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1,300 results for “Sounds”
Sounds of a little auk colony at Siorapaluk, Greenland (August 2022)
<p>These are audio records of little-auk sounds collected between August 18-22, 2022 near Siorapaluk, Greenland. We used Song Meter Micro sampling at 44.1 kHz. These August records were taken at the colony. </p> <p>Time-stamp in the file name corresponds to Local Time.</p> <p>For questions, write to evgeniy.podolskiy@gmail.com.</p>
FuSA: recording of urban sounds in Valdivia, Chile, between 23 May and 6 June 2022
<p>This dataset includes 115 audio recordings and corresponding metadata. The audio recordings were obtained through two monitoring stations installed in different parts of Valdivia (city ubicated at the south of Chile).</p> <p>The two monitoring stations listened to a grand total of 30,240 minutes during two-week and one-week operation periods, respectively. From this dataset only 115 minutes were flagged as surpassing the established sound pressure level.</p> <p>The FuSA system (<a href="https://www.acusticauach.cl/fusa/">https://www.acusticauach.cl/fusa/</a>) was then used to obtain event predictions for the 115 minutes subset.<br> The file metadata.csv includes predictions for each audio recordings and their corresponding probabilities.</p>
Sound pressure measurements and calculation of the cavitation volume for a full-scale 3500 TEU container vessel
<p>Supplementary material comprising measurement data and MATLAB code corresponding to the published research article.</p>
Perceived sound quality of hearing aids with varying placements of microphone and receiver
<p>This is the raw data for the paper published by the above authors in the American Journal of Audiology in 2022.</p>
Observations of Autumnal Cooling in a Large Estuary: The Glider Data from Long Island Sound in 2014
<p>This data file is a component of the data used in a paper to appear in the Journal of Geophysical Research in 2023 entitled "Observations of Autumnal Cooling in a Large Estuary" by Amin Ilia, Grant McCardell, Kay Howard-Strobel, and James O'Donnell. The data file contains the measurements from a Slocum Glider (V1) from Webb Research used in the paper. The data is in a MATLAB binary (.mat) file as a structure variable with a field MetaData containing some notes, and data in <br> SampleTimeEST- the date and time of the sample (EST) in MATLAB's datenum() format<br> Pressure_dBar - the pressure (or equivalently depth in m) that the sample was acquired <br> Temperature_C - the water temperature in Celcius<br> PracticalSalinty - the practical salinty<br> LatitudeDeg- the latitude of the sampling location (deg)<br> LongitudeDeg - the longitude of the sampling location (deg east)</p> <p>The paper's abstract is: </p> <p>Long Island Sound (LIS) is a large estuary on the eastern United States coast. Seasonal variations <br> in solar insolation and wind create an annual water temperature cycle that impacts circulation <br> and biological processes. The waters warm from March-February until August-October and then <br> begins to cool. Ship surveys show that the vertical temperature structure becomes uniform during <br> this season when the area experiences low air temperatures and high winds. However, there have <br> been no observations that resolve the temporal evolution of the vertical structure of temperature <br> during these cooling periods because conditions inhibit ship operations. We report glider <br> measurements of the vertical structure of water temperatures and salinities from October 22 to <br> November 4, 2014, in eastern LIS. We find that 20m of water can cool at approximately 0.5 <br> C/day intervals of cold air and strong winds. We use the data to estimate heat content tendencies <br> and infer surface fluxes. We also estimate the surface heat fluxes using buoy-mounted <br> instruments and the COARE 3.0/3.5 formulae and show they are consistent. Using the buoy <br> fluxes and the products of an operation regional model, we show the agreement with the heat <br> budget fluxes is best when the closest buoy and the model results are used. This suggests that <br> resolving the temporally and spatially structure of the wind field is crucial to the accurate <br> simulation of the temperature variability in LIS. These intervals of very rapid cooling can lead to <br> significant density gradients between LIS and the shallow bays and marshes that surround it.</p>
DATASET Sound production mechanism in triggerfish (Balistidae): a synapomorphy
<p>Dataset corresponding to the article "Sound production mechanism in triggerfish (Balistidae): a synapomorphy". </p> <p>This dataset contains the sounds of three species of Balistidae : <em>Balistapus undulatus</em>, <em>Rhinecanthus aculeatus</em> and <em>Rhinecanthus rectangulus</em>.</p> <p>All the specimens are from Moorea Island (French Polynesia)<br> <em>B. undulatus</em> [standard length (SL) 10.59–15.35 cm]<br> <em>R. aculeatus</em> (SL: 12.7–17.4 cm) <br> <em>R. rectangulus</em> (SL: 8.1–15.3 cm) </p> <p>Specimens were recorded hand-held in a glass aquarium with a hydrophone HTI-96-MIN (sensitivity: −163.9dB V μPa−1; High Tech Inc., Long Beach, MS, USA) connected to a TASCAM DR-07 recorder (TEAC, Wiesbaden, Germany).<br> The sounds were digitized at 44.1 kHz (16-bit resolution).</p>
DATASET Unusual sound production mechanism in the triggerfish Rhinecanthus aculeatus (Balistidae)
<p>Dataset corresponding to the article "Unusual sound production mechanism in the triggerfish <em>Rhinecanthus aculeatus</em> (Balistidae) ". </p> <p>This dataset contains the sounds and results of morphological studies of <em>Rhinecanthus aculeatus</em></p> <p>Specimens were recorded hand-held in a glass aquarium with a hydrophone HTI-96-MIN (High Tech Inc., Long Beach, MS, USA) connected to a TASCAM DR-07 recorder (TEAC, Wiesbaden, Germany).<br> The sounds were digitized at 44.1 kHz (16-bit resolution).</p> <p>Contact: Xavier.Raick@uliege.be ; xavierraick@hotmail.com</p>
Monthly nitrogen point-source loading dataset for the Long Island Sound Watershed
<p>The attached dataset and code accompanies a Data in Brief article, "Monthly nitrogen point-source loading dataset for the Long Island Sound Watershed."</p> <p>Abstract: Quantifying point source nitrogen loads to the Long Island Sound watershed is important because they contribute to the annual occurrence of hypoxia in Long Island Sound. However, the data are not easily accessible and are not available at a central location, making it difficult to characterize the magnitude of loading, seasonal patterns and long-term trends. For the period between April 1989 and September 2021, we gathered all available monthly nitrogen data for wastewater treatment plants within the Long Island Sound watershed from the U.S. Environmental Protection Agency Integrated Compliance Information System-National Pollutant Discharge Elimination System (ICIS-NPDES) and Permit Compliance System, and Connecticut Department of Energy and Environmental Protection databases. Data were checked for quality assurance and unreasonable outliers were imputed with means of other observations within the same year and season. Estimates were also imputed for missing observations. We publish both raw data with missing observations and a curated dataset with imputed estimates for missing observations. Monthly point source nitrogen load data can be used for water quality modeling and to infer, by subtraction, the relative contribution of nonpoint sources to gauged watershed loads. Additionally, the scripts used to reformat data from the ICIS could be repurposed to collect similar data in other regions.</p>
Climate-associated change in the abundance of Shrimp in Puget Sound, USA
<p>This is the clean and raw data files needed to replicate the analysis for our paper. The data contains Pacific Decadal Oscillation and El Nino/La Nina data, as well as data from a long running trawl survey in central Puget Sound, Washington, USA. The trawl data contains counts of invertebrate species from the trawls, as well as metadata about the trawls and the conditions during trawling. The trawl is conducted yearly by the School of Aquatic and Fishery Sciences, University of Washington.</p>
Sound extracts from wild boars during their resting phase
<p>This folder contains tracks collected with animal-borne audiologgers deployed on wild boars.</p> <p>The tracks that were extracted from 40 minutes before to 5 minutes after a relocation was initiated are labelled as ‘relocation’. The tracks labelled as ‘control’ were extracted at the same time of day as the ‘relocation’ tracks, but on different dates, when relocations did not occur. We also make available an additional track, corresponding to a dog barking, with the wild boar not reacting to it. It was identified upon opportunistic listening of the dataset.</p>
Matrices for a sound transmission problem
<p>Matrices for a numerical model of the sound transmission problem examined in R. W. Guy. "The Transmission of Airborne Sound through a Finite Panel, Air Gap, Panel and Cavity Configuration – a Steady State Analysis ", Acta Acustica united with Acustica, 49(4): 323--333, 1981.</p> <p>For usage see RUNME.m, RUNME.py, and the <a href="http://modelreduction.org/index.php/Sound_transmission_through_a_plate">MOR Wiki</a>.</p> <p>Version history:</p> <ul> <li>1.0: Initial release</li> <li>1.1: Added RUNME.py</li> </ul>
Sound improves neuronal encoding of visual stimuli in mouse primary visual cortex
<p class="MsoNormal"><span>In everyday life, we integrate visual and auditory information in routine tasks such as navigation and communication. While concurrent sound can improve visual perception, the neuronal <span>correlates of audiovisual integration are not fully understood. Specifically, it remains unclear whether neuronal firing patters in the primary visual cortex (V1) of awake animals demonstrate similar sound-induced improvement in visual discriminability. Furthermore, presentation of sound is associated with movement in the subjects, but little is understood about whether and how sound-associated movement affects audiovisual integration in V1. Here, we investigated how sound and movement interact </span>to modulate V1 visual responses in awake, head-fixed mice and whether this interaction improves neuronal encoding of the visual stimulus. We presented visual drifting gratings with and without simultaneous auditory white noise to awake mice while recording mouse movement and V1 neuronal activity. Sound modulated activity of 80% of light-responsive neurons, with 95% of neurons increasing activity when the auditory stimulus was present. A generalized linear model revealed that sound and movement had distinct and complementary effects of the neuronal visual responses. Furthermore, decoding of the visual stimulus from the neuronal activity was improved with sound, an effect that persisted even when controlling for movement. These results demonstrate that sound and movement modulate visual responses in complementary ways, improving neuronal representation of the visual stimulus. This study clarifies the role of movement as a potential confound in neuronal audiovisual responses and expands our knowledge of how multimodal processing is mediated at a neuronal level in the awake brain.</span></p> <p></p>
Soundscape and small cetacean sounds. Puerto Cisnes May 2021.
<p>Audio files recorded in Puyuhuapi sound, close to the city of Puerto Cisnes, Region de Aysen, Chile, from May, 04th 2021 to May, 06th 2021 .</p> <p>The files with more than 300 detected clicks of small NBHF cetaceans have been uploaded. The cetacean are probably Chilean dolphins (Cephalorhynchus eutropia), but possibly also Peale’s dolphins (Lagenorhynchus australis) or Burmeister’s porpoise (Phocoena spinipinnis).</p> <p>Instrument is QHB Recorder from Smiot, Université de Toulon (http://bioacoustics.lis-lab.fr/smiot), set with sample rate of 512 Ksps, sampling depth of 16 bits, and C57 Cetacean Research hydrophone.</p> <p>The whole dataset, too large to be included in Zenodo repository, can be found on the following adress : http://sabiod.lis-lab.fr/pub/CHILI/PUERTO_CISNES_2021/ .</p>
Recorded plant sounds from: Sounds emitted by plants under stress are airborne and informative
<p>Stressed plants show altered phenotypes, including changes in color, smell, and shape. Yet, airborne sounds emitted by stressed plants have not been investigated before. Here we show that stressed plants emit airborne sounds that can be recorded from a distance and classified. We recorded ultrasonic sounds emitted by tomato and tobacco plants inside an acoustic chamber, and in a greenhouse, while monitoring the plant's physiological parameters. We developed machine learning models that succeeded in identifying the condition of the plants, including dehydration level and injury, based solely on the emitted sounds. These informative sounds may also be detectable by other organisms. This work opens new avenues for understanding plants and their interactions with the environment and may have a significant impact on agriculture.</p>
Sound stimuli: Considerations for the perceptual evaluation of steady-state and time-varying sounds using psychoacoustic metrics
<p>The current dataset provides all the sound stimuli (wav files) to recreate the figures from the study with the title "Considerations for the perceptual evaluation of steady-state and time-varying sounds using psychoacoustic metrics" by the same authors. There are three datasets: <strong>dataset 1</strong> for fly-by aircraft sounds (directory <em>1-Aircraft-fly-by</em>), <strong>dataset 2</strong> for pass-by train sounds (directory <em>2-Train-pass-by</em>), and <strong>dataset 3</strong> for sounds from a resonating tube called hummer (directory <em>3-Hummer-resonances</em>). A brief description of the datasets is included. The reproduction of figures requires the installation of the sound quality analysis toolbox (SQAT) for MATLAB.</p> <p><strong>Use these data</strong>:<br> Download all these data, locate them in a local directory of your computer. If you have MATLAB and you downloaded a local copy of the <strong>SQAT toolbox</strong> (open access at: <a href="https://github.com/ggrecow/SQAT">https://github.com/ggrecow/SQAT</a>) you can recreate the figures of our paper. After downloading and initialising the toolbox (type 'startup_SQAT;', without quotation marks in MATLAB), run the script <strong>copy_sounds_for_pub_Osses2023c_to_SQAT.m</strong>. This last step is not required but recommended. Subsequently, you can run the toolbox script pub_Osses2023c_Forum_Acusticum_SQAT.m and follow the instructions on screen.</p>
Knocking on a yellow door: interactions among knocking sounds, colours, and emotions.
<p>Everyday sounds play a particular role in some media, such as video games and movies, where they are associated with visual contents. </p> <p>In this context, we present the audiovisual stimuli used for a study (n=60) done to investigate the hypothesis that the association between knocking sounds and emotions changes if the knocking sound is performed on a door of a different colour. This study draws inspiration from a previous experiment on knocking sound by Pauletto and co-workers.<br> </p> <p>The audio-visual materials consist of 5 professionally performed emotional audios taken from Barahona-Rìos & Pauletto (2020) synchronised with a video of a hand knocking on a door of 5 different colours, for a total of 25 videos.</p>
Frozen sound: An ultra-low frequency, ultra-broadband, non-reciprocal acoustic absorber
<p>The files contains the main results found in the paper 'Frozen sound: An ultra-low frequency, ultra-broadband, non-reciprocal acoustic absorber'. </p> <p>Each file contain an absorption coefficient in the form of a vector with its corresponding frequency.</p> <p>TA: Refers to the thermoacoustic absorber, i.e in the presence of cooling.</p> <p>NoTA: Refers to the porous material without cooling.</p>
Figure 23 in The sea cucumbers of Camden Sound in northwest Australia, including four new species (Echinodermata: Holothuroidea)
Figure 23. Photos of specimens judged to be Thyone papuensis Théel, 1886. a, lateral view of live specimen (WAM Z89060); b, calcareous ring of the same specimen preserved; c, lateral view of live specimen (WAM Z89058); d, calcareous ring of same specimen preserved (ring is relatively very small and is probably regenerating).
Figure 24 in The sea cucumbers of Camden Sound in northwest Australia, including four new species (Echinodermata: Holothuroidea)
Figure 24. Photos of ossicles from Thyone papuensis Théel, 1886 specimens (WAM Z89057, WAM Z89058, WAM Z89059). a, from tentacle and introvert, fine rods (up to 90 µm long), rosettes (frequently about 30 µm long), table with multi-perforate disc and two spires; b, from midbody wall and tube foot, table discs (frequently 50–55 µm long) and spires (about 23 µm high), endplate (up to 110 µm diameter), endplate support tables with single distal disc perforations (curved discs up to about 120 µm long); c, from peri-anal body wall, table with multi-perforate disc 56 µm across, tube foot support tables differing from body wall, upper one 80 µm between distal ends, lower left one 120 µm long; d, from peri-anal body wall, single and multi-layered fragments of scale ossicle.
Figure 19. a–c in The sea cucumbers of Camden Sound in northwest Australia, including four new species (Echinodermata: Holothuroidea)
Figure 19. a–c, photos of holotype of Neopsolidium(?) insolitum O'Loughlin sp. nov. (WAM Z89054): a, photo of dorsal view of live holotype; b, photo of lateral view of preserved holotype; c, photo of calcareous ring of preserved holotype. d, photo of live specimen of Massinium bonapartum O'Loughlin, 2014 (in O'Loughlin, Mackenzie & VandenSpiegel, 2014) (WAM Z89051; estimated 20 mm long live).
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Allen Brain Atlas
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OpenNeuro
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