Discover datasets

This dataset contains independent 3-second single-channel intracranial EEG (stereo-EEG) clips from St. Anne's University Hospital (FNUSA), annotated for classification of physiological and pathological graphoelements and artifactual signals. It is a BIDS conversion of the segmented .mat archives released with Nejedly et al. 2020. Clips from one subject and one SEEG contact are concatenated per run at 5000 Hz, with events preserving labels, anatomy, reviewer, seizure onset zone flag, and electrode type.

Participants

14

Size

10.8 GB

Version

v1.0.2

Updated

Jun 29, 2026

EEG dataset from a visual working memory experiment (Experiment 2) examining whether memory reactivation levels are affected by anticipated interference. Participants memorized 2 or 6 lateral objects, then performed either a dual task with distractors or a single fixation-only task during the delay, before selecting the cued object in a probe display. The data have been preprocessed; the preprocessing steps are described in the associated preprint and OSF repository (Experiment 2).

Participants

56

Channels

30 (10-10)

Size

40.1 GB

Version

v1.0.0

Updated

Jun 28, 2026

Processed resting-state stereoelectroencephalography (SEEG) recordings from 79 patients with drug-resistant epilepsy evaluated at Vanderbilt University Medical Center. Each patient contributed a five-minute awake, eyes-closed interictal recording, stored as filtered bipolar-montage signals with Desikan-Killiany region labels and region-level seizure onset zone (SOZ) annotations. The data accompany a deep learning study that classifies SOZ versus non-SOZ brain regions from brief interictal recordings.

Participants

79

Size

16.5 GB

Version

v1.0.0

Updated

Oct 8, 2026

This dataset contains behavioral events and intracranial EEG recordings from epilepsy patients performing a spatial navigation memory task. Participants encoded object locations during guided navigation and later recalled them by self-navigating. Open-loop electrical stimulation was delivered to hippocampal and entorhinal electrodes during encoding on alternating, difficulty-matched trials, with no stimulation at retrieval.

Participants

22

Size

69.7 GB

Version

v1.0.0

Updated

Jun 27, 2026

This dataset contains simultaneously recorded scalp EEG and intracranial EEG (depth electrodes) from fifteen epilepsy patients undergoing intracranial monitoring while performing a modified Sternberg verbal working memory task. Encoding, maintenance, and recall are temporally separated. It includes electrode MNI coordinates with anatomical labels, trial-level behavioral information, and LCMV beamforming-reconstructed virtual sensor data for several cortical regions. The data support studies of working memory, connectivity, and replay of memory items.

Participants

15

Channels

19 (10-20)

Citations

47

Size

11.9 GB

Version

v1.0.0

Updated

Jun 25, 2026

Human EEG recordings from 20 participants viewing rapid sequences of overlaid oriented grating pairs while detecting a target grating of a specific orientation. Feature-based attention was manipulated by cueing one of two gratings by colour, and temporal expectation was manipulated by making stimulus onset timing predictable or unpredictable. The dataset supports investigation of the time-course of attention effects dissociated from temporal expectation and target-related processes.

Participants

20

Citations

44

Size

30.4 GB

Version

v1.0.0

Updated

Jun 23, 2026

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

Continuous 64-channel scalp EEG from 12 observers performing a visual dimension-based attention (cue) task, originally reported by Gramann, Töllner and Müller (2010). The recordings, 56-66 minutes each, include ICA decomposition weights and expert-annotated independent component labels. The dataset was later used to study automatic multi-class labeling of ICA components and is known as the "Cue" dataset.

Participants

12

Channels

64 (10-10)

Citations

32

Size

5.63 GB

Version

v1.0.0

Updated

Jun 29, 2026

EEG dataset from 53 participants (N=39 used for stimulus-locked ERP analyses) performing a bilateral change-detection task to study how perceptual grouping by color repetition affects visual working memory (VWM). The design isolates neural correlates of individuation encoding, maintenance, initial comparison, percept-memory comparison, and late decision-making using the N2pc, CDA, N2, and FN400 ERP components. Conditions varied the number of items, color repetition, and spatial proximity of repeated items.

Participants

53

Channels

64 (10-10)

Size

269 GB

Version

v1.0.0

Updated

Jun 29, 2026