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XDF (.xdf) — Extensible Data Format from LSL recordings
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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 | xdf |
| description | XDF (.xdf) — Extensible Data Format from LSL recordings |
| layer | L0 |
| group | consumer_eeg |
| metadata | {"tags":["io","xdf","lsl","recording","multi_stream"],"formats":[".xdf"],"modalities":["eeg","meg","fnirs","spike"]} |
XDF is the offline storage format for LSL-recorded streams. Stores multiple parallel streams (EEG + Markers + Audio + ...) with per-stream metadata + per-sample timestamps with LSL clock-correction.
Primary: pyxdf.load_xdf(path). EEG-only path: mne.io.read_raw_xdf
(if installed).
pyxdf returns timestamps already clock-corrected
to a common LSL clock; check that the marker stream's timestamps align.- load:xdf,stream=EEG
lsl_stream: live-stream version; XDF is the recorded archive.