1 to 10 of 98 Results
May 27, 2024 - PN 6-4
Munz-Körner, Tanja; Weiskopf, Daniel, 2024, "Visual Analysis System to Explore the Visual Quality of Multidimensional Time Series Projections", https://doi.org/10.18419/darus-3553, DaRUS, V1
Source code of our visual analysis system for the exploration of the visual quality of multidimensional time series projections. This project contains source code for preprocessing data and the visual analysis system. Additionally, we added precomputed data for immediate use in t... |
May 23, 2024 - Institute of Thermodynamics and Thermal Process Engineering
Fleck, Maximilian; Darouich, Samir; Hansen, Niels; Gross, Joachim, 2024, "Replication Data for: Transferable Anisotropic Mie Potential Force Field for Alkanediols", https://doi.org/10.18419/darus-3824, DaRUS, V1
Supplementary material is provided for the Transferable Anisotropic Mie Potential Force Field for Alkanediols, including files for rerunning TURBOMOLE DFT calculations for 1,2-ethanediol and 1,3-propanediol. The dataset includes input files and results for the OCCO and OCCC torsi... |
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... |
Apr 23, 2024 - Simulation input scripts to study Transport of Water In Soft confinemenT (TWIST)
Schlaich, Alexander, 2024, "Replication Data for: Bridging Microscopic Dynamics and Hydraulic Permeability in Mechanically-Deformed Nanoporous Materials", https://doi.org/10.18419/darus-3966, DaRUS, V1
Simulation input scripts used for "Bridging Microscopic Dynamics and Hydraulic Permeability in Mechanically-Deformed Nanoporous Materials" The folders the corresponding simulation and analysis files to setup the simulation systems (SETUP), perform the GCMC/MD simulations (ISOTHER... |
Keim, Leon; Class, Holger, 2024, "Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures", https://doi.org/10.18419/darus-4143, DaRUS, V1
This dataset features both data and code related to the research article titled "Rayleigh Invariance Enables Estimation of Effective CO2 Fluxes Resulting from Convective Dissolution in Water-Filled Fractures." It includes raw data packaged in tarball format, including Python scri... |
Keim, Leon; Class, Holger, 2024, "Replication Code for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures", https://doi.org/10.18419/darus-4089, DaRUS, V1
This dataset consists of software code associated with the publication titled "Rayleigh Invariance Enables Estimation of Effective CO2 Fluxes Resulting from Convective Dissolution in Water-Filled Fractures." It includes a Dockerimage that contains the precompiled code for immedia... |
Höpfl, Sebastian, 2024, "Modeling the sphingolipid rheostat under wild-type and hypomorph Hai1a", https://doi.org/10.18419/darus-3838, DaRUS, V1, UNF:6:az4wbAbWWcIbbLxQh/QPXA== [fileUNF]
This dataset contains the proposed sphingolipid rheostat model with mass-action kinetics and a proposed negative feedback from ceramide to its synthesis from Sphinganine. The model is written in the Systems Biology Markup Language (SBML) and with the experimental data, experiment... |
Apr 9, 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, V1
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... |
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. |
Apr 2, 2024 - Surrogate models for groundwater flow simulations
Pelzer, Julia, 2024, "Models and Prepared Datasets for the Second Stage", https://doi.org/10.18419/darus-3689, DaRUS, V1
Models trained with Heat Plume Prediction and datasets prepared with Heat Plume Prediction into reasonable format + normalization etc, used for training these models. Last relevant git commit: 5d6c5eae5b00e438. Based on raw data from doi:darus-3651 and doi:darus-3652. |
