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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2019
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 . 2019
License: CC BY
Data sources: ZENODO
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Passive Head-Mounted Display Music-Listening EEG dataset

Authors: Grégoire Cattan; Pedro L. C. Rodrigues; Marco Congedo;

Passive Head-Mounted Display Music-Listening EEG dataset

Abstract

Summary: This dataset contains electroencephalographic recordings of 12 subjects listening to music with and without a passive head-mounted display, that is, a head-mounted display which does not include any electronics at the exception of a smartphone. The electroencephalographic headset consisted of 16 electrodes. A full description of the experiment is available at https://hal.archives-ouvertes.fr/hal-02085118. Data were recorded during a pilot experiment taking place in the GIPSA-lab, Grenoble, France, in 2017 (Cattan and al, 2018). Python code for manipulating the data is downloadable at https://github.com/plcrodrigues/py.PHMDML.EEG.2017-GIPSA. The ID of this dataset is PHMDML.EEG.2017-GIPSA. Full description of the experiment and dataset: https://hal.archives-ouvertes.fr/hal-02085118 Principal Investigator: Eng. Grégoire Cattan Technical Supervisors: Eng. Pedro L. C. Rodrigues Scientific Supervisor: Dr. Marco Congedo ID of the dataset: PHMDML.EEG.2017-GIPSA

Keywords

Experiment, Electroencephalography (EEG), P300, Brain-Computer Interface (BCI), Virtual Reality (VR)

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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.
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influence
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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impulse
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