Discover datasets

EEG dataset from 146 participants (98 with Parkinson's disease and 48 controls) performing a cross-modal oddball task collected between 2017 and 2021. Each trial presented simultaneous visual and auditory pre-cues, either standard or oddball, followed by a directional arrow GO cue requiring a response. The dataset supports investigation of midfrontal neural activity and cognitive dysfunction in Parkinson's disease.

Participants

146

Channels

63 (10-10)

Citations

4

Size

13.5 GB

Version

v1.0.0

Updated

Jun 24, 2026

EEG dataset investigating proactive selective attention across different competition contexts. The dataset is mirrored on NEMAR from OpenNeuro (ds005089) and organized in BIDS format.

Participants

36

Channels

63 (10-10)

Citations

6

Size

68.0 GB

Version

v1.0.0

Updated

Jun 26, 2026

A magnetoencephalography (MEG) dataset from a frequency-tagging study of syntactic structure and lexical properties in language processing. The recordings are organized in BIDS format and are intended for investigating neural tracking of linguistic structure.

Participants

34

Size

195 GB

Version

v1.0.0

Updated

Jun 22, 2026

EEG recordings from a P300 speller brain-computer interface study comparing flashing paradigms for online typing with language model support. The dataset was collected with BCI2000 to evaluate typing performance across different stimulus presentation schemes. It supports research on P300-based communication interfaces.

Participants

11

Citations

1

Size

1.46 GB

Version

v1.0.0

Updated

May 13, 2026

EEG dataset investigating anticipatory neural differences between attention and expectation. The recordings were collected by a research group led by Maria Ruz and are organized in BIDS format. The dataset is mirrored on NEMAR from OpenNeuro (ds004502).

Participants

48

Channels

65 (10-10)

Size

59.4 GB

Version

v1.0.0

Updated

Jun 24, 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 behavioral events and intracranial EEG recordings from a delayed free recall task in which participants studied visually presented word lists, solved arithmetic distractor problems, and then freely recalled the words. Data were collected at clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania. It is a preliminary cognitive electrophysiology study that precedes the FR1 and CatFR1 datasets.

Participants

49

Size

97.8 GB

Version

v1.0.0

Updated

Jun 25, 2026

Magnetoencephalography (MEG) recordings from participants listening to 16-item binary sound sequences of varying complexity, used to test a language-of-thought account of compression in human working memory. Sequences were defined by minimal description length (transition probabilities, chunking, or nested structures), and occasional deviant sounds probed participants' knowledge of each sequence. The data accompany a study reporting that MEG and fMRI responses scale with sequence complexity.

Participants

19

Citations

26

Size

23.4 GB

Version

v1.0.0

Updated

Jun 24, 2026

This dataset contains behavioral events and intracranial EEG recordings from a delayed free recall task with closed-loop electrical stimulation delivered during word encoding. A logistic regression classifier trained on participants' prior free recall sessions predicts subsequent recall from encoding-period neural activity, and stimulation is triggered when predicted recall is low. Data were collected at multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.

Participants

18

Size

34.7 GB

Version

v1.0.0

Updated

Jun 27, 2026

EEG dataset titled 'what_are_we_talking_about', authored by Boncz, Toth, and Winkler. It is a BIDS-formatted raw EEG dataset mirrored on NEMAR from OpenNeuro (ds004075). The README provides little detail on the experimental paradigm.

Participants

29

Size

7.39 GB

Version

v1.0.0

Updated

Jun 23, 2026