dataset_id stringclasses 1
value | title stringclasses 1
value | source stringclasses 1
value | source_url stringclasses 1
value | doi stringclasses 1
value | license stringclasses 1
value | loader dict | catalog stringclasses 1
value | generated_by stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|
nm000238 | SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG of 85 Participants | nemar | https://openneuro.org/datasets/nm000238 | 10.48804/K3VSND | Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0) for the EEG data. Stimuli can only be used for non-commercial purposes. | {
"library": "eegdash",
"class": "EEGDashDataset",
"kwargs": {
"dataset": "nm000238"
}
} | https://huggingface.co/spaces/EEGDash/catalog | huggingface-space/scripts/push_metadata_stubs.py |
SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG of 85 Participants
Dataset ID: nm000238
Accou2024
At a glance: EEG · 87 subjects · 4088 recordings · Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0) for the EEG data. Stimuli can only be used for non-commercial purposes.
Load this dataset
This repo is a pointer. The raw EEG data lives at its canonical source (OpenNeuro / NEMAR); EEGDash streams it on demand and returns a PyTorch / braindecode dataset.
# pip install eegdash
from eegdash import EEGDashDataset
ds = EEGDashDataset(dataset="nm000238", cache_dir="./cache")
print(len(ds), "recordings")
If the dataset has been mirrored to the HF Hub in braindecode's Zarr layout, you can also pull it directly:
from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/nm000238")
Dataset metadata
| Subjects | 87 |
| Recordings | 4088 |
| Tasks (count) | 366 |
| Channels | 64 (×1) |
| Sampling rate (Hz) | 8192 (×1) |
| Size on disk | Unknown |
| Recording type | EEG |
| Source | nemar |
| 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. |
Links
- DOI: 10.48804/K3VSND
- NEMAR: nm000238
- Browse 700+ datasets: EEGDash catalog
- Docs: https://eegdash.org
- Code: https://github.com/eegdash/EEGDash
Auto-generated from dataset_summary.csv and the EEGDash API. Do not edit this file by hand — update the upstream source and re-run scripts/push_metadata_stubs.py.
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