Discover datasets

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

…a sequenceness analysis step was omitted from the published 2020 Nature Neuroscience…

Participants

25

Citations

14

Size

204 GB

Version

v1.0.0

Updated

Jun 21, 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

EEG dataset from forty participants who read an interactive story containing decision points. On each trial participants saw an item, made a yes/no decision, and received correct or incorrect feedback. The design compares a narrative condition, with story context at item onset and after feedback, against a nonnarrative condition with no such context. It is intended for studying how narrative context affects reward and feedback processing.

Participants

40

Channels

32

Size

2.85 GB

Version

v1.0.0

Updated

Jun 19, 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

This dataset contains behavioral events and intracranial electrophysiological (iEEG) recordings from a repeated-item free recall task. Participants studied visually presented word lists, each containing 27 encoding events drawn from 12 unique words repeated one, two, or three times. After a 7-second delay they freely recalled the words in any order. Data were collected at clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.

Participants

48

Size

157 GB

Version

v1.0.0

Updated

Jun 27, 2026

This dataset contains behavioral events and intracranial EEG recordings from neurosurgical patients performing a categorized free recall task. Participants studied lists of words drawn from semantic categories, completed arithmetic distractors, and freely recalled the words. Open-loop electrical stimulation was delivered to hippocampal and entorhinal sites during alternating two-word blocks at encoding, with stimulation parameters recorded in the event files.

Participants

19

Size

22.5 GB

Version

v1.0.0

Updated

Jun 27, 2026

EEG dataset from Experiment 1 of a study on whether capacity for movement is an organisational principle in visual object representations. Twenty-four participants viewed images of moving or non-moving, natural or artificial objects, completing a time-pressured aliveness classification task and a passive RSVP viewing task with a fixation-colour detection response. The release includes raw BrainVision EEG, preprocessed EEGLAB and CoSMoMVPA data, decoding results, analysis code, and 400 CC0 stimulus images.

Participants

24

Citations

18

Size

82.2 GB

Version

v1.0.0

Updated

Jun 22, 2026

Stereoelectroencephalography (sEEG) recordings from epilepsy patients at Oregon Health & Science University, collected while they were in the epilepsy monitoring unit awaiting seizures. Participants were presented with auditory and visual numerical stimuli, either symbolic (Arabic numerals and spoken numbers) or non-symbolic (dots and beeps). The dataset supports investigation of the neural representation of numerical quantity across modalities and formats.

Participants

13

Size

13.5 GB

Version

v1.0.0

Updated

Jun 27, 2026

EEG recordings from musicians listening to three-chord progressions in an auditory oddball-style paradigm. Standard progressions were interspersed with exemplar deviants (different chord inversion) and function deviants (different harmonic function of the middle chord). The dataset supports investigation of how improvisational experience relates to the categorization of musical structures.

Participants

40

Channels

64 (10-10)

Citations

43

Size

36.1 GB

Version

v1.0.0

Updated

Jun 22, 2026