DaRUS

Metrics

7,065,790 Downloads

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 Transformative Architecture (EXC IntCDC)

SFB/Transregio 161 "Quantitative Methods for Visual Computing"

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.

1,931 to 1,940 of 3,548 Results

ABxM Framework for Agent-based Modeling and Simulation(Universität Stuttgart) Jun 24, 2022Institute of Computational Design and Construction The ABxM Framework provides an open platform for experimentation with agent-based, aka individual-based, systems. The aim of the framework is to "standardize" research equipment, in this case the tools for modeling and simulation, in order to increase transparency of agent-based models, and repeatability of research results. Its main application ca...
EXC IntCDC RP 3: Multi-Storey Wood Building System(Universität Stuttgart) Jun 22, 2022Institute of Computational Design and Construction
Handwriting Inpainting Dataset Jun 22, 2022 - Computer Vision Schmalfuss, Jenny; Scheurer, Erik; Zhao, Heng; Karantzas, Nikolaos; Bruhn, Andrés; Labate, Demetrio, 2022, "Handwriting Inpainting Dataset", https://doi.org/10.18419/DARUS-2886, DaRUS, V1 The dataset contains binary handwriting masks, which are sampled from scanned pages. Based on the overlay size, the training and test datasets are divided into five size ranges: 0-5%, 5-10%, 10-15%, 15-20% and 20-25% of the image.
Dumux code for creating results in dual network publication Jun 21, 2022 - Dual-network model Koch, Timo; Weishaupt, Kilian, 2021, "Dumux code for creating results in dual network publication", https://doi.org/10.18419/DARUS-1825, DaRUS, V2 Dumux source to produce some of the result in T. Koch, K. Weishaupt, J. Müller, B. Weigand, R.Helmig (2021) A (dual) network model for heat transfer in porous media, Transport in Porous Media doi: 10.1007/s11242-021-01602-5. The contained applications allow to perform dual network simulations, 3D upscale simulations of the stationary heat conductio...
Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering" Jun 21, 2022 - SFB-TRR 161 A07 "Visual Attention Modeling for Optimization of Information Visualizations" Wang, Yao; Bulling, Andreas, 2022, "Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"", https://doi.org/10.18419/DARUS-2826, DaRUS, V1, UNF:6:AuvgRc09o1rESd63AqlW9Q== [fileUNF] Despite its importance for assessing the effectiveness of communicating information visually, fine-grained recallability of information visualisations has not been studied quantitatively so far. We propose a question-answering paradigm to study visualisation recallability and present VisRecall -- a novel dataset consisting of 200 information visual...
A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances Jun 20, 2022 - PN 4-7 Baier, Alexandra; Staab, Steffen, 2022, "A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances", https://doi.org/10.18419/DARUS-2905, DaRUS, V1, UNF:6:Y083ZdO8GLwf/Iimyij+mQ== [fileUNF] This dataset contains data of 125 1-hour simulations of ship motion during various sea states performing random maneuvers in 4 degrees of freedom (surge-sway-yaw-roll). The original ship is a patrol ship developed by Perez et al. [1]. We have extended it with a set of two symmetrically placed rudder propellers. Additionally, we simulate wind forces...
Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent Jun 20, 2022 - PN 6-3 Holzmüller, David; Steinwart, Ingo, 2022, "Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent", https://doi.org/10.18419/DARUS-2978, DaRUS, V1 This data set contains code used to generate figures and tables in our paper "Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent". The code is also available on GitHub. Information on the code and installation instructions can be found in the file README.md.
EXC IntCDC Research Project 12 'Computational Co-Design Framework for Fibre Composite Building Systems'(University of Stuttgart, Max Planck Institute for Intelligent Systems) Jun 14, 2022Cluster of Excellence Integrative Computational Design and Construction for Transformative Architecture (EXC IntCDC) RP12-1: Computational co-design for fibre composite building systems including visual analytics and simulation interfaces. RP12-2: Computational co-design framework for fibre composite building systems. RP12-3: Integrative Methods for Hybrid Bio-fibre Timber Composite Systems
EXC IntCDC Research Project 10 'Co-Design from Architectural, Social and Computational Perspectives'(University of Stuttgart, Max Planck Institute for Intelligent Systems) Jun 13, 2022Cluster of Excellence Integrative Computational Design and Construction for Transformative Architecture (EXC IntCDC) RP10-1: Co-design from architectural, historical and social science perspectives. RP10-2: Co-design from architectural, social and computational perspectives: methods for the integrative exploration of design spaces for future timber buildings within existing urban contexts.
EXC IntCDC Research Project 4 'Cyber-Physical Fabrication Platform: Harnessing Wood’s Variability'(University of Stuttgart, Max Planck Institute for Intelligent Systems) Jun 13, 2022Cluster of Excellence Integrative Computational Design and Construction for Transformative Architecture (EXC IntCDC) RP4-1: Cyber-physical fabrication platform for wood building system utilizing human-machine collaborations including immersive analytics for augmented reality. RP4-2: Cyber‐physical fabrication platform: fluid fabrication – extending the adaptivity of island-based fabrication and the design-to-fabrication reciprocity through multi-unit collaboratio...

ABxM Framework for Agent-based Modeling and Simulation(Universität Stuttgart)

Jun 24, 2022Institute of Computational Design and Construction

The ABxM Framework provides an open platform for experimentation with agent-based, aka individual-based, systems. The aim of the framework is to "standardize" research equipment, in this case the tools for modeling and simulation, in order to increase transparency of agent-based models, and repeatability of research results. Its main application ca...

EXC IntCDC RP 3: Multi-Storey Wood Building System(Universität Stuttgart)

Jun 22, 2022Institute of Computational Design and Construction

Handwriting Inpainting Dataset

Jun 22, 2022 - Computer Vision

Schmalfuss, Jenny; Scheurer, Erik; Zhao, Heng; Karantzas, Nikolaos; Bruhn, Andrés; Labate, Demetrio, 2022, "Handwriting Inpainting Dataset", https://doi.org/10.18419/DARUS-2886, DaRUS, V1

The dataset contains binary handwriting masks, which are sampled from scanned pages. Based on the overlay size, the training and test datasets are divided into five size ranges: 0-5%, 5-10%, 10-15%, 15-20% and 20-25% of the image.

Dumux code for creating results in dual network publication

Jun 21, 2022 - Dual-network model

Koch, Timo; Weishaupt, Kilian, 2021, "Dumux code for creating results in dual network publication", https://doi.org/10.18419/DARUS-1825, DaRUS, V2

Dumux source to produce some of the result in T. Koch, K. Weishaupt, J. Müller, B. Weigand, R.Helmig (2021) A (dual) network model for heat transfer in porous media, Transport in Porous Media doi: 10.1007/s11242-021-01602-5. The contained applications allow to perform dual network simulations, 3D upscale simulations of the stationary heat conductio...

Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"

Jun 21, 2022 - SFB-TRR 161 A07 "Visual Attention Modeling for Optimization of Information Visualizations"

Wang, Yao; Bulling, Andreas, 2022, "Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"", https://doi.org/10.18419/DARUS-2826, DaRUS, V1, UNF:6:AuvgRc09o1rESd63AqlW9Q== [fileUNF]

Despite its importance for assessing the effectiveness of communicating information visually, fine-grained recallability of information visualisations has not been studied quantitatively so far. We propose a question-answering paradigm to study visualisation recallability and present VisRecall -- a novel dataset consisting of 200 information visual...

A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances

Jun 20, 2022 - PN 4-7

Baier, Alexandra; Staab, Steffen, 2022, "A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances", https://doi.org/10.18419/DARUS-2905, DaRUS, V1, UNF:6:Y083ZdO8GLwf/Iimyij+mQ== [fileUNF]

This dataset contains data of 125 1-hour simulations of ship motion during various sea states performing random maneuvers in 4 degrees of freedom (surge-sway-yaw-roll). The original ship is a patrol ship developed by Perez et al. [1]. We have extended it with a set of two symmetrically placed rudder propellers. Additionally, we simulate wind forces...

Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent

Jun 20, 2022 - PN 6-3

Holzmüller, David; Steinwart, Ingo, 2022, "Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent", https://doi.org/10.18419/DARUS-2978, DaRUS, V1

This data set contains code used to generate figures and tables in our paper "Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent". The code is also available on GitHub. Information on the code and installation instructions can be found in the file README.md.

EXC IntCDC Research Project 12 'Computational Co-Design Framework for Fibre Composite Building Systems'(University of Stuttgart, Max Planck Institute for Intelligent Systems)

Jun 14, 2022Cluster of Excellence Integrative Computational Design and Construction for Transformative Architecture (EXC IntCDC)

RP12-1: Computational co-design for fibre composite building systems including visual analytics and simulation interfaces. RP12-2: Computational co-design framework for fibre composite building systems. RP12-3: Integrative Methods for Hybrid Bio-fibre Timber Composite Systems

EXC IntCDC Research Project 10 'Co-Design from Architectural, Social and Computational Perspectives'(University of Stuttgart, Max Planck Institute for Intelligent Systems)

Jun 13, 2022Cluster of Excellence Integrative Computational Design and Construction for Transformative Architecture (EXC IntCDC)

RP10-1: Co-design from architectural, historical and social science perspectives. RP10-2: Co-design from architectural, social and computational perspectives: methods for the integrative exploration of design spaces for future timber buildings within existing urban contexts.

EXC IntCDC Research Project 4 'Cyber-Physical Fabrication Platform: Harnessing Wood’s Variability'(University of Stuttgart, Max Planck Institute for Intelligent Systems)

Jun 13, 2022Cluster of Excellence Integrative Computational Design and Construction for Transformative Architecture (EXC IntCDC)

RP4-1: Cyber-physical fabrication platform for wood building system utilizing human-machine collaborations including immersive analytics for augmented reality. RP4-2: Cyber‐physical fabrication platform: fluid fabrication – extending the adaptivity of island-based fabrication and the design-to-fabrication reciprocity through multi-unit collaboratio...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications