DS007554: eeg, fnirs dataset, 30 subjects#

Multimodal dataset from the CMx7-MM Experiment

Access recordings and metadata through EEGDash.

Citation: Zaineb Ajra, Grégoire Vergotte, Stéphane Perrey, Lilian Evra, Simon Pla, Gérard Dray, Jacky Montmain, Binbin Xu (2026). Multimodal dataset from the CMx7-MM Experiment. 10.18112/openneuro.ds007554.v1.0.0

Modality: eeg, fnirs Subjects: 30 Recordings: 1034 License: CC0 Source: openneuro

Metadata: Complete (90%)

Quickstart#

Install

pip install eegdash

Access the data

from eegdash.dataset import DS007554

dataset = DS007554(cache_dir="./data")
# Get the raw object of the first recording
raw = dataset.datasets[0].raw
print(raw.info)

Filter by subject

dataset = DS007554(cache_dir="./data", subject="01")

Advanced query

dataset = DS007554(
    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{ds007554,
  title = {Multimodal dataset from the CMx7-MM Experiment},
  author = {Zaineb Ajra and Grégoire Vergotte and Stéphane Perrey and Lilian Evra and Simon Pla and Gérard Dray and Jacky Montmain and Binbin Xu},
  doi = {10.18112/openneuro.ds007554.v1.0.0},
  url = {https://doi.org/10.18112/openneuro.ds007554.v1.0.0},
}

About This Dataset#

No README content is available for this dataset.

Dataset Information#

Dataset ID

DS007554

Title

Multimodal dataset from the CMx7-MM Experiment

Author (year)

Ajra2026

Canonical

—

Importable as

DS007554, Ajra2026

Year

2026

Authors

Zaineb Ajra, Grégoire Vergotte, Stéphane Perrey, Lilian Evra, Simon Pla, Gérard Dray, Jacky Montmain, Binbin Xu

License

CC0

Citation / DOI

doi:10.18112/openneuro.ds007554.v1.0.0

Source links

OpenNeuro | NeMAR | Source URL
Copy-paste BibTeX
@dataset{ds007554,
  title = {Multimodal dataset from the CMx7-MM Experiment},
  author = {Zaineb Ajra and Grégoire Vergotte and Stéphane Perrey and Lilian Evra and Simon Pla and Gérard Dray and Jacky Montmain and Binbin Xu},
  doi = {10.18112/openneuro.ds007554.v1.0.0},
  url = {https://doi.org/10.18112/openneuro.ds007554.v1.0.0},
}

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: 30

  • Recordings: 1034

  • Tasks: 7

Channels & sampling rate

  • Channels: 32

  • Sampling rate (Hz): 10.0 (519), 250.002243692634 (26), 250.00227279699027 (13), 250.00027916425347 (12), 250.00220003611236 (12), 250.0003082681523 (10), 250.00206906663882 (7), 250.0003344161922 (7), 250.0022582448113 (7), 249.99969708769964 (7), 250.00079612894984 (7), 250.0003892134066 (7), 250.0009023984434 (7), 249.9997989509009 (7), 250.0001952063645 (7), 250.0004683397171 (7), 250.0001184960745 (7), 250.00098976743945 (7), 250.00004633330667 (7), 250.00197788831903 (7), 250.00085794657687 (7), 250.00092087268928 (7), 250.0006918490773 (7), 250.00020640453602 (7), 250.0009635339967 (7), 249.99990081418517 (7), 249.99995902181342 (7), 250.00038784916032 (7), 250.00028848659534 (7), 250.0007861528667 (7), 250.0003228201043 (7), 249.99991536608968 (7), 250.00119525819466 (7), 250.00208361879578 (7), 249.99972619146294 (7), 250.00217093177304 (7), 250.00094787351506 (6), 250.0020981709544 (6), 249.99996084080226 (6), 250.00055565156606 (6), 250.0004374167852 (6), 250.00064410035029 (6), 250.00228734917093 (6), 250.00205451448358 (6), 250.00056292755625 (6), 250.0006486478473 (6), 250.00001813896364 (6), 250.00026461230658 (6), 250.00067934345654 (6), 250.0002209564761 (6), 250.00218548394184 (6), 250.00074721488596 (6), 250.00023550841792 (6), 250.00157429431061 (6), 250.0001383628698 (6), 250.00057674056998 (6), 250.0009258749471 (6), 250.00077165770458 (6), 250.00231645353733 (6), 250.0006891205781 (6), 250.00080547975216 (6), 250.0004249680335 (6), 250.00278212432153 (6), 250.00195992551573 (6), 250.0008785240374 (5), 250.00310227399197 (5), 250.00043923578096 (5), 250.00045378774817 (5), 250.00042468381545 (5), 250.00072163519718 (5), 250.00041013185162 (5), 249.99993719394965 (4), 250.00224414738952 (4), 250.0004295723662 (3), 250.00074846544865 (3), 249.99984988253266 (3), 249.99994446990382 (3), 250.0005021616826 (3), 250.00218593869715 (2), 250.00059930751343 (2), 250.00041146767637 (2)

  • Duration (hours): 61.88401802488944

Tags

  • Pathology: Healthy

  • Modality: —

  • Type: Other

Files & format

  • Size on disk: 4.2 GB

  • File count: 1034

  • Format: BIDS

License & citation

  • License: CC0

  • DOI: doi:10.18112/openneuro.ds007554.v1.0.0

Provenance

API Reference#

Use the DS007554 class to access this dataset programmatically.

class eegdash.dataset.DS007554(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#

Bases: EEGDashDataset

Multimodal dataset from the CMx7-MM Experiment

Study:

ds007554 (OpenNeuro)

Author (year):

Ajra2026

Canonical:

—

Also importable as: DS007554, Ajra2026.

Modality: eeg, fnirs; Experiment type: Other; Subject type: Healthy. Subjects: 30; recordings: 1034; tasks: 7.

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/ds007554 NeMAR dataset: https://nemar.org/dataexplorer/detail?dataset_id=ds007554 DOI: https://doi.org/10.18112/openneuro.ds007554.v1.0.0

Examples

>>> from eegdash.dataset import DS007554
>>> dataset = DS007554(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

See Also#