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3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,028 datasets
A 3D model of the NASA Space Shuttle contains 212,970 polygons and 119,765 vertices. The model is provided by the National Aeronautics and Space Administration and was last updated in 2026. It is available in the IMAGE/X-3DS file format.
1,000 3D reconstruction sequences across spatial reasoning and neural rendering categories. These structured sequences support robotic perception and navigation, moving beyond the limitations of synthetic renders and uncontrolled web videos.
18,000 synthetic kinematic telemetry samples for predictive maintenance in MRO and Digital Twin AI applications. The dataset is hosted on Kaggle and is associated with Boeing 787 landing gear physics. The time range and original author are unknown.
A synthetic dataset of 10,000 intern records built for machine learning regression tasks. It was sourced from Kaggle, but the author, organization, and creation date are unknown. The specific features and target variables are not detailed in the available metadata.
A synthetic dataset designed for machine learning experiments focused on predicting customer churn. The data is modeled on a streaming service context, as indicated by the title and platform tags. Its author, size, and specific temporal coverage are unknown.
Industrial Maintenance Synthetic Dataset is a synthetic dataset created for training domain-specific natural language processing models. The dataset appears to contain text data related to industrial sensor readings and maintenance logs. Its author, size, and specific creation date are unknown.
A synthetic dataset for AI recruitment, hiring prediction, and resume screening tasks. The dataset is hosted on Kaggle and is tagged with topics including ML Ethics and Classification. The number of rows, specific features, and creation details are not provided in the available metadata.
Synthetic data for financial analysis and dashboard creation in the food and beverage sector of luxury hotels in Barcelona. The dataset is hosted on Kaggle and is tagged for time series analysis. The original author, organization, and specific data volume are unknown.
20,000 rows of synthetic car data generated for price prediction tasks. The dataset is intended for exploratory data analysis, cleaning, and regression modeling, and was created using the Faker library. It is hosted on Kaggle.
A collection of the underlying data used to generate figures in a manuscript and its supplementary materials on uniaxial spin texture in a superconducting electron gas. The data is associated with research by Anand Bhattacharya. The specific row count, column structure, and file formats are not provided.
200,000 synthetic employee records are provided for churn prediction analysis. The dataset is designed to model customer or employee departure from a service. Its creator and temporal coverage are not specified.
AU_AADC collected abundance and distribution data for sea ice and water column micro-invertebrates during the SIPEX II voyage of the Aurora Australis in 2012. Data includes counts from ice cores sectioned at 8 stations and from deployments of a laser optical plankton counter (LOPC) and plankton nets. The dataset was last updated on 2012-10-21 23:59:59.999000.
4208 records document the overwintering dynamics of 61 zooplankton species and taxa in Franklin Bay, southern Beaufort Sea. The data was collected by the Canadian Arctic Shelf Exchange Study (CASES) at weekly intervals from December 2003 to May 2004. SCIOPS is the organization responsible for this dataset.
A synthetic dataset designed for product catalog matching, entity resolution, and deduplication tasks. The dataset is hosted on Kaggle and is intended for exploratory data analysis in e-commerce services and data analytics. Its specific temporal coverage, size, and authorship are not provided.
Synthetic multimodal point cloud data representing industrial objects and environments, serving as the eighth part of a larger collection. The data includes 3D spatial information and multimodal sensor outputs generated through simulation for industrial automation research.
A collection of synthetic 3D point cloud data representing industrial components and environments across multiple modalities. It serves as the third installment in a series of datasets designed for spatial computer vision tasks within manufacturing and industrial contexts.
Giving access to synthetic multimodal point cloud data representing industrial components and environments as the tenth installment in a specialized series. It focuses on 3D spatial representations designed for computer vision tasks in manufacturing contexts where real-world data is limited.
Encompassing synthetic industrial point cloud data as the seventh installment of a multimodal collection. It features 3D spatial representations of industrial components or scenes generated in simulated environments to provide high-fidelity geometric information.
MeSH 2024 Update - Split Report lists terms replaced by a set of terms instead of a single term. The dataset includes changes from previous years, starting from 2023, and is hosted by datadiscovery.nlm.nih.gov. It was last updated on 2025-05-29 12:19:32.
791 distinct robotics datasets across 46 robot types provide a foundation for cross-embodiment pretraining of vision-language-action models. This crowdsourced collection was compiled by HuggingFaceVLA from 235 community contributors and was last updated in December 2025.