Olfactory EEG data set induced by different odor types

Citation Author(s):
Qing-Hao
Meng
Institute of Robotics and Autonomous Systems, School of Electrical and Information Engineering, Tianjin University
Hui-Rang
Hou
Institute of Robotics and Autonomous Systems, School of Electrical and Information Engineering, Tianjin University
Submitted by:
Hui-Rang Hou
Last updated:
Sat, 05/14/2022 - 23:04
DOI:
10.21227/4cc8-0b98
Paper:
License:
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Abstract 

The data set collected using a Cerebus neural signal acquisition equipment involed thirteen odor stimulating materials, five of which (smelling like rose (A), caramel (B), rotten (C), canned peach (D), and excrement (E)) were selected from the T&T olfactometer (from the Daiichi Yakuhin Sangyo Co., Ltd., Japan) and the remaining eight from essential oils (i.e., mint (F), tea tree (G), coffee (H), rosemary (I), jasmine (J), lemon (K), vanilla (L) and lavender (M)).

Instructions: 

Participants: 11 health postgraduates aged 24.9 ± 3.0, including 8 males and 3 females

Experimental Environment: Soundproof olfactory EEG Laboratory

EEG Signal Acquisition Equipment: Cerebus equipment

Electrode Cap: 32 channels. The electrodes are arranged according to the international 10-20 system. Except 2 reference electrodes at mastoid, 30 electrodes are used for data classification.

Sampling Rate: 1k Hz

Sampling Duration: 10 s

Sample Size: 35 EEG samples were collected for each participant smelling each odor, a total of 11 (number of participants) × 13 (number of odor types) × 35 = 5005 EEG samples.

Dataset Files

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