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 |
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ds004752 | Dataset of intracranial EEG, scalp EEG and beamforming sources from epilepsy patients performing a verbal working memory task | openneuro | https://openneuro.org/datasets/ds004752 | 10.18112/openneuro.ds004752.v1.0.1 | CC0 | {
"library": "eegdash",
"class": "EEGDashDataset",
"kwargs": {
"dataset": "ds004752"
}
} | https://huggingface.co/spaces/EEGDash/catalog | huggingface-space/scripts/push_metadata_stubs.py |
Dataset of intracranial EEG, scalp EEG and beamforming sources from epilepsy patients performing a verbal working memory task
Dataset ID: ds004752
Dimakopoulos2023_intracranial
At a glance: EEG, IEEG · 15 subjects · 136 recordings · CC0
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="ds004752", 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/ds004752")
Dataset metadata
| Subjects | 15 |
| Recordings | 136 |
| Tasks (count) | 1 |
| Channels | 64 (×34), 8 (×16), 20 (×15), 21 (×14), 19 (×10), 10 (×7), 46 (×6), 68 (×6), 36 (×6), 23 (×6), 62 (×4), 48 (×4), 32 (×3), 40 (×3), 80 (×2) |
| Sampling rate (Hz) | 2000 (×40), 4000 (×40), 200 (×36), 4096 (×20) |
| Total duration (h) | 0.3 |
| Size on disk | 10.2 GB |
| Recording type | EEG, IEEG |
| Source | openneuro |
| License | CC0 |
| NEMAR citations | 4.0 |
Links
- DOI: 10.18112/openneuro.ds004752.v1.0.1
- OpenNeuro: ds004752
- 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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