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3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,020 datasets
200 job roles across 7 domains and 7 cities are represented in this synthetic dataset. It covers a 6-year period from 2020 to 2025 and is described as privacy-safe synthetic data. The dataset was sourced from Kaggle, but specific authorship and licensing details are unknown.
Student Placement & Career Success Dataset 2026 is a realistic synthetic dataset containing placement outcomes and coding profiles. It was published on Kaggle, but the author, organization, and specific creation date are unknown. The dataset's size, exact number of rows, and file formats are unspecified.
20 simulation samples for Computational Fluid Dynamics analysis, split into 10 training and 10 test samples. The dataset was generated using CFD physics simulation and converted to PLAID format for standardized access by the author fabiencasenave.
A developer-friendly Quran database using QCF v4 glyph rendering for the Hafs recitation. The dataset provides structured, page-accurate Quranic text data paired with fonts to render it as it appears in the printed Madinah Mushaf. It was authored by MohamadHajjRabee and last updated on March 15, 2026.
Orca-m1 is a bundle for large language model training, inference, and synthetic data generation. The dataset's author, organization, and specific size are unknown. It was sourced from the Kaggle platform.
PCFootprint is a large-scale, open-source benchmark for vectorized building footprint extraction from Airborne Laser Scanning (ALS) point clouds. It contains 227,264 annotated building instances across 33,000 standardized tiles, covering a geographic extent of 540.67 km². The dataset was created by Haoyuan-Shen and sourced from the Estonian Land and Spatial Development Board, with a last recorded update on 2026-03-13.
A 2023-2026 update report for the Medical Subject Headings (MeSH) controlled vocabulary, listing new descriptors and supplementary concept records. The data includes new terms, replacements for deleted terms, and new entry combinations, compiled by datadiscovery.nlm.nih.gov. The report was last updated on February 10, 2026.
19,992 indoor room point clouds with structured 3D layout and object annotations, released by Voxel51 as part of the SpatialLM benchmark. Each sample consists of a colored point cloud paired with 3D bounding boxes for architectural features and furniture, updated in March 2026.
The MeSH 2026 Update - Update (All Fields) Report lists each individual modification made to a Descriptor or Supplementary Concept Record (SCR). More than one field on a term can be modified during the Year-End Processing (YEP), resulting in a term having multiple entries on the list. This report includes MeSH changes from previous years, starting from 2023, and is provided by datadiscovery.nlm.nih.gov.
Three 3D point cloud models, each provided in both occluded and unoccluded versions, were synthesized from polygonal models. The dataset includes the Stanford bunny, Utah Teapot, and OSG Cow, with shapes obscured by amorphous point clouds to study visual perception. It was created by the Department of Energy and last updated in March 2026.
A report listing changes to the Preferred Term of a Descriptor or Supplementary Concept Record in the Medical Subject Headings (MeSH) vocabulary. The dataset includes updates from 2023 through the 2026 release, as published by datadiscovery.nlm.nih.gov. It was last updated on February 10, 2026.
A dataset for analyzing the bicep curl exercise movement. It contains a mixture of real and synthetically generated data. The author, platform, and specific data volume are not provided.
A synthetic dataset for analyzing voice command recognition performance. The dataset is hosted on Kaggle, but the author, organization, and creation date are unknown. The specific number of samples, features, and geographic or temporal coverage are not provided in the description.
Synthetic data exploring relationship dynamics between females with borderline personality disorder and partners with psychopathic traits. The dataset's origin, size, and specific variables are not detailed in the available metadata. It was sourced from Kaggle, but the author, organization, and last update date are unknown.
The MeSH 2026 Update - Replace Report lists where existing Medical Subject Headings terms have been replaced by others, including changes from 2023 onward. It is published by datadiscovery.nlm.nih.gov and was last updated on February 10, 2026. The dataset includes 11 columns tracking the replacement details for Descriptors and Supplementary Concept Records.
MeSH 2026 Update - Delete Report lists Descriptors and Supplementary Concept Records removed from the Medical Subject Headings vocabulary. The report includes changes from 2023 to 2026, sourced from datadiscovery.nlm.nih.gov. Data is available in CSV, JSON, XML, and RDF formats.
datadiscovery.nlm.nih.gov provides a structured report detailing changes to the Medical Subject Headings (MeSH) vocabulary. The dataset describes cases where two or more terms have merged into a single term, with coverage from 2023 to 2026. It was last updated on February 10, 2026.
From 2023 to 2026, this report tracks changes to chemical Registry Numbers within the Medical Subject Headings (MeSH) controlled vocabulary. It lists modifications to Descriptor and Supplementary Concept Records, sourced from datadiscovery.nlm.nih.gov. The data is available in CSV, JSON, XML, and RDF formats.
Brain Observatory Storage Service & Database (BossDB) is a data ecosystem containing neuro-imaging datasets across multiple modalities and scales. The datasets range from nanoscale electron microscopy to mesoscale structural and functional magnetic resonance imaging. Many datasets include dense segmentation and meshes, and the collection is hosted by the Johns Hopkins University Applied Physics Laboratory under a CC0-1.0 license.
Waste Contamination Textures Dataset contains textures of various contaminants found in recyclable waste. The dataset is hosted on Kaggle, but its author, organization, and specific creation details are unknown. Its size, row count, and last update date are also unspecified.