DS007602: eeg dataset, 3 subjects#

EEG-Speech Brain Decoding Dataset

Access recordings and metadata through EEGDash.

Citation: Motoshige Sato, Masakazu Inoue, Kenichi Tomeoka, Ilya Horiguchi, Eri Hatakeyama, Yuya Kita, Atsushi Yamamoto, Ippei Fujisawa, Shuntaro Sasai (2026). EEG-Speech Brain Decoding Dataset. 10.18112/openneuro.ds007602.v1.0.1

Modality: eeg Subjects: 3 Recordings: 113 License: CC0 Source: openneuro

Metadata: Complete (100%)

Quickstart#

Install

pip install eegdash

Access the data

from eegdash.dataset import DS007602

dataset = DS007602(cache_dir="./data")
# Get the raw object of the first recording
raw = dataset.datasets[0].raw
print(raw.info)

Filter by subject

dataset = DS007602(cache_dir="./data", subject="01")

Advanced query

dataset = DS007602(
    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{ds007602,
  title = {EEG-Speech Brain Decoding Dataset},
  author = {Motoshige Sato and Masakazu Inoue and Kenichi Tomeoka and Ilya Horiguchi and Eri Hatakeyama and Yuya Kita and Atsushi Yamamoto and Ippei Fujisawa and Shuntaro Sasai},
  doi = {10.18112/openneuro.ds007602.v1.0.1},
  url = {https://doi.org/10.18112/openneuro.ds007602.v1.0.1},
}

About This Dataset#

EEG-Speech Brain Decoding Dataset

Overview

This dataset contains EEG recordings and audio data.

Sessions

View full README

EEG-Speech Brain Decoding Dataset

Overview

This dataset contains EEG recordings and audio data.

Sessions

Sessions are labeled by recording date in YYYYMMDD format. - Example: ses-20240401 = recorded on April 1, 2024

Multiple recordings on the same day are distinguished by run numbers: - run-N: Nth recording of the day

Tasks

  • speechopen: Overt speech production task - Participants vocalize visually presented text

File Format Notes

EEG Data

Raw EEG data is stored: - Path: sub-*/ses-*/eeg/*_eeg.edf - Note: EDF format is not officially part of BIDS-EEG specification - Files are excluded in .bidsignore but documented here for reference - Future releases may include EDF conversions for full BIDS compliance

Behavioral Data (Audio)

Vocal recordings are stored in beh/ directories: - Path: sub-*/ses-*/beh/*_recording-vocal_beh.wav - Note: Not officially part of BIDS-EEG spec, but included for analysis convenience - Excluded in .bidsignore

Directory Structure

dataset_root/

├── README                          (this file)
├── CHANGES                         (version history)
├── dataset_description.json        (dataset metadata)
├── participants.tsv                (participant information)
├── participants.json               (participant column descriptions)
├── task-speechopen_eeg.json        (task-level EEG metadata)
├── task-speechopen_events.json     (events column descriptions)
├── .bidsignore                     (files to ignore in validation)
│
├── code/                           (analysis and preprocessing code)
│   ├── preprocessing/              (EEG and audio preprocessing)
│   ├── training/                   (model training scripts)
│   ├── evaluation/                 (evaluation metrics)
│   └── bids/                       (BIDS conversion scripts)
│
├── sub-01/                         (participant data)
│   └── ses-YYYYMMDD/              (session by date)
│       ├── eeg/                    (EEG recordings)
│       └── beh/                    (behavioral/audio data)
│
└── derivatives/                    (processed data)
    └── pipeline-standard/          (standard preprocessing)

Dataset Information#

Dataset ID

DS007602

Title

EEG-Speech Brain Decoding Dataset

Author (year)

Sato2026_Speech

Canonical

Sato2024

Importable as

DS007602, Sato2026_Speech, Sato2024

Year

2026

Authors

Motoshige Sato, Masakazu Inoue, Kenichi Tomeoka, Ilya Horiguchi, Eri Hatakeyama, Yuya Kita, Atsushi Yamamoto, Ippei Fujisawa, Shuntaro Sasai

License

CC0

Citation / DOI

doi:10.18112/openneuro.ds007602.v1.0.1

Source links

OpenNeuro | NeMAR | Source URL
Copy-paste BibTeX
@dataset{ds007602,
  title = {EEG-Speech Brain Decoding Dataset},
  author = {Motoshige Sato and Masakazu Inoue and Kenichi Tomeoka and Ilya Horiguchi and Eri Hatakeyama and Yuya Kita and Atsushi Yamamoto and Ippei Fujisawa and Shuntaro Sasai},
  doi = {10.18112/openneuro.ds007602.v1.0.1},
  url = {https://doi.org/10.18112/openneuro.ds007602.v1.0.1},
}

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: 3

  • Recordings: 113

  • Tasks: 1

Channels & sampling rate

  • Channels: 134

  • Sampling rate (Hz): 1200.0

  • Duration (hours): 44.18638888888889

Tags

  • Pathology: Healthy

  • Modality: Visual

  • Type: Motor

Files & format

  • Size on disk: 49.6 GB

  • File count: 113

  • Format: BIDS

License & citation

  • License: CC0

  • DOI: doi:10.18112/openneuro.ds007602.v1.0.1

Provenance

API Reference#

Use the DS007602 class to access this dataset programmatically.

class eegdash.dataset.DS007602(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#

Bases: EEGDashDataset

EEG-Speech Brain Decoding Dataset

Study:

ds007602 (OpenNeuro)

Author (year):

Sato2026_Speech

Canonical:

Sato2024

Also importable as: DS007602, Sato2026_Speech, Sato2024.

Modality: eeg; Experiment type: Motor; Subject type: Healthy. Subjects: 3; recordings: 113; tasks: 1.

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/ds007602 NeMAR dataset: https://nemar.org/dataexplorer/detail?dataset_id=ds007602 DOI: https://doi.org/10.18112/openneuro.ds007602.v1.0.1

Examples

>>> from eegdash.dataset import DS007602
>>> dataset = DS007602(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#