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Computer Graphics & Simulation

3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data

1,018 datasets

Northern Ireland North Coast Post-Storm LiDAR Recovery Survey

Fugro undertook two topographic LiDAR surveys of soft sedimentary coastlines in Northern Ireland in 2022, following successive storms Dudley, Eunice, and Franklin. The March survey assessed damage to beaches from Curran Strand to Magilligan, while the September survey measured recovery, with data collected from the intertidal zone to 10 meters inland at 0.5-meter resolution. This data, provided in the same format as a 2021 baseline survey, enables precise change detection for coastal management.

GeospatialPoint CloudJSONBenchmarkStorm ImpactCoastal Monitoring+1

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Computer Graphics & Simulation

Thermal Images and Features for Joint Inflammation Detection Across 14 Anatomical Regions

A dataset supporting research on texture-enhanced thermography for joint inflammation detection. It contains 2,754 thermal images in CSV format across 14 anatomical regions, along with patient metadata and extracted statistical features. The data was collected by researchers including Dima Bykhovsky and published in 2026.

ImageTabularZIPCSVTexture AnalysisMedical ImagingJoint InflammationHealthcareThermographyClinical Data+1

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Computer Graphics & Simulation

Quality Evaluation Results for Simplified Real-Scene 3D Models

A dataset containing quantitative evaluation results for real-scene 3D models simplified at rates of 0%, 20%, 40%, 60%, 80%, and 90%. The data includes image-based similarity metrics, Hausdorff distance results, positional accuracy measurements, and HCI-based evaluation scores from six evaluators. It was authored by HONG WEI and last updated on June 1, 2026.

TabularExcelModel SimplificationHci Evaluation3d Model QualityPhotogrammetryBenchmarkComputer VisionGeometric SimilaritySynthetic+1

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Computer Graphics & Simulation

Curie Point Depth Mapping for Geothermal Prospecting in Yukon, Canada

Curie point depth mapping across Yukon, Canada, was produced using public aeromagnetic data from Natural Resources Canada. The dataset, published by the Government of Yukon, demarcates 95% of the territory into regions of shallow or deep Curie point depth, indicating higher or lower crustal heat flow. Results from two different methodologies and window sizes were broadly consistent, identifying south-central Yukon as having higher heat flow.

TabularGeospatialZIPExcelGeophysicsGeothermal ProspectingAeromagnetic DataCurie Point DepthYukon Canada+1

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Computer Graphics & Simulation

Ablation Study of a GNN-RL Digital Twin for Urban Traffic Control

5.5 KB of experimental results from an ablation study of a Digital Twin component for urban traffic networks. The dataset, created by Fayez Alanazi and last updated in June 2026, supports a framework integrating Graph Convolutional Networks and Long Short-Term Memory units for traffic forecasting with a reinforcement learning module for adaptive signal control.

TabularTime SeriesExcelGraph Neural NetworksDigital TwinBenchmarkEdge CloudReinforcement LearningTraffic Forecasting+1

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Computer Graphics & Simulation

AusBathyTopo 250m 2024: National-Scale Depth Model for Australia

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.

Geospatial🇦🇺 AustraliaZIPOceanographyCoastal ModellingBathymetry+1

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Computer Graphics & Simulation

IMOS Zooplankton Biomass from Nine Australian Coastal Stations

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.

TabularTime SeriesEcological DataZooplankton BiomassMarine ObservingAustralian Coastline+1

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Computer Graphics & Simulation

Table 1_Distinct aging-related profiles of allocentric knowledge recall following navigati

Thirty younger and thirty older adults performed a city-like virtual reality wayfinding task across multiple exposures. The dataset includes navigation performance metrics and scores from an allocentric representation assessment, revealing a bimodal distribution of performance among older adults. Authored by Yasmine Bassil and published under CC-BY-4.0 on figshare in June 2026.

TabularVirtual RealitySpatial navigationBehavioral DataNeuroscienceCognitive Aging+1

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Computer Graphics & Simulation

AusBathyTopo 2024: Australia's 250m National Seabed Depth Model

1456 unique data sources, including multibeam echosounders, LiDAR, and satellite-derived bathymetry, were compiled to create this 2024 national-scale depth grid for Australia. The model results from a partnership between Geoscience Australia, the Australian Hydrographic Office, and academic institutions, representing decades of data collection and analysis. It covers a vast area from 92°E to 172°E and 8°S to 60°S, including the continent, Tasmania, and several offshore territories.

Geospatial🇦🇺 AustraliaZIPOceanographySatellite-DerivedBathymetry+1

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Computer Graphics & Simulation

RPINet: Urban Point Cloud and Remote Sensing Image Fusion for Semantic Segmentation

A dataset likely containing results or supporting data for the RPINet model, which integrates 2D remote sensing images with 3D point cloud data for urban scene understanding. The data was created by Zhe Jing and last updated on May 22, 2026. The dataset is small, at 5.5 KB, and is stored in an XLS file format.

GeospatialPoint CloudMultimodalExcelSemantic Segmentation3D VisionUrban Point CloudsComputer VisionLarge Scale+1

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Computer Graphics & Simulation

Performance Comparison on SensatUrban Dataset for Semantic Segmentation

RPINet achieved a mean IoU of 66.5% on the SensatUrban dataset, outperforming existing methods. This 5.5 KB Excel file, authored by Zhe Jing and last updated in May 2026, contains performance comparison data for a novel model integrating 2D images with 3D point clouds. The dataset is licensed under CC-BY-4.0 and hosted on figshare.

TabularGeospatialExcelSemantic SegmentationUrban Point CloudsComputer VisionLarge Scale+1

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Computer Graphics & Simulation

RPINet: Ablation Study Results for Urban Point Cloud Segmentation

Zhe Jing published ablation study results for RPINet on 2026-05-22. RPINet is a Remote-Projection and Intelligent Network integrating 2D remote sensing images with 3D point cloud data for semantic segmentation of urban scenes. The dataset likely contains performance metrics from experiments conducted on the SensatUrban dataset.

GeospatialPoint CloudMultimodalExcelUrban ScenesSemantic SegmentationComputer VisionLarge Scale+1

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Computer Graphics & Simulation

Class-wise mIoU Comparison on SensatUrban for Semantic Segmentation

A tabular dataset comparing class-wise mean Intersection over Union (mIoU) scores for semantic segmentation models on the SensatUrban benchmark. The data, stored in an XLS file of 5.5 KB, was uploaded by Zhe Jing in May 2026 under a CC-BY-4.0 license. It likely contains performance metrics for models like RPINet, which integrates 2D remote sensing images with 3D point cloud data.

TabularGeospatialExcelSemantic SegmentationUrban Point CloudsComputer VisionLarge ScaleMiou+1

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Computer Graphics & Simulation

Droplet Microfluidics Image Data for Detecting Antibiotic-Resistant Bacteria

Experimental time-lapse TIFF image sequences from droplet microfluidic experiments conducted at Uppsala University. The 227.3 GB dataset supports reproducibility of methods for detecting rare antibiotic-resistant bacterial subpopulations at single-cell resolution. It was published in npj Digital Medicine and is organized into folders corresponding to manuscript figures.

ImageTime SeriesZIPTextBiomedical ResearchBacterial ImagingComputer VisionTime Lapse MicroscopyMicrofluidicsAntibiotic ResistanceSynthetic+1

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Computer Graphics & Simulation

VET-SAVR: Virtual Reality Feasibility Study for Suicide Prevention Training

VET-SAVR is a dataset from a mixed-methods feasibility study evaluating a prototype virtual reality simulation for suicide prevention training. The study involved 30 participants who used Meta Quest 2 headsets to complete a home visit simulation, with measures including presence, engagement, and cue recall. The dataset, authored by Donna Schuman and last updated in May 2026, is available under a CC-BY-4.0 license.

TabularExcelVeterans HealthVirtual RealityFeasibility StudyBenchmarkHealthcareTraining SimulationSuicide Prevention+1

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Computer Graphics & Simulation

Grapevine Berry Texture and Seed Development QTL Mapping Data

An F1 population of 200 grapevine individuals from a cross between Raboso Veronese and Sultanina cultivars was phenotyped for berry color, weight, 28 texture traits, and seed parameters. The population was genotyped using Single Primer Enrichment Technology (SPET), yielding high-density pseudo-testcross genetic maps with over 1,200 SNP markers each. Quantitative trait locus (QTL) analysis revealed major-effect QTLs on chromosome 18 and several minor-effect QTLs related to berry mechanical properties and seed development.

TabularExcelBerry TextureSeed DevelopmentGrapevine GeneticsPlant breedingQuantitative Trait Locus+1

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Computer Graphics & Simulation

Grapevine Berry Texture and Seed Development QTL Mapping Data

An F1 population of 200 grapevine individuals was phenotyped for berry color, weight, 28 texture-related traits, seed number, and 11 seed morphology parameters. High-density pseudo-testcross genetic maps for two parent cultivars contain 1,223 and 1,238 SNP markers, with QTL analysis revealing loci explaining up to 65.49% of phenotypic variation. The dataset, authored by Chiara Biselli and last updated in May 2026, provides a foundation for dissecting the genetic architecture of berry mechanical properties and defective seed development.

TabularExcelBerry TextureSeed DevelopmentGrapevine GeneticsLinkage mappingQuantitative Trait Locus+1

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Computer Graphics & Simulation

Grapevine Berry Texture and Seed Development QTL Mapping Data

An F1 population of 200 grapevine individuals was phenotyped for berry color, weight, 28 texture-related traits, and 11 seed morphology parameters. The population was genotyped using Single Primer Enrichment Technology (SPET), yielding high-density genetic maps with over 1,200 SNP markers per parent. Quantitative trait locus analysis identified major-effect QTLs on chromosome 18 with LOD values up to 45 and explained phenotypic variation up to 65.49%.

TabularExcelBerry TextureSeed DevelopmentGrapevine GeneticsLinkage mappingQuantitative Trait Locus+1

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Computer Graphics & Simulation

Grapevine Berry Texture and Seed Development QTL Mapping from an F1 Population

An F1 population of 200 individuals from a cross between Raboso Veronese and Sultanina grape cultivars was phenotyped for berry color, weight, 28 texture traits, and seed morphology. High-density pseudo-testcross genetic maps for both parents contain over 1,200 SNP markers each. Quantitative trait locus analysis revealed a major QTL on Sultanina chromosome 18 with a LOD score up to 45 and explaining up to 65.49% of phenotypic variation for berry texture and seed traits.

TabularBerry TextureSeed DevelopmentGrapevine GeneticsPlant PhenotypingQuantitative Trait Locus+1

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Computer Graphics & Simulation

Grapevine Berry Texture and Seed Development QTL Mapping Data

An F1 population of 200 grapevine individuals was phenotyped for 28 texture-related traits and 11 seed morphology parameters and genotyped via Single Primer Enrichment Technology (SPET). High-density genetic maps for two parent cultivars contain over 1,200 SNP markers each, revealing QTLs with LOD scores up to 45 explaining up to 65.49% of phenotypic variation. The dataset, authored by Chiara Biselli and last updated in May 2026, provides a foundation for dissecting the genetic architecture of berry mechanical properties and defective seed development.

TabularExcelBerry TextureSeed DevelopmentGrapevine GeneticsPlant PhenotypingQuantitative Trait Locus+1

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