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.

Advanced Search

1 to 10 of 19 Results
Sep 4, 2026
Hoßbach, Julian; Tovey, Samuel; Kuppel, Sandro; Ensslen, Tobias; Behrends, Jan; Holm, Christian, 2026, "Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"", https://doi.org/10.18419/DARUS-5740, DaRUS, V2
This dataset contains all scripts required to replicate the results of our paper "Deep Learning-Driven Peptide Classification in Biological Nanopores". Data can be obtained through the corresponding author.
Aug 3, 2026
Drotleff, Jannik; Tovey, Samuel; Hohenberger, Paul; Lohrmann, Christoph; Hoßbach, Julian; Nikolaou, Konstantin; Holm, Christian, 2026, "Replication Data for: "Reinforcement Learning Enables Autonomous Microrobot Navigation and Intervention in Simulated Blood Capillaries"", https://doi.org/10.18419/DARUS-6350, DaRUS, V1
This dataset contains all scripts and files to replicate the results of our paper "Reinforcement Learning Enables Autonomous Microrobot Navigation and Intervention in Simulated Blood Capillaries". It includes simulation data, analysis outputs, and precomputed results. The files are organized by workflow stage: field generation, training, deployment...
Jun 3, 2026
Grad, Jean-Noël; Tischler, Ingo; Reinauer, Alexander; Kobayashi, Hideki; Kuron, Michael; Hennig, Frederik; Holzer, Markus; Santos Neves, Pedro Miguel; Kamath, Satish Santhosh; Holm, Christian; Weeber, Rudolf, 2026, "Replication Data for: Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions", https://doi.org/10.18419/DARUS-5827, DaRUS, V2, UNF:6:hKxT8PVDSE8OaAEZRK6tuQ== [fileUNF]
Build scripts, benchmark scripts, raw data, and analysis scripts accompanying the manuscript "Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions".
May 27, 2026
Nikolaou, Konstantin; Scheunemann, Jonas; Krippendorf, Sven; Tovey, Samuel; Holm, Christian, 2026, "Replication Data and Scripts for: "Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail"", https://doi.org/10.18419/DARUS-5947, DaRUS, V1
The scripts and data provided here are for reproducing the results and plots of "Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail". Conceptually, we introduce a framework for efficiently measuring the overlap between the empirical Neural Tangent Kernel (eNTK) and loss residuals, and demonstrate how spectral reach (the...
Feb 24, 2026
Reinauer, Alexander; Kondrat, Svyatoslav; Holm, Christian, 2026, "Replication Data and Scripts for: Asymmetric Ionic Liquids for Enhanced Performance of Nanoporous Electrical Double Layer Capacitors", https://doi.org/10.18419/DARUS-5537, DaRUS, V1, UNF:6:QYhsar9LPd25HIHyXs7iGg== [fileUNF]
Simulation data and scripts accompanying the paper "Asymmetric Ionic Liquids for Enhanced Performance of Nanoporous Electrical Double Layer Capacitors". This dataset contains videos, plot_data and the scripts from MD-Simulations of asymmetric ionic liquid models in a plate-capacitor. For details about the files, please refer to the README.
Feb 9, 2026
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)
Dec 2, 2025
Fellner, Tobias; Kreplin, David; Tovey, Samuel; Holm, Christian, 2025, "Replication Data and Scripts for: Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning", https://doi.org/10.18419/DARUS-5559, DaRUS, V1, UNF:6:/KCneqwPSHA/bOwlAibpVQ== [fileUNF]
The data and scripts provided here are for reproducing the results of "Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning" Mach. Learn.: Sci. Technol. 7 010501 (2026) (doi: 10.1088/2632-2153/ae365f). See the README.md file for details and instructions.
Oct 28, 2025
Reinauer, Alexander; Oberer, Louis; Schlaich, Alexander; Holm, Christian, 2025, "Replication Data and Scripts for: A lattice Boltzmann approach for modeling coupled evaporation/precipitation processes in porous media", https://doi.org/10.18419/DARUS-5389, DaRUS, V1
Simulation data and scripts accompanying the paper "A lattice Boltzmann approach for modeling coupled evaporation/precipitation processes in porous media". This dataset contains videos, the corresponding data as well as the scripts from evaporation-induced precipitation simulations in model porous media using the lattice Boltzmann method. For detai...
Jul 25, 2025
Tovey, Samuel; Nikolaou, Konstantin; Krippendorf, Sven; Holm, Christian; Spannowsky, Michael, 2025, "Replication Scripts for: "Collective variables of neural networks: empirical time evolution and scaling laws"", https://doi.org/10.18419/DARUS-5175, DaRUS, V1
The scripts provided here are for reproducing the results and plots of "Collective variables of neural networks: empirical time evolution and scaling laws" (https://doi.org/10.1088/2632-2153/adee76)
Jan 30, 2025
Fellner, Tobias; Tovey, Samuel; Holm, Christian; Spannowsky, Michael, 2025, "Replication Scripts for: "Generating Quantum Reservoir State Representations with Random Matrices"", https://doi.org/10.18419/DARUS-4742, DaRUS, V1, UNF:6:nD61gsDlXntC4Nuq53H6kQ== [fileUNF]
The scripts provided here are for reproducing the results of "Generating Quantum Reservoir State Representations with Random Matrices" (https://doi.org/10.48550/arXiv.2404.07278). See the README.md file for details and instructions.
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.