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 Transformative Architecture (EXC IntCDC)

SFB/Transregio 161 "Quantitative Methods for Visual Computing"

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141 to 150 of 2,114 Results

Data for Confinement-Induced Z-Selectivity in the Rhodium N-Heterocyclic Carbene-Catalyzed Hydroboration of Terminal Alkynes Feb 6, 2026 - SFB 1333 A1+B2 - Buchmeiser group, IPOC-MSF Atwi, Boshra; Wang, Dongren; Bruckner, Johanna R.; Frey, Wolfgang; Buchmeiser, Michael, 2026, "Data for Confinement-Induced Z-Selectivity in the Rhodium N-Heterocyclic Carbene-Catalyzed Hydroboration of Terminal Alkynes", https://doi.org/10.18419/DARUS-5678, DaRUS, V1 The concept of solid catalyst coated with a 1 nm layer of an ionic liquid [BMIM+ BF4-] was employed, resulting in a 22-fold increase in β(Z)-selectivity for Rh(I)- and Rh(III)- complexes based on N- and O-chelating N-heterocyclic carbenes (NHCs). The primary data files for the synthesized ligand and complexes as well as performed catalysis are prov...
Replication Data for: Model Predictive Position Control for Electrically Preloaded Rack-and-Pinion Drives Feb 5, 2026 - 2025_DFG_MPCamZRA Leipe, Valentin, 2026, "Replication Data for: Model Predictive Position Control for Electrically Preloaded Rack-and-Pinion Drives", https://doi.org/10.18419/DARUS-5687, DaRUS, V1 This dataset contains all experimental results presented in the paper "Model Predictive Position Control for Electrically Preloaded Rack-and-Pinion Drives". The paper presents a cascaded model predictive control approach to increase the accuracy and dynamics of an electrically preloaded rack-and-pinion drive. Three different internal models for the...
Experiment Videos on Setpoint Stabilization of Nonholonomic Mobile Robots and Their Formations Using Geometry-Conforming Model Predictive Control Feb 4, 2026 - Institute of Engineering and Computational Mechanics Rosenfelder, Mario; Ebel, Henrik; Eberhard, Peter, 2026, "Experiment Videos on Setpoint Stabilization of Nonholonomic Mobile Robots and Their Formations Using Geometry-Conforming Model Predictive Control", https://doi.org/10.18419/DARUS-5706, DaRUS, V1 The provided videos document experimental results on setpoint stabilization of various wheeled mobile robots and their formations using tailored model predictive control (MPC) schemes. The controllers are formulated at the kinematic level, i.e., they employ kinematic models of the robots to predict their future behavior and use the robots' velociti...
Data models, synthetic procedures, PXRD patterns, and analysis results for "Data-Model-Driven Management and Analysis of MOF Synthesis Data" Feb 3, 2026 - SFB 1333 INF - Pleiss, Hansen, Endo Neubauer, Felix; Endo, Kenichi; Bender, Frederic; Çiftçi, Esengül; Hansen, Niels; Krause, Simon; Uekermann, Benjamin; Pleiss, Jürgen, 2026, "Data models, synthetic procedures, PXRD patterns, and analysis results for "Data-Model-Driven Management and Analysis of MOF Synthesis Data"", https://doi.org/10.18419/DARUS-5695, DaRUS, V1, UNF:6:fIE06pGj2HNCR4EEgN7DIw== [fileUNF] This dataset contains data models, synthesis procedures, PXRD patterns, and analysis results underlying the article “Data-Model-Driven Management and Analysis of MOF Synthesis Data”. It includes a data model for MOF synthesis based on XDL and two example MOF synthesis datasets (Fe–terephthalate MOFs and MOCOF-1) with procedures and experimental pro...
Supplementary data to "Roles of ligand, phosphorylation, and membrane in assembling human β2-adrenergic receptor-β-arrestin complexes" Feb 3, 2026 - PN 3-11 Pluhackova, Kristyna, 2026, "Supplementary data to "Roles of ligand, phosphorylation, and membrane in assembling human β2-adrenergic receptor-β-arrestin complexes"", https://doi.org/10.18419/DARUS-5513, DaRUS, V1 GROMACS simulation files, initial and final snapshots (all atoms) as well as simulation trajectories (proteins, ligands, membrane) of (i) beta-arrestin 2 (barr2) in inactive and active form interacting with a membrane with or without PIP2 lipids, (ii) beta2-adrenergic receptor activated by adrenaline and either phosphorylated on S355 and S356 or no...
Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators" Feb 2, 2026 - Data Analytics in Engineering Herb, Julius; Fritzen, Felix, 2026, "Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators"", https://doi.org/10.18419/DARUS-5686, DaRUS, V1 This repository contains supplemental data for the article Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators, accepted for publication in the International Journal for Numerical Methods in Engineering (IJNME) by Julius Herb and Felix Fritzen [1]. In this publication, we introduce UNO-CG, a hybrid solv...
Data and code for Reproducibility of GPU-Based Large Eddy Simulations for Mixing in Stirred Tank Reactors Feb 2, 2026 - CHOLife_TUHH_LSP_tracking Rautenbach, Ryan; Héctor Maldonado de León; Brorens, Pieter Jan Theodoor; Schlüter, Michael; Haringa, Cees, 2025, "Data and code for Reproducibility of GPU-Based Large Eddy Simulations for Mixing in Stirred Tank Reactors", https://doi.org/10.18419/DARUS-5523, DaRUS, V3, UNF:6:X0gm/Kp+aPC1j+raFpbPvA== [fileUNF] This dataset contains experimental and numerical results supporting a 30 L stirred-tank mixing-time study conducted at the Institute of Multiphase Flows, Hamburg University of Technology (TUHH). It includes raw and processed measurements from laboratory mixing experiments, M-Star LBM-LES simulations, and complementary Fluent CFD runs. The data are...
Replication Data for: "Phenolate- and Alcoholate-Based Chromium N-Heterocyclic Carbene Complexes: Structural Peculiarities, Magnetometric and EPR Study and Catalytic Ethylene Oligomerization" Feb 2, 2026 - SFB 1333 A1+B2 - Buchmeiser group, IPOC-MSF Bhattacharya, Somnath; Allgaier, Alexander; Frey, Wolfgang; van Slageren, Joris; Buchmeiser, Michael, 2026, "Replication Data for: "Phenolate- and Alcoholate-Based Chromium N-Heterocyclic Carbene Complexes: Structural Peculiarities, Magnetometric and EPR Study and Catalytic Ethylene Oligomerization"", https://doi.org/10.18419/DARUS-5689, DaRUS, V1 All primary data files (NMR, GC-MS, Crystal data) associated with this publication, experimental procedures, reaction conditions and used analytical equipment can be found in detail in the experimental section or in the supporting information of the paper. Synthesized ligands (L1-L3) and and polymers (PEs) were characterized via nuclear magnetic re...
Data set for Publication "Revealing the Pseudocapacitance Charge Storage Mechanism of Sulfur-doped Carbon Supercapacitors in Non-Aqueous Electrolyte through in situ EPR" Jan 30, 2026 - IOC, AK Krueger Dataverse Krueger, Anke; Neff, Tobias; Stemmler, Friedrich; van Slageren, Joris; Kolb, Leonhard, 2026, "Data set for Publication "Revealing the Pseudocapacitance Charge Storage Mechanism of Sulfur-doped Carbon Supercapacitors in Non-Aqueous Electrolyte through in situ EPR"", https://doi.org/10.18419/DARUS-5358, DaRUS, V1 This dataset contains the raw data used in the manuscript "Revealing the Pseudocapacitance Charge Storage Mechanism of Sulfur-doped Carbon Supercapacitors in Non-Aqueous Electrolyte through in situ EPR". It contains the recorded Raman and EPR data, the data of the electrochemical characterization of the material and the TEM data files.
Replication Data for: Manipulation of Deformable Linear Objects Using Model Predictive Path Integral Control with Bidirectional Long Short Term Memory Learning Jan 30, 2026 - 2023_DFG_DataCon2 Zeh, Lukas, 2026, "Replication Data for: Manipulation of Deformable Linear Objects Using Model Predictive Path Integral Control with Bidirectional Long Short Term Memory Learning", https://doi.org/10.18419/DARUS-5050, DaRUS, V1 This dataset contains all trainingsdata and model weights which are used within the paper "Manipulation of Deformable Linear Objects Using Model Predictive Path Integral Control with Bidirectional Long Short Term Memory Learning". The manipulation of Deformable Linear Objects (DLOs) such as cables poses a significant challenge for automation due to...

Data for Confinement-Induced Z-Selectivity in the Rhodium N-Heterocyclic Carbene-Catalyzed Hydroboration of Terminal Alkynes

Feb 6, 2026 - SFB 1333 A1+B2 - Buchmeiser group, IPOC-MSF

Atwi, Boshra; Wang, Dongren; Bruckner, Johanna R.; Frey, Wolfgang; Buchmeiser, Michael, 2026, "Data for Confinement-Induced Z-Selectivity in the Rhodium N-Heterocyclic Carbene-Catalyzed Hydroboration of Terminal Alkynes", https://doi.org/10.18419/DARUS-5678, DaRUS, V1

The concept of solid catalyst coated with a 1 nm layer of an ionic liquid [BMIM+ BF4-] was employed, resulting in a 22-fold increase in β(Z)-selectivity for Rh(I)- and Rh(III)- complexes based on N- and O-chelating N-heterocyclic carbenes (NHCs). The primary data files for the synthesized ligand and complexes as well as performed catalysis are prov...

Replication Data for: Model Predictive Position Control for Electrically Preloaded Rack-and-Pinion Drives

Feb 5, 2026 - 2025_DFG_MPCamZRA

Leipe, Valentin, 2026, "Replication Data for: Model Predictive Position Control for Electrically Preloaded Rack-and-Pinion Drives", https://doi.org/10.18419/DARUS-5687, DaRUS, V1

This dataset contains all experimental results presented in the paper "Model Predictive Position Control for Electrically Preloaded Rack-and-Pinion Drives". The paper presents a cascaded model predictive control approach to increase the accuracy and dynamics of an electrically preloaded rack-and-pinion drive. Three different internal models for the...

Experiment Videos on Setpoint Stabilization of Nonholonomic Mobile Robots and Their Formations Using Geometry-Conforming Model Predictive Control

Feb 4, 2026 - Institute of Engineering and Computational Mechanics

Rosenfelder, Mario; Ebel, Henrik; Eberhard, Peter, 2026, "Experiment Videos on Setpoint Stabilization of Nonholonomic Mobile Robots and Their Formations Using Geometry-Conforming Model Predictive Control", https://doi.org/10.18419/DARUS-5706, DaRUS, V1

The provided videos document experimental results on setpoint stabilization of various wheeled mobile robots and their formations using tailored model predictive control (MPC) schemes. The controllers are formulated at the kinematic level, i.e., they employ kinematic models of the robots to predict their future behavior and use the robots' velociti...

Data models, synthetic procedures, PXRD patterns, and analysis results for "Data-Model-Driven Management and Analysis of MOF Synthesis Data"

Feb 3, 2026 - SFB 1333 INF - Pleiss, Hansen, Endo

Neubauer, Felix; Endo, Kenichi; Bender, Frederic; Çiftçi, Esengül; Hansen, Niels; Krause, Simon; Uekermann, Benjamin; Pleiss, Jürgen, 2026, "Data models, synthetic procedures, PXRD patterns, and analysis results for "Data-Model-Driven Management and Analysis of MOF Synthesis Data"", https://doi.org/10.18419/DARUS-5695, DaRUS, V1, UNF:6:fIE06pGj2HNCR4EEgN7DIw== [fileUNF]

This dataset contains data models, synthesis procedures, PXRD patterns, and analysis results underlying the article “Data-Model-Driven Management and Analysis of MOF Synthesis Data”. It includes a data model for MOF synthesis based on XDL and two example MOF synthesis datasets (Fe–terephthalate MOFs and MOCOF-1) with procedures and experimental pro...

Supplementary data to "Roles of ligand, phosphorylation, and membrane in assembling human β2-adrenergic receptor-β-arrestin complexes"

Feb 3, 2026 - PN 3-11

Pluhackova, Kristyna, 2026, "Supplementary data to "Roles of ligand, phosphorylation, and membrane in assembling human β2-adrenergic receptor-β-arrestin complexes"", https://doi.org/10.18419/DARUS-5513, DaRUS, V1

GROMACS simulation files, initial and final snapshots (all atoms) as well as simulation trajectories (proteins, ligands, membrane) of (i) beta-arrestin 2 (barr2) in inactive and active form interacting with a membrane with or without PIP2 lipids, (ii) beta2-adrenergic receptor activated by adrenaline and either phosphorylated on S355 and S356 or no...

Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators"

Feb 2, 2026 - Data Analytics in Engineering

Herb, Julius; Fritzen, Felix, 2026, "Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators"", https://doi.org/10.18419/DARUS-5686, DaRUS, V1

This repository contains supplemental data for the article Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators, accepted for publication in the International Journal for Numerical Methods in Engineering (IJNME) by Julius Herb and Felix Fritzen [1]. In this publication, we introduce UNO-CG, a hybrid solv...

Data and code for Reproducibility of GPU-Based Large Eddy Simulations for Mixing in Stirred Tank Reactors

Feb 2, 2026 - CHOLife_TUHH_LSP_tracking

Rautenbach, Ryan; Héctor Maldonado de León; Brorens, Pieter Jan Theodoor; Schlüter, Michael; Haringa, Cees, 2025, "Data and code for Reproducibility of GPU-Based Large Eddy Simulations for Mixing in Stirred Tank Reactors", https://doi.org/10.18419/DARUS-5523, DaRUS, V3, UNF:6:X0gm/Kp+aPC1j+raFpbPvA== [fileUNF]

This dataset contains experimental and numerical results supporting a 30 L stirred-tank mixing-time study conducted at the Institute of Multiphase Flows, Hamburg University of Technology (TUHH). It includes raw and processed measurements from laboratory mixing experiments, M-Star LBM-LES simulations, and complementary Fluent CFD runs. The data are...

Replication Data for: "Phenolate- and Alcoholate-Based Chromium N-Heterocyclic Carbene Complexes: Structural Peculiarities, Magnetometric and EPR Study and Catalytic Ethylene Oligomerization"

Feb 2, 2026 - SFB 1333 A1+B2 - Buchmeiser group, IPOC-MSF

Bhattacharya, Somnath; Allgaier, Alexander; Frey, Wolfgang; van Slageren, Joris; Buchmeiser, Michael, 2026, "Replication Data for: "Phenolate- and Alcoholate-Based Chromium N-Heterocyclic Carbene Complexes: Structural Peculiarities, Magnetometric and EPR Study and Catalytic Ethylene Oligomerization"", https://doi.org/10.18419/DARUS-5689, DaRUS, V1

All primary data files (NMR, GC-MS, Crystal data) associated with this publication, experimental procedures, reaction conditions and used analytical equipment can be found in detail in the experimental section or in the supporting information of the paper. Synthesized ligands (L1-L3) and and polymers (PEs) were characterized via nuclear magnetic re...

Data set for Publication "Revealing the Pseudocapacitance Charge Storage Mechanism of Sulfur-doped Carbon Supercapacitors in Non-Aqueous Electrolyte through in situ EPR"

Jan 30, 2026 - IOC, AK Krueger Dataverse

Krueger, Anke; Neff, Tobias; Stemmler, Friedrich; van Slageren, Joris; Kolb, Leonhard, 2026, "Data set for Publication "Revealing the Pseudocapacitance Charge Storage Mechanism of Sulfur-doped Carbon Supercapacitors in Non-Aqueous Electrolyte through in situ EPR"", https://doi.org/10.18419/DARUS-5358, DaRUS, V1

This dataset contains the raw data used in the manuscript "Revealing the Pseudocapacitance Charge Storage Mechanism of Sulfur-doped Carbon Supercapacitors in Non-Aqueous Electrolyte through in situ EPR". It contains the recorded Raman and EPR data, the data of the electrochemical characterization of the material and the TEM data files.

Replication Data for: Manipulation of Deformable Linear Objects Using Model Predictive Path Integral Control with Bidirectional Long Short Term Memory Learning

Jan 30, 2026 - 2023_DFG_DataCon2

Zeh, Lukas, 2026, "Replication Data for: Manipulation of Deformable Linear Objects Using Model Predictive Path Integral Control with Bidirectional Long Short Term Memory Learning", https://doi.org/10.18419/DARUS-5050, DaRUS, V1

This dataset contains all trainingsdata and model weights which are used within the paper "Manipulation of Deformable Linear Objects Using Model Predictive Path Integral Control with Bidirectional Long Short Term Memory Learning". The manipulation of Deformable Linear Objects (DLOs) such as cables poses a significant challenge for automation due to...

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