on006914
Visual Naming EC
iEEG Zarr
…Whole-Brain Millisecond-Scale Effective Connectivity Atlases of Speech
- Participants
- 110
- Size
- 17.5 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
Discover datasets
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- on007655
MorseEEG-ATP
BEH EEG ZarrMorseEEG-ATP is a multitask EEG dataset for studying auditory temporal processing and temporal pattern discrimination using Morse code stimuli. It contains synchronized 62-channel EEG and behavioral data from 32 healthy adults performing dot-count and first-last match discrimination tasks at three presentation rates (15, 30, and 40 characters per minute). The release includes raw and minimally preprocessed EEG, event annotations, behavioral measures, and analysis scripts in an EEG-BIDS structure.
- Participants
- 32
- Channels
- 62 (10-10)
- Size
- 14.6 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
- on006910
Auditory Naming EC
iEEG Zarr…Whole-Brain Millisecond-Scale Effective Connectivity Atlases of Speech
- Participants
- 121
- Size
- 44.6 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
- on005558
Categorized Free Recall with Closed-Loop Stimulation at Encoding (Encoding Classifier)
BEH iEEG ZarrThis 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
- on006434
The auditory brainstem response to natural speech is not affected by selective attention
EEG Zarr…White for the male speech and The Children of Odin and The…
- Participants
- 66
- Channels
- 32 (10-10)
- Citations
- 9
- Size
- 103 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
- on007949
Auditory Streaming and Interoception
EEG ZarrEEG dataset on auditory streaming and interoception, collected at the University of Chicago by Veillette, Joshi, Li, and Nusbaum. Data are organized in BIDS format (BrainVision files) and released under a CC0 license.
- Participants
- 22
- Channels
- 1 (other)
- Size
- 7.25 GB
- Version
- v1.0.0
- Updated
- Jun 19, 2026
- nm000375
Neural interactions in the human frontal cortex dissociate reward and punishment learning (Combrisson et al., 2024): preprocessed SEEG high-gamma power, 16 patients (derivative)
iEEG…Trial-wise prediction errors from a Q-learning model with learning rate…
- Participants
- 16
- Size
- 464 MB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- on004865
pyFR: Delayed Free Recall of Word Lists, Preliminary Cognitive Electrophysiology Study
BEH iEEG ZarrThis 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
- nm000195
Mixture of LLP and EM for a visual matrix speller (ERP) dataset from
EEG ZarrEEG recordings from an online brain-computer interface study with twelve healthy participants using a visual matrix P300 speller. Three fully unsupervised decoding methods were compared: learning from label proportions (LLP), expectation-maximization (EM), and their mixture (MIX). Participants copy-spelled a German sentence across three blocks, one per algorithm. The dataset supports research on calibration-free ERP-based BCIs.
- Participants
- 12
- Channels
- 31 (10-10)
- Citations
- 27
- HED
- v8.4.0
- Size
- 4.81 GB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
- on004118
BCIT Calibration Driving
EEG…applying fatigue-based driver performance prediction algorithms. Calibration data sets were designed…
- Participants
- 156
- Channels
- 64 (10-10)
- Citations
- 29
- HED
- v8.0.0
- Size
- 124 GB
- Version
- v1.0.0
- Updated
- Jun 23, 2026