遇见数据集

Pizza-topping meat/vegetarian word categorization with consumer EEG (EMOTIV EPOC X)

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OpenNeuro2026-07-04 更新2026-07-07 收录
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# Meat or vegetarian? An EEG and behavioural dataset from a colour-congruency food-word categorization task Consumer EEG (EMOTIV EPOC X, 14 channels, 128 Hz) from 30 participants during a meat/vegetarian categorization of pizza-topping words ("IS IT MEAT?"), preceded by a short eyes-open/eyes-closed resting baseline. ## Task Each trial presents a topping word. Participants press M for meat items and V for vegetarian/cheese items, and were instructed to prioritise accuracy over speed (the task was not speeded). Word ink colour is neutral (black), congruent, or incongruent with the item's category, in randomized blocks (colour-congruency manipulation). ## Released signal per participant - Fixed 20 s eyes-open + 20 s eyes-closed resting baseline, then the categorization block. - 14 EEG channels only (AF3 F7 F3 FC5 T7 P7 O1 O2 P8 T8 FC6 F4 F8 AF4). Device auxiliary channels dropped; per-channel mean contact quality preserved in channels.tsv. - Recording timestamps removed (neutral placeholder date in EDF headers). All recordings released at 128 Hz. ## Events onset/duration/trial_type plus stimulus fields (stim_name, stim_id, stim_category, stim_class) and response fields (response, response_key, response_time, accuracy). Responses derive from the key CODE pressed (M=77 meat, V=86 vegetarian). See task-foodword_events.json. ## Notes for reuse - Behavioral accuracy is moderated by self-rated English proficiency (English word stimuli); english_level_1to7 is provided as a covariate. Per-participant mean accuracy ranges 0.50-0.98.

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2026-07-04
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