nm000111
ISRUC-Sleep: A comprehensive public dataset for sleep researchers.
EEG
…Sleep stage N1 - 2: Sleep stage N2 - 3: Sleep stage N3 - 5…
- Participants
- 118
- Channels
- 19 (other)
- Citations
- 87
- Size
- 17.4 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
Discover datasets
80 results for "N1 lateralization" · page 2 of 8 · ranked by relevance
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- nm000178
BNCI 2020-001 Reach-and-Grasp Electrode Comparison EEG dataset
EEG Zarr verifiedThis dataset comprises EEG recordings from 15 healthy participants performing reach-and-grasp motor imagery tasks using three different electrode systems: gel-based laboratory equipment, water-based mobile EEG, and dry-electrode mobile EEG. Data were acquired at 256 Hz from 58 EEG channels plus 6 EOG channels across three sessions with 7200 total trials. Participants executed palmar grasp (toward glass) and lateral grasp (toward spoon) actions. The study investigates the feasibility of decoding natural reach-and-grasp neural correlates across different EEG acquisition modalities for brain-computer interface applications.
- Participants
- 45
- Channels
- 58 (10-05)
- Citations
- 51
- HED
- v8.4.0
- Size
- 8.67 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on004324
ToonFaces
EEG…These images elicit an enhanced N170 component, well known in facial recognition…
- Participants
- 26
- Channels
- 28 (10-10)
- Size
- 2.46 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006012
A geometric shape regularity effect in the human brain: MEG dataset
ANAT MEGThis dataset contains magnetoencephalography (MEG) recordings from 20 adult participants examining the neural mechanisms underlying perception of regular geometric shapes such as hexagons, triangles, and quadrilaterals. The study investigates how geometric regularity modulates brain activity in ventral visual, intraparietal, and inferior temporal regions, and compares neural responses to predictions from convolutional neural networks and transformer vision models. A companion fMRI dataset examining the same phenomenon is shared separately.
- Participants
- 21
- Citations
- 13
- Size
- 71.1 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006695
Validation of Sleep Staging with Forehead EEG Patch
EEG…2 equals REM 3 equals N1 4 equals N2 5 equals N3…
- Participants
- 19
- Channels
- 3 (other)
- Citations
- 6
- Size
- 9.36 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005522
Spatial Navigation Memory of Object Locations
BEH iEEGThis dataset comprises intracranial electrophysiological recordings and behavioral data from a spatial navigation memory task conducted across multiple clinical sites. Participants encoded object locations during guided navigation learning phases and subsequently recalled these locations during self-navigation test phases. The dataset includes 50 trials per session with counterbalanced trial blocking and provides both monopolar and bipolar iEEG recordings with anatomical coordinates.
- Participants
- 58
- Citations
- 2
- Size
- 107 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- nm000225
PhysioNet 2018 Challenge: Sleep Arousal Detection PSG (Training)
EEG…Wake, N1, N2, N3, REM Respiratory events (with onset and duration): resp…
- Participants
- 1983
- Channels
- 6 (other)
- Citations
- 91
- Size
- 401 GB
- Version
- v1.1.0
- Updated
- Jul 10, 2026
- on006850
Urban Appraisal: Physiological Recording during Rating of Different Urban Environments
EEG…variables Stimulus-Onset ERPs (P1, N1 at occipital electrode cluster POz, Oz…
- Participants
- 63
- Channels
- 66 (other)
- Citations
- 3
- Size
- 34.7 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006848
AlphaDirection1: EEG, ECG, PPG in the resting state and working memory for sequentially and simultaneously presented digits
BEH EEGThis dataset comprises raw 64-channel EEG, ECG, PPG, and behavioral data collected from 30 healthy young adults during resting-state and verbal working memory tasks. Participants completed a digit-span serial recall task under four stimulus presentation modes (simultaneous, fast, fast+delay, and slow sequential), enabling investigation of neural and physiological correlates of encoding, maintenance, and retrieval. The dataset supports research on working memory load classification and the relationship between oscillatory brain activity, autonomic signals, and behavioral performance.
- Participants
- 30
- Channels
- 63 (10-10)
- Citations
- 5
- Size
- 41.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005555
The Bitbrain Open Access Sleep (BOAS) dataset
EEG…NonREM sleep stage 1 (N1), - 2: NonREM sleep stage 2 (N2), - 3…
- Participants
- 128
- Channels
- 2
- Citations
- 7
- Size
- 33.5 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026