figshare
Browse

data_behavior

Version 2 2024-12-27, 14:15
Version 1 2024-12-26, 18:16
dataset
posted on 2024-12-27, 14:15 authored by phenomenafrom dataphenomenafrom data

Behavioral Data from humans performing an Attentional Deployment Task.

Data format: *.mat files (Matlab)

Data description:

Filename:

Each file corresponds to one session (one participant) of the task. All filenames have the form: "data_XX_yyyy_mm_dd_hh-min". The two letters after "data" correspond to a randomly created subject ID. Then it contains the date and time info (year, month, day, hour and minutes) of the session.

Inside, each file contains a single structure array called "BehavData", which has two fields: "vars" and "info". The latter contains metadata from the session (subject code name, gender, age, date, time start, time finish). The "vars" (variables) field contains the actual behavioral data. It has 7 fields:
"Picture_seq": matrix of dimensions pictures x trials x blocks containing the info of the picture sequences that were presented on each trial. Each trial consists of 5 pictures, and there are 5 types of pictures. Each entry consists of a 3-digit number. First digit correspond to the picture type (1 to 5), second and third digits are the file number within the folder of the corresponding picture type.

"Block_dumm": vector of trials, with each entry containing the block number to which the trial belongs.

"Stim_seq": vector of trials, with each entry containing the stimulus type (1 to 5) of each trial.

"RTintensity_seq": vector of trials, with each entry containing the response time that participants took when delivering intensity ratings (possible values: 0 to 2; units: seconds).

"ResponseIntensity_seq": vector of trials, with each entry containing the intensity rating assigned by the participant to a given trial (possible values: integers 1 to 9; units: rating scale)

"RTvalence_seq": same as RTintensity_seq but for valence ratings.
"ResponseValence_seq": same as ResponseIntensity_seq but for intensity ratings.


References:

Task design is based on the following publication (data does NOT come from it):

Jamie Ferri, Joseph Schmidt, Greg Hajcak, Turhan Canli (2013). Neural correlates of attentional deployment within unpleasant pictures. Neuroimage 15:70:268-77.

doi: 10.1016/j.neuroimage.2012.12.030.

History

Usage metrics

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC