Discover datasets

This dataset comprises magnetoencephalography (MEG) recordings from participants performing the cued Alternating Serial Reaction Time (ASRT) task, a visuo-motor paradigm requiring rapid responses to directional arrow cues. The ASRT task is designed to investigate implicit learning of sequential regularities embedded within pseudo-random stimulus sequences. This dataset enables investigation of neural mechanisms underlying statistical learning.

Participants

15

Size

223 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises raw resting-state EEG recordings from healthy adults acquired using a 128-channel Biosemi ActiveTwo system at Universidad Autónoma de Madrid. Participants completed four consecutive 5-minute runs alternating between eyes-open and eyes-closed conditions within a single ~20-minute session. The dataset is organized by condition (eyes-open and eyes-closed) rather than by visit, with no preprocessing applied prior to sharing.

Participants

43

Channels

128 (biosemi)

Size

36 B

Version

v1.0.0

Updated

Jul 10, 2026

A practice dataset containing EEG recordings collected during a student neuroscience workshop. This dataset is intended for educational and training purposes only and is not suitable for scientific analysis or research applications.

Participants

4

Size

481 MB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings and concurrent audio data collected during speech production and auditory listening tasks. Participants performed overt speech vocalization, passive listening to prerecorded speech, and covert speech imagery tasks while EEG was recorded using three different acquisition systems (g.tec g.Pangolin, g.SCARABEO, and ANT Neuro eego sports). The dataset supports brain decoding research investigating the neural correlates of speech perception and production.

Participants

3

Channels

128 (other)

Size

1.54 TB

Version

v1.0.0

Updated

Jul 10, 2026

This longitudinal brain-machine interface study presents multimodal neurophysiological and kinematic data from seven healthy adults performing motor imagery tasks to control a lower-limb exoskeleton. The dataset comprises 60-channel EEG with EOG, dual inertial measurement units, and exoskeleton control signals collected across nine sessions per participant. Data include both open-loop calibration phases and closed-loop BMI control trials, providing a comprehensive resource for investigating neural correlates of motor imagery and human-machine interaction in ambulatory tasks.

Participants

7

Channels

60

Size

2.98 GB

Version

v1.0.0

Updated

Jul 10, 2026

A fully anonymized long-term intracranial EEG dataset from 40 patients with pharmacoresistant epilepsy recorded at the Sleep-Wake-Epilepsy-Center, University of Bern. The dataset comprises 5376 hours of continuous iEEG with 381 annotated electrographic seizures, sampled at 512 or 1024 Hz and preprocessed with band-pass filtering and median referencing. This resource supports development and validation of seizure detection and neuronal activity modeling algorithms.

Participants

40

Size

2.96 TB

Version

v1.0.0

Updated

Jul 10, 2026

A raw EEG neuroimaging dataset containing pre and post intervention measurements organized according to BIDS standards. The dataset includes electroencephalography recordings from multiple groups collected to assess intervention effects through longitudinal pre-post measurements. Data is suitable for comparative group-level analysis of changes across study phases. For detailed information about study design, methods, participant demographics, and data organization, please refer to the README.md file in the dataset root directory.

Participants

55

Channels

19 (10-20)

Size

619 MB

Version

v1.0.0

Updated

Jul 10, 2026

A BIDS-formatted neuroimaging dataset containing pre and post intervention EEG recordings from multiple subjects. This dataset provides raw EEG data suitable for comparative analysis of neural activity changes across baseline and post-intervention conditions. The dataset includes EEG recordings in .edf format with accompanying BIDS-compliant metadata documenting acquisition parameters, electrode configurations, sampling rates, and participant information. The intervention protocol and specific clinical or research context are documented in the accompanying dataset files.

Participants

55

Channels

19 (10-20)

Size

619 MB

Version

v1.0.0

Updated

Jul 10, 2026

The CrossModal Study investigates how the brain prepares for and discriminates targets across sensory modalities using concurrent frequency-tagged visual and auditory stimulation. Participants performed a target discrimination task with cues indicating whether targets would be visual (Gabor patches) or auditory (tones), followed by a 3-second preparation interval with frequency-tagged stimuli (36 Hz visual, 40 Hz auditory). The dataset includes MEG recordings, behavioral responses, and eye-tracking data from healthy control participants performing the task with and without cross-modal distractors.

Participants

27

Size

132 GB

Version

v1.0.0

Updated

Jul 10, 2026

MorseEEG-ATP is a multitask electroencephalography dataset comprising synchronously recorded EEG and behavioral data from 32 healthy adult participants performing auditory discrimination tasks using Morse code stimuli. The dataset addresses auditory temporal processing and temporal pattern discrimination across two tasks (dot-count and first-last match) and three presentation-rate conditions (15, 30, and 40 characters per minute). Raw 62-channel EEG recordings sampled at 600 Hz are provided alongside minimally preprocessed derivatives, trial-aligned event annotations, behavioral measures, and analysis scripts in BIDS-compatible format. Technical validation is provided through behavioral performance, event-related potential responses, and listening-related measures as described in the accompanying Scientific Data publication. Note: Data quality issues including corrupted channels for sub-13 (channel 56), sub-14 (channel 56), and sub-15 (channel 43) have been addressed through interpolation in the preprocessed derivatives.

Participants

32

Channels

62 (10-10)

Size

14.6 GB

Version

v1.0.0

Updated

Jul 10, 2026