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

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 Transformative Architecture (EXC IntCDC)

SFB/Transregio 161 "Quantitative Methods for Visual Computing"

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191 to 200 of 188,304 Results

cache_timing_results.json Sep 10, 2026 - Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach JSON - 921 B - MD5: 2c1d0ce56a0e5a15edb188309134a355
01_w3c_person_shape.ttl Sep 10, 2026 - Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach Unknown - 471 B - MD5: 9d29cd39d0f8b1d1f78591591d96680a
path_pruning_results.json Sep 10, 2026 - Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach JSON - 39.2 KB - MD5: 2c277bef1bdb72357071ddb188357b56
01_shiporder.xsd Sep 10, 2026 - Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach Unknown - 1.2 KB - MD5: 96d62c1362e1a15b1f22945394f338a1
02_enzymeml_v2_linkml.yaml Sep 10, 2026 - Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach Unknown - 21.8 KB - MD5: 9ea895efc768368d7f8369f457e93f21
01_json_schema_address.schema.json Sep 10, 2026 - Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach JSON - 580 B - MD5: 577af37d520a9d885510471fa7f60793
Replication Data for: Numerical Investigation of Flash Evaporation of the Combined Injection of Liquid Oxygen and Gaseous Methane/Hydrogen Sep 9, 2026 - Institute for Reactive Flows (IRST) Sessler, Christian; Gärtner, Jan Wilhelm; Kronenburg, Andreas, 2026, "Replication Data for: Numerical Investigation of Flash Evaporation of the Combined Injection of Liquid Oxygen and Gaseous Methane/Hydrogen", https://doi.org/10.18419/DARUS-5667, DaRUS, V1 General Information This dataset contains the OpenFOAM case files to generate the published data in: C. Sessler, J. W. Gärtner and A. Kronenburg, "Numerical Investigation of Flash Evaporation of the Combined Injection of Liquid Oxygen and Gaseous Methane/Hydrogen", Multiphase Science and Technology, Volume 37, Issue 4, 2025, pp. 1-19, doi: 10.1615/...
SESSLER_ICMF_2025.tar.zst Sep 9, 2026 - Replication Data for: Numerical Investigation of Flash Evaporation of the Combined Injection of Liquid Oxygen and Gaseous Methane/Hydrogen Unknown - 82.4 GB - MD5: 2779162a7303e307fdc2cd077180631c Data TAR archive
Replication Data for: Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by generalized kernel interpolation Sep 9, 2026 - Projects without PN Affiliation Herkert, Robin, 2026, "Replication Data for: Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by generalized kernel interpolation", https://doi.org/10.18419/DARUS-6155, DaRUS, V2 This dataset includes the code and numerical data to reproduce the results from the paper titled "Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by generalized kernel interpolation" (2026). The data were generated by the provided Python scripts from Hamiltonian test systems and are organized according to the corresp...
auxFunctions.py Sep 9, 2026 - Replication Data for: Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by generalized kernel interpolation Python Source Code - 1.6 KB - MD5: cebc576cf59b39041dfa80c759309759

cache_timing_results.json

Sep 10, 2026 - Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach

JSON - 921 B -

01_w3c_person_shape.ttl

Sep 10, 2026 - Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach

Unknown - 471 B -

path_pruning_results.json

Sep 10, 2026 - Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach

JSON - 39.2 KB -

01_shiporder.xsd

Sep 10, 2026 - Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach

Unknown - 1.2 KB -

02_enzymeml_v2_linkml.yaml

Sep 10, 2026 - Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach

Unknown - 21.8 KB -

01_json_schema_address.schema.json

Sep 10, 2026 - Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach

JSON - 580 B -

Replication Data for: Numerical Investigation of Flash Evaporation of the Combined Injection of Liquid Oxygen and Gaseous Methane/Hydrogen

Sep 9, 2026 - Institute for Reactive Flows (IRST)

Sessler, Christian; Gärtner, Jan Wilhelm; Kronenburg, Andreas, 2026, "Replication Data for: Numerical Investigation of Flash Evaporation of the Combined Injection of Liquid Oxygen and Gaseous Methane/Hydrogen", https://doi.org/10.18419/DARUS-5667, DaRUS, V1

General Information This dataset contains the OpenFOAM case files to generate the published data in: C. Sessler, J. W. Gärtner and A. Kronenburg, "Numerical Investigation of Flash Evaporation of the Combined Injection of Liquid Oxygen and Gaseous Methane/Hydrogen", Multiphase Science and Technology, Volume 37, Issue 4, 2025, pp. 1-19, doi: 10.1615/...

SESSLER_ICMF_2025.tar.zst

Sep 9, 2026 - Replication Data for: Numerical Investigation of Flash Evaporation of the Combined Injection of Liquid Oxygen and Gaseous Methane/Hydrogen

Unknown - 82.4 GB -

Data

TAR archive

Replication Data for: Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by generalized kernel interpolation

Sep 9, 2026 - Projects without PN Affiliation

Herkert, Robin, 2026, "Replication Data for: Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by generalized kernel interpolation", https://doi.org/10.18419/DARUS-6155, DaRUS, V2

This dataset includes the code and numerical data to reproduce the results from the paper titled "Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by generalized kernel interpolation" (2026). The data were generated by the provided Python scripts from Hamiltonian test systems and are organized according to the corresp...

auxFunctions.py

Sep 9, 2026 - Replication Data for: Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by generalized kernel interpolation

Python Source Code - 1.6 KB -

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