nm000109
EEG During Mental Arithmetic Tasks
EEG Zarr verified
- Participants
- 36
- Channels
- 20 (10-20)
- Citations
- 88
- Size
- 174 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
76 results for "neurophysiology" · page 6 of 8 · ranked by relevance
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- on002799
Human es-fMRI Resource: Concurrent deep-brain stimulation and whole-brain functional MRI
ANAT FMAP FUNC iEEGThis dataset comprises concurrent deep-brain electrical stimulation and whole-brain functional MRI data from 26 patients with medically refractory epilepsy. Patients underwent intracranial electrode implantation for clinical purposes, with one or multiple electrode contacts stimulated during fMRI acquisition using block design protocols. The resource includes anatomical imaging (T1, T2), resting-state fMRI, electrical stimulation-fMRI (es-fMRI) scans, field maps, electrode coordinates, and stimulation parameters, along with preprocessed derivatives.
- Participants
- 26
- Citations
- 8
- Size
- 176 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006801
Resting-state EEG before and after different study methods
EEGThe RECAP-EEG dataset provides resting-state electroencephalography recordings from 21 neurotypical undergraduate students collected before and after different study interventions (active retrieval practice, passive review, and control conditions) at the Federal University of Paraíba, Brazil. The dataset aims to support research into the neural correlates of learning, retrieval practice, and educational neuroscience. Recordings include pre- and post-intervention resting-state EEG with eyes-open and eyes-closed blocks.
- Participants
- 21
- Channels
- 31
- Citations
- 1
- Size
- 1.32 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006386
PhysioMotion_Artifact
EEGThis dataset contains physiological EEG recordings organized according to the BIDS standard, focused on capturing motion-related artifacts during EEG acquisition. It is derived from a source OpenNeuro dataset and formatted using MNE-BIDS tools to facilitate reproducible analysis of physiological artifacts in EEG signals.
- Participants
- 30
- Channels
- 59 (10-10)
- Citations
- 1
- Size
- 36.2 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005307
Laser-evoked potentials in the human spinal cord and cortex
EEGThis dataset contains laser-evoked potential recordings capturing neural responses in the human spinal cord and cortex following nociceptive laser stimulation. It was collected to investigate the neurophysiological processing of pain-related signals across spinal and cortical levels. The dataset is organized according to the BIDS standard for electrophysiological data.
- Participants
- 7
- Channels
- 72 (other)
- Size
- 18.6 GB
- Version
- v1.0.0
- Updated
- Aug 19, 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
- nm000340
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study J)
EEGBigP3BCI Study J is a P300-based brain-computer interface dataset comprising EEG recordings from 20 healthy subjects performing a 9x8 character grid speller task. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects across 20 studies. The data were acquired at 256 Hz using 16-channel EEG with a g.USBamp amplifier and include target and non-target event classifications suitable for machine learning applications.
- Participants
- 20
- Channels
- 16 (10-10)
- HED
- v8.4.0
- Size
- 1.49 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on006839
EEG recordings during sham neurofeedback in virtual reality
EEGThis dataset comprises 32-channel EEG recordings collected during a sham neurofeedback experiment conducted in a virtual reality environment. Participants underwent four conditions—positive feedback, negative feedback, control, and resting-state (eyes open/closed)—designed to examine how feedback valence influences alpha-band activity during an attentional task. The data were originally recorded in NeuroScan .cnt format and converted to BIDS using MNE-BIDS.
- Participants
- 36
- Channels
- 29 (10-10)
- Size
- 10.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000310
Guttmann-Flury et al. 2025 (SSVEP) — Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms
EEGA multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing a 4-class steady-state visually evoked potential (SSVEP) brain-computer interface task. The dataset comprises 3,024 trials across 63 sessions with 66-channel recordings (64 EEG + 1 EOG + 1 stim) at 1000 Hz sampling rate, designed to investigate ocular activity patterns and their relationship to BCI performance across multiple paradigms.
- Participants
- 11
- Channels
- 62 (10-10)
- Citations
- 12
- HED
- v8.4.0
- Size
- 28.6 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on003374
Dataset of neurons and intracranial EEG from human amygdala during aversive dynamic visual stimulation
iEEGThis dataset comprises intracranial EEG recordings and single-unit neuronal activity from the human amygdala of nine epilepsy patients during exposure to dynamic visual stimuli with aversive (fearful faces) and neutral (landscape) content. The recordings enable investigation of amygdalar responses to emotional stimuli across multiple spatial scales, from macroscopic field potentials to microscopic neuronal firing patterns. Data are provided in BIDS format with extended neuronal spike data available in NIX standard.
- Participants
- 9
- Citations
- 25
- Size
- 297 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026