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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 Transformative Architecture (EXC IntCDC)

SFB/Transregio 161 "Quantitative Methods for Visual Computing"

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2,091 to 2,100 of 3,537 Results

Replication Data for: Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique Oct 18, 2021 - Scientific Computing Pollinger, Theresa, 2021, "Replication Data for: Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique", https://doi.org/10.18419/DARUS-2123, DaRUS, V1, UNF:6:azg9VIhJn6FUwnNgme2Kjg== [fileUNF] Scripts to run the weak, strong and remote strong scaling tests described in "Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique", as well as measurements obtained on the Machines HAWK and our Institute's epyc machine. To reproduce, follow the build procedure detailed in the scripts reposi...
Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Oct 15, 2021 - PN 6 Zaverkin, Viktor; Holzmüller, David; Steinwart, Ingo; Kästner, Johannes, 2021, "Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments", https://doi.org/10.18419/DARUS-2136, DaRUS, V1 Code and documentation for the improved Gaussian Moments Neural Network (GM-NN). An updated version can be found on GitLab
Cyclorotor(Universität Stuttgart) Oct 15, 2021Institute of Aerodynamics and Gas Dynamics
CSI Dataset dichasus-0c5x: Outdoor - Street on University Campus Oct 12, 2021 - DICHASUS Channel State Information Measurements Euchner, Florian; Gauger, Marc, 2021, "CSI Dataset dichasus-0c5x: Outdoor - Street on University Campus", https://doi.org/10.18419/DARUS-2186, DaRUS, V1 Dataset containing channel state information (CSI) alongside ground truth data (position tags, timestamps) of a massive MIMO-OFDM system measured with the DICHASUS channel sounder. Measurement parameters and machine-readable file format descriptions are provided in a JSON file (spec.json). Outdoor, mostly line-of-sight environment with transmitter...
Dataset: Thermosuperrepellency of a hot substrate caused by vapour percolation Oct 12, 2021 - Collaborative Research Center Transregio 75 (SFB-TRR 75) Schmidt, Johannes Benedikt; Hofmann, Julian; Tenzer, Fabian; Breitenbach, Jan; Tropea, Cameron; Roisman, Ilia, 2020, "Dataset: Thermosuperrepellency of a hot substrate caused by vapour percolation", https://doi.org/10.48328/TUDATALIB-530 The authors gratefully acknowledge the Deutsche Forschungsgemeinschaft for its financial support in the framework of the Collaborative Research Center SFB-TRR 75, project number 84292822 and the Industrieverband Massivumformung e.V.. This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Sample Properties, Evaporation Data, and Pressure Measurements of MgSO4 Crusts on F32 Quartz Sand From 0.96 mol/L, 0.64 mol/L, and 0.32 mol/L Initial Concentration Oct 8, 2021 - C05: Process-dependent porosity-permeability relations for fluid-solid reactions in porous media Piotrowski, Joseph; Huisman, Johan Alexander, 2021, "Sample Properties, Evaporation Data, and Pressure Measurements of MgSO4 Crusts on F32 Quartz Sand From 0.96 mol/L, 0.64 mol/L, and 0.32 mol/L Initial Concentration", https://doi.org/10.18419/DARUS-1861, DaRUS, V2, UNF:6:xYGrTts04RzpxXSLpfQHTA== [fileUNF] The dataset contains data from evaporation of magnesium sulfate solution with an initial concentration of 0.96 mol/L, 0.64 mol/L, and 0.32 mol/L from F32 quartz sand. Additionally, pressure measurement of the separated and dried crusts from 40%, 30%, and 20(25)% saturation inside of the sample are provided using dry nitrogen gas (dynamic viscosity...
DICHASUS Channel State Information Measurements(Institute of Telecommunications) Oct 7, 2021Institute of Telecommunications/Institut für Nachrichtenübertragung (INÜ) The DICHASUS (DIstributed CHAnnel Sounder by University of Stuttgart) dataset collection contains channel state information datasets for line of sight, non-line of sight, indoor, outdoor, colocated and distributed antenna configurations, complete with "ground truth" positioning labels. Visit https://dichasus.inue.uni-stuttgart.de/ for more informat...
Institute of Telecommunications/Institut für Nachrichtenübertragung (INÜ)(Universität Stuttgart) Oct 7, 2021
Replication Data for: Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach Oct 7, 2021 - Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach Jaust, Alexander; Schmidt, Patrick, 2021, "Replication Data for: Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach", https://doi.org/10.18419/DARUS-1778, DaRUS, V1 This repository contains simulation data and postprocessing scripts used in the publication: Schmidt, P., Jaust, A., Steeb, H., Schulte, M.: "Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach". Computational Geosciences (2022). doi:10.1007/s10596-021-10120-8. The three cases presented in the paper a...
Replication data of Buchmeiser group for: "Cationic Tungsten Imido Alkylidene N-Heterocyclic Carbene Complexes That Contain Bulky Ligands" Oct 7, 2021 - SFB 1333 A1+B2 - Buchmeiser group, IPOC-MSF Musso, Janis; Schowner, Roman; Frey, Wolfgang; Buchmeiser, Michael, 2021, "Replication data of Buchmeiser group for: "Cationic Tungsten Imido Alkylidene N-Heterocyclic Carbene Complexes That Contain Bulky Ligands"", https://doi.org/10.18419/DARUS-2176, DaRUS, V1 Neutral and cationic tungsten imido alkylidene complexes of the general formulas W(NtBu)(CHR1)(OR2)Cl(NHC),W(N-2,6-bis(2,4,6-tri-iPr-C6H4)phenyl)(CHR1)Cl2(NHC), [W(NtBu)(CHR1)(OR2)(NHC)][B(ArF)4] and [W(N-2,6-bis(2,4,6-tri-iPr-C6H4)phenyl)(CHR1)Cl(NHC)][B(ArF)4] (R 1 = CMe3, CMe2Ph; R2 = sterically demanding alkoxide; B(ArF)4 =tetrakis(3,5-(CF3)2-C...

Replication Data for: Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique

Oct 18, 2021 - Scientific Computing

Pollinger, Theresa, 2021, "Replication Data for: Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique", https://doi.org/10.18419/DARUS-2123, DaRUS, V1, UNF:6:azg9VIhJn6FUwnNgme2Kjg== [fileUNF]

Scripts to run the weak, strong and remote strong scaling tests described in "Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique", as well as measurements obtained on the Machines HAWK and our Institute's epyc machine. To reproduce, follow the build procedure detailed in the scripts reposi...

Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments

Oct 15, 2021 - PN 6

Zaverkin, Viktor; Holzmüller, David; Steinwart, Ingo; Kästner, Johannes, 2021, "Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments", https://doi.org/10.18419/DARUS-2136, DaRUS, V1

Code and documentation for the improved Gaussian Moments Neural Network (GM-NN). An updated version can be found on GitLab

Cyclorotor(Universität Stuttgart)

Oct 15, 2021Institute of Aerodynamics and Gas Dynamics

CSI Dataset dichasus-0c5x: Outdoor - Street on University Campus

Oct 12, 2021 - DICHASUS Channel State Information Measurements

Euchner, Florian; Gauger, Marc, 2021, "CSI Dataset dichasus-0c5x: Outdoor - Street on University Campus", https://doi.org/10.18419/DARUS-2186, DaRUS, V1

Dataset containing channel state information (CSI) alongside ground truth data (position tags, timestamps) of a massive MIMO-OFDM system measured with the DICHASUS channel sounder. Measurement parameters and machine-readable file format descriptions are provided in a JSON file (spec.json). Outdoor, mostly line-of-sight environment with transmitter...

Dataset: Thermosuperrepellency of a hot substrate caused by vapour percolation

Oct 12, 2021 - Collaborative Research Center Transregio 75 (SFB-TRR 75)

Schmidt, Johannes Benedikt; Hofmann, Julian; Tenzer, Fabian; Breitenbach, Jan; Tropea, Cameron; Roisman, Ilia, 2020, "Dataset: Thermosuperrepellency of a hot substrate caused by vapour percolation", https://doi.org/10.48328/TUDATALIB-530

The authors gratefully acknowledge the Deutsche Forschungsgemeinschaft for its financial support in the framework of the Collaborative Research Center SFB-TRR 75, project number 84292822 and the Industrieverband Massivumformung e.V..

This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.

Sample Properties, Evaporation Data, and Pressure Measurements of MgSO4 Crusts on F32 Quartz Sand From 0.96 mol/L, 0.64 mol/L, and 0.32 mol/L Initial Concentration

Oct 8, 2021 - C05: Process-dependent porosity-permeability relations for fluid-solid reactions in porous media

Piotrowski, Joseph; Huisman, Johan Alexander, 2021, "Sample Properties, Evaporation Data, and Pressure Measurements of MgSO4 Crusts on F32 Quartz Sand From 0.96 mol/L, 0.64 mol/L, and 0.32 mol/L Initial Concentration", https://doi.org/10.18419/DARUS-1861, DaRUS, V2, UNF:6:xYGrTts04RzpxXSLpfQHTA== [fileUNF]

The dataset contains data from evaporation of magnesium sulfate solution with an initial concentration of 0.96 mol/L, 0.64 mol/L, and 0.32 mol/L from F32 quartz sand. Additionally, pressure measurement of the separated and dried crusts from 40%, 30%, and 20(25)% saturation inside of the sample are provided using dry nitrogen gas (dynamic viscosity...

DICHASUS Channel State Information Measurements(Institute of Telecommunications)

Oct 7, 2021Institute of Telecommunications/Institut für Nachrichtenübertragung (INÜ)

The DICHASUS (DIstributed CHAnnel Sounder by University of Stuttgart) dataset collection contains channel state information datasets for line of sight, non-line of sight, indoor, outdoor, colocated and distributed antenna configurations, complete with "ground truth" positioning labels. Visit https://dichasus.inue.uni-stuttgart.de/ for more informat...

Institute of Telecommunications/Institut für Nachrichtenübertragung (INÜ)(Universität Stuttgart)

Oct 7, 2021

Replication Data for: Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach

Oct 7, 2021 - Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach

Jaust, Alexander; Schmidt, Patrick, 2021, "Replication Data for: Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach", https://doi.org/10.18419/DARUS-1778, DaRUS, V1

This repository contains simulation data and postprocessing scripts used in the publication: Schmidt, P., Jaust, A., Steeb, H., Schulte, M.: "Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach". Computational Geosciences (2022). doi:10.1007/s10596-021-10120-8. The three cases presented in the paper a...

Replication data of Buchmeiser group for: "Cationic Tungsten Imido Alkylidene N-Heterocyclic Carbene Complexes That Contain Bulky Ligands"

Oct 7, 2021 - SFB 1333 A1+B2 - Buchmeiser group, IPOC-MSF

Musso, Janis; Schowner, Roman; Frey, Wolfgang; Buchmeiser, Michael, 2021, "Replication data of Buchmeiser group for: "Cationic Tungsten Imido Alkylidene N-Heterocyclic Carbene Complexes That Contain Bulky Ligands"", https://doi.org/10.18419/DARUS-2176, DaRUS, V1

Neutral and cationic tungsten imido alkylidene complexes of the general formulas W(NtBu)(CHR1)(OR2)Cl(NHC),W(N-2,6-bis(2,4,6-tri-iPr-C6H4)phenyl)(CHR1)Cl2(NHC), [W(NtBu)(CHR1)(OR2)(NHC)][B(ArF)4] and [W(N-2,6-bis(2,4,6-tri-iPr-C6H4)phenyl)(CHR1)Cl(NHC)][B(ArF)4] (R 1 = CMe3, CMe2Ph; R2 = sterically demanding alkoxide; B(ArF)4 =tetrakis(3,5-(CF3)2-C...

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