Behavior Research Method - OMEXP: validation data

In the article Streamlining Experiment Design in Cognitive Hearing Science using OpenSesame in Behavior Research Method, we introduce a set of features built on top of the opensource Opensesame platform to allow the rapid implementation of custom behavioural and cognitive hearing science tests.
Our integration includes seven new plugins, available in Github (https://github.com/elus-om/BRM_OMEXP) and as a python package (https://pypi.org/project/opensesame-plugin-omexp/):
- Audio Mixer and Calibration
- LSL start, LSL message and LSL stop
- Adaptive init and Adaptive next.
For clarity we refer to the OpenSesame platform enhanced with these plugins as the Oticon Medical Experiment Platform (OMEXP).

Audio Mixer and Calibration plugins allows to play infinite audio files (limited by the memory of the computer running OpenSesame) on an unlimited number of audio channels each set at a specific sound pressure level, with a specific timing. The LSL series of plugins allow the recording of synchronous input data streams from various devices, whereas the adaptive init and next plugins provides the implementation of an adaptive procedure.

In the above-mentioned manuscript, we exemplify the capabilities of the new plugins using the three-alternative forced choice (3-AFC) amplitude modulation detection test (AMDT), available in this folder as 3afc_am_experiment.osexp. 3-AFC AMDT implementation is shown step-by-step in the journal article.
This folder contains the validation data that have been recorded and used to provide the platform behaviour validation and the performance timing characterization of the new introduced plugins. The validation data include: (i) xdf files, containing the lab streaming layer (LSL) recording, windows audio (coming from a closed-loop set up) and marker streams, (ii) csv files, that contains the experiment data.