PsPM-NK dataset =============== Repository Version: 2017.02.07 This dataset includes four skin conductance response (SCR) measurements of 60 s duration for each of 32 healthy female university students (19-29 years) who participated in a public speaking anticipatory anxiety paradigm with a between-subjects design. Half of the participants were to deliver a public speech, and the other half a speech without an audience. -------------------------------------------------------------------------------- This repository is curated by the PsPM team, pspm.sourceforge.net -------------------------------------------------------------------------------- Dataset is described and used in following references: - Nadine Kuelzow & Gisela Erdmann & Martin Schmidt (2004) The influence of experimentally induced anxiety on learning passive avoidance. In A. M. Oliveira & M. P. Teixeira & G. F. Borges & M. J. Ferro (eds.), Fechner Day 2004. Proceedings of the twentieth annual meeting of the International Society for Psychophysics, pp 430-435, Coimbra:International Society for Psychophysics. - Dominik R. Bach & Jean Daunizeau & Nadine Kuelzow & Karl J. Friston & Raymond J. Dolan (2011) Dynamic causal modeling of spontaneous fluctuations in skin conductance. Psychophysiology, 48:2, pp 252-257. DOI:10.1111/j.1469-8986.2010.01052.x - Dominik R. Bach & Matthias Staib (2015) A matching pursuit algorithm for inferring tonic sympathetic arousal from spontaneous skin conductance fluctuations. Psychophysiology, 52:8, pp 1106-1112. DOI:10.1111/psyp.12434 -------------------------------------------------------------------------------- File Structure: -Readme.txt // This document -+Data // Folder Containing all data files |-conditions.mat // Index vector of conditions |-NK_SXX_CC.mat // 128 files holding SCR traces for 32 participants at 4 time points |-... ------------------------------------------------------------------------------- Data Files: Index vector of conditions is FALSE for non-public speech and TRUE for public speech. The data file name is composed of: - NK The dataset name - SXX_ The subject number (eg. S01) - CC one of four possible time points: baseline (BL), after announcement of speech (R1), after disclosure of topic (R2), immediately before speech (R3) Data 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 8.6 (R2015b) format.