Discover datasets

This dataset comprises resting-state EEG recordings from 173 individuals, including 86 healthy close contacts and 87 COVID-19 survivors, collected at the Cuban Neuroscience Center. The dataset was designed to characterize EEG signatures associated with COVID-19 survival and to compare them with a Cuban EEG normative database. Recordings were obtained using a standard 10-20 montage under resting conditions with eyes closed and alternating eyes open/closed periods.

Participants

173

Channels

21 (10-20)

Citations

1

Size

1.10 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains EEG recordings and hedonic (liking) ratings collected from participants exposed to sonic-seasoning soundscapes (jungle and deconstruct), alongside eyes-open and eyes-closed resting calibration baselines. Data were recorded with EPOC X consumer-grade EEG hardware and include behavioral survey responses and stimulus audio files. The dataset supports research on crossmodal sensory perception and the influence of auditory soundscapes on hedonic evaluation.

Participants

30

Channels

14 (10-10)

Size

23.4 MB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains EEG recordings collected during an EEG Workshop organized by the Student Network for Neuroscience. It is intended exclusively for practice and training purposes and is not suitable for scientific analysis.

Participants

4

Size

481 MB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset comprises EEG and synchronized audio recordings collected for brain-based speech decoding research. It includes overt speech production, auditory listening, and covert speech imagery tasks recorded with multiple EEG acquisition systems (g.tec g.Pangolin, g.tec g.SCARABEO, ANT Neuro eego sports). The dataset supports research on neural correlates of speech production and perception, and brain-computer interface decoding of speech from EEG signals.

Participants

3

Channels

128 (other)

Citations

3

Size

1.54 TB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains multimodal brain–machine interface (BMI) recordings from seven healthy adults who trained over nine longitudinal sessions to control a lower-limb exoskeleton via motor imagery. It includes 60-channel EEG, 4-channel EOG, dual IMU motion data, and exoskeleton control/feedback signals collected during open-loop calibration and closed-loop walk/stop trials. The dataset supports research on EEG-based decoding of motor imagery for neurorehabilitation and human-robot interaction applications.

Participants

7

Channels

60

Citations

2

Size

3.62 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains long-term pre-surgical intracranial EEG (iEEG) recordings from 40 patients with pharmacoresistant epilepsy, collected at the Sleep-Wake-Epilepsy-Center (SWEC), University of Bern, in collaboration with ETH Zurich. It comprises approximately 5376 hours of continuous iEEG recorded via strip, grid, and depth electrodes, with 381 annotated electrographic seizures marked by a board-certified epileptologist. The dataset is fully anonymized, with channel and electrode location information withheld to protect patient identity, and is structured in BIDS format for long-term monitoring analysis.

Participants

40

Citations

2

Size

2.96 TB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains neuroimaging data organized in BIDS format, comparing pre- and post-intervention groups. It is intended to support analyses of changes associated with an experimental intervention, providing raw data for reuse by the research community.

Participants

55

Channels

19 (10-20)

Size

626 MB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset comprises EEG recordings organized in BIDS format, collected from participants at pre- and post-intervention time points. It is intended to support analyses of intervention-related changes in brain activity across two experimental groups.

Participants

55

Channels

19 (10-20)

Size

626 MB

Version

v1.0.0

Updated

Aug 18, 2026

MorseEEG-ATP is a multitask EEG dataset for investigating auditory temporal processing and temporal pattern discrimination using Morse code stimuli. It contains synchronously recorded EEG and behavioral data from 32 healthy adults performing two auditory discrimination tasks (dot-count and first-last match) across three presentation-rate conditions (15, 30, and 40 characters per minute). The dataset, organized in BIDS format, includes raw and minimally preprocessed EEG data, trial-aligned event annotations, behavioral measures, and analysis scripts to support research on temporal pattern discrimination and listening ability assessment.

Participants

32

Channels

62 (10-10)

Size

14.6 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains EEG recordings from a crossmodal target-discrimination study investigating attentional preparation and alpha oscillations. Participants were cued to attend to auditory, visual, or non-specific targets, with frequency-tagged stimuli (36 Hz visual, 40 Hz auditory) presented during a preparatory interval preceding target onset. The study examines how cross-modal attention and target expectation modulate neural oscillatory activity and behavioral performance.

Participants

22

Channels

63 (10-10)

Citations

3

Size

7.18 GB

Version

v1.0.0

Updated

Aug 18, 2026