{ "Name": "Dreyer et al. 2023 — A large EEG database with users' profile information for motor imagery brain-computer interface research", "BIDSVersion": "1.9.0", "HEDVersion": "8.4.0", "DatasetType": "derivative", "License": "CC-BY-4.0", "Authors": [ "Pauline Dreyer", "Aline Roc", "Léa Pillette", "Sébastien Rimbert", "Fabien Lotte" ], "Funding": [ "European Research Council (ERC Starting Grant project BrainConquest, grant ERC-2016-STG-714567)" ], "EthicsApprovals": [ "Inria's ethics committee, the COERLE (Approval number: 2018-13)" ], "ReferencesAndLinks": [ "https://doi.org/10.5281/zenodo.8089820", "10.1038/s41597-023-02445-z" ], "GeneratedBy": [ { "CodeURL": "https://github.com/NeuroTechX/moabb", "Name": "moabb", "Description": "Mother of All BCI Benchmarks", "Version": "1.5.0" } ], "SourceDatasets": [ { "DOI": "10.1038/s41597-023-02445-z", "URL": "https://doi.org/10.5281/zenodo.8089820" } ], "Keywords": [ "motor imagery", "brain-computer interface", "EEG", "BCI illiteracy", "user training", "personality profile", "cognitive traits", "user profile" ], "PublicationYear": 2023, "Version": "1.0.4", "DatasetDOI": "10.82901/nemar.nm000250" }