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1,300 results for “Sounds”
Results of optimal biocomposite mixture as best sound and thermal insulator
<p>Biobased composites are increasingly used. One of the most frequently used material is hemp shives, which is agricultural waste. However, as the quantities of this material are lacking, there is a tendency towards finding new and more available materials. Corncob and sawdust are bio by-products that have great potential as insulation materials. In order to use these aggregates, it is necessary to examine their characteristics. New composite materials based on sawdust, corncobs, polystyrene granules and the mixture of lime and plaster as the binder, were tested within this research. This paper presents the properties of these composites obtained by determining the porosity of samples, volume mass, water absorption, airflow resistance and heat flux, which was followed by calculation of the thermal conductivity coefficient. Three mixtures of the new composite material, whose samples were 1cm-5cm thick for each type of mixture, were investigated. The aim of this research was to analyze the results of different mixtures and sample thickness in order to determine the optimum composite material of the proper thickness so that the best possible thermal and sound insulation could be obtained. New composite materials can be used as an alternative to conventional materials.</p>
Precipitation and sounding data on 24 July 2014 in Naqu
<p>This dataset provides the observational precipitation and sounding data on 24 July 2014 in Naqu, China.</p> <p>Data are accessible upon request at the China Meteorological Data Network National Meteorological Science Data Center (http: //data.cma.cn)</p>
A Catalogue Of Sounds For UML Class Diagrams - Experimental Study
<p>This experiment was developed within the scope of the thesis "Constructing An Auditory Notation In Software Engineering - Understanding UML Models with voice and sound", and aims to determine if the construction of a catalogue of sounds that follows a more methodical approach is more effective for comprehension, when compared to a catalogue where the choice for sounds is purely arbitrary.</p> <p> </p> <p>Here are contained the results, along with the sounds used and the form that was presented to the participants.</p>
Fab Synthesis: Performing sound, from Musique Concrète to Mechatronics [attached audio and video]
<p>Audio and video files attached to the article by Panayotis Kokoras <em>Fab Synthesis: Performing sound, from Musique Concrète to Mechatronics</em></p>
SQAT v1_0: dataset of validation sounds
<p>Dataset of test sounds used to verify the psychoacoustic metrics implemented in the first release of the sound quality analysis toolbox (SQAT), version 1.0.</p> <p>In order to reproduce the verification codes in the <validation> folder of SQAT, this repository of test sounds needs to be downloaded and the paste <validation_SQAT_v1_0> has to be included in the <sound_files> folder of the toolbox.</p>
Multi-Environment Audio Dataset using RPi based Sound Logger
<p>The proposed dataset is a compilation of 10-12 audios from diverse environments. These audio sets are recorded using a portable sound logger. The audios(.wav audio file format) range from 30-60 mins with sampling frequency of 44.1KHz. Comprehensive literature illustrating the details of the system under test as well as the acoustic conditions around it can be found in the attached paper. The primary aim of releasing this database is to foster research in the field of medicine, especially otology along with other areas such as speech recognition, event detection, anomaly detection, etc.</p>
Figure 26 in The sea cucumbers of Camden Sound in northwest Australia, including four new species (Echinodermata: Holothuroidea)
Figure 26. Photo of live specimen of Mensamaria intercedens (Lampert, 1885) (WAM Z89067).
Figure 22 in The sea cucumbers of Camden Sound in northwest Australia, including four new species (Echinodermata: Holothuroidea)
Figure 22. Photo of live specimen of Stolus canescens (Semper, 1867) (WAM Z89056).
Figure 21 in The sea cucumbers of Camden Sound in northwest Australia, including four new species (Echinodermata: Holothuroidea)
Figure 21. Photo of live specimen of Hemithyone semperi (Bell, 1884) (WAM Z89055).
Current velocity data from a continuous survey using a towed ADCP in Sapelo Sound, Georgia, USA
<p><strong>Title: </strong>Current velocity data from a continuous survey using a towed ADCP in Sapelo Sound, Georgia, USA</p> <p><strong>Author/Data Collector: </strong>Chunyan Li</p> <p><strong>Point of Contact, PI, Originator: </strong>Chunyan Li (cli@lsu.edu)</p> <p><strong>Description:</strong></p> <p>These are velocity profile data from vessel towed ADCP obtained in the Sapelo Sound during a survey conducted on Sep. 16, 2000, for ~ 13 hours. The instrument was an RDI 600 KHz Workhorse ADCP.</p> <p>The ADCP was mounted on a sled towed by the boat. The vertical bins were 0.5 m. The surveys were conducted at an average cruise speed of about 2.5–3 m/s except at the turns when the vessel had to slow down and during CTD casts when the vessel had to stop for a few minutes. A Seabird Electronic SBE 19 plus CTD was used. Note that only ADCP data are included in this dataset.</p> <p>The data are averaged at about 20-second intervals, excluding bad data. The data presented here are in ASCII with the generic format provided by the RDI’s software WinRiver II output. The data file is:</p> <p>SAPELO0T.000</p> <p>Here is an example of the data –</p> <p> 50 50 25 40 4 0 4</p> <p>0 9 16 10 11 17 74 1 13 3.290 -2.490 108.000 28.290</p> <p>270.90 216.00 0.00 0.70 -32768 -32768 -32768 -32768 4.04 4.17 4.19 3.97</p> <p>70.92 20.47 -44.29 -55.38 70.91</p> <p> 31.5040556 -81.3190833 301.50 208.30 53.3</p> <p>-17.2 -16.3 -5.6 0.0 0.0 0.0 0.0 0.0 0.0</p> <p>28 cm BT counts 0.43 0.034</p> <p> 1.48 56.51 251.854 -53.7 -17.6 17.9 -2.2 157.0 170.0 164.0 166.0 100 -0.55</p> <p> 1.98 50.49 243.536 -45.2 -22.5 14.4 -0.1 164.0 178.0 172.0 172.0 100 -0.28</p> <p> 2.48 53.94 242.390 -47.8 -25.0 13.6 4.5 163.0 178.0 171.0 171.0 100 -0.28</p> <p> 2.98 55.93 245.268 -50.8 -23.4 10.2 9.3 162.0 176.0 168.0 170.0 100 -0.32</p> <p> 3.48 44.55 242.745 -39.6 -20.4 8.4 1.0 174.0 178.0 171.0 189.0 100 2147483647</p> <p> 3.98 7.17 59.859 6.2 3.6 0.4 -0.8 203.0 220.0 210.0 213.0 100 2147483647</p> <p> 4.48 42.56 53.696 34.3 25.2 4.0 -48.8 112.0 146.0 149.0 119.0 23 2147483647</p> <p> 4.98 78.55 357.957 -2.8 78.5 -0.5 -24.9 85.0 103.0 94.0 97.0 92 2147483647</p> <p> 5.48 90.74 36.756 54.3 72.7 -21.8 51.6 77.0 98.0 84.0 94.0 38 2147483647</p> <p> 5.98 129.25 14.563 32.5 125.1 -34.4 36.1 74.0 96.0 82.0 93.0 15 2147483647</p> <p> 6.48 59.84 92.011 59.8 -2.1 83.9 -276.1 74.0 94.0 79.0 93.0 8 2147483647</p> <p> 6.98 111.03 42.701 75.3 81.6 58.8 61.3 79.0 90.0 76.0 94.0 8 2147483647</p> <p> 7.48 94.48 7.847 12.9 93.6 -1.8 53.9 98.0 94.0 84.0 103.0 46 2147483647</p> <p> 7.98 28.63 39.472 18.2 22.1 -8.4 -96.0 92.0 98.0 95.0 103.0 92 2147483647</p> <p> 8.48 55.17 60.461 48.0 27.2 -6.7 -17.5 97.0 110.0 112.0 105.0 100 2147483647</p> <p> 8.98 70.91 54.876 58.0 40.8 -7.2 -50.9 94.0 120.0 110.0 102.0 92 2147483647</p> <p> 9.48 87.63 46.156 63.2 60.7 -4.7 -52.4 85.0 108.0 99.0 98.0 85 2147483647</p> <p> 9.98 149.70 45.189 106.2 105.5 -7.8 -8.6 79.0 96.0 86.0 94.0 62 2147483647</p> <p> 10.48 -32768 -32768 -32768 -32768 -32768 -32768 74.0 89.0 78.0 92.0 0 2147483647</p> <p>The ADCP data were used in Li (2013).</p> <p><strong>Acknowledgements</strong></p> <p>The data were collected on R/V Bluefin funded by NSF-LTER.</p> <p><strong>References</strong></p> <p>Li, C. (2013). Subtidal Water Flux through a Multi-inlet System: Observations Before and During a Cold Front Event and Numerical Experiments, <em>Journal of Geophysical Research: Oceans</em>, Vol. 118, 1–16, doi:10.1029/2012JC008109, 2013.</p>
Current velocity data from a continuous survey using a towed ADCP in Doboy Sound, Georgia, USA
<p><strong>Title: </strong>Current velocity data from a continuous survey using a towed ADCP in Doboy Sound, Georgia, USA</p> <p><strong>Author/Data Collector: </strong>Chunyan Li</p> <p><strong>Point of Contact, PI, Originator: </strong>Chunyan Li (cli@lsu.edu)</p> <p><strong>Description:</strong></p> <p>These are velocity profile data from vessel mounted ADCP obtained in the Doboy Sound during a survey conducted on Mar. 26, 2002, a 12.5-hour continuous survey. The instrument was an RDI 600 KHz Workhorse ADCP.</p> <p>The data presented here are in ASCII with the generic format provided by the RDI’s software WinRiver II output. There is one data file:</p> <p>Doboy_Mar26000_ASC.TXT</p> <p>Here is an example of the data –</p> <p> 50 50 213 30 12 50 1</p> <p>2 3 25 17 53 58 83 96 3 -1.897 0.760 105.297 18.920</p> <p>1.99 0.12 -0.17 0.10 0.00 16.00 0.00 18.66 9.13 9.28 9.03 9.37</p> <p>0.92 24.80 -0.10 0.77 0.77</p> <p>31.39938333 -81.29868333 6.34 0.00 1.6</p> <p>-1.4 -0.9 -0.2 -0.0 0.0 -0.0 0.0 3.24 7.74</p> <p>30 cm BT dB 0.44 0.086</p> <p> 3.24 39.55 347.44 -8.6 38.6 3.3 -7.8 77.1 83.5 80.2 82.1 100 -0.07</p> <p> 3.74 38.34 346.75 -8.8 37.3 3.4 -0.4 80.8 87.8 83.8 85.7 100 -0.10</p> <p> 4.24 41.47 343.01 -12.1 39.7 3.1 0.3 82.4 89.3 85.3 86.9 100 -0.11</p> <p> 4.74 34.01 341.50 -10.8 32.2 2.0 2.8 83.4 89.8 86.1 87.4 100 -0.10</p> <p> 5.24 42.40 352.00 -5.9 42.0 1.9 -8.1 84.0 89.9 87.2 87.6 100 -0.12</p> <p> 5.74 33.01 342.17 -10.1 31.4 2.6 0.7 84.5 90.3 87.5 88.0 100 -0.09</p> <p> 6.24 36.56 340.23 -12.4 34.4 1.7 -2.4 84.8 90.5 87.7 88.7 100 -0.09</p> <p> 6.74 37.87 347.51 -8.2 37.0 2.4 -4.3 85.1 91.5 88.5 89.3 100 -0.09</p> <p> 7.24 33.31 344.43 -8.9 32.1 1.4 -0.7 85.9 92.0 89.4 90.0 100 -0.08</p> <p> 7.74 27.63 342.97 -8.1 26.4 -1.0 1.7 86.1 92.3 89.7 90.1 99 -0.05</p> <p> 8.24 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p><strong>Acknowledgements</strong></p> <p>The data were collected on R/V Savannah funded by NSF-LTER.</p> <p> </p> <p> </p>
Current velocity data from a continuous survey using a towed ADCP in Altamaha Sound, Georgia, USA
<p><strong>Title: </strong>Current velocity data from a continuous survey using a towed ADCP in Altamaha Sound, Georgia, USA</p> <p><strong>Author/Data Collector: </strong>Chunyan Li</p> <p><strong>Point of Contact, PI, Originator: </strong>Chunyan Li (cli@lsu.edu)</p> <p><strong>Description:</strong></p> <p>These are velocity profile data from vessel towed ADCP obtained in the Sapelo Sound during a survey conducted on Sep. 13-15, 2000, which includes 16-hour stationary mooring measurements, a 16-hour continuous survey along a triangle (14 Sep, 06:21 14 Sep, 22:01 UTC), and overnight mooring for ~ 13 hours. The instrument was an RDI 600 KHz Workhorse ADCP.</p> <p>The ADCP was mounted on a sled towed by the boat. The vertical bins were 0.5 m. The surveys were conducted at an average cruise speed of about 2.5–3 m/s except at the turns when the vessel had to slow down and during CTD casts when the vessel had to stop for a few minutes. A Seabird Electronic SBE 19 plus CTD was used. Note that only ADCP data are included in this dataset.</p> <p>The data are averaged at about 30-second intervals, excluding bad data. The data presented here are in ASCII with the generic format provided by the RDI’s software WinRiver II output. There are three data files:</p> <p>ALT00T.000</p> <p>ALT00T.001</p> <p>ALT00T.002</p> <p>Here is an example of the data –</p> <p>50 50 25 40 4 0 4</p> <p>0 9 13 12 25 46 90 1 18 3.560 -2.580 304.440 26.860</p> <p>-369.50 -131.20 -0.80 -0.10 -32768 -32768 -32768 -32768 9.22 9.08 9.19 9.09</p> <p>121.98 31.10 41.03 114.87 121.98</p> <p> 31.9893333 -81.0330833 -314.40 -146.20 91.8</p> <p>69.8 1.8 7.3 0.0 0.0 0.0 0.0 0.0 0.0</p> <p>28 cm BT counts 0.43 0.034</p> <p> 1.48 23.08 254.157 -22.2 -6.3 13.3 2.5 161.0 170.0 167.0 169.0 100 0.04</p> <p> 1.98 26.23 267.378 -26.2 -1.2 13.0 2.2 166.0 175.0 172.0 173.0 100 0.28</p> <p> 2.48 28.51 271.809 -28.5 0.9 12.9 4.9 163.0 171.0 170.0 170.0 100 0.36</p> <p> 2.98 32.63 279.347 -32.2 5.3 11.6 2.1 160.0 168.0 167.0 167.0 100 0.54</p> <p> 3.48 32.65 266.840 -32.6 -1.8 9.7 1.7 157.0 166.0 164.0 164.0 100 0.35</p> <p> 3.98 32.11 271.249 -32.1 0.7 7.7 0.3 155.0 164.0 162.0 162.0 100 0.39</p> <p> 4.48 32.10 269.286 -32.1 -0.4 6.6 1.3 154.0 162.0 161.0 161.0 100 0.35</p> <p> 4.98 30.31 268.299 -30.3 -0.9 5.2 2.4 152.0 160.0 158.0 159.0 100 0.31</p> <p> 5.48 30.32 264.891 -30.2 -2.7 3.9 5.3 150.0 158.0 157.0 157.0 100 0.28</p> <p> 5.98 30.73 255.873 -29.8 -7.5 3.4 0.1 148.0 155.0 155.0 155.0 100 0.10</p> <p> 6.48 28.87 263.835 -28.7 -3.1 2.2 1.5 147.0 157.0 154.0 156.0 100 0.30</p> <p> 6.98 25.12 264.289 -25.0 -2.5 1.5 -1.6 154.0 165.0 160.0 164.0 89 0.23</p> <p> 7.48 27.16 260.676 -26.8 -4.4 1.8 -0.1 156.0 166.0 163.0 164.0 94 0.26</p> <p> 7.98 28.57 265.986 -28.5 -2.0 1.0 -1.5 147.0 161.0 157.0 155.0 83 0.31</p> <p> 8.48 25.42 257.276 -24.8 -5.6 1.2 -0.5 149.0 162.0 155.0 158.0 72 0.30</p> <p> 8.98 19.80 278.130 -19.6 2.8 0.3 0.7 154.0 169.0 160.0 164.0 61 0.63</p> <p> 9.48 14.44 257.600 -14.1 -3.1 -0.4 6.9 154.0 172.0 162.0 164.0 44 2147483647</p> <p> 9.98 11.79 320.505 -7.5 9.1 -1.3 -2.2 146.0 163.0 153.0 154.0 33 2147483647</p> <p> 10.48 8.79 348.179 -1.8 8.6 -0.2 8.0 130.0 142.0 135.0 137.0 22 2147483647</p> <p> 10.98 -32768 -32768 -32768 -32768 -32768 -32768 110.0 125.0 116.0 121.0 0 2147483647</p> <p>The ADCP data were used in Li (2013).</p> <p><strong>Acknowledgements</strong></p> <p>The data were collected on R/V Bluefin funded by NSF-LTER.</p> <p><strong>References</strong></p> <p>Li, C. (2013). Subtidal Water Flux through a Multi-inlet System: Observations Before and During a Cold Front Event and Numerical Experiments, <em>Journal of Geophysical Research: Oceans</em>, Vol. 118, 1–16, doi:10.1029/2012JC008109, 2013.</p>
ERA5 daily meteorological data (Puget Sound) for weather system identification
<p>This dataset includes the ERA5-based daily meteorological data over the US Puget Sound region. The data includes the following meteorological variables at 850hPa pressure level: temperature (T), relative humidity (RH), horizontal wind vector (U and V), vertical wind (W), and geopotential height (Z).</p> <p>The scripts here are used to establish the weather system classification model as in Chen et al. (submitted). More details, including the complete scripts for analysis/plotting will be updated here after the manuscript is published.</p> <p> </p> <p>Reference:</p> <p>Chen, X., L. R. Ruby, N. Sun, Weather Systems Connecting Modes of Climate Variability to Regional Hydroclimate Extremes. (submitted)</p>
Dataset for Phonological acquisition depends on the timing of speech sound
<p>Dataset for the analysis to the manuscript: Phonological acquisition depends on the timing of<br> speech sounds: Deconvolution EEG modelling across the first five years</p>
Recognition of sounds by ensembles of proteinoids
<p>Proteinoids are artificial polymers that imitate certain characteristics of natural proteins, including self-organization, catalytic activity, and responsiveness to external stimuli. This paper investigates the potential of proteinoids as organic audio signal processors. We convert sounds of the English alphabet into waveforms of electrical potential, feed the waveforms into proteinoid solutions and record electrical responses of the proteinoids. We also undertake a detailed comparison of proteinoids' electrical responses (frequencies, periods, and amplitudes) with original input signals. We found that responses of proteinoids are less regular and have lower dominant frequency, wider distribution of proteinoids and less skewed distribution of amplitudes compared with input signals. We found that letters of the English alphabet uniquely map onto a pattern of electrical activity of a proteinoid ensemble, that is the proteinoid ensembles recognise spoken letters of the English alphabet. The finding will be used in further designs of organic electronic devices, based on ensembles of proteinoids, for sound processing and speech recognition.</p>
US Puget Sound 6-km daily hydroclimate conditions during 1981-2020
<p>This dataset includes the WRF-simulated daily hydroclimate data over the US Puget Sound region during 1981-2020. The data includes the following single-level variables at 6-km grid spacing: precipitation (PREC_ACC_NC), 2-meter temperature (T2), snow water equivalent (SNOW), wind divergence (WindDiv), integrated water vapor (IWV), integrated vapor transport (uvIVT).</p> <p>The WRF model configuration and model validation can be found in Chen et al. (2018) and Chen et al. (2019).</p> <p>The scripts used to analyze these hydroclimate conditions as in Chen et al. (submitted) will be included in this repo after the manuscript is published.</p> <p> </p> <p>Reference:</p> <p>Chen, X., L. R. Ruby, N. Sun, Impact of ENSO and MJO on the U.S. Puget Sound Regional Hydroclimate. (submitted)</p> <p>Chen, X., Leung, L. R., Gao, Y., Liu, Y., Wigmosta, M., & Richmond, M. (2018). Predictability of extreme precipitation in western U.S. watersheds based on atmospheric river occurrence, intensity, and duration. Geophysical Research Letters, doi: 10.1029/2018GL079831</p> <p>Chen, X., Leung, L. R., Wigmosta, M., & Richmond, M. (2019). Impact of atmospheric rivers on surface hydrological processes in western U.S. watersheds. Journal of Geophysical Research: Atmospheres, doi: 10.1029/2019JD030468</p>
Impulse sounds for the evaluation of impulse or transient noise reduction
<p>This data set includes nine impulse or transient sounds which have been used for the evaluation of impulse noise reduction in hearing aids.</p><p> </p><p><strong>Evaluation of impulse noise reduction in hearing aids with technical measurements and ratings of discomfort</strong></p><p>Hendrik Husstedt, Wiebke Hilgerdenaar, Marlitt Frenz, Florian Denk and Jürgen Tchorz</p><p>Acta Acust., 7 (2023) 47, DOI: <a href="https://doi.org/10.1051/aacus/2023042">https://doi.org/10.1051/aacus/2023042</a></p><p> </p><p> </p><p>All signals are provided as Wave files and "-mat" files. Each recording has a length of 155 ms and the impulse starts after 5 ms.</p><p>Wave files:</p><p>- full scale value corresponds to 200 Pa sound pressure or 140 dB SPL peak sound pressure level </p><p>- 96.000 sample rate</p><p>- 24 bits per sample</p><p>.mat file "sData.mat":</p><p>data.fs ... sample rate</p><p>data.t ... time vector to plot the signals</p><p>data.impulses(1).name ... name of the first impulse signal</p><p>data.impulses(1).signal ... first impulse signal</p><p>data.impulses(1).dBCpeak ... C-weighted peak sound pressure level of the first impulse signal</p><p> </p>
Parrot sound tool design: drum tool data
<p>The rarity of tool manufacture in wild parrots is surprising because they share key life history traits with advanced tool-using species including large brains, complex sociality, and prolonged parental care. When it does occur, tool manufacture in parrots tends to be innovative, spontaneous and individually variable but most cases have been in captivity. In the wild, only palm cockatoos (<em>Probosciger</em> <em>aterrimus</em>) have been observed using tools regularly. However, they are unusual because they use tools to enhance their displays rather than for foraging or self-maintenance. Males in northern Australia <span>make two types of tool from sticks and seed pods, which they tap rhythmically against a tree during display. </span>We analysed 256 sound tools retrieved from 70 display trees. Drum sticks (89% of tools) were used more often than seed pod tools; most males manufactured only drumsticks, but some made both types. Individual males differed significantly in the design of their drumsticks including the length, width and mass, but we found no evidence that neighbours copied each other. We discuss the highly individualised preferences for sound tool design in context of the behavioural predispositions behind the rarity of tool manufacture in wild parrots.</p>
Sounding Covid-19 Repository
<p>The Covid-19 pandemic has caused cities to become sparsely populated, significantly changing urban sound environments with different restrictions placed. By capturing audio recordings at various points during lockdowns, we can sonically observe the impact of Covid-19 constraints and how these places have transformed over time. </p> <p>The repository holds 91 sound compositions from 27 separate locations, focusing on the effects of Covid-19 during Belfast, Northern Ireland's Lockdowns (1-3 in 2020-2021), Exit Strategies (Summer 2020 and 2021), Lifted Restrictions (2022), and a Lockdown visit to Montreal, Canada, in 2020-2021. </p> <p>This project explores the auditory and sonic art perspectives of how cities sound without the presence of humans or the usual level of human density in popular public spaces in Belfast and a few areas in Montreal. It focuses on field recordings, soundwalking experiences, soundscape composition, and sound map contributions.</p> <p>Folders contain audio and images, categorised as:</p> <p><strong>1-Sounding Covid-19_Belfast-Northern Ireland</strong></p> <ul> <li>1-Lockdown 1 + Exit Strategies-2020</li> <li>2-Lockdown 2-2020</li> <li>3-Lockdown 3 + Exit Strategies-2021</li> <li>4-Lifted Restrictions-2022</li> </ul> <p><strong>2-Sounding Covid-19_Montreal-Canada</strong></p>
Interwoven Sound Spaces - Full Concert - 21 December 2022 - Live Streaming Camera at Studio Acusticum
<p>Recording of the live streaming of the Interwoven Sound Spaces telematic music performance concert. This is the footage captured by the videocamera placed at Studio Acusticum, Piteå, Sweden.</p> <p>Interwoven Sound Spaces is an interdisciplinary project which brought bringing together telematic music performance, interactive textiles, interaction design, and artistic research. A team of researchers collaborated with two professional contemporary music ensembles based in Berlin, Germany, and Piteå, Sweden, and four composers, with the aim of creating a telematic distributed concert taking place simultaneously in two concert halls and online. Central to the project was the development of interactive textiles capable of sensing the musicians’ movements while playing acoustic instruments, and generating data the composers used in their works. Musicians, instruments, textiles, sounds, halls, and data formed a network of entities and agencies that was is reconfigured for each piece, showing how networked music practice enables distinctive musicking techniques. </p>
ScienceDex guides
Understand access before you commit
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.