At the University of Stuttgart's visualisation research centre, about 30 scientists work in different areas of scientific visualisation, visual analytics, visual computing and computer graphics, as well as in interdisciplinary, applied research. The latter results in close co-operation with non-visualisation disciplines at the University of Stuttgart. This DataVerse contains research data produced by the institute in the aforementioned research areas. For additional data, we recommend also visiting the DataVerse of VIS, which is the visualisation institute of the faculty of computer science, electrical engineering and information technology.
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11 to 15 of 15 Results
Poster for deRSE19 Conference: Software Sustainability for the Open-Source Particle Visualization Framework MegaMol
Jun 6, 2023
Braun, Matthias; Reina, Guido; Ertl, Thomas, 2023, "Poster for deRSE19 Conference: Software Sustainability for the Open-Source Particle Visualization Framework MegaMol", https://doi.org/10.18419/DARUS-3542, DaRUS, V1
MegaMol is an open-source prototyping framework for the interactive visualization of large particle-based data. Its flexible, modular architecture allows it also to serve as development platform for general visualization research. As outlined in the proposal, we planned to improve both the development and the user experience of MegaMol in several w...
Supplemental Material for "Which Experimental Design is Better Suited for VQA Tasks? - Eye Tracking Study on Cognitive Load, Performance, and Gaze Allocations"
Apr 3, 2023
Vriend, Sita; Vidyapu, Sandeep; Rama, Amer; Chen, Kun-Ting; Weiskopf, Daniel, 2023, "Supplemental Material for "Which Experimental Design is Better Suited for VQA Tasks? - Eye Tracking Study on Cognitive Load, Performance, and Gaze Allocations"", https://doi.org/10.18419/DARUS-3380, DaRUS, V1, UNF:6:mnjCJZLU4zgl+uXCgQV5fA== [fileUNF]
We investigated the effect of stimulus-question ordering and modality in which the question is presented of a user study with visual question answering (VQA) tasks. In an eye-tracking user study (N=13), we tested 5 conditions within-subjects. The conditions were counter-balanced to account for order effects. We collected participants' answers to th...
Supplemental Material for "Can Image Data Facilitate Reproducibility of Graphics and Visualizations? Towards a Trusted Scientific Practice"
Supplemental Material for "Can Image Data Facilitate Reproducibility of Graphics and Visualizations? Towards a Trusted Scientific Practice"
Mar 2, 2023
Reina, Guido, 2023, "Supplemental Material for "Can Image Data Facilitate Reproducibility of Graphics and Visualizations? Towards a Trusted Scientific Practice"", https://doi.org/10.18419/DARUS-3345, DaRUS, V1
This data set contains the visualization pipeline states and resulting images for the example scenarios as listed in the manuscript. The auxiliary python scripts are contained for reference, but can be obtained from the MegaMol source code as well (https://github.com/UniStuttgart-VISUS/megamol). One folder per dataset / visualization software combi...
Constrained Dynamic Mode Decomposition - Supplemental Material
Nov 9, 2022
Krake, Tim; Klötzl, Daniel; Eberhardt, Bernhard; Weiskopf, Daniel, 2022, "Constrained Dynamic Mode Decomposition - Supplemental Material", https://doi.org/10.18419/DARUS-3107, DaRUS, V1
In this supplemental material, we provide additional application results of constrained Dynamic Mode Decomposition and a parameter study for the delay parameter d that complement the evaluation in the main document: The paper on Constrained Dynamic Mode Decomposition published with IEEE Transactions on Visualization and Computer Graphics. In this c...
Supplemental Material for Visualization of Nonlinear Programming for Robot Motion Planning
Dec 15, 2020
Hägele, David; Abdelaal, Moataz; Oguz, Ozgur S.; Toussaint, Marc; Weiskopf, Daniel, 2020, "Supplemental Material for Visualization of Nonlinear Programming for Robot Motion Planning", https://doi.org/10.18419/DARUS-1128, DaRUS, V1
Supplemental material for the paper "Visualization of Nonlinear Programming for Robot Motion Planning". It comprises a video and source code of a visual analytics system for analyzing constrained optimization runs. The video showcases the interactive features of the system by demonstrating two analysis scenarios. The source code includes the robot...
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