DaRUS

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This is the Data Repository of the University of Stuttgart.

SFB 1313 "Interface-Driven Multi-Field Processes in Porous Media"

SFB 1333 "Molecular heterogeneous catalysis in confined geometries"

Institute of Biochemistry

Institute of Applied Mechanics (MIB)

Institute of Thermodynamics and Thermal Process Engineering

Stuttgart Center for Simulation Science (SC SimTech)

Cluster of Excellence Integrative Computational Design and Construction for Architecture (EXC IntCDC)

SFB/Transregio 161 "Quantitative Methods for Visual Computing"

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131 to 140 of 2,674 Results

BayesValidRox 2.0.0 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)
VQA-MHUG Mar 3, 2025 - Collaborative Artificial Intelligence Sood, Ekta; Kögel, Fabian; Bulling, Andreas, 2024, "VQA-MHUG", https://doi.org/10.18419/DARUS-4428, DaRUS, V2 We present VQA-MHUG - a novel 49-participant dataset of multimodal human gaze on both images and questions during visual question answering (VQA), collected using a high-speed eye tracker. To the best of our knowledge, this is the first resource containing multimodal human gaze data over a textual question and the corresponding image. Our corpus en...
Code for Improving Video Caption Accuracy with LLMs 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...
Code for Caption Crowd (IKILeUS) 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...
Code for EchoTables (IKILeUS) 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...
Code for using and training spray segmentation models 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.
Code for statesim - a python package to simulate dynamical systems from ordinary differential equations. Feb 26, 2025 - InMotion (EXC) Frank, Daniel, 2025, "Code for statesim - a python package to simulate dynamical systems from ordinary differential equations.", https://doi.org/10.18419/DARUS-4769, DaRUS, V1, UNF:6:afs/qXtsE2p0ZWIJY23a/A== [fileUNF] Python package for simulating ordinary differential equations in state space form. See README.md for details.
Damped pendulum for nonlinear system identification - inputs are sampled from a multivariate-normal distribution - synthetically generated Feb 26, 2025 - InMotion (EXC) Frank, Daniel, 2025, "Damped pendulum for nonlinear system identification - inputs are sampled from a multivariate-normal distribution - synthetically generated", https://doi.org/10.18419/DARUS-4770, DaRUS, V1 Overview This dataset contains input-output data of a damped nonlinear pendulum that is actuated at the mounting point. The data was generated with statesim [1], a python package for simulating linear and nonlinear ODEs, for the system actuated pendulum. The configuration .json files for the corresponding datasets (in-distribution and out-of-distri...
Coupled mass-spring-damper system for nonlinear system identification - actuated with random static inputs - synthetically generated Feb 26, 2025 - InMotion (EXC) Frank, Daniel, 2025, "Coupled mass-spring-damper system for nonlinear system identification - actuated with random static inputs - synthetically generated", https://doi.org/10.18419/DARUS-4768, DaRUS, V1 Overview This dataset contains input-output data of a coupled mass-spring-damper system with a nonlinear force profile. The data was generated with statesim [1], a python package for simulating linear and nonlinear ODEs, for the system coupled-msd. The configuration .json files for the corresponding datasets (in-distribution and out-of-distribution...
Replication Data for: "Modeling Load-, Velocity-, and Temperature-Dependent Transmission Errors of Cycloidal Drives for Industrial Robots Using Fourier Series" Feb 25, 2025 - 2024_DFG_HyComp2 Bauer, Christian Johannes Eugen, 2025, "Replication Data for: "Modeling Load-, Velocity-, and Temperature-Dependent Transmission Errors of Cycloidal Drives for Industrial Robots Using Fourier Series"", https://doi.org/10.18419/DARUS-4454, DaRUS, V1, UNF:6:nXjE3jdP0ifitg6Z/WjD2A== [fileUNF] This dataset contains all identification and validation data used in the conference paper "Modeling Load-, Velocity-, and Temperature-Dependent Transmission Errors of Cycloidal Drives for Industrial Robots Using Fourier Series". The experimental data was recorded using an experimental setup to identify the transmission error of cycloidal drives as...

BayesValidRox 2.0.0

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)

VQA-MHUG

Mar 3, 2025 - Collaborative Artificial Intelligence

Sood, Ekta; Kögel, Fabian; Bulling, Andreas, 2024, "VQA-MHUG", https://doi.org/10.18419/DARUS-4428, DaRUS, V2

We present VQA-MHUG - a novel 49-participant dataset of multimodal human gaze on both images and questions during visual question answering (VQA), collected using a high-speed eye tracker. To the best of our knowledge, this is the first resource containing multimodal human gaze data over a textual question and the corresponding image. Our corpus en...

Code for Improving Video Caption Accuracy with LLMs

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...

Code for Caption Crowd (IKILeUS)

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...

Code for EchoTables (IKILeUS)

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...

Code for using and training spray segmentation models

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.

Code for statesim - a python package to simulate dynamical systems from ordinary differential equations.

Feb 26, 2025 - InMotion (EXC)

Frank, Daniel, 2025, "Code for statesim - a python package to simulate dynamical systems from ordinary differential equations.", https://doi.org/10.18419/DARUS-4769, DaRUS, V1, UNF:6:afs/qXtsE2p0ZWIJY23a/A== [fileUNF]

Python package for simulating ordinary differential equations in state space form. See README.md for details.

Damped pendulum for nonlinear system identification - inputs are sampled from a multivariate-normal distribution - synthetically generated

Feb 26, 2025 - InMotion (EXC)

Frank, Daniel, 2025, "Damped pendulum for nonlinear system identification - inputs are sampled from a multivariate-normal distribution - synthetically generated", https://doi.org/10.18419/DARUS-4770, DaRUS, V1

Overview This dataset contains input-output data of a damped nonlinear pendulum that is actuated at the mounting point. The data was generated with statesim [1], a python package for simulating linear and nonlinear ODEs, for the system actuated pendulum. The configuration .json files for the corresponding datasets (in-distribution and out-of-distri...

Coupled mass-spring-damper system for nonlinear system identification - actuated with random static inputs - synthetically generated

Feb 26, 2025 - InMotion (EXC)

Frank, Daniel, 2025, "Coupled mass-spring-damper system for nonlinear system identification - actuated with random static inputs - synthetically generated", https://doi.org/10.18419/DARUS-4768, DaRUS, V1

Overview This dataset contains input-output data of a coupled mass-spring-damper system with a nonlinear force profile. The data was generated with statesim [1], a python package for simulating linear and nonlinear ODEs, for the system coupled-msd. The configuration .json files for the corresponding datasets (in-distribution and out-of-distribution...

Replication Data for: "Modeling Load-, Velocity-, and Temperature-Dependent Transmission Errors of Cycloidal Drives for Industrial Robots Using Fourier Series"

Feb 25, 2025 - 2024_DFG_HyComp2

Bauer, Christian Johannes Eugen, 2025, "Replication Data for: "Modeling Load-, Velocity-, and Temperature-Dependent Transmission Errors of Cycloidal Drives for Industrial Robots Using Fourier Series"", https://doi.org/10.18419/DARUS-4454, DaRUS, V1, UNF:6:nXjE3jdP0ifitg6Z/WjD2A== [fileUNF]

This dataset contains all identification and validation data used in the conference paper "Modeling Load-, Velocity-, and Temperature-Dependent Transmission Errors of Cycloidal Drives for Industrial Robots Using Fourier Series". The experimental data was recorded using an experimental setup to identify the transmission error of cycloidal drives as...

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