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693 results for “Vocalization”
FIGURE 6 in Larval morphology and complex vocal repertoire of Rhacophorus helenae (Anura: Rhacophoridae), a rare flying frog from Vietnam
FIGURE 6. Waveform (A) and spectrogram (B) of different call types of Rhacophorus helenae: 1—simple tonal, 2—tonal with pulses, 3—simple wideband, 4—wideband with pulses, 5—pulsed calls, and 1-4 —example of transitional call. The waveform shows the presence of rhythmic amplitude modulation in some call types. Call sequence and intervals are not natural.
FIGURE 2 in Larval morphology and complex vocal repertoire of Rhacophorus helenae (Anura: Rhacophoridae), a rare flying frog from Vietnam
FIGURE 2. Maximum likelihood dendrogram of Rhacophorus derived from the analysis of 843 bp of 16S rRNA mtDNA gene. Voucher samples and GenBank accession numbers are given in Table 1. Numbers near nodes represent bootstrap support values (1000 replicates) for ML / and posterior probabilities (PP) for Bayesian inferences respectively.
FIGURE 1 in Larval morphology and complex vocal repertoire of Rhacophorus helenae (Anura: Rhacophoridae), a rare flying frog from Vietnam
FIGURE 1. Known distribution of Rhacophorus helenae in southern Vietnam. Yellow dots correspond to localities reported by Rowley et al. (2012a); red dots correspond to localities reported in the present study. Locality information: 1—Nui Ong Nature Reserve, Binh Thuan Province; 2—Tan Phu Forest, Dong Nai Province; 3—Binh Chau–Phuoc Buu Nature Reserve, Ba Ria– Vung Tau Province; 4—Ma Da Forest, Dong Nai Province.
FIGURE 5 in Larval morphology and complex vocal repertoire of Rhacophorus helenae (Anura: Rhacophoridae), a rare flying frog from Vietnam
FIGURE 5. Differences in coloration (A, B) and webbing development (C, D) between juvenile (approximately one month after the completion of metamorphosis) and adult Rhacophorus helenae. Photographs by V. Trounov.
FIGURE 4 in Larval morphology and complex vocal repertoire of Rhacophorus helenae (Anura: Rhacophoridae), a rare flying frog from Vietnam
FIGURE 4. Larval mouthparts morphology of Rhacophorus helenae (ZMMU NAP-03164, Stage 37, TL 40.1 mm) (A) and coexisting large rhacophorids: (B) Rhacophorus annamensis (NAP-02609, Stage 35, TL 38.8 mm); (C) Polypedates megacephalus (NAP-02415, Stage 37, TL 33.8 mm).
FIGURE 3 in Phenotypic variation and vocal divergence reveals a species complex in White-eared Ground-sparrows (Cabanis) (Aves: Passerellidae)
FIGURE 3. Plot of the first two discriminant functions for morphometric measurements, plumage patterns, and vocalizations showing separation between the three subspecies of Melozone leucotis (black circles: M. l. leucotis, gray circles: M. l. nigrior, addition sign: M. l. occipitalis) based on the best model for each comparison (see text for details on percentage of classification and variables included in each model).
FIGURE 2 in Phenotypic variation and vocal divergence reveals a species complex in White-eared Ground-sparrows (Cabanis) (Aves: Passerellidae)
FIGURE 2. Photographs of museum specimens reveal plumage color and pattern differences between the three subspecies of Melozone leucotis. Photographs were taken under the same light conditions at the Field Museum of Natural History, Chicago. The top row compares the ventral surfaces, the middle row shows lateral surfaces, and the bottom row shows dorsal surfaces.
FIGURE 1 in Phenotypic variation and vocal divergence reveals a species complex in White-eared Ground-sparrows (Cabanis) (Aves: Passerellidae)
FIGURE 1. Map of the distribution of the Melozone leucotis subspecies from southern Mexico to Costa Rica, based on data from Stiles & Skutch (1989), Howell & Webb (1995), and Rising (2011). Melozone l. occipitalis is separated from M. l. nigrior by at least 370 km, and M. l. nigrior is separated from M. l. leucotis by at least 250 km.
FIGURE 5 in Phenotypic variation and vocal divergence reveals a species complex in White-eared Ground-sparrows (Cabanis) (Aves: Passerellidae)
FIGURE 5. Sound spectrograms of two call types, male solo songs, and duets of the three subspecies of Melozone leucotis.
FIGURE 4. Mean reflectance spectra for ten body regions measured from three Melozone leucotis subspecies, M. l in Phenotypic variation and vocal divergence reveals a species complex in White-eared Ground-sparrows (Cabanis) (Aves: Passerellidae)
FIGURE 4. Mean reflectance spectra for ten body regions measured from three Melozone leucotis subspecies, M. l. leucotis (solid lines, N = 13), M. l. nigrior (dotted lines, N = 13), and M. l. occipitalis (dashed lines, N = 8). The gray area around each line represents standard error of the mean calculated at every 1nm.
FIGURE 1 in Tadpole and vocalizations of Chiasmocleis hudsoni (Anura, Microhylidae) in Central Amazonia, Brazil
FIGURE 1. Chiasmocleis hudsoni tadpole at stage 33. (A) Dorsal view; (B) lateral view (scale = 5 mm); (C) oral apparatus (scale = 1 mm). Specimen from Reserva Florestal Adolpho Ducke, Manaus, Amazonas, Brazil.
FIGURE 2 in Tadpole and vocalizations of Chiasmocleis hudsoni (Anura, Microhylidae) in Central Amazonia, Brazil
FIGURE 2. Spectrograms (above) and oscillograms (below) of (A) advertisement calls: a = introductory note; b = chorus note (recorded on 22 February 2005; air temperature 27.5 oC; 19:45 h), and (B) sporadic call (recorded on 06 March 2005; air temperature 29.7 oC; 17:15 h) of Chiasmocleis hudsoni. Specimens from Reserva Florestal Adolpho Ducke, Manaus, Amazonas, Brazil.
Data from: Snowmobile noise alters bird vocalization patterns during winter and pre-breeding season
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Raw data for Evaluating community-wide temporal sampling in passive acoustic monitoring: A comprehensive study of avian vocal patterns in subtropical montane forests
<p>This dataset, utilized in the research paper "<a href="https://doi.org/10.12688/f1000research.141951.1">Evaluating community-wide temporal sampling in passive acoustic monitoring: A comprehensive study of avian vocal patterns in subtropical montane forests</a>", comprises columns such as site_name, longitude (WGS84), latitude (WGS84), altitude (meters above sea level), vegetation types, date, hour, minute, julian_day, scientific_name, and Vocal Activity Rate per minute (VAR_m). It encompasses data gathered from twelve Passive Acoustic Monitoring (PAM) stations positioned within Yushan National Park (YSNP), Taiwan. The collection period spanned from March 1 to June 30, 2021. The dataset documents 8,202,731 vocalizations from twelve bird species, detected using an automated sound identification tool named SILIC (Sound Identification and Labeling Intelligence for Creatures). The vocalization data is aggregated by site, species, and time (down to the minute).</p>
Data and code for "Wild and captive immature orang-utans differ in their non-vocal communication with others, but not with their mothers"
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Supplementary File 1 Feeney et al., 2023 An audio clip of a typical uninterrupted territorial vocalization bout exhibited by the male lion (Shanto) on 03/11/2021 at 17:05
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Data Associated with Manuscript Titled "Evolution of Primate Vocal Repertoires: Vocalization Systems as Embodied Capital for Mediating Within-group Conflict"
<p><span>This is a dataset used in analyses of the macroevolution of primate vocal repertoire size interpreted in the associated manuscript titled "Evolution of Primate Vocal Repertoires: Vocalization Systems as Embodied Capital for Mediating Within-group Conflict." The first tab of the data file contains the following information for each of 42 primates species: maximum longevity (years), endocranial volume (cubic centimeters), log endocranial volume, body mass (g), log body mass, group size, within-group conflict score, vocal repertoire size, and research effort (number of zoological records). The second tab of the data file contains two tables, one reports maximum longevity (years), endocranial volume (cubic centimeters), log endocranial volume, group size, within-group conflict score, and vocal repertoire size values (mean, median, standard deviation, range) aggregated at the suborder, infraorder, superfamily, and family level, while the other reports those statistics aggregated at the family level. The third tab of the data file contains ancestral node ID, ancestral node age (in millions of years), reconstructed ancestral within-group conflict values (mean, 95% lower confidence interval, 95% upper confidence interval), and reconstructed ancestral vocal repertoire size values (mean, 95% lower confidence interval, 95% upper confidence interval). A .pdf file provides visualizations of ancestral character reconstruction (ACR) models with ancestral node IDs for Z-scored within-group conflict (panel A) and Z-scored vocal repertoire size (panel B). </span></p>
Brown-throated parakeet vocalization data
<p>Learned vocalizations play a key role in parrot social dynamics and vocal dialects have been documented for several mainland species, but to date no studies of geographically structured call variation in parrot species have examined the role of isolation on islands. In a study of the Brown-throated Parakeet (Eupsittula pertinax), which inhabits five small Caribbean islands as well as the adjacent mainland, we found that the contact calls of island and mainland parakeets show divergence in vocal characters as well as in call variability. We assessed call variation using three approaches: frequency measurements, spectrogram cross-correlation (SPCC) analyses, and call duration measurements. Island parakeets' calls were longer and had lower mean frequencies, and calls from different islands were distinguishable from each other as well as from mainland calls using measures derived from the SPCCs. In addition we measured call variability at two different levels—within-location and within-individual. We found calls to be more variable for island parakeets for SPCC and duration measures, but less variable for frequency measures. The observed call differentiation among locations may be due to drift, while the lower frequency of island calls could either be a response to the very windy environment on the islands or a consequence of the island subspecies' larger body sizes. We also hypothesize that the isolation of parakeet populations on very small islands may have resulted in reduced selection for local call convergence, allowing island parakeets to produce more variable calls. We suggest that due to poor signal transmission in the windy island environment, selective pressures may favor variability in more easily perceived call features (like call duration) rather than more subtle features, like frequency shifts. Experimental tests are required to determine whether observed call patterns translate into similarly structured patterns in the responses to vocal variants.</p>
The vocal repertoire of the bearded capuchin (Cebidae: Sapajus libidinosus): implications for understanding the complexity of neotropical primate communication
<p>Vocal communication is an essential aspect of primate social behaviour. The bearded capuchin <i>Sapajus libidinosus</i> is endemic to Brazil and some studies have described specific vocalisation types for this species; however, there is still no complete description of its vocal repertoire. Thus, this study aimed to describe the vocal repertoire of a group of <i>S. libidinosus</i> living in the<i> Parque Nacional de Brasília</i> (PNB), a protected area in the Cerrado area of Central Brazil. We carried out focal samplings and recording of vocalisations of members of a <i>S. libidinosus</i> troop in different behavioural contexts. The call analyses revealed 25 different types of vocalisations, and each call presented significant structural variation. We grouped these vocalisations according to the context of the emission or acoustic structure into the following categories: contact calls (contact note, infant babbling, trill, teeth- and lip-smacking, and sirena); foraging calls (chihui, grgr, and patinado); whistle series (WS; food-associated WS, long-distance WS, and inter-group encounter WS); aggressive calls (aggressive contact note, ascending rapid staccato, cough cough, and pip); calls in response to aggression (scream, squeal, and pulsed scream), sexual display calls (chuck and raspy oestrous call), and stress-related calls (alarm call/ bark, hiccup, hip, double hip, and wah wah). <i>S. libidinosus</i> presented a very rich vocal repertoire, revealing a pattern consistent with the repertoire of other capuchin monkey species. This is the first comprehensive description of the<i> S. libidinosus</i> vocal repertoire and highlights the complexity of neotropical primate communication.</p> <p>Vocal communication is an essential aspect of primate social behaviour. The bearded capuchin <i>Sapajus libidinosus</i> is endemic to Brazil and some studies have described specific vocalisation types for this species; however, there is still no complete description of its vocal repertoire. Thus, this study aimed to describe the vocal repertoire of a group of <i>S. libidinosus</i> living in the<i> Parque Nacional de Brasília</i> (PNB), a protected area in the Cerrado area of Central Brazil. We carried out focal samplings and recording of vocalisations of members of a <i>S. libidinosus</i> troop in different behavioural contexts. The call analyses revealed 25 different types of vocalisations, and each call presented significant structural variation. We grouped these vocalisations according to the context of the emission or acoustic structure into the following categories: contact calls (contact note, infant babbling, trill, teeth- and lip-smacking, and sirena); foraging calls (chihui, grgr, and patinado); whistle series (WS; food-associated WS, long-distance WS, and inter-group encounter WS); aggressive calls (aggressive contact note, ascending rapid staccato, cough cough, and pip); calls in response to aggression (scream, squeal, and pulsed scream), sexual display calls (chuck and raspy oestrous call), and stress-related calls (alarm call/ bark, hiccup, hip, double hip, and wah wah). <i>S. libidinosus</i> presented a very rich vocal repertoire, revealing a pattern consistent with the repertoire of other capuchin monkey species. This is the first comprehensive description of the<i> S. libidinosus</i> vocal repertoire and highlights the complexity of neotropical primate communication.</p>
Are some effector systems harder to switch to? In search of cost asymmetries when switching between manual, vocal, and oculomotor tasks
<p>Data of "Are some effector systems harder to switch to? In search of cost asymmetries when switching between manual, vocal, and oculomotor tasks ", Hoffmann, Koch, & Huestegge.</p> <p>Raw data of Experiment 1 and Experiment 2.</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.