21 to 30 of 59 Results
Jun 18, 2024 - SFB-TRR 161 D04 "Quantitative Aspects of Immersive Analytics for the Life Sciences"
Kern, Martin; Jaeger-Honz, Sabrina; Schreiber, Falk; Sommer, Björn, 2024, "Research Data: "APL@voro—interactive visualization and analysis of cell membrane simulations"", https://doi.org/10.18419/DARUS-4252, DaRUS, V1
Here, we summarise available data and source code regarding the publication "APL@voro—interactive visualization and analysis of cell membrane simulations". Abstract Molecular dynamics (MD) simulations of cell membranes allow for a better understanding of complex processes such as changing membrane dynamics, lipid rafts and the incorporation/passing... |
Apr 8, 2024 - SFB-TRR 161 A07 "Visual Attention Modeling for Optimization of Information Visualizations"
Wang, Yao; Bulling, Andreas, 2024, "VisRecall++: Analysing and Predicting Recallability of Information Visualisations from Gaze Behaviour (Dataset and Reproduction Data)", https://doi.org/10.18419/DARUS-3138, DaRUS, V1, UNF:6:NwphGtoYrBQqd2TyRh0OHA== [fileUNF]
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 related codes of the publication, you can find a copy of the code repository (see Metadata for Research Software) within this dataset. |
Mar 22, 2024 - SFB-TRR 161 A07 "Visual Attention Modeling for Optimization of Information Visualizations"
Wang, Yao; Bulling, Andreas, 2024, "Saliency3D: A 3D Saliency Dataset Collected on Screen (Dataset and Experiment Application)", https://doi.org/10.18419/DARUS-4101, DaRUS, V1
While visual saliency has recently been studied in 3D, the experimental setup for collecting 3D saliency data can be expensive and cumbersome. To address this challenge, we propose a novel experimental design that utilizes an eye tracker on a screen to collect 3D saliency data. Our experimental design reduces the cost and complexity of 3D saliency... |
Mar 13, 2024 - SFB-TRR 161 B01 "Adaptive Self-Consistent Visualization"
Krake, Tim; Klötzl, Daniel; Hägele, David; Weiskopf, Daniel, 2024, "Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material", https://doi.org/10.18419/DARUS-3845, DaRUS, V1
In this supplemental material, we provide the appendix (mathematically exact propagation of uncertainty) and the video material for uncertainty-aware seasonal-trend decomposition based on loess (UASTL). This material complements the main document: The paper on Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess. |
Mar 1, 2024 - SFB-TRR 161 INF "Collaboration Infrastructure"
Becher, Michael; Müller, Christoph; Reina, Guido; Weiskopf, Daniel; Ertl, Thomas, 2024, "Your visualisations are going places: Performance data for scientific visualisation on gaming consoles", https://doi.org/10.18419/DARUS-4003, DaRUS, V1
The data set contains performance data (mainly frame times) for rendering spherical glyphs and scalar fields on Xbox Series consoles, mobile game consoles and a reference PC with different GPUs. |
Feb 28, 2024 - SFB-TRR 161 D05 "Visual computing for ERP-based brain activity"
Mikheev, Vladimir; Skukies, Rene; Ehinger, Benedikt, 2023, "Supplementary material: "The Art of Brainwaves: A Survey on Event-Related Potential Visualization Practices"", https://doi.org/10.18419/DARUS-3729, DaRUS, V2, UNF:6:+qePfVjlqif+DUSlAZSsrw== [fileUNF]
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 questionnaire administered via LimeSurvey Community Edition v5.4.7, hosted by the University of Stuttgart. The survey was designed to gather information about participants' exp... |
Feb 6, 2024 - SFB-TRR 161 B01 "Adaptive Self-Consistent Visualization"
Rodrigues, Nils; Dennig, Frederik L.; Brandt, Vincent; Keim, Daniel; Weiskopf, Daniel, 2024, "Comparative Evaluation of Animated Scatter Plot Transitions - Supplemental Material", https://doi.org/10.18419/DARUS-3451, DaRUS, V1
We evaluated several animations for transitions between scatter plots in a crowd-sourcing study. We published the results in a paper and provide additional information within this supplemental material. Contents: Tables that did not fit into the original paper, due to page limits. An anonymized print-out of the preregistration. The original preregi... |
Feb 6, 2024 - SFB-TRR 161 D04 "Quantitative Aspects of Immersive Analytics for the Life Sciences"
Aichem, Michael; Klein, Karsten; Kobourov, Stephen; Schreiber, Falk, 2023, "Supplemental Materials for: "De-emphasise, Aggregate, and Hide: A Study on Interactive Visual Transformations for Group Structures in Network Visualisations"", https://doi.org/10.18419/DARUS-3706, DaRUS, V2
This dataset contains the supplemental materials for our publication "De-emphasise, Aggregate, and Hide: A Study on Interactive Visual Transformations for Group Structures in Network Visualisations". The publication reports on an experiment that we conducted to explore the effects of different interactive visual transformations in network drawings... |
Jan 26, 2024 - SFB-TRR 161 A03 "Quantification of Visual Analytics Transformations and Mappings"
Dennig, Frederik L.; Joos, Lucas; Paetzold, Patrick; Blumberg, Daniela; Deussen, Oliver; Keim, Daniel; Fischer, Maximilian T., 2024, "The Categorical Data Map - Replication Data", https://doi.org/10.18419/DARUS-3372, DaRUS, V1, UNF:6:4NrkBxJKpeeQqsRmi8XRPw== [fileUNF]
Source code and datasets used for our experiments are shared for replication purposes along our publication "The Categorical Data Map". We describe each of the six datasets individually on a per-file basis. All datasets are purely nominal datasets. |
Aug 16, 2023 - SFB-TRR 161 B04 "Adaptive Algorithms for Motion Estimation"
Schmalfuss, Jenny; Mehl, Lukas; Bruhn, Andrés, 2023, "Distracting Downpour - Adversarial Weather Attacks for Motion Estimation (Replication Data)", https://doi.org/10.18419/DARUS-3677, DaRUS, V1
This dataset contains the generated weather configurations as png and npz files. |
