…https://www.hedtags.org/hed-schema-browser Target ├─ Sensory-event ├─ Experimental-stimulus…
…https://www.hedtags.org/hed-schema-browser Target ├─ Sensory-event ├─ Experimental-stimulus…
This dataset contains 128-channel EEG recordings acquired while participants produced one of five color words (green, magenta, orange, violet, yellow) under overt, minimally overt, and covert speech conditions. Each trial comprises five repetitions of the same word. Auxiliary channels (EOG, orbicularis oris EMG, microphone, display, trigger) support delineating neural versus non-neural contributions to EEG-based speech decoding. Sessions include calibration data for decoder training and online real-time decoding.
…https://www.hedtags.org/hed-schema-browser Target ├─ Sensory-event ├─ Experimental-stimulus…
…https://www.hedtags.org/hed-schema-browser Target ├─ Sensory-event ├─ Experimental-stimulus…
EEG dataset of a visual oddball (P300) task from the PURSUE project, collected in 2017 and 2018 from participants at three primarily undergraduate institutions in Southern California, Massachusetts, and Virginia. The task design follows the ERP CORE paradigm, and the dataset includes participant demographic information such as race.
…https://www.hedtags.org/hed-schema-browser ``` Target ├─ Sensory-event ├─ Experimental-stimulus…
The MNE-Sample-Data dataset is a simultaneous MEG and 60-channel EEG recording with an accompanying structural MRI, distributed with the MNE software. Checkerboard patterns were presented to the left and right visual fields, interleaved with tones to the left or right ear, and the subject responded to occasional smiley faces. It serves as a standard example dataset for demonstrating MEG/EEG analysis workflows, and FreeSurfer-derived anatomical surfaces are included.
…https://www.hedtags.org/hed-schema-browser Target ├─ Sensory-event ├─ Experimental-stimulus…
EEG dataset from the PURSUE project containing an N400 word processing task, recorded from participants at three primarily undergraduate institutions (Southern California, Massachusetts, and Virginia) in 2017 and 2018. The task design follows the ERP CORE paradigm. The dataset supports event-related potential research on semantic word processing.