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80 results for “humpback whale”
Underwater sounds, including killer whale and humpback whale vocalizations, recorded in northern Norway in January 2023
<p>Dataset of underwater acoustic recordings obtained during the expedition “Orcalize” that took place in Skjervøy in northern Norway from 29<sup>th</sup> December 2022 till 6<sup>th</sup> January 2023. The data contains vocalizations from killer whales and songs from humpback whales which gather in the local fjords during the winter months to feed on herring. We recorded in the band of 20 Hz – 60 kHz with calibrated hydrophones arranged in a compact tetrahedral array that we deployed over board of a motorboat. In total we provide 16 files of continuous recordings with duration from several minutes to over one hour. The total dataset is about 7 hours 37 minutes long and the memory size is 62.8 GB. See the file info.pdf for more information.</p>
Figure 7 in Whale killers: Prevalence and ecological implications of killer whale predation on humpback whale calves off Western Australia
Figure 7. The remains of a humpback whale juvenile (length estimate 8–9 m), <60 h after it was last seen intact (and probably still alive) at the surface; it was apparently killed and then eaten by sharks during 20–22 May 2014, off Coral Bay, WA. Photo: Migration Media.
Figure 3. A in Whale killers: Prevalence and ecological implications of killer whale predation on humpback whale calves off Western Australia
Figure 3. A mother humpback and her calf at Ningaloo Reef, Western Australia. Although the killer whales broke off the attack when the pair moved into shallow reef waters, the damage to the calf's lower jaw during the attack would likely prove fatal (#11). Photo: J. Totterdell.
Figure 1 in Whale killers: Prevalence and ecological implications of killer whale predation on humpback whale calves off Western Australia
Figure 1. Location of our study area off Ningaloo Reef, Western Australia, showing locations and outcomes of interactions between humpback whales and killer whales. Inset in upper right shows area where our survey effort was concentrated in 2013 (see Methods).
Figure 4. A in Whale killers: Prevalence and ecological implications of killer whale predation on humpback whale calves off Western Australia
Figure 4. A humpback mother lifts her calf out of the water on her back shortly before it was killed by attacking killer whales (#9). The killer whale on the far left is carrying the carcass of another humpback calf taken several minutes earlier (#8). Photo: S. Wenngren.
Figure 2 in Whale killers: Prevalence and ecological implications of killer whale predation on humpback whale calves off Western Australia
Figure 2. Movements of a satellite-tagged killer whale that we tracked for 22 d in July/ August 2013 off Western Australia. The track was estimated by fitting a continuous-time correlated random walk model (Johnson et al. 2008) to 452 locations calculated by the Argos satellite system (http://www.argos-system.org) to estimate locations and velocities at hourly intervals. Colored circles represent the estimated displacement velocity for each predicted location (speed in km/h; green is slower, red is faster), with speed classified into one of four velocity intervals, determined by the Jenks algorithm for natural breaks (Jenks 1967).
Figure 3. A in Humpback whales interfering when mammal-eating killer whales attack other species: Mobbing behavior and interspecific altruism?
Figure 3. A mother humpback whale and newborn calf photographed off Baja California, Mexico, Oct 2009. When necessary, the mother will use her massive pectoral flippers to defend her small calf from attacking predators, especially killer whales. Photo: M. Lynn, NOAA, Southwest Fisheries Science Center.
Figure 1 in Humpback whales interfering when mammal-eating killer whales attack other species: Mobbing behavior and interspecific altruism?
Figure 1. Locations and numbers of recorded interactions between humpback and killer whales described in Appendix S2 and summarized in Table 1; the number in each circle is the number of interactions from the general area.
Prediction of Humpback Whale Sighting Zones based on Environmental Factors using Tree-based Algorithms
<p>This is the datased used in the paper: Prediction of Humpback Whale Sighting Zones based on Environmental Factors using Tree-based Algorithms</p>
Fig. 4. A in Whale Strandings In Indonesia, Including The First Record Of A Humpback Whale (Megaptera Novaeangliae) In The Archipelago
Fig. 4. A humpback whale (Megaptera novaeangliae) stranding in Bali, Indonesia: a, knobs and black upper flipper of the humpback whale (Photo by Pariama Hutasoit, Reef Check Indonesia); b, black and white colouration of the ventral (Photo courtesy of I Wayan Sujana, Tanah Lot Authority Bali); c, the white underside of humpback whale's fluke (Photo courtesy of I. Wayan Sujana, Tanah Lot Authority Bali); d, Cremation process of the dead humpback whale in Tabanan, Bali (Photo by Putu Liza Mustika, James Cook University, Australia).
Fig. 2 in Whale Strandings In Indonesia, Including The First Record Of A Humpback Whale (Megaptera Novaeangliae) In The Archipelago
Fig. 2. Historical records of humpback whales in Indonesian Archipelago and adjacent waters ca. 1953–1958. Estimated coordinates compiled from Slijper et al. (1964)
Humpback whale genomes reflect the increased efficiency of commercial whaling
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Data from: The diffusion of cooperative and solo bubble net feeding in Canadian Pacific humpback whales
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Caller identification and characterization of individual humpback whale acoustic behavior
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Data from: Interactive bioacoustic playback as a tool for detecting and exploring nonhuman intelligence: "Conversing" with an Alaskan humpback whale
<p>Here we report on a rare and opportunistic acoustic turn-taking with an adult female humpback whale, known as Twain, in Southeast Alaska. Post hoc acoustic and statistical analyses of a 20-minute acoustic exchange between the broadcast of a recorded contact call, known as a 'whup/throp', with call responses by Twain revealed an intentional human-whale acoustic (and behavioral) interaction. Our results show that Twain participated both physically and acoustically in three phases of interaction (Phase 1: Engagement, Phase 2: Agitation, Phase 3: Disengagement), independently determined by blind observers reporting on surface behavior and respiratory activity of the interacting whale. A close examination of both changes to the latency between Twain's calls and the temporal matching to the latency of the exemplar across phases indicated that Twain was actively engaged in the exchange during Phase 1 (Engagement), less so during Phase 2 (Agitation), and disengaged during Phase 3 (Disengagement). These results, while preliminary, point to several for effective playback design, namely the importance of salient, dynamic and adaptive playbacks, that should be utilized in experimentation with whales and other interactive nonhuman species.</p>
Song complexity is maintained during inter-population cultural transmission of humpback whale songs
<p>Among animal species, the songs of male humpback whales (Megaptera novaeangliae) are a rare example of social learning between entire populations. Understanding fine-scale similarity in song patterns and structural features will better clarify how accurately songs are learned during inter-population transmission. Here, six distinct song types (2009–2015) transmitted from the east Australian to New Caledonian populations were quantitatively analysed using fine-scale song features. Results found that New Caledonian whales learned each song type with high accuracy regardless of the pattern's complexity. However, there were rare instances of themes (stereotyped patterns of sound units) only sung by a single population. These occurred more often in progressively changing 'evolutionary' songs compared to rapidly changing 'revolutionary' songs. Our results suggest that populations do not need to reduce complexity to accurately learn song patterns. Populations may also incorporate changes and embellishments into songs in the form of themes which are suggested to be learnt as distinct segments. Maintaining complex song patterns with such accuracy suggests significant acoustic contact, supporting the hypothesis that song learning may occur on shared feeding grounds or migration routes. This study improves the understanding of inter-population mechanisms for large-scale cultural transmission in animals.</p>
Data from: Humpback whales blow bubble rings
<p>Among mysticetes, humpback whales (<em>Megaptera novaeangliae)</em> make extensive use of bubbles (bursts, trails, curtains) for display by combative breeding males and to create barrier traps (nets, clouds) when hunting schooling prey. Here we describe another genre of air release, the bubble ring, a donut-shaped, poloidally spinning, air-infused, vortex (analogous to a "smoke ring"). Bubble rings are well described among aquaria housed dolphins, but scantily reported among the mysticetes. We reviewed bubble ring production in eleven individuals that were documented by naturalists, citizen scientists and researchers on both the feeding and breeding grounds across three oceans. Rings were discharged at a relatively shallow depth within the topmost atmosphere by stationary individuals. All rings propagated vertically with the largest estimated between two and three meters in diameter upon its arrival at the surface. In cases where observable, humpback bubble rings were produced from one nostril, indicating considerable blowhole dexterity. The context of ring production is bubble ringdescribed for each episode, including the orientation and distance to the closest object in the water (boat, swimmer or another whale). We consider a variety of possible functions from which foraging (n=2) and inquisitive/friendly behavior (n=10) appeared the most plausible.</p>
Data from: Change in singing behavior of humpback whales caused by shipping noise (Tsujii et al., 2018)
<p>Audio (.wav) and comma-delimited text format (.csv) files are contained. <br> This dataset was used in the study, which was submitted in 2018 to PLOS ONE for publication:</p> <p>Koki Tsujii, Tomonari Akamatsu, Ryosuke Okamoto, Kyoichi Mori, Yoko Mitani, Naoya Umeda.<br> Change in singing behavior of humpback whales caused by shipping noise.</p> <p>This dataset was obtained in the research activity of underwater noise project of the Japan Ship Technology Research Association in the fiscal years of 2016 funded by the Nippon Foundation.</p>
Figure 4 in Stranded humpback whale (Megaptera novaeangliae) (Cetacea: Balaenopteridae) in Paraná River Delta, Buenos Aires Province, Argentina. Comments on the occurrence of marine
Figure 4. Median-joining network based on the cytochrome c oxidase subunit I mtDNA haplotypes of Megaptera novaeangliae. Haplotypes are represented with discs and colors that indicate geographical locations. Mutational steps are indicated with stripes.
Figure 1 in Stranded humpback whale (Megaptera novaeangliae) (Cetacea: Balaenopteridae) in Paraná River Delta, Buenos Aires Province, Argentina. Comments on the occurrence of marine
Figure 1. Paraná River delta map were Megaptera novaeangliae (CFA-MA-13084) was found dead (exact location is indicated with a black dot).
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.