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<br>The main results files are saved separately:<br>- 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<br>The studies were preregistered:Study 1: https://doi.org/10.17605/OSF.IO/UYJVAStudy 2: https://doi.org/10.17605/OSF.IO/JVMFD<br><b>DATA &amp; FILE OVERVIEW</b><br>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.<br>ASSR_study1_experiment_scripts.zip: contains the Python files to run the experiment. <br>ASSR_study1_rawdata.zip: contains raw datafiles for each subject<br>- 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)<br>ASSR_study1_EEG_scripts.zip: Python-MNE scripts to process the EEG data<br>ASSR_study1_EEG_preprocessed.zip: Preprocessed EEG data from Python-MNE<br>ASSR_study1_analysis_scripts.zip: R scripts to analyze the data together with the main datafiles. The main files in the folder are: <br>- 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<br>ASSR_study1_figures.zip: contains all figures and tables that are created by Python-MNE and R.<br>ASSR_study2_experiment_scripts.zip: contains the Python files to run the experiment<br>ASSR_study2_rawdata.zip: contains raw datafiles for each subject<br>- 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)<br>ASSR_study2_EEG_scripts.zip: Python-MNE scripts to process the EEG data<br>ASSR_study2_EEG_preprocessed.zip: Preprocessed EEG data from Python-MNE<br>ASSR_study2_analysis_scripts.zip: R scripts to analyze the data together with the main datafiles. The main files in the folder are:<br>- 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.<br>ASSR_study2_figures.zip: contains all figures and tables that are created by Python-MNE and R.<br><b>Instrument- or software-specific information needed to interpret the data:</b>MNE-Python (Gramfort A., et al., 2013): https://mne.tools/stable/index.html#Rstudio used with R (R Core Team, 2016): https://rstudio.com/products/rstudio/Wiens, S. (2017). Aladins Bayes Factor in R (Version 3). https://www.doi.org/10.17045/sthlmuni.4981154.v3<br><br><br><br>