on004276
Auditory single word recognition in MEG
BEH MEG
…Stimuli and TextGrids are available from the Massive Auditory Lexical Decision database…
- Participants
- 19
- Citations
- 1
- Size
- 11.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "auditory scene analysis" · page 7 of 10 · ranked by relevance
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- on002218
Auditory and Visual Rhythm Omission EEG
EEG…The study had 18 participants listen to auditory rhythms and watch visual…
- Participants
- 18
- Channels
- 32 (10-10)
- Size
- 1.95 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- 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
- Jul 10, 2026
- nm000199
Learning from label proportions for a visual matrix speller (ERP)
EEGThis dataset comprises event-related potential (ERP) recordings from 13 healthy subjects performing a visual matrix speller task using a calibrationless brain-computer interface approach. The study introduces learning from label proportions (LLP), an unsupervised classification method that exploits known target/non-target stimulus ratios to enable online BCI operation without prior calibration. Subjects performed copy-spelling tasks using a 6×7 character grid across three sessions, achieving 84.5% character accuracy without labeled training data.
- Participants
- 13
- Channels
- 31 (10-10)
- Citations
- 46
- HED
- v8.4.0
- Size
- 5.15 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- nm000190
BNCI 2015-012 PASS2D P300 dataset
EEG…brain–computer interface, BCI, auditory ERP, P300, N200, spatial auditory stimuli, T9…
- Participants
- 10
- Channels
- 63 (10-10)
- Citations
- 84
- HED
- v8.4.0
- Size
- 7.62 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on006104
EEG dataset for speech decoding
EEGThis dataset comprises EEG recordings from 24 participants across two related studies (2019 and 2021) investigating phoneme discrimination during concurrent transcranial magnetic stimulation (TMS) of motor and speech-related cortical regions. Participants listened to speech sounds—including single phonemes, phoneme pairs, and phoneme triplets (real and pseudowords)—and responded via button press, enabling exploration of articulation and coarticulation effects on neural speech decoding. The dataset supports research into cortical mechanisms underlying speech perception and motor cortex involvement in phoneme processing.
- Participants
- 24
- Channels
- 61 (10-10)
- Citations
- 6
- Size
- 83.8 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006317
Chisco-2.0
EEG…Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal…
- Participants
- 2
- Channels
- 124 (10-05)
- Size
- 52.9 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000189
BNCI 2015-003 P300 dataset
EEG…spatial_auditory - **Stimulus modalities**: auditory - **Primary modality**: auditory - **Synchronicity**: synchronous - **Mode**: online…
- Participants
- 10
- Channels
- 8 (10-10)
- Citations
- 81
- HED
- v8.4.0
- Size
- 74.4 MB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on004574
Cross-modal Oddball Task.
BEH EEG…cue, or oddball auditory pre-cue. Our analysis focused only on trials…
- Participants
- 146
- Channels
- 63 (10-10)
- Citations
- 8
- Size
- 13.5 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on007870
Appleseed Audiobook MEG
MEGThis dataset contains magnetoencephalography (MEG) recordings from 12 participants listening to continuous narrative speech (an audiobook), plus an empty-room recording. It was collected to investigate how the brain integrates local and unified predictive linguistic models during incremental speech processing, examining neural signatures of sublexical, word-level, and sentence-level predictive representations. The dataset includes stimulus files (audio-derived gammatone features, TextGrid annotations) and derivatives (FreeSurfer outputs, MNE processing files, predictors).
- Participants
- 13
- Size
- 41.6 GB
- Version
- v1.0.0
- Updated
- Sep 8, 2026