{
    "Name": "THINGS-EEG2: A large and rich EEG dataset for modeling human visual object recognition",
    "BIDSVersion": "1.9.0",
    "Version": "1.1.0",
    "DatasetType": "raw",
    "License": "CC-BY 4.0",
    "Authors": [
        "Alessandro T. Gifford",
        "Kshitij Dwivedi",
        "Gemma Roig",
        "Radoslaw M. Cichy"
    ],
    "Acknowledgements": "We thank all 10 participants and the Cichy and Roig labs at Freie Universit\u00e4t Berlin and Goethe University Frankfurt.",
    "HowToAcknowledge": "Please cite: Gifford, A.T., Dwivedi, K., Roig, G., & Cichy, R.M. (2022). A large and rich EEG dataset for modeling human visual object recognition. NeuroImage, 264, 119754. https://doi.org/10.1016/j.neuroimage.2022.119754",
    "Funding": [
        "German Research Council (DFG) grants CI 241/1-1, CI 241/3-1, CI 241/1-7",
        "European Research Council (ERC) Starting Grant ERC-2018-StG 803370",
        "Hessian Ministry of Higher Education, Research, Science and the Arts (HMWK)"
    ],
    "DatasetDOI": "10.82901/nemar.nm000232",
    "ReferencesAndLinks": [
        "https://osf.io/3jk45/",
        "https://doi.org/10.1016/j.neuroimage.2022.119754",
        "https://github.com/gifale95/eeg_encoding"
    ],
    "SourceDatasets": [
        {
            "URL": "https://osf.io/3jk45/"
        },
        {
            "DOI": "doi:10.17605/OSF.IO/3JK45"
        }
    ],
    "GeneratedBy": [
        {
            "Name": "convert_thingseeg2.py (EEGDash)",
            "Description": "Converted from the THINGS-EEG2 Source EEG component (original BrainVision files + behavioural .mat) to BIDS-EEG. Source files preserved in /sourcedata/. Authors' preprocessed data preserved in /derivatives/preprocessed_eeg/ and /derivatives/resting_state/. Image stimuli stored in /stimuli/.",
            "CodeURL": "https://github.com/bruaristimunha/EEGDash"
        }
    ],
    "HEDVersion": "8.2.0"
}