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416 results for “Acoustic data”
FIGURE 10 in Revision of the high-altitude genus Hyphinomos Uvarov, 1921 (Orthoptera: Tettigoniidae) with a redescription and new data on mating behavior and acoustic signals of H. svenhedini Ramme, 1950
FIGURE 10. (A) Anal cerci in male Hyphinomos svenhedini Ramme, 1950 and (B) shape of titillators with membrane and (C) without membrane showing small spines on both the edges. Scale 1mm.
Data Corpus for the IEEE-AASP Challenge on the Acoustic Characterization of Environments (ACE)
<p>The aim of this challenge was to evaluate state-of-the-art algorithms for blind acoustic parameter estimation from speech and to promote the emerging area of research in this field.</p> <p>Several established parameters and metrics have been used to characterize the acoustics of a room. The most important are the Direct-To-Reverberant Ratio (DRR), the Reverberation Time (<em>T60</em>) and the reflection coefficient. The acoustic characteristics of a room based on such parameters can be used to predict the quality and intelligibility of speech signals in that room. Recently, several important methods in speech enhancement and speech recognition have been developed that show an increase in performance compared to the predecessors but do require knowledge of one or more fundamental acoustical parameters such as the <em>T60</em>. Traditionally, these parameters have been estimated using carefully measured Acoustic Impulse Responses (AIRs). However, in most applications it is not practical or even possible to measure the acoustic impulse response. Consequently, there is increasing research activity in the estimation of such parameters directly from speech and audio signals.</p> <p><strong>Documentation and software</strong></p> <ul> <li>Corpus instructions including software operating instructions</li> <li>Software to generate new datasets from the corpus materials (Matlab)</li> <li><em>T</em>60 and DRR measurements in fullband and <a href="http://www.iso.org/iso/catalogue_detail.htm?csnumber=1350">ISO-266</a> preferred frequency bands</li> <li>Room dimensions and approximate positions of microphones and sources</li> </ul> <p><strong>Anechoic speech</strong></p> <p>Comprising Development (Dev): 4 male talkers, 2 utterances each, and Evaluation (Eval): 5 male and 5 female talkers, 5 utterances each, recorded using the anechoic chamber at <a href="http://www.tudelft.nl/en/">TU Delft</a> at <em>fs</em>=48 kHz in 16-bit format. Plain text (.txt) transcriptions of each .wav file are included.</p> <p><strong>RIRs and noise by microphone configuration</strong></p> <p>Each archive below contains the set of <em>fs</em>=48 kHz 16-bit RIRs, ambient, fan and babble noise .wav files for each room and microphone position for that microphone configuration, recorded in 7 different rooms in the <a href="http://www3.imperial.ac.uk/electricalengineering">Dept. of Electrical and Electronic Engineering at Imperial College London</a>.</p> <p>The corpus comprises the following components:</p> <ul> <li>Single-channel (based on cruciform channel 1) 417 MB</li> <li>2-channel laptop 1.05 GB</li> <li>3-channel mobile 1.59 GB</li> <li>5-channel cruciform 2.84 GB</li> <li>8-channel linear 4.24 GB</li> <li>32-channel spherical 14.2 GB</li> </ul> <p>The corpus and the ACE Challenge are described in the following <a href="https://www.researchgate.net/publication/303854321_Estimation_of_room_acoustic_parameters_The_ACE_Challenge">journal paper</a>:</p> <ul> <li>J. Eaton; N. D. Gaubitch; A. H. Moore; P. A. Naylor, "Estimation of room acoustic parameters: The ACE Challenge," in <em><a href="http://ieeexplore.ieee.org/document/7486010/">IEEE/ACM Transactions on Audio, Speech, and Language Processing</a></em>, vol. 24, no.10, pp.1681-1693, Oct. 2016.</li> </ul> <p>Please cite this whenever you use any part of the corpus. BibTeX references are available here for the <a href="http://www.commsp.ee.ic.ac.uk/~sap/uploads/data/ACE/ACE_IEEE_ref.bib">journal paper</a> and <a href="http://www.commsp.ee.ic.ac.uk/~sap/uploads/data/ACE/ACE_Tech_ref.bib">technical report</a>.</p> <ul> </ul>
Data for Vijendravarma et al 2022: Drosophila females have an acoustic preference for symmetric males.
<p><span>In many species, including humans and <em>Drosophila</em>, symmetric individuals secure more mating's, suggesting that bilateral symmetry signals quality of potential mates and is subjected to sexual selection. However, this idea remains controversial, largely because obtaining conclusive experimental evidence has been hindered by confounding effects arising from methods used to increase asymmetry in test subjects. Here, we show that altering gravity during development increases asymmetry in <em>Drosophila melanogaster</em> without detrimental effect on survival, growth and behaviour. Testing males with altered gravity-induced asymmetry in female mate choice assays revealed symmetry-based discrimination of males via auditory cues. Females similarly discriminated against males with genetically-induced asymmetry, suggesting that their preference for symmetry is not specific to altered gravity. By segmenting male courtship song into left and right wing-generated song-bouts, we detected asymmetry in courtship song of altered gravity males with asymmetric wings that experienced rejection. Females experimentally evolved in absence of mate choice lacked this preference for symmetry, suggesting that symmetry is maintained by sexual selection. Our data provide evidence for the role of symmetry in sexual selection and reveals how non-visual cues can flag mate asymmetry during courtship</span><span>.</span></p>
Acoustic geophysical data over the site of the proposed Mahuika Crater on the continental shelf southwest of New Zealand
<p>This dataset contains acoustic geophysical data used to question the existence of the Mahuika Crater: a proposed impact depression 20.2 km wide lying on the continental shelf ~250 km SW of New Zealand. Multibeam echo sounder and sub-bottom profiler data, provided in this dataset, across the published location of the crater was collected and synthesised with existing bathymetry data for the wider region to assess the validity of such a claim. We conclude that there is no geophysical basis for the existence for the Mahuika impact crater.</p> <p>The multibeam echo sounder data was collected using a Kongsberg EM302 MBES. These data are provided in the Kongsberg raw *.all file format. </p> <p>Sub-bottom acoustic data was collected by a 3.5 kHz Knudsen chirp sub-bottom profiler. These data are provided in the Knudsen raw *.keb format and have also been converted to a *.sgy format using the Knudsen Conversion Utility software.</p>
Additional data for 'High-speed acoustic holography with arbitrary scattering objects'
<p>Raw data used to create the plots in the paper, specifically for (a) Fig. 2a, (b) Figs. 2c, S6a and S6b, (c) Fig. S5, (d) Fig. S7, (e) Fig. S8, (f) Fig. S8b, (g) Figs. S9a and S9b, (h) Fig. S11b, and (i) Fig. S12b.</p>
Demo data and models for: Automated speech detection in eco-acoustic data enables privacy protection and human disturbance quantification
<p>Folder containing a <strong>demo dataset</strong> and the <strong>model weights</strong> resulting from the ecoVAD pipeline. The data contained in this folder allows for full reproducibility of the pipeline described on the <a href="https://github.com/NINAnor/ecoVAD">ecoVAD GitHub repository</a>.</p> <p>If you have any questions or issues with the dataset, please open an issue on the ecoVAD GitHub repository.</p>
Example 3D Underwater Acoustic Pressure Data Sampled Over 24 Hours
Open the record for dataset details and reuse information.
Denoised data for the manuscript "Self-Supervised Coherence-Based Denoising on Cryoseismological Distributed Acoustic Sensing Data"
<p>This dataset contains denoised sections of Distributed Acoustic Sensing (DAS) data, generated using a J-invariant autoencoder. It facillitates the reproduction of the results presented in the paper "Self-Supervised Coherence-Based Denoising on Cryoseismological Distributed Acoustic Sensing Data."</p> <p><br>Abstract:<br><br>One major challenge in cryoseismology is that signals of interest are often buried within the high noise level emitted by a multitude of environmental processes. Events of interest potentially stay unnoticed and remain unanalyzed, particularly because conventional sensors cannot monitor an entire glacier. However, with Distributed Acoustic Sensing (DAS), we can observe seismicity over multiple kilometers. DAS systems turn common fiber-optic cables into seismic arrays that measure strain rate data, enabling researchers to acquire seismic data in hard-to-access areas with high spatial and temporal resolution. We deployed a DAS system on Rhonegletscher, Switzerland, using a 9 km long fiberoptic cable that covered the entire glacier, from its accumulation to its ablation zone, recording seismicity for one month. The highly active and dynamic cryospheric environ ment, in combination with poor coupling, resulted in DAS data characterized by a low Signal-to-Noise Ratio (SNR) compared to classical point sensors. Our objective is to ef fectively denoise this dataset.<br>We use a self-supervised J -invariant U-net autoencoder capable of separating incoherent environmental noise from temporally and spatially coherent signals of interest (e.g., stick-slip or crevasse signals). The method shows enhanced inter-channel coherence, increased SNR, and significantly improved visibility of the icequakes. Further, we compare different training data types varying in recording position, wavefield component, and waveform diversity. Our approach has the potential to enhance the detection capabilities of events of interest in cryoseismological DAS data, hence to improve the understanding of processes within Alpine glaciers.</p>
Acoustic and Microclimatic Data from Hives of a Stingless Bee Species
<p>The data consists of 9,300 audio files, each 30 seconds long, from 8 different hives of <em>Tetragonisca fiebrigi</em>. The data was collected in the city of Mariana Pimentel (30º24'08.9''S 51º35'06.5''W) from queenright hives, which had recent brood combs, pollen, and honey resources. No abnormal behaviors or stressors were observed. There is also a table containing microclimatic data (temperature and humidity) from both inside and outside the hives. Audio data was collected using AudioMoth devices, and microclimatic data was recorded using the HOBO U23 Pro v2 Temperature/Relative Humidity Data Logger. Some rows contain NA values, indicating that these variables were not collected at that time. </p>
Data from: Acoustic stability in hyrax snorts: vocal tightrope-walkers or wrathful verbal assailants?
The source-filter theory proposes that information on caller properties is communicated through acoustic qualities, as physical state and performance ability are reflected in the voice. Vocal stability, manifested through harshness is especially intriguing, and has rarely been explored although harsh sounds are prevalent in nature. Male rock hyraxes (Procavia capensis) produce loud complex calls that we term songs. Only the calls of older, socially dominant males, include a harsh sound termed snort. As snorts are the rarest element in songs, we hypothesized that high quality snorts are difficult to produce, and that their quality consists in the ability to maintain smoothness throughout this low-pitched, harsh call. We quantified harshness by measuring periodicity deviations and expected to find a link between social parameters (residence, rank, and weight) and the ability to produce longer, smoother snorts. In addition, we presumed that if calls are used as vocal contests, conspecifics would avoid answering songs that exhibit a higher acoustic ability than their own songs. We found that in wild hyrax songs, snort harshness was associated with both weight and social rank, but in opposite directions. Heavier males produced smoother snorts and higher ranked individuals produced harsher snorts, possibly indicating aggressiveness. Playback experiments showed that longer and harsher synthetic snorts, inserted into natural songs, reduced conspecific answer rates. Snorts may communicate complex information on hyrax weight and dominance by means of element length and harshness. Our present results provide a stimulating insight into the understanding of acoustics in mammalian vocal communication.
Data from: Acoustic risk balancing by marine mammals: anthropogenic noise can influence the foraging decisions by seals
<p class="MsoCommentText">Avoidance of anthropogenic sounds has been measured in many species. The results, which are typically based on observations in limited exposure contexts, are frequently used to inform policy and the regulation of industrial activities. However, the occurrence and magnitude of avoidance may be a consequence of complex risk-balancing decisions made by animals. The importance of the factors in decision-making, such as perceived risks associated with the sounds or prey quantity and quality during sound exposure, is unknown.</p> <p class="MsoCommentText">Here we address this knowledge gap by measuring the relative influence of perceived risk of a sound (silence, <span>pile driving, and a tidal turbine)</span> and prey patch quality on decision making and foraging success in grey seals <span>(<i>Halichoerus grypus</i>). </span>Seals were given access to two <span>underwater 'prey patches' </span>in an experimental pool <span>where fish were delivered at controlled rates to simulate a </span>low density (LD) and a high density (HD) prey patch. Acoustic playbacks were made using an underwater speaker above one of the prey patches (randomised during the study), and three decision and foraging metrics (foraging duration, foraging effort allocation between the prey patches, and foraging success) were measured.</p> <p>Foraging success was highest during silent controls and was similar regardless of speaker location (LD/HD). Under the tidal turbine and pile driving treatments, foraging success was similar to the controls when the speaker was located at the HD prey patch but was significantly reduced (~16-28% lower) when the speaker was located at the LD prey patch. Foraging decisions by the seals were consistent with a risk/profit balancing approach. Avoidance rates depend on the quality of the prey patch as well as the perceived risk.</p> <p>Policy implications: The results suggest that foraging context is important when interpreting avoidance behaviour and should be considered when predicting the effects of anthropogenic activities. For example, sound exposure in different prey patch qualities may result in markedly different avoidance behaviour, potentially leading to contrasting predictions of impact in Environmental Assessments. We recommend future studies explicitly consider foraging context, and other contextual factors such as behavioural state (e.g. foraging or travelling) and habitat quality.</p>
Figure 5 in Testing concordance in species boundaries using acoustic, morphological, and molecular data in the field cricket genus Itaropsis (Orthoptera: Grylloidea, Gryllidae: Gryllinae)
Figure 5. Phylogeny of Itaropsis obtained from Bayesian analysis of combined morphological, mitochondrial, and nuclear data sets. Abbreviations as in Figure 4.
Figure 4 in Testing concordance in species boundaries using acoustic, morphological, and molecular data in the field cricket genus Itaropsis (Orthoptera: Grylloidea, Gryllidae: Gryllinae)
Figure 4. Phylogenetic trees of Itaropsis resulting from analysis of morphological and molecular data. A, cladogram obtained with morphological characters (one tree, length 120 steps, CI 41, RI 51); B, phylogenetic tree obtained from Bayesian analysis of mitochondrial data sets for 19 terminals; C, phylogenetic tree obtained from Bayesian analysis of nuclear data sets for 17 terminals. Abbreviations: B, Bombay–Bangalore cluster; K, Kadari cluster; V, Valparai cluster.
Figure 3 in Testing concordance in species boundaries using acoustic, morphological, and molecular data in the field cricket genus Itaropsis (Orthoptera: Grylloidea, Gryllidae: Gryllinae)
Figure 3. Dendrogram based on four song features: call duration, syllable duration, syllable period and dominant frequency for individuals of the five song types of Itaropsis. Closed circles, Valparai chirper; closed triangles, Kadari chirper; open triangles, Kadari triller; open squares, Bangalore triller; open circles, Bombay triller.
Figure 1 in Testing concordance in species boundaries using acoustic, morphological, and molecular data in the field cricket genus Itaropsis (Orthoptera: Grylloidea, Gryllidae: Gryllinae)
Figure 1. Map showing the four sampling sites for Itaropsis in peninsular India (black dots), together with the localities where the presence of Itaropsis has been acknowledged in the past (grey squares) and main biogeographical units (Palghat gap, Palk strait). Cricket picture courtesy of Ashok Kumar Mallik, CES, IISc, Bangalore, India.
FIGURE 10 in A new species of Indigryllus (Orthoptera, Gryllidae, Eneopterinae, Xenogryllini) from Kerala, India, with first data on acoustics and natural habitat
FIGURE 10. Calling song of Indigryllus sagani sp. nov.: (A) oscillograms of 10 echemes grouped in doublets, (B) detailed oscillogram of one echeme and (C) corresponding spectrogram; (D) frequency spectrum showing harmonic frequencies.
FIGURE 8 in A new species of Indigryllus (Orthoptera, Gryllidae, Eneopterinae, Xenogryllini) from Kerala, India, with first data on acoustics and natural habitat
FIGURE 8. Indigryllus sagani sp. nov.: male specimens of light morph (B, D) and dark morph (A, C) in their natural habitat; (B–D) showing wing positions while male is calling.
FIGURE 4 in A new species of Indigryllus (Orthoptera, Gryllidae, Eneopterinae, Xenogryllini) from Kerala, India, with first data on acoustics and natural habitat
FIGURE 4. Indigryllus sagani sp. nov.: (A) male forewing in dorsal view, (B) female forewing in dorsal view, (C–E) scanning electron micrograph of the stridulatory teeth. Scale bars: A, B, 5 mm; C, 100 μm; D–E, 10 μm.
FIGURE 6 in A new species of Indigryllus (Orthoptera, Gryllidae, Eneopterinae, Xenogryllini) from Kerala, India, with first data on acoustics and natural habitat
FIGURE 6. Indigryllus sagani sp. nov.: male of light morph (A–B) and female of dark morph (C–D) in dorsal and lateral views, respectively. Scale bar: 5 mm.
FIGURE 5 in A new species of Indigryllus (Orthoptera, Gryllidae, Eneopterinae, Xenogryllini) from Kerala, India, with first data on acoustics and natural habitat
FIGURE 5. Genitalia of Indigryllus sagani sp. nov.: male genitalia in ventral (A), dorsal (C), lateral (D) and postero-ventral (E) views; comparison with I. kudremu in ventral view (B); female copulatory papilla of Indigryllus sagani sp. nov. in dorsal (F) and ventral (G) views. Scale bars: A–E, 1 mm; F–G, 0.5 mm.
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.