Discover datasets

Resting-state EEG recorded from 25 patients with Parkinson's disease enrolled in a double-blind, randomized, placebo-controlled trial of Neuroepo, an erythropoietin formulation with low sialic acid content. Participants received Neuroepo (n=15) or placebo (n=10), and EEG was recorded before and six months after administration. Raw data are provided in EEG-BIDS format to support assessment of qualitative and quantitative EEG (source-level) biomarkers of neuroprotection.

Participants

15

Channels

19 (10-20)

Size

189 MB

Version

v1.0.0

Updated

May 13, 2026

Microwire local field potentials (400 Hz) from Behnke-Fried hybrid depth electrodes in 35 patients with drug-resistant epilepsy, recorded during a picture-based Sternberg working-memory task with load 1 or load 3. Recording sites include the hippocampus, amygdala, dorsal anterior cingulate cortex, pre-supplementary motor area and ventromedial prefrontal cortex. This is an iEEG-BIDS representation of the NWB data released on DANDI (000673) from the Daume et al. 2024 study, with signal values unchanged.

Participants

35

Size

4.11 GB

Version

v1.0.0

Updated

Oct 8, 2026

A collection of electroencephalography (EEG) recordings from 15 students (8 male, 7 female, aged 21-23) performing essay-writing tasks. The task was designed to assess cognitive conditions such as creativity, memory, and critical thinking under different generative AI interaction conditions. The dataset supports studies of brain connectivity during student learning processes with Gen-AI.

Participants

15

Channels

14 (other)

Size

1.17 GB

Version

v1.0.0

Updated

Sep 8, 2026

Alljoined1 is an EEG dataset of neural responses to natural images presented in a rapid serial visual presentation paradigm, built for EEG-to-image decoding research. Eight healthy adults viewed images from the Natural Scenes Dataset (MS-COCO) while 64-channel BioSemi EEG was recorded across one or two sessions. This BIDS version contains raw BDF recordings of 960 shared images, event tables linked to stimuli, and epoched derivatives from the original authors.

Participants

8

Citations

5

Size

8.04 GB

Version

v1.0.4

Updated

Sep 23, 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

The Brain Treebank is a large-scale dataset of intracranial (stereo-EEG) recordings from 10 epilepsy patients who watched Hollywood movies. Signals were sampled at 2048 Hz from 1,688 electrodes in total, across 26 movie trials and about 43 hours of data. The movie audio was transcribed with manually annotated word onsets, and each transcript was parsed into Universal Dependencies syntax trees. This makes the dataset a resource for studying the neural basis of naturalistic language. This record provides the data in BIDS-iEEG format.

Participants

10

Size

257 GB

Version

v1.1.0

Updated

Sep 21, 2026

This dataset contains EEG recordings acquired with a BioSemi system in an implicit learning paradigm. It is organized according to the EEG-BIDS specification and was prepared with MNE-BIDS. The data are shared as a raw BIDS dataset under a CC0 license.

Participants

61

Size

114 GB

Version

v1.0.0

Updated

Jun 20, 2026

EEG recordings from an executive functioning battery comprising the N-Back, Sustained Attention to Response Task (SART), and Local-Global tasks. Data were collected from 24 participants in two sessions, on the first and last day of a frontal midline theta neurofeedback meditation training experiment, to assess neurofeedback effects on executive function. Data are provided in EEGLAB .set format, with the original .bdf files in the sourcedata folder.

Participants

24

Channels

64 (10-10)

Citations

51

Size

26.8 GB

Version

v1.0.0

Updated

Jun 1, 2026

An open-access EEG dataset for inner speech recognition recorded from ten participants with a 136-channel acquisition system. It covers three paradigms (inner speech, pronounced speech, and visualized condition) with four command classes (Up, Down, Right, Left) across 5640 trials. It is intended to support brain-computer interface development and the study of the neural mechanisms of the inner voice.

Participants

10

Citations

78

Size

24.6 GB

Version

v1.0.0

Updated

Jun 22, 2026

PhysioMotion_Artifact is an EEG dataset organized in BIDS format, apparently intended to characterize physiological and motion-related artifacts in electroencephalographic recordings. It is distributed via OpenNeuro and NEMAR. The README provides little detail about the participants or recording protocol.

Participants

30

Channels

59 (10-10)

Size

36.2 GB

Version

v1.0.0

Updated

Jun 28, 2026