NOD-MEG
…these neural mechanisms of object recognition across these rich and daily natural…
- Participants
- 31
- Size
- 215 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
…these neural mechanisms of object recognition across these rich and daily natural…
A multi-session dataset of simultaneous EEG-fMRI recorded from 24 healthy adults aged 18-35 while they performed a gradual-onset continuous performance task (GradCPT) and a resting-state condition with intermittent multidimensional experience sampling. The same protocol was repeated on two days. Carbon wire loop sensors in the EEG cap support artifact removal. The dataset also includes ECG, behavioral responses, and mental health surveys. It supports study of attentional fluctuations, mind-wandering, and the test-retest reliability of EEG-fMRI relationships.
…these neural mechanisms of object recognition across these rich and daily natural…
Eye-tracking data from 27 participants who watched five educational videos in two sessions: an attentive condition, in which participants were tested afterward with multiple-choice questions, and a distracted condition, in which they silently counted backwards. The dataset includes gaze, pupil size, blinks, saccades and fixations, plus questionnaires with domain and memory questions. It is Experiment 1 of the Brain, Body, and Behavior Dataset (BBBD) and supports research on attention and learning from video.
…Center, Chicago) performing a scene recognition memory task with concurrent EyeLink eye…
…Avoidance of specific calibration sessions in motor intention recognition for exoskeleton-supported…
EEG recordings from 15 participants performing imagined speech of five commands ("Hello", "Help me", "Stop", "Thank you", "Yes"), released for the 2020 BCI Competition Track 3. The data are split into training, validation and test runs to support machine-learning decoding of imagined speech for brain-computer interfaces. The dataset was converted from the original MATLAB files to BIDS-compliant EDF with trial annotations.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005876-blue…
Raw 128-channel EEG data from 20 observers viewing object images in a rapid presentation paradigm, together with representational dissimilarity matrices. The dataset supports time-resolved neural decoding analyses that separate objects' contextual associations from their perceptual and conceptual attributes. One participant was excluded because of a technical recording error, leaving 19 usable participants.
…75.8% - **Correct Recognition Rate**: 63.2 - **Error Recognition Rate**: 75.8…