accents, and point-cloud texture.
OpenLogo is a FiftyOne dataset containing 27,083 samples of logo images. It was created by Voxel51 and was last updated on HuggingFace in May 2026. The dataset is intended for computer vision tasks related to logo identification.
25,000 unique synthetic training examples designed to fine-tune large language models. The dataset was created by author '11-47' and was last updated on Hugging Face in 2026. Each example is a three-turn conversation crafted to emulate Nikola Tesla's voice, scientific precision, and visionary thinking.
18,000 evaluation samples across six benchmark families derived from DeepCAD, Fusion 360, ABC, MCB, and Objaverse. CADBench is a unified multimodal benchmark for AI-assisted CAD program generation, introduced by DeCoDELab. The dataset was last updated on June 10, 2026.
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.
PartScan is a large-scale, scene-level dataset for 3D part segmentation produced by the PinPoint3D synthesis pipeline. The dataset, created by Voxel51, addresses the bottleneck of acquiring dense, part-level 3D annotations by generating sparse, real-world-style scans with dense part labels. The dataset page was last updated on June 8, 2026.