Alljoined-1.6M
- Participants
- 20
- Channels
- 32 (10-10)
- Citations
- 1
- Size
- 7.75 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "EEG-BIDS" · page 6 of 10 · ranked by relevance
…Each *eeg.edf file contains continuous EEG data during the working memory…
Imported from OpenNeuro ds004850
The HID dataset is a neuroimaging collection of intracranial electroencephalography (iEEG) recordings curated and formatted according to BIDS standards (version 1.8.0). This dataset is derived from OpenNeuro dataset ds004851 (DOI: 10.18112/openneuro.ds004851.v2.1.0) and serves as a resource for neuroscience research on electrophysiological brain activity. The dataset is made available under the CC0 license to facilitate open science and data sharing. It contains iEEG recordings with associated metadata documenting electrode placement, recording parameters, sampling rates, and brain regions of interest.
…Converted to BIDS using MNE-BIDS (Appelhoff et al., 2019; Niso et…
…EEG-BIDS, an extension to the brain imaging data structure for electroencephalography…
BCIComp2020UpperLimb is a preprocessed EEG dataset from BCI Competition 2020 Track 4 containing motor imagery recordings of three grasping tasks (cylindrical, spherical, lumbrical) from 15 healthy subjects across three sessions. The dataset comprises 60-channel EEG data sampled at 250 Hz with 450 trials per subject (150 trials per session across 3 sessions), designed to evaluate session-to-session transfer learning in brain-computer interface applications. Data were preprocessed with 60 Hz notch filtering and cue-aligned epoching, with the 4-second motor imagery window extracted for analysis.
The PURSUE N2pc Visual Search dataset comprises event-related potential (ERP) recordings from a visual search task conducted across three undergraduate institutions. Data were collected from participants in 2017-2018 and represent a component of the ERP CORE resource for standardized human electrophysiological research. The dataset includes demographic information and is designed to facilitate investigation of the N2pc component, a neural marker of attentional selection during visual search.
EmoEEG-MC is a multi-context emotional EEG dataset comprising 64-channel EEG and peripheral physiological recordings (PPG, GSR) from 60 participants exposed to video-induced and imagery-induced emotional stimuli. Seven emotion categories (joy, inspiration, tenderness, fear, disgust, sadness, neutral) were evoked and validated through subjective reports, enabling investigation of cross-context emotion decoding. The dataset supports research on neural mechanisms of emotion and generalization of affective computing models across contexts.
…EEG-BIDS, an extension to the brain imaging data structure for electroencephalography…