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61 results for “fin whale”
Dataset from Annual Acoustic Presence of Fin Whale (Balaenoptera physalus) Offshore Eastern Sicily, Central Mediterranean Sea
<p>This dataset is form the study: </p> <p>Sciacca V., Caruso F.,Beranzoli L., Chierici F., De Domenico E., Embriaco D., Favali P., Giovanetti G., Larosa G., Marinaro G., Papale E., Pavan G., Pellegrino C., Pulvirenti S., Simeone F., Viola S., and G. Riccobene. "Annual Acoustic Presence of Fin Whale (<em>Balaenoptera physalus</em>) Offshore Eastern Sicily, Central Mediterranean Sea." PLoS ONE 10(11): e0141838. doi:10.1371/journal.pone.0141838</p> <p>The archives labeled YYYYMM_Spectrograms.zip contain the data from each month of passive acoustic recording -MM- of the years -YYYY- 2012 and 2013. Data consist of the spectrograms (1-50 Hz) of 10-min audio recordings, in PNG format files. These data were used in the cited study to verify the presence of fin whale calls.</p> <p>The archive labeled "NoiseData.zip" consists of two matrix (ASCII format) containing the recorded values of acoustic noise within the fin whale call frequency band.</p> <p> </p> <p> </p>
Data and R code from: Fin whale song evolution in the North Atlantic
<p>Animal songs can change within and between populations as the result of different evolutionary processes. When these processes include cultural transmission, the social learning of information or behaviours from conspecifics, songs can undergo rapid evolutions because cultural novelties can emerge more frequently than genetic mutations. Understanding these song variations over large temporal and spatial scales can provide insights into the patterns, drivers and limits of song evolution that can ultimately inform on the species' capacity to adapt to rapidly changing acoustic environments.</p> <p>In this study, we analysed changes in fin whale (<em>Balaenoptera physalus</em>) songs recorded over two decades (1999–2020) across the central and eastern North Atlantic Ocean. We document a rapid replacement of song INIs (inter-note intervals) over just four singing seasons (2000/2001–2004/2005) in the southeast location of the Oceanic Northeast Atlantic (ONA) region, that co-occurred with hybrid songs (with both INIs). During the transition in song INIs (2002/2003) we show a clear geographic gradient in the occurrence of different song INIs in the whole ONA region. We also found gradual changes in song INIs (Figure 3A) and 20-Hz note (Figure 3B) and HF note (Figure 3C) peak frequencies over more than a decade with fin whales adopting song changes. These results provide evidence of vocal learning in fin whales and reveal patterns of song evolution that raise questions on the limits of song variation in this species.</p>
Historical baleen plates indicate that once abundant Antarctic blue and fin whales demonstrated distinct migratory and foraging strategies
<p>Southern hemisphere blue (<em>Balaenoptera musculus intermedia</em>) and fin (<em>Balaenoptera physalus</em>) whales are the largest predators in the Southern Ocean, with similarities in morphology and distribution. Yet, understanding of their life history and foraging is limited due to current low abundances and limited ecological data. To address these gaps, historic Antarctic blue (n = 5) and fin (n = 5) whale baleen plates, collected in 1947–1948 and recently rediscovered in the Smithsonian National Museum of Natural History, were analyzed for bulk (δ<sup>13</sup>C and δ<sup>15</sup>N) stable isotopes. Regular oscillations in isotopic ratios, interpreted as annual cycles, revealed that baleen plates contain approximately six years (14.35 ± 1.20 cm yr<sup>–1</sup>) of life history data in blue whales and four years (16.52 ± 1.86 cm yr<sup>–1</sup>) in fin whales. Isotopic results suggest that: 1) in the 1940s, blue and fin whales fed at the same trophic level but in slightly different habitats, 2) fin whales appear to have had more regular annual migrations, and 3) fin whales may have migrated to ecologically distinct sub-Antarctic waters annually while some blue whales may have resided year-round in the Southern Ocean. These results reveal differences in ecological niche and life history strategies between Antarctic blue and fin whales during a period when their populations were more abundant than today, and before major human-driven climatic changes occurred in the Southern Ocean.</p>
Fig. 3 in The "Southern form" of short-finned pilot whale (Globicephala macrorhynchus) in tropical west Pacific Ocean off Taiwan
Fig. 3. Genealogical relationship reconstructed by the medianjoining algorithms via the mtDNA haplotype data for short-finned pilot whales from: A, Taiwanese and Philippines waters (593-bp sequence); B, Worldwide (345-bp sequence). Each circle represents a haplotype and the number in the circle indicates the sample size (when sample size> 1). The number at the bar between each haplotype indicates the position of variable site (Table 3). Haplotypes, sample size, and origin for worldwide data in B from Oremus et al., 2009. Haplotype N is the haplotype most closelyrelated to those long-finned pilot whales (six mutation steps; see Oremus et al., 2009).
Fig. 2 in The "Southern form" of short-finned pilot whale (Globicephala macrorhynchus) in tropical west Pacific Ocean off Taiwan
Fig. 2. Short-finned pilot whales sighted around Taiwan—offshore and beached on the coasts of Taiwan—showing two external morphological characteristics that define the Southern form (Kasuya et al., 1988). A, the post-fin dorsum was uniformly black in all whales observed, four shown here from group of about 30 whales (O8, Table 1), a lighter coloured saddle patch was not seen; B, a male with flattened forehead ("square-head", arrow) from another group of about 90 whales (O19, Table 1), and indistinct lighter coloured mottling over post-fin dorsum (the saddle patch area) on two other whales; C, carcass of a fresh adult male stranded on the west coast of Taiwan (S7) showing a flattened forehead and the lack of a clear post-fin saddle patch, characteristic of the Southern form.
Fig. 1 in The "Southern form" of short-finned pilot whale (Globicephala macrorhynchus) in tropical west Pacific Ocean off Taiwan
Fig. 1. Sighting observation (open triangles) and stranding (solid circles) locations of short-finned pilot whales around the coasts of Taiwan (1998–2012). See Tables 1 and 2 for event codes; sighting or stranding events without a detail location record (i.e., GPS position) were not indicated in the map. The star locates a group sighting near the Dongsha plateau recorded on video-clip (see text; Supplement A).
Data and Code: Spatiotemporal Variability of Fin Whale and Blue Whale Calls Detected by Land Seismometers in the Lower St. Lawrence Seaway
<h3>Code</h3> <p><strong>MATLABWhaleDetectionCodeNWA.zip</strong></p> <p>The code used in the manuscript Spatiotemporal Variability of Fin Whale and Blue Whale Calls Detected by Land Seismometers in the Lower St. Lawrence Seaway<em> </em>(Goblot et al., in review)<em> </em>to detect whale calls in seismic waveforms was written by Alexandre Plourde and uploaded here with permission. This .zip file contains 3 folders, ‘Numerical Methods’, ‘Signal Processing’ and ‘Whale Subroutines’, as well as 3 main scripts (x2 for fin and blue whales). </p> <ul> <li>Pre-processing: <ul> <li>Convert .mseed to SAC files and rename with the format: YYYY.MM.DD.NETWORK.STATION..CHANNEL.SAC. Each SAC file must then be placed in a folder named with the format YYYYMMDD, referred to as events (evs) in the code. Each of these folders must then be placed into a single folder known as the events directory (drE) in the code.</li> </ul> </li> </ul> <ul> <li>Processing: Fin whales <ul> <li>Run ‘RecordWhaleNoiseLSZ.m’ for fin whales. This reads through daily SAC files, and computes fin whale power ratio every 120 s. The folder ‘FinWhalePower’ (drP) should now be created. These contain text files with the power ratios (W) for every window at each station.</li> <li>Run ‘createFinWhaleDectectionList.m' to check which 120s time windows have W > threshold (3.0 in our case). These time windows are stored in the matrix FWD.</li> <li>Run 'RecordFinWhaleCallsLSZ.m' to identify individual whale calls within each of the 120s time segments in the FWD matrix. The labelled call times are stored in the matrix FWC.</li> </ul> </li> </ul> <ul> <li>Processing: Blue whales <ul> <li>Run ‘RecordBlueWhalesLSZ.m’ for fin whales. This reads through daily SAC files, and computes fin whale power ratio every 120 s. The folder ‘BlueWhalePower’ (drP) should now be created. These contain text files with the power ratios (W) for every window at each station.</li> <li>Run ‘createBlueWhaleDectectionList.m' to check which 720s time windows have W > threshold (1.5 in our case). These time windows are stored in the matrix BWD.</li> <li>Run 'RecordFinWhaleCallsLSZ.m' to identify individual whale calls within each of the 720s time segments in the BWD matrix. The labelled call times are stored in the matrix BWC.</li> </ul> </li> </ul> <h3>Data</h3> <p>The whale detection code was applied to seismic waveform data downloaded through the EarthScope Consortium Web Services (<a href="https://service.iris.edu/" target="_blank" rel="noopener">https://service.iris.edu/</a>), including the following seismic network: CN (Natural Resources Canada, 1975). All whale calls were detected using the characteristic reccurence interval method (MATLABWhaleDetectionCodeNWA.zip).</p> <p><strong>Table S2</strong></p> <p><strong>WhaleDetectionsFeb2020Jan2022LSZ.mat</strong></p> <ul> <li>This dataset contains the center time of fin whale and blue whale detections and calls, from land 6 seismometers (CNQ, ICQ, SMQ, SNFQ, PMAQ, RISQ) in the Lower St-Lawrence Seaway between February 2020 and January 2022. <ul> <li>FWD_ <ul> <li>Column 1: list of fin whale detections (2 minute time window with presence)</li> <li>Column 2: corresponding station label</li> </ul> </li> <li>BWD_ <ul> <li>Column 1: list of blue whale detections (12 minute time window with presence)</li> <li>Column 2: corresponding station label</li> </ul> </li> <li>FWC_ <ul> <li>Column 1: list of individual ~1s fin whale calls</li> <li>Column 2: corresponding station label</li> </ul> </li> <li>BWC_ <ul> <li>Column 1: list of individual ~8s blue whale calls</li> <li>Column 2: corresponding station label</li> </ul> </li> <li>stadir: list of stations and labels (1-6)</li> </ul> </li> </ul> <p><strong>Table S3</strong></p> <p>a)<strong> MonthlyBlueWhaleDetectionsOct2015Jan2022.csv</strong> and b) <strong>MonthlyFinWhaleDetectionsOct2015Jan2022.csv</strong></p> <ul> <li> <div> <div> <div> <p>Number of monthly a) fin whale detections and b) blue whale detections from October 2015 to January 2022. Empty cells indicate periods when stations were not operating. Quiet day detections are included.</p> <p>Note the Oct 2015-Feb 2020 catalogue is from Plourde and Nedimović (2022) and includes up to 14 stations throughout this period from the following seismic networks: CN (Natural Resources Canada, 1975) and C8 (Natural Resources Canada, 2002). The Feb 2020-Jan 2022 catalogue is from Goblot et al. (in review) and includes the same stations from Table S1.</p> </div> </div> </div> </li> </ul> <h3>Additional</h3> <p><strong>Movie S1</strong></p> <p><strong>LSLSWhales.mp4</strong></p> <ul> <li>This movie contains an audiovisual representation of a series of fin whale calls and blue whale calls detected by 2 land seismometers in the Lower St-Lawrence Seaway. The fin whale detection was recorded by land seismometer CNQ (Côte-Nord) on Dec 12 2021 from 18:19:40 to 18:21:40. The blue whale detection was recorded by land seismometer SNFQ (Sainte-Félicité) on Aug 22 2021 from 05:36:00 to 05:48:00.</li> <li>The MATLAB soundsc(x) function was applied to seismic waveform data with fin whale and a blue whale calls. The signal with the fin whale detection is bandpassed from 18-21 Hz and the blue whale signal is bandpassed from 16-18 Hz. These signals were sped up 1000x in order to make them audible.</li> <li>The audio file was then uploaded to veed.io to produce a frequency response visualization of the whale calls.</li> <li>More audiovisuals can be viewed <a href="https://seismicsoundscapes.myportfolio.com/" target="_blank" rel="noopener">here</a>.</li> </ul>
Fin whale vocalizations recorded at OBS station BS080 in the northeast Pacific Ocean
<p>Fin whale calls recorded by seismic stations in the northeast Pacific sped up 10 times to be audible to humans. </p>
Fig. 2 in Molecular Identification, Fatty Acid Profile and Trace Elements in a Stranded Fin Whale in Sabah (Borneo, Malaysia): Implications on Migration Routes and Trophic Ecology of Southern Fin Whales.
Fig. 2. (a) The phylogenetic tree showing the stranded baleen whale (Baleen whale KP/Sabah/02082012) clustered together with the fin whale Balaenoptera physalus (U13103, Z18633 and X61145). (b) The phylogenetic analysis of the cytochrome b gene sequence indicating that the stranded fin whale (Baleen whale KP/Sabah/02082012) is closely related to the specimen of fin whales from the southern hemisphere with accession number KC572845, which represents Balaenoptera physalus quoi.
Fig. 1 in Molecular Identification, Fatty Acid Profile and Trace Elements in a Stranded Fin Whale in Sabah (Borneo, Malaysia): Implications on Migration Routes and Trophic Ecology of Southern Fin Whales.
Fig. 1. Stranding site (red-filled triangle) of the fin whale at the Sitompok River (Lat. 05°34'672"N; Long.115°39'710"E) near Kuala Penyu (KP), a coastal town overlooking the South China Sea on the western shores of Sabah (Borneo, Malaysia) (inset map). The approximate location of the sighting of possible fin whales reported by De Boer (2000) is marked with a blue-filled circle. The distribution ranges of rorquals species, including fin whales, in the Philippine waters reported by Slijper et al. (1964) and Acebes (2014) are marked with green-filled circles. The locations of fin whales' migration ranges in Australian waters according to Aulich et al. (2019) are shown using red-filled circles. The stranding site of the unconfirmed fin whale species at Pulau Sugi (Junge 1950) is indicated by a yellow-filled circle.
Fig. 4 in Molecular Identification, Fatty Acid Profile and Trace Elements in a Stranded Fin Whale in Sabah (Borneo, Malaysia): Implications on Migration Routes and Trophic Ecology of Southern Fin Whales.
Fig. 4. (a) Concentrations of trace elements (Mean ± SD) in the skin and blubber of the southern fin whale recorded in the present study compared to (b) the concentrations of trace elements in the skin of southern right whales (Eubalaena australis) extracted from the results of Martino et al. (2013).
Fig. 3 in Molecular Identification, Fatty Acid Profile and Trace Elements in a Stranded Fin Whale in Sabah (Borneo, Malaysia): Implications on Migration Routes and Trophic Ecology of Southern Fin Whales.
Fig. 3. Comparison of the percentages of fatty acid profiles for (a) SFA, (b) MUFA and (c) PUFA in the tissues of adult male (M) and female (F) southern humpback whales during the early and late migrations extracted from the results of Waugh et al. (2012), epipelagic and mesopelagic (i.e., average) fish in the South China Sea (SCS) extracted from the supplementary data of Wang et al. (2019) and the southern fin whale in the present study.
Fig. 3 in Morphological and molecular characterization of adults and larvae of Crassicauda spp. (Nematoda: Spirurida) from Mediterranean fin whales Balaenoptera physalus (Linnaeus, 1758)
Fig. 3. Features of the larvae isolated from fin whales. a, b, anterior end of larvae included in intestinal nodules, showing cephalic papillae and excretory pore (a, lateral view, bar = 35 μm; b, dorsoventral view, bar = 50 μm). c, tail of the same larvae, showing the cloacal pore (bar = 60 μm). d, anterior end of larvae from the mesenteric arteries, showing bulging of the triangular-shaped head (lateral view, bar = 30 μm); e, tail of the same larvae with intestinal tube evident, ending in the cloacal opening (bar = 60 μm). f, anterior end of larvae found free within intestinal lumen, showing triangular shape of the anterior region, with cephalic papillae, buccal cavity and excretory pore (lateral view, bar = 25 μm); g, h, posterior end of the same larvae, showing either presence of a cloaca with multiple papillae (g, bar = 50 μm) or a genital pore (h, bar = 80 μm); i, anterior end of adult C. boopis, displaying triangular shaped lips and labial and cephalic papillae (sublateral view, bar = 50 μm).
Fig. 5 in Morphological and molecular characterization of adults and larvae of Crassicauda spp. (Nematoda: Spirurida) from Mediterranean fin whales Balaenoptera physalus (Linnaeus, 1758)
Fig. 5. Maximum likelihood tree (Log-likelihood: −1359.826) obtained from cox1 alignment. The tree was arbitrarily rooted on midpoint. Bootstrap support values (≥50%) are provided near the corresponding node. The scale bar represents 0.2 substitutions/site. Newly determined sequences are in bold.
Fig. 4 in Morphological and molecular characterization of adults and larvae of Crassicauda spp. (Nematoda: Spirurida) from Mediterranean fin whales Balaenoptera physalus (Linnaeus, 1758)
Fig. 4. Maximum likelihood tree (Log-likelihood: −1044.368) obtained from ITS2 alignment. The tree was rooted on midpoint. Bootstrap support values (≥50%) are provided near the corresponding node. The scale bar represents 0.02 substitutions/site. Newly determined sequences are in bold.
Historical baleen plates indicate that once abundant Antarctic blue and fin whales demonstrated distinct migratory and foraging strategies
Open the record for dataset details and reuse information.
Data and R code from: Fin whale song evolution in the North Atlantic
Open the record for dataset details and reuse information.
Targeting fin whale conservation in the North-Western Mediterranean Sea: Insights on movements and behaviour from biologging and habitat modelling
<p>Biologging and habitat modelling are key tools supporting the development of conservation measures and mitigating the effects of anthropogenic pressures on marine species. Here, we analysed satellite telemetry data and foraging habitat preferences in relation to chlorophyll-a productivity fronts to understand the movements and behaviour of endangered Mediterranean fin whales (<em>Balaenoptera physalus)</em> during their spring-summer feeding aggregation in the North-Western Mediterranean Sea. Eleven individuals were equipped with Argos satellite transmitters across three years, with transmissions averaging 23.5 ± 11.3 days. Hidden Markov Models were used to identify foraging behaviour, revealing how individuals showed consistency in their use of seasonal core feeding grounds; this was supported by the distribution of potential foraging habitat. Importantly, tracked whales spent most of their time in areas with no explicit protected status within the study region. This highlights the need for enhanced time- and place-based conservation actions to mitigate the effects of anthropogenic impacts for this species, notably ship strike risk and noise disturbance in an area of exceptionally high maritime traffic levels. These findings strengthen the need to further assess critical habitats and Important Marine Mammal Areas that are crucial for focussed conservation, management, and mitigation efforts.</p>
Short-finned pilot whales exhibit behavioral plasticity in foraging strategies mediated by their environment
<p>Predators adapt their foraging behavior to exploit a variety of prey in a range of environments. Short-finned pilot whales are wide-ranging predators in tropical and sub-tropical oceans, but most previous studies of their foraging ecology have been conducted near oceanic islands. We deployed sound and movement recording tags on 43 short-finned pilot whales off Cape Hatteras, North Carolina, USA, to measure their foraging behavior in a continental shelf-break ecosystem and investigate how variation in the environment shapes their behavior. Overall, the foraging behavior of pilot whales off Cape Hatteras was similar to that of their counterparts from island-associated habitats. Off Cape Hatteras, pilot whales made foraging dives as deep as 1077 m (mean: 445 m), lasting up to 23 min (mean: 12.8 min), with sprints (pursuit at speeds over 3 m/s and up to 6.9 m/s) in more than half of foraging dives. However, tagged whales off Cape Hatteras produced higher buzz rates (11.3 buzzes/dive), foraged more extensively in daytime hours, and engaged in more frequent benthic foraging than island-associated ecotypes. By parsing the echoic scene generated by the animal's own echolocation clicks, we show that pilot whales off Cape Hatteras frequently exploit bathymetric features for foraging, with benthic dives resulting in higher prey capture attempts than pelagic dives. The ability of these predators to strategically adapt foraging strategies to local habitat features likely contributes to their ecological success and may allow them to adjust to shifts in prey distributions in a rapidly changing Anthropocene ocean.</p>
Fin whale tracks Elephant Island
<p>This data set comprises the the location data obtained via SPLASH LIMPET tags from four fin whales equipped with satellite transmitters at Elephant Island Antarctica in April / March 2021. Provided are the tag identifier (Ptt), transmitter model (instrument), the data and time of each recorded location, the satellite system used for transmission (type), a quality rating of the transmission (quality) as B, A, 0, 1, 2 or 3 in increasing order of position accuracy, LAtitude and Longitude of the position. The dataset shows the movement of 4 fin whales at the tagging site at Elephant Island, Antarctica, and three of the whales starting their northward migration at the end of the feeding season around mid April.</p>
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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.