Loading...
Loading...
3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,026 datasets
A pre-trained machine learning model file named 'voxelmorph_best_150.pth', published on Kaggle. The model is likely associated with the VoxelMorph framework, which is used for deformable image registration. Its specific training data, performance metrics, and intended medical imaging modalities are not detailed in the provided metadata.
Synthetic data designed for financial fraud detection modeling. The dataset's size, specific features, and creation details are unspecified. Its origin and last update date are unknown.
Markdown Unreal Engine 5 Documentation is a dataset published on Kaggle. The dataset likely contains documentation for the Unreal Engine 5 game development platform in Markdown format. Specifics regarding the content, size, and authorship are not provided in the available metadata.
Synthetic Data for Reminders is a dataset hosted on Kaggle. Its title suggests it contains artificially generated data related to reminders or task notifications. The dataset's specific content, size, and authorship are unknown.
Voxel_depth_dataset is a dataset published on Kaggle, likely related to 3D computer vision or graphics. Its specific contents, such as the number of samples or data collection method, are not detailed in the provided metadata. The dataset is associated with platform tags suggesting it may be used with or for pre-trained models.
GhostWire Mesh Routing Dataset is a dataset published on Kaggle. Its title suggests it contains data related to routing within mesh networks, a common topic in computer graphics and wireless network simulation. The dataset's specific content, scale, and origin are not detailed in the available metadata.
Synthetic data for analyzing transaction patterns and anomalies in Nigerian mobile money systems. The dataset's volume, creator, and update date are unknown.
SIMGEOSEV project data links driver behavior to road design using a driving simulator. The dataset contains JPG images, LAS point clouds, and location files captured by a Mobile Mapping System along the M611 road section. Author Lopez-Cuervo, Serafin published this data via the e-cienciaDatos Harvested Dataverse platform, with a last update recorded as 2026-01-11.
A dataset concerning the data mesh architectural paradigm, sourced from Kaggle. The specific contents, size, and authorship are not detailed in the provided metadata. Users must download the dataset to verify its exact structure and scope.
A dataset related to real-time neural-accelerated acoustic-haptic rendering for immersive STEM virtual environments. The dataset is tagged as Research. Specific details on rows, columns, author, and update recency are unavailable.
Synthetic sensor data simulates a wing spar digital twin for structural health monitoring. The dataset is designed for physics-informed analysis using Graph Neural Networks, focusing on aviation applications. Specific row counts, column features, and temporal coverage are not provided.
Pancreatitis 1926-2036: 500k AI Clinical Records is a dataset of 500,000 clinical records for metabolic shift analysis and sustainability simulation. The description suggests it is a digital twin simulation covering a 110-year period from 1926 to 2036. The dataset's author, organization, and specific collection method are not provided.
Synthetic dataset designed for research on responsible AI and automation decision systems. The dataset is tagged for intermediate-level users and focuses on topics like AutoML and artificial intelligence. Specific details on size, structure, and authorship are not provided.
A synthetic dataset for predicting salary based on features including skills, education, and experience. The dataset is hosted on Kaggle and is tagged as covering a global scope. The author, organization, and specific data volume are unknown.
A dataset from Kaggle focused on research in computational fluid dynamics. It contains data related to adaptive mesh refinement techniques informed by the golden ratio for simulating multiphase flows. The author, organization, and specific temporal coverage are unknown.
MeSH 2023 introduces newly added Main Headings for the National Library of Medicine's controlled vocabulary. Each entry includes a Scope Note describing the term's meaning and a Tree Category for hierarchical placement. This update was published by the National Library of Medicine in 2023.
Over 1,700 terms for federally recognized American Indian and Alaskan Native tribal names and ethnic minority groups were added to the Medical Subject Headings (MeSH) vocabulary in November 2022. This controlled vocabulary was mapped and reviewed by subject matter experts from NIH, NIMHD, and the Network of the National Library of Medicine. The data structure includes common fields for all type 5 SCRs, such as a designated heading mapping.
Synthetic data designed to simulate realistic patient records for heart disease risk assessment. The dataset includes features for risk factors, costs, and intentionally introduced data quality issues. It was sourced from Kaggle, but details on the author, license, and update frequency are unknown.
Synthetic records across global tech job categories and salary benchmarks. These simulated entries provide role-specific compensation data for privacy-compliant market research.