…Wolff & Brechmann, Cerebral Cortex, 2023) because of the copyright policy of OpenNeuro…
Preprocessed 64-channel EEG recordings from six healthy participants performing imagined speech of a short word ('in') versus a long word ('cooperate'). The data were band-pass and notch filtered and cleaned of EOG artifacts. They were used to classify imagined speech with Riemannian manifold covariance features and relevance vector machines for brain-computer interface applications. The dataset is re-hosted in BIDS format through the MOABB benchmark collection.
…Balanced corpus of contemporary written Japanese. Language Resources and Evaluation, 48, 345…
EEG dataset investigating the neural representation of consciously seen and unseen information. The recordings were collected by Rodríguez-San Esteban, Chica, and González-López and are shared in BIDS format. The dataset is mirrored on NEMAR from OpenNeuro (ds005273).
…Task included in Matlab programming language. Data collected from 2019-2021 in…
Preprocessed 64-channel EEG recordings from 6 healthy participants performing imagined speech of three short words (out, in, up), cued by auditory and visual stimuli. The dataset contains 1800 trials of a single session, analyzed in the source study with Riemannian manifold covariance features and relevance vector machines for brain-computer interface applications. It is re-hosted in BIDS format from the MOABB benchmark collection.
…Task included in Matlab programming language. Data collected from 2019-2021 in…
…Journal of Open Source Software 4: (1896). https://doi.org/10.21105…
…Task included in DMDX programming language. Data collected circa 2008-2010 in…
EEG dataset titled 'what_are_we_talking_about', authored by Boncz, Toth, and Winkler. It is a BIDS-formatted raw EEG dataset mirrored on NEMAR from OpenNeuro (ds004075). The README provides little detail on the experimental paradigm.