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41 results for “Acoustical Ecology”
Data from: Acoustic identification of Mexican bats based on taxonomic and ecological constraints on call design
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Data from: Scale-dependent foraging ecology of a marine top predator modelled using passive acoustic data
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Acoustic indices perform better when applied at ecologically meaningful time and frequency scales
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Figure 2 in Acoustic ecology of an anuran assemblage in the arid Caatinga of northeastern Brazil
Figure 2. Richness of anuran species and abiotic variables in Cabaceiras assemblage between May 2010 and November 2011. Values above bars represent number of species in calling activity.
Figure 3 in Acoustic ecology of an anuran assemblage in the arid Caatinga of northeastern Brazil
Figure 3. Relations of body size and dominant frequency of 11 anuran species. Small circles represent one species and a big circle represents two species.
Figure 4 in Acoustic ecology of an anuran assemblage in the arid Caatinga of northeastern Brazil
Figure 4. Cluster analysis based in Euclidean distance calculated from mean of seven call parameters of 11 anuran species.
Figure 1 in Acoustic ecology of an anuran assemblage in the arid Caatinga of northeastern Brazil
Figure 1. Phylogeny of anurans used in canonical phylogenetic ordination for microhabitat and diet data. Phylogenetic tree based in phylogenies of Nascimento et al. (2005), Ponssa (2008), Pyron and Wiens (2011).
A practical approach to measuring the acoustic diversity by community ecology methods
<p>The study of the diversity of animal signals on within- and among-species levels is the key to uncover mechanisms that shape the evolution of communication systems. However, the methods used to quantify acoustic diversity (like repertoire size) lack to grasp several aspects of acoustic diversity. Here, we propose a new framework for the study of animal communication, in which we decompose the acoustic diversity with the methodological toolbox from community ecology.</p> <p>We explore how different diversity estimates reflecting different aspects of acoustic diversity can be applied to characterise the complexity of acoustic signals. We propose that this approach can be used in a wide range of animal taxa to derive further insights about the function and evolution of communication systems besides the traditional methods.</p> <p>To illustrate the use of our approach in a case study, we used the song of collared flycatcher (<em>Ficedula albicollis)</em> as a model system. Based on three frequency and time variables, we calculated three diversity indies (FRic, FEve, and FDiv) to characterise the distribution of song elements (syllables) in the acoustic parameter space. We aimed to uncover the interrelations of diversity indices, reveal the degree of among-individual consistency, and investigate their relationships with certain aspects of individual quality.</p> <p>We found that the chosen diversity indices were largely independent from each other and showed different consistency patterns that were timescale dependent indicating different signalling potential of individual-specific attributes. We also found that FEve strongly related to the age of males. Our case study showed that decomposing the diversity into different components can reveal additional biologically meaningful aspects of birdsong.</p>
Fig. 1 in Ecology, acoustics and chromosomes of the East African genus Afroanthracites Hemp & Ingrisch (Orthoptera, Tettigoniidae, Conocephalinae, Agraeciini) with the description of new species
Fig. 1 Map of northern Tanzania and southern Kenya
Fig. 3 Male A. lutindi n in Ecology, acoustics and chromosomes of the East African genus Afroanthracites Hemp & Ingrisch (Orthoptera, Tettigoniidae, Conocephalinae, Agraeciini) with the description of new species
Fig. 3 Male A. lutindi n. sp., dorso-lateral view on pronotum
Fig. 8 in Ecology, acoustics and chromosomes of the East African genus Afroanthracites Hemp & Ingrisch (Orthoptera, Tettigoniidae, Conocephalinae, Agraeciini) with the description of new species
Fig. 8 Female subgenital plates of a A. pseudodiscolor n. sp. and b A. lutindi n. sp.
Fig 13 in Ecology, acoustics and chromosomes of the East African genus Afroanthracites Hemp & Ingrisch (Orthoptera, Tettigoniidae, Conocephalinae, Agraeciini) with the description of new species
Fig 13 Sonogram and power spectrum of calling song of Afroanthracites viridis
Fig. 3 in Biogeography, ecology, acoustics and chromosomes of East African Eurycorypha Stål species (Orthoptera, Phaneropterinae) with the description of new species
Fig. 3 Spectra of calling songs of Eurycorypha species
Fig. 5 in Biogeography, ecology, acoustics and chromosomes of East African Eurycorypha Stål species (Orthoptera, Phaneropterinae) with the description of new species
Fig. 5 Oscillograms of calling songs of Eurycorypha species, details
A practical approach to measuring the acoustic diversity by community ecology methods
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Fig. 10 in Ecology, acoustics and chromosomes of the East African genus Afroanthracites Hemp & Ingrisch (Orthoptera, Tettigoniidae, Conocephalinae, Agraeciini) with the description of new species
Fig. 10 Morphological details of male Afroanthracites species. a, c, e A. pseudodiscolor n. sp. b, d, f A. lutindi n. sp. a, b Lateral view on abdominal apex. c, d Left cercus. e, f Subgenital plate
Fig. 9 in Ecology, acoustics and chromosomes of the East African genus Afroanthracites Hemp & Ingrisch (Orthoptera, Tettigoniidae, Conocephalinae, Agraeciini) with the description of new species
Fig. 9 Dorsal view on male abdominal apex of Afroanthracites species. a A. montium. b A. usambaricus. c A. jagoi. d A. viridis. e A. lutindi n. sp. f A. uluguruensis. g A. discolor. h A. pseudodiscolor n. sp.
Fig. 1 in Biogeography, ecology, acoustics and chromosomes of East African Eurycorypha Stål species (Orthoptera, Phaneropterinae) with the description of new species
Fig. 1 Habitat selection and altitudinal distribution of five Eurycorypha species on Kilimanjaro in relation to climatic parameters. Line a: linear regression of mean annual temperature scaled with 1°C:25 mm precipitation; Line b: linear regression of mean annual temperature scaled with 1°C:50 mm precipitation; Line c: linear regression of mean
Fig. 6 in Biogeography, ecology, acoustics and chromosomes of East African Eurycorypha Stål species (Orthoptera, Phaneropterinae) with the description of new species
Fig. 6 Stridulatory files of Eurycorypha species (photos of replicas). p: E. punctipennis, v: E. varia, r: E. resonans, m: E. meruensis
Fig. 10 in Biogeography, ecology, acoustics and chromosomes of East African Eurycorypha Stål species (Orthoptera, Phaneropterinae) with the description of new species
Fig. 10 Detailed images of Eurycorypha species. a–c Eurycorypha punctipennis Chopard. a, b Male abdominal apex. c Male subgenital plate. d–f Eurycorypha resonans n. sp. d Lateral view on male abdominal apex. e Dorsal view on male abdominal apex. f Male subgenital plate. g–i Eurycorypha combretoides n. sp. g Lateral view on male abdominal apex. h Rear view on male abdominal apex. i Male subgenital plate. j– l Eurycorypha conclusa n. sp. j, k Lateral view on male abdominal apex. l Male subgenital plate
ScienceDex guides
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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.