EEGLAB
EEGLAB is an open-source MATLAB environment for processing continuous and event-related EEG, MEG, and related electrophysiological data. It combines an interactive graphical interface with an extensive scripting and plug
Methods
Methods
SCCN develops open, reproducible methods for electrophysiological data: metadata, interoperable formats, preprocessing, source modeling, quality control, data sharing, and large-scale computation.
NEMAR
NEMAR connects BIDS-formatted EEG, MEG, and iEEG datasets with OpenNeuro, quality visualization, and high-performance computing through SDSC and NSG. Browse and search openly shared EEG/MEG/iEEG datasets Validate metadat
HED
Hierarchical Event Descriptors make experimental events machine-actionable and comparable across datasets by adding standardized, extensible event annotation. Visit HED ↗
EEGDash
EEGDash supports programmatic access to EEG datasets for analysis, benchmarking, and machine-learning workflows.
EEGPrep
EEGPrep supports automated, reproducible preprocessing for standardized EEG analysis pipelines.