Metrics
3,772,905 Downloads
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

91 to 100 of 130 Results
Mar 11, 2025 - PN 5-13
Duvenbeck, Lennart; Riethmüller, Cedric; Rohde, Christian, 2025, "Matlab Code and Data for: Data-driven geometric parameter optimization for PD-GMRES", https://doi.org/10.18419/DARUS-4812, DaRUS, V1
This repository contains the Matlab code and generated data for the manuscript "Data-driven geometric parameter optimization for PD-GMRES" which uses a quadtree approach to optimize parameters for the iterative solver PD-GMRES. It includes hardware specific data to allow for reproducibity of our results. Our calculations were performed using MATLAB...
Mar 7, 2025 - Institute of Thermodynamics and Thermal Process Engineering
Teh, Tiong Wei; Franz, Philipp; Stierle, Rolf; Hansen, Niels; Gross, Joachim, 2025, "Supplementary material for "GPU-accelerated classical density functional theory for alkane adsorption in cationic Faujasites: accuracy and performance comparison with grand canonical Monte Carlo simulations"", https://doi.org/10.18419/DARUS-4710, DaRUS, V1, UNF:6:stHJH07TlPNQ2mlEEjL5kA== [fileUNF]
The data that support the findings of the article "Classical density functional theory for alkane adsorption in cationic Faujasites: comparison with grand canonical Monte Carlo simulations". The dataset includes all adsorption data obtained from GCMC simulations (data_gcmc), from classical DFT calculations (data_dft) and RASPA input files (raspa)....
Mar 7, 2025 - EXC IntCDC Research Project 1 'Functionally Graded Concrete Building System – Design, Optimisation, Digital Production and Reuse'
Teichmann, Alexander, 2025, "Replication Data for: Exploring the Predictive Potential of Sequential Data in Concrete Manufacturing", https://doi.org/10.18419/DARUS-4780, DaRUS, V1, UNF:6:6vGHB/B0ukeyj7my+koQow== [fileUNF]
Addendum to the corresponding paper. The paper explores the predictive potential of sequential data of a mixing plant regarding fresh concrete characteristics. The data was synthetically generated and takes into account the specific concrete mix proportions and their effect on the mixing power consumption as well as the slump flow value. The set co...
Mar 6, 2025 - 3rd Physics Institute
Körber, Jonathan; Hessenauer, Jannis, 2025, "Replication Data for "Cavity enhancement of V2 centers in 4H-SiC with a fiber-based Fabry-Pérot microcavity"", https://doi.org/10.18419/DARUS-4788, DaRUS, V1, UNF:6:NUzZplaDwulMAR6IQNQcOw== [fileUNF]
CSV data sets to reproduce all plots in the paper. The datasets are either 1D plots with the x-values in the first column and all plotted y-curves in the following columns or 2D plots. In the latter case, the data consists of a vector containing the values of the x- and y-axis (first row and column, respectively) as well as the 2D data. Information...
Mar 5, 2025 - SFB 1333 A1+B2 - Buchmeiser group, IPOC-MSF
Kundu, Koushani; Buchmeiser, Michael, 2025, "Replication Data for: Origin of Stereoselectivity in Ring Opening Metathesis Polymerization with Cationic Molybdenum Imido Alkylidene CAAC Complexes", https://doi.org/10.18419/DARUS-4791, DaRUS, V1
This dataset includes the NMR (1H, 19F and 13C) of the novel catalysts used in this article, the single crystal X-ray structure of a catalyst, and the proton NMR of the polymers.
Mar 4, 2025 - D03: Development and realisation of validation benchmarks
Kohlhaas, Rebecca; Morales Oreamuno, Maria Fernanda; Lacheim, Alina, 2025, "BayesValidRox 2.0.0", https://doi.org/10.18419/DARUS-4752, DaRUS, V1
Release 2.0.0 of BayesValidRox. BayesValidRox is an open-source python package that provides methods for surrogate modeling, Bayesian inference and model comparison. (2025-02-05)
Feb 28, 2025 - Analytic Computing
Fathallah, Nadeen, 2025, "Code for Improving Video Caption Accuracy with LLMs", https://doi.org/10.18419/DARUS-4776, DaRUS, V1
As part of the IKILeUS project at the University of Stuttgart, research was conducted to explore how Large Language Models (LLMs) can enhance the accuracy and contextual relevance of automatic speech recognition (ASR)-generated captions. While ASR tools provide a foundation for accessibility, they often produce grammatical errors, misinterpret homo...
Feb 28, 2025 - Analytic Computing
Fathallah, Nadeen; Staab, Steffen, 2025, "Code for Caption Crowd (IKILeUS)", https://doi.org/10.18419/DARUS-4775, DaRUS, V1, UNF:6:e9mxpfNAwwwZlt8Uc4I+mQ== [fileUNF]
CaptionCrowd is an interactive platform developed within the IKILeUS project at the University of Stuttgart to improve video caption accuracy for the Deaf and Hard of Hearing (DHH) community. While automatic captions provide some accessibility, they often contain errors in grammar, homophones, and domain-specific terminology, making comprehension c...
Feb 28, 2025 - Analytic Computing
Fathallah, Nadeen; Staab, Steffen, 2025, "Code for EchoTables (IKILeUS)", https://doi.org/10.18419/DARUS-4774, DaRUS, V1
EchoTables is an innovative accessibility tool developed as part of the IKILeUS project at the University of Stuttgart. It is designed to improve the usability of tabular data for visually impaired users by converting structured tables into concise, auditory-friendly textual summaries. Traditional screen readers navigate tables linearly, which impo...
Feb 27, 2025 - Spray Segmentation
Jose, Basil; Hampp, Fabian, 2025, "Code for using and training spray segmentation models", https://doi.org/10.18419/DARUS-4739, DaRUS, V1
This dataset contains the necessary code for using our spray segmentation model used in the paper, ML-based semantic segmentation for quantitative spray atomization description. See README for more information.
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.