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Dataset related to An objective comparison of quality and reliability of auditory brainstem response features elicited by click and speech sounds

Dataset related to An objective comparison of quality and reliability of auditory brainstem response features elicited by click and speech sounds
Dataset related to An objective comparison of quality and reliability of auditory brainstem response features elicited by click and speech sounds
The data was recorded in the programme 'Signal' version 4 made by Cambridge Electronic Design: ced.co.uk. There are 16 subjects. For subjects 1-9 and 15, the files are in CED format (.cfs), so these would need to be opened in 'Signal'. For subjects 10-14 and 16 the data have been exported as .txt files so that they can be loaded into Matlab directly. The first row is time and the second row is voltage. Note that an amplified with gain 10,000 was used, so to convert to voltage at the scalp, divide all values by 10,000. P is for participant, ck indicates click stimulation, Da indicated Da stimulation, 1 and 2 indicate repeats, N65 indicates a recording in background noise and NN indicates no stimulation level. e.g.for Participant 12 there are 7 files... P12ck1.txt - 1st click recording in quiet P12ck2.txt - repeat click in quiet P13ckN65.txt - click in 65 dB noise P12Da1.txt - 1st Da in quiet P12Da2.txt - 2nd Da in quiet P12CkN65.txt - Da in 65 dB noise P12NN.txt - no stimulation data An example matlab analysis file 'Time_and_Freq_analysis_ABR_speech.m' is included. This shows how to load in data, how it was filtered, averaged, artefact rejected and then time and spectral bootstrapping is carried out. The file 'Data_Description_Readme.txt' gives more detail of the recording of the data. It can also be found in the paper associated with this dataset (see dataset title). Participant 16 had particularly good data quality as an exemplar. Approval for the study was given by The University of Southampton Ethics Committee (ERGO Ethics Number: 2411)
University of Southampton
Bell, Steven
91de0801-d2b7-44ba-8e8e-523e672aed8a
Novis, Kimberley
9d185313-7084-4eb4-aebd-13d4af8685a1
Bell, Steven
91de0801-d2b7-44ba-8e8e-523e672aed8a
Novis, Kimberley
9d185313-7084-4eb4-aebd-13d4af8685a1

Bell, Steven and Novis, Kimberley (2018) Dataset related to An objective comparison of quality and reliability of auditory brainstem response features elicited by click and speech sounds. University of Southampton doi:10.5258/SOTON/D0527 [Dataset]

Record type: Dataset

Abstract

The data was recorded in the programme 'Signal' version 4 made by Cambridge Electronic Design: ced.co.uk. There are 16 subjects. For subjects 1-9 and 15, the files are in CED format (.cfs), so these would need to be opened in 'Signal'. For subjects 10-14 and 16 the data have been exported as .txt files so that they can be loaded into Matlab directly. The first row is time and the second row is voltage. Note that an amplified with gain 10,000 was used, so to convert to voltage at the scalp, divide all values by 10,000. P is for participant, ck indicates click stimulation, Da indicated Da stimulation, 1 and 2 indicate repeats, N65 indicates a recording in background noise and NN indicates no stimulation level. e.g.for Participant 12 there are 7 files... P12ck1.txt - 1st click recording in quiet P12ck2.txt - repeat click in quiet P13ckN65.txt - click in 65 dB noise P12Da1.txt - 1st Da in quiet P12Da2.txt - 2nd Da in quiet P12CkN65.txt - Da in 65 dB noise P12NN.txt - no stimulation data An example matlab analysis file 'Time_and_Freq_analysis_ABR_speech.m' is included. This shows how to load in data, how it was filtered, averaged, artefact rejected and then time and spectral bootstrapping is carried out. The file 'Data_Description_Readme.txt' gives more detail of the recording of the data. It can also be found in the paper associated with this dataset (see dataset title). Participant 16 had particularly good data quality as an exemplar. Approval for the study was given by The University of Southampton Ethics Committee (ERGO Ethics Number: 2411)

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Data_Description_Readme.txt - Dataset
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P4Da1.txt - Dataset
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P4Ck1.txt - Dataset
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P10Ck2.txt - Dataset
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P10Ck1.txt - Dataset
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P10CkN65.txt - Dataset
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P10Da1.txt - Dataset
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P10Da2.txt - Dataset
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P10DaN65.txt - Dataset
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P10NN.txt - Dataset
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P11Ck1.txt - Dataset
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P11Ck2.txt - Dataset
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P11CkN65.txt - Dataset
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P11Da1.txt - Dataset
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P11Da2.txt - Dataset
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P11DaN65.txt - Dataset
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P11NN.txt - Dataset
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P12Ck1.txt - Dataset
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P12Ck2.txt - Dataset
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P12CkN65.txt - Dataset
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P12Da1.txt - Dataset
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P12DaN65.txt - Dataset
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P12Da2.txt - Dataset
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P12NN.txt - Dataset
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P12N65.txt - Dataset
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P13Ck2.txt - Dataset
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P13Ck1.txt - Dataset
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P13CkN65.txt - Dataset
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P13Da1.txt - Dataset
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P13DaN65.txt - Dataset
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P13Da2.txt - Dataset
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P13NN.txt - Dataset
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P14Ck1.txt - Dataset
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P14CkN65.txt - Dataset
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P14Ck2.txt - Dataset
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P16Ck1.txt - Dataset
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P16Ck2.txt - Dataset
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P16CkN65.txt - Dataset
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P16Da1.txt - Dataset
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P16Da2.txt - Dataset
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P16DaN65.txt - Dataset
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P16NN.txt - Dataset
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P1Ck1.cfs - Dataset
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P1Ck2.cfs - Dataset
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P1CkN65.cfs - Dataset
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P1Da1.cfs - Dataset
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P1Da2.cfs - Dataset
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P1DaN65.cfs - Dataset
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P2Ck1.cfs - Dataset
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P1NN.cfs - Dataset
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P2Ck2.cfs - Dataset
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P2CkN65.cfs - Dataset
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P2Da2.cfs - Dataset
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P2Da1.cfs - Dataset
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P2NN.cfs - Dataset
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P2DaN65.cfs - Dataset
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P3Ck2.cfs - Dataset
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P3Ck1.cfs - Dataset
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P3CkN65.cfs - Dataset
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P3Da1.cfs - Dataset
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P3Da2.cfs - Dataset
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P3DaN65.cfs - Dataset
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P3NN.cfs - Dataset
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P4Ck1.cfs - Dataset
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P4Ck2.cfs - Dataset
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P4CkN65.cfs - Dataset
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P4Da1.cfs - Dataset
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P4Da2.cfs - Dataset
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P4DaN65.cfs - Dataset
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P4NN.cfs - Dataset
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P5bCk1.cfs - Dataset
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P5bCk2.cfs - Dataset
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P5bCkN65.cfs - Dataset
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P5bDa1.cfs - Dataset
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P5bDaN65.cfs - Dataset
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P5bDa2.cfs - Dataset
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P5bNN.cfs - Dataset
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P5Ck1.cfs - Dataset
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P5CkN65.cfs - Dataset
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P5Ck2.cfs - Dataset
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P5Da1.cfs - Dataset
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P5Da2.cfs - Dataset
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P5DaN65.cfs - Dataset
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P5NN.cfs - Dataset
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P6Ck2.cfs - Dataset
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P6Ck1.cfs - Dataset
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P6CkN65.cfs - Dataset
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P6Da1.cfs - Dataset
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P6Da2.cfs - Dataset
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P6DaN65.cfs - Dataset
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P6NN.cfs - Dataset
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P7Ck2.cfs - Dataset
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P7CkN65.cfs - Dataset
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P7Da1.cfs - Dataset
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P7Ck1.cfs - Dataset
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P7Da2.cfs - Dataset
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P7DaN65.cfs - Dataset
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P7NN.cfs - Dataset
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P8Ck1.cfs - Dataset
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P8Ck2.cfs - Dataset
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P8CkN65.cfs - Dataset
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P8Da2.cfs - Dataset
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P8Da1.cfs - Dataset
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P8DaN65.cfs - Dataset
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P8NN.cfs - Dataset
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P9Ck2.cfs - Dataset
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P9Ck1.cfs - Dataset
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P9CkN65.cfs - Dataset
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P9Da1.cfs - Dataset
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P9Da2.cfs - Dataset
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P9DaN65.cfs - Dataset
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P9NN.cfs - Dataset
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P15Ck2.cfs - Dataset
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P15Ck1.cfs - Dataset
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P15Da1.cfs - Dataset
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P15CkN65.cfs - Dataset
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P15Da2.cfs - Dataset
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P15DaN65.cfs - Dataset
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P15NN.cfs - Dataset
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Time_and_Freq_analysis_ABR_speech.m - Dataset
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More information

Published date: 2018
Organisations: Human Sciences Group, Institute for Life Sciences
Learn more about Institute for Life Sciences research

Identifiers

Local EPrints ID: 420890
URI: http://eprints.soton.ac.uk/id/eprint/420890
DOI: doi:10.5258/SOTON/D0527
PURE UUID: 07807b29-fe35-474e-ac95-33c918a46999

Catalogue record

Date deposited: 17 May 2018 16:33
Last modified: 09 Nov 2023 05:23

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Contributors

Creator: Steven Bell
Creator: Kimberley Novis

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