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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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PsPM-SCBD: Skin conductance response from a delay fear conditioning task with auditory CS (monophones/triads)

Authors: Staib, Matthias; Giuseppe Castegnetti; Bach, Dominik R;

PsPM-SCBD: Skin conductance response from a delay fear conditioning task with auditory CS (monophones/triads)

Abstract

This dataset includes skin conductance response (SCR) measurements for 10 healthy unmedicated participants (5 females and 5 males, age range: 18 - 33 years, mean age: 24.1 +/- 4.7) participating in a classical (Pavlovian) discriminant delay fear conditioning experiment with auditory CS. Also included are CS and US information, and ratings of CS after the experiment. Simple and complex CS were simple sine tones (4 s), and triads in root position or in first inversion, respectively. US was a train of electric square pulses delivered with a constant current stimulator (Digitimer DS7A, Digitimer, Welwyn Garden City, UK) on participants' dominant forearm through a pin-cathode/ring-anode configuration. After the fear conditioning task, participants were first asked to report their subjective estimate of how likely they were to receive a shock after a given CS in the future, on a visual analogue scale of 0-100. Then they were asked to rate pairs of CS sounds with respect to which of the two stimuli they liked less.

This work was funded by the University of Zurich and the Swiss National Science Foundation [320030 1449586/1]. The Wellcome Trust Centre for Neuroimaging is supported by core funding from the Wellcome Trust [091593/Z/10/Z]. Data are stored as .mat files for use with MATLAB (The MathWorks Inc., Natick, USA) in a format readable by the PsPM toolbox (bachlab.org/pspm). All Matlab files are saved in MATLAB 9.7 (R2019b) format.

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Keywords

SCR, skin conductance response

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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