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1,300 results for “Sounds”
The input sounding and synthetic AMV data for the idealized case study
<p>This is a data repository in support of the article "Impact of Assimilating High-Resolution Atmospheric Motion Vectors on Convective Scale Short-Term Forecasts. Part I: Observing System Simulation Experiment (OSSE)Impact of Assimilating High-Resolution Atmospheric Motion Vectors on Convective Scale Short-Term Forecasts. Part I: Observing System Simulation Experiment (OSSE)" submitted to AGU <em>J. of Advances in Modeling of Earth Systems. </em></p> <p>The data set consists of</p> <ul> <li>The input sounding data for the truth simulation of an idealized supercell strom (input_sounding).</li> <li>The simulated AMV observations with the resolutions of 10km, 20km, 30km and 40km are contained in the zipped files.</li> </ul>
Data from: Sound settlement: noise surpasses land cover in explaining breeding habitat selection of secondary cavity-nesting birds
Birds breeding in heterogeneous landscapes select nest sites by cueing in on a variety of factors from landscape features and social information to the presence of natural enemies. We focus on determining the relative impact of anthropogenic noise on nest site occupancy, compared to amount of forest cover, which is known to strongly influence the selection process. We examine chronic, industrial noise from natural gas wells directly measured at the nest box as well as site-averaged noise, using a well-established field experimental system in northwestern New Mexico. We hypothesized that high levels of noise, both at the nest site and in the environment, would decrease nest box occupancy. We set up nest boxes using a geospatially paired control and experimental site design and analyzed four years of occupancy data from four secondary cavity-nesting birds common to the Colorado Plateau. We found different effects of noise and landscape features depending on species, with strong effects of noise observed in breeding habitat selection of Myiarchus cinerascens, the Ash-throated Flycatcher, and Sialia currucoides, the Mountain Bluebird. In contrast, the amount of forest cover less frequently explained habitat selection for those species or had a smaller standardized effect than the acoustic environment. Although forest cover characterization and management is commonly employed by natural resource managers, our results show that characterizing and managing the acoustic environment should be an important tool in protected area management.
Data from: Retinotopic-like maps of spatial sound in primary 'visual' cortex of blind human echolocators
The functional specialisations of cortical sensory areas were traditionally viewed as being tied to specific modalities. A radically different emerging view is that the brain is organized by task rather than sensory modality, but it has not yet been shown that this applies to primary sensory cortices. Here we report such evidence by showing that primary 'visual' cortex can be adapted to map spatial locations of sound in blind humans who regularly perceive space through sound echoes. Specifically, we objectively quantify the similarity between measured stimulus maps for sound eccentricity and predicted stimulus maps for visual eccentricity in primary 'visual' cortex (using a probabilistic atlas based on cortical anatomy) to find that stimulus maps for sound in expert echolocators are directly comparable to those for vision in sighted people. Furthermore, the degree of this similarity is positively related with echolocation ability. We also rule out explanations based on top-down modulation of brain activity – e.g. through imagery. This result is clear evidence that task-specific organization can extend even to primary sensory cortices, and in this way is pivotal in our reinterpretation of the functional organisation of the human brain.
Sound jar / Klankpotje Kelfkensbosch Nijmegen NL
Klankpotje 2 Broerkerk te Nijmegen Soundpot www.awnregionijmegen.nl Source: Objaverse 1.0 / Sketchfab
Sounding 5, 2016
This model depicts the BAPG's Sounding 5 near the conclusion of the 2016 field season. It was produced upon the discovery a mortar and ceramic floor surface in the centre of the sounding and the foundation of a column base further to the west. Source: Objaverse 1.0 / Sketchfab
Priming gestures with sounds - dataset
<p>These are the data of the corresponding manuscript: "Priming gestures with sounds" by Guillaume Lemaitre, Laurie M. Heller, Nicolas Zuñiga-Peñaranda and Nicole Navolio.</p> <p>There are five directories corresponding to the five experiments reported in the manuscript. These are Matlab .mat files. Each file corresponds to one participant. There are four variables:</p> <p>- Accuracy: 0 = incorrect answer; 1= correct answer</p> <p>- Time: response time in ms. </p> <p>- Congruency: type of trial. 1 = incongruent, 2=congruent, 3=nosound</p> <p>- Order: trial order.</p> <p>Each variable is Nx2 matrix. N is the number of trials. First line is left gesture, second line is right gesture. </p>
The egocentric nature of action-sound associations
<p>These are the data of the corresponding manuscript: "The egocentric nature of action-sound associations" by Nicole Navolio, Guillaume Lemaitre, Alain Forget, and Laurie M. Heller.</p> <p>These are Matlab .mat files. Each file corresponds to one participant. There are four variables:</p> <p>- Accuracy: 0 = incorrect answer; 1= correct answer</p> <p>- Time: response time in ms. </p> <p>- Congruency: type of trial. 1 = incongruent, 2=congruent, 3=nosound</p> <p>- Order: trial order.</p> <p>Each variable is Nx2 matrix. N is the number of trials. First line is up gesture, second line is right gesture. </p>
Space Sounds Experiment
<p>The Voyager 1 and 2 spacecrafts have travelled many billion kilometres since their launch, and sent back some very interesting data too [1]. Both Voyager 1 and 2 are equipped with the Plasma Wave Subsystem (PWS) which detects Electrical field components of plasma waves in frequency range of 10 Hz to 56 kHz. Many people believe (see comments under the Youtube-videos), that these mysterious sounds are messages of unknown civilizations, others just find it relaxing and interesting without any meaning. In my experiment I want to compare the sounds using correlation [4] to a common white noise like static radio noise or rainfall. Aim is to prove or disprove the randomness of the plasma waves.</p>
Sound ontology for the paper “An approach for structuring sound sample libraries using ontology”
<p>This is a supplementary material for a paper titled “An approach for structuring sound sample libraries using ontology” submitted to the Knowledge Engineering and Semantic Web conference (2016). http://2016.kesw.ru/</p>
Familiar Environmental Sound Test -- Stimuli
<p>This zip file includes environmental sound stimuli that comprise Familiar Environmental Sound Test. There are 25 individual sounds for FEST-I. These sounds are composed into FEST-S which consists of two sets of 5 semantically coherent and 5 semantically incoherent sequences, five sounds in each sequence. These sequences are used to detect semantic context effects in environmental sound perception. Two practice sequences are also included.</p>
Semi-Supervised Active Learning for Sound Classification in Hybrid Learning Environments
<p>There are 16,930 sound instances in our database with durations ranging 242 from 1 to 10 seconds, which correspond to (approximately) 15 hours of environmental 243 sounds. All sound files were converted into raw 16 bit encoding, mono-channel, and 16 244 kHz sampling rate, as various formats and rates were used in the original versions 245 retrieved from the web.</p>
Semi-Supervised Active Learning for Sound Classification in Hybrid Learning Environments
<p>There are 16,930 sound instances in our database with durations ranging 242 from 1 to 10 seconds, which correspond to (approximately) 15 hours of environmental 243 sounds. All sound files were converted into raw 16 bit encoding, mono-channel, and 16 244 kHz sampling rate, as various formats and rates were used in the original versions 245 retrieved from the web.</p>
Scene related sound quality -- data
<p>This data set contains stimuli and results from a listening paired-comparison preference test. The stimuli consisted always of<br> the same acoustic scene with three individual sources, which had different degrees of impairments. All of the stimuli are created in order to listen binaural via headphones to them. They include already a headphone compensation filter for usage with AKG K601 headphones. The stimuli were generated using a recording done by the FH Köln [1]. For details on the experiment see [2].</p> <p>[1] https://github.com/ssr-scenes/fh-koeln/tree/master/anechoic/audio</p> <p>[2] Raake, A., Wierstorf, H., Blauert J. (2014), “A case for TWO!EARS in audio quality assessment,” Forum Acusticum</p>
Vanellus chilensis dataset accompanying PLOS ONE paper "Automated Sound Recognition Provides Insights into the Behavioral Ecology of a Tropical Bird"
<p>Southern Lapwing <em>Vanellus chilensis</em> dataset accompanying the PLOS ONE article</p> <p>O. Jahn, T. Ganchev, M.I. Marinez and K.L. Schuchmann: Automated Sound Recognition Provides Insights into the Behavioral Ecology of a Tropical Bird. DOI:10.1371/journal.pone.0169041</p> <p>---<br> BL01:<br> Background Library 01 consists of</p> <p>BL01 >> BL_CHVACH_free_final:<br> 54 hand-cleaned (<em>Vanellus chilensis</em>-free) background files and</p> <p>BL01 >> PSC008_forest:<br> 36 original soundscapes recorded inside forest, which may contain a few target signals from overflying lapwings.</p> <p>---<br> PONE_VACH_AnnualCycle_Statistics:<br> Contains the Excel files<br> - 2013CHVACH_BreedingCycle_Statistics_PONE: statistics on <em>V. chilensis</em> activity patterns, Apr. 2013 to Sep. 2013.<br> - 2013CHVACH_FalseNegatives_PONE: determination of the false negative rate based on an expert-annotated sample of 26 soundcsape recordings<br> - 2013CHVACH_FalsePositives_PONE: determination of the false positive rate based on an expert-annotated random sample of 1250 automated <em>V. chilensis</em> detections.</p> <p>---<br> TL01_BIAVCHCHVACH_20130813v2_HandCleaned:<br> Training library for the development of the <em>V. chilensis</em> recognizer, consisting of 90 hand-filtered recordings of the target species.</p> <p>---<br> VACH_Detector_results >> VACHdetectorOutput_PONE.zip:<br> TXT detector output files, listing timestamps of potential <em>V. chilensis</em> sound events.</p> <p>---<br> VACH_FNrate_20160706:<br> Validation library used to determine the false negative rate. The library consists of 26 expert-annotated sound files. Annotations were made in Adobe Audion v3.0.</p> <p>---<br> VL01_VACH_MonoB<br> and<br> VL01_VACH_MonoB:<br> Validation library used for the fine-tuning of the recognizer settings.</p> <p>---<br> Important notes on the annotation of the VACH_FNrate_20160706 library:</p> <p>1) In general, we used the procedure described in Ganchev et al. 2015 for the annotation of VACH validation libraries (see next section).</p> <p>2) However, the detector-generated timestamps were not changed! For the following reasons, it is not possible to use the VACH_FN_rate library as a validation library for the development of improved recognizer versions:</p> <p>(a) The VACH detector overlooked many of the weaker signals within a VACH call series. Therfore the detector-generated annotations are incomplete.<br> (b) For the same reason some automatically-generated detections may refer to a single VACH call event (double hits).</p> <p>Details on the method used for the annotation of the VACH validation libraries are described in Ganchev et al. 2015, pp.6100f: 2.1.3.3.Vanellus chilensis validation dataset.</p>
Dataset supporting Sound and Automated Synthesis of Digital Stabilizing Controllers for Continuous Plants
<p>Executable benchmarks and result data set for the experimental evaluation in our publication "Sound and Automated Synthesis of Digital Stabilizing Controllers for Continuous Plants" published at Hybrid Systems: Computation and Control (HSCC) 2017.</p> <p> </p> <p>Abstract:</p> <p>Modern control is implemented with digital microcontrollers, embedded within a dynamical plant that represents physical components.</p> <p>We present a new algorithm based on counter-example guided inductive synthesis that automates the design of digital controllers that are correct by construction. The synthesis result is sound with respect to the complete range of approximations, including time discretization, quantization effects, and finite-precision arithmetic and its rounding errors.</p> <p>We have implemented our new algorithm in a tool called DSSynth, and are able to automatically generate stable controllers for a set of intricate plant amodels taken from the literature within minutes.</p>
Vocal imitation of percussion sounds: on the perceptual similarity between imitations and imitated sounds
<p>Dataset of the drum sounds and vocal imitations used in the listening study. There are 30 drum sounds, indexed 0-29. The imitations are indexed by imitator (0-13), with imitations of each drum sound in the respective directories. Included is a csv file containing the participant responses from the listening test.</p> <p>NOTE: The BFD drum samples have been made available with the permission of FXpansion Audio UK. Permission is granted for their use in further academic research. Contact SKoT McDonald <skot@fxpansion.com> for further information."</p> <p> </p> <p> </p>
Research data on pass-by sound emission measurements from train units for D7.4-Susteren pilot
<p>This dataset compiles sample measurement results for the N-RSD rail pilot from D7.4-Susteren pilot project report available once approved by the EC at https://cordis.europa.eu/project/id/860441/results. The data includes train unit subtypes, pass-by sound levels, speed, weight, wheel flat indication, brake type information and a sound emission rating. </p>
Intensive sounding dataset
<p>This research dataset is obtained from intensive sounding observation, which is related to a manuscript entitled "Observational Evaluation of Estimated Air Exchange Flux between Atmospheric Boundary Layer and Free Troposphere with WRF Model".</p>
DCASE 2024 Challenge Task 7 Development Dataset : Environmental Sound Scene Synthesis
<h1><strong>Description</strong></h1> <p>This dataset comprises embeddings and captions utilized as the development dataset for <a href="https://dcase.community/challenge2024/task-sound-scene-synthesis"><strong>DCASE 2024 Challenge Task 7</strong></a>, focusing on 'Environmental Sound Scene Synthesis.' The embeddings are derived from 60 different 4-second audio files formatted as mono 32-bit 32kHz, and are contained in the 'embeddings.tar.xz' file. Captions corresponding to each audio file can be found in 'caption.csv'. This dataset does not comprise the audio files, only the embeddings. Three different types of embeddings are provided: VGGish (vggish), MS-CLAP (clap-2023), and PANNs CNN14 Wavegram-Logmel (panns-wavegram-logmel). Only PANNs CNN14 Wavegram-Logmel (panns-wavegram-logmel) embeddings are used for evaluation in the challenge. For further details, please refer to the challenge website.</p> <p><strong>Contact</strong></p> <ul> <li>Modan Tailleur, modan.tailleur@ls2n.fr</li> <li>Mathieu Lagrange, mathieu.lagrange@ls2n.fr</li> </ul>
Using a standardized sound set to help characterize misophonia: The international affective digitized sounds
<p>Misophonia is a condition characterized by negative affect, intolerance, and functional impairment in response to particular repetitive sounds usually made by others (e.g., chewing, sniffing, pen tapping) and associated stimuli. To date, researchers have largely studied misophonia using self-report measures. As the field is quickly expanding, assessment approaches need to advance to include more objective measures capable of differentiating those with and without misophonia. Although several studies have used sounds as experimental stimuli, few have used standardized stimuli sets with demonstrated reliability or validity. To conduct rigorous research to better understand misophonia, it is important to have an easily accessible, standardized set of acoustic stimuli for use across studies. Accordingly, in the present study, the International Affective Digitized Sounds (IADS-2), developed by Bradley and Lang [1], were used to determine whether participants with misophonia responded to certain standardized sounds differently than a control group. Participants were 377 adults (132 participants with misophonia and 245 controls) recruited from an online platform to complete several questionnaires and respond to four probes (arousal, valence, similarity to personally relevant aversive sounds, and sound avoidance) in response to normed pleasant, unpleasant, and neutral IADS-2 sounds. Findings indicated that compared to controls, participants with high misophonia symptoms rated pleasant and neutral sounds as significantly more (a) arousing and similar to trigger sounds in their everyday life, (b) unpleasant, and (c) likely to be avoided in everyday life. For future scientific and clinical innovation, we include a ranked list of IADS-2 stimuli differentiating responses in those with and without misophonia, which we call the IADS-M.</p>
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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)
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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.