MMSPG OPPD: Odor Pleasantness Perception Database

Author: EPFL

Partner: Yes

Contact: Eleni Kroupi (



Subjective scores: true


The EEG datasets (in MATLAB format) that were used to produce the results in the paper EEG Correlates of Pleasant and Unpleasant Odor Perception. The dataset consists of 5 subjects. The necessary explanatory files are included in the folder. The files published here allow to reproduce the results in the aforementioned paper, but can also be used as a basis for your own research on odor pleasantness perception from EEG signals. Should you use the datasets for your own publications please do not forget to cite our paper.


You can download all files and associated subjective ratings. Instructions for download can be obtained at ( and from Eleni Kroupi (

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The original link was:


Permission is hereby granted, without written agreement and without license or royalty fees, to use, copy, modify, and distribute the data provided and its documentation for research purpose only. The data provided may not be commercially distributed. In no event shall the Ecole Polytechnique Fédérale de Lausanne (EPFL) be liable to any party for direct, indirect, special, incidental, or consequential damages arising out of the use of the data and its documentation. The Ecole Polytechnique Fédérale de Lausanne (EPFL) specifically disclaims any warranties. The data provided hereunder is on an "as is" basis and the Ecole Polytechnique Fédérale de Lausanne (EPFL) has no obligation to provide maintenance, support, updates, enhancements, or modifications.

References and Citation

You can use the OPPD dataset in your research without any conditions, as long as you clearly mention and acknowledge the following paper [KSE14].


  • KSE14: E. Kroupi, D. Sopic and T. Ebrahimi. Non-Linear EEG Features for Odor Pleasantness Recognition. 6th International Workshop on Quality of Multimedia Experience, Singapore, 2014.