Open dataset for: "Delta-beta cross-frequency coupling as an index of stress regulation during social-evaluative threat"

Published: 8 Nov 2019 | Version 2 | DOI: 10.17632/bnfzdtbmzf.2
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Description of this data

Open data and R analysis scripts for the paper as submitted for publication: "Poppelaars, E. S., Klackl, J., Pletzer, B., & Jonas, E. (2019). Delta-beta cross-frequency coupling as an index of stress regulation during social-evaluative threat."

Hypotheses and analyses were preregistered: Poppelaars, E. S., Klackl, J., Pletzer, B., & Jonas, E. (2018). Delta-beta cross-frequency coupling as an index of stress regulation during social-evaluative threat. Open Science Framework. https://osf.io/8gchf/register/565fb3678c5e4a66b5582f67.

Description of the dataset:
A dataset of 37 men and 30 women (tested in the luteal phase of their menstrual cycle) participated in a public speaking task to induce social-evaluative threat. Responses of multiple stress systems were measured (sympathetic and parasympathetic nervous system activity, self-reported affect, and hypothalamic–pituitary–adrenal axis activity), as well as personality traits (e.g. trait social anxiety), and EEG delta-beta cross-frequency coupling (e.g., frontal and parietal amplitude-amplitude correlation and phase-amplitude coupling).

Description of analyses files:

  • File 'README.txt' contains the description of the files (metadata).
  • File 'SET_CFC_MatlabOutput.xlsx' contains the delta-beta coupling data, calculated using MATLAB scripts from https://github.com/ESPoppelaars/Cross-frequency-coupling.
  • File 'SETData.sav' contains the raw stress and personality data, taken from https://doi.org/10.17632/7vj8r76s6f.
  • Files 'SET_CFC.outl.del.RData' contains the complete dataset with missing values and outliers deleted.
  • File 'Codebook_SET_CFC.outl.del.csv' contains a description of all variables in the 'SET_CFC.outl.del.RData' file (metadata).
  • Files 'SET_CFC.outl.del.imp.RData' and 'SET_CFC.outl.del.imp.extra.RData' contain multiple imputed datasets (without missing values) that can be used to reproduce results from the paper.
  • File 'LSA_HSA_brief.RData' contains data to use as informed priors for the Bayesian analyses, calculated from data published at https://doi.org/10.3758/s13415-018-0603-7.
  • File 'Codebook_LSA_HSA_brief.csv' contains a description of all variables in the 'LSA_HSA_brief.RData' file (metadata).
  • File '01_CalculationOfData.R' is an R analysis script that imports the raw data, calculates new variables, and imputes missing data via multiple imputation using the 'predictorMatrixAdj.xlsx' file.
  • File '02_AnalysisOfImputedData.R' is an R analysis script that calculates descriptive statistics, creates plots, and tests hypotheses using t-tests, Bayesian statistics, and multiple lineair regressions. Also uses the custom functions: 'BF.evidence.R', 'cohen.d.magnitude.R' and 'p.value.sig.R', as well as the 'BF_t.R' file as taken from https://doi.org/10.17045/sthlmuni.4981154.v3.

Experiment data files

Related links

Latest version

  • Version 2

    2019-11-08

    Published: 2019-11-08

    DOI: 10.17632/bnfzdtbmzf.2

    Cite this dataset

    Poppelaars, Eefje; Klackl, Johannes; Pletzer, Belinda; Jonas, Eva (2019), “Open dataset for: "Delta-beta cross-frequency coupling as an index of stress regulation during social-evaluative threat"”, Mendeley Data, v2 http://dx.doi.org/10.17632/bnfzdtbmzf.2

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Categories

Psychology, Physiology, Neuroscience, Endocrinology, Sympathetic Nervous System, Parasympathetic Nervous System, Anxiety, Emotional Stress, Cortisol, Oscillation, Emotion

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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