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3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,403 datasets
8,544 macroscopic images of wood species form this dataset, created by researchers from Imperial College London and Aristotle University of Thessaloniki. The dataset supports wood species recognition through multidimensional texture analysis, as described in a 2018 research paper. It is version 2 of the dataset, with the underlying data archived on Zenodo in 2019.
A five-day voyage from Nelson, New Zealand to Devonport, Australia in June 2009 collected biological and acoustic data in the Tasman Sea. The FV Rehua, a 65-meter vessel chartered by CSIRO Marine and Atmospheric Research, conducted eight three-hour deployments over 24 hours. Sampling used a MIDOC net system, a 38 kHz echosounder, and an Acoustic-Optical System to capture micronekton and acoustic reflectivity from depths up to 1000 meters.
13,149 samples organized into 10,207 groups across three distinct sub-collections named RobbyReal, RobbyVla, and RobbySim. This dataset is hosted on Hugging Face by the organization Voxel51 and was last updated on July 14, 2026. The data appears to be structured for use with the FiftyOne computer vision toolkit.
Geoscience Australia provides sediment property data for over 15,000 seabed samples from the Australian marine region. Analytical data includes textural composition, particle size statistics, and calcium carbonate values, with associated location and water depth information. This dataset is extracted from the Marine Sediment Database (MARS), an online resource containing approximately 2.6 million entries.
Australia's major crustal boundaries are modeled in three dimensions, synthesizing over 40 years of deep seismic reflection data. The model integrates geological and geophysical data to map inferred ancient plate boundaries and their geometries. It was produced by Geoscience Australia Data and updated in 2024.
Finite element simulation data used to compute a look-up-table for translating object area and deformation into Young's modulus in real-time deformability cytometry. The dataset contains object shapes and corresponding values for Young's modulus, deformation, projected area, and volume, stored in an HDF5 file. Lucas Daniel Wittwer reran and extended the original simulations to create this dataset, which is used by the dclab software.
An experimental study by Marcel Hark Maciel investigates the influence of reduced cement content in rendering mortars. The research varies cement consumption from 8% to 16% by mass, using limestone filler as a supplementary material while maintaining particle size distribution and consistency. Results indicate how reduced cement content affects hardened mortar properties, though formulations still meet typical rendering requirements.
An experiment assessed four holding pen climatization systems for dairy cattle through environmental variables and milk production. Sixteen lactating cows were used in a Latin square design across four environments over four periods of seven days each. The study was authored by Danilo Corrêa Silva and is available via Open Access.
A dataset of 536 samples for vineyard pruning tasks. It was created by Voxel51 and is hosted on the Hugging Face platform. The dataset was last updated on July 13, 2026.
AusBathyTopo 250m 2024 is a national-scale depth model for Australia, replacing the 2023 version. It was compiled from 1456 unique data sources, including multibeam echosounders, LiDAR, and satellite-derived bathymetry, by a partnership of Geoscience Australia, the Australian Hydrographic Office, James Cook University, and the University of Sydney. The grid covers a vast area from 92°E to 172°E and 8°S to 60°S, including the Australian continent, Tasmania, and several external territories.
SELTO is a benchmark dataset for deep learning in 3D topology optimization, containing voxelized problems and solutions. The dataset consists of four subsets (disc simple, disc complex, sphere simple, sphere complex), each split into training and validation sets. It was created by Sören Dittmer of the University of Bremen in cooperation with Ariane Group and Synera, using the Altair OptiStruct implementation of SIMP.
Four digital twins of the steel-concrete interface (SCI) provide segmented 3D representations of the material microstructure. The dataset was created by Thilo Schmid at ETH Zurich using a focused ion beam scanning electron microscope (FIB-SEM). Each digital twin is a segmented tomogram of the SCI.
Nine Australian coastal stations provide regular monthly zooplankton biomass samples, with Esperance and Ningaloo sampled every three months. The Plankton Ecology Lab analyzes these samples for community composition, dry weight biomass, and size spectrum. Data is managed by the Australian Ocean Data Network and is interoperable with other national and international programs.
A 1500-year record of coastal sediment accumulation preserved in beach deposits at Keppel Bay, Queensland, Australia. The dataset includes analyses of ridge morphology, sediment texture, and geochemistry, with a chronology built using optically stimulated luminescence (OSL) dating. It was published by the Australian Ocean Data Network and last updated in 2026.
Four main subfolders contain image sequences for testing shadow detection and texture segmentation algorithms. The dataset includes ground-truthed sequences of textured surfaces with moving shadows, camera travel, a computer-generated 3D scene, and challenging footage from a bipedal robot. Charles C. Newey from the University of Southampton created this dataset for computer vision research.
Raw numerical data from a conference paper on phase-change phenomena. The dataset contains simulation results for the one-phase and two-phase Stefan problems and for Gallium melting in a rectangular enclosure, generated using OpenFOAM v7. It was created by Bouke Johannes Kaaks of Delft University of Technology.
3D-ARM-Gaze is a public dataset of natural arm movements with visual and gaze information collected in virtual reality. Bianca Lento and colleagues at the Centre National de la Recherche Scientifique published it in 2024. The dataset captures reaching movements from a precisely controlled, seated posture across a wide reachable space.
A FiftyOne dataset containing 70,484 samples, with 140,968 total samples across window_a and window_b group slices, created by Voxel51. It was last updated on July 10, 2026. The dataset likely contains paired satellite image chips for land cover or agricultural analysis.
June 2009 biological and acoustic data collected during a five-day transit from New Zealand to Tasmania. The dataset includes micronekton samples from depths to 1000 meters, 38 kHz echosounder logs, and concurrent acoustic-optical measurements. Data was gathered by CSIRO Marine and Atmospheric Research using a chartered commercial fishing vessel.
TomatoMAP is a dataset containing 68,069 samples, hosted on the Hugging Face platform by Voxel51. The dataset is packaged for use with the FiftyOne computer vision toolkit. The full description is available on the dataset page, but specific details about columns, file formats, and license are not provided in the input.