EmoEEG-MC: A Multi-Context Emotional EEG Dataset for Cross-Context Emotion Decoding
…Missing 2 imagery trials (Trials 20 and 21). - **sub57**: Missing 4 imagery…
- Participants
- 60
- Channels
- 64
- Size
- 70.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "motor imagery classification" · page 8 of 10 · ranked by relevance
…Missing 2 imagery trials (Trials 20 and 21). - **sub57**: Missing 4 imagery…
…motor_imagery - **Imagery tasks**: left_hand, right_hand, feet - **Cue duration**: 1…
A multimodal neuroimaging dataset designed to investigate the spatiotemporal dynamics of visual processing in humans. The dataset combines multiple neuroimaging modalities—electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and structural MRI—to characterize neural responses during visual tasks. This comprehensive resource provides simultaneous EEG-fMRI recordings that enable investigation of the temporal and spatial organization of visual cortical processing, bridging the high temporal resolution of EEG with the high spatial resolution of fMRI.
…motor_imagery - **Imagery tasks**: left_hand, right_hand - **Cue duration**: 2.0…
HAD-MEEG is a multimodal neuroimaging dataset combining magnetoencephalography (MEG) and electroencephalography (EEG) recordings from 30 participants viewing 21,600 video clips across 180 human action categories. Designed to complement the previously released HAD-fMRI dataset, this resource leverages the millisecond-level temporal resolution of M/EEG to capture rapid neural dynamics underlying action recognition and social cognition, enabling comprehensive spatiotemporal investigation of the neural mechanisms supporting human action perception.
This dataset comprises magnetoencephalography (MEG) recordings from 23 participants viewing 40 validated emotional video stimuli, complemented by a large-scale behavioral survey (500 participants) and head digitization data. The dataset provides multi-faceted emotion annotations including Self-Assessment Manikin (SAM) ratings for valence and arousal, discrete emotion categories (PrEmo), and temporal scene selections, enabling investigation of emotion-specific neural signal patterns for brain signal-based emotion recognition research.
…The offline experiments consisted of recording participants´ EEG signals during motor imagery…
This dataset comprises electroencephalography (EEG) recordings from 13 participants performing semantic imagination and perception tasks across visual and auditory modalities. Participants were presented with stimuli from three semantically dissimilar categories (guitar, flower, penguin) in pictorial, orthographic, and auditory formats. The dataset includes raw, preprocessed, and epoched EEG data acquired using a 124-channel ANT-Neuro system, providing a resource for investigating neural correlates of semantic processing and cross-modal perception.
…motor_imagery - **Imagery tasks**: left_hand_finger_tapping, right_hand_finger_tapping…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004447-blue…