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dc.contributor.authorRoch, Marie
dc.contributor.authorBatchelor, Heidi
dc.contributor.authorBaumann-Pickering, Simone
dc.contributor.authorBerchok, Catherine
dc.contributor.authorCholewiak, Danielle
dc.contributor.authorFujioka, Ei
dc.contributor.authorGarland, Ellen Clare
dc.contributor.authorHerbert, Sean
dc.contributor.authorHildebrand, John
dc.contributor.authorOleson, Erin
dc.contributor.authorVan Parijs, Sofie
dc.contributor.authorRisch, Denise
dc.contributor.authorŠirović, Ana
dc.contributor.authorSoldevilla, Melissa
dc.date.accessioned2016-07-13T16:30:05Z
dc.date.available2016-07-13T16:30:05Z
dc.date.issued2016-01
dc.identifier.citationRoch , M , Batchelor , H , Baumann-Pickering , S , Berchok , C , Cholewiak , D , Fujioka , E , Garland , E C , Herbert , S , Hildebrand , J , Oleson , E , Van Parijs , S , Risch , D , Širović , A & Soldevilla , M 2016 , ' Management of acoustic metadata for bioacoustics ' , Ecological Informatics , vol. 31 , pp. 122-136 . https://doi.org/10.1016/j.ecoinf.2015.12.002en
dc.identifier.issn1574-9541
dc.identifier.otherPURE: 240387651
dc.identifier.otherPURE UUID: 8618745f-ba6a-44f5-9157-77d05c376a05
dc.identifier.otherScopus: 84951973303
dc.identifier.otherORCID: /0000-0002-8240-1267/work/49580214
dc.identifier.urihttps://hdl.handle.net/10023/9127
dc.description.abstractRecent expansion in the capabilities of passive acoustic monitoring of sound-producing animals is providing expansive data sets in many locations. These long-termdata sets will allowthe investigation of questions related to the ecology of sound-producing animals on time scales ranging fromdiel and seasonal to inter-annual and decadal. Analyses of these data often span multiple analysts from various research groups over several years of effort and, as a consequence, have begun to generate large amounts of scattered acoustic metadata. It has therefore become imperative to standardize the types of metadata being generated. A critical aspect of being able to learn from such large and varied acoustic data sets is providing consistent and transparent access that can enable the integration of various analysis efforts. This is juxtaposed with the need to include new information for specific research questions that evolve over time. Hence, a method is proposed for organizing acoustic metadata that addresses many of the problems associated with the retention of metadata from large passive acoustic data sets. A structure was developed for organizing acoustic metadata in a consistent manner, specifying required and optional terms to describe acoustic information derived from a recording. A client-server database was created to implement this data representation as a networked data service that can be accessed from several programming languages. Support for data import froma wide variety of sources such as spreadsheets and databases is provided. The implementation was extended to access Internet-available data products, permitting access to a variety of environmental information types (e.g. sea surface temperature, sunrise/sunset, etc.) fromawide range of sources as if they were part of the data service. This metadata service is in use at several institutions and has been used to track and analyze millions of acoustic detections from marine mammals, fish, elephants, and anthropogenic sound sources.
dc.format.extent15
dc.language.isoeng
dc.relation.ispartofEcological Informaticsen
dc.rightsCopyright © 2015 The Authors. Published by Elsevier B.V. This is an open access article available under a Creative Commons NonCommercial-NoDerivatives Licence (https://creativecommons.org/licenses/by-nc-nd/4.0/)en
dc.subjectBioacousticsen
dc.subjectMetadataen
dc.subjectCall spatiotemporal databaseen
dc.subjectEnvironmental data accessen
dc.subjectZA Information resourcesen
dc.subjectQL Zoologyen
dc.subjectT-NDASen
dc.subjectSDG 14 - Life Below Wateren
dc.subject.lccZAen
dc.subject.lccQLen
dc.titleManagement of acoustic metadata for bioacousticsen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Centre for Social Learning & Cognitive Evolutionen
dc.contributor.institutionUniversity of St Andrews. Centre for Biological Diversityen
dc.identifier.doihttps://doi.org/10.1016/j.ecoinf.2015.12.002
dc.description.statusPeer revieweden


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