Discover datasets

This dataset contains intracranial EEG recordings from four epilepsy patients undergoing single pulse electrical stimulation, collected to develop and validate CARLA, an adjusted common average referencing method for cortico-cortical evoked potential (CCEP) analysis. The data were recorded at Mayo Clinic and support methodological research on referencing schemes for intracranial stimulation-response data. This release includes raw data sufficient to reproduce most published results, with some data censored pending future publications.

Participants

4

Citations

14

Size

1.53 GB

Version

v1.0.0

Updated

Aug 19, 2026

…The bipolar recordings are referenced according to a paired scheme indicated by…

Participants

280

Citations

2

Size

576 GB

Version

v1.0.0

Updated

Aug 19, 2026

Beetl2021-B is a preprocessed EEG dataset from the NeurIPS 2021 BEETL competition, focused on transfer learning for motor imagery decoding. It contains 32-channel EEG recordings from 2 healthy subjects performing a 4-class motor imagery task (left hand, right hand, feet, rest) sampled at 200 Hz. The dataset is designed to benchmark transfer learning and domain adaptation algorithms addressing cross-subject and cross-dataset generalization challenges in brain-computer interfaces.

Participants

2

Channels

32 (10-10)

Citations

2

HED

v8.4.0

Size

1.99 GB

Version

v1.0.5

Updated

Aug 20, 2026

…https://gitlab.com/lkandemir/dbs-artefact-rejection. -------------- CTF Phantom Measurement Stimulation reference…

Participants

2

Citations

36

Size

20.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

Beetl2021-A is a preprocessed motor imagery EEG dataset derived from the BEETL Competition 2021 (NeurIPS Task 2), comprising 63-channel, 500 Hz recordings from healthy subjects performing a four-class motor imagery task (rest, left hand, right hand, feet) during an online BCI racing game (Cybathlon2020IC). The dataset was designed to benchmark transfer learning and domain adaptation methods for subject-independent, cross-dataset EEG-based brain-computer interfacing.

Participants

3

Channels

63 (10-10)

Citations

2

HED

v8.4.0

Size

2.17 GB

Version

v1.0.6

Updated

Aug 20, 2026

…The bipolar recordings are referenced according to a paired scheme indicated by…

Participants

49

Size

97.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises EEG recordings collected from participants across multiple groups, assessed at pre- and post-intervention timepoints. It was designed to investigate changes in neural activity associated with an intervention, organized following the BIDS specification for interoperability. The dataset supports analyses such as EEG signal processing, functional connectivity, and pre/post comparisons.

Participants

67

Channels

19 (10-20)

Size

686 MB

Version

v1.0.0

Updated

Aug 18, 2026

…The bipolar recordings are referenced according to a paired scheme indicated by…

Participants

72

Size

167 GB

Version

v1.0.0

Updated

Aug 19, 2026

The Dataset on Emotion with Naturalistic Stimuli (DENS) comprises multimodal physiological recordings from 40 participants exposed to emotionally evocative video stimuli. The dataset includes concurrent EEG, ECG, and EMG measurements alongside behavioral self-assessment ratings across multiple emotion dimensions (valence, arousal, dominance, liking, familiarity, relevance, and emotion category). This resource supports research on emotion recognition, affective neuroscience, and the neural correlates of emotional responses to naturalistic, contextually-rich stimuli.

Participants

40

Channels

128

Citations

4

Size

4.46 GB

Version

v1.0.0

Updated

Jul 10, 2026

…The bipolar recordings are referenced according to a paired scheme indicated by…

Participants

258

Citations

1

Size

477 GB

Version

v1.0.0

Updated

Jul 10, 2026