on003800
Auditory Gamma Entrainment
EEG
Imported from OpenNeuro ds003800
- Participants
- 13
- Size
- 364 MB
- Version
- v1.0.0
- Updated
- May 23, 2026
Discover datasets
71 results for "speech intelligibility" · page 7 of 8 · ranked by relevance
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- nm000253
Wang et al. 2024 — Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli
iEEGBrain Treebank is a large-scale intracranial EEG dataset comprising 43 hours of iEEG recordings from 10 epilepsy patients watching naturalistic Hollywood movies, with 1,688 electrodes sampled at 2048 Hz. The dataset includes time-aligned linguistic annotations with word-level transcripts and Universal Dependencies syntax trees, providing a unique resource for studying neural language processing during naturalistic stimulation.
- Participants
- 10
- Size
- 508 GB
- Version
- v1.0.0
- Updated
- Jun 8, 2026
- nm000351
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study P)
EEGBigP3BCI Study P is a P300-based brain-computer interface dataset comprising EEG recordings from 19 healthy subjects across 2 sessions each, using a 9x8 character grid spelling paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz with standardized 10-20 montage, annotated with target and non-target visual stimulus events. This derivative dataset is part of the largest public P300 BCI dataset collection, and is optimized for machine learning applications in BCI research.
- Participants
- 19
- Size
- 1.46 GB
- Version
- v1.0.1
- Updated
- Jun 3, 2026
- nm000199
Learning from label proportions for a visual matrix speller (ERP)
EEG- Participants
- 13
- Citations
- 47
- Size
- 5.14 GB
- Version
- v1.0.0
- Updated
- Jun 2, 2026
- on005545
Auditory naming
iEEGThis dataset comprises intracranial EEG recordings from 106 patients performing an auditory naming task. The recordings include event markers for stimulus onset/offset and response onset, with electrode coordinates provided in MNI-305 space. The dataset supports investigation of neural mechanisms underlying auditory language processing and naming through direct brain recordings.
- Participants
- 106
- Size
- 40.0 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- on004517
EEG recordings for semantic decoding of imagined animals and tools during auditory imagery task
EEGThis dataset comprises electroencephalography (EEG) recordings from 7 participants performing an auditory imagery task, wherein subjects imagined sounds produced by objects from semantic categories (animals and tools) for 5-second intervals. EEG signals were acquired using a 64-channel BioSemi ActiveTwo system sampled at 2048 Hz, with concurrent electrooculography and physiological monitoring. The dataset supports research in semantic decoding and brain-computer interface applications using imagined auditory stimuli.
- Participants
- 7
- Size
- 12.7 GB
- Version
- v1.0.0
- Updated
- Jun 24, 2026
- nm000134
Alljoined-1.6M
EEG- Participants
- 20
- Citations
- 1
- Size
- 7.75 GB
- Version
- v1.0.0
- Updated
- May 18, 2026
- nm000234
BNCI 2015-009 AMUSE (Auditory Multi-class Spatial ERP) dataset
EEGThe BNCI 2015-009 AMUSE dataset comprises EEG recordings from 21 healthy subjects performing an auditory oddball task using spatial hearing as a discriminating cue. The dataset implements a P300-based brain-computer interface paradigm with multi-class auditory stimuli presented from five spatially distributed speakers at varying inter-stimulus intervals. Preprocessed data includes 60 EEG channels and 2 EOG channels sampled at 100 Hz (downsampled from 250 Hz acquisition rate), with offline classification achieving up to 100% accuracy on best-performing individual subjects.
- Participants
- 21
- Citations
- 91
- Size
- 4.57 GB
- Version
- v1.0.0
- Updated
- Jun 3, 2026
- on004789
Delayed Free Recall of Word Lists
BEH iEEGThis dataset comprises intracranial electrophysiological recordings and behavioral data from a delayed free recall task conducted across multiple clinical sites. Participants studied visually presented word lists, performed arithmetic distractor tasks, and then freely recalled words in any order. The dataset includes monopolar and bipolar iEEG recordings with electrode localization information and standardized voltage scaling across multiple recording systems.
- Participants
- 280
- Citations
- 2
- Size
- 576 GB
- Version
- v1.0.0
- Updated
- Jun 25, 2026
- on005279
Picture-Word Interference Dataset
ANAT BEH MEGThis dataset comprises magnetoencephalography (MEG), structural magnetic resonance imaging (sMRI), and behavioral data from 30 healthy young adults performing a picture-word interference task. Participants identified object images and judged whether the object name ended in a target sound while hearing distractor words that were phonologically related, semantically related, or unrelated to the pictures. The dataset includes three task runs per participant with 120 trials each (40 phonologically related, 40 semantically related, and 40 unrelated trials per run), along with reaction time, accuracy, and MEG recordings epoched to picture and response onsets for event-related analysis.
- Participants
- 30
- Size
- 56.4 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026