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693 results for “vocals”
Fig. 7 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations
Fig. 7 Bayesian skyline plots (BSPs) for effective female population sizes for haplogroups, subspecies, and populations of Pica pica. a Comparison of 6 haplogroups, depicted in the network Fig. 4. b Comparison of 6 subspecies. c Comparison of 4 populations of P. p. jankowskii. d Comparison of 3 populations of P. p. leucoptera.
Fig. 6 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations
Fig. 6 Mismatch distribution of nucleotide differences in populations representing different haplogroups as at Figs. 4 and 5. X-axis— number of nucleotide differences; Y-axis—proportion (frequency). Solid lines—expected distributions (under expectation of population growth); dashed lines—observed distributions. a Haplogroup 1:
Fig. 5 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations
Fig. 5 Time-calibrated Bayesian tree based on mitochondrial control region sequences of Pica pica. Numbers at the branches indicate Bayesian posterior probability values (left) and bootstrap values of the ML analysis (right, in percent). Triangle widths are proportional to specimen numbers. Blue bars next to nodes indicate 95% credibility intervals for their age estimates. The figures in bold and the time scale below are in million years (Ma) before present
Fig. 4 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations
Fig. 4 Phylogenetic medianjoining network based on 256 mitochondrial control region sequences. Sizes of circles correspond to the number of birds sharing this haplotype; branch lengths are proportional to the number of substitutions and those over 2 are shown at the branches. Haplogroups 1–6 are indicated by numbers
Fig. 2 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations
Fig. 2 Map of sampling localities for mitochondrial DNA analysis in the zone of contact between Pica pica leucoptera and Pica pica jankowskii. Distribution of haplotypes is indicated by colours: Pica
Vocal imitation of synthesised sounds varying in pitch, loudness and spectral centroid
<p>Dataset from the vocal imitation (production) task. Includes the audio stimuli, extracted audio features (for both stimuli and imitations) and extracted parameters, along with participant metadata. Please see the paper for further details. </p> <p>Details of fields in parameter_data.csv:</p> <p>Participant: index from 0-18</p> <p>sex: male/female</p> <p>singer: 1 if participant had been singer for > 5 years, 0 if not</p> <p>feature: feature that the parameter data was extracted for</p> <p>envelope: up/down for ramps, fast(5Hz)/slow(2Hz) for modulations</p> <p>fail: instances where the imitation failed to meet the criteria (see paper for details)</p> <p>rate: ratio of the modulation rate</p> <p>extent: extent of the modulation</p> <p>range: range of the ramp</p> <p>slope: slope of the ramp</p> <p>stimtype: type of stimulus, where single = single features, pitchamps = pitch & loudness combinations, pitchspecs = pitch & spectral centroid combinations</p> <p>stimlabel: label for each stimulus. The letter indicates the feature (p=pitch, a=loudness, s=spectral centroid) and the number indicates the envelope (1 = ramp down, 2 = ramp up, 3 = 5Hz modulation, 4 = 2Hz modulation)</p>
Recordings of zebra finch group behaviors with manually annotated vocal segments
<div> <div>This dataset contains recording files and manually annotated vocal segments of freely behaving zebra finches in the BirdPark. The files contain animal-borne accelerometer, microphone and video channels. Birds are housed in groups of different sizes (2, 4, or 8 birds, (one 7-mins file per group). The dataset contains 112 mins of recordings from 4 different experiments.</div> </div> <p>The dataset is published as an appendix of the following paper:</p> <p><a href="https://doi.org/10.1101/2022.09.23.509166">Rüttimann, L., Wang, Y., Rychen, J., Tomka, T., Hörster, H., Rocha, M. D., & Hahnloser, R. H. (2024). Multimodal system for recording individual-level behaviors in songbird groups. bioRxiv.</a></p> <p>See the README.pdf file for a detailed description.</p>
Dataset - mouse spontaneous ultrasonic vocalizations
<p>This datasets includes all data used in our study " LMT USV Toolbox, a novel methodological approach to place mouse ultrasonic vocalizations in their behavioral contexts – A study in female and male C57BL/6J mice and in Shank3 mutant females". A "readme" file describes the type of analyses based on each data file.</p>
Figure 2 in Vocalizations of the Brazilian torrent frog Hylodes heyeri (Anura: Hylodidae): Repertoire and influence of air temperature on advertisement call variation
Figure 2. Territorial call of Hylodes heyeri from the Municipality of Morretes, Parana´, Brazil. Recorded on 11 January 2002, at 22.4°C. (A) Power spectrum; (B) spectrogram; (C) oscillogram.
Figure 3 in Vocalizations of the Brazilian torrent frog Hylodes heyeri (Anura: Hylodidae): Repertoire and influence of air temperature on advertisement call variation
Figure 3. Mean number of advertisement calls (bars) emitted by males of Hylodes heyeri during 5 min of monitoring each hour, and air temperature (line).
Figure 12 in Morphological, vocal and genetic divergence in the Cettia acanthizoides complex (Aves: Cettiidae)
Figure 12. Two strophes of a less common type of song of Cettia brunnescens, West Bengal, India, May; same individual as in Figure 8; tape recording by Per Alström.
Figure 10. A cut from part II in Morphological, vocal and genetic divergence in the Cettia acanthizoides complex (Aves: Cettiidae)
Figure 10. A cut from part II and the beginning of part III of the song of Cettia brunnescens, West Bengal, India, May, different individual compared with Figures 8 and 9. Tape recording by Per Alström.
Figure 11. A in Morphological, vocal and genetic divergence in the Cettia acanthizoides complex (Aves: Cettiidae)
Figure 11. A, one song strophe of Cettia brunnescens, Uttaranchal, India, June; tape recording by Pratap Singh. B, the same recording as that shown in (A) but with the detail from part II at a higher time resolution. C, a different song strophe from the same individual. Detail from part II at a higher time resolution.
Figure 7 in Morphological, vocal and genetic divergence in the Cettia acanthizoides complex (Aves: Cettiidae)
Figure 7. One song strophe of Cettia brunnescens, Arunachal Pradesh, India, June; tape recording by Pratap Singh.
Figure 9 in Morphological, vocal and genetic divergence in the Cettia acanthizoides complex (Aves: Cettiidae)
Figure 9. One song strophe of Cettia brunnescens, West Bengal, India, May; tape recording by Per Alström.
Figure 8. A in Morphological, vocal and genetic divergence in the Cettia acanthizoides complex (Aves: Cettiidae)
Figure 8. A, one song strophe of Cettia brunnescens, West Bengal, India, May; tape recording by Per Alström. This is from a different individual than the song strophe shown in Figure 9. B, the same recording as that shown in (A) but with the detail from part II and the beginning of part III at a higher time resolution.
Figure 3 in Morphological, vocal and genetic divergence in the Cettia acanthizoides complex (Aves: Cettiidae)
Figure 3. One song strophe of Cettia a. acanthizoides, Shaanxi, China, June; tape recording by Per Alström.
Figure 2 in Morphological, vocal and genetic divergence in the Cettia acanthizoides complex (Aves: Cettiidae)
Figure 2. Plot of canonical scores from discriminant functions analysis between members of the Cettia acanthizoides group.
Figure 14. Cytochrome b in Morphological, vocal and genetic divergence in the Cettia acanthizoides complex (Aves: Cettiidae)
Figure 14. Cytochrome b tree of the three taxa in the Cettia acanthizoides complex and Cettia cetti albiventris, rooted with Phylloscopus chloronotus, estimated by Bayesian inference under the GTR + I model. Posterior probabilities (81 000 trees) are shown above nodes, and parsimony bootstrap values (1000 replicates) are shown below nodes.
Figure 5. A in Morphological, vocal and genetic divergence in the Cettia acanthizoides complex (Aves: Cettiidae)
Figure 5. A, one song strophe of Cettia a. acanthizoides, Fujian, China, May; tape recording by Per Alström. B, the same recording as that shown in (A) but with the detail from part II at a higher time resolution.
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.