Dataset for Surface waves prediction based on acoustic backscattering
Creators
- 1. Institute of Applied Physics of the Russian Academy of Sciences, Nizhny Novgorod, Russia
- 2. HSE University, Nizhny Novgorod, Russia
Description
Underwater acoustic measurements dataset is represented by three types of files “.raw", “.mat", ".dat" as follows:
* “.raw" format also represented by three types of data.
- “...search.raw" files contain complex envelop from all hydrophones calculated at four emitted frequencies
- “...chan.raw" files is a signal in a wide band from one of the hydrophones - for control and noise analysis.
- the largest files are the raw wideband signal from all hydrophones. One such file was saved per eight-hour sound emission cycle.
* Spectrogram files are saved in MATLAB format “.mat” v7 . Phasing of the antenna array (all-round view) and calculation of window spectra near each emitted pulse was carried out.
* ".dat" files contain features of the average spectrum of the backscattered signal.
* Direct measurements of surface wave characteristics, made by a Datawell DWR-G4 wave-rider buoy, accompanied the acoustic measurements. This data is included too.
In this archive, we upload all available files of the "dat" and "mat" type and a limited number of "raw" files. You may unpack all ".tar.gz" files into one folder, preserving the directory tree, existing in the archives.
Users should refer to the included “.pdf” file for the data format description and to a published preprint for a description of the experimental conditions and instrumentation characteristics. See [arXiv:arXiv:2204.10153] via https://arxiv.org/abs/2204.10153 (Also check when the link is updated to the journal paper)
The authors are grateful to their colleges, who helped during the expedition. Data acquisition would be impossible without their contribution. This research was supported by the Russian Science Foundation, grant number 20-77-10081 (the expedition and motivation for study) and the State Contract with the Ministry of Education and Science of the Russian Federation, grant number 0030-2021-0017 (the instruments for underwater acoustic measurements).
Files
_dataset_description.pdf
Files
(21.5 GB)
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Additional details
Related works
- Is supplement to
- Preprint: 10.48550/arXiv.2204.10153 (DOI)