SeizeIT2: EEG dataset#

Dataset from OpenNeuro.

Access recordings and metadata through EEGDash.

Citation: Unknown (—). **.

Modality: — Subjects: — Recordings: — License: — Source: OpenNeuro

Metadata: Limited (0%)

Quickstart#

Install

pip install eegdash

Access the data

from eegdash.dataset import SeizeIT2

dataset = SeizeIT2(cache_dir="./data")
# Get the raw object of the first recording
raw = dataset.datasets[0].raw
print(raw.info)

Filter by subject

dataset = SeizeIT2(cache_dir="./data", subject="01")

Advanced query

dataset = SeizeIT2(
    cache_dir="./data",
    query={"subject": {"$in": ["01", "02"]}},
)

Iterate recordings

for rec in dataset:
    print(rec.subject, rec.raw.info['sfreq'])

If you use this dataset in your research, please cite the original authors.

BibTeX

@dataset{seizeit2,
}

About This Dataset#

No README content is available for this dataset.

Dataset Information#

Dataset ID

SEIZEIT2

Title

—

Author (year)

—

Canonical

—

Importable as

SEIZEIT2

Year

—

Authors

Unknown

License

—

Citation / DOI

Unknown

Source links

OpenNeuro | NeMAR

Found an issue with this dataset?

If you encounter any problems with this dataset (missing files, incorrect metadata, loading errors, etc.), please let us know!

Report an Issue on GitHub

Technical Details#

Subjects & recordings

  • Subjects: —

  • Recordings: —

  • Tasks: —

Channels & sampling rate

  • Channels: Varies

  • Sampling rate (Hz): Varies

  • Duration (hours): Not calculated

Tags

  • Pathology: Not specified

  • Modality: —

  • Type: —

Files & format

  • Size on disk: —

  • File count: —

  • Format: BIDS

License & citation

  • License: See source

  • DOI: —

Provenance

API Reference#

Use the SeizeIT2 class to access this dataset programmatically.

eegdash.dataset.SeizeIT2[source]#

alias of DS005873

See Also#