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3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,029 datasets
Development plans and surrounding areas for the municipality of Mandelbachtal in the German state of Saarland. The dataset, provided by the German Federal Agency for Cartography and Geodesy, focuses on the "Hunacker Hof Area use plan division" within the Ormesheim district. It was last updated in October 2024 and is published under a public domain license.
Articulation-XL2.0 provides over 11,300 3D models specifically curated for automatic rigging and articulation tasks. Developed by researchers from Nanyang Technological University and Bytedance Seed for CVPR 2025, the collection includes a diverse-pose subset of 10.8k training and 500 testing samples.
A cleaned version of the Microsoft Orca-AgentInstruct-1M-v1 dataset, containing 1 million synthetic instruction-response pairs. The dataset is a subset of the full AgentInstruct collection and was used to create the Orca-3-Mistral model. It was released by author mlabonne on Hugging Face and last updated on January 25, 2025.
16 sampling stations across the Bering Strait were surveyed during a joint Russian-U.S. research cruise in July 1991. The data captures distinct zooplankton communities and biomass differences between the Bering Sea/Anadyr and Alaskan water masses. The dataset was last updated in 2001 and originates from the organization SCIOPS.
OPP-PRF project data explores magnetospheric phenomena using paired magnetometer measurements from Arctic and Antarctic stations. The dataset supports research into magnetosheath jets and Pc5/Pc6 geomagnetic pulsations. It was contributed by AMD_USAPDC and last updated in December 2024.
De-identified transcripts of qualitative exit interviews from a pilot study testing a virtual reality intervention for pain in patients with stage IV colorectal cancer. The data was shared by author Sarah Kelleher via QDR Harvested Dataverse and was last updated on October 20, 2025. The study aimed to assess the feasibility, acceptability, safety, and impact of a single 30-minute VR session.
A dataset containing coding from a study author and four reliability coders for a research project. Each coder worked with 10% of the total dataset, and their work was individually compared with the author's. Inter-rater agreement and Cohen's Kappa scores were computed for all author-coder pairs using R version 3.6.1 and the irr package.
Prawns (Chorismus antarcticus) caught by mesh traps at the Vestfold Hills provides morphometric data on a Weddell seal prey species. The dataset contains measurements of length, mass, carapace length, and sex for approximately 50 prawns collected in Ellis Fjord in December 1999. Data was collected by the Australian Antarctic Division (AU_AADC) as part of a project to compile information on seal prey.
1999 to 2003 data from ice cores collected along a transect in McMurdo Sound, Antarctica. The dataset contains physico-chemical profiles and biological measurements from three sampling phases in early spring, early summer, and late summer. It was created by SCIOPS to investigate interactions between sea ice properties and biological activity.
DreamObjaverse 700K is a dataset of 700,000 items published by Stable-X on the Hugging Face platform. The dataset was last updated on January 11, 2026. Its title suggests it contains a large collection of 3D objects, likely for use in computer graphics and AI training.
Data from 2008 supports the ABACUS project's Work Package 6, providing spatial observations for ecosystem model assimilation. It includes moderate-resolution data from MODIS, MERIS, and AVHRR, high-resolution data from IKONOS and Landsat, airborne radiometry, and ground-based spectral measurements. The dataset was produced by the SCIOPS organization for characterizing vegetation state and analyzing topographic controls at Arctic test sites.
14 January 2015 snow depth data covering 285,000 m² at the top of Brämabüel, Switzerland, at 2490 m elevation. The map was generated using Unmanned Aerial System (UAS) digital surface models and is described in a 2016 paper published in The Cryosphere. It provides high-resolution spatial data on snow distribution for alpine terrain.
Encompassing numerical models simulating the lateral flow of magma within the Basement Sill, a major igneous intrusion in Antarctica. The models, built on a finite-element mesh derived from field data, capture flow behavior over a viscosity range of 1–10⁴ Pa·s and simulate particle segregation and shear strain rates. It was created by Nick Petford and published in 2020.
HSRD-100 is a 3D human scan dataset created by digitalrealitylab and last updated in September 2025. It contains 100 high-quality pose scans from 10 unique individuals. The dataset is described as providing a balanced representation of human demographics and poses.
Edit3D-Bench consists of 100 high-quality 3D models and 300 editing prompts designed for evaluating 3D editing algorithms. Developed by huanngzh for the 2025 VoxHammer paper, the collection sources 50 models from Google Scanned Objects and 50 from PartObjaverse-Tiny.
Meta released this collection of 1 to 10 million annotations in late 2024 to support 3D human body segmentation and pose estimation. It unifies labels from eight major computer vision sources including COCO, 3DPW, and EgoExo4D into a single framework for the Segment Anything Model (SAM).
Zooplankton samples were collected during the winter-spring transition in the Antarctic sea ice zone on two research cruises. The data likely contains species abundance counts identified to the lowest taxon possible, collected using a 2-meter umbrella net lowered to 100 meters. Samples were gathered by the Aurora Australis vessel during SIPEX (2007) and SIPEX II (2012) expeditions.
BioChem data from SCIOPS contains copepod species composition and associated chlorophyll measurements from Resolute Passage in the Canadian Arctic. Data collection occurred between 1983 and 1989 from an ice station using vertical net tows. The dataset focuses on dominant taxa like Pseudocalanus and Calanus hyperboreus to establish a baseline for monitoring Arctic ecosystem changes.
Photographs of snow pit ground surface collected using a digital camera during the NASA SnowEx 2023 field campaign between 17 and 28 October 2023. The images were collected from 22 snow pits located across three study sites in Northern Alaska and near Fairbanks. This data set was produced by NSIDC_CPRD.
SnowEx23 Oct23 Ground Surface Roughness Reconstruction V001 presents ground surface roughness data collected during the NASA SnowEx 2023 field campaign between 17 and 28 October 2023. The data are formatted as point clouds compiled from digital camera images. Images were collected from 22 snow pits across three study sites in Northern Alaska.