Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
693
datasets available to search
ShareScore release 0.9.0
Dataset results
693 results for “Vocalization”
Fig. 3 in Acoustic communication in the Lusitanian toadfish, Halobatrachus didactylus: evidence for an unusual large vocal repertoire
Fig. 3. During the present study, nesting Lusitanian toadfish males emitted sounds that have not previously been described such as triple croaks (A), long grunt trains (B) and combinations of long grunt trains with other sound types (C). In (C) a long grunt train (thin line) combines with a grunt train (double line) that ends in a croak (thick line), which blends into a boatwhistle (dashed line), which is then followed by another long grunt train (thin line). Note that in (C), the LGT is hardly visible in the oscillogram due its much lower amplitude than the other sounds. Sonograms used a 30 Hz filter bandwidth.
Fig. 2 in Acoustic communication in the Lusitanian toadfish, Halobatrachus didactylus: evidence for an unusual large vocal repertoire
Fig. 2. Mean percentage of the different sound types emitted per hour by 16 nesting males during one week in the peak of the breeding season.
Vocalizations of the squirrel family
<p>The dataset <b>Squirrel_Calls</b> is a collection of vocal records (defined as primary literature that numerically describes the vocalization of at least 1 squirrel species) where each row corresponds to a single call type of one species. The details of the row include a summary of the literature metadata, categorical descriptions of the call and the caller as well as numerical values of the call frequencies. The dataset <b>Squirrel_Ecological_Traits</b> is a corresponding set of ecological traits for all the species listed in the Squirrel_Calls dataset. The traits listed (mass, time partitioning, gliding capabilities, habitat, and sociality) reflect hypotheses and predictions explored in the associated article. At the end of this document, there is a complete list of the literature references used to assemble these datasets. <b>Squirrel_Script </b>is the R script used to produce the statistics and models used in the corresponding paper. <b>Squirrel_Tree </b>is a nexus file compiling the data of 1000 trees downloaded from VertLife.org which were subsetted from their published mammalian supertree. The nexus file was used in the R script.</p>
An analysis of avian vocal performance at the note and song levels
<p>Sexual displays that require extreme feats of physiological performance have the potential to reliably indicate the signaller's skill or motivation. We tested for evidence of performance constraints in Adelaide's warblers (<i>Setophaga adelaidae</i>) songs. At the note level, we identified three trade-offs with well-defined limits. At the song level, we identified two trade-offs, but their limits were less well-defined than the note-level limits. Trade-offs at both levels suggest that song structure is constrained by limits to the speed of both frequency modulation (while vocalizing and between notes) and respiration. Performance metrics derived from the observed limits to performance varied moderately among individuals and strongly among song types. Note-level performance metrics were positively skewed, as predicted by the hypothesis that performance is constrained. We conclude that physiological limits on frequency modulation and respiration constrain song structure in male Adelaide's warblers. Further work is needed to determine whether receivers respond to natural levels of variation in performance, and whether performance correlates with singer quality or motivation.</p>
The Variably Intense Vocalizations of Affect and Emotion Corpus (VIVAE)
<p> </p> <p><strong>VIVAE</strong></p> <p>The Variably Intense Vocalizations of Affect and Emotion Corpus (VIVAE) consists of a set of human non-speech emotion vocalizations. The<em> full set,</em> comprising 1085 audio files, features eleven speakers expressing three positive (achievement/ triumph, sexual pleasure, and surprise) and three negative (anger, fear, physical pain) affective states, each parametrically varied from low to peak emotion intensity. The smaller <em>core set </em>of 480 files represents a fully crossed subsample of the full set (6 emotions x 4 intensities x 10 speakers x 2 items) selected based on judged authenticity. </p> <p> </p> <p>Please visit our academic paper for full details: </p> <p><strong>Holz, N., Larrouy-Maestri, P., & Poeppel, D. (2022). The Variably Intense Vocalizations of Affect and Emotion (VIVAE) corpus prompts new perspective on nonspeech perception. <em>Emotion, 22</em>(1), 213–225. <a href="http://dx.doi.org/10.1037/emo0001048">http://dx.doi.org/10.1037/emo0001048</a> </strong></p> <p> </p> <p><strong>File summary</strong></p> <p>The recordings are digitized at a 44.1-kHz sampling rate and 16-bit resolution.</p> <p>Each of the 1085 VIVAE files has a unique filename following the file naming convention: [Speaker_Emotion_Intensity_Item-ID.wav]. The filename consists of a 4-part identifier (e.g., S04_surprise_peak_10.wav) defining the stimulus characteristics:</p> <p><em>Filename identifiers </em></p> <ul> <li>Speaker (S01 to S11).</li> <li>Emotion (achievement, anger, fear, pain, pleasure, and surprise).</li> <li>Emotional intensity (low, moderate, strong, peak).</li> <li>Item-ID (unique integer identifier within speaker x emotion x intensity conditions) </li> </ul> <p><em>Folder structure</em></p> <ul> <li>Full set: all 1085 VIVAE files</li> <li>Core set: selected 480 VIVAE files </li> </ul> <p> </p> <p><strong>Citing the VIVAE</strong></p> <p>Please cite the VIVAE if it is used in your work in any form. Academic works should use the citation for our academic paper.</p> <p>Holz, N., Larrouy-Maestri, P., & Poeppel, D. (2022). The Variably Intense Vocalizations of Affect and Emotion (VIVAE) corpus prompts new perspective on nonspeech perception. <em>Emotion, 22</em>(1), 213-225. http://dx.doi.org/10.1037/emo0001048<strong> </strong></p> <p> </p> <p><strong>License information</strong></p> <p>The VIVAE is released under a Creative Commons Attribution-NonCommercial 4.0 International License, <a href="https://creativecommons.org/licenses/by-nc/4.0/legalcode">CC BY-NC 4.0</a>. </p> <p>For VIVAE usage inquiries not specified or accredited under the CC BY-NC 4.0 license, please contact us at <a href="mailto:natalie.holz@ae.mpg.de">natalie.holz@ae.mpg.de</a> to request permission.</p> <p> </p>
FIGURE 1 in A grave drum at rocky springs: the vocalization of Bokermannohyla alvarengai (Anura: Hylidae) from the Espinhaço Range, southeastern Brazil, with notes on its natural history
FIGURE 1. (A) Oscillogram showing a sequence of five advertisement calls of Bokermannohyla alvarengai from Bar"o de Cocais, Minas Gerais (MG), eastern Brazil (sound archive = CBUFMG-113 (voucher specimen UFMG 14954); air temperature 21 ºC). (B) Spectrogram (upper panel) and respective oscillogram (lower panel) detailing the call highlighted in (A); the bar represents total call duration. (C) Oscillogram showing the higher call rate of a background individual (BI) compared to the focal individual of the recording (FI) (sound archive = CBUFMG-302; from Santana do Riacho, MG; air temperature 18 ºC). (D) An uncollected female in a remnant puddle from a temporary stream next to egg clutches with embryos at different developmental stages. Photo by H. Thomassen
Data from: An archive of longitudinal recordings of the vocalizations of adult Gombe chimpanzees
Studies of chimpanzee vocal communication provide valuable insights into the evolution of communication in complex societies, and also comparative data for understanding the evolution of human language. One particularly valuable dataset of recordings from free-living chimpanzees was collected by Frans X. Plooij and the late Hetty van de Rijt-Plooij at Gombe National Park, Tanzania (1971–73). These audio specimens, which have not yet been analysed, total over 10 h on 28 tapes, including 7 tapes focusing on adult individuals with a total of 605 recordings. In 2014 the first part of that collection of audio specimens covering the vocalizations of the immature Gombe chimpanzees was made available. The data package described here covers the vocalizations of the adult chimpanzees. We expect these recordings will prove useful for studies on topics including referential signalling and the emergence of dialects. The digitized sound recordings were stored in the Macaulay Library and the Dryad Repository. In addition, the original notes on the contexts of the calls were translated and transcribed from Dutch into English.
Data from: Longitudinal recordings of the vocalizations of immature Gombe chimpanzees for developmental studies
Many researchers are interested in chimpanzee vocal communication, both as an important aspect of chimpanzee social behavior and as a source of insights into the evolution of human language. Nonetheless, very little is known about how chimpanzee vocal communication develops from infancy to adulthood. The largest dataset of audiorecordings from free-living immature chimpanzees was collected by the late Hetty van de Rijt-Plooij and Frans X. Plooij at Gombe National Park, Tanzania (1971–1973). These recordings have not yet been analysed. Therefore, the most extensive effort to study the development of chimpanzee vocalizations remains unfinished. The audiospecimens total over 10 h on 28 tapes, including 20 tapes focusing on 17 specific immature individuals with a total of 1,136 recordings. In order to make this dataset available to more researchers, the analogue sound recordings were digitized and stored in the Macaulay Library and the Dryad Repository. In addition, the original notes on the contexts of the calls were translated and transcribed from Dutch into English.
Data from: Vocal characteristics of prairie dog alarm calls across an urban noise gradient
<p>Increasing anthropogenic noise is having a global impact on wildlife, particularly due to the masking of crucial acoustical communication. However, there have been few studies examining the impacts of noise exposure on communication in free-ranging terrestrial mammals. We studied alarm calls of black-tailed prairie dogs (<i>Cynomys ludovicianus</i>) across an urban gradient to explore vocal adjustment relative to different levels of noise exposure. There was no change in the frequency 5%, peak frequency or duration of the alarm calls across the noise gradient. However, the minimum frequency – a commonly used, yet potentially compromised metric – did indeed show a positive relationship with noise exposure. We suspect this is a result of masking of observable call properties by noise, rather than behavioural adjustment. In addition, the proximity of conspecifics and the distance to<span> </span><span><span>the perceived threat (observer)</span></span><span> did </span>affect the frequency 5% of alarm calls. These results reveal that prairie dogs do not appear to be adjusting their alarm calls in noisy environments but likely do in relation to their social context and the proximity of a predatory threat. Anthropogenic noise can elicit a range of behavioural and physiological responses across taxa, but elucidating the specific mechanisms driving these responses can be challenging, particularly as these are not necessarily mutually exclusive. Our research sheds light on how prairie dogs appear to respond to noise as a source of increased risk, rather than as a distraction or through acoustical masking as shown in other commonly studied species (e.g. fish, songbirds, marine mammals).</p>
Data from: Social group signatures in hummingbird displays provide evidence of co-occurrence of vocal and visual learning
Vocal learning, in which animals modify their vocalizations based on social experience, has evolved in several lineages of mammals and birds, including humans. Despite much attention, the question of how this key cognitive trait has evolved remains unanswered. The motor theory for the origin of vocal learning posits that neural centers specialized for vocal learning arose from adjacent areas in the brain devoted to general motor learning. One prediction of this hypothesis is that visual displays that rely on complex motor patterns may also be learned in taxa with vocal learning. While learning of both spoken and gestural languages is well-documented in humans, the occurrence of learned visual displays has rarely been examined in non-human animals. We tested for geographic variation consistent with learning of visual displays in long-billed hermits (Phaethornis longirostris), a lek-mating hummingbird that, like humans, has both learned vocalizations and elaborate visual displays. We found lek-level signatures in both vocal parameters and visual display features, including element proportions, sequence syntax, and fine-scale parameters of elements. This variation was not associated with genetic differentiation between leks. In the absence of genetic differences, geographic variation in vocal signals at small scales is most parsimoniously attributed to learning, suggesting a significant role of social learning in visual display ontogeny. The co-occurrence of learning in vocal and visual displays would be consistent with a parallel evolution of these two signal modalities in this species.
Data from: Interspecific dominance via vocal interactions mediates altitudinal zonation in Neotropical singing mice
Interspecific aggression between ecologically similar species may influence geographic limits by mediating competitive exclusion at the range edge. Advertisement signals that mediate competitive interactions within species may also provide social information that contributes to behavioral dominance and spatial segregation among species. We studied the mechanisms underlying altitudinal range limits in Neotropical singing mice (Scotinomys), a genus of muroid rodent in which males vocalize to repel rivals and attract mates. We first delineated replacement zones and described temperature regimes on three mountains in Costa Rica and Panama where Chiriquí singing mice (S. xerampelinus) abruptly replace Alston's singing mice (S. teguina). Next, we conducted interspecific behavioral trials and reciprocal removal experiments to examine if interspecific aggression mediated species replacement. Finally, we performed reciprocal playback experiments to investigate whether response to song matched competitive interactions. Behavioral trials and removal experiments suggest that S. xerampelinus is behaviorally dominant and excludes S. teguina from higher, cooler altitudes. Playback experiments indicate that subordinate S. teguina is silenced and repelled by heterospecific song, whereas S. xerampelinus responded to heterospecifics with approach and song rates comparable to responses to conspecifics. Thus, interspecific communication reflects underlying dominance and suggests that acoustic signaling contributes to altitudinal zonation of ecologically similar congeners. Our findings implicate the use of social information in structuring spatial distributions of animal communities across landscapes and provide insight into how large-scale patterns are generated by individual interactions.
Data from: Predicting the effect of urban noise on the active space of avian vocal signals
Urbanization changes the physical environment of non-human species, but also markedly changes their acoustic environment. Urban noise interferes with acoustic communication in a range of animals including birds, with potentially profound impacts on fitness. However, a mechanistic theory to predict which species of birds will be most affected by urban noise is lacking. We develop a mathematical model to predict the decrease in the active space of avian vocal signals when moving from quiet forest habitats to noisy urban habitats, and find that the magnitude of the decrease is largely a function of signal frequency. However, this relationship is not monotonic. A meta-regression of observed increases in the frequency of birdsong in urban noise supports the model's predictions for signals with frequencies between 1.5 and 4 kHz. Using the results of the meta-regression and the model described above, we show that the expected gain in active space following observed frequency shifts is up to 12%, and greatest for birds with signals at the lower end of this frequency range. Our generally-applicable model, along with three predictions regarding the behavioral and population-level responses of birds to urban noise, represents an important step towards a theory of acoustic communication in urban habitats.
Data from: Overlapping vocalizations produce far-reaching choruses: a test of the signal enhancement hypothesis
Many animals gather in large groups to mate. When these animals produce sexual signals, their signals may overlap. The signal enhancement hypothesis proposes that overlapping signals exhibit enhanced transmission properties, increasing the active space and potency of the signal. We tested this hypothesis using multispeaker playback to simulate a chorus of explosively breeding Neotropical Yellow Toads (Incilius luetkenii). We varied the number of simulated males and the frequency of their vocalizations and we rerecorded the choruses at different distances through this species' native habitat in Costa Rica. Our results support the signal enhancement hypothesis: transmission distance increased with the number of simultaneous calls. Call frequency varies inversely with body size in many animals, including Yellow Toads, and our results reveal that the signal enhancement effect of overlapping calls is heightened when the calls are low in frequency (i.e., a chorus of large-bodied animals) compared to medium or high frequency (i.e., a chorus of smaller-bodied animals). Our findings represent the first experimental demonstration of chorus-level signal enhancement in the vocalizations of vertebrates.
Network analysis reveals underlying syntactic features in a vocally learnt mammalian display, humpback whale song
<p>Vocal communication systems have a set of rules that govern the arrangement of acoustic signals, broadly defined as 'syntax'. However, there is a limited understanding of potentially shared or analogous rules across vocal displays in different taxa. Recent work on songbirds has investigated syntax using network-based modelling. This technique quantifies features such as connectivity (adjacent signals in a sequence) and recurring patterns. Here, we apply network-based modelling to the complex, hierarchically structured songs of humpback whales (Megaptera novaeangliae) from east Australia. Given the song's annual evolving pattern and the cultural conformity of males within a population, network modelling captured the patterns of multiple song types over 13 consecutive years. Song arrangements in each year displayed clear "small-world" network structure, characterised by clusters of highly connected sounds. Transitions between these connected sounds further suggested a combination of both structural stability and variability. Small-world network structure within humpback songs may facilitate the characteristic and persistent vocal learning observed. Similar small-world structures and transition patterns are found in several birdsong displays, indicating common syntactic patterns among vocal learning in multiple taxa. Understanding the syntactic rules governing vocal displays in multiple, independently evolving lineages may indicate what rules or structural features are important to the evolution of complex communication, including human language. </p>
Data from: Ultrasonic vocalizations emitted by flying squirrels
Anecdotal reports of ultrasound use by flying squirrels have existed for decades, yet there has been little detailed analysis of their vocalizations. Here we demonstrate that two species of flying squirrel emit ultrasonic vocalizations. We recorded vocalizations from northern (Glaucomys sabrinus) and southern (G. volans) flying squirrels calling in both the laboratory and at a field site in central Ontario, Canada. We demonstrate that flying squirrels produce ultrasonic emissions through recorded bursts of broadband noise and time-frequency structured frequency modulated (FM) vocalizations, some of which were purely ultrasonic. Squirrels emitted three types of ultrasonic calls in laboratory recordings and one type in the field. The variety of signals that were recorded suggest that flying squirrels may use ultrasonic vocalizations to transfer information. Thus, vocalizations may be an important, although still poorly understood, aspect of flying squirrel social biology.
Data from: Cooperative breeding influences the number and type of vocalizations in avian lineages
Although communicative complexity is often predicted to correlate with social complexity in animal societies, few studies have employed large-scale comparative analyses to test whether socially complex species have more complex systems of communication. I tested this social complexity hypothesis in birds (Class: Aves) using the large amount of natural history information that describes both vocal repertoire and social system in these species. To do so, I marshalled data from primary and secondary records of avian vocal repertoires (n = 253), and for each of the species in the dataset I recorded the reported repertoire size and associated species information. Using phylogenetic comparative methods, I found that cooperative breeding was a strong and repeatable predictor of vocal repertoire size, while other social variables, e.g. group size and group stability, had little or no influence on repertoire size. Importantly, repertoire sizes expanded concurrently with the evolution of cooperative breeding, suggesting a direct link between these two traits. Cooperatively breeding species devoted significantly more of their repertoire to contact calls and alarm calls. Overall, these results therefore lend support to the hypothesis that social complexity via behavioural coordination leads to increases in vocal complexity.
Vocal imitations of non-vocal sounds
<p>Vocal imitations of everyday sounds. There are two families (interactions and products), 10 imitators (I#), 8 categories, and 2 sounds per categories</p>
FIGURE 10 in Larval morphology and complex vocal repertoire of Rhacophorus helenae (Anura: Rhacophoridae), a rare flying frog from Vietnam
FIGURE 10. Proportions (%) of simple tonal calls (black) and other call types (grey) in the three parts of a natural calling session of Rhacophorus helenae containing 15 call series.
FIGURE 9 in Larval morphology and complex vocal repertoire of Rhacophorus helenae (Anura: Rhacophoridae), a rare flying frog from Vietnam
FIGURE 9. Proportions (%) of different calls types in the initial and final (A) and middle (B) parts of all series within the recorded calling session of Rhacophorus helenae.
FIGURE 3 in Larval morphology and complex vocal repertoire of Rhacophorus helenae (Anura: Rhacophoridae), a rare flying frog from Vietnam
FIGURE 3. External morphology of the tadpole of Rhacophorus helenae (ZMMU NAP-03164, Stage 37, TL 40.1 mm). (A) lateral view; (B) dorsal view; (C) coloration in preservative.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.