10.17045/sthlmuni.8281406.v1 Stefan Wiens Stefan Wiens Rasmus Eklund Rasmus Eklund Open data: Effects of a Manual Response Requirement on Early and Late Correlates of Auditory Awareness Stockholm University 2019 Consciousness awareness EEG ERP neural correlates Biological Psychology (Neuropsychology, Psychopharmacology, Physiological Psychology) Neuroscience and Physiological Psychology Sensory Processes, Perception and Performance 2019-09-11 13:27:40 Dataset https://su.figshare.com/articles/dataset/Open_data_Effects_of_a_Manual_Response_Requirement_on_Early_and_Late_Correlates_of_Auditory_Awareness/8281406 Eklund, R., Gerdfeldter, B., & Wiens, S. (2019). Effects of a Manual Response Requirement on Early and Late Correlates of Auditory Awareness. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.02083<br><br>We manipulated the manual response requirement (response and no-response) in an auditory detection task while we recorded electroencephalography. Event-related potentials (ERPs) were computed from these data.<br><br>AAN4_OSF_Register Auditory Awareness Negativity.pdf contains the preregistration at open science framework (osf).<br>https://doi.org/10.17605/OSF.IO/ZW8Q7<br><br>rawdata_2019_AAN4_*_**_bdf.zip contains the raw eeg data files (subjects * to **) that were recorded with a biosemi system (www.biosemi.com). The files can be opened in MNE-Python. https://www.nmr.mgh.harvard.edu/mne/stable/index.html<br><br>AAN4_MNE.zip contains all the Python scripts that were used to process the ERP data and the final, preprocessed individual data files. They can be opened with MNE-Python.<br><br>AAN4_Python.zip contains the python scripts for the main task. They need python (https://www.python.org/) and psychopy (http://www.psychopy.org/)<br><br>AAN4_beh_data_and_R_scripts.zip contains the behavioral data and R scripts to process the behavioral data. https://www.r-project.org/.<br><br><br>AAN4_Supplementary.zip contains:<br><br>JASP_AAN4_amps.html: Exploratory Bayesian analyses for response versus no-response for AAN (160 to 260 ms), LP (350 to 550 ms), and LPexp (350 to 450 ms).<br><br>Motivation_for_the_preregistered_electrode_selection.pdf: Explains rationale for electrode selection.<br><br>Simulation_AANr_minus_AANn.PNG: Results for the simulation of Bayesfactors for the AAN difference of response minus no-response.<br><br>Simulation_LPr_minus_LPn.PNG: Results for the simulation of Bayesfactors for the LP (350 to 550 ms) difference of response minus no-response.<br><br>Simulation_LPr_minus_LPn_shorter_interval.PNG: Results for the simulation of Bayesfactors for a shorter LP (350 to 450 ms) difference of response minus no-response.<br><br>Supp_Figure_erps.jpeg: Figure showing the ERPs to tones for the different conditions.<br><br>Supp_Figure_visual_components.jpeg: Figure showing the topographies of the visual component for all conditions.<br><br>source_localization_videos folder: Videos of source estimates for aware minus unaware critical trials and aware control trials.<br><br>data_driven_analysis folder: Contains analyses with data-driven electrode selection.<br><br> Electrodes_used_for_data_driven_analysis.txt: List of electrodes used for the data-driven analysis<br><br> Supp_Figure_data_driven.jpeg: Figure of the data-driven electrode selection for the topographies for AAN and LP.<br><br> Table_data_driven.docx: ERP results for the data-driven electrode selection.<br><br> JASP_AAN4_amps_data_driven.html: Bayesian analyses for the data-driven electrode selection.<br>