on003194
Neuroepo multisession
EEG
Imported from OpenNeuro ds003194
- Participants
- 15
- Channels
- 19 (10-20)
- Size
- 189 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
76 results for "neurophysiology" · page 5 of 8 · ranked by relevance
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- on006159
Implicit Learning EEG (BioSemi)
BEH EEGAn electroencephalography (EEG) dataset acquired using BioSemi equipment to investigate implicit learning processes. This raw neuroimaging dataset contains EEG recordings organized according to the Brain Imaging Data Structure (BIDS) standard, facilitating standardized analysis and sharing of electrophysiological data.
- Participants
- 61
- Size
- 114 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004514
Simultaneous EEG and fNIRS recordings for semantic decoding of imagined animals and tools
EEG NIRSThis dataset comprises simultaneous EEG and fNIRS recordings from 12 participants performing semantic imagery tasks involving silent naming and sensory-based imagination of animals and tools. Participants engaged in visual, auditory, and tactile perception tasks while neural activity was captured using a 64-channel BioSemi EEG system and a NIRx fNIRS imaging system with integrated optodes. The multimodal neuroimaging data supports research in semantic decoding and brain-computer interface applications.
- Participants
- 12
- Channels
- 64 (biosemi)
- Size
- 24.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- 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
- on007358
A subset of large-scale EEG dataset (India + Tanzania)
EEGThis dataset is a subset of a large-scale EEG data collection effort conducted in field settings across India and Tanzania, involving thousands of participants including diverse populations such as Hadzabe hunter-gatherers and office workers. EEG recordings are accompanied by metadata such as age, sex, income, and Mental Health Quotient (MHQ) score. The dataset demonstrates the feasibility of high-quality, low-cost EEG data collection by nonspecialists outside controlled laboratory environments, with applications for large-scale neurophysiological research in low- and middle-income countries.
- Participants
- 2000
- Channels
- 50 (other)
- Citations
- 4
- Size
- 16.1 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- on006260
Dataset of psychophysiological data from children with learning difficulties who strengthen reading and math skills through assistive technology
EEGThis dataset comprises psychometric and electroencephalographic (EEG) data collected from Mexican children with reading or math learning difficulties, aimed at evaluating the efficacy of the assistive online learning platform Smartick in improving academic skills. Data were collected from 76 subjects across two study groups (reading and math difficulties), each divided into experimental and control subgroups, with EEG and psychometric assessments performed before and after a three-month intervention period. The EEG recordings include resting-state and task-related conditions (reading comprehension or arithmetic problem solving), accompanied by psychometric measures such as reading speed, comprehension, math skills, selective attention, and IQ.
- Participants
- 76
- Channels
- 32 (10-10)
- Citations
- 2
- Size
- 2.76 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on003805
Multisensory Gamma Entrainment
EEGThis dataset comprises EEG recordings from a single healthy participant exposed to multisensory stimulation at gamma frequencies (40Hz). The experiment investigates brain entrainment responses to three stimulus modalities: auditory (5kHz carrier amplitude-modulated at 40Hz), visual (20Hz flickering white LED array), and combined audio-visual stimulation. Each stimulus epoch lasted 40 seconds and was recorded using 19 monopolar EEG channels at 500Hz sampling rate. The study aims to characterize synchronized brain oscillations induced by different sensory modalities, with potential implications for understanding gamma entrainment mechanisms relevant to neurodegenerative diseases such as Alzheimer's disease.
- Participants
- 1
- Channels
- 19 (10-20)
- Size
- 17.0 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007537
A multimodal dataset of EEG, eye-tracking, and physiological signals during smartphone interaction
BEH EEGThis dataset comprises multimodal physiological recordings from 23 healthy adult participants collected during naturalistic smartphone interaction and standardized video viewing conditions. Simultaneous EEG (64-channel), eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) data were acquired, synchronized via hardware TTL pulses. The dataset supports research into physiological and neural correlates of smartphone use and passive video viewing.
- Participants
- 23
- Channels
- 64 (10-10)
- Citations
- 1
- Size
- 6.12 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- on008496
EEG RKI
EEGThis dataset contains electroencephalogram (EEG) recordings from 15 university students (8 males, 7 females; aged 21-23 years) collected to investigate brain connectivity during learning processes involving generative AI. Participants performed essay-writing tasks under varying AI interaction conditions, enabling assessment of cognitive states such as creativity, memory, and critical thinking.
- Participants
- 15
- Channels
- 14 (other)
- Size
- 1.17 GB
- Version
- v1.0.0
- Updated
- Sep 8, 2026
- nm000181
NMT: Neurodiagnostic Montage Template Scalp EEG
EEG Zarr verified2417 clinical EEG recordings, 19-ch 10-20 montage, normal/abnormal labels. EDF format. Zenodo DOI:10.5281/zenodo.10909103
- Participants
- 2417
- Channels
- 21 (10-20)
- Size
- 13.8 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026