An EEG Dataset of Subject Pairs during Collaboration and Competition Tasks in Face-to-Face and Online Modalities
Abstract
:1. Summary
2. Data Description
2.1. Participants
- Presented or had presented any mental disability.
- Had been diagnosed with a neurological disorder, such as autism, Parkinson’s, cerebral palsy, and/or attention deficit disorder.
- Were currently under any type of medication.
2.2. EEG Recordings and Structure
- ALAS: acronym stands for Advanced Learner Assistance System.
- Recording01: Tasks performed in the face-to-face modality (first EEG recording of the experiment).
- Recording02: Tasks performed in the online modality (second EEG recording of the experiment).
- P01: Female subject.
- P02: Male subject.
- Dyad0X: Data collected for different dyads.
- Task0X: Data collected for different tasks.
- Eyes Open.
- Eyes Closed.
- Puzzle (collaborative task).
- Domino (competitive task).
- _suffix: Type of data.
3. Methods
3.1. Instrumentation and Data Collection
3.2. Experimental Protocol
3.3. Assessment of Data Quality
3.4. Data Synchronization
Algorithm 1: Simplified explanation of the operation of the algorithm implemented for synchronized acquisition of EEG data from two different Enophone devices |
3.5. Suggested Data Analysis
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Fields | Description |
---|---|
EEG.setname | Name defined for the dataset. |
EEG.filename | Name defined for the file. |
EEG.subject | Subject ID according to the nomenclature (P01, P02). |
EEG.group | Dyad ID according to the nomenclature (Dyad01–Dyad08). |
EEG.condition | Recording ID according to the nomenclature (Recording01, Recording02). |
EEG.session | Task ID according to the nomenclature (Task01–Task04). |
EEG.nbchan | Scalar value indicating number of channels used in EEG acquisition. |
EEG.trials | Number of times the experiment was performed. |
EEG.pnts | Scalar value indicating the length of each EEG signal acquired by each channel. |
EEG.srate | Scalar value indicating the sample rate of the Enophones (250 Hz). |
EEG.xmin | Scalar value indicating the sample start time of the data recording. |
EEG.xmax | Scalar value indicating the sample end time of the data recording. |
EEG.times | 1 × N vector containing UNIX timestamps in seconds at each time point N for EEG data. |
EEG.data | 4 × N matrix containing EEG data vector (channels) at each time point N (units: microvolts). |
EEG.chanlocs | 1 × N structure containing the spatial location of each channel N according to the international 10–20 system. |
EEG.ref | Channel referencing to the common average |
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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Hernández-Mustieles, M.A.; Lima-Carmona, Y.E.; Mendoza-Armenta, A.A.; Hernandez-Machain, X.; Garza-Vélez, D.A.; Carrillo-Márquez, A.; Rodríguez-Alvarado, D.C.; Lozoya-Santos, J.d.J.; Ramírez-Moreno, M.A. An EEG Dataset of Subject Pairs during Collaboration and Competition Tasks in Face-to-Face and Online Modalities. Data 2024, 9, 47. https://doi.org/10.3390/data9040047
Hernández-Mustieles MA, Lima-Carmona YE, Mendoza-Armenta AA, Hernandez-Machain X, Garza-Vélez DA, Carrillo-Márquez A, Rodríguez-Alvarado DC, Lozoya-Santos JdJ, Ramírez-Moreno MA. An EEG Dataset of Subject Pairs during Collaboration and Competition Tasks in Face-to-Face and Online Modalities. Data. 2024; 9(4):47. https://doi.org/10.3390/data9040047
Chicago/Turabian StyleHernández-Mustieles, María A., Yoshua E. Lima-Carmona, Axel A. Mendoza-Armenta, Ximena Hernandez-Machain, Diego A. Garza-Vélez, Aranza Carrillo-Márquez, Diana C. Rodríguez-Alvarado, Jorge de J. Lozoya-Santos, and Mauricio A. Ramírez-Moreno. 2024. "An EEG Dataset of Subject Pairs during Collaboration and Competition Tasks in Face-to-Face and Online Modalities" Data 9, no. 4: 47. https://doi.org/10.3390/data9040047