Add streaming example for NWB files from DANDI using Zarr

[bendichter]

Motivation

Cline-assisted

This PR adds documentation for streaming Zarr files from DANDI (Fix #1930). DANDI provides access to large neuroscience datasets, and many of these are stored in Zarr format. Adding a dedicated section to the Zarr I/O tutorial will help users understand how to efficiently stream and process these large datasets without loading them entirely into memory.

The changes add a new section to the existing Zarr I/O tutorial that demonstrates:

• Connecting to DANDI and accessing datasets
• Setting up S3 access for cloud storage
• Efficiently streaming and processing data in chunks
• Proper resource cleanup

How to test the behavior?

1. Install required packages:

pip install pynwb hdmf-zarr dandi s3fs

2. Run the updated Zarr I/O tutorial:

cd docs/gallery/advanced_io
python plot_zarr_io.py

3. Verify that the new DANDI streaming section executes successfully and demonstrates efficient data access patterns.

Changes Made

1. Added new section "Streaming from DANDI" to docs/gallery/advanced_io/plot_zarr_io.py
2. Updated CHANGELOG.md with new documentation addition

Checklist

• Did you update CHANGELOG.md with your changes?
• Have you checked our Contributing document?
• Have you ensured the PR clearly describes the problem and the solution?
• Is your contribution compliant with our coding style? This can be checked running ruff check . && codespell from the source directory.
• Have you checked to ensure that there aren't other open Pull Requests for the same change?
• Have you included the relevant issue number using "Fix [Documentation]: How to stream Zarr files from DANDI #1930" notation?

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 91.73%. Comparing base (bc12931) to head (1328668).

Additional details and impacted files

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  Lines        2722     2722           
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  Hits         2497     2497           
  Misses        149      149           
  Partials       76       76           

Flag	Coverage Δ
integration	72.96% <ø> (ø)
unit	82.29% <ø> (ø)

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