NWB Compression Recommendations for DANDI Archive

Mon, 03 Nov 2025 00:00:00 +0000

When submitting large datasets to the DANDI Archive, it’s crucial to consider data compression options that can substantially reduce file sizes. Smaller files reduce the storage burden on the DANDI Archive and make datasets more convenient to download for users. Neurodata Without Borders (NWB) now supports two file format backends: HDF5 and Zarr. Both formats have built-in capabilities for chunking and compression that can break large datasets into smaller pieces and apply lossless compression to each chunk. This approach reduces file size without altering the dataset values.

Hdf5 on DANDI

NWB Compression Recommendations for DANDI Archive