Open data: Visual load does not decrease the auditory steady state response to 40-Hz amplitude-modulated tones

Open data: Visual load does not decrease the auditory steady state response to 40-Hz amplitude-modulated tones The main results files are saved separately: - ASSR_study1.html: R output of the main analyses- ASSR_study1_subset_subjects.html: R output of the main analyses- ASSR_study2.html: R output of the main analyses The studies were preregistered:Study 1: https://doi.org/10.17605/OSF.IO/UYJVAStudyOpens in a new tab 2: https://doi.org/10.17605/OSF.IO/JVMFDOpens in a new tab DATA & FILE OVERVIEW File List:The files contain the raw data, scripts, and results of main and supplementary analyses of two electroencephalography (EEG) studies (Study1, Study2). Links to the hardware and software are provided under methodological information. ASSR_study1_experiment_scripts.zipOpens in a new tab: contains the Python files to run the experiment. ASSR_study1_rawdata.zipOpens in a new tab: contains raw datafiles for each subject - data_EEG: EEG data in bdf format (generated by Biosemi)- data_log: logfiles of the EEG session (generated by Python)- data_WMC: logfiles of the working memory capacity task (generated by Python) ASSR_study1_EEG_scripts.zipOpens in a new tab: Python-MNE scripts to process the EEG data ASSR_study1_EEG_preprocessed.zipOpens in a new tab: Preprocessed EEG data from Python-MNE ASSR_study1_analysis_scripts.zipOpens in a new tab: R scripts to analyze the data together with the main datafiles. The main files in the folder are: - ASSR_study1.html: R output of the main analyses- ASSR_study1_subset_subjects.html: R output of the main analyses but after excluding five subjects who were excluded because of stricter, preregistered artifact rejection criteria ASSR_study1_figures.zipOpens in a new tab: contains all figures and tables that are created by Python-MNE and R. ASSR_study2_experiment_scripts.zipOpens in a new tab: contains the Python files to run the experiment ASSR_study2_rawdata.zipOpens in a new tab: contains raw datafiles for each subject - data_EEG: EEG data in bdf format (generated by Biosemi)- data_log: logfiles of the EEG session (generated by Python)- data_WMC: logfiles of the working memory capacity task (generated by Python) ASSR_study2_EEG_scripts.zipOpens in a new tab: Python-MNE scripts to process the EEG data ASSR_study2_EEG_preprocessed.zipOpens in a new tab: Preprocessed EEG data from Python-MNE ASSR_study2_analysis_scripts.zipOpens in a new tab: R scripts to analyze the data together with the main datafiles. The main files in the folder are: - ASSR_study2.html: R output of the main analyses- ASSR_compare_performance_between_studies.html: R output of analyses that compare behavioral performance between study 1 and study 2. ASSR_study2_figures.zipOpens in a new tab: contains all figures and tables that are created by Python-MNE and R. Instrument- or software-specific information needed to interpret the data:MNE-Python (Gramfort A., et al., 2013): https://mne.tools/stable/index.html#RstudioOpens in a new tab used with R (R Core Team, 2016): https://rstudio.com/products/rstudio/WiensOpens in a new tab, S. (2017). Aladins Bayes Factor in R (Version 3). https://www.doi.org/10.17045/sthlmuni.4981154.v3Opens in a new tab