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Raw 64-channel EEG, electrocardiography, photoplethysmography, pupillometry and behavioral data from 86 participants during 4 minutes of eyes-closed rest and a digit span serial recall task. Participants memorized or passively listened to auditory digit sequences of 5, 9, or 13 items. The dataset supports work on cognitive load discrimination, event-related and oscillatory dynamics during encoding and maintenance, and links between working memory, central and peripheral physiology.

Participants

86

Channels

63 (10-10)

Citations

65

Size

253 GB

Version

v1.0.0

Updated

Jun 22, 2026

…skin conductance, and visual-scanning vectors (`VS_heights`, 1 value per second…

Participants

3

Size

9.30 GB

Version

v1.0.0

Updated

Oct 8, 2026

ODE is an EEG dataset formatted according to BIDS with HED annotations, contributed by Johnson, Gordon, Touryan, and King. The available documentation describes it only as a placeholder dataset, so no further details on content or purpose are provided.

Participants

1

Channels

64 (10-10)

HED

v8.1.0

Size

79.2 MB

Version

v1.0.0

Updated

May 13, 2026

Electroencephalography (EEG) recordings from experiment 2 of a study on how the brain prioritises task-relevant information during rapid serial visual presentation (RSVP). Participants viewed small objects overlaid on large letters, allowing neural dynamics of attended and unattended stimulus features to be compared. The dataset supports time-resolved decoding analyses of attention effects on visual object representations.

Participants

20

Citations

22

Size

25.3 GB

Version

v1.0.0

Updated

Jun 25, 2026

The Automatic Evoked Response Detection (ER-Detect) dataset contains intracranial EEG recordings collected during single-pulse electrical stimulation at the Mayo Clinic (Rochester, MN, USA) and the University Medical Center Utrecht (The Netherlands). It supports the development and evaluation of automated detection of stimulation-evoked cortico-cortical responses in epilepsy patients. The data are organized in BIDS format.

Participants

14

Size

30.2 GB

Version

v1.0.0

Updated

Jun 25, 2026

EEG recordings from experiment 1 of a study on how the brain prioritises task-relevant information. Participants viewed rapid serial visual presentation (RSVP) streams in which small letters were overlaid on large objects. The dataset supports analysis of the temporal dynamics of attention-dependent neural representations.

Participants

20

Citations

22

Size

23.3 GB

Version

v1.0.0

Updated

Jun 25, 2026

This dataset contains transcranial magnetic stimulation (TMS) combined with electroencephalography (EEG) recordings acquired to identify site- and stimulation-specific TMS-evoked potentials. It accompanies a study that applied a quantitative cosine similarity metric to distinguish TMS-evoked EEG responses across stimulation sites and conditions. The data are mirrored on NEMAR from OpenNeuro (ds001849).

Participants

20

Channels

30 (10-10)

Size

44.5 GB

Version

v1.0.0

Updated

Jun 20, 2026

A BIDS example dataset demonstrating annotation of intracranial EEG (iEEG) recordings with the HED schema library for SCORE (Standardized Computer-based Organized Reporting of EEG). It contains iEEG data from one subject recorded during clinical photic stimulation at Mayo Clinic. Events are annotated through an events.tsv column whose levels are defined as HED tags in the events.json sidecar, yielding machine-readable annotations validated with the BIDS and HED validators.

Participants

1

HED

vscore_2.0.0

Size

32.0 MB

Version

v1.0.0

Updated

Jun 28, 2026

Stereotactic EEG recordings of 78 seizures (44 spontaneous, 34 stimulation-induced) from 29 patients with drug-resistant epilepsy, recruited at the University of Pennsylvania and the Children's Hospital of Philadelphia. Three or five board-certified epileptologists independently annotated each seizure for onset time, onset channels, and channels seizing 10 seconds after onset. The BIDS-formatted data include electrode localizations, patient demographics, and clinical outcomes. They support benchmarking of automated seizure onset and spread detection against expert performance and comparison of spontaneous and stimulation-induced seizure networks.

Participants

29

Size

7.95 GB

Version

v1.0.0

Updated

Oct 8, 2026

This dataset supports brain signal-based emotion recognition. It combines magnetoencephalography (MEG) recordings from 23 participants who viewed 40 validated emotional video clips with a large-scale online behavioral survey of 500 respondents rating the same clips. Labels include Self-Assessment Manikin valence and arousal, discrete PrEmo emotion categories, and temporal highlight scene selections. Head digitization files with anatomical landmarks and HPI coil coordinates are provided for co-registration.

Participants

23

Size

88.8 GB

Version

v1.0.0

Updated

Jun 30, 2026