The visual gamma response to faces reflects the presence of sensory evidence and not awareness of the stimulus

The accompanying data is the data for the study: Perry, G. (2016) 'The visual gamma response to faces reflects the presence of sensory evidence and not awareness of the stimulus', Royal Society Open Science. For methods used to collect the data see that publication. Behavioural data: threshold_data.csv - Data from the session in which individuals' psychmetric functions for face detection were acquired. Column 1 contains partcipant number. Colums 2-10 contain response rates to each level of phase scrambling (w). Data in each cell corresponds to the proprtion of times the participant responded that they saw face for the corresponding value of w. From the resulting function fits the values of w required for each participant to identify the face 0.5% (subthreshold), 50% (threshold) and 99.5% (suprathreshold) were derived and these are given in colums 11-13. response_data.csv - Response data from the MEG session. Column 1 contains partcipant number. Colums 2-7 give total number of trials that partcipants reported seeing ('seen') or not seeing ('unseen') a face in each of the three conditions. Colums 8-9 give the number of trials in each of the analysed sub-conditions ('subthreshold unseen', 'threshold unseen', 'threshold seen', 'suprathreshold seen') after trial exclusions. MEG data: virtual_sensor_coordinates.csv - Coordinates in Talairach space for the locations used for virtual sensor analysis (as well as group mean and standard deviation). Dashed cells correspond to individuals for which no location was found. gamma_amplitude.csv - Gamma amplitudes used in the main t-test analyses. Column 1 contains partcipant number. Columns 2-9 contains mean gamma amplitude for each participant by sub-condition and hemisphere. virtual_sensor_participant_x_y_z.csv contains the virtual sensor timeseries for participant x from trials in sub-condition y from hemsiphere z. Column one gives time (in ms relative to stimulus onset). Subsequenct columns give the virtual sensor data for each trial (trials containing artefacts have been removed). tf_participant_x_y_z.csv contains the time-frequency data for participant x from sub-condition y from hemsiphere z. Column 1 gives time relative to stimulus onset (in ms), row 1 gives frequency (in Hz), other columns/rows give data at the corresponding time and frequency as % amplitude relative to baseline.