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3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,415 datasets
A registry of 13 domains and 41 meshes for ADCIRC-compatible coastal simulation, totaling 62.0 MB. The dataset, released as v0.3.2, is maintained by domattioli on GitHub. Geographic coverage includes bounding boxes for domains with coordinates in decimal degrees, as well as synthetic and projected meshes.
Different soil texture classes recorded within all studied locations and their percentages. The dataset is a 5.5 KB XLS file authored by Entesar Abou Glida and last updated on April 24, 2026.
Geoscience Australia produced free Web-viewable 3D models integrating spatial data for coastal zones. The model described is for the Keppel Bay and Fitzroy River area in Queensland, Australia. These models use the open source and ISO standard Virtual Reality Modelling Language (VRML) file format.
2020-2022 data collected via airborne laser altimetry provides a detailed ground-level elevation map for the entire Netherlands. The dataset is a Digital Terrain Model (DTM) with a 0.5-meter resolution, derived from point clouds classified as 'ground' and excludes objects like buildings and trees. It is produced by the Ministerie van Binnenlandse Zaken en Koninkrijksrelaties in collaboration with Dutch provinces, the national government, and water boards.
Streaming3D Dataset contains assets for the Streaming3D benchmark. The current release documents the GSO30 subset, a collection of 30 objects derived from Google Scanned Objects. Each object directory contains training renders, evaluation assets, and the original object mesh and material files.
614.8 MB of multi-view stereo (MVS) datasets captured in real aquaculture environments and constructed in Blender. The data, authored by 鹏举 闫 and last updated on 2026-04-28, is intended for non-contact body length measurement and biomass estimation of grouper fish. It is shared under a CC-BY-4.0 license on the figshare platform.
70% of stroke survivors have disability and less than 5% access rehabilitation in Sub-Saharan Africa, according to the dataset's abstract. This synthetic dataset models stroke types, acute care, post-stroke disability, rehabilitation access, and functional recovery across three care tiers. It was created by electricsheepafrica and parameterized from published Sub-Saharan Africa literature, not from real observations.
A benchmark dataset for cross-ontology entity alignment between the Medical Subject Headings (MeSH) and SNOMED CT biomedical terminologies. It contains 15,000 gold-aligned concepts embedded within larger, realistic knowledge graphs containing many non-aligned background entities. The dataset was created by vaibhavalakshmiravideshik and last updated on Hugging Face in May 2026.
Clinical and texture features derived from CT scans are included for predicting pulmonary metastasis in osteosarcoma patients. The dataset is hosted on Kaggle, but specific details about its size, origin, and creation date are not provided. Its primary purpose is to support the development of predictive models for cancer metastasis.
A collection of 3D assets, textures, and images for computer graphics projects, uploaded by BetaCapital. The dataset was last updated on 2026-05-23. The author notes a copyright disclaimer, stating they have attempted to ensure all content is original or free of rights.
A 3D model of downtown Montreal from 2011, covering the Peter-McGill and Saint-Jacques electoral districts. The model is non-georeferenced and was published by the Government and Municipalities of Québec. Its data has no legal value.
A synthetic healthcare ecosystem featuring interconnected datasets for AI and healthcare applications. The dataset is hosted on Kaggle, but its author, organization, and specific creation details are not provided. The size, row count, and last update date are unknown.
Geoscience Australia provides sediment property data for over 15,000 seabed samples from the Australian marine region. The dataset includes textural composition, particle size statistics, calcium carbonate values, and associated location and water depth information. It is derived from the national Marine Sediment Database (MARS), which holds approximately 2.6 million entries.
Juan Moises de la Serna Tuya's dataset provides synthetic and coherent estimates for ADHD prevalence, incidence, and case numbers. It is based on Global Burden of Disease (GBD) 1990–2021 estimates for Latin American subregions and supplemented with country-level data from studies in Chile, Mexico, Brazil, and Colombia. The dataset includes interpolated and projected values for 1990–2026 and is intended for exploratory analysis, visualization, and educational purposes.
MCD64A1 Version 6.1 is a monthly global gridded product mapping burned areas at 500-meter resolution. The algorithm uses MODIS surface reflectance and active fire observations to identify the ordinal day of burn for each pixel. This dataset is produced by NASA and includes layers for Burn Date, Uncertainty, and Quality Assurance.
StereoDataset is a synthetic multiview stereo dataset rendered in Unreal Engine. Each scene folder contains synchronized RGB and depth videos per camera, along with scene-level metadata files. The dataset was created by stereo-dataset-neurips2026 and was last updated on May 4, 2026.
Fourteen engineered features characterize the local neighborhood of each point within a 3D point cloud. Hanieh Naderi created this small 9.5 KB dataset, which was last updated on April 21, 2026. The data is stored in an XLS file format and shared under a CC-BY-4.0 license.
A synthetic dataset designed to mimic natural donor behavior. It was sourced from Kaggle, but the author, organization, and specific creation date are unknown. The dataset's size, row count, and file formats are unspecified.
5,300 synthetic scenarios for post-quantum cryptography key migration. The dataset likely contains simulated parameters for transitioning cryptographic systems to be quantum-safe. It was sourced from Kaggle, but details on authorship, creation date, and specific data structure are unknown.
North Sea Dove Fine Mesh Series Plankton Survey contains a time series of zooplankton counts collected by Newcastle University's Department of Marine Science and Technology. Data was gathered from 1964 to 2002 using the charter vessel 'Bernica' and includes positional data and filtered volumes. The dataset is aggregated by the Government Digital Service via the eu_open_data platform.