DaRUS

Metrics

1,370,303 Downloads

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Author Affiliation: Universität Stuttgart Subject: Mathematical Sciences

1 to 10 of 68 Results

Replication Code for: Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data Jun 6, 2024 - Projects without PN Affiliation Herkert, Robin, 2024, "Replication Code for: Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data", https://doi.org/10.18419/darus-4227, DaRUS, V1 This dataset includes the code to reproduce the results from the paper titled "Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data". In this paper we address the challenging application of 3D pore scale reactive flow under va...
Replication Code for: Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems May 22, 2024 - Projects without PN Affiliation Herkert, Robin, 2024, "Replication Code for: Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems", https://doi.org/10.18419/darus-4185, DaRUS, V1 This dataset includes the code to reproduce the results from the paper titled "Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems". In this paper randomized symplectic basis generation techniques are introduced. The numerical experiments where e...
Bayesian Modeling of Time Series Data (BayModTS) Apr 8, 2024 - Mathematical modeling and simulation of cellular systems Höpfl, Sebastian, 2024, "Bayesian Modeling of Time Series Data (BayModTS)", https://doi.org/10.18419/darus-3876, DaRUS, V1 BayModTS is a FAIR workflow for processing highly variable and sparse data. The code and results of the examples in the BayModTS paper are stored in this repository. A maintained version of BayModTS that can be applied to your personal applications can be found on Git Hub.
Benchmarking in subsurface hydrological inversion: high-fidelity reference solution and EnKF replication data Mar 25, 2024 - Geostatistical Inversion Xu, Teng, 2024, "Benchmarking in subsurface hydrological inversion: high-fidelity reference solution and EnKF replication data", https://doi.org/10.18419/darus-2382, DaRUS, V1, UNF:6:vW5NY5+W7Wy1GtNndUOs3Q== [fileUNF] Description: Dataset published with the paper "Towards a community-wide effort for benchmarking in subsurface hydrological inversion: benchmarking cases, high-fidelity reference solutions, procedure and a first comparison". You can use these data to generate the comparisons betwe...
Percentile Intervals in Bayesian Inference are Overconfident Mar 19, 2024 - Institute for Stochastics and Applications Höpfl, Sebastian, 2024, "Percentile Intervals in Bayesian Inference are Overconfident", https://doi.org/10.18419/darus-4068, DaRUS, V1 This dataset demonstrates the difference in calculating percentile Intervals as approximation for Highest Density Intervals (HDI) vs. Highest Posterior Density (HPD). This is demonstrated with extended partial liver resection data (ZeLeR-study, ethical vote: 2018-1246-Material)....
Replication Data for: On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data Mar 14, 2024 - PN 6A-4 Alvarez Chaves, Manuel; Gupta, Hoshin; Ehret, Uwe; Guthke, Anneli, 2024, "Replication Data for: On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data", https://doi.org/10.18419/darus-4087, DaRUS, V1 Non-Parametric Estimation in Information Theory 1. Introduction This is a repository for our paper on: "On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data". The projects is organizes as follows: ├── analysis_results\ │ ├── plots\ ├...
Supplementary material for `Dynamic renormalization of scalar active field theories` Mar 11, 2024 - Institute for Theoretical Physics IV Speck, Thomas; Papanikolaou, Nikos, 2024, "Supplementary material for `Dynamic renormalization of scalar active field theories`", https://doi.org/10.18419/darus-4073, DaRUS, V1 The following folders have Jupyter notebook files that are used to obtain the results we present in Section I.1, I.2, III.B, III.C, IV.A and IV.B and Appendix C and D and Figures 9, 10, 11, 13. To calculate the graphical corrections we extensively use the Python package ``restflo...
Replication Data for: "ddX: Polarizable Continuum Solvation from Small Molecules to Proteins" Feb 26, 2024 - Institute of Applied Analysis and Numerical Simulation Nottoli, Michele; Herbst, Michael F.; Mikhalev, Aleksandr; Jha, Abhinav; Lipparini, Filippo; Stamm, Benjamin, 2024, "Replication Data for: "ddX: Polarizable Continuum Solvation from Small Molecules to Proteins"", https://doi.org/10.18419/darus-4030, DaRUS, V1 Data for reproducibility of the numerical simulations of the research paper "ddX: Polarizable Continuum Solvation from Small Molecules to Proteins".
Source code and Numerical Examples for Decomposed Quasiconvex Optimization with Application to Generalized Cone Problems Feb 26, 2024 - Institute of Flight Mechanics and Controls Cunis, Torbjørn, 2024, "Source code and Numerical Examples for Decomposed Quasiconvex Optimization with Application to Generalized Cone Problems", https://doi.org/10.18419/darus-4024, DaRUS, V1 This dataset contains source code and numerical examples for quasiconvex sum-of-squares problems via decomposed optimization.
Results for Stokes-Darcy mortar method Feb 22, 2024 - A02: Advanced modelling concepts for coupling free flow with porous-media flow Gläser, Dennis, 2024, "Results for Stokes-Darcy mortar method", https://doi.org/10.18419/darus-3599, DaRUS, V1 This dataset contains the results of the examples shown in the publication #TODO: add doi once accepted#. The first one investigates the orders of convergence with respect to the mesh size for different element types, as well as the efficiency of the interface preconditioner. The...

Replication Code for: Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data

Jun 6, 2024 - Projects without PN Affiliation

Herkert, Robin, 2024, "Replication Code for: Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data", https://doi.org/10.18419/darus-4227, DaRUS, V1

This dataset includes the code to reproduce the results from the paper titled "Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data". In this paper we address the challenging application of 3D pore scale reactive flow under va...

Replication Code for: Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems

May 22, 2024 - Projects without PN Affiliation

Herkert, Robin, 2024, "Replication Code for: Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems", https://doi.org/10.18419/darus-4185, DaRUS, V1

This dataset includes the code to reproduce the results from the paper titled "Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems". In this paper randomized symplectic basis generation techniques are introduced. The numerical experiments where e...

Bayesian Modeling of Time Series Data (BayModTS)

Apr 8, 2024 - Mathematical modeling and simulation of cellular systems

Höpfl, Sebastian, 2024, "Bayesian Modeling of Time Series Data (BayModTS)", https://doi.org/10.18419/darus-3876, DaRUS, V1

BayModTS is a FAIR workflow for processing highly variable and sparse data. The code and results of the examples in the BayModTS paper are stored in this repository. A maintained version of BayModTS that can be applied to your personal applications can be found on Git Hub.

Benchmarking in subsurface hydrological inversion: high-fidelity reference solution and EnKF replication data

Mar 25, 2024 - Geostatistical Inversion

Xu, Teng, 2024, "Benchmarking in subsurface hydrological inversion: high-fidelity reference solution and EnKF replication data", https://doi.org/10.18419/darus-2382, DaRUS, V1, UNF:6:vW5NY5+W7Wy1GtNndUOs3Q== [fileUNF]

Description: Dataset published with the paper "Towards a community-wide effort for benchmarking in subsurface hydrological inversion: benchmarking cases, high-fidelity reference solutions, procedure and a first comparison". You can use these data to generate the comparisons betwe...

Percentile Intervals in Bayesian Inference are Overconfident

Mar 19, 2024 - Institute for Stochastics and Applications

Höpfl, Sebastian, 2024, "Percentile Intervals in Bayesian Inference are Overconfident", https://doi.org/10.18419/darus-4068, DaRUS, V1

This dataset demonstrates the difference in calculating percentile Intervals as approximation for Highest Density Intervals (HDI) vs. Highest Posterior Density (HPD). This is demonstrated with extended partial liver resection data (ZeLeR-study, ethical vote: 2018-1246-Material)....

Replication Data for: On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data

Mar 14, 2024 - PN 6A-4

Alvarez Chaves, Manuel; Gupta, Hoshin; Ehret, Uwe; Guthke, Anneli, 2024, "Replication Data for: On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data", https://doi.org/10.18419/darus-4087, DaRUS, V1

Non-Parametric Estimation in Information Theory 1. Introduction This is a repository for our paper on: "On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data". The projects is organizes as follows: ├── analysis_results\ │ ├── plots\ ├...

Supplementary material for `Dynamic renormalization of scalar active field theories`

Mar 11, 2024 - Institute for Theoretical Physics IV

Speck, Thomas; Papanikolaou, Nikos, 2024, "Supplementary material for `Dynamic renormalization of scalar active field theories`", https://doi.org/10.18419/darus-4073, DaRUS, V1

The following folders have Jupyter notebook files that are used to obtain the results we present in Section I.1, I.2, III.B, III.C, IV.A and IV.B and Appendix C and D and Figures 9, 10, 11, 13. To calculate the graphical corrections we extensively use the Python package ``restflo...

Replication Data for: "ddX: Polarizable Continuum Solvation from Small Molecules to Proteins"

Feb 26, 2024 - Institute of Applied Analysis and Numerical Simulation

Nottoli, Michele; Herbst, Michael F.; Mikhalev, Aleksandr; Jha, Abhinav; Lipparini, Filippo; Stamm, Benjamin, 2024, "Replication Data for: "ddX: Polarizable Continuum Solvation from Small Molecules to Proteins"", https://doi.org/10.18419/darus-4030, DaRUS, V1

Data for reproducibility of the numerical simulations of the research paper "ddX: Polarizable Continuum Solvation from Small Molecules to Proteins".

Source code and Numerical Examples for Decomposed Quasiconvex Optimization with Application to Generalized Cone Problems

Feb 26, 2024 - Institute of Flight Mechanics and Controls

Cunis, Torbjørn, 2024, "Source code and Numerical Examples for Decomposed Quasiconvex Optimization with Application to Generalized Cone Problems", https://doi.org/10.18419/darus-4024, DaRUS, V1

This dataset contains source code and numerical examples for quasiconvex sum-of-squares problems via decomposed optimization.

Results for Stokes-Darcy mortar method

Feb 22, 2024 - A02: Advanced modelling concepts for coupling free flow with porous-media flow

Gläser, Dennis, 2024, "Results for Stokes-Darcy mortar method", https://doi.org/10.18419/darus-3599, DaRUS, V1

This dataset contains the results of the examples shown in the publication #TODO: add doi once accepted#. The first one investigates the orders of convergence with respect to the mesh size for different element types, as well as the efficiency of the interface preconditioner. The...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications