ArticleScientific reports2023
A collaborative and near-comprehensive North Pacific humpback whale photo-ID dataset.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Marine heatwaves suppress nutrient utilization and reproductive flexibility in humpback whales.iScience · 2026Article
- First Documented Resighting of a Dwarf Minke Whale From Calf to Adulthood in the Great Barrier Reef Indicates Long-Term Colour Pattern Stability and Site Fidelity.Ecology and evolution · 2026Article
- Successful Rescue of a Juvenile Humpback Whale (Animals : an open access journal from MDPI · 2025Article
- The future of baleen whales: Recoveries, environmental constraints, and climate change.Science advances · 2025Review
- Audible changes in marine trophic ecology: Baleen whale song tracks foraging conditions in the eastern North Pacific.PloS one · 2025Article
- Physical Measures of Welfare in Fin (Animals : an open access journal from MDPI · 2024Article
- Bellwethers of change: population modelling of North Pacific humpback whales from 2002 through 2021 reveals shift from recovery to climate response.Royal Society open science · 2024Article
- Diel spatio-temporal patterns of humpback whale singing on a high-density breeding ground.Royal Society open science · 2024Article
- Migratory destinations and spatial structuring of humpback whales (Megaptera novaeangliae) wintering off Nicaragua.Scientific reports · 2023Article
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Authors and funding
69 authors.
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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.
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