Discover datasets

This dataset comprises behavioral event logs and intracranial electrophysiological (iEEG) recordings from a delayed free recall task, collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania. Participants studied lists of visually presented words, performed arithmetic distractor tasks, and then freely recalled the words in any order. This preliminary cognitive electrophysiology study served as a predecessor to the later FR1 and CatFR1 datasets.

Participants

49

Size

97.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises behavioral events and intracranial electrophysiological recordings from a categorized free recall task conducted across multiple clinical sites. Participants studied semantically organized word lists (12 items from 3 categories with paired exemplars), performed a distractor task, and freely recalled the words. The dataset includes monopolar and bipolar iEEG recordings with electrode localization information, supporting investigations of memory encoding and retrieval processes.

Participants

258

Citations

1

Size

477 GB

Version

v1.0.0

Updated

Jul 10, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006817-blue…

Participants

35

Citations

1

Size

11.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises raw 64-channel EEG, ECG, PPG, and behavioral data collected from 30 healthy young adults during resting-state and verbal working memory tasks. Participants completed a digit-span serial recall task under four stimulus presentation modes (simultaneous, fast, fast+delay, and slow sequential), enabling investigation of neural and physiological correlates of encoding, maintenance, and retrieval. The dataset supports research on working memory load classification and the relationship between oscillatory brain activity, autonomic signals, and behavioral performance.

Participants

30

Channels

63 (10-10)

Citations

5

Size

41.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

…varying selective attention and the processing of sensory stimuli with distinct features…

Participants

24

Channels

64 (10-10)

Citations

82

Size

23.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises raw magnetoencephalography (MEG) recordings, T1-weighted anatomical MRI scans, and behavioural logfiles collected during an audiovisual speech memory paradigm. Participants performed encoding, distractor, and retrieval tasks designed to probe theta oscillatory dynamics underlying audiovisual integration and memory replay of speech content. The data support analyses of neocortical and hippocampal theta oscillations reported in an associated Journal of Neuroscience publication.

Participants

30

Citations

7

Size

172 GB

Version

v1.0.0

Updated

Aug 19, 2026

…This makes the task great for investigating reward processing & reward prediction error…

Participants

23

Channels

64 (10-10)

Size

4.72 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises simultaneous 64-channel EEG and 3T fMRI recordings from 16 subjects performing motor imagery and neurofeedback tasks. Participants were randomly assigned to receive either mono-dimensional or bi-dimensional neurofeedback displays during five experimental runs with alternating rest and task blocks. The dataset includes raw EEG data in Brain Vision format, preprocessed EEG data, BOLD fMRI acquisitions, computed neurofeedback scores from both modalities (EEG and fMRI), and event timing files, providing a comprehensive resource for multimodal neuroimaging data integration studies.

Participants

17

Size

25.9 GB

Version

v1.0.0

Updated

Jul 10, 2026

…82901/nemar.on004262) # Continuous Feedback Processing Twenty-one participants learned to predict…

Participants

21

Channels

31 (10-10)

Size

3.48 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset combines high-density electroencephalography (128-channel HD-EEG) and mouse-tracking to examine dynamic decision-making processes in the human brain. Collected from 31 adults (ages 18-33), it includes resting-state and task-related EEG data acquired during food preference choices and semantic judgment tasks. The resource provides both raw and preprocessed EEG data with synchronized behavioral measures, enabling investigation of neural correlates underlying binary choice decisions.

Participants

31

Channels

129 (egi-geodesic)

Citations

5

Size

153 GB

Version

v1.0.0

Updated

Jul 22, 2026