neuralfetch.download.Eegdash¶

pydantic model neuralfetch.download.Eegdash[source][source]¶

Download datasets from the EEGDash cloud archive.

Thin wrapper over eegdash.EEGDashDataset: record discovery, NEMAR git-annex resolution, the anonymous s3fs transfer of recordings, and sidecar fetching (from data.nemar.org via nemar-py) are all delegated to eegdash’s download_all.

Parameters:

study (str) – Dataset identifier (e.g. "ds002718").
dset_dir (PathLike) – Root directory for the study.
database (str) – EEGDash database to query ("eegdash", "eegdash_staging", …).
subject (str | list[str] | None) – Restrict the download to these BIDS subject labels; None fetches the whole dataset. A list is sent to eegdash as an $in filter.

Fields:

database (str)
subject (str | list[str] | None)

requirements: ClassVar[tuple[str, ...]] = ('eegdash>=0.8.2',)[source]¶

field database: str = 'eegdash'[source]¶

field subject: str | list[str] | None = None[source]¶

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