Delay Detection Thresholding Raw Data (also includes tapping data)

The data presented here are (details can be found in the paper):

• Keystroke-sound delay detection thresholds (using the pythonMLP output format)
• Anisochrony thresholds (using the pythonMLP output format)
• Synchronisation-continuation tapping The pythonMLP outputs are organised as follows. For each task, each participant and each block, two files are created. One file contains the metadata (FILENAME.metadata.txt) and the other file (FILENAME.txt) contains the full details of all trials in the block. For details about how this output is created, please refer to the pythonMLP package ( github.com/florisvanvugt/PythonMLP ). In brief, the trial listing of each block is organised as follows: PARTICIPANT TRIAL TYPE STIMULUS RESPONSE B9-activeagency-2 0 mlp 600.000000 1 B9-activeagency-2 1 mlp 173.411931 1 B9-activeagency-2 2 mlp -3.890364 0 B9-activeagency-2 3 mlp 90.998540 1 B9-activeagency-2 4 mlp 48.928423 0 B9-activeagency-2 5 catch 0.000000 0 [...] Each line corresponds to one trial. - "PARTICIPANT" lists the participant number, a dash, the task (delay detection is referred to as "activeagency" for historical reasons), another dash, and the block number (from 1 to 3). - "TYPE" corresponds to the trial type: catch trials (with zero stimulus level) or mlp trials (in which the stimulus level is determined by the MLP algorithm). - "STIMULUS" lists the stimulus level (amount of delay in msec between keystroke and sound in the delay detection task; and amount of lateness of the fourth tone in the anisochrony task). - "RESPONSE" encodes the participants' response. In the case of the delay detection, 0 stands for "immediate" and 1 stands for "delayed". In the case of the anisochrony test, 0 stands for "regular" and 1 stands for "irregular".