DS005420#

Resting state EEG with closed eyes and open eyes in females from 60 to 80 years old

Access recordings and metadata through EEGDash.

Citation: Miriam de Jesús Sánchez Gama, Luis Alberto Barradas Chacón, Leticia Chacón Gutiérrez, Thalía Fernández Harmony, Carlos Augusto Novo Olivas, José María De La Roca Chiapas (2024). Resting state EEG with closed eyes and open eyes in females from 60 to 80 years old. 10.18112/openneuro.ds005420.v1.0.0

Modality: eeg Subjects: 37 Recordings: 258 License: CC0 Source: openneuro Citations: 0.0

Metadata: Complete (100%)

Quickstart#

Get Started

Install

pip install eegdash

Access the data

from eegdash.dataset import DS005420

dataset = DS005420(cache_dir="./data")
# Get the raw object of the first recording
raw = dataset.datasets[0].raw
print(raw.info)

Query & Filter

Filter by subject

dataset = DS005420(cache_dir="./data", subject="01")

Advanced query

dataset = DS005420(
    cache_dir="./data",
    query={"subject": {"$in": ["01", "02"]}},
)

Iterate recordings

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

Cite This Dataset

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

BibTeX

@dataset{ds005420,
  title = {Resting state EEG with closed eyes and open eyes in females from 60 to 80 years old},
  author = {Miriam de Jesús Sánchez Gama and Luis Alberto Barradas Chacón and Leticia Chacón Gutiérrez and Thalía Fernández Harmony and Carlos Augusto Novo Olivas and José María De La Roca Chiapas},
  doi = {10.18112/openneuro.ds005420.v1.0.0},
  url = {https://doi.org/10.18112/openneuro.ds005420.v1.0.0},
}

About This Dataset#

References

Appelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Höchenberger, R., Welke, D., Brunner, C., Rockhill, A., Larson, E., Gramfort, A. and Jas, M. (2019). MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software 4: (1896). https://doi.org/10.21105/joss.01896

Pernet, C. R., Appelhoff, S., Gorgolewski, K. J., Flandin, G., Phillips, C., Delorme, A., Oostenveld, R. (2019). EEG-BIDS, an extension to the brain imaging data structure for electroencephalography. Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104-8

Dataset Information#

Dataset ID	`DS005420`
Title	Resting state EEG with closed eyes and open eyes in females from 60 to 80 years old
Year	2024
Authors	Miriam de Jesús Sánchez Gama, Luis Alberto Barradas Chacón, Leticia Chacón Gutiérrez, Thalía Fernández Harmony, Carlos Augusto Novo Olivas, José María De La Roca Chiapas
License	CC0
Citation / DOI	doi:10.18112/openneuro.ds005420.v1.0.0
Source links	OpenNeuro \| NeMAR \| Source URL

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: 37
Recordings: 258
Tasks: 2

Channels & sampling rate

Channels: 20
Sampling rate (Hz): 500.0
Duration (hours): 0.0

API Reference#

Use the DS005420 class to access this dataset programmatically.

class eegdash.dataset.DS005420(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#

Bases: EEGDashDataset

OpenNeuro dataset ds005420. Modality: eeg; Experiment type: Unknown; Subject type: Unknown. Subjects: 37; recordings: 72; tasks: 2.

Parameters:

cache_dir (str | Path) – Directory where data are cached locally.
query (dict | None) – Additional MongoDB-style filters to AND with the dataset selection. Must not contain the key dataset.
s3_bucket (str | None) – Base S3 bucket used to locate the data.
**kwargs (dict) – Additional keyword arguments forwarded to EEGDashDataset.

data_dir#

Local dataset cache directory (cache_dir / dataset_id).

Type:: Path

query#

Merged query with the dataset filter applied.

Type:: dict

records#

Metadata records used to build the dataset, if pre-fetched.

Type:: list[dict] | None

Notes

Each item is a recording; recording-level metadata are available via dataset.description. query supports MongoDB-style filters on fields in ALLOWED_QUERY_FIELDS and is combined with the dataset filter. Dataset-specific caveats are not provided in the summary metadata.

References

OpenNeuro dataset: https://openneuro.org/datasets/ds005420 NeMAR dataset: https://nemar.org/dataexplorer/detail?dataset_id=ds005420

Examples

>>> from eegdash.dataset import DS005420
>>> dataset = DS005420(cache_dir="./data")
>>> recording = dataset[0]
>>> raw = recording.load()

__init__(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#

save(path, overwrite=False)[source]#

Save the dataset to disk.

Parameters:

path (str or Path) – Destination file path.
overwrite (bool, default False) – If True, overwrite existing file.

Return type:

None