This dataset, named DataSet2, is an EEG dataset originally deposited on OpenNeuro (ds002833) and mirrored on NEMAR. It was contributed by Mheich and colleagues. The available documentation gives no details on the experimental paradigm or participants.
…Simultaneous EEG and Eye-Tracking during Natural Reading Simultaneous 128-channel EEG…
High-density EEG (256 electrodes) recorded in 20 right-handed healthy volunteers in Rennes, France, across four conditions: eyes-open resting state, visual naming, auditory naming, and a working memory (picture recognition) task. The dataset supports studies of functional brain connectivity and network dynamics during cognitive tasks.
EEG recordings from nine end-users with central nervous system tissue damage (stroke or spinal cord injury) performing five cue-guided mental tasks: word association, mental subtraction, spatial navigation, right-hand motor imagery, and feet motor imagery. Data were recorded with 30 active EEG electrodes across two sessions per participant, on different days. The dataset supports brain-computer interface research on individually adapted imagery and binary classification of mental tasks.
…EEG and Eye-Tracking during Natural Reading and Annotation Simultaneous 128-channel…
This dataset contains 64-channel EEG recordings and behavioural ratings from four participants who read and evaluated 210 short English-language texts: Haiku, Senryu, and non-poetic control texts. Each text was rated on aesthetic appeal, vivid imagery, being moved, originality, and creativity. These participants' recordings were acquired in segments because of session interruptions and were concatenated during preprocessing. They are released as a companion to the main Poetry Assessment EEG Dataset 1 for completeness and transparency.
…Electrode positions are shown only as images in the README PDF (kept…
…If any of the target images was different from the ones previously…
…By using a natural story with high-fidelity, invasive neural recordings, this…
…nemar.on005383) # TMNRED Dataset - Chinese Natural Reading EEG for Fuzzy Semantic Target…