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              <r:String>Stefan Wiens</r:String>
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        <r:String xml:lang="en">Open data: Effects of a Manual Response Requirement on Early and Late Correlates of Auditory Awareness</r:String>
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          <r:String xml:lang="sv">Stockholms universitet</r:String>
          <r:String xml:lang="en">Stockholm University</r:String>
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          <r:String xml:lang="sv">Stockholms universitet</r:String>
          <r:String xml:lang="en">Stockholm University</r:String>
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        <r:SimpleDate>2019-06-16</r:SimpleDate>
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      <r:Content xml:lang="en">Eklund, R., Gerdfeldter, B., &amp; 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.</r:Content>
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