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dc.contributor.authorMiller, Brian S.
dc.contributor.authorThe IWC-SORP/SOOS Acoustic Trends Working Group
dc.contributor.authorBalcazar, Naysa
dc.contributor.authorNieukirk, Sharon
dc.contributor.authorLeroy, Emmanuelle C.
dc.contributor.authorAulich, Meghan
dc.contributor.authorShabangu, Fannie W.
dc.contributor.authorDziak, Robert P.
dc.contributor.authorLee, Won Sang
dc.contributor.authorHong, Jong Kuk
dc.contributor.authorHarris, Danielle
dc.date.accessioned2021-02-08T17:30:08Z
dc.date.available2021-02-08T17:30:08Z
dc.date.issued2021-01-12
dc.identifier272603552
dc.identifier0e7cca8b-5a2b-4b83-9718-a209c3abfa60
dc.identifier85099334672
dc.identifier.citationMiller , B S , The IWC-SORP/SOOS Acoustic Trends Working Group , Balcazar , N , Nieukirk , S , Leroy , E C , Aulich , M , Shabangu , F W , Dziak , R P , Lee , W S , Hong , J K & Harris , D 2021 , ' An open access dataset for developing automated detectors of Antarctic baleen whale sounds and performance evaluation of two commonly used detectors ' , Scientific Reports , vol. 11 , 806 . https://doi.org/10.1038/s41598-020-78995-8en
dc.identifier.issn2045-2322
dc.identifier.otherORCID: /0000-0003-1447-1420/work/87845572
dc.identifier.urihttps://hdl.handle.net/10023/21390
dc.descriptionFunding Information: The annotated library was made possible with funding from: IWC-SORP Grant “An annotated library of underwater acoustic recordings for testing and training automated algorithms for detecting Southern Ocean baleen whales”; IWC-SORP Grant “IWC-SORP Project 5—Acoustic trends in abundance, distribution, and seasonal presence of Antarctic blue whales and fin whales in the Southern Ocean: 5-year strategic meeting”; Australian Antarctic Science Projects 4101, and 4102—Antarctic baleen whale habitat utilisation and linkages to environmental characteristics, and Population abundance, trend, structure and distribution of the endangered Antarctic blue whale; Research grants from the Korean Ministry of Oceans and Fisheries (KIMST20190361; PM20020; PE20230). This report is NOAA/PMEL contribution number 5005. South African National Antarctic Programme Grant/Award Number: SNA 2011112500003.en
dc.description.abstractSince 2001, hundreds of thousands of hours of underwater acoustic recordings have been made throughout the Southern Ocean south of 60° S. Detailed analysis of the occurrence of marine mammal sounds in these circumpolar recordings could provide novel insights into their ecology, but manual inspection of the entirety of all recordings would be prohibitively time consuming and expensive. Automated signal processing methods have now developed to the point that they can be applied to these data in a cost-effective manner. However training and evaluating the efficacy of these automated signal processing methods still requires a representative annotated library of sounds to identify the true presence and absence of different sound types. This work presents such a library of annotated recordings for the purpose of training and evaluating automated detectors of Antarctic blue and fin whale calls. Creation of the library has focused on the annotation of a representative sample of recordings to ensure that automated algorithms can be developed and tested across a broad range of instruments, locations, environmental conditions, and years. To demonstrate the utility of the library, we characterise the performance of two automated detection algorithms that have been commonly used to detect stereotyped calls of blue and fin whales. The availability of this library will facilitate development of improved detectors for the acoustic presence of Southern Ocean blue and fin whales. It can also be expanded upon to facilitate standardization of subsequent analysis of spatiotemporal trends in call-density of these circumpolar species.
dc.format.extent18
dc.format.extent7088522
dc.language.isoeng
dc.relation.ispartofScientific Reportsen
dc.subjectGC Oceanographyen
dc.subjectQH301 Biologyen
dc.subjectZA4050 Electronic information resourcesen
dc.subjectDASen
dc.subjectSDG 14 - Life Below Wateren
dc.subject.lccGCen
dc.subject.lccQH301en
dc.subject.lccZA4050en
dc.titleAn open access dataset for developing automated detectors of Antarctic baleen whale sounds and performance evaluation of two commonly used detectorsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. Sea Mammal Research Uniten
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.identifier.doi10.1038/s41598-020-78995-8
dc.description.statusPeer revieweden


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