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Supplementary material: "The Art of Brainwaves: A Survey on Event-Related Pot...
The purpose related to this dataset is to investigate the state of visualization in ERP (Event-Related Potential) research. The investigation was conducted through an online... -
Supplemental Materials for: "De-emphasise, Aggregate, and Hide: A Study on In...
This dataset contains the supplemental materials for our publication "De-emphasise, Aggregate, and Hide: A Study on Interactive Visual Transformations for Group Structures in... -
Supplemental Material: "2D, 2.5D, or 3D? An Exploratory Study on Multilayer N...
Dataset containing supplemental material for the publication "2D, 2.5D, or 3D? An Exploratory Study on Multilayer Network Visualizations in Virtual Reality" This dataset... -
Data for: "Scanpath Prediction on Information Visualizations"
We propose Unified Model of Saliency and Scanpaths (UMSS) - a model that learns to predict multi-duration saliency and scanpaths (i.e. sequences of eye fixations) on information... -
VisRecall++: Analysing and Predicting Recallability of Information Visualisat...
This dataset contains stimuli and collected participant data of VisRecall++. The structure of the dataset is described in the README-File. Further, if you are interested in... -
Supplemental Material for Uncertainty-Aware Multidimensional Scaling
This dataset contains the supplemental material for "Uncertainty-Aware Multidimensional Scaling". Uncertainty-aware multidimensional scaling (UAMDS) is a nonlinear... -
Energy consumption of scientific visualisation and data visualisation algorithms
This data set comprises a series of measurements of GPU power consumption when raycasting spherical glyphs, raycasting scalar fields and when showing web-based data... -
Source Code for Uncertainty-Aware Multidimensional Scaling
This dataset contains the source code for the uncertainty-aware multidimensional scaling (UAMDS) algorithm implemented in the Java programming language. UAMDS is a nonlinear... -
Data for "VisRecall: Quantifying Information Visualisation Recallability via ...
Despite its importance for assessing the effectiveness of communicating information visually, fine-grained recallability of information visualisations has not been studied... -
Replication Data for: Uncertainty-Aware Principal Component Analysis
This dataset contains the source code for uncertainty-aware principal component analysis (UA-PCA) and a series of images that show dimensionality reduction plots created with...