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Emotion-Antecedent Appraisal Checks: EEG and EMG datasets for Novelty and Pleasantness

van Peer, Jacobien M.; Coutinho , Eduardo; Grandjean, Didier; Scherer, Klaus R.


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{
  "description": "<p>The Electroencaphalography (EEG) and facial Electromyography (EMG) signals included in this data set were collected&nbsp;in the context of a previous study conducted by van Peer, Grandjean&nbsp;and Scherer (2014).&nbsp;That study addressed three fundamental questions regarding&nbsp;the mechanisms underlying the appraisal process:&nbsp;Whether appraisal criteria are processed (a) in a&nbsp;fixed sequence, (b) independent of each other, and&nbsp;(c) by different neural structures or circuits. In&nbsp;that study, an oddball paradigm with affective pictures&nbsp;was used to experimentally manipulate novelty&nbsp;and intrinsic pleasantness appraisals. EEG was&nbsp;recorded during task performance, together with&nbsp;facial EMG, to measure, respectively, cognitive processing&nbsp;and efferent responses stemming from the&nbsp;appraisal manipulations.&nbsp;The&nbsp;data set made here publicly available contains the exact same data used by Coutinho,&nbsp;Gentsch,&nbsp;van Peer,&nbsp;Scherer and Schuller (to appear). The only difference in relation to the original data is that the some of the pre-processing steps (i.e., the&nbsp;processing of the raw data) were changed in order to improve the detection of artifacts. The full details of the original study, data collected, pre-processing steps and final data set are included in&nbsp;the paper distributed with the data (study1_dataset.pdf).</p>\n\n<p><strong>References</strong></p>\n\n<p>Coutinho E,&nbsp;Gentsch k,&nbsp;van Peer JM,&nbsp;Scherer KR &amp; Schuller BW (to appear).&nbsp;Evidence of Emotion-Antecedent Appraisal Checks in Electroencephalography and Facial Electromyography. <em>PloS One</em>.</p>\n\n<p>van Peer JM, Grandjean D, Scherer KR (2014). Sequential unfolding of appraisals: EEG evidence for the interaction of novelty and pleasantness. <em>Emotion,&nbsp;</em>14(1), 51-63.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Behavioural Science Institute, Radboud University, The Netherlands", 
      "@type": "Person", 
      "name": "van Peer, Jacobien M."
    }, 
    {
      "affiliation": "Department of Music,University of Liverpool , UK and Department of Computing, Imperial College London, UK", 
      "@id": "https://orcid.org/0000-0001-5234-1497", 
      "@type": "Person", 
      "name": "Coutinho , Eduardo"
    }, 
    {
      "affiliation": "Swiss Center for Affective Sciences, University of Geneva, Switzerland", 
      "@type": "Person", 
      "name": "Grandjean, Didier"
    }, 
    {
      "affiliation": "Swiss Center for Affective Sciences, University of Geneva, Switzerland", 
      "@type": "Person", 
      "name": "Scherer, Klaus R."
    }
  ], 
  "url": "https://zenodo.org/record/197404", 
  "datePublished": "2017-12-02", 
  "keywords": [
    "Appraisal, EEG, EMG, Novelty, Pleasantness, Machine Learning, Classification"
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/fb73a522-e11d-487c-960a-1dc9587164d7/study1_dataset_description.pdf", 
      "encodingFormat": "pdf", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/fb73a522-e11d-487c-960a-1dc9587164d7/study1_eeg.tar.gz", 
      "encodingFormat": "gz", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/fb73a522-e11d-487c-960a-1dc9587164d7/study1_emg.tar.gz", 
      "encodingFormat": "gz", 
      "@type": "DataDownload"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.197404", 
  "@id": "https://doi.org/10.5281/zenodo.197404", 
  "@type": "Dataset", 
  "name": "Emotion-Antecedent Appraisal Checks: EEG and EMG datasets for Novelty and Pleasantness"
}
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