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Published (Version of record)CC BY V4.0, Open Access
Published (Version of record)CC BY V4.0, Open
Journal article
A collaborative and near-comprehensive North Pacific humpback whale photo-ID dataset
Scientific reports, Vol.13, 10237
23/06/2023
PMID: 37353581
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Abstract
We present an ocean-basin-scale dataset that includes tail fluke photographic identification (photo-ID) and encounter data for most living individual humpback whales (Megaptera novaeangliae) in the North Pacific Ocean. The dataset was built through a broad collaboration combining 39 separate curated photo-ID catalogs, supplemented with community science data. Data from throughout the North Pacific were aggregated into 13 regions, including six breeding regions, six feeding regions, and one migratory corridor. All images were compared with minimal pre-processing using a recently developed image recognition algorithm based on machine learning through artificial intelligence; this system is capable of rapidly detecting matches between individuals with an estimated 97–99% accuracy. For the 2001–2021 study period, a total of 27,956 unique individuals were documented in 157,350 encounters. Each individual was encountered, on average, in 5.6 sampling periods (i.e., breeding and feeding seasons), with an annual average of 87% of whales encountered in more than one season. The combined dataset and image recognition tool represents a living and accessible resource for collaborative, basin-wide studies of a keystone marine mammal in a time of rapid ecological change.
Details
- Title
- A collaborative and near-comprehensive North Pacific humpback whale photo-ID dataset
- Creators
- Ted Cheeseman - Southern Cross UniversityKen SoutherlandJo Marie AcebesKatherina AudleyJay BarlowLars BejderCaitlin BirdsallAmanda L BradfordJosie K ByingtonJohn CalambokidisRachel CartwrightJen CedarleafAndrea Jacqueline García ChavezJens J CurrieJoelle De WeerdtNicole DoeThomas Doniol-ValcrozeKarina DracottOlga FilatovaRachel FinnKiirsten FlynnJohn K B FordAstrid Frisch-JordánChristine GabrieleBeth GoodwinCraig HayslipJackie HilderingMarie C HillJeff K JacobsenM Esther Jiménez-LópezMeagan JonesNozomi KobayashiEdward LymanMark MallesonEvgeny MamaevPamela Martinez-LoustalotAnnie MastermanCraig MatkinChristie J McMillanJeff E MooreJohn R MoranJanet L. NeilsonHayley NewellHaruna OkabeMarilia OlioAdam A PackDaniel M. PalaciosHeidi C. PearsonEster Quintana-RizzoRaul Fernando Ramírez BarragánNicola RansomeHiram Rosales-NanducaFred SharpeTasli ShawStephanie StackIain StanilandJan StraleyAndrew SzaboSuzie TeerlinkOlga TitovaJorge R. UrbanMartin van AswegenMarcel Vinicius de MoraisOlga von ZiegesarBriana WitteveenJanie WrayKymberly M YanoDenny ZwiefelhoferPhil Clapham
- Publication Details
- Scientific reports, Vol.13, 10237
- Publisher
- Nature Publishing Group
- Identifiers
- 991013137613202368
- Copyright
- © The Author(s) 2023 This article is licensed under a Creative Commons Attribution 4.0 International License.
- Academic Unit
- Faculty of Science and Engineering
- Language
- English
- Resource Type
- Journal article