{
    "Name": "EEG data offline and online during motor imagery for standing and sitting",
    "ReferencesAndLinks": [
        "Triana-Guzman N, Orjuela-Cañon AD, Jutinico AL, Mendoza-Montoya O and Antelis JM (2022) Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface. Front. Neuroinform. 16:961089. https://doi.org/10.3389/fninf.2022.961089"
    ],
    "BIDSVersion": "1.8.0",
    "HEDVersion": "8.1.0",
    "License": "CC0",
    "Authors": [
        "Nayid Triana-Guzman",
        "Alvaro D Orjuela-Cañon",
        "Andres L Jutinico",
        "Omar Mendoza-Montoya",
        "Javier M Antelis"
    ],
    "DatasetDOI": "doi:10.18112/openneuro.ds005342.v1.0.3",
    "HowToAcknowledge": "Triana-Guzman N, Orjuela-Cañon AD, Jutinico AL, Mendoza-Montoya O and Antelis JM (2024). EEG data offline and online during motor imagery for standing and sitting. OpenNeuro Dataset ds005342. doi: doi:10.18112/openneuro.ds005342.v1.0.3",
    "GeneratedBy": [
        {
            "Name": "bids-matlab-tools",
            "Version": "8.0"
        }
    ],
    "Acknowledgements": "We would like to thank the Ministerio de Ciencia, Tecnología e Innovación of Colombia-Minciencias/Colciencias, Universidad Antonio Nariño (UAN), Universidad del Rosario, and Tecnologico de Monterrey for all their support in the development of this dataset",
    "Funding": [
        "This research was funded by Ministerio de Ciencia, Tecnología e Innovación of Colombia-Minciencias/Colciencias, contract 594-2019, project 80740-594-2019, and in part by the University of Illinois Chicago and Tecnologico de Monterrey (UIC-TEC) Seed funding Program 2021-2022"
    ],
    "EthicsApprovals": [
        "The experimental protocol was approved by the ethics committee of the Universidad Antonio Nariño"
    ]
}