Database underlying the PhD dissertation: Navigating the Depths: Pioneering Maritime Safety Through Distributed Acoustic Sensing

DOI:10.4121/0881d78e-a636-4d3f-9cc5-078f5f8433a4.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/0881d78e-a636-4d3f-9cc5-078f5f8433a4
Datacite citation style:
Buisman, Menno (2024): Database underlying the PhD dissertation: Navigating the Depths: Pioneering Maritime Safety Through Distributed Acoustic Sensing. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/0881d78e-a636-4d3f-9cc5-078f5f8433a4.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Part of the Distributed Acoustic Datasets used for the Dissertation : Navigating the Depths: Pioneering Maritime Safety Through Distributed Acoustic Sensing. Contains DAS data from a Silixa iDAS, Febus A1 and Optodas ASN DAS interrogators.

The objective was to measure the nautical depth using optical fibres. This research was done partly in a laboratory setting, as well as field experiments. The data type is .tdms for the iDAS datasets, and .hdf5 for the Febus and ASN interrogators.

History

  • 2024-08-05 first online, published, posted

Publisher

4TU.ResearchData

Format

.tdms = iDAS .h5 = A1 .hdf5 = OptoDAS

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience & Engineering

DATA

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