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Dataset Open Access

PsPM-TC: SCR, ECG, EMG and respiration measurements in a discriminant trace fear conditioning task with visual CS and electrical US.

Tzovara, Athina; Hofer, Nicolas; Bach, Dominik R.; Castegnetti, Giuseppe; Gerster, Samuel; Korn, Christoph W.; Paulus, Philipp C.; Staib, Matthias


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.1295636", 
  "language": "eng", 
  "title": "PsPM-TC: SCR, ECG, EMG and respiration measurements in a discriminant trace fear conditioning task with visual CS and electrical US.", 
  "issued": {
    "date-parts": [
      [
        2018, 
        7, 
        12
      ]
    ]
  }, 
  "abstract": "<p>This dataset includes skin conductance response (SCR), electrocardiogram (ECG) and respiration measurements. Also included are CS and US information, keypress responses and keypress response times from 18 healthy unmedicated participants (8 males and 10 females aged 23.89+/-2.52 years) participating in a classical (Pavlovian) discriminant trace fear conditioning task. CS were a red and a blue rectangle presented for 3 seconds. US consisted of 0.5 s square electric pulses with 0.2 ms duration and 10 Hz frequency. SOA between the CS onset and US was 4 s. The ITI was randomly determined on each trial to be 7, 9, or 11 s.</p>", 
  "author": [
    {
      "family": "Tzovara, Athina"
    }, 
    {
      "family": "Hofer, Nicolas"
    }, 
    {
      "family": "Bach, Dominik R."
    }, 
    {
      "family": "Castegnetti, Giuseppe"
    }, 
    {
      "family": "Gerster, Samuel"
    }, 
    {
      "family": "Korn, Christoph W."
    }, 
    {
      "family": "Paulus, Philipp C."
    }, 
    {
      "family": "Staib, Matthias"
    }
  ], 
  "note": "See the readme file for more detail. \nData are stored as .mat files for use with MATLAB (The MathWorks Inc., Natick, USA) in a format readable by the PsPM toolbox (pspm.sourceforge.net). All Matlab files are saved in MATLAB 9.2 (R2017a) format.\nThis research was supported by Wellcome Trust grant 091593/Z/10/Z, and Swiss National Science Foundation grant 320030_149586/1.", 
  "version": "0.1.0", 
  "type": "dataset", 
  "id": "1295636"
}
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