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3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,411 datasets
E. Jane Homan authored a 349.7 KB PDF document summarizing research on inflammation and cathepsin B in KRas-associated tumors. The work reviews literature and presents a schematic on how cathepsin B cleavage may destroy mutant KRas neoepitopes, contributing to immune evasion. The dataset was last updated on May 7, 2026.
New York pawn lender King Gold & Pawn provides a synthetic dataset linking daily gold price movements to pawn loan volume and average ticket size. The dataset contains 731 rows of daily observations generated under a high gold price cycle scenario, with a realism score of 1.0. It was created by gene fur and published on 2026-04-10.
SceneFun3D is a 3D scene-understanding dataset of high-resolution Faro laser-scan point clouds of indoor environments. The dataset is densely annotated with fine-grained functional interactive elements, their affordances, motion parameters, and free-form task descriptions. Each scene is also captured by several iPad video sequences with RGB, depth, camera poses, and intrinsics.
Nine stations around the Australian coastline provide monthly zooplankton biomass samples, with three samples taken each month. The Integrated Marine Observing System (IMOS) program collects this data, which includes community composition, dry weight biomass, and size spectrum analysis. Data storage is planned to be interoperable with other national and international programs through the IMOS infrastructure.
Hongbing Wang published a dataset on figshare in May 2026. It contains simulation results for modeling the strength reliability of gears with tip relief modifications. The data likely includes parameters such as modification length, modification height, and applied load, and their effects on contact and bending strength reliability.
A Python-based methodology characterizes residence time distribution (RTD) in flow reactors using a skew-normal model. The workflow integrates automated data analysis and was validated on three reactor types: coiled tubular, dynamically stirred tubular, and Corning AFR LF. Jean-Philippe Krieger published this 463.8 KB dataset on figshare in May 2026.
A synthetic dataset and Python code implementing the BO-RF-NSGA-SHAP framework for sustainable product design. The repository was created by Xinan Liang and last updated on May 31, 2026. The dataset is 252.9 KB in size and is shared under a CC-BY-4.0 license.
Geoscience Australia collates sediment properties for over 15,000 seabed samples from its Marine Sediment Database. The dataset includes textural composition, particle size statistics, calcium carbonate values, water depth, and location across the Australian marine region. It spans the coast, continental shelf, slope, and deep ocean locations.
Experimental data likely investigating the disentanglement of magnetic texture and spin-orbit coupling contributions to spin triplet superconductivity in ferromagnet-superconductor-ferromagnet spin valves. The dataset was authored by Pablo Tuero and harvested via the e-cienciaDatos Dataverse platform. It was last updated on July 19, 2026.
EKE datasets calculated from FESOM model output on the SO3 mesh and interpolated to a regular grid. The data processing is described in a Zenodo record (https://doi.org/10.5281/zenodo.8046783). Author Nathan Beech from the Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung contributed this dataset.
Facebook provides 3,033 question-answer annotations over 57 Aria Digital Twin sequences for evaluating quantitative 3D spatial reasoning from natural egocentric RGB-D video. This is an evaluation-only benchmark with no training split; all data is designated for testing. The underlying Aria video data must be downloaded separately.
A Lebanese case study evaluates Augmented Reality (AR) workflows for installing high-performance materials in a mid-rise residential building. The research, authored by Claudia Mattar and last updated in April 2026, compares conventional and AR-assisted processes using site observations and project records. It quantitatively assesses key performance indicators like installation accuracy, material waste, rework, and cost efficiency.
Geoscience Australia produced free, Web-viewable 3D models integrating multiple coastal data types. The models use the open-source ISO standard Virtual Reality Modelling Language (VRML) format. A specific model covers the Keppel Bay and Fitzroy River area in Queensland, Australia.
1,153 soil pits across the Amazon basin were described and sampled by horizon for texture and chemical composition. The data provides detailed soil profile descriptions based on the extensive RADAMBRASIL project surveys. It is stored in an ASCII comma separated format and includes companion documentation.
FR Legends Zone maintains this repository for structured community datasets related to the FR Legends game. Planned content includes a vehicle database, engine swap reference, update history, tuning guides, and community documentation. The repository was last updated on 2026-07-16.
A 178.5 MB synthetic dataset released in May 2026 by Xiaolong Xie for multi-city traffic analysis. It includes 15 generated city cases and an application case for Shanghai Jiading, providing TAZ-level matrices, zonal records, and route files. The data is intended for origin-destination estimation, route assignment, and reproducible traffic simulation.
Multi-year airborne and satellite survey campaigns collected snow depth and snow water equivalent data for mountainous regions in the Western U.S., including Grand Mesa, Colorado. The data set includes 3-meter and 50-meter gridded snow depths from lidar, 50-meter snow water equivalent, and fractional snow-covered area maps from WorldView imagery. Data were collected by NASA/JPL's Airborne Snow Observatory and other satellite platforms, with some measurements coinciding with the 2017 NASA SnowEx field campaign.
A synthetically generated instruction-following dataset focused on the history, culture, geographic background, and exile of the Ahiska (Meskhetian) Turks. Created by the AhiskaAI research lab, this dataset is designed to preserve cultural heritage through deep learning pipelines. The dataset page was last updated on 2026-06-25.
A 9.6 MB DOCX file containing supplementary data for a study on virtual reality-based cognitive inhibition training. The research, authored by Hyeong Ha Kim and last updated in May 2026, examined the effects of no-go training and transcranial magnetic stimulation on implicit attitudes, craving, and food-choice behaviors in healthy women with high trait food cravings. The dataset is shared under a CC-BY-4.0 license on the figshare platform.
Pairs of technical prompts and completions explain complex computer science, cloud infrastructure, and AI architecture concepts. The dataset was prepared using Adaption's Adaptive Data platform and is hosted by author ujjawalbansal. Its last recorded update was on 2026-06-29.