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693 results for “vocalizations”

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dryad32/100

Data from: Interspecific dominance via vocal interactions mediates altitudinal zonation in Neotropical singing mice

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publicMay 2013View details →
dryad32/100

Data from: Vocal characteristics of prairie dog alarm calls across an urban noise gradient

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publicNov 2019View details →
dryad32/100

Brainstem control of vocalization and its coordination with respiration

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publicAug 2024View details →
dryad32/100

An analysis of avian vocal performance at the note and song levels

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publicAug 2020View details →
dryad32/100

Vocalizations of the squirrel family

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publicJul 2020View details →
zenodo28/100

Data_Effects of input modality on vocal effector prioritization in manual-vocal dual tasks

<p>Dual-task costs in RTs and error rates compared between effector systems in vocal-manual dual-tasks using either only auditory or only visual stimuli for both responses</p>

opencc-by-4.0Apr 2020View details →
zenodo28/100

Figure 5 from: Ferrão M, Moravec J, Hanken J, Lima AP (2020) A new species of Dendropsophus (Anura, Hylidae) from southwestern Amazonia with a green bilobate vocal sac. ZooKeys 942: 77-104. https://doi.org/10.3897/zookeys.942.51864

Figure 5 Preserved males of Dendropsophus bilobatus sp. nov. in dorsal view showing color variation. AINPA-H 41302, SVL = 19.4 mm BINPA-H 41304, SVL = 20.1 mm CINPA-H 41306, SVL = 20.8 mm. Scale bars: 10 mm. Photographs: Jeni Lima Magnusson.

opencc-by-4.0Jun 2020View details →
zenodo28/100

Figure 1 from: Ferrão M, Moravec J, Hanken J, Lima AP (2020) A new species of Dendropsophus (Anura, Hylidae) from southwestern Amazonia with a green bilobate vocal sac. ZooKeys 942: 77-104. https://doi.org/10.3897/zookeys.942.51864

Figure 1 Schematic map showing RAPELD sampling sites in the upper Madeira River, Brazilian Amazonia. Symbols: green squares, Dendropsophus sp. A; orange pentagons, Dendropsophus sp. B; red diamond and circle, type and paratype localities of Dendropsophus sp. nov., respectively; white circles, referred specimens of Dendropsophus sp. nov. West bank: M11, Module 11; TEO, Teotônio; BUF, Bufalo; PED, Pedras; JIE, Jirau-Esquerdo. East bank: MOR, Morrinhos; JAD, Jaci-Direito; JAN, Jaci-Novo; JID, Jirau-Direito.

opencc-by-4.0Jun 2020View details →
zenodo28/100

Figure 4 from: Ferrão M, Moravec J, Hanken J, Lima AP (2020) A new species of Dendropsophus (Anura, Hylidae) from southwestern Amazonia with a green bilobate vocal sac. ZooKeys 942: 77-104. https://doi.org/10.3897/zookeys.942.51864

Figure 4 Dendropsophus bilobatus sp. nov. from the Jaci-Parana River, a tributary of the east bank of the upper Madeira River, municipality of Porto Velho, Rondônia, Brazil, in life. A, B Holotype, INPA-H 41300, SVL = 18.8 mm, Jaci-Novo sampling site. C–E Adult male, INPA-H 41303, SVL = 19.9 mm, Jaci-Novo sampling site. F Adult male, INPA-H 41301, SVL = 18.9 mm, Jaci-Direito sampling site. Note the inflated translucent greenish bilobate vocal sac (A, C, D). Photographs: Albertina Pimentel Lima.

opencc-by-4.0Jun 2020View details →
zenodo28/100

Figure 2 from: Ferrão M, Moravec J, Hanken J, Lima AP (2020) A new species of Dendropsophus (Anura, Hylidae) from southwestern Amazonia with a green bilobate vocal sac. ZooKeys 942: 77-104. https://doi.org/10.3897/zookeys.942.51864

Figure 2 Maximum Likelihood phylogenetic tree of Dendropsophus inferred from the 16S rRNA mitochondrial gene (495 bp). Bootstrap values are shown close to nodes. Highlighted clades represent taxa from the upper Madeira River. Red horizontal bar denotes specimens from the east bank of the river; green and orange bars indicate specimens from the west bank.

opencc-by-4.0Jun 2020View details →
zenodo28/100

Figure 6 from: Ferrão M, Moravec J, Hanken J, Lima AP (2020) A new species of Dendropsophus (Anura, Hylidae) from southwestern Amazonia with a green bilobate vocal sac. ZooKeys 942: 77-104. https://doi.org/10.3897/zookeys.942.51864

Figure 6 Advertisement call of Dendropsophus bilobatus sp. nov. from the RAPELD Jaci-Novo sampling site, Jaci-Parana River, a tributary of the east bank of the upper Madeira River, municipality of Porto Velho, Rondônia, Brazil. A Oscillogram of a call series composed of 24 calls. Spectrograms (upper graphs) and oscillograms (lower graphs) of calls formed by B one C two D three and E four pulsed notes. Recorded male: INPA-H 41303. Air temperature: 25.7 °C.

opencc-by-4.0Jun 2020View details →
zenodo28/100

Figure 3 from: Ferrão M, Moravec J, Hanken J, Lima AP (2020) A new species of Dendropsophus (Anura, Hylidae) from southwestern Amazonia with a green bilobate vocal sac. ZooKeys 942: 77-104. https://doi.org/10.3897/zookeys.942.51864

Figure 3 Dorsal view of the body (A) and ventral views of the body (B), hand (C) and foot (D) of the preserved holotype of Dendropsophus bilobatus sp. nov. (INPA-H 41300) from the RAPELD Jaci-Novo sampling site, east bank of the upper Madeira River, municipality of Porto Velho, Rondônia, Brazil. Scale bars: 5 mm. Photographs: Jeni Lima Magnusson.

opencc-by-4.0Jun 2020View details →
zenodo28/100

Figure 6 in The vocal repertoire of Myrmeciza loricata (Lichtenstein, 1823) (Aves: Thamnophilidae)

Figure 6. Sonograms of the note "C" (call III) of Myrmeciza loricata. (A) Note "C" emitted singly. (B) Note "C" emitted with call I (alarm). (C) Note "C" emitted with male song. (D) Note "C" emitted with call II.

opencc-by-4.0Feb 2014View details →
zenodo28/100

Figure 5 in The vocal repertoire of Myrmeciza loricata (Lichtenstein, 1823) (Aves: Thamnophilidae)

Figure 5. Sonograms of the call II of Myrmeciza loricata. (A) Sequences of phrases and notes. (B) Notes emitted singly. (C) Notes emitted in phrase during the flight. (D) Note showing strongly down-slurred rapid modulations (wheezing quality).

opencc-by-4.0Feb 2014View details →
zenodo28/100

Figure 3 in The vocal repertoire of Myrmeciza loricata (Lichtenstein, 1823) (Aves: Thamnophilidae)

Figure 3. Sonograms of the songs and duet of Myrmeciza loricata. (A) Male song. (B) 1-male phrase song, 2-female phrase song with alternated notes. (C) 1-male phrase song, 2-female phrase song with initial trill followed by alternated notes. (D) 1-male phrase song, 2-male and female overlapped phrases song.

opencc-by-4.0Feb 2014View details →
zenodo28/100

Figure 2 in The vocal repertoire of Myrmeciza loricata (Lichtenstein, 1823) (Aves: Thamnophilidae)

Figure 2. Bounds of the selection to determine the beginning and end of the phrase and the maximum and minimum frequencies.

opencc-by-4.0Feb 2014View details →
zenodo28/100

Figure 1 in The vocal repertoire of Myrmeciza loricata (Lichtenstein, 1823) (Aves: Thamnophilidae)

Figure 1. Study area – map and location of the Poço D'Anta Biological Reserve, Juiz de Fora, MG, Brazil.

opencc-by-4.0Feb 2014View details →
dryad28/100

Data from: Uneven sampling and the analysis of vocal performance constraints

Studies of trilled vocalizations provide a premiere illustration of how performance constraints shape the evolution of mating displays. In trill production, vocal tract mechanics impose a trade-off between syllable repetition rate and frequency bandwidth, with the trade-off most pronounced at higher values of both parameters. Available evidence suggests that trills that simultaneously maximize both traits are more threatening to males or more attractive to females, consistent with a history of sexual selection favoring high-performance trills. Here, we identify a sampling limitation that confounds the detection and description of performance trade-offs. We reassess 70 data sets (from 26 published studies) and show that sampling limitations afflict 63 of these to some degree. Traditional upper-bound regression, which does not control for sampling limitations, detects performance trade-offs in 33 data sets; yet when sampling limitations are controlled, performance trade-offs are detected in only 15. Sampling limitations therefore confound more than half of all performance trade-offs reported using the traditional method. An alternative method that circumvents this sampling limitation, which we explore here, is quantile regression. Our goal is not to question the presence of mechanical trade-offs on trill production but rather to reconsider how these trade-offs can be detected and characterized from acoustic data.

opencc-zeroDec 2012View details →
dryad28/100

Data from: Relationship between the sequencing and timing of vocal motor elements in birdsong

Accurate coordination of the sequencing and timing of motor gestures is important for the performance of complex and evolutionarily relevant behaviors. However, the degree to which motor sequencing and timing are related remains largely unknown. Birdsong is a communicative behavior that consists of discrete vocal motor elements ('syllables') that are sequenced and timed in a precise manner. To reveal the relationship between syllable sequencing and timing, we analyzed how variation in the probability of syllable transitions at branch points, nodes in song with variable sequencing across renditions, correlated with variation in the duration of silent gaps between syllable transitions ('gap durations') for adult Bengalese finch song. We observed a significant negative relationship between transition probability and gap duration: more prevalent transitions were produced with shorter gap durations. We then assessed the degree to which long-term age-dependent changes and acute context-dependent changes to syllable sequencing and timing followed this inverse relationship. Age- but not context-dependent changes to syllable sequencing and timing were inversely related. On average, gap durations at branch points decreased with age, and the magnitude of this decrease was greater for transitions that increased in prevalence than for transitions that decreased in prevalence. In contrast, there was no systematic relationship between acute context-dependent changes to syllable sequencing and timing. Gap durations at branch points decreased when birds produced female-directed courtship song compared to when they produced undirected song, and the magnitude of this decrease was not related to the direction and magnitude of changes to transition probabilities. These analyses suggest that neural mechanisms that regulate syllable sequencing could similarly control syllable timing but also highlight mechanisms that can independently regulate syllable sequencing and timing.

opencc-zeroDec 2014View details →
dryad28/100

Data from: Temporal variation in the vocal behaviour of southern right whales in the Auckland Islands, New Zealand

Autonomous recorders are frequently utilised for examining vocal behaviour of animals, and are particularly effective in remote habitats. Southern right whales are known to have an extensive acoustic repertoire. A recorder was moored at the isolated sub-Antarctic Auckland Islands for a year to examine whether the acoustic behaviour of southern right whales differed seasonally and throughout the day at their main calving ground in New Zealand. Recordings were made in each month except June, and vocalisations were audible in all months with recordings except January. A total of 35,487 calls were detected, of which upcalls were the most common (11,623). Call rate peaked in August (288±5.9 [SE] calls/hour) and July (194±8.3). Vocal behaviour varied diurnally with highest call rates detected at dusk and night, consistent with the concept that upcalls function primarily as contact calls. Zero-inflated model results confirmed that seasonal variation was the most important factor for explaining differences in vocal behaviour. An automated detector designed to expedite the analysis process for North Atlantic right whales correctly identified 80% of upcalls, although false detections were frequent, particularly when call rates were low. This study is the first to attempt year-round monitoring of southern right whale presence in New Zealand.

opencc-zeroDec 2018View details →

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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.

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OpenNeuro

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Last verified 2026-04-29Open record