The "Neurotypical" folder contains the data for neurotypical individuals of the decision making task (in the "Decision making task" folder), the Eriksen flanker task (in the "Eriksen flanker task" folder), and the Stop signal task (in the "Stop signal task" folder). The "PD" folder contains the data for Parkinson's disease (PD) patients of the decision making task (in the "Decision making task" folder), the Eriksen flanker task (in the "Eriksen flanker task" folder), and the Stop signal task (in the "Stop signal task" folder). For each .mat file of the decision making task (applies to both neurotypical individuals and PD patients, each .mat file is the data for one participant), the "joystickdataChoice" variable contains 104 cell arrays, each contains data from one single trial. In each array, the first column shows the time (from trial onset), The second column shows the axis value of the joystick. The "choice_data" variable is a dataset which includes the type of each trial (cued/instructed vs. choice), movement direction of each trial (left vs. right) , whether a trial is completed (1 for yes and 0 for no), etc. For each .mat file of the Eriksen flanker task (applies to both neurotypical individuals and PD patients, each .mat file is the data for one participant), the "joystickdataFlanker" variable contains 104 cell arrays, each contains data from one single trial. In each array, the first column shows the time (from trial onset), the second column shows the axis value of the joystick. The "flanker_data" variable is a dataset which includes the type of each trial (congruent vs. incongruent), movement direction of each trial (left vs. right), whether a trial is completed (1 for yes and 0 for no) and correct (1 for yes and 0 for no), etc. For each .mat file of the Stop signal task, (applies to both neurotypical individuals and PD patients, each .mat file is the data for one participant), the "joystickdataFlanker" variable contains 180 cell arrays, each contains data from one single trial. In each array, the first column shows the time (from trial onset), the second column shows the axis value of the joystick. The "stop_data" variable is a dataset which includes the type of each trial (go vs. stop), movement direction of each trial (left vs. right), stop signal delay (SSD) in the stop trials, whether a trial is completed (1 for yes and 0 for no) and correct (1 for yes and 0 for no), etc.