Document of dataset 8130

Dataset record

Type

Dataset

title in English

Characterization of sound scattering layers in the Bay of Biscay using broadband acoustics, nets and video acoustics and biological data

Description in English

To investigate the challenges of SSL sampling, we performed a survey in a small study area in the Northern Bay of Biscay (France) by combining broadband and narrowband acoustics, net sampling, imagery and video recordings. In order to identify organisms contributing to the observed SSLs, we compared measured frequency spectra to forward predicted spectra derived from biological data. This dataset comprises the echo-integrated broadband acoustic data (in Sv(f)), the nets position and depth, and the abundance and the size of the catched organisms acquired during a specific operation of SSLs sampling during (Blanluet et al.)-[https://doi.org/10.1371/journal.pone.0223618]. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications. (The acoustic data are available via the MDA archived link below the dataset citation)

Abstract in English

Sound scattering layers (SSLs) are observed over a broad range of spatio-temporal scales and geographical areas. SSLs represent a large biomass, likely involved in the biological carbon pump and the structure of marine trophic webs. Yet, the taxonomic composition remains largely unknown for many SSLs.

Contactpoint

Email

arthur.blanluet0@gmail.com

License

https://spdx.org/licenses/CC0-1.0.html

bibliographicCitation

Blanluet Arthur, Doray Mathieu, Berger Laurent, Romagnan Jean-Baptiste, Le Bouffant Naig, Lehuta Sigrid, Petitgas Pierre (2016). "Characterization of sound scattering layers in the Bay of Biscay using broadband acoustics, nets and video" acoustics and biological Data. SEANOE. https://doi.org/10.17882/62440

Release date

Dec 6 2022 12:00AM