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
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ds005083 | Safety and Accuracy of Stereoelectroencephalography for Pediatric Patients with Prior Craniotomy | openneuro | https://openneuro.org/datasets/ds005083 | 10.18112/openneuro.ds005083.v1.0.0 | CC0 | {
"library": "eegdash",
"class": "EEGDashDataset",
"kwargs": {
"dataset": "ds005083"
}
} | https://huggingface.co/spaces/EEGDash/catalog | huggingface-space/scripts/push_metadata_stubs.py |
Safety and Accuracy of Stereoelectroencephalography for Pediatric Patients with Prior Craniotomy
Dataset ID: ds005083
Yang2024
At a glance: IEEG · Unknown clinical/intervention · surgery · 61 subjects · 1357 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="ds005083", 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/ds005083")
Dataset metadata
| Subjects | 61 |
| Recordings | 1357 |
| Tasks (count) | 3 |
| Channels | 105 (×2), 114 (×2), 150 (×1), 102 (×1), 99 (×1), 62 (×1), 98 (×1), 148 (×1), 166 (×1), 138 (×1), 124 (×1), 129 (×1), 61 (×1), 117 (×1), 83 (×1), 230 (×1), 144 (×1), 95 (×1), 100 (×1), 134 (×1), 132 (×1), 112 (×1), 73 (×1), 123 (×1), 93 (×1), 152 (×1), 65 (×1), 103 (×1) |
| Size on disk | 281.7 KB |
| Recording type | IEEG |
| Experimental modality | Unknown |
| Paradigm type | Clinical/Intervention |
| Population | Surgery |
| Source | openneuro |
| License | CC0 |
Links
- DOI: 10.18112/openneuro.ds005083.v1.0.0
- OpenNeuro: ds005083
- 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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