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Test file required for mne-tools/mne-python#13408.

Some fNIRS data was recorded using a Shimadzu Labnirs device, then exported using the proprietary Labnirs software to a text file, which was then converted to .snirf with a custom converter (https://github.com/zEdS15B3GCwq/labnirs2snirf).

The data has 45 columns (15 S-D pairs * 3 wavelengths) and 250 time points. With a sampling rate around 20 Hz (19.6) the filter used in the scalp-coupling index calculation is >210 points long, so it's better to have more points than that to avoid a warning (and failed tests as a result).

Optode positions are "fake": optodes i and i+1 are 1 cm apart for the same types of optodes, and source i is 3 cm away from detector i.

Besides being unusual for having 3 wavelengths, another perhaps atypical feature is that the S-D pairs are not in increasing order: the first pair is S2-D2, then S1-S2, S1-D1, S9-D1, etc. This does not seem to cause any issues with processing.

The file is (to my knowledge) fully compliant with the SNIRF standard.

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You can use any license you wish.

@larsoner larsoner merged commit 65990cf into mne-tools:master Jan 6, 2026
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larsoner commented Jan 6, 2026

https://github.com/mne-tools/mne-testing-data/releases/tag/0.171

MD5: 138caf29bd8a9b0a6b6ea43d92c16201

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2 participants