Discover datasets

This dataset contains 64-channel EEG recordings and behavioural ratings from 4 participants who read and evaluated English-language poetic and non-poetic texts (Haiku, Senryu, and Control). It is a supplementary companion to Poetry Assessment EEG Dataset 1, including participants whose EEG data were acquired in segmented sessions and later concatenated, excluded from primary PSD analyses but retained for completeness. The study investigates neural and psychological correlates of aesthetic appreciation, emotional response, and creativity judgments in response to poetic language.

Participants

4

Channels

64 (10-10)

Size

4.29 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains simultaneous EEG and MEG recordings from twenty adult participants presented with harmonic complex sound (HCS) stimuli varying in frequency, in an auditory oddball paradigm. The study investigates pre-attentive pitch processing at both sensor and source levels, comparing EEG and MEG responses. Data acquisition was conducted at the MEG Centre, Timone Hospital, Marseille, France.

Participants

19

Citations

1

Size

11.2 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises simultaneous EEG and eye-tracking recordings from 21 participants performing a matrix-based brain-computer interface (BCI) typing task using a single-character-presentation paradigm. Data were collected at Northeastern University in 2023 using the BciPy software platform, including calibration and copy-spelling sessions with event markers for target and non-target stimuli. The dataset supports research on multimodal sensor fusion for EEG-based BCI typing systems.

Participants

21

Channels

19 (10-20)

Size

616 MB

Version

v1.0.0

Updated

Aug 19, 2026

This multimodal dataset contains fMRI and EEG data from 69 participants examining the role of REM sleep in the neural differentiation of hippocampal memory representations. Each participant completed three fMRI scan sessions and one EEG session, during which either nap-based sleep or quiet wakefulness data were recorded depending on experimental condition. The dataset supports investigation of how sleep-related neural processes contribute to memory consolidation and differentiation in the hippocampus.

Participants

69

Channels

64 (other)

Citations

2

Size

650 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains continuous 64-channel scalp EEG recordings from 12 right-handed subjects performing a visual attention task designed to examine dimension-based attentional modulation of early visual processing. The data include independent component analysis (ICA) decompositions with expert-annotated component labels, originally collected for a study on visual attention and later reused for research on automatic classification of independent components. The dataset was converted to BIDS format from the original recordings with permission from the original authors.

Participants

12

Channels

64 (10-10)

Citations

35

Size

5.63 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains raw EEG recordings collected under a social observation paradigm, organized according to the Brain Imaging Data Structure (BIDS) standard. It is intended to support research into neural correlates of social observation behavior. The dataset was exported using bids-matlab-tools and follows HED 8.1.0 annotation conventions.

Participants

47

Channels

64 (10-10)

Size

12.1 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises high-density electroencephalography (EEG) recordings acquired during a visual stimulation task from human participants. Data were collected in a single session and organized according to the EEG-BIDS specification, with raw recordings stored in BrainVision format. The dataset provides raw, unfiltered EEG signals suitable for subsequent offline preprocessing and analysis of visual evoked responses.

Participants

31

Channels

64

Citations

1

Size

17.6 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains resting-state EEG recordings collected using a 128-channel Amps 300 amplifier at the University of Oklahoma, alongside structural MRI scans acquired from the same participants. The data support investigation of whole-brain electrophysiological functional connectivity dynamics during resting-state conditions.

Participants

34

Channels

128 (other)

Size

3.00 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises intracranial EEG (iEEG) recordings from 23 patients undergoing stereo-EEG presurgical evaluation for drug-resistant epilepsy, capturing 41 instances of high-frequency cortical stimulation that evoked negative motor responses. Each recording includes pre- and post-stimulation epochs used for connectivity analysis, along with detailed stimulation parameters. The dataset supports research into the cortical networks underlying negative motor phenomena elicited by direct electrical stimulation.

Participants

21

Citations

1

Size

1.04 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises MEG, MRI, EMG, and eye-tracking data from 31 healthy right-handed adults performing a sequential finger tapping task (SFTT) to study early motor skill learning, overnight consolidation, and longer-term retention. Participants completed an initial MEG training session followed by up to two retest sessions approximately 24 hours and 30 days later, with resting-state MEG collected before and after each practice block. The dataset supports investigation of neural correlates of motor skill acquisition and memory consolidation.

Participants

31

Citations

3

Size

95.8 GB

Version

v1.0.0

Updated

Aug 19, 2026