2026-10-14 https://api.researchdata.se/oai-pmh

oai:researchdata.se:doi-10-17045-sthlmuni-8281406/0 2019-09-12 subject:ssif:30105 subject:ssif:301 subject:ssif:3 subject:ssif:106 subject:ssif:1 principal:slug:stockholm-university

info:eu-repo/semantics/other http://purl.org/dc/dcmitype/Dataset https://doi.org/10.17045/STHLMUNI.8281406 Open data: Effects of a Manual Response Requirement on Early and Late Correlates of Auditory Awareness https://orcid.org/0000-0003-4531-4313 Rasmus Eklund Neurosciences Neurovetenskaper Biological Sciences Biologi 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 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. AAN4_OSF_Register Auditory Awareness Negativity.pdf contains the preregistration at open science framework (osf). https://doi.org/10.17605/OSF.IO/ZW8Q7 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 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. AAN4_Python.zip contains the python scripts for the main task. They need python (https://www.python.org/) and psychopy (http://www.psychopy.org/) AAN4_beh_data_and_R_scripts.zip contains the behavioral data and R scripts to process the behavioral data. https://www.r-project.org/. AAN4_Supplementary.zip contains: 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). Motivation_for_the_preregistered_electrode_selection.pdf: Explains rationale for electrode selection. Simulation_AANr_minus_AANn.PNG: Results for the simulation of Bayesfactors for the AAN difference of response minus no-response. Simulation_LPr_minus_LPn.PNG: Results for the simulation of Bayesfactors for the LP (350 to 550 ms) difference of response minus no-response. 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. Supp_Figure_erps.jpeg: Figure showing the ERPs to tones for the different conditions. Supp_Figure_visual_components.jpeg: Figure showing the topographies of the visual component for all conditions. source_localization_videos folder: Videos of source estimates for aware minus unaware critical trials and aware control trials. data_driven_analysis folder: Contains analyses with data-driven electrode selection. Electrodes_used_for_data_driven_analysis.txt: List of electrodes used for the data-driven analysis Supp_Figure_data_driven.jpeg: Figure of the data-driven electrode selection for the topographies for AAN and LP. Table_data_driven.docx: ERP results for the data-driven electrode selection. JASP_AAN4_amps_data_driven.html: Bayesian analyses for the data-driven electrode selection. https://creativecommons.org/licenses/by/4.0/ Stockholm University Stockholms universitet 2019-06-16T00:00:00Z