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Replication Data for: An entropy-based evaluation of conceptual constraints in hybrid hydrological models
No full textHybrid Models for Hydrology
This repository contains code for the paper "When physics gets in the way: an entropy-based evaluation of conceptual constraints in hybrid hydrological models" submitted to Hydrology and Earth Systems Science (HESS).
In this repository we have included the 'Hy2DL' and 'unite_toolbox' libraries in the versions they used for the 'hybrid_models' project. To run the code, the folder structure should look like this:
├── Projects\
│ ├── Hy2DL\
│ ├── hybrid_models\
│ └── unite_toolbox\
└── (...)
With the described folder setup, please read the README.md for general instructions of installation and usage.</p
OpenFAST model of the Senvion 5M (REpower) offshore wind turbine (Metadata only)
No full textThe data set provided contains the OpenFAST (V.3.5.3) input files for the Senvion 5M offshore wind turbine (OWT) of the alpha ventus wind farm. The OpenFAST model was developed based on a previously implemented Flex5 model of the Senvion 5M and includes the structural and aerodynamic properties of the real blades as well as the fully functional blade-style turbine controller in a 32-bit version.
A similar version of the OpenFAST model provided here was validated in [1] against measured data from the alpha ventus wind farm. However, the model of the jacket substructure (OWEC Quattropod) used for validation in [1] is not part of the model provided here due to confidentiality reasons. Instead, a reduced representation consisting of mass, damping and stiffness matrices is used to represent the substructure. With this reduced representation of the substructure, it is not possible to calculate the hydrodynamic forces.
The turbine model was originally implemented in Flex5-Poseidon by the University of Stuttgart - Stuttgart Wind Energy (SWE) based on documentation provided by Senvion and OWEC Tower. Further details on the Felx5 model and its validation can be found in [2].</p
Experimental data: Lateral torsional buckling of softwood glulam beams with combined bending and axial compression
No full textThis repository contains the experimental results of 19 lateral torsional buckling tests with combined bending and axial compression on timber beam-columns made of GL 24h. The loading, the deformations and rotations at midspan and at the supports, the dimensions, the moisture content and the weight were recorded. The modulus of elasticity and the shear modulus in grain direction were determined in preliminary tests
Source code for: geometrically and materially nonlinear numerical analysis of timber beam-columns with Abaqus/CAE (Abaqus_timber_beam-column)
No full textThis repository contains the python input code for an automated geometrically and materially nonlinear numerical analysis of timber beam-columns with Abaqus/CAE. The structural system, geometry, imperfections, loading, and material can be varied. The Abaqus_timber_beam-column model was developed in the dissertation of Janusch Töpler
Replication data of Estes group for: "Oxo-Bridged Zr Dimers as Well-defined Models of Oxygen Vacancies on ZrO2"
No full textThe data is provided for experimental and analysis work done except computational calculations.
All primary data files of measurements and processed data of the journal article mentioned under related publications from Estes group can be found here.
Data from collaborating groups can be found in a seperate data set.
The data is structured according to figures and schemes in the research article and contains the following data types: BrukerNMR, .csv, .m, .pdf, .png (format
Code for Caption Crowd (IKILeUS)
No full textCaptionCrowd is an interactive platform developed within the IKILeUS project at the University of Stuttgart to improve video caption accuracy for the Deaf and Hard of Hearing (DHH) community. While automatic captions provide some accessibility, they often contain errors in grammar, homophones, and domain-specific terminology, making comprehension challenging. CaptionCrowd enables users to collaboratively identify and correct inaccurate captions in real-time, improving their quality through community-driven feedback.
The platform features a user-friendly web-based video player that allows users to highlight incorrect words in subtitles, with their selections recorded for further analysis. User testing with 16 participants revealed that manually correcting captions can be cognitively demanding, highlighting the ongoing need for enhanced accessibility solutions
Replication Data for: AI-assisted JSON Schema Creation and Mapping
No full textThe steps and sources of the application example from the paper + the JSONata instructions for the LLM.
Recommended: download all files and open the README.md with a markdown editor/viewer. The README.md document shows the steps performed in the application example and also corresponding screenshots and input and output documents. The screenshots are contained in the dataset
Nuisance - OOPObjs
No full text
This dataset contains the database of Out Of Plane Objects (OOPObjs) extracted from PIV (Mie scattering) measurements within an RQL-type combustor.
The database is one subclass utilised in the generation of synthetic training data via domain randomisation. The resulting dataset is subsequently used for training of DL-based image segmentation models.
For further details and citation, please refer to the submitted paper:
B. Jose, K. P. Geigle, F. Hampp, Domain-Randomised Instance-Segmentation Benchmark for Soot in PIV Images, submitted to Machine Learning: Science and Technology (2025)
Data Samples:
</p
Nuisance - OOFObjs
No full text
This dataset contains the database of Out Of Focus Objects (OOFObjs)—currently mostly droplets and used for droplet sizing in shadowgraphy analysed sprays.
The database is one subclass utilised in the generation of synthetic training dataset via domain randomisation. The resulting dataset is subsequently used for training of DL-based image segmentation models.
A more detailed description is provided in the corresponding paper:
https://doi.org/10.1016/j.ijmultiphaseflow.2023.104702
Data Samples:
</p
Replication Code for: Augmenting a pure and hybrid vertical equilibrium scheme via data-driven surrogate modelling
No full text
This data set contains the source code to reproduce the simulation and data-driven models for the publication
Augmenting a pure and hybrid vertical me via data-driven surrogate modelling, that has been submitted to the
Transport in Porous Media journal.
Files
README.md: Instructions on installing all necessary modules using git or Docker.
install_buntic2025a.py: Python script for installing all necessary DuMux and DUNE modules from git.
buntic2025a_docker.tar.xz: Compressed folder containing all files for creating a Docker image and running a Docker container.
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