Discover datasets

This dataset comprises resting-state EEG recordings from 103 normal infants during the first year of life, including 130 recordings distributed across up to four sessions per subject. It was collected to characterize normative developmental EEG patterns and supports research on brain maturation, synaptogenesis, and myelination in early infancy.

Participants

103

Channels

21 (10-20)

Citations

26

Size

653 MB

Version

v1.0.0

Updated

Aug 19, 2026

Imported from OpenNeuro ds007175

Participants

1

Channels

64 (10-10)

Size

226 GB

Version

v1.0.0

Updated

Jul 10, 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 comprises EEG and EMG recordings with expert-annotated sleep scores from 92 healthy mice, collected across five research laboratories in Italy, Denmark, Switzerland, and France. Recordings span both dark and light phases and were standardized to 128Hz sampling with SI units, aiming to validate automated mouse sleep staging methods. The dataset is formatted in BIDS and stored in EDF format.

Participants

92

Channels

1

Citations

1

Size

6.08 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises 32-channel EEG recordings collected during a sham neurofeedback experiment conducted in a virtual reality environment. Participants underwent four conditions—positive feedback, negative feedback, control, and resting-state (eyes open/closed)—designed to examine how feedback valence influences alpha-band activity during an attentional task. The data were originally recorded in NeuroScan .cnt format and converted to BIDS using MNE-BIDS.

Participants

36

Channels

29 (10-10)

Size

10.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises repeated-awakening EEG recordings collected during propofol sedation, designed to explore dream experiences and consciousness dynamics under anesthesia. EEG data were acquired across wakefulness (eyes open/closed) and multiple sedation and awakening conditions, including sessions with transcranial magnetic stimulation. The study aims to evaluate whether EEG complexity measures can capture subjective dream reports elicited through repeated awakenings during propofol-induced sedation.

Participants

21

Channels

65 (10-10)

Citations

23

Size

77.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

Imported from OpenNeuro ds003380

Participants

12

Size

1.43 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains EEG recordings from 20 healthy participants performing a 7-day longitudinal motor imagery brain-computer interface (BCI) task without feedback. Each subject completed 7 sessions of 6 runs, imagining left hand, right hand, feet, and rest movements, yielding 33,600 trials in total. The dataset was converted to BIDS format from the original study by Zhou et al. (2021) examining the relationship between relative power and motor imagery decoding performance across time and subjects.

Participants

20

Channels

41 (other)

Citations

15

HED

v8.4.0

Size

93.1 GB

Version

v1.0.3

Updated

Aug 20, 2026

This dataset contains EEG recordings from a collaborative brain-computer interface (BCI) study using rapid serial visual presentation (RSVP) for target image detection. Fourteen healthy subjects, organized into seven pairs, performed synchronized RSVP tasks distinguishing human from non-human images, generating p300-like event-related potentials. The dataset is a BIDS-formatted derivative converted using the MOABB toolbox from the original data by Zheng et al. (2020).

Participants

14

Channels

62 (10-10)

Citations

27

HED

v8.4.0

Size

11.9 GB

Version

v1.0.3

Updated

Aug 21, 2026

This dataset comprises resting-state EEG recordings from individuals with first-episode psychosis (FEP) and healthy controls, collected using a 60-channel 10-10 system montage. This is the first of two independently collected samples, containing 5-minute resting EEG recordings acquired with an Elekta Neuromag Vectorview system, accompanied by comprehensive clinical assessments including psychiatric rating scales, cognitive batteries, and socioeconomic measures. This resource enables investigation of cortical network abnormalities and neurophysiological markers associated with early psychotic illness.

Participants

82

Channels

61 (10-10)

Citations

13

Size

6.15 GB

Version

v1.0.0

Updated

Jul 10, 2026