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 and Technical 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 Architecture (EXC IntCDC)

SFB/Transregio 161 "Quantitative Methods for Visual Computing"

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1 to 10 of 2,375 Results

Data for: Feather keratin in Pavo cristatus: A tentative structure Sep 10, 2024 - AG_BioMat Russ, Peter; Kirchner, Helmut O. K.; Peterlik, Herwig; Weiss, Ingrid M., 2024, "Data for: Feather keratin in Pavo cristatus: A tentative structure", https://doi.org/10.18419/darus-4451, DaRUS, V1, UNF:6:vCDu8eUZUV9CAu6/SSux1A== [fileUNF] Supplementary materials for the scientific study on “Feather keratin in Pavo cristatus: A tentative structure”. The Dataset consists of .pdb files, which contain the 3D data of the building blocks of F-keratin of Pavo, Gallus and Larus. Additionally, the dataset contains the Rama...
Raw Simulation Datasets for Extending Heat Plumes Sep 10, 2024 - Surrogate models for groundwater flow simulations Pelzer, Julia, 2024, "Raw Simulation Datasets for Extending Heat Plumes", https://doi.org/10.18419/darus-4133, DaRUS, V2 These data sets serve as training and testing data for modelling the extension of temperature field emanating from one groundwater heat pump. There are simulated with Pflotran and saved in h5 format. The data set for training is called "dataset_medium_k_3e-10_1000dp". It contains...
Models and Prepared Datasets for LG-CNN Sep 10, 2024 - Surrogate models for groundwater flow simulations Pelzer, Julia, 2024, "Models and Prepared Datasets for LG-CNN", https://doi.org/10.18419/darus-4467, DaRUS, V1 Models trained with Heat Plume Prediction and datasets prepared with Heat Plume Prediction into reasonable format, reduced set of in/outputs, 2D, normalization used to train these models. Last relevant git commit: cae87d68faf96b2bd8dab935. Based on raw data from doi:darus-4156.
Datasets: 100 Heat Pumps, Simulation - Raw, 3+1 Data Points Sep 10, 2024 - Surrogate models for groundwater flow simulations Pelzer, Julia, 2024, "Datasets: 100 Heat Pumps, Simulation - Raw, 3+1 Data Points", https://doi.org/10.18419/darus-4156, DaRUS, V1 This data set serves as training data for modeling the temperature field emanating from several open loop groundwater heat pumps (one hundred heat pumps, randomly placed). It is simulated with Pflotran and saved in h5 format. The data set contains 3 data points, each consisting o...
Replication Data for: Fully guaranteed and computable error bounds on the energy for periodic Kohn-Sham equations with convex density functionals Sep 6, 2024 - Institute of Applied Analysis and Numerical Simulation Bordignon, Andrea; Cances, Eric; Dusson, Geneviève; Kemlin, Gaspard; Lainez Reyes, Rafael; Stamm, Benjamin, 2024, "Replication Data for: Fully guaranteed and computable error bounds on the energy for periodic Kohn-Sham equations with convex density functionals", https://doi.org/10.18419/darus-4469, DaRUS, V1 Data for reproducibility of the numerical simulations of the research paper "Fully guaranteed and computable error bounds on the energy for periodic Kohn-Sham equations with convex density functionals". The .zip file contains everything needed to generate the plots shown in the p...
Data for: A methodological approach to investigate wall curvature effects in spatially evolving boundary layers via direct numerical simulation Sep 6, 2024 - Institute of Aerodynamics and Gas Dynamics Appelbaum, Jason; Kloker, Markus J.; Wenzel, Christoph, 2024, "Data for: A methodological approach to investigate wall curvature effects in spatially evolving boundary layers via direct numerical simulation", https://doi.org/10.18419/darus-4345, DaRUS, V2 Spanwise [z] and temporal [t] averaged turbulent fields of four direct numerical simulations (DNS) of a turbulent boundary layer (TBL) calculated using the code NS3D. Datasets ZPG-C & ZPG-F both have approximately zero pressure gradient along the wall boundary, whereas PG-C & PG-...
Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions Sep 2, 2024 - SFB-TRR 161 A01 "Uncertainty Quantification and Analysis in Visual Computing" Reichmann, Luca; Hägele, David; Weiskopf, Daniel, 2024, "Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions", https://doi.org/10.18419/darus-4441, DaRUS, V1, UNF:6:WoQ4MNffz92VcvZ/qCGL5w== [fileUNF] This dataset contains the supplemental material for "Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions". The contents and usage of this dataset are described in the README.md files.
Model Order Reduction & Numerics(Universität Stuttgart) Aug 29, 2024Institute of Structural Mechanics and Dynamics in Aerospace Engineering
ApHIN - Autoencoder-based port-Hamiltonian Identification Networks (Software Package) Aug 27, 2024 - PN 7-6 Kneifl, Jonas; Rettberg, Johannes; Herb, Julius, 2024, "ApHIN - Autoencoder-based port-Hamiltonian Identification Networks (Software Package)", https://doi.org/10.18419/darus-4446, DaRUS, V1 Software package for data-driven identification of latent port-Hamiltonian systems. Abstract Conventional physics-based modeling techniques involve high effort, e.g.~time and expert knowledge, while data-driven methods often lack interpretability, structure, and sometimes reliabi...
CSI Dataset espargos-0002: Larger combined antenna array, indoor lab room with metal wall, LoS and NLoS areas Aug 27, 2024 - ESPARGOS WiFi Channel State Information Measurements Euchner, Florian; ten Brink, Stephan, 2024, "CSI Dataset espargos-0002: Larger combined antenna array, indoor lab room with metal wall, LoS and NLoS areas", https://doi.org/10.18419/darus-4456, DaRUS, V1 Dataset containing WiFi channel state information (CSI) alongside ground truth data (position tags, timestamps) measured with ESPARGOS antenna arrays. Measurement parameters and machine-readable file format descriptions are provided in a JSON file (spec.json). Four ESPARGOS array...

Data for: Feather keratin in Pavo cristatus: A tentative structure

Sep 10, 2024 - AG_BioMat

Russ, Peter; Kirchner, Helmut O. K.; Peterlik, Herwig; Weiss, Ingrid M., 2024, "Data for: Feather keratin in Pavo cristatus: A tentative structure", https://doi.org/10.18419/darus-4451, DaRUS, V1, UNF:6:vCDu8eUZUV9CAu6/SSux1A== [fileUNF]

Supplementary materials for the scientific study on “Feather keratin in Pavo cristatus: A tentative structure”. The Dataset consists of .pdb files, which contain the 3D data of the building blocks of F-keratin of Pavo, Gallus and Larus. Additionally, the dataset contains the Rama...

Raw Simulation Datasets for Extending Heat Plumes

Sep 10, 2024 - Surrogate models for groundwater flow simulations

Pelzer, Julia, 2024, "Raw Simulation Datasets for Extending Heat Plumes", https://doi.org/10.18419/darus-4133, DaRUS, V2

These data sets serve as training and testing data for modelling the extension of temperature field emanating from one groundwater heat pump. There are simulated with Pflotran and saved in h5 format. The data set for training is called "dataset_medium_k_3e-10_1000dp". It contains...

Models and Prepared Datasets for LG-CNN

Sep 10, 2024 - Surrogate models for groundwater flow simulations

Pelzer, Julia, 2024, "Models and Prepared Datasets for LG-CNN", https://doi.org/10.18419/darus-4467, DaRUS, V1

Models trained with Heat Plume Prediction and datasets prepared with Heat Plume Prediction into reasonable format, reduced set of in/outputs, 2D, normalization used to train these models. Last relevant git commit: cae87d68faf96b2bd8dab935. Based on raw data from doi:darus-4156.

Datasets: 100 Heat Pumps, Simulation - Raw, 3+1 Data Points

Sep 10, 2024 - Surrogate models for groundwater flow simulations

Pelzer, Julia, 2024, "Datasets: 100 Heat Pumps, Simulation - Raw, 3+1 Data Points", https://doi.org/10.18419/darus-4156, DaRUS, V1

This data set serves as training data for modeling the temperature field emanating from several open loop groundwater heat pumps (one hundred heat pumps, randomly placed). It is simulated with Pflotran and saved in h5 format. The data set contains 3 data points, each consisting o...

Replication Data for: Fully guaranteed and computable error bounds on the energy for periodic Kohn-Sham equations with convex density functionals

Sep 6, 2024 - Institute of Applied Analysis and Numerical Simulation

Bordignon, Andrea; Cances, Eric; Dusson, Geneviève; Kemlin, Gaspard; Lainez Reyes, Rafael; Stamm, Benjamin, 2024, "Replication Data for: Fully guaranteed and computable error bounds on the energy for periodic Kohn-Sham equations with convex density functionals", https://doi.org/10.18419/darus-4469, DaRUS, V1

Data for reproducibility of the numerical simulations of the research paper "Fully guaranteed and computable error bounds on the energy for periodic Kohn-Sham equations with convex density functionals". The .zip file contains everything needed to generate the plots shown in the p...

Data for: A methodological approach to investigate wall curvature effects in spatially evolving boundary layers via direct numerical simulation

Sep 6, 2024 - Institute of Aerodynamics and Gas Dynamics

Appelbaum, Jason; Kloker, Markus J.; Wenzel, Christoph, 2024, "Data for: A methodological approach to investigate wall curvature effects in spatially evolving boundary layers via direct numerical simulation", https://doi.org/10.18419/darus-4345, DaRUS, V2

Spanwise [z] and temporal [t] averaged turbulent fields of four direct numerical simulations (DNS) of a turbulent boundary layer (TBL) calculated using the code NS3D. Datasets ZPG-C & ZPG-F both have approximately zero pressure gradient along the wall boundary, whereas PG-C & PG-...

Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions

Sep 2, 2024 - SFB-TRR 161 A01 "Uncertainty Quantification and Analysis in Visual Computing"

Reichmann, Luca; Hägele, David; Weiskopf, Daniel, 2024, "Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions", https://doi.org/10.18419/darus-4441, DaRUS, V1, UNF:6:WoQ4MNffz92VcvZ/qCGL5w== [fileUNF]

This dataset contains the supplemental material for "Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions". The contents and usage of this dataset are described in the README.md files.

Model Order Reduction & Numerics(Universität Stuttgart)

Aug 29, 2024Institute of Structural Mechanics and Dynamics in Aerospace Engineering

ApHIN - Autoencoder-based port-Hamiltonian Identification Networks (Software Package)

Aug 27, 2024 - PN 7-6

Kneifl, Jonas; Rettberg, Johannes; Herb, Julius, 2024, "ApHIN - Autoencoder-based port-Hamiltonian Identification Networks (Software Package)", https://doi.org/10.18419/darus-4446, DaRUS, V1

Software package for data-driven identification of latent port-Hamiltonian systems. Abstract Conventional physics-based modeling techniques involve high effort, e.g.~time and expert knowledge, while data-driven methods often lack interpretability, structure, and sometimes reliabi...

CSI Dataset espargos-0002: Larger combined antenna array, indoor lab room with metal wall, LoS and NLoS areas

Aug 27, 2024 - ESPARGOS WiFi Channel State Information Measurements

Euchner, Florian; ten Brink, Stephan, 2024, "CSI Dataset espargos-0002: Larger combined antenna array, indoor lab room with metal wall, LoS and NLoS areas", https://doi.org/10.18419/darus-4456, DaRUS, V1

Dataset containing WiFi channel state information (CSI) alongside ground truth data (position tags, timestamps) measured with ESPARGOS antenna arrays. Measurement parameters and machine-readable file format descriptions are provided in a JSON file (spec.json). Four ESPARGOS array...

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