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416 results for “Acoustic data”
Data for "Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical-looking radar"
<p>This repository contains the data used for the analyses conducted and described in the article "Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical-looking radar", as well as the Random Forest classifier built from such data. </p> <p>Files:</p> <p><em>2021_AcousticDataset.xlsx:</em> excel dataset containing the daily number of calls for each of the three thrush species considered recorded in Helsinki (Finland) during the study period (year 2021). The dates refer to UTC time.</p> <p><em>2022_ AcousticDataset.xlsx: </em>excel dataset containing the daily number of calls for each of the three thrush species considered recorded in Helsinki (Finland) during the study period (year 2022) . The dates refer to UTC time.</p> <p><em>RandomForestClassifier.Rdata: </em>R object containing the Random Forest classifier built using the eight most important echo features. The purpose of the classifier is to categorize echoes into 'thrush' and 'non-thrush' classes. </p> <p><em>2021_RadarDataset.rds: </em>R object containing the radar data collected with AVLR BirdScan MR1 in Helsinki (Finland) during the study period (year 2021).</p> <p><em>2022_RadarDataset.rds:</em> R object containing the radar data collected with AVLR BirdScan MR1 in Helsinki (Finland) during the study period (year 2022).</p> <p><em>license.txt: </em>the license applying to the data.</p>
Data for "Anti-resonant acoustic waveguides enabled tailorable Brillouin scattering on chip"
<p>The files contain the data and codes for the paper "Anti-resonant acoustic waveguides enabled tailorable Brillouin scattering on chip".</p>
Data from: Yellowtail damselfish Chrysiptera parasema can associate predation risk with the acoustic call of a heterospecific damselfish following pairing with conspecific alarm cues
<p>The ability to detect and respond to the presence of predation risk is under intense selection, especially for small-bodied fishes that coexist with predators. Fish use visual, olfactory, and auditory cues to assess predation risk. Damselfishes (Pomacentridae) use auditory vocalizations during inter- and intrasexual interactions, but it is not known if they can use vocalizations in the context of predator-prey interactions. Here, we test if yellowtail damselfish, <em>Chrysiptera parasema</em>, can learn to associate the territorial vocalization of heterospecific humbug damselfish <em>Dascyllus aruanus</em> with predation risk. In conditioning trials of yellowtail damselfish we played the territorial call of humbug damselfish while introducing either blank water (control treatment) or chemical alarm cue derived from damaged skin of conspecific yellowtail damselfish. In conditioning trials, fish exposed to alarm cue increased activity and spent more time in the water column relative to fish that received the control treatment. After a single conditioning trial, conditioned fish were exposed again to the territorial call. Fish conditioned with the call + alarm cue increased activity and time in the water column relative to fish that had been conditioned with the control treatment. These data indicate associative learning of an auditory stimulus with predation risk in a species that regularly uses auditory signaling in other contexts. Recordings of conditioning and test trials failed to detect any acoustic calls produced by test fish in response to the perception of predation risk. Thus, although yellowtail damselfish can associate risk with auditory stimuli, we found no evidence that they produce an alarm call.</p>
Wideband acoustic transceiver data from probe attached to Frankenstein rosette during PolarFront 2024-01 cruise
<p>See the Cruise Report (Daase 2024) for details.</p> <p>Daase, M. (2024). PolarFront January 2024 Cruise Report. Zenodo. <a href="https://doi.org/10.5281/zenodo.10623810" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.10623810</a></p>
Acoustic monitoring data Roaringwater Bay, SW Ireland.
Open the record for dataset details and reuse information.
Testing the Acoustic Localisation Positioning System-algorithm: Data sets
<p>The data is from 3 separate experimental setups: Tracking a device of constant speed using the Audio1 (single processor) software (B.1); and tracking a faster device using the al-Qt (multi processor) software (B.2) The experiments were also recorded on video. (see Video folder). For the experiments in B.1 a visualisation of the data has been made with the help of a MATLAB script which also included. The dimensions of the room and loudspeaker spacings were identical for both set-ups, namely 3 x 2 meters, with the loudspeakers at the corners of the rectangle. the loudspeakers were situated on the floor, approximately level with the tracked devices.</p> <p>Setup C collects debug log examples of experiments with very short capture cycles with 2 mics and 2 loudspeakers running ALPS al-Qt.</p> <p>The source code for Audio is available from: <a href="https://github.com/spatmus/alps/tree/master/Audio1">https://github.com/spatmus/alps/tree/master/Audio1</a><br> The source code for al-Qt is available from: <a href="https://github.com/spatmus/alps/tree/master/al-Qt">https://github.com/spatmus/alps/tree/master/al-Qt</a><br> A binary of al-Qt for macOS 11, can be found in the assets folder of the release <a href="https://github.com/spatmus/alps/releases">https://github.com/spatmus/alps/releases</a></p>
Data from: Prenatal acoustic programming of mitochondrial function for high temperatures in an arid-adapted bird
<p>Sound is an essential source of information in many taxa and can notably be used by embryos to program their phenotypes for postnatal environments. While underlying mechanisms are mostly unknown, there is growing evidence for the implication of mitochondria – main source of cellular energy (<i>i.e.</i> ATP) – in developmental programming processes. Here, we tested whether prenatal sound programs mitochondrial metabolism. In the arid-adapted zebra finch, prenatal exposure to "heat-calls" – produced by parents incubating at high temperatures – adaptively alters nestling growth in the heat. We measured red blood cell mitochondrial function, in nestlings exposed prenatally to heat- or control-calls, and reared in contrasting thermal environments. Exposure to high temperatures always reduced mitochondrial ATP production efficiency. However, as expected to reduce heat production, prenatal exposure to heat-calls improved mitochondrial efficiency under mild heat conditions. In addition, when exposed to an acute heat-challenge, <i>LEAK</i> respiration was higher in heat-call nestlings, and mitochondrial efficiency low across temperatures. Consistent with its role in reducing oxidative damage, <i>LEAK</i> under extreme heat was also higher in fast-growing nestlings. Our study, therefore, provides the first demonstration of mitochondrial acoustic sensitivity, and brings us closer to understanding the underpinning of acoustic developmental programming and avian strategies for heat adaptation.</p>
FIGURE 6. Hyphinomos svenhedini Ramme, 1950 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 6. Hyphinomos svenhedini Ramme, 1950 (A) female head, pronotum and forewing, (B) male head, pronotum and forewing, (C) maxillary palpi, (D) female head and pronotum, (E) front view of face and (F) top view of fore tibia showing external and internal tympanum. Scale 5mm.
FIGURE 1 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 1. Map showing type localities of Hyphinomos fasciata Uvarov, 1921 (in Dakar, Western Tibet, China) and H. svenhedini Ramme, 1950 (in Hanle, Indus Valley, Ladakh and Lahaul, Himachal Pradesh, India). Zanskar and Shashi lake, Kargil, Ladakh are additional locations from where H. svenhedini has been reported. Area highlighted in green is Ladakh, U.T., pink: Kargil district of Ladakh, blue: Lahaul and Spiti district in Himachal Pradesh.
FIGURE 12 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 12. Male and female of Hyphinomos svenhedini Ramme, 1950 (A) exhibiting end-to-end copulation position in laboratory condition and (B) in natural habitat.
FIGURE 5. Hyphinomos svenhedini Ramme, 1950 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 5. Hyphinomos svenhedini Ramme, 1950 (A & B) female and (C & D) male in dorsal and lateral view respectively. Scale 14mm.
FIGURE 9 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 9. Variation in the shape and number of teeth present in the anal cerci between three males of Hyphinomos svenhedini Ramme, 1950 from Shashi lake. Two image panels show anal cerci of left and right sides of same individual.
FIGURE 8. Hyphinomos svenhedini Ramme, 1950 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 8. Hyphinomos svenhedini Ramme, 1950 (A) apical view of male abdomen, (B) lateral view of male supra anal and subgenital plate, (C) dorsal view of male supra anal plate, (D) dorsal view of male subgenital plate, (E) dorsal view of female subgenital plate and (F) female supra anal plate. Scale 1mm.
FIGURE 7. Hyphinomos svenhedini Ramme, 1950 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 7. Hyphinomos svenhedini Ramme, 1950 (A) right side forewing in ventral view showing stridulatory file present on PCuA, Scale 1mm and (B)scanning electron micrograph of the stridulatory teeth, Scale 10μm.
FIGURE 4. Hyphinomos svenhedini Ramme, 1950 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 4. Hyphinomos svenhedini Ramme, 1950 showing body coloration in live condition (A) dorsal view of male in its natural habitat near Shashi lake, (B) front view of male and (C) dorsal view of young female in its natural habitat near Shashi lake.
FIGURE 3 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 3. Ovipositor shape of Hyphinomos svenhedini Ramme, 1950 (A) Allotype, (B) Paratype from NMW, (C) studied specimen from Shashi lake and (D) Paratype of H. fasciata Uvarov, 1921 from MNCN (photo from OSF).
FIGURE 14 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 14. Oscillograms (A–B) and spectrogram (C) of Hyphinomos svenhedini Ramme, 1950 'courtship' song recorded in laboratory.
FIGURE 13 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 13. Oscillograms (A–B) and spectrogram (C) of Hyphinomos svenhedini Ramme, 1950 long-distance calling song recorded in laboratory.
FIGURE 2 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 2. Vertex ivory in (A) Hyphinomos fasciata Uvarov, 1921 (photo from OSF) and black, adorned with yellow stripes and patches in (B) H. svenhedini Ramme, 1950.
FIGURE 11 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 11. Images of Shashi lake (A) taken in July -August, 2020 showing water level in the lake, (B) view from top of Shashi mountain, (C) Androsace villosa, (D) Cousinia thomsonii and (E) Corydalis govaniana,.
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.