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ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
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RAW DATA form - Speech Auditory Brainstem Responses: Effects of Background, Stimulus Duration, Consonant-Vowel, and Number of Epochs

Authors: BinKhamis, Ghada;

RAW DATA form - Speech Auditory Brainstem Responses: Effects of Background, Stimulus Duration, Consonant-Vowel, and Number of Epochs

Abstract

Speech Auditory Brainstem Responses: Effects of Background, Stimulus Duration, Consonant-Vowel, and Number of Epochs Ghada BinKhamis, Agnès Léger, Steven L. Bell, Garreth Prendergast, Martin O’Driscoll, and Karolina Kluk doi: 10.1097/AUD.0000000000000648 (Please site above article) Description of raw EEG (speech-ABR) data main folder, subfolders, and raw EEG files Folder Information Main folder: Contains 144 subfolders with raw data from 12 participants Subfolder names: Each subfolder starts with the participant code S01, S02, S03, S04, S05, S06, S07, S08, S09, S10, S11, S12 Next is the stimulus duration: 40ms, 50ms, 170ms Next is the CV used to evoke speech-ABRs ba, da, ga And finally the background condition quiet, noise Example subfolder names: S01 40ms da noise:Participant number 1, speech-ABRs in response to the 40ms [da] in background noise S07 170ms ga quiet:Participant number 7, speech-ABRs in response to the 170ms [ga] in quiet Each participant has 12 subfolders: S__ 40ms da quiet S__ 40ms da noise S__ 50ms da quiet S__ 50ms da noise S__ 50ms ba quiet S__ 50ms ba noise S__ 50ms ga quiet S__ 50ms ga noise S__ 170ms da quiet S__ 170ms da noise S__ 170ms ba quiet S__ 170ms ga quiet Each participant subfolder contains four ‘.mat’ files, ‘.mat’ file names: Each ‘.mat’ file starts with the participant code S01, S02, S03, S04, S05, S06, S07, S08, S09, S10, S11, S12 Next is the stimulus duration: 40ms, 50ms, 170ms Next is the CV used to evoke speech-ABRs ba, da, ga Next is ‘noise’ if background condition was noise Next is the stimulus polarity Pos for positive/standard Neg for negative (reversed polarity stimulus) And finally is the recording number for that polarity R1 is the first recording R2 is the second recording Example ‘.mat’ file name: S04 50 ba Neg R1:Participant number 4, speech-ABR in response to the 50ms [ba] in quiet, reversed polarity stimulus, recording number one S02 40 da noise Pos R2:Participant number 2, speech-ABR in response to the 40ms [da] in background noise, standard/positive stimulus, recording number two File Information: Description of ‘.mat’ files that can be accessed and processed using MATLAB (MathWorks): Each ‘.mat’ file is a structure that contains the following fields: The first nine fields are informational, for example: xunits: ‘s’ indicates that the recording time window is in seconds, conversion to milliseconds would be required to plot the data in milliseconds start: ‘0’ indicates that both stimulus and recording start at 0 seconds points: 1800is the number of sample points for speech-ABRs to the 40ms da, this number will be 2200for the speech-ABRs to the 50ms stimuli (ba, da, ga), and 4600for the speech-ABRs to the 170ms stimuli (ba, da, ga) chans: 2 is the number of channels (channel 2 is the ipsilateral channel) frames: 3000 is the number of epochs The last filed ‘values’is what contains the raw EEG data (1800x2x3000) 1800 is the number of samples 2 is the number of channels (channel one is recorded from the left ear lobe (A1) and channel two is from the right ear lobe (A2)) 3000 is the number of epochs The field ‘values’ for speech-ABRs to the 50ms stimuli is 2200x2x3000 and for speech-ABRs to the 170ms stimuli is 4600x2x3000. Stimulus starts at 0 seconds per epoch, pre-stimulus baseline may be extracted from the end of each epoch (i.e. before the next stimulus). Data is recorded in Volts and will need to be converted to Micro Volts Date of data collection: May to November 2016

Research funded by: Saudi Arabian Ministry of Education, King Fahad Medical City, and the Engineering and Physical Sciences Research Council (EPSRC grant No. EP/M026728/1)

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Keywords

Speech-ABR, 40ms [da], 50ms [ba] [da] [ga], 170ms [ba] [da] [ga], raw data

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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