Discover datasets

This dataset contains behavioral events and intracranial electrophysiology (iEEG) recordings from a categorized free recall task with closed-loop electrical stimulation during encoding. Participants studied lists of semantically categorized words, completed arithmetic distractors, and freely recalled the words. Stimulation was triggered by a classifier trained on each participant's prior encoding data to predict subsequent recall. Data were collected at multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.

Participants

9

Size

12.2 GB

Version

v1.0.0

Updated

Jun 27, 2026

EEG recordings from 21 participants learning to play two drumming patterns at three tempos (fast, medium, slow) by pressing keys on a standard keyboard. Each key press triggered visual feedback indicating whether the response was early, on time, or late, with the timing window adapted trial by trial so that about half of responses were on time. The dataset supports study of feedback-based motor timing and learning.

Participants

21

Channels

31 (10-10)

Citations

2

Size

4.77 GB

Version

v1.0.0

Updated

Jun 23, 2026

EEG dataset of 15 healthy participants performing a four-class auditory stream segregation multiclass ERP (ASME) brain-computer interface task. Two strategies for achieving four classes were compared: ASME-4stream (four streams, one target stimulus each) and ASME-2stream (two streams, two target stimuli each). P300 responses, binary classification and offline BCI simulation with linear discriminant analysis showed average accuracies of 0.83 and 0.86, respectively. NASA-TLX workload ratings were also collected.

Participants

15

Channels

64 (10-10)

Citations

5

HED

v8.4.0

Size

23.5 GB

Version

v1.0.5

Updated

Oct 8, 2026

ROAMM (Reading Observed At Mindless Moments) is a multimodal dataset of simultaneous EEG and eye-tracking recordings from 44 participants during naturalistic reading, with span-level mind-wandering annotations collected through a retrospective self-report paradigm. It serves as a benchmark for mind-wandering detection and EEG-to-text decoding, and supports research on how attention lapses degrade language decoding from brain activity. Synchronized machine-learning-ready data, reading stimuli and page-level comprehension scores are included.

Participants

1

Channels

64 (10-10)

Size

46.6 GB

Version

v1.0.0

Updated

Jun 30, 2026

Raw EEG recordings from 15 participants who each completed three auditory oddball sequences: the Optimum-1 paradigm for mismatch negativity (MMN), a learning-oddball paradigm for P3b, and the local–global paradigm for local and global effects. The dataset supports comparison of within-individual sensitivity of MMN and P3b effects across specialized oddball sequences and the local–global paradigm. Corrected event files, stimulation sequence definitions and stimulus presentation code are included.

Participants

15

Channels

64 (10-10)

Size

16.5 GB

Version

v1.0.0

Updated

Jun 27, 2026

This dataset contains 64-channel EEG recordings and behavioural ratings from four participants who read and evaluated 210 short English-language texts: Haiku, Senryu, and non-poetic control texts. Each text was rated on aesthetic appeal, vivid imagery, being moved, originality, and creativity. These participants' recordings were acquired in segments because of session interruptions and were concatenated during preprocessing. They are released as a companion to the main Poetry Assessment EEG Dataset 1 for completeness and transparency.

Participants

4

Channels

64 (10-10)

Size

4.29 GB

Version

v1.0.0

Updated

Jun 29, 2026