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    <identifier>10.57760/sciencedb.13099</identifier>
    <datestamp>2024-09-11T16:05:04Z</datestamp>
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  <dc:date>2024-09-11</dc:date>
  <dc:title>A Database of Underwater Radiated Noise from Small Vessels in the Coastal Area</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.13099</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The current procedures for measuring underwater radiated noise (URN) are designed for cooperating vessels in controlled areas. As such, not a lot of data is available for the URN of unidentified vessels of opportunity (VOO), especially for small vessels that do not carry an automatic identification systems (AIS). To this end, we assembled a database of 1148&amp;nbsp;VOO&amp;rsquo;s URN from acoustic and visual recordings of ferries, fishing boats, yachts, and small speed boats made within &amp;Scaron;ibenik canal, Croatia. The database comprises source pressure levels at the closest point of approach, picture and video of the vessel, and the vessel&amp;rsquo;s speed, size, and type. A shared webpage allows filtering and comparing vessel types and characteristics. To the best of our knowledge, this is one of the largest databases of vessel URN in general and the most extensive database for small coastal vessels. In this paper, we share the structure of our database, the analysis methodology. We conclude that the URN of small vessels is significant and compatible to large vessels.</dc:description>
  <dc:subject>vessel identification; underwater radiated noise; underwater acoustics; video vessel data</dc:subject>
  <dc:creator>Mark Shipton</dc:creator>
  <dc:creator>Juraj Obradović</dc:creator>
  <dc:creator>Fausto Miguel Pascoal Ferreira</dc:creator>
  <dc:creator>Nikola Mišković</dc:creator>
  <dc:creator>Tomislav Bulat</dc:creator>
  <dc:creator>Neven Cukrov</dc:creator>
  <dc:creator>Roee Diamant</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
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  <dc:publisher>Science Data Bank</dc:publisher>
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