NM000238: eeg dataset, 87 subjects#

SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG of 85 Participants

Access recordings and metadata through EEGDash.

Citation: Bernd Accou, Lies Bollens, Marlies Gillis, Wendy Verheijen, Hugo Van hamme, Tom Francart (2024). SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG of 85 Participants. 10.48804/K3VSND

Modality: eeg Subjects: 87 Recordings: 4088 License: Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0) for the EEG data. Stimuli can only be used for non-commercial purposes. Source: nemar

Metadata: Complete (100%)

Quickstart#

Install

pip install eegdash

Access the data

from eegdash.dataset import NM000238

dataset = NM000238(cache_dir="./data")
# Get the raw object of the first recording
raw = dataset.datasets[0].raw
print(raw.info)

Filter by subject

dataset = NM000238(cache_dir="./data", subject="01")

Advanced query

dataset = NM000238(
    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{nm000238,
  title = {SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG of 85 Participants},
  author = {Bernd Accou and Lies Bollens and Marlies Gillis and Wendy Verheijen and Hugo Van hamme and Tom Francart},
  doi = {10.48804/K3VSND},
  url = {https://doi.org/10.48804/K3VSND},
}

About This Dataset#

IMPORTANT — RESTRICTED SUBJECTS EXCLUDED FROM NEMAR RE-HOST

IMPORTANT — 5 of the 85 original subjects (sub-019, sub-020, sub-021, sub-022, sub-026) are EXCLUDED from this NEMAR re-host because their raw EEG files are access-restricted on the KU Leuven Dataverse (HTTP 403 on download without a data-use agreement). Researchers who need these subjects should email sparrkulee@kuleuven.be to request access and download the data directly from https://rdr.kuleuven.be/dataset.xhtml?persistentId=doi:10.48804/K3VSND (DOI 10.48804/K3VSND). The re-host therefore contains 80 of the original 85 subjects, covering all 11 session types (shortstories01, varyingStories01..10).

Excluded subjects: sub-019, sub-020, sub-021, sub-022, sub-026

Cohort demographics

View full README

IMPORTANT — RESTRICTED SUBJECTS EXCLUDED FROM NEMAR RE-HOST

IMPORTANT — 5 of the 85 original subjects (sub-019, sub-020, sub-021, sub-022, sub-026) are EXCLUDED from this NEMAR re-host because their raw EEG files are access-restricted on the KU Leuven Dataverse (HTTP 403 on download without a data-use agreement). Researchers who need these subjects should email sparrkulee@kuleuven.be to request access and download the data directly from https://rdr.kuleuven.be/dataset.xhtml?persistentId=doi:10.48804/K3VSND (DOI 10.48804/K3VSND). The re-host therefore contains 80 of the original 85 subjects, covering all 11 session types (shortstories01, varyingStories01..10).

Excluded subjects: sub-019, sub-020, sub-021, sub-022, sub-026

Cohort demographics

Cohort demographics (from Accou et al., Data 2024, 9, 94, Section 2.1): 85 original participants, 74 female / 11 male, aged 21.4 ± 1.9 years (mean ± SD), inclusion window 18-30 years, all normal-hearing (≤30 dB HL, 125-8000 Hz), native Dutch/Flemish speakers. Per-subject numeric ages are not published by the SparrKULee authors for privacy reasons; participants.tsv only ships 3-year binned ages in the age_range column (see participants.json for details).

How to cite

Please cite the original SparrKULee data descriptor when using this dataset: Accou, B., Bollens, L., Gillis, M., Verheijen, W., Van hamme, H., & Francart, T. (2024). SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG of 85 Participants. Data, 9(8), 94. https://doi.org/10.3390/data9080094

Where extra metadata lives (after NEMAR preparation)

  • /code/task-listeningActive_eeg.json — full recording-level EEG metadata (SamplingFrequency, Manufacturer, EEGChannelCount, EEGReference, PowerLineFrequency, …). Relocated from the dataset root because the validator does not match the orphan top-level sidecar against the .bdf.gz data files.

  • /code/remarks/ — per-session free-form recording notes (.txt and .docx) originally placed under sub-XX/ses-YY/remarks/. Relocated so the validator does not see an arbitrary remarks/ folder inside BIDS session directories.

  • /code/convert_accou2023.py — the exact script that was run to produce this NEMAR re-host.

README

__SparrKULee__: A Speech-evoked Auditory Response Repository of the KU Leuven, containing EEG of 85 participants

Overview

An overview of the dataset including details about the filetypes, methods and technical validation can be found in [our paper]()

Notes

Code to download, preprocess and validate the data can be found at https://github.com/exporl/auditory-eeg-dataset.

Due to mistakes during recording, following recordings do not have an adequate number of triggers and can therefore not be accurately aligned with the stimulus:

  1. sub-006/ses-shortstories01/eeg/sub-006_ses-shortstories01_task-listeningActive_run-06_eeg.bdf.gz

  2. sub-017/ses-shortstories01/eeg/sub-017_ses-shortstories01_task-listeningActive_run-03_eeg.bdf.gz

  3. sub-048/ses-varyingStories05/eeg/sub-048_ses-varyingStories05_task-listeningActive_run-04_eeg.bdf.gz

Dataset Information#

Dataset ID

NM000238

Title

SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG of 85 Participants

Author (year)

Accou2024

Canonical

—

Importable as

NM000238, Accou2024

Year

2024

Authors

Bernd Accou, Lies Bollens, Marlies Gillis, Wendy Verheijen, Hugo Van hamme, Tom Francart

License

Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0) for the EEG data. Stimuli can only be used for non-commercial purposes.

Citation / DOI

doi:10.48804/K3VSND

Source links

OpenNeuro | NeMAR | Source URL
Copy-paste BibTeX
@dataset{nm000238,
  title = {SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG of 85 Participants},
  author = {Bernd Accou and Lies Bollens and Marlies Gillis and Wendy Verheijen and Hugo Van hamme and Tom Francart},
  doi = {10.48804/K3VSND},
  url = {https://doi.org/10.48804/K3VSND},
}

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: 87

  • Recordings: 4088

  • Tasks: 366

Channels & sampling rate

  • Channels: 64

  • Sampling rate (Hz): 8192

  • Duration (hours): Not calculated

Tags

  • Pathology: Not specified

  • Modality: —

  • Type: —

Files & format

  • Size on disk: —

  • File count: 4088

  • Format: BIDS

License & citation

  • License: Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0) for the EEG data. Stimuli can only be used for non-commercial purposes.

  • DOI: doi:10.48804/K3VSND

Provenance

API Reference#

Use the NM000238 class to access this dataset programmatically.

class eegdash.dataset.NM000238(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#

Bases: EEGDashDataset

SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG of 85 Participants

Study:

nm000238 (NeMAR)

Author (year):

Accou2024

Canonical:

—

Also importable as: NM000238, Accou2024.

Modality: eeg. Subjects: 87; recordings: 4088; tasks: 366.

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/nm000238 NeMAR dataset: https://nemar.org/dataexplorer/detail?dataset_id=nm000238 DOI: https://doi.org/10.48804/K3VSND

Examples

>>> from eegdash.dataset import NM000238
>>> dataset = NM000238(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#