Discover datasets

This dataset comprises multimodal physiological recordings from 86 participants during resting state and a digit span working memory task. It includes 64-channel EEG, electrocardiography, photoplethysmography, pupillometry, and behavioral performance data. The dataset enables investigation of neural and peripheral physiological correlates of cognitive load, working memory capacity, and cognitive overload detection across fine temporal scales.

Participants

86

Channels

63 (10-10)

Citations

61

Size

253 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises simultaneous EEG and eye-tracking recordings from 21 participants performing a matrix-based brain-computer interface (BCI) typing task using a single-character-presentation paradigm. Data were collected at Northeastern University in 2023 using the BciPy software platform, including calibration and copy-spelling sessions with event markers for target and non-target stimuli. The dataset supports research on multimodal sensor fusion for EEG-based BCI typing systems.

Participants

21

Channels

19 (10-20)

Size

616 MB

Version

v1.0.0

Updated

Aug 19, 2026

MEG-MASC is a high-quality magnetoencephalography dataset comprising raw MEG recordings from 27 English speakers listening to approximately two hours of naturalistic stories from the Manually Annotated Sub-Corpus (MASC). The dataset includes precise temporal annotations of word and phoneme onsets/offsets, organized according to the Brain Imaging Data Structure (BIDS) standard. This benchmark dataset enables large-scale encoding and decoding analyses of neural responses to natural speech processing, with accompanying code for validation analyses including temporal decoding of phonetic features and word frequency effects.

Participants

27

Citations

46

Size

99.3 GB

Version

v1.0.1

Updated

Jul 10, 2026

This dataset comprises intracranial EEG recordings and behavioral events from a paired-associates memory task incorporating open-loop electrical stimulation at either encoding or retrieval. Participants studied word pairs, performed an arithmetic distractor task, and completed cued recall, with stimulation applied to hippocampal or entorhinal cortex electrodes on a subset of lists. Data were collected across multiple clinical sites in collaboration with the University of Pennsylvania Computational Memory Lab, and represent an open-loop stimulation variant of the PAL1 dataset.

Participants

20

Size

26.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises simultaneous EEG-fMRI recordings from 24 healthy adults performing a sustained attention task (GradCPT) and a resting-state task with intermittent multi-dimensional experience sampling, collected across two sessions per participant. It includes behavioral responses, experience sampling ratings across 13 dimensions of thought, and mental health survey data, enabling study of the neural correlates of attentional fluctuations, mind-wandering, and the reliability of EEG-fMRI relationships across sessions.

Participants

24

Channels

31 (10-10)

Citations

1

Size

115 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset comprises psychometric and electroencephalographic (EEG) data collected from Mexican children with reading or math learning difficulties, aimed at evaluating the efficacy of the assistive online learning platform Smartick in improving academic skills. Data were collected from 76 subjects across two study groups (reading and math difficulties), each divided into experimental and control subgroups, with EEG and psychometric assessments performed before and after a three-month intervention period. The EEG recordings include resting-state and task-related conditions (reading comprehension or arithmetic problem solving), accompanied by psychometric measures such as reading speed, comprehension, math skills, selective attention, and IQ.

Participants

76

Channels

32 (10-10)

Citations

2

Size

2.76 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from three experiments investigating whether the auditory brainstem response (ABR) to natural continuous speech is modulated by selective attention. Participants listened to narrated audiobooks under diotic, dichotic, and passive listening conditions while cortical and subcortical EEG responses were simultaneously recorded. The dataset supports the study by Stoll et al. (2025) published in PLOS Biology, examining subcortical and cortical processing of attended versus unattended speech.

Participants

66

Channels

32 (10-10)

Citations

1

Size

103 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises simultaneous EEG and fMRI recordings from 10 subjects performing motor imagery and neurofeedback tasks. Participants completed six runs including motor localization, pre- and post-neurofeedback motor imagery, and three neurofeedback conditions (bimodal EEG-fMRI, unimodal EEG, and unimodal fMRI). The dataset provides both raw and preprocessed EEG data (64 channels at 5 kHz), structural and functional MRI data (3T Siemens, 2×2×4 mm³ resolution), and computed neurofeedback scores, enabling multi-modal neuroimaging data integration studies.

Participants

10

Size

18.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

The Brain, Body, and Behaviour Dataset - Experiment 3 is a multimodal neurophysiological dataset comprising 29 subjects across 2 sessions designed to investigate the effects of attentional state on learning from educational videos. Participants watched six educational videos under two conditions: attentive (with post-video testing) and distracted (with concurrent cognitive load), while simultaneous recordings of brain activity, cardiovascular function, eye movements, and head motion were collected. The dataset includes concurrent EEG, ECG, EOG, gaze tracking, pupil size, and head position data, along with behavioral measures including memory questionnaires and ADHD symptom assessments.

Participants

29

Channels

64 (10-10)

Size

7.44 GB

Version

v1.0.0

Updated

Jul 10, 2026

This magnetoencephalography (MEG) dataset investigates the differential neural mechanisms underlying selection and maintenance of information during working memory tasks. Data from 22 participants include MEG recordings across two sessions, structural MRI, and detailed behavioral measures from a working memory task and a one-back control task involving visual Gabor stimuli. The dataset supports investigation of how the brain selectively maintains task-relevant information while filtering distractions.

Participants

22

Size

168 GB

Version

v1.0.0

Updated

Jul 10, 2026