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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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EEG/MEG recordings using german audio book

Authors: Schilling, Achim; Krauss, Patrick; Kölbl, Nikola;

EEG/MEG recordings using german audio book

Abstract

Subjects (1-33) are numbered according to measurement date. Due to setup problems, the data from subjects 7, 13, 14, and 18 are unusable. Preprocessed EEG data is stored in files "Prob..._EEGData_raw.fif".Preprocessed MEG data is stored in files "Prob..._fixed_ICA_prep_raw.fif".The stimuli channel containing the trigger for the audio book are stored in "Prob..._stimuli_channel_raw.fif". The data is preprocessed with following pipeline: Identifying and interpolating bad electrodes/sensors (flat or noisy channels) Bandpass filter (1-20Hz) Independent Component Analysis (ICA) Identifying and removing Independent Components (ICs) correlating with Electrooculogram/Electrocardiogram and two highest variance 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average