Scientific Data (Mar 2023)

First assessment of underwater sound levels in the Northern Adriatic Sea at the basin scale

  • Antonio Petrizzo,
  • Andrea Barbanti,
  • Giulia Barfucci,
  • Mauro Bastianini,
  • Ilaria Biagiotti,
  • Sofia Bosi,
  • Michele Centurelli,
  • Robert Chavanne,
  • Antonio Codarin,
  • Ilaria Costantini,
  • Marinela Cukrov Car,
  • Vlado Dadić,
  • Francesco M. Falcieri,
  • Raffaela Falkner,
  • Giulio Farella,
  • Mario Felli,
  • Christian Ferrarin,
  • Thomas Folegot,
  • Roger Gallou,
  • Daphnie Galvez,
  • Michol Ghezzo,
  • Aleksandra Kruss,
  • Iole Leonori,
  • Stefano Menegon,
  • Hrvoje Mihanović,
  • Stipe Muslim,
  • Alice Pari,
  • Sauro Pari,
  • Marta Picciulin,
  • Grgur Pleslić,
  • Marko Radulović,
  • Nikolina Rako-Gospić,
  • Davide Sabbatini,
  • Giulia Soldano,
  • Jarosław Tęgowski,
  • Tihana Vučur-Blazinić,
  • Predrag Vukadin,
  • Jakub Zdroik,
  • Fantina Madricardo

DOI
https://doi.org/10.1038/s41597-023-02033-1
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 10

Abstract

Read online

Abstract The protection of marine habitats from human-generated underwater noise is an emerging challenge. Baseline information on sound levels, however, is poorly available, especially in the Mediterranean Sea. To bridge this knowledge gap, the SOUNDSCAPE project ran a basin-scale, cross-national, long-term underwater monitoring in the Northern Adriatic Sea. A network of nine monitoring stations, characterized by different natural conditions and anthropogenic pressures, ensured acoustic data collection from March 2020 to June 2021, including the full lockdown period related to the COVID-19 pandemic. Calibrated stationary recorders featured with an omnidirectional Neptune Sonar D60 Hydrophone recorded continuously 24 h a day (48 kHz sampling rate, 16 bit resolution). Data were analysed to Sound Pressure Levels (SPLs) with a specially developed and validated processing app. Here, we release the dataset composed of 20 and 60 seconds averaged SPLs (one-third octave, base 10) output files and a Python script to postprocess them. This dataset represents a benchmark for scientists and policymakers addressing the risk of noise impacts on marine fauna in the Mediterranean Sea and worldwide.