Loading...
Loading...
3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,417 datasets
A controlled millimetre-wave radar point-cloud dataset created by Guo, Kailu of milipointwithKinect. The data is designed for analyzing guided rehabilitation-related movements in standardized indoor settings. The dataset was last updated on 2026-05-18.
A synthetic dataset of employee details created using the Faker library. The dataset is published on Kaggle, but specific details like row count, column definitions, and creation date are not provided. Its content likely includes simulated personal and professional attributes for testing and development purposes.
A dataset of spatial point clouds captured using millimetre-wave radar technology, intended for health-related applications. It was authored by Guo, Kailu of milipointwithKinect and last updated on 2026-05-18.
EgoPoseVR is a large-scale synthetic dataset for egocentric full-body pose estimation in virtual reality. It contains 18,235 motion clips with paired RGB-D observations, pose annotations, HMD tracking signals, and SMPL body parameters across 7 virtual scenes. The dataset was created by AplusX and was last updated on April 12, 2026.
LLM-FT synthetic dataset is a collection of data published on Kaggle. The title suggests it is likely intended for fine-tuning large language models. The dataset's specific content, size, and creation details are not provided in the available metadata.
Data and materials supporting a paper on individual differences in Virtual Reality experiences. The dataset likely contains measures of presence, embodiment, and engagement from a VR intervention study. It was authored by Aniek Siezinga and last updated in May 2026.
HorizonRobotics introduced ARSG-110K, a large-scale scene-level dataset comprising over 110,000 diverse scenes and 3 million annotated images. It provides high-fidelity 3D ground truth, including accurate object-level data, layout, and annotations. The dataset was last updated on April 8, 2026.
Resources for Bundle-Adjusting Neural Radiance Fields (BARF) 3D scene reconstruction. The dataset is published on Kaggle. Specific details on data volume, creation date, and authorship are not provided in the available metadata.
Water bottle samples collected from 14 stations in Florida during a November 1998 cruise provide counts and biochemical analysis of the harmful algae Karenia brevis. Coulter counts for the 14-28 um size class were determined, and isolated algae pellets were analyzed for total lipid, neutral lipid, free amino acids, protein, RNA, chlorophyll, and nitrate. The dataset was produced by Kamykowski's NCSU laboratory for NOAA NCEI.
Sixteen samples underwent unconfined compressive strength and ultrasonic tests, while thirty-two samples were analyzed for grain density, porosity, and permeability. Data originates from laboratory testing on Paleoproterozoic to Mesoproterozoic cores from six drill holes in the Birrindudu Basin, performed by CSIRO from January to June 2025.
British Geological Survey data includes repeat terrestrial laser scans (TLS) for measuring barchans and protodunes in the Huab Dune Field, Namibia. The dataset contains raw point cloud and gridded TLS data, supplemented by wind speed, wind direction, and sediment transport measurements for part of the period. Data collection occurred from 2014 to 2023 along the Skeleton Coast.
Great Sand Dunes National Park and Preserve in Colorado, USA, is the location for this dataset of early-stage sand dune formation. It includes raw point cloud data from repeat terrestrial laser scans (TLS) and measurements of wind speed and sediment transport. The data was collected in March and April 2023 and is provided by the British Geological Survey (BGS).
Raw point cloud data from repeat terrestrial laser scans (TLS) tracks the development, migration, and erosion of early-stage protodunes on a gravel surface. The dataset also includes wind speed measurements from a CSAT 3D sonic anemometer and sediment transport data from a Sensit sensor. Data was collected by the British Geological Survey at Helga's Interdune Area in the Gobabeb, Namib Desert, Namibia from September to December 2023.
British Geological Survey data includes repeat terrestrial laser scans measuring saltation, moisture, and early-stage protodune development on a moist beach surface. The dataset also contains wind speed measurements from a CSAT 3D sonic anemometer and sediment transport data from Sensit and Wenglor fork sensors, along with sediment trap samples and grain size analysis. Data was collected in December 2019 at Brancaster Beach, UK.
Great Sand Dunes National Park and Preserve in Colorado, USA, is the location for this dataset of repeat terrestrial laser scans (TLS) measuring ripple and protodune migration on a moist surface. The dataset includes raw point cloud data from TLS scans, along with wind speed measurements from a CSAT 3D sonic anemometer and sediment transport data from Sensit and Wenglor fork sensors. The data was collected in March and April 2023 and is provided by the British Geological Survey (BGS).
British Geological Survey data includes raw point cloud data from repeat terrestrial laser scans for early-stage protodunes migrating and eroding on a gravel surface in the Helga's Interdune Area, Gobabeb, Namib Desert, Namibia. The dataset also contains nearby measurements of wind speed via a CSAT 3D sonic anemometer and sediment transport using a Sensit along with sediment trap data downwind of the focus protodune. The dataset was last updated on 2026-04-09.
April 3, 2023 data from repeat terrestrial laser scans (TLS) capturing early-stage protodune development on a moist sandy surface in the Medano Creek area of Great Sand Dunes National Park, Colorado, USA, under very strong winds. The dataset includes raw point cloud data from TLS alongside nearby measurements of wind speed via a CSAT 3D sonic anemometer and sediment transport using Sensit and Wenglor fork sensors. It was contributed by the British Geological Survey (BGS) and last updated on the platform in April 2026.
Point cloud data representing fingerprints, likely for biometric identification research. The dataset is hosted on Kaggle, a platform for data science competitions and projects. Specific details about data volume, collection method, and authorship are not provided in the available metadata.
A dataset of simulated robot manipulation trajectories from the ManiSkill environment. The data appears to include RGB images and robot state information for tasks like cube picking. It was created by author 'surgingTu' and last updated on the Hugging Face platform in April 2026.
Historic Area Remediation Site (HARS) offshore New York and New Jersey contains sea floor sediment texture data from 1996 and 1998 surveys. The dataset includes maps of sea floor topography, shaded relief, and backscatter intensity at a 3-meter per pixel resolution, showing changes from dredged material placement. This study was conducted cooperatively by the U.S. Geological Survey and the U.S. Army Corps of Engineers.