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

Delft University of Technology logo

Usage statistics

75
views
741
downloads

Licence

CC BY 4.0

Interoperability

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

Files (57)