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The current documentation correctly describes the basic single-scalar HDF5 workflows, but it does not fully or consistently document other functions or complete examples. Specifically, the documentation should be extended to explain:
source_mask_file is currently required for NIfTI cohorts, even when the group mask is reused for every subject.
Wide-format CSVs are supported with --scalar-columns.
Wide and long formats have different default output-splitting behavior.
Multiple scalars can be combined into one output or split into separate outputs.
CIFTI support includes dscalar, pscalar, and pconn workflows.
TileDB is a supported conversion backend with a distinct output layout.
Actual compression defaults and backend-specific compression options.
Actual HDF5 and TileDB metadata locations.
S3 installation, usage, worker configuration, and modality limitations.
export-results reads ModelArray statistical result groups rather than directly exporting imported scalar datasets.
Existing-file overwrite behavior for each exporter.
The expected result matrix shape and result-name lookup behavior.
The current documentation correctly describes the basic single-scalar HDF5 workflows, but it does not fully or consistently document other functions or complete examples. Specifically, the documentation should be extended to explain:
source_mask_fileis currently required for NIfTI cohorts, even when the group mask is reused for every subject.--scalar-columns.export-resultsreads ModelArray statistical result groups rather than directly exporting imported scalar datasets.