Discover datasets

Resting-state EEG recorded from over 200 healthy young (20-35 years) and older (59-77 years) adults in the Leipzig Study for Mind-Body-Emotion Interactions (LEMON). Participants alternated between eyes-closed and eyes-open blocks of about 60 seconds over roughly 16 minutes. The data were recorded with a 62-channel active-electrode BrainVision system and restructured into BIDS-EEG layout.

Participants

215

Channels

61 (10-10)

Citations

72

Size

127 GB

Version

v1.0.0

Updated

Jun 1, 2026

EEG dataset accompanying the PLOS ONE article 'Comprehensive methodology for sample enrichment in EEG biomarker studies for Alzheimer's risk classification' (Henao Isaza, Aguillon, Tobón Quintero, Lopera, & Ochoa Gómez, 2026). The recordings support a methodology for enriching samples in biomarker studies that classify Alzheimer's disease risk from EEG features. Data are stored in BIDS format (BrainVision .vhdr/.eeg/.vmrk files with accompanying metadata) and released under a CC0 license.

Participants

44

Channels

58 (10-10)

Citations

1

Size

13.6 GB

Version

v1.0.0

Updated

Jun 30, 2026

Multichannel intracranial EEG (iEEG) recordings from 25 epilepsy patients during sleep, acquired at two medical centers (Tel Aviv Sourasky Medical Center and UCLA). The dataset includes 852 interictal epileptiform discharges, mainly from the medial temporal lobe, annotated by expert neurologists, and is provided in BIDS format. It supports development and benchmarking of automated interictal discharge detection methods.

Participants

25

Size

603 MB

Version

v1.0.0

Updated

Oct 8, 2026

Resting-state EEG recordings from 140 Colombian young people: 74 juvenile offenders and 66 non-offender controls. Data were acquired with a 128-channel Biosemi ActiveTwo system. The dataset provides epoched and preprocessed EEG, along with spectral band-power features (delta, theta, alpha, beta) for eyes-open and eyes-closed epochs. It is intended to support the study of neurocognition in juvenile delinquency.

Participants

140

Channels

128 (other)

Size

8.13 GB

Version

v1.0.0

Updated

Jun 29, 2026

This dataset contains 64-channel EEG recordings and behavioural ratings from four participants who read and evaluated 210 short English-language texts: Haiku, Senryu, and non-poetic control texts. Each text was rated on aesthetic appeal, vivid imagery, being moved, originality, and creativity. These participants' recordings were acquired in segments because of session interruptions and were concatenated during preprocessing. They are released as a companion to the main Poetry Assessment EEG Dataset 1 for completeness and transparency.

Participants

4

Channels

64 (10-10)

Size

4.29 GB

Version

v1.0.0

Updated

Jun 29, 2026

Preprocessed stereotactic EEG (SEEG) high-gamma power (50-100 Hz) from 16 patients with pharmaco-resistant epilepsy performing a probabilistic instrumental learning task with reward and punishment conditions. Data cover 248 bipolar derivations in the anterior insula, dorsolateral prefrontal cortex, lateral orbitofrontal cortex and ventromedial prefrontal cortex, time-locked to outcome. The derivative release supports information-theoretic analyses showing dissociable reward and punishment subsystems in the human frontal cortex.

Participants

16

Size

464 MB

Version

v1.0.0

Updated

Oct 8, 2026

This dataset contains simultaneous 64-channel EEG and fMRI recordings from 16 participants performing right-hand motor imagery with bimodal EEG-fMRI neurofeedback (experiment XP2). Participants were randomly assigned to receive either a mono-dimensional or a bi-dimensional feedback display. It includes raw and preprocessed EEG, BOLD fMRI, and EEG and BOLD neurofeedback scores, supporting multi-modal data integration research. It is designed to be combined with the companion XP1 dataset.

Participants

17

Size

25.9 GB

Version

v1.0.0

Updated

Jun 21, 2026

This dataset contains 32-channel EEG recorded from 22 healthy participants performing visual imagery of ten cued items: animals (dog, bird, fish), geometric figures (pentagram, square, circle), and objects (scissor, watch, cup, chair). Each participant completed up to two sessions of three runs, giving 16,800 trials in total. It is intended for developing visual imagery-based brain-computer interfaces and is distributed in BIDS format with HED event annotations.

Participants

22

Channels

32 (10-10)

Citations

3

HED

v8.4.0

Size

75.4 GB

Version

v1.0.3

Updated

Aug 20, 2026

This dataset provides simultaneous EEG and fNIRS recordings from 12 participants performing a silent naming task and three sensory-based imagery tasks (visual, auditory, tactile) on objects from the semantic categories of animals and tools. It supports research on semantic decoding and brain-computer interfacing. Stimulus images and example Python scripts for loading the data with MNE and MNE-BIDS are included.

Participants

12

Channels

64 (biosemi)

Citations

11

Size

24.2 GB

Version

v1.0.0

Updated

Jun 24, 2026

This dataset provides behavioral events and intracranial EEG recordings from a categorized delayed free recall task. Participants studied visually presented word lists built from 25 semantic categories, completed arithmetic distractor problems, and then freely recalled the words. Each 12-word list contains pairs of same-category words from three categories. Data were collected at multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.

Participants

258

Size

477 GB

Version

v1.0.0

Updated

Jun 25, 2026