<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>20(12)</volume><submitter>Vogt DM</submitter><funding>Dalio Philanthropies and Ocean X</funding><funding>Sea Grape Foundation</funding><funding>Virgin Unite, Rosamund Zander/Hansjorg Wyss, Chris Anderson/Jacqueline Novogratz through The Audacious Project: a collaborative funding initiative housed at TED</funding><pubmed_abstract>Over the past decade, bioacoustics associated with diverse marine life has become the focus of increasing research. While fixed acoustic devices play important roles in characterizing localized soundscapes, animal-worn devices that record audio alongside physiological metrics provide richer portals to understanding cetacean communication and characterizing sounds in their environment. To facilitate scaling the collection of such multimodal datasets for deep learning applications and to encourage rapid prototyping for new recording capabilities, we present an open-source non-invasive bio-logger that can be deployed on marine animals to record high-quality audio synchronized with an extensible suite of behavioral and environmental sensors. The current implementation is tailored to investigat</pubmed_abstract><journal>PloS one</journal><pagination>e0337093</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12697950</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>An open-source bio-logger for studying cetacean behavior and communication.</pubmed_title><pmcid>PMC12697950</pmcid><pubmed_authors>Vogt DM</pubmed_authors><pubmed_authors>Gero S</pubmed_authors><pubmed_authors>Gruber DF</pubmed_authors><pubmed_authors>Cummings MR</pubmed_authors><pubmed_authors>Weeraratna C</pubmed_authors><pubmed_authors>Davidsen MR</pubmed_authors><pubmed_authors>Wood RJ</pubmed_authors><pubmed_authors>DelPreto J</pubmed_authors><pubmed_authors>Salino-Hugg M</pubmed_authors><pubmed_authors>Ostrom K</pubmed_authors><pubmed_authors>Grewal K</pubmed_authors><pubmed_authors>Malkin P</pubmed_authors><pubmed_authors>Hernandez AM</pubmed_authors><pubmed_authors>Wright AL</pubmed_authors><pubmed_authors>Meyer G</pubmed_authors><pubmed_authors>Bell MA</pubmed_authors><pubmed_authors>Garcia M</pubmed_authors><pubmed_authors>Kenny A</pubmed_authors><pubmed_authors>Rus D</pubmed_authors><pubmed_authors>Pagani S</pubmed_authors><pubmed_authors>Ahuja S</pubmed_authors><pubmed_authors>Diamant R</pubmed_authors><pubmed_authors>Shahviri P</pubmed_authors><pubmed_authors>Zink H</pubmed_authors><pubmed_authors>Duncan MA</pubmed_authors></additional><is_claimable>false</is_claimable><name>An open-source bio-logger for studying cetacean behavior and communication.</name><description>Over the past decade, bioacoustics associated with diverse marine life has become the focus of increasing research. While fixed acoustic devices play important roles in characterizing localized soundscapes, animal-worn devices that record audio alongside physiological metrics provide richer portals to understanding cetacean communication and characterizing sounds in their environment. To facilitate scaling the collection of such multimodal datasets for deep learning applications and to encourage rapid prototyping for new recording capabilities, we present an open-source non-invasive bio-logger that can be deployed on marine animals to record high-quality audio synchronized with an extensible suite of behavioral and environmental sensors. The current implementation is tailored to investigat</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025</publication><modification>2026-06-06T01:18:05.018Z</modification><creation>2026-05-24T03:12:26.841Z</creation></dates><accession>S-EPMC12697950</accession><cross_references><pubmed>41379880</pubmed><doi>10.1371/journal.pone.0337093</doi></cross_references></HashMap>