Data artefact: Bathymetry reconstruction from experimental data with PDE-constrained optimisation

DOI: https://doi.org/10.15480/882.9403
URL: https://hdl.handle.net/11420/46672

Authors
=======

Judith Angel, Hamburg University of Technology (ORCID: 0009-0008-2098-4883)
Jörn Behrens, Universität Hamburg (ORCID: 0000-0001-9836-8716)
Sebastian Götschel, Hamburg University of Technology (ORCID: 0000-0003-0287-2120)
Marten Hollm, Hamburg University of Technology (ORCID: 0000-0001-5139-8918)
Daniel Ruprecht, Hamburg University of Technology (ORCID: 0000-0003-1904-2473)
Robert Seifried, Hamburg University of Technology (ORCID: 0000-0001-5795-7610)

Contact for inquiries: ruprecht@tuhh.de

Context
=======

The data set provides measurements of wave heights of waves generated in a water flume.
It contains two sets of measurements, one where the bottom of the flume is flat and one where we placed a Gaussian-shaped hill on the floor.
The hypothesis is, that it is possible to infer the shape of the hill from measurements of the height of the generated waves.
This is investigated in the accompanying paper (-> will add reference once the paper is published)


Data generation and processing
==============================

Please see the PDF provided with this data set for a detailed description of the experiment (in English).

Content
=======

This data set contains

 - this ReadMe file,
 - a ZIP archive file Data_Sensors.zip that contains the actual data as TXT files,
 - a video wave_flume_video.mp4 in MP4 format that shows the experimental setup,
 - a PDF file experiment.pdf in English language that describes the experiment in detail.

 Terms of use
 ============
 
 If you use any part of the material in this data set, please cite the dataset using
 
@misc{dataset,
        title = {Data artefact: Bathymetry reconstruction from experimental data with PDE-constrained optimisation},
        author = {Judith Angel and Jörn Behrens and Sebastial Götschel and Marten Hollm and Daniel Ruprecht and Robert Seifried},
        doi = {10.15480/882.9403},
        url = {https://hdl.handle.net/11420/46672},
        year = {2024}
        
}

 as well as the accompanying paper using
 
@misc{angel2024bathymetry,
      title={Bathymetry reconstruction from experimental data using PDE-constrained optimisation}, 
      author={Judith Angel and Jörn Behrens and Sebastian Götschel and Marten Hollm and Daniel Ruprecht and Robert Seifried},
      year={2024},
      eprint={2404.05556},
      archivePrefix={arXiv},
      primaryClass={math.NA}
}