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Publication Year: 2022

151 to 160 of 276 Results

Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - micro-XRCT dataset of medium column (sample 3) Jul 11, 2022 - Publication: Enzymatically induced carbonate precipitation Ruf, Matthias; Hommel, Johannes; Steeb, Holger, 2022, "Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - micro-XRCT dataset of medium column (sample 3)", https://doi.org/10.18419/DARUS-2906, DaRUS, V1, UNF:6:jlP3pZtBY1BpGYRex5PnqA== [fileUNF] This dataset contains a micro X-ray Computed Tomography (micro-XRCT) data set (projection, reconstructed, and segmented images) from a sintered glass beads column packing with enzymatically induced carbonate precipitation. The prepared sintered glass beads column sample has a diameter of about 5 mm and a length of 10 mm. It consists of glass beads...
Publication: Enzymatically induced carbonate precipitation(Universität Stuttgart) Jul 6, 2022Publications This dataverse includes research data based on investigations of enzymatically induced carbonate precipitation.
PN 3-8(Universität Stuttgart) Jul 5, 2022PN 3 Use of physically-based surrogate models to accelerate the optimization of classical force fields and development of new reduced order models for transport properties based on entropy scaling. Machine-learned models for transport properties will be developed with an increasing data-base of simulated force field parameters and substances.
EXC IntCDC Research Project 19 'Co-Design Methods for Developing Distributed Cooperative Multi-Robot Systems for Construction'(University of Stuttgart, Max Planck Institute for Intelligent Systems) Jul 5, 2022Cluster of Excellence Integrative Computational Design and Construction for Architecture (EXC IntCDC) RP19-1: Leveraging the building material as part of the robotic kinematic system for parallel construction. RP19-2: Co-design methods for developing distributed cooperative multi-robot systems for construction.
Replication Data for: "ParSetgnostics: Quality Metrics for Parallel Sets" Jun 30, 2022 - SFB-TRR 161 A03 "Quantification of Visual Analytics Transformations and Mappings" Dennig, Frederik L.; Fischer, Maximilian T.; Blumenschein, Michael; Fuchs, Johannes; Keim, Daniel; Dimara, Evanthia, 2022, "Replication Data for: "ParSetgnostics: Quality Metrics for Parallel Sets"", https://doi.org/10.18419/DARUS-2869, DaRUS, V1, UNF:6:mmqXqGYXSM0L6g/xQCjGUg== [fileUNF] This is the replication data for our research article "ParSetgnostics: Quality Metrics for Parallel Sets." It contains the datasets used to obtain optimized Parallel Sets visualizations. We used the following six datasets for our experiments, which we describe on a per-file basis. All datasets are purely categorical datasets.
Data for: Experimental Evaluation of Connectivity in Two-phase Flow in Porous Media during Drainage Jun 29, 2022 - Publication: Microfluidic experiments Vahid Dastjerdi, Samaneh; Karadimitriou, Nikolaos; Steeb, Holger, 2022, "Data for: Experimental Evaluation of Connectivity in Two-phase Flow in Porous Media during Drainage", https://doi.org/10.18419/DARUS-2250, DaRUS, V1, UNF:6:LEbgZwpIspjSG+AWpLIGmw== [fileUNF] With the use of optical microscopy, microfluidic experiments take place in quasi-2D artificial porous media for a variety of cyclic displacement processes and boundary conditions, three of which are shared here. This dataset contains the data presented in the related publication by Vahid Dastjerdi et. al. (2022). Each experiment is flow controlled...
Replication Data for: "Scaling the Plasma Simulation while Conserving the Mass" - Poster at PASC '22 Jun 28, 2022 - Scientific Computing Pollinger, Theresa; Kormann, Katharina, 2022, "Replication Data for: "Scaling the Plasma Simulation while Conserving the Mass" - Poster at PASC '22", https://doi.org/10.18419/DARUS-2784, DaRUS, V1 Data to replicate the run times for comparing different combination technique basis functions' performance. To be presented at the poster session at PASC 2022. The data generated is the run time of one DisCoTec+SeLaLib step. Time measurements for certain "events" are collected on each rank during run time, and collectively written to `timers.json`...
Neck Reflex Behavior in Driving Simulator Experiments(Universität Stuttgart) Jun 27, 2022PN 2 Neck movement and injury risks during a car crash are influenced by reflexes, strength, and flexibility. Data sets are provided containing in-vivo measurements of neck kinematics and reflexes as participants are rapidly accelerated while driving a mechanically simulated car. Torso, head and neck kinematics are measured using infrared reflective mar...
Code for: Lagrangian sensors in a stirred tank reactor: Comparing trajectories of 4D-Particle Tracking Velocimetry and Lattice-Boltzmann simulations Jun 24, 2022 - CHOLife_TUHH_4DPTV Hofmann, Sebastian; Weiland, Christian; Fitschen, Jürgen; von Kameke, Alexandra; Hoffmann, Marko; Schlüter, Michael, 2022, "Code for: Lagrangian sensors in a stirred tank reactor: Comparing trajectories of 4D-Particle Tracking Velocimetry and Lattice-Boltzmann simulations", https://doi.org/10.18419/DARUS-2294, DaRUS, V1 This dataset entails exemplary segments of raw data and MATLAB code that implements the following topics: (1) Raw data handling of the output files of DaVis (4D-PTV) and M-Star (Lattice-Boltzmann Large Eddy Simulation) for particle tracking in a stirred tank reactor, (2) Lagrangian evaluations of velocity and acceleration (3) Eulerian evaluations o...
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...

Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - micro-XRCT dataset of medium column (sample 3)

Jul 11, 2022 - Publication: Enzymatically induced carbonate precipitation

Ruf, Matthias; Hommel, Johannes; Steeb, Holger, 2022, "Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - micro-XRCT dataset of medium column (sample 3)", https://doi.org/10.18419/DARUS-2906, DaRUS, V1, UNF:6:jlP3pZtBY1BpGYRex5PnqA== [fileUNF]

This dataset contains a micro X-ray Computed Tomography (micro-XRCT) data set (projection, reconstructed, and segmented images) from a sintered glass beads column packing with enzymatically induced carbonate precipitation. The prepared sintered glass beads column sample has a diameter of about 5 mm and a length of 10 mm. It consists of glass beads...

Publication: Enzymatically induced carbonate precipitation(Universität Stuttgart)

Jul 6, 2022Publications

This dataverse includes research data based on investigations of enzymatically induced carbonate precipitation.

PN 3-8(Universität Stuttgart)

Jul 5, 2022PN 3

Use of physically-based surrogate models to accelerate the optimization of classical force fields and development of new reduced order models for transport properties based on entropy scaling. Machine-learned models for transport properties will be developed with an increasing data-base of simulated force field parameters and substances.

EXC IntCDC Research Project 19 'Co-Design Methods for Developing Distributed Cooperative Multi-Robot Systems for Construction'(University of Stuttgart, Max Planck Institute for Intelligent Systems)

Jul 5, 2022Cluster of Excellence Integrative Computational Design and Construction for Architecture (EXC IntCDC)

RP19-1: Leveraging the building material as part of the robotic kinematic system for parallel construction. RP19-2: Co-design methods for developing distributed cooperative multi-robot systems for construction.

Replication Data for: "ParSetgnostics: Quality Metrics for Parallel Sets"

Jun 30, 2022 - SFB-TRR 161 A03 "Quantification of Visual Analytics Transformations and Mappings"

Dennig, Frederik L.; Fischer, Maximilian T.; Blumenschein, Michael; Fuchs, Johannes; Keim, Daniel; Dimara, Evanthia, 2022, "Replication Data for: "ParSetgnostics: Quality Metrics for Parallel Sets"", https://doi.org/10.18419/DARUS-2869, DaRUS, V1, UNF:6:mmqXqGYXSM0L6g/xQCjGUg== [fileUNF]

This is the replication data for our research article "ParSetgnostics: Quality Metrics for Parallel Sets." It contains the datasets used to obtain optimized Parallel Sets visualizations. We used the following six datasets for our experiments, which we describe on a per-file basis. All datasets are purely categorical datasets.

Data for: Experimental Evaluation of Connectivity in Two-phase Flow in Porous Media during Drainage

Jun 29, 2022 - Publication: Microfluidic experiments

Vahid Dastjerdi, Samaneh; Karadimitriou, Nikolaos; Steeb, Holger, 2022, "Data for: Experimental Evaluation of Connectivity in Two-phase Flow in Porous Media during Drainage", https://doi.org/10.18419/DARUS-2250, DaRUS, V1, UNF:6:LEbgZwpIspjSG+AWpLIGmw== [fileUNF]

With the use of optical microscopy, microfluidic experiments take place in quasi-2D artificial porous media for a variety of cyclic displacement processes and boundary conditions, three of which are shared here. This dataset contains the data presented in the related publication by Vahid Dastjerdi et. al. (2022). Each experiment is flow controlled...

Replication Data for: "Scaling the Plasma Simulation while Conserving the Mass" - Poster at PASC '22

Jun 28, 2022 - Scientific Computing

Pollinger, Theresa; Kormann, Katharina, 2022, "Replication Data for: "Scaling the Plasma Simulation while Conserving the Mass" - Poster at PASC '22", https://doi.org/10.18419/DARUS-2784, DaRUS, V1

Data to replicate the run times for comparing different combination technique basis functions' performance. To be presented at the poster session at PASC 2022. The data generated is the run time of one DisCoTec+SeLaLib step. Time measurements for certain "events" are collected on each rank during run time, and collectively written to `timers.json`...

Neck Reflex Behavior in Driving Simulator Experiments(Universität Stuttgart)

Jun 27, 2022PN 2

Neck movement and injury risks during a car crash are influenced by reflexes, strength, and flexibility. Data sets are provided containing in-vivo measurements of neck kinematics and reflexes as participants are rapidly accelerated while driving a mechanically simulated car. Torso, head and neck kinematics are measured using infrared reflective mar...

Code for: Lagrangian sensors in a stirred tank reactor: Comparing trajectories of 4D-Particle Tracking Velocimetry and Lattice-Boltzmann simulations

Jun 24, 2022 - CHOLife_TUHH_4DPTV

Hofmann, Sebastian; Weiland, Christian; Fitschen, Jürgen; von Kameke, Alexandra; Hoffmann, Marko; Schlüter, Michael, 2022, "Code for: Lagrangian sensors in a stirred tank reactor: Comparing trajectories of 4D-Particle Tracking Velocimetry and Lattice-Boltzmann simulations", https://doi.org/10.18419/DARUS-2294, DaRUS, V1

This dataset entails exemplary segments of raw data and MATLAB code that implements the following topics: (1) Raw data handling of the output files of DaVis (4D-PTV) and M-Star (Lattice-Boltzmann Large Eddy Simulation) for particle tracking in a stirred tank reactor, (2) Lagrangian evaluations of velocity and acceleration (3) Eulerian evaluations o...

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...

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