Discover datasets

This dataset comprises intracranial EEG recordings and single-unit neuronal activity from the human amygdala of nine epilepsy patients during exposure to dynamic visual stimuli with aversive (fearful faces) and neutral (landscape) content. The recordings enable investigation of amygdalar responses to emotional stimuli across multiple spatial scales, from macroscopic field potentials to microscopic neuronal firing patterns. Data are provided in BIDS format with extended neuronal spike data available in NIX standard.

Participants

9

Citations

25

Size

297 MB

Version

v1.0.0

Updated

Jul 10, 2026

Participants

4

Channels

14 (10-10)

Citations

82

Size

152 MB

Version

v1.0.0

Updated

Jul 10, 2026

This derivative dataset contains processed MEG data from a study investigating the neural mechanisms of model-based aversive learning in humans. The research examines how task state representations are preferentially reactivated during aversive learning, providing insights into the computational and neural basis of threat-related decision-making and learning processes.

Participants

28

Size

302 GB

Version

v1.0.0

Updated

Jul 22, 2026

This dataset contains EEG and ECG recordings collected during guided imagery hypnotherapy sessions designed to promote eudaemonic well-being through storytelling and deep visualization. Recordings include a baseline resting-state EEG session and EEG/ECG data from three in-person hypnotherapy sessions, with event markers denoting phase transitions within each session. The dataset is derived from a source OpenNeuro dataset and formatted according to BIDS standards.

Participants

9

Channels

64 (10-10)

Citations

17

Size

4.31 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises synchronized electroencephalographic (EEG), autonomic physiological, and behavioral recordings acquired during an emotional word association task. Participants performed a lexical task involving fear-related concepts, selecting or generating words in response to prompts while neural activity, autonomic responses (electrodermal activity, blood volume pulse, interbeat interval, and skin temperature), and behavioral events were recorded. The dataset includes 8-channel EEG data sampled at 250 Hz alongside physiological signals from an Empatica E4 wristband, with semantic similarity measures between consecutive word responses. This is the enriched version of OpenNeuro dataset ds007955 with additional analysis and documentation. Note: Physiological data for participant 7 are unavailable due to a data acquisition error with the Empatica E4 recording system; EEG and behavioral data remain available for this participant.

Participants

9

Channels

8 (10-20)

Citations

3

Size

26.4 MB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains EEG recordings from 100 healthy adult participants collected to investigate hemispheric asymmetries related to N1 lateralization and alpha asymmetry. Recordings include an eight-minute resting state period with alternating eyes-open and eyes-closed segments, followed by four lateralized go/no-go tasks (words, faces, emotions, houses) requiring hand-specific responses to target stimuli. The dataset supports research on lateralized cognitive and perceptual processing in the EEG.

Participants

100

Channels

32 (10-10)

Size

11.0 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises simultaneous EEG and fMRI recordings from 10 subjects performing motor imagery and neurofeedback tasks. Participants completed six runs including motor localization, pre- and post-neurofeedback motor imagery, and three neurofeedback conditions (bimodal EEG-fMRI, unimodal EEG, and unimodal fMRI). The dataset provides both raw and preprocessed EEG data (64 channels at 5 kHz), structural and functional MRI data (3T Siemens, 2×2×4 mm³ resolution), and computed neurofeedback scores, enabling multi-modal neuroimaging data integration studies.

Participants

10

Size

18.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

This EEG dataset comprises recordings from children performing letter discrimination and visual search tasks across three experimental stages: pre-intervention baseline, intervention measurement, and post-intervention assessment. Participants were assigned to intervention and control groups to evaluate the effects of embodied learning on literacy-related neural processing. The dataset includes event markers corresponding to stimulus presentations of letters 'b' and 'd', enabling analysis of neural responses to letter discrimination and visual search performance.

Participants

21

Channels

64 (10-10)

Size

36.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises longitudinal motor imagery EEG recordings from 18 BCI-naive subjects across six sessions (one offline, five online), designed to study transfer learning and skill acquisition in brain-computer interfaces (BCIs). It compares two domain adaptation frameworks—Generic Recentering and Personally Assisted Recentering—for calibration-free BCI training using left/right hand motor imagery with visual feedback. Data were collected at 512 Hz with 22 EEG channels and analyzed using Riemannian geometry-based classifiers.

Participants

18

Channels

22 (10-10)

Citations

49

HED

v8.4.0

Size

14.4 GB

Version

v1.0.4

Updated

Aug 20, 2026

NEMAR Dataset nm000105: discrete_gestures - Discrete hand gesture detection from EMG

Participants

100

Size

20.6 GB

Version

v2.0.0

Updated

Jul 10, 2026