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Replication Data for: Data-Parallel PU-RBF Interpolation
No full textThis dataset contains software (preCICE and ASTE) as well as setup and result files to reproduce the numerical experiments in Section 5.3 of my dissertation titled "Flexible and Efficient Data Mapping for Simulation of Coupled Problems". For further instructions on how to run the experiments see the README.md of the dataset
Integration Scripts for DFG Classification for Dataverse-based Repositories
No full textThese scripts integrate the DFG classification from the TIB ontology into Dataverse as an external vocabulary according to the Dataverse Guidelines.
get_dfg_class.js: Displays entries from DFG classification in Topic Classification field once user has entered at least three characters.
get_dfg_class_with_suggestions.js: Displays entries from DFG classification in Topic Classification field once user has entered at least three characters. Additionally, a button is provided that, when clicked, suggests relevant DFG categories based on the description text.
cvocConf_dfg.json (Dataverse-Config-file. Integrates a Javascript file. Path to respective js file on server has to be set.)
Please note that when using the TIB Terminology API, you must include a custom HTTP header named 'caller' in every request. This header identifies your institution or organization when accessing the API. In these scripts, the caller header is commented out as shown in the example:
headers: {
"accept": "application/json",
//"caller": "DARUS"
}
Before using the scripts, uncomment the caller line and replace "DARUS" with the name of your own institution or organization.
To activate the feature use:
curl -X PUT --upload-file cvocConf_dfg.json http://localhost:8080/api/admin/settings/:CVocConf
If other CVOC functionalities are to be used, they would need to be integrated into the json file. </p
Visualizations from Investigation of Reducing Metalworking Fluid Consumption in Deep-Hole Drilling using SPH
No full textThe reduction of metalworking fluid (MWF) in machining processes allows the reduction of costs and energy consumption. However, the process reliability, especially for deep-hole drilling, is influenced significantly by the MWF and its ability to evacuate the created chips out of the borehole. The related work investigates the application of Smoothed Particle Hydrodynamics in investigating the reduction of MWF for the drilling process.
Video Context
The videos provided show the simulation results presented in the related work
Replication Data for: Modeling dense droplet spray combustion with multiple-mapping conditioning
No full textModeling dense droplet spray combustion with multiple-mapping conditioning
This data set contains the OpenFOAM case files required for reproducing the results published in:
Jan Wilhelm Gärtner, Ka Ho Lam, Andreas Kronenburg,
Modeling dense droplet spray combustion with multiple-mapping conditioning,
Proceedings of the Combustion Institute,
Volume 41, 2025, 105895, doi: 10.1016/j.proci.2025.105895.
The case files are separated in two tar archives:
DNS: Contains all DNS cases separated in LtoD-5 and LtoD-10 setup
LES: Contains all LES cases separated in LtoD-5 and LtoD-10 setups
The LtoD-5 setup corresponds to the dense case and the LtoD-10 setup to the dilute spray case.
Plot Results
To generate the plots of the paper, the provided Jupyter notebook files may be used. These Jupyter notebook files require two additional Python libraries
OpenFOAM Reader
mmcFoam python library for post-processing
The OpenFOAM Reader is open-source and publicly available on GitHub. The mmcFoam Python library is part of the mmcFoam solver, which is open-source upon registration. If you wish to use mmcFoam, please contact:
Prof. Andreas Kronenburg: [email protected]
Prof. Matthew Cleary: [email protected]<br
Data for: "Vibrational Fingerprinting of Gas Mixtures Using COCO-QEPAS"
No full textDetection and simultaneous monitoring of multiple trace gases is vital in scientific and industrial processes. Here, we use coherent control in quartz-enhanced photoacoustic spectroscopy (COCO-QEPAS) with an in-situ learning method for rapid fingerprinting of trace gases to identify and monitor arbitrary gases at very low concentrations, without prior knowledge of gas composition. We validate this on various mixtures, including CH4/C2H2/C2H4/C2H6/NO/NH3. To this end, we demonstrate real-time analysis of mixtures containing up to four trace gases at ppm-level, monitoring changes in seconds using linear regression. The scalability of simultaneously distinguishable gases is straightforward. Furthermore, we expand fingerprinting to 10 ppm with a detection limit of 180 ppb CH4, and apply empirical mode decomposition as an adaptive, data-driven filtering method to recover characteristic spectral features at the noise floor. For quantitative analysis in the ppb regime, we employ principal component regression as a calibration model that ex-ploits correlations across the full spectrum. Consequently, our method offers significant potential for sensing applications where speed, accuracy, and simplicity are critical.
The data is stored in individual subfolders, you can just run the python script in the respective folders with the specified version. This should enable you to reproduce the data
Repository for "A spinal network of proprioceptive reflexes can produce a variety of bipedal gaits"
No full textThis dataset contains the files for "A spinal network of proprioceptive reflexes can produce a variety of bipedal gaits" (E.K. Bunz, D.F.B. Haeufle, S. Schmitt, T. Geijtenbeek, DOI: 10.1038/s42003-025-09307-x). Always cite the paper together with this dataset.
A valid Hyfydy license is required to run the files.
Please consult the README for details on the provided files
BayesValidRox 2.1.0
No full textBayesValidRox is an open-source python package that provides methods for surrogate modeling, Bayesian inference and model comparison. Release 2.1.0 streamlines the sequential training of metamodels, and updates the metamodel validation and postprocessing functionalities
Replication Data for: Effects of a Two-Stage Mixing Process on the Characteristics of Concrete: Part II - Fresh Concrete Rheology and Measurement Protocols
No full textAddendum to the corresponding paper. The data was originally used to explore the effects of a two-stage mixing process on the properties of fresh concrete.
The data set represents experimental measurements taken with a modified ICAR Rheometer on three different concrete proportions with two different mixing configurations. The data includes yield stress and plastic viscosity. Yield stress represents the minimum shear stress required to initiate flow of the fresh concrete, reflecting interparticle structure and cohesion (reported in Pa); Plastic viscosity represents the proportionality between shear stress above the yield and shear rate under a Bingham model, describing resistance to flow once movement has begun (reported in Pa·s).
The measurements were conducted using two different measurement protocols, sequential and pointwise:
Sequential protocol (SEQ): An uninterrupted staircase test where rotational speed is decreased from 0.45 to 0.05 rps with measurements taking place at five 10-s plateaus, yielding one continuous flow curve per run.
Pointwise protocol (PW): Single-point measurements at the same five rotational speeds with full re-homogenization prior to each point, providing pre-shear-mitigated torque readings at each speed for separate flow-curve estimation.
Both protocols have been conducted twice with the following order: PW1 → SEQ1 → SEQ2 → PW2. Data for both protocols has undergone a baseline correction to account for parasitic losses from bearings, seals, and other components quantified through a no-load characterization.
The results revealed differences in robustness and accuracy of relative rheometer data
Microscopic Image Dataset of Coated Carbon Fiber/Epoxy Composites
No full textThis dataset includes microscopic image data of cross-sectional cuts prepared from fiber-composite samples composed of carbon fiber and epoxy matrix, coated with a polymer. The fiber composite did not undergo compaction during curing of the matrix, and the polymer coating was applied after curing. The cuts were made orthogonal to the fiber orientation. The cut surfaces were not polished after sawing. Multiple specimen were sampled at random positions. The images were acquired using a digital microscope and stored in TIF file format. The files are numbered to avoid duplicate filenames, but the numbering order is random. Each image includes an embedded scale bar
Supplementary material for "Influence of water content on thermophysical properties of aqueous glyceline solutions predicted by molecular dynamics simulations"
No full textThis dataset contains force field files in GROMACS format accompanying the mentioned publication. The topology file is given for one specific composition and can be adapted by changing the number of molecules in the '[ molecules ]' block.
The numerical data of all calculated thermophysical properties is provided in the XML-based IUPAC standard for storage and exchange of thermophysical and thermochemical property data (ThermoML). With the provided Jupyter notebook the data can be visualized and also used for further analysis. We recommend viewing the files by choosing the option "tree"