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126 results for “chorusing”
FIG. 2. Species tree for P in Hidden Diversity in the Mountain Chorus Frog (Pseudacris brachyphona) and the Diagnosis of a New Species of Chorus Frog in the Southeastern United States
FIG. 2. Species tree for P. brachyphona as estimated in ASTRAL. Numbers on the branches are local posterior probabilities/boostrap support values from RAxML (A). The identifiers are field numbers, followed by the ''I'' number (DNA sample identifier, see Table 1). State abbreviation and county where the sample was collected are also shown. The tree shows two well-supported clades, corresponding to P. brachyphona from the Northern and Southern distribution ranges, respectively. Pseudacris brimleyi and P. feriarum were included as outgroups. Branch lengths (B) are shown in the inset tree generated with RAxML.
FIG. 1 in Hidden Diversity in the Mountain Chorus Frog (Pseudacris brachyphona) and the Diagnosis of a New Species of Chorus Frog in the Southeastern United States
FIG. 1. Samples of the Mountain Chorus Frog collected for this study and used in genetic analyses. Frogs were collected at several locations (solid dots) throughout the Appalachian Mountains in Eastern U.S. As outgroups, specimens of P. brimleyi and P. feriarum (solid and hollow triangles, respectively) were collect- ed.
Data from: A chorus of color: hierarchical and graded information content of rapid color change signals in chameleons
Animals rely on information-rich signals to minimize costs associated with competition. If fighting ability is linked to stable individual attributes (e.g. morphology), the signals that communicate information about such ability should be relatively static. Conversely, the temporal variability of motivation should favor dynamic threat signals that indicate an animal's likelihood of escalating a contest. Though static colors are used by many animals to signal quality or fighting ability, the function of dynamic color change as a social signal has only recently begun to be investigated. Here, we examined the information content of rapid physiological color changes displayed by adult male veiled chameleons Chamaeleo calyptratus during agonistic interactions by conducting experimental trials between live chameleons and standardized, experimentally-controlled robochameleon models. Chameleons reliably communicated motivation with dynamic color displays – individuals that brightened were 14 times more likely to approach the robochameleon than non-brightening individuals. Additionally, chameleons with shorter latencies to maximum stripe brightness had stronger bites, and those displaying brighter, yellower stripes exhibited more aggression. The parallels between dynamic color changes and the vocalizations used to mediate aggressive interactions in other taxa are numerous. The use of particular vocalizations/color changes can signal motivation levels while specific signal elements (e.g. pitch, timing, brightness) may be linked to fighting ability. Because the complexity and potential information content of color signals increases markedly when organisms can display context-specific variation in the expression of these ornaments, the study of dynamic color signals is a field ripe for the investigation of complex visual and signaling strategies.
FIGURE 2 in Conservation implications of a morphometric comparison between the Illinois Chorus Frog (Pseudacris streckeri illinoensis) and Strecker's Chorus Frog (P. s. streckeri) (Anura: Hylidae) from Arkansas, Illinois, Missouri, Oklahoma, and Texas
FIGURE 2. On the left are three representative ICFs from Clay County, AR. On the right are three representative SCFs from Yell and Conway counties, AR.
FIGURE 3 in Conservation implications of a morphometric comparison between the Illinois Chorus Frog (Pseudacris streckeri illinoensis) and Strecker's Chorus Frog (P. s. streckeri) (Anura: Hylidae) from Arkansas, Illinois, Missouri, Oklahoma, and Texas
FIGURE 3. Results of principal components analysis of the combined data for snout-vent length, tibia length, and head length for all state samples of ICFs and SCFs.
Energetic electron precipitation induced by oblique whistler mode chorus emissions
<p>This dataset includes the simulation results of Green's function and convolution integrals for a paper submitted to JGR-Space Physics.</p> <p> </p>
Ray tracing data for minimum-B pocket generated chorus waves
<p>Ray tracing results for minimum-B pocket generated chorus waves. The magnetospheric condition are marked by the names of folders inside, and the ray initial condition (frequency and WNA) are marked in the data file names. The columns from left to right are: phase time, group time, distance to Earth center, polar angle, radial refractive index, polar refractive index, refractive index square, refractive index, damping rate, relative amplitude, cosine of WNA, cosine of resonance cone angle.</p>
Data from: A phantom ultrasonic insect chorus repels low-flying bats, but most are undeterred
<p><b>Abstract</b></p> <p>1. The acoustic environment can serve as a niche axis, structuring animal behaviour by providing or obscuring salient information. Meadow katydid choruses occupy the ultrasonic, less studied, realm of this acoustic milieu, form dense populations in some habitats, and present a potential sensory challenge to co-occurring ultrasonic-hearing animals. Aerial-hawking insectivorous bats foraging immediately over vegetation must listen for echoes of their prey and other cues amidst the chorus din.</p> <p>2. We experimentally created the cacophony of a katydid chorus in a katydid-free rice paddy using an aggregation of 100 ultrasonic speakers in a 25 x 25 m grid to test the hypothesis that aerially hawking bats are averse to this noise source. We alternated between chorus-on and chorus-off hourly, and acoustically monitored bat activity and arthropod prey abundance.</p> <p>3. We found that our phantom katydid chorus reduced bat activity nearest the sound source by 39.3% (95% CI: 7.8 - 60.0%) for species whose call spectrum fully overlapped with the chorus, and elicited marginal reductions in activity in species with only partial spectral overlap.</p> <p>4. Our study suggests that ultrasonic insect choruses degrade foraging habitat, potentially suppressing bats' ecosystem services as consumers of pests; and, given the global distribution of meadow katydids, may provide an underappreciated force modifying animal behaviour in other grassland habitats.</p>
Data set of Precipitation rates of electrons interacting with lower-band chorus emissions in the inner magnetosphere
<p>Simulation data for paper entitled "Precipitation rates of electrons interacting with lower-band chorus emissions in the inner magnetosphere"</p>
Figure 1 in The effects of environmental cues on chorusing onset in a tropical frog assemblage
Figure 1. Ambient light level at first call* by tropical frog species, Gamboa, Panama. Groupings A, B, C are based on results from Tukey's HSD test with similarly behaving species grouped together. Box plots represent quartile ranges for each species. *CF1 refers to onset of Craugaster fitzingeri, CF0 refers to cessation of calling by C. fitzingeri. DE – Dendropsophus ebraccatus, DD – Diasporus diastema, SB – S. boulengeri, DM – Dendropsophus microcephalus, RA – R. alata, BR – B. rosenbergi, PT – P. taeniatus, AC – Agalychnis callidryas.
Figure 3. Centroids with 95 in Insect noise avoidance in the dawn chorus of Neotropical birds
Figure 3. Centroids with 95% confidence intervals plotted for the first two discriminant functions from a quadratic discriminant function analysis using peak frequency, song complexity and song rate for 477 songs from 27 different bird species (see Appendix, Table A1 for species names).
Figure 5 in Insect noise avoidance in the dawn chorus of Neotropical birds
Figure 5. First call time measured as minutes from sunrise plotted against (a) peak frequency of each species and (b) the difference between background noise at first call time and over all average background noise for the 1 h period. Background noise values were calculated at each species' peak frequency band. Each point represents the mean over all days and sites (±SE) per species. Negative noise values indicate that birds started singing at times when ambient noise level at their songs' peak frequency was lower than the rest of the recording period. Singing location is displayed as either in the canopy (circles, solid line) or below (triangles, dashed line) the canopy. See Table 2 for the parameter estimates associated with these variables.
Figure 2 in Insect noise avoidance in the dawn chorus of Neotropical birds
Figure 2. (a) Avian dawn chorus as defined by the number of singing events by any species averaged (±SE) over sites and days for each 5 min time bin. Note that calling activity peaked before the end of the recording period. (b) The first call time averaged (±SE) over sites and days for each species (see Appendix, Table A1 for species names) displayed as time from sunrise.
Figure 1 in Insect noise avoidance in the dawn chorus of Neotropical birds
Figure 1. Typical spectrogram (FFT - 4096) of a recording made at dawn. Letters indicate (A) a cicada playback and songs of (B) white-flanked antwren, (C) great tinamou, Tinamus major, (D) chestnut-backed antbird, (E) western slaty antshrike and (F) cocoa woodcreeper. Bands of nonavian insect noise are visible between 4 and 8 kHz.
Figure 4 in Insect noise avoidance in the dawn chorus of Neotropical birds
Figure 4. Nonavian noise level at different frequencies up to 9 kHz. Each line displays the average background noise colour-coded for each 5 min time interval from 30 min before until 30 min after sunrise. Black triangles indicate peak frequency of songs from the 27 bird species recorded. Amplitudes of nonavian noise are given as negative values relative to the maximum input of the recording units.
Fig. 4 in Endothermy and chorusing behaviour in the African platypleurine cicada Pycna semiclara (Germar, 1834) (Hemiptera: Cicadidae)
Fig. 4. Relationship between ambient temperature (Ta) and cicada body temperature (Tb) during calling in P. semiclara (Tb = 41.467 – 0.15288T, r2 = 0.097). The slope of the regression is a significantly different from 1 (t = –6.988, df = 8, p <0.0001) and not significantly different from 0 (t = 0.9273, df = 8, p = 0.1904), suggesting thermoregulation. Diamonds, diurnal calling animals; squares, animals calling in the evening chorus; triangles, animals calling in the laboratory; open symbols, situations with negligible radiant heat sources such as sunlight.
Fig. 3 in Endothermy and chorusing behaviour in the African platypleurine cicada Pycna semiclara (Germar, 1834) (Hemiptera: Cicadidae)
Fig. 3. Chorusing activity in six choruses of P. semiclara over 3 consecutive days in coastal forest at Mtunzini. The choruses are presented in the same order on each day and are arranged in order of proximity to one another. The vertical lines represent the time of sunrise and sunset.
Fig. 2 in Endothermy and chorusing behaviour in the African platypleurine cicada Pycna semiclara (Germar, 1834) (Hemiptera: Cicadidae)
Fig. 2. Distances between neighbouring calling males in choruses of P. semiclara at Mtunzini. Solid bars denote males producing calling song; hatched bars denote males producing encounter calls.
Fig. 1 in Endothermy and chorusing behaviour in the African platypleurine cicada Pycna semiclara (Germar, 1834) (Hemiptera: Cicadidae)
Fig. 1. Characteristics of call site perches used by Pycna semiclara in the coastal forest at Mtunzini. (A) Height of call sites above ground. (B) Diameters of call site perches.
Fig. 3 in Giant Cicada Emergence, Protandry and Chorus Centers Formation as Revealed by Studies Using a Sound Trap
Fig. 3 Chorionated oocytes (mean number ± SEM) per Quesada gigas female (columns) and percentage of mature females of Q. gigas (diamonds) captured at different days after the beginning of male emergence in 2015
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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.