on007052
PURSUE N400 Word Processing
EEG
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- Size
- 8.98 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
Discover datasets
11 results for "N400" · page 1 of 2 · ranked by relevance
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- nm000228
Nieuwland et al. 2018: Multi-site N400 Replication Study
EEG…Multi-site N400 Replication Study ========================================================== Overview -------- This is a large-scale (N…
- Participants
- 356
- Channels
- 63 (10-10)
- Citations
- 98
- Size
- 102 GB
- Version
- v1.1.0
- Updated
- Jul 10, 2026
- nm000187
BigP3BCI Study N — 9x8 dry/wet electrode comparison (8 ALS subjects)
EEGThis dataset comprises EEG recordings from 8 ALS patients participating in a P300-based brain-computer interface speller paradigm, comparing 9x8 dry and wet electrode configurations. Subjects completed 2 sessions each with visual stimulus presentation and target/non-target classification tasks. The data were acquired at 256 Hz using 16-channel g.USBamp systems and represent a subset of the larger BigP3BCI dataset, the most comprehensive public P300 BCI resource.
- Participants
- 8
- Channels
- 16 (10-10)
- HED
- v8.4.0
- Size
- 1.22 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000132
ERP CORE
EEG Zarr verified…N170, mismatch negativity (MMN), N2pc, N400, P3, lateralized readiness potential (LRP), and…
- Participants
- 40
- Channels
- 30 (10-10)
- Citations
- 92
- HED
- v8.4.0
- Size
- 17.5 GB
- Version
- v1.1.1
- Updated
- Jul 10, 2026
- nm000127
Kim2025 – 40-class beta-range SSVEP speller dataset
EEG Zarr verifiedA 40-class steady-state visually evoked potential (SSVEP) brain-computer interface speller dataset acquired from 40 healthy subjects using beta-range stimulation frequencies (14.0–21.8 Hz) to reduce visual fatigue. The dataset comprises 33-channel EEG recordings (31 scalp + 2 mastoid references) sampled at 1024 Hz across 6 sessions per subject, with 240 trials total using the joint frequency-phase modulation (JFPM) approach. This resource supports the development and benchmarking of low-fatigue BCI applications for communication interfaces.
- Participants
- 40
- Channels
- 31 (10-10)
- Citations
- 4
- HED
- v8.4.0
- Size
- 16.5 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on004860
Investigating the cognitive conflict triggered by moral judgment of accidental harm : an event-related potentials study
EEG…into a semantic judgment task (N400). Participants listened to moral scenarios featuring…
- Participants
- 31
- Channels
- 32
- Citations
- 1
- Size
- 3.79 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006460
High-DensityvSparsefNIRS_WordColorStroop_HD_Anderson_2025
NIRSThis dataset comprises high-density functional near-infrared spectroscopy (fNIRS) measurements acquired during a Word-Color Stroop task. The study compares high-density multi-distance fNIRS configurations with sparse fNIRS arrangements to evaluate their relative sensitivity in detecting brain activity during cognitive control tasks. Data were collected from multiple participants with concurrent behavioral performance metrics.
- Participants
- 17
- Size
- 460 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000152
Upper-limb elbow-centered motor imagery dataset (10 classes)
EEG Zarr verified…EGI Geodesic Net Amps 400 series (N400) - **Software**: BCI2000 (Stimulus Presentation mode…
- Participants
- 12
- Channels
- 17 (other)
- Citations
- 13
- HED
- v8.4.0
- Size
- 4.18 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000171
BNCI 2014-002 Motor Imagery dataset
EEG Zarr verifiedThe BNCI 2014-002 Motor Imagery dataset comprises EEG recordings from 14 healthy subjects performing two-class motor imagery tasks (right hand and feet imagination) in a cue-guided Graz-BCI paradigm. Data were acquired at 512 Hz using 15 EEG channels with online Butterworth filtering and Laplacian montage, yielding 160 trials per subject with continuous visual feedback. This minimally preprocessed dataset has been benchmarked for brain-computer interface applications using machine learning classifiers including random forests and regularized linear discriminant analysis.
- Participants
- 14
- Channels
- 15 (other)
- Citations
- 89
- HED
- v8.4.0
- Size
- 1.37 GB
- Version
- v1.0.4
- Updated
- Aug 18, 2026
- nm000162
BNCI 2025-001 Motor Kinematics Reaching dataset
EEG Zarr verifiedThis dataset comprises preprocessed electroencephalography (EEG) recordings from 20 healthy participants performing a motor imagery task involving discrete reaching movements in four directions (up, down, left, right) with varying speeds and distances. Participants executed 960 trials across 10 blocks while viewing visual cues, with concurrent eye-tracking and motion capture data. The dataset includes extensive preprocessing with artifact correction, source localization, and classification features, making it suitable for brain-computer interface research and motor imagery decoding studies.
- Participants
- 20
- Channels
- 67 (10-05)
- Citations
- 3
- HED
- v8.4.0
- Size
- 15.4 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026