21 to 30 of 130 Results
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, V2
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 scripts used to derive the results presented in the publication. High-reso... |
Jan 10, 2025 - Institute for Structural Mechanics
Willmann, Tobias; Schilling, Maximilian; Bischoff, Manfred, 2025, "Python implementation of data-based estimation of critical time steps for explicit time integration", https://doi.org/10.18419/DARUS-4558, DaRUS, V1
This is a demo for the manuscript 'Data-based estimation of critical time steps for explicit time integration' that demonstrates data-driven approaches for 2D-element time step estimation as described in the manuscript. It includes all data sets and code used in the preparation of this manuscript. This includes all resources required for the genera... |
Dec 20, 2024 - Publication: A novel geometry-informed drag term formulation for pseudo-3D Stokes simulations with varying apertures
Krach, David; Weinhardt, Felix; Wang, Mingfeng; Schneider, Martin; Class, Holger; Steeb, Holger, 2024, "Code and benchmarks for geometry-informed drag term computation for pseudo-3D Stokes simulations with varying apertures", https://doi.org/10.18419/DARUS-4313, DaRUS, V2
Content: This data set includes snapshots of the code used to compute the benchmarks and applications in Krach et al.(2024). All software tools provided enable the user to perform pseudo-3D Stokes simulations with a geometry-informed drag term using DuMux and to determine permeability, volumetric flux as well as local pressure and velocity fields f... |
Dec 19, 2024 - Modelling
Spindler, Jan; Giakissiklis, Christina; Stierle, Catharina; Buschlüter, Marc; Liebeton, Klaus; Siemann-Herzberg, Martin; Takors, Ralf, 2024, "Data for: Mechanistic Modeling of In Vivo Translation in Escherichia coli Reliably Identifies Well-Adapted and Optimized RNA Sequences", https://doi.org/10.18419/DARUS-4628, DaRUS, V1
The DaRUS repository entails and supplements the simulation data, MATLAB model and graphics for the publication: "Mechanistic Modeling of In Vivo Translation in Escherichia coli Reliably Identifies Well-Adapted and Optimized RNA Sequences" |
Dec 19, 2024 - SFB-TRR 161 INF "Collaboration Infrastructure"
Garkov, Dimitar; Piselli, Tommaso; Di Giacomo, Emilio; Klein, Karsten; Liotta, Giuseppe; Montecchiani, Fabrizio; Schreiber, Falk, 2024, "Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis - Replication data", https://doi.org/10.18419/DARUS-4231, DaRUS, V1
This dataset contains the supplementary materials to our publication "Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis", where we report on a study we conducted. Please refer to publication for more details, also the abstract can be found at the end of this description. The dataset contains: The collection of graphs... |
Dec 18, 2024 - Computational Biomechanics
Suditsch, Marlon; Wagner, Arndt; Ricken, Tim, 2024, "Onco* version 0.1.0", https://doi.org/10.18419/DARUS-4651, DaRUS, V1
Onco* version 0.1.0 Onco* is a module based umbrella software project for numerical simulations of patient-specific cancer diseases, see following figure. From given input states of medical images the disease is modelled and its evolution is simulated giving possible predictions. In this way, a digital cancer patient is created, which could be used... |
Dec 18, 2024 - Computational Biomechanics
Suditsch, Marlon; Wagner, Arndt; Ricken, Tim, 2024, "Onco* tutorial", https://doi.org/10.18419/DARUS-4639, DaRUS, V2
Onco* tutorial This repository contains a tutorial for the following software packages: OncoFEM OncoSTR OncoTUM OncoGEN The goal is to demonstrate all functions and provide users with easier access to the tools. After successfully installing one or all of the packages, the respective tutorial can be started with Python, for example: python oncofem_... |
Bechtold, Marvin; Barzen, Johanna; Leymann, Frank; Mandl, Alexander; Truger, Felix, 2024, "Data repository for "Joint Wire Cutting with Non-Maximally Entangled States"", https://doi.org/10.18419/DARUS-4632, DaRUS, V1, UNF:6:oUWWwJbE35iP7+XujN7O1g== [fileUNF]
This dataset contains the replication code for the publication titled "Joint Wire Cutting with Non-Maximally Entangled States." The provided code represents the version utilized to generate the experimental results documented in the corresponding publication. The experiments investigate the influence of entangled states in a joint wire cut using di... |
Dec 16, 2024 - Usability and Sustainability of Simulation Software
Schneider, David; Uekermann, Benjamin, 2024, "Replication Data for: Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems", https://doi.org/10.18419/DARUS-4168, DaRUS, V1
This dataset contains software (preCICE v3.1.1 and ASTE) as well as setup files and instructions to reproduce the experiments of Schneider and Uekermann "Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems". We, moreover, provide the actual results. See the README for information on how to build and rerun the cases... |
Dec 9, 2024 - Architectures and Middleware @IAAS
Pesl, Robin D.; Mathew, Jerin George; Mecella, Massimo; Aiello, Marco, 2024, "Replication Data for: Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation", https://doi.org/10.18419/DARUS-4605, DaRUS, V1
Integrating multiple (sub-)systems is essential to create advanced Information Systems (ISs). Difficulties mainly arise when integrating dynamic environments across the IS lifecycle, e.g., services not yet existent at design time. A traditional approach is a registry that provides the API documentation of the systems’ endpoints. Large Language Mode... |
