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MATLAB .mat — generic MATLAB array container (v5 / v7 / v7.3)
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Neurodata Without Borders (.nwb) — the de-facto standard for in-vivo electrophysiology (Neuropixels / AIBS / DANDI / IBL)
Index of L0 data-format loader skills by family
Index of all L2 paradigm skills by group + analysis_goal → paradigm matrix
Two-phase BCI data preprocessing pipeline: deep-inspect → plan → propose → user confirm → automated code/execute/QC/export
BIDS-iEEG sidecar (*_channels.tsv / *_electrodes.tsv / *_coordsystem.json / *_ieeg.json) — clinical sEEG / ECoG standard
Multiscale Electrophysiology Format v3 (Mayo Clinic) — long-duration encrypted sEEG
| name | mat |
| description | MATLAB .mat — generic MATLAB array container (v5 / v7 / v7.3) |
| layer | L0 |
| group | consumer_eeg |
| metadata | {"tags":["io","mat","matlab","hdf5","generic"],"formats":[".mat"],"modalities":["eeg","meg","seeg","ecog","fnirs","lfp","spike"]} |
.mat files: MATLAB native — v5/v6 (proprietary), v7 (compressed), v7.3
(HDF5-based). Common in legacy EEG / decoding code that started in
MATLAB.
scipy.io.loadmat(path).h5py.File(path) or mat73 PyPI package.scipy.io.matlab.whosmat..mat is a dict-of-variables; user must
identify which variable holds the data.- load:mat,varname=USER_PROVIDED,sfreq=USER_PROVIDED
save / load v7.3 spec.scipy.io.loadmat.eeglab_set: EEGLAB-specific .set is a structured .mat.csv_npy: scientific-Python flat arrays.