DaRUS (University of Stuttgart)
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SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)
No full textUnderstanding the link between visual attention and user’s needs when visually exploring information visualisations is under-explored due to a lack of large and diverse datasets to facilitate these analyses. To fill this gap, we introduce SalChartQA - a novel crowd-sourced dataset that uses the BubbleView interface as a proxy for human gaze and a question-answering (QA) paradigm to induce different information needs in users. SalChartQA contains 74,340 answers to 6,000 questions on 3,000 visualisations. Informed by our analyses demonstrating the tight correlation between the question and visual saliency, we propose the first computational method to predict question-driven saliency on information visualisations. Our method outperforms state-of-the-art saliency models, improving several metrics, such as the correlation coefficient and the Kullback-Leibler divergence. These results show the importance of information needs for shaping attention behaviour and paving the way for new applications, such as task-driven optimisation of visualisations or explainable AI in chart question-answering. The files of this dataset are documented in README.md
Replication Data for "Spectral stability of V2-centres in sub-micron 4H-SiC membranes"
No full textCSV data sets to reproduce all plots in the paper and the Supplementary Informatio
Simulation Results from the Descriptive Graph-based Model of two Example Driving Scenarios
No full textVideo of the interior and exterior information of a driving scenario, with the resulting graph-based description. The video shows a combination of exterior data of a driving scenario in combination with information about the drivers eyegaze.
On the right side a resulting graph-based model is depicted which combines the states that are relevant for vehicle safety applications
Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures
No full textThis dataset features both data and code related to the research article titled "Rayleigh Invariance Enables Estimation of Effective CO2 Fluxes Resulting from Convective Dissolution in Water-Filled Fractures." It includes raw data packaged in tarball format, including Python scripts used to derive the results presented in the publication. High-resolution raw data for contour plots is available upon request.
1
Download the Dataset:
Download the dataset file using Access Dataset.
Ensure you have sufficient disk space available for storing and processing the dataset.
2
Extract the Dataset:
Once the dataset file is downloaded, extract its contents.
The dataset is compressed in a tar.xz format. Use appropriate tools to extract it. For example, in Linux, you can use the following command:
tar -xf Publication_CCS.tar.xz
tar -xf Publication_Karst.tar.xz
tar -xf Validation_Sim.tar.xz
This will create a directory containing the dataset files.
3
Install Required Python Packages:
Before running any code, ensure you have the necessary Python (version 3.10 tested) packages installed. The required packages and their versions are listed in the requirements.txt file.
You can install the required packages using pip:
pip install -r requirements.txt
4
Run the Post Processing Script:
After extracting the dataset and installing the required Python packages, you can run the provided post processing script.
The post processing script (post_process.py) is designed to replicate all the plots from a publication based on the dataset.
Execute the script using Python:
python3 post_process.py
This script will generate the plots and output them to the specified directory.
5
Explore and Analyze:
Once the script has completed running, you can explore the generated plots to gain insights from the dataset.
Feel free to modify the script or use the dataset in your own analysis and experiments.
High-resolution data, such as the vtu's for contour plots is available upon request; please feel free to reach out if needed.
6
Small Grid Study:
There is a tarball for the data that was generated to study the grid used in the related publication.
tar -xf Publication_CCS.tar.xz
If you unpack the tarball and have the requirements from above installed, you can use the python script to generate the plots.
7
Citation:
If you use this dataset in your research or publication, please cite the original source appropriately to give credit to the authors and contributors.
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Replication Data for: Structural development of a novel punctually supported timber building system for multi-storey construction
No full textThis dataset contains the experimental data of the tension tests of a stepped 3-layer Cross-Laminated Timber (CLT) connection that is described in the related publication. The dataset contains load and displacement values. The stepped edge connection is tested for different horizontal connection angles: 0, 30, 50 and 80 degrees. Three specimen (a, b, c) are tested per connection angle
Data for: The silicon vacancy centers in SiC: determination of intrinsic spin dynamics for integrated quantum photonics
No full textDatasets are for reproducing the measured data points and simulated/calculated theory curves in the figures depicted in the main text and supplement. The abbreviations in the datasets correspond to the figure captions in the journal version to be published. The respective subpanels (a,b,c, etc.) of figures are listed in the sheets of each datasets if they exist
Replication Data for: "Influence of Water Content on Speciation and Phase Formation in Zr–Porphyrin-Based MOFs"
No full textAll primary data files of the journal article mentioned can be found here. The data is structured by the measurement techniques in the subfolders "PXRD", "TGA", "NMR", "PDF", and "Sorption". The characterization data are recorded experimentally. The characterization data can be used to replicate the experiments and to evaluate and compare the materials' properties with others
Replication Data for: Origin of the yield stress anomaly in L12 intermetallics unveiled with physically informed machine-learning potentials
No full textData for the manuscript "Origin of the yield stress anomaly in L12 intermetallics unveiled with physically-informed machine-learning potentials", https://doi.org/10.1016/j.actamat.2024.120423.
This data set contains:
1) the utilized moment-tensor-potentials (MTP) and the corresponding training sets;
2) The atomistic structure of 2delta Kear-Wilsdorf lock (LAMMPS datafile);
3) a database for the thermodynamic properties of bulk Ni3Al calculated with the utilized MTP;
4) the finite-temperature Gibbs energy for four planar defects in Ni3Al with the utilized MTP
DP-FR-1924-MODLTW airfoil coordinates
No full textNormalized airfoil coordinates for the DP-FR-1924-MODLWT airoil.
The airfoil is derived from the DP-FR-1924 airfoil. Modifications done by Ulrich Deck, Institute of Aerodynamics and Gas Dynamics, University of Stuttgart. Courtesy from DLR Institute of Aerodynamics and Flow Technology and TUBS Institute of Fluid Mechanic
Models and Prepared Datasets for 3D-CNN - First Stage
No full textModels trained with Heat Plume Prediction 3D and datasets prepared with Heat Plume Prediction 3D into reasonable format, normalization used to train these models.
Based on raw data from doi:darus-4533