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977 results for “bioacoustics”
FIGURE 2 in An inordinate fondness for inconspicuous brown frogs: integration of phylogenomics, archival DNA analysis, morphology, and bioacoustics yields 24 new taxa in the subgenus Brygoomantis (genus Mantidactylus) from Madagascar
FIGURE 2. (Continued).
FIGURE 2 in An inordinate fondness for inconspicuous brown frogs: integration of phylogenomics, archival DNA analysis, morphology, and bioacoustics yields 24 new taxa in the subgenus Brygoomantis (genus Mantidactylus) from Madagascar
FIGURE 2. (Continued).
FIGURE 2 in An inordinate fondness for inconspicuous brown frogs: integration of phylogenomics, archival DNA analysis, morphology, and bioacoustics yields 24 new taxa in the subgenus Brygoomantis (genus Mantidactylus) from Madagascar
FIGURE 2. (Continued).
FIGURE 2 in An inordinate fondness for inconspicuous brown frogs: integration of phylogenomics, archival DNA analysis, morphology, and bioacoustics yields 24 new taxa in the subgenus Brygoomantis (genus Mantidactylus) from Madagascar
FIGURE 2. (Continued).
Bioacoustic Sample Dataset from Lane County, Oregon, USA
<p>Roughly 10.5 hours of bioacoustic recordings made in Lane County, Oregon, USA in May 2019. The audio was recorded in two blocks of four 1-hour recordings centered around sunrise and sunset and 10-minute recordings on the hour outside of these blocks. The audio contains vocalizations of various species of birds and mammals as well as sounds from insects and logging activity. These sounds have not been annotated. This is provided as a sample dataset to help users become familiar with the use of audio processing software and common bioacoustics workflows.</p> <p>The files are organized in a folder representing the study site (COA_22108 = Oregon Coast Range bioacoustic monitoring hexagon 22108) with a subfolder representing the recording station (Stn_1). Filenames encode the study area, field site, recording station, date (YYYYMMDD), and time at the start of each recording (HHMMSS, 24-hour time, PST).</p> <p>Recordings were made using a Wildlife Acoustics Song Meter SM4 automated recording unit with the following parameters:<br> Format: WAV<br> Channels: 1<br> Sample rate: 32 kHz<br> Encoding: 16-bit signed integer PCM</p>
DCASE 2023 Task5: Few-shot Bioacoustic Event Detection: Evaluation set
<p><strong>General Description</strong></p> <p>The evaluation set for task 5 of DCASE 2023 "Few-shot Bioacoustic Event Detection" consists of 8 subsets of data representing different acoustic sources, in total there are 66 audio files. </p> <p>The first 5 annotations are provided for each file, with events marked as positive (POS) for the class of interest. </p> <p>This dataset is to be used for evaluation purposes during the task.</p> <p> </p> <p><strong>Folder structure</strong></p> <p>Audiofiles and annotation files are organized across 3 different zip files:</p> <p><em>Eval_1.zip</em></p> <p> |___CHE23/</p> <p> |____*.wav</p> <p> |____*.csv</p> <p> |___CW/</p> <p> |____*.wav</p> <p> |____*.csv</p> <p><em>Eval_2.zip</em></p> <p> |___MGE/</p> <p> |____*.wav</p> <p> |____*.csv</p> <p> |___MS/</p> <p> |____*.wav</p> <p> |____*.csv</p> <p> |___QU/</p> <p> |____*.wav</p> <p> |____*.csv</p> <p> <em>Eval_3.zip</em></p> <p> |___DC/</p> <p> |____*.wav</p> <p> |____*.csv</p> <p> |___CT/</p> <p> |____*.wav</p> <p> |____*.csv</p> <p> |___CHE/</p> <p> |____*.wav</p> <p> |____*.csv</p> <p><em>Annotations_only.zip</em> contains the *.csv files organised in the same subfolders.</p> <p>*The subfolders denote different recording sources and there may or may not be overlap between classes of interest from different wav files.</p> <p>*Note that there can be different target classes within the same subfolder</p> <p> </p> <p><strong>Annotation structure</strong></p> <p>Each line of the annotation csv represents an event in the audio file. The column descriptions are as follows:<br> [ Audiofilename, Starttime, Endtime, Q ]</p> <p><strong>Development Set</strong></p> <p>The development set for the same task can be found at: <a href="http://doi.org/10.5281/zenodo.4543504">https://doi.org/10.5281/zenodo.6012309</a>. </p> <p><strong>Open Access</strong></p> <p>This dataset is available under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.<br> </p> <p><strong>Contact info</strong></p> <p>Please send any feedback or questions to:<br> Ines Nolasco: i.dealmeidanolasco@qmul.ac.uk</p> <p>or join us on slack: <a href="https://join.slack.com/t/dcase/shared_invite/zt-12zfa5kw0-dD41gVaPU3EZTCAw1mHTCA">task-fewshot-bio-sed</a></p>
Data from: Large-scale bioacoustic monitoring to elucidate the distribution of a non-native katydid
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The impacts of fine-tuning, phylogenetic distance, and sample size on big-data bioacoustics
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From buzzes to bytes: A systematic review of automated bioacoustics models used to detect, classify, and monitor insects
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Data from: Interactive bioacoustic playback as a tool for detecting and exploring nonhuman intelligence: “Conversing” with an Alaskan humpback whale
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Data from: Bioacoustic assessment of mangrove health: Influence of habitat characteristics on bird richness
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Comparative bioacoustics of multiple eastern versus western songbird pairs in North America reveals a gradient of song divergence: Raw acoutic measurements
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FIGURE 57 in Review of bioacoustical traits in the genus Physalaemus Fitzinger, 1826 (Anura: Leptodactylidae: Leiuperinae)
FIGURE 57. Loadings plots of 12 acoustical variables for the first two components of a Principal Compoment Analysis (PCA) based on 45 species (= samples) of Physalaemus (A–C). Plots with the ordered variable loadings for first (A) and second (B) components. Distribution of the samples along the first and second components with the variable loadings depicted as vectors on the biplot (C). Colors indicate the species groups to which the species belong (see caption in the figure). "N_A" means "no species group assigned" (see Table 1). Note that the two groups are mainly separated by the frequency delta, fundamental frequency, bandwidth, and dominant frequencies at the beginning and end of the call along the second component (see text). The variable variances were scaled in order to equalize their influence in the PCA.
FIGURE 53. Call A in Review of bioacoustical traits in the genus Physalaemus Fitzinger, 1826 (Anura: Leptodactylidae: Leiuperinae)
FIGURE 53. Call A of Physalaemus evangelistai. Oscillograms (A, C, and D) and audiospectrograms (B, E, and F). A typical call (A–B). Variant calls with different envelopes (C–F). Note the absence of PAM in the call (D–F). Horizontal scale bars have 0.2 s; vertical scale bars have 1 kHz. Filter bandwidth (Hz): 110 (B); 69 (E); 42.3 (F).
FIGURE 55. Call A in Review of bioacoustical traits in the genus Physalaemus Fitzinger, 1826 (Anura: Leptodactylidae: Leiuperinae)
FIGURE 55. Call A of Physalaemus jordanensis. Oscillograms (A, C–H) and audiospectrograms (B, I–N). A typical call (A–B). Variant calls with different envelopes (C and I; E–H, K–N). Final pulses of a call (D and J). Note the longer duration of the final pulse (D and J). Horizontal scale bars have 0.3 s (C and I; E–H, K–N) and 0.1 s (D and J); vertical scale bars have 1 kHz. Filter bandwidth (Hz): 135 (L); 78.9 (M); 110 (J); 61.4 (N); 69 (I and K); 61.9 (B).
FIGURE 51. Call A in Review of bioacoustical traits in the genus Physalaemus Fitzinger, 1826 (Anura: Leptodactylidae: Leiuperinae)
FIGURE 51. Call A of Physalaemus lisei. Oscillograms (A, C, E–I) and audiospectrograms (B, D, J–N). Ten calls gathered in groups (A–B). A typical call (C–D). Variant calls with different envelopes and spectral features (E–N). Note PFM and the subharmonics in the calls (J, K, L, M, and N). Horizontal scale bars have 0.5 s; vertical scale bars have 1 kHz. Filter bandwidth (Hz): 61.9 (D and P); 46 (K, L, N, and O); 69 (B); 55.2 (M).
FIGURE 52 in Review of bioacoustical traits in the genus Physalaemus Fitzinger, 1826 (Anura: Leptodactylidae: Leiuperinae)
FIGURE 52. Multiplicity relationship between "instantaneous" dominant frequency and w of calls A of four Physalaemus species. Each graph shows a single call A of P. gracilis (A), P. lisei (B), P. evangelistai (C), P. barrioi (D), P. jordanensis (E). Grid corresponds to the harmonic values (right y-axis). Red squares are the values of "instantaneous" dominant frequency; blue circles are the values of the reciprocal of w; green triangles are the factor values of the ratio "instantaneous" dominant frequency / w reciprocal per delta time. Delta time corresponds to the duration of one period of the measured acoustic oscillation. Note that factors around integer values suggest harmonic relationship between the frequency calculated (w reciprocal) and the dominant frequency.
FIGURE 50. Call A in Review of bioacoustical traits in the genus Physalaemus Fitzinger, 1826 (Anura: Leptodactylidae: Leiuperinae)
FIGURE 50. Call A of Physalaemus gracilis. Oscillograms (A, C–G, and M–P) and audiospectrograms (B, H–L, and Q–T). A typical call A (A–B). Variant calls A with different envelopes and spectral features (C–T). Note the presence of subharmonics at the beginning or middle of the call (I, L, Q, and R). Horizontal scale bars have 0.5 s (C–L) and 0.2 s (M–T); vertical scale bars have 1 kHz. Filter bandwidth (Hz): 42.3 (B); 84.6 (K, L, and T); 74.6 (J); 55.2 (I and R); 69.0 (H and S); 61.4 (Q).
FIGURE 48. Call A in Review of bioacoustical traits in the genus Physalaemus Fitzinger, 1826 (Anura: Leptodactylidae: Leiuperinae)
FIGURE 48. Call A of Physalaemus santafecinus. Oscillograms (A and C) and audiospectrograms (B and D). A typical call (A–B). A variant call with a different envelope and spectral features (C–D). Note the different slopes in the FM segments (D). Horizontal scale bars have 0.1 s; vertical scale bars have 1 kHz. Filter bandwidth (Hz): 84.6 (B and D).
FIGURE 46. Call A in Review of bioacoustical traits in the genus Physalaemus Fitzinger, 1826 (Anura: Leptodactylidae: Leiuperinae)
FIGURE 46. Call A of Physalaemus biligonigerus. Oscillograms (A, C, and D) and audiospectrograms (B, E, and F). A typical call (A–B). Variant calls with different envelopes and spectral features (C–F). Note the shorter duration of the initial FM segment (F). Horizontal scale bars have 0.1 s; vertical scale bars have 1 kHz. Filter bandwidth (Hz): 61.9 (B); 62.8 (E); 69.0 (F). Pulses of high frequency in the background in (F) correspond to calls of Pseudopaludicola sp.
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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.