Add Support for NWB
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Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 35/100
Research direction
Start with the linked gist, the BaseRaw subclass work, and the pynwb documentation to understand the proposed NWB reader. Focus first on the read_segment_file() challenge and how the requested RawNWB object or read_raw_nwb() function should handle the described streams. Done means MNE can read NWB files through the new reader.
Written by the indexing model from the issue text.
Description
Hi,
I've been working on creating a new subclass of BaseRaw that can read from a NWB file. These are organized hdf files that can store multiple types of data streams including those with different sampling rates, sizes from different sources (such as eye-tracking, seeg, scalp eeg, audio etc.). Because they're hdf files they have lazy loading. It would be nice to have a RawNWB object and/or a read_raw_nwb() function so that MNE can work with these types of files. Attached is a link to a gist I made with some example code for reading/writing NWB files (Part 1) and some code snippets I've made to get started with creating a RawNWB object (Part 2). The thing I mostly struggling with is creating the read_segment_file() function. Any insight or help would be greatly appreciated.
https://gist.github.com/sportnoah14/b74f1226c09bd79aa7f7ec7b11af80c9
- Dominant language
- Python
- Stars
- 3.5k
- Forks
- 1.6k
- Avg merge
- 1d 6h
- Merged PRs (30d)
- 100
Contributor guide
First steps
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- Open a pull request that references the issue number.
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