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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 2,121 Results

Atmospheric transmission models for FIFI-LS: altitude 35kft, 39deg O3 Feb 11, 2026 - SOFIA Astronomy Data SOFIA Data Center, 2026, "Atmospheric transmission models for FIFI-LS: altitude 35kft, 39deg O3", https://doi.org/10.18419/DARUS-5705, DaRUS, V1 This dataset contains atmospheric transmission models calculated by a modified version of ATRAN ("SDC ATRAN"). They are to be used as the default models for FIFI-LS data reduction with SOFIA Redux The models are generated from a modified "SDC ATRAN" model based on Steve Lord's ATRAN. The most significant modification is a correction of 17O16O isoto...
Data for: "Engine-Airframe Integration - From Froude Theorem to Numerical Flow Simulation" Feb 10, 2026 - SynTrac_B04 Hartmann, Jan; Staudacher, Stephan, 2026, "Data for: "Engine-Airframe Integration - From Froude Theorem to Numerical Flow Simulation"", https://doi.org/10.18419/DARUS-5556, DaRUS, V1, UNF:6:YpO3RfdVI9xyG5ffhdDCDw== [fileUNF] This dataset contains the data of the intake maps for the underwing intake and the bli intake. The data corresponds to figure 9 of the manuscript. The intake maps are determined with the simulation software OpenFOAM. The results are given for the individual Mach numbers as the total pressure ratio over the non-dimensional mass flow parameter. The r...
Replication Data for: Time-Optimal Feedrate Planning for Real-Time CNC Machining via Transformation Between Parametric and Time Spaces Feb 10, 2026 - 2022_ICM_NWG_Greybox_Modelling Xu, Haijia, 2026, "Replication Data for: Time-Optimal Feedrate Planning for Real-Time CNC Machining via Transformation Between Parametric and Time Spaces", https://doi.org/10.18419/DARUS-4746, DaRUS, V1 Simulation and experimental dataset for feedrate optimization algorithm validated on the KUKA KR210 robot and an industrial milling machine. This dataset belongs to the publication "Time-optimal feedrate planning for real-time CNC machining via transformation between parametric and time spaces" (doi: 10.1016/j.jmapro.2026.01.016) A detailed descrip...
Replication Data and Scripts for: "Beyond Scaling Curves: Internal Dynamics of Neural Networks Through the NTK Lens" Feb 9, 2026 - Holm group Nikolaou, Konstantin; Tovey, Samuel; Krippendorf, Sven; Holm, Christian, 2026, "Replication Data and Scripts for: "Beyond Scaling Curves: Internal Dynamics of Neural Networks Through the NTK Lens"", https://doi.org/10.18419/DARUS-5717, DaRUS, V1 The scripts provided here are for reproducing the results and plots of "Beyond Scaling Curves: Internal Dynamics of Neural Networks Through the NTK Lens" (https://doi.org/10.48550/arXiv.2507.05035)
Replication Data for: Dynamic Optimisation Of Façade-integrated Solar Cooling Elements: Adsorption Cooling Versus Photovoltaic Scenarios Feb 9, 2026 - SFB 1244 "Adaptive skins and structures for the built environment of tomorrow" Weber, Simon Oskar; Leistner, Philip, 2026, "Replication Data for: Dynamic Optimisation Of Façade-integrated Solar Cooling Elements: Adsorption Cooling Versus Photovoltaic Scenarios", https://doi.org/10.18419/DARUS-5666, DaRUS, V2, UNF:6:DSAIMve8Jy4oO8UVB/+WsQ== [fileUNF] This dataset contains: Python and Modelica code to reproduce the system models, dynamic optimization problems, to fit the fluid and working pair properties as well as to generate the result data and figures the raw and result data the figures within the publication
Replication Data for: A Deep-Learning Based Incidence Operator for Adjustable and Solver-Agnostic Modelling of Adaptive Façades Feb 9, 2026 - SFB 1244 "Adaptive skins and structures for the built environment of tomorrow" Seddik, Moustafa; Weber, Simon Oskar; Leistner, Philip, 2025, "Replication Data for: A Deep-Learning Based Incidence Operator for Adjustable and Solver-Agnostic Modelling of Adaptive Façades", https://doi.org/10.18419/DARUS-5569, DaRUS, V2 This dataset contains the files: - code: All Python files to replicate result data, figure and table generation. - data/raw: The training data including all investigated feature sets as well as the target. The training data for the incidence operator (y) were generated using the Grasshopper file and the plugins presented in the study (https://doi.o...
Supplementary Material for "Efficient Prediction of Multicomponent Adsorption Isotherms and Enthalpies of Adsorption in MOFs Using Classical Density Functional Theory" Feb 6, 2026 - Institute of Thermodynamics and Thermal Process Engineering Thiele, Nadine; Teh, Tiong Wei; Bursik, Benjamin; Granderath, Marcel; Bauer, Gernot; Dufour Decieux, Vincent; Rehner, Philipp; Stierle, Rolf; Bardow, André; Hansen, Niels; Gross, Joachim, 2026, "Supplementary Material for "Efficient Prediction of Multicomponent Adsorption Isotherms and Enthalpies of Adsorption in MOFs Using Classical Density Functional Theory"", https://doi.org/10.18419/DARUS-5542, DaRUS, V1, UNF:6:91/NvbrgfC8ZSXHkr4Cauw== [fileUNF] The data that support the findings of the article "Efficient Prediction of Multicomponent Adsorption Isotherms and Enthalpies of Adsorption in MOFs using Classical Density Functional Theory". The dataset includes all adsorption data obtained from molecular simulations and from classical DFT calculations ("data"), as well as the force field paramete...
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...

Atmospheric transmission models for FIFI-LS: altitude 35kft, 39deg O3

Feb 11, 2026 - SOFIA Astronomy Data

SOFIA Data Center, 2026, "Atmospheric transmission models for FIFI-LS: altitude 35kft, 39deg O3", https://doi.org/10.18419/DARUS-5705, DaRUS, V1

This dataset contains atmospheric transmission models calculated by a modified version of ATRAN ("SDC ATRAN"). They are to be used as the default models for FIFI-LS data reduction with SOFIA Redux The models are generated from a modified "SDC ATRAN" model based on Steve Lord's ATRAN. The most significant modification is a correction of 17O16O isoto...

Data for: "Engine-Airframe Integration - From Froude Theorem to Numerical Flow Simulation"

Feb 10, 2026 - SynTrac_B04

Hartmann, Jan; Staudacher, Stephan, 2026, "Data for: "Engine-Airframe Integration - From Froude Theorem to Numerical Flow Simulation"", https://doi.org/10.18419/DARUS-5556, DaRUS, V1, UNF:6:YpO3RfdVI9xyG5ffhdDCDw== [fileUNF]

This dataset contains the data of the intake maps for the underwing intake and the bli intake. The data corresponds to figure 9 of the manuscript. The intake maps are determined with the simulation software OpenFOAM. The results are given for the individual Mach numbers as the total pressure ratio over the non-dimensional mass flow parameter. The r...

Replication Data for: Time-Optimal Feedrate Planning for Real-Time CNC Machining via Transformation Between Parametric and Time Spaces

Feb 10, 2026 - 2022_ICM_NWG_Greybox_Modelling

Xu, Haijia, 2026, "Replication Data for: Time-Optimal Feedrate Planning for Real-Time CNC Machining via Transformation Between Parametric and Time Spaces", https://doi.org/10.18419/DARUS-4746, DaRUS, V1

Simulation and experimental dataset for feedrate optimization algorithm validated on the KUKA KR210 robot and an industrial milling machine. This dataset belongs to the publication "Time-optimal feedrate planning for real-time CNC machining via transformation between parametric and time spaces" (doi: 10.1016/j.jmapro.2026.01.016) A detailed descrip...

Replication Data and Scripts for: "Beyond Scaling Curves: Internal Dynamics of Neural Networks Through the NTK Lens"

Feb 9, 2026 - Holm group

Nikolaou, Konstantin; Tovey, Samuel; Krippendorf, Sven; Holm, Christian, 2026, "Replication Data and Scripts for: "Beyond Scaling Curves: Internal Dynamics of Neural Networks Through the NTK Lens"", https://doi.org/10.18419/DARUS-5717, DaRUS, V1

The scripts provided here are for reproducing the results and plots of "Beyond Scaling Curves: Internal Dynamics of Neural Networks Through the NTK Lens" (https://doi.org/10.48550/arXiv.2507.05035)

Replication Data for: Dynamic Optimisation Of Façade-integrated Solar Cooling Elements: Adsorption Cooling Versus Photovoltaic Scenarios

Feb 9, 2026 - SFB 1244 "Adaptive skins and structures for the built environment of tomorrow"

Weber, Simon Oskar; Leistner, Philip, 2026, "Replication Data for: Dynamic Optimisation Of Façade-integrated Solar Cooling Elements: Adsorption Cooling Versus Photovoltaic Scenarios", https://doi.org/10.18419/DARUS-5666, DaRUS, V2, UNF:6:DSAIMve8Jy4oO8UVB/+WsQ== [fileUNF]

This dataset contains: Python and Modelica code to reproduce the system models, dynamic optimization problems, to fit the fluid and working pair properties as well as to generate the result data and figures the raw and result data the figures within the publication

Replication Data for: A Deep-Learning Based Incidence Operator for Adjustable and Solver-Agnostic Modelling of Adaptive Façades

Feb 9, 2026 - SFB 1244 "Adaptive skins and structures for the built environment of tomorrow"

Seddik, Moustafa; Weber, Simon Oskar; Leistner, Philip, 2025, "Replication Data for: A Deep-Learning Based Incidence Operator for Adjustable and Solver-Agnostic Modelling of Adaptive Façades", https://doi.org/10.18419/DARUS-5569, DaRUS, V2

This dataset contains the files: - code: All Python files to replicate result data, figure and table generation. - data/raw: The training data including all investigated feature sets as well as the target. The training data for the incidence operator (y) were generated using the Grasshopper file and the plugins presented in the study (https://doi.o...

Supplementary Material for "Efficient Prediction of Multicomponent Adsorption Isotherms and Enthalpies of Adsorption in MOFs Using Classical Density Functional Theory"

Feb 6, 2026 - Institute of Thermodynamics and Thermal Process Engineering

Thiele, Nadine; Teh, Tiong Wei; Bursik, Benjamin; Granderath, Marcel; Bauer, Gernot; Dufour Decieux, Vincent; Rehner, Philipp; Stierle, Rolf; Bardow, André; Hansen, Niels; Gross, Joachim, 2026, "Supplementary Material for "Efficient Prediction of Multicomponent Adsorption Isotherms and Enthalpies of Adsorption in MOFs Using Classical Density Functional Theory"", https://doi.org/10.18419/DARUS-5542, DaRUS, V1, UNF:6:91/NvbrgfC8ZSXHkr4Cauw== [fileUNF]

The data that support the findings of the article "Efficient Prediction of Multicomponent Adsorption Isotherms and Enthalpies of Adsorption in MOFs using Classical Density Functional Theory". The dataset includes all adsorption data obtained from molecular simulations and from classical DFT calculations ("data"), as well as the force field paramete...

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...

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