DOI: 10.7910/dvn/ujkjot
title: Supplementary Materials for 'Neural Entrainment to Regular Rhythm Is a Biological Universal of the Aesthetic Pleasure of Poetry'

description: Data is fully anonymised.

Data was collected with ethics approval from the University of Suceava Ethics Committee.

The data set includes cleaned EEG signal for recorded for 50 participants while they listened to the same recorded recitation of the poem 'Sailing to Byzantium' by W. B. Yeats. The participants were assigned to 2 groups. One group consisted of Romanian bilinguals who were speakers of English (N=28, 9 male, 19 female, age 18-43, M=24.03, SD=6.51). The participants in the second group did not have any competence in English (N=22, 12 male, 10 female, age 18-60, M=27.57, SD=11.69). Data was collected using the Enobio 20 10-20 system on 19 electrodes with CMS on the right ear, 500 Hz sampling frequency, line noise filter at 50 Hz. The signal was cleaned by running Independent Component Analysis (ICA) with artefact rejection in EEGLab. The onset of EEG recording and of sound stream playing were synchronised using the Lab Streaming Layer (LSL) within the SNAP - Simulation and Neuroscience Application Platform freeware. The Praat software was used to determine the exact onset and end of each line of verse in the sound stream. 
We include raw and clean EEG signal segments corresponding to recorded recitation of lines 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 23, 27, 30 of the poem for each participant for each channel. We also include the stimulus comprising the audio signal for the same lines of poetry, including both the raw audio and the sound envelope for each line. The codes used and brief explanation are also included.
The database is organised as follows:
[Note: first extract zip files to desired location]
Folders and subfolders:
1. Audio: contains the audio stimuli
1.1 Envelope: contains the sound envelope extracted from the audio signal separately for each line of verse (e.g. vers1_ENV_band corresponds to the sound envelope for the recorded recitation of line 1 of the poem)
1.2 Raw audio: contains the raw audio signal of the recorded recitation separately for each line of verse (e.g. 'vers1 Raw audio' is the recorded recitation of line 1 of the poem)
2. Codes: Contains the codes used (Word, txt, and MATLAB) and steps
3. EEG: contains recorded EEG signal for each line of verse for each participant
3.1 Raw EEG: contains raw EEG signal organised hierarchically from top down by line of verse and participant number 
3.1.1 Vers1: contains raw EEG signal corresponding to line 1 of the poem for each participant
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3.1.14 Vers30: contains raw EEG signal corresponding to line 30 of the poem for each participant
3.2 Txt files per channel - cleaned EEG: contains clean EEG signal for each participant for each channel
3.2.1 vers1: contains clean EEG signal for each participant for each channel corresponding to line 1 of the poem
3.2.1.1 p1: contains clean EEG signal for participant 1 for each channel, corresponding to line 1 of the poem (e.g. vers1_c3 = clean EEG for participant 1, C3 channel, corresponding to line 1 of the poem)
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3.2.1.50 p58: contains clean EEG signal for participant 58 for each channel, corresponding to line 1 of the poem (e.g. c3 = clean EEG for participant 58, C3 channel, corresponding to line 1 of the poem)
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3.2.14 vers30: contains clean EEG signal for each participant for each channel corresponding to line 30 of the poem.
description: The research leading to these results has received funding from the NO Grants 2014-2021, under Project contract no. 18 ⁄ 2020, project number RO-NO-2019-0091.