Dataset Open Access

Emotion-Antecedent Appraisal Checks: EEG and EMG datasets for Goal Conduciveness, Control and Power

Gentsch, Kornelia; Coutinho , Eduardo; Grandjean, Didier; Scherer, Klaus R.

The Electroencaphalography (EEG) and facial Electromyography (EMG) signals included in this dataset was collected in the context of a previous study (Gentsch, Grandjean & Scherer, 2013). This dataset contains the exact data used in Coutinho, Gentsch, van Peer, Scherer & Schuller (to appear). The only difference in relation to the original data is that the some of the pre-processing steps (i.e., the processing of the the raw data) were changed. The full details of the data collected and pre-processing are included in a file distributed with the data (dataset-details.pdf).

References

Coutinho, Gentsch, van Peer, Scherer & Schuller (to appear). Evidence of Emotion-Antecedent Appraisal Checks in Electroencephalography and Facial Electromyography. PloS One.

Gentsch K, Grandjean D, Scherer KR. Temporal dynamics of event-related potentials related to goal conduciveness and power appraisals. Psychophysiology. 2013;50(10):1010–1022. 

Files (1.3 GB)
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study2_dataset_description.pdf
md5:9ee7bd0fdaa454cf8ed0d45f8db0af80 		242.7 kB Download
study2_eeg.tar.gz
md5:e7c64ca1142b1cb483818101326d8b6c 		1.3 GB Download
study2_emg.tar.gz
md5:cd087a79321ff7a8538853179c264d5f 		38.7 MB Download

  • Gentsch K, Grandjean D, Scherer KR. Temporal dynamics of event-related potentials related to goal conduciveness and power appraisals. Psychophysiology. 2013;50(10):1010–1022.

  • Coutinho, Gentsch, van Peer, Scherer & Schuller (2017).

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Publication date:
December 2, 2017
DOI:
10.5281/zenodo.222615

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Keyword(s):
Appraisal, EEG, EMG, Machine Learning, Classification
Published in:
Pl:.
Grants:
European Commission:
  • PROPEREMO - Production and perception of emotion: An affective sciences approach (230331)
License (for files):
Creative Commons Attribution 4.0 International

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Version 1 10.5281/zenodo.222615 Dec 2, 2017
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