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 |
|---|---|---|---|---|---|---|---|---|
ds005411 | Free Recall of Word Lists with Repeated Items | openneuro | https://openneuro.org/datasets/ds005411 | 10.18112/openneuro.ds005411.v1.0.0 | CC0 | {
"library": "eegdash",
"class": "EEGDashDataset",
"kwargs": {
"dataset": "ds005411"
}
} | https://huggingface.co/spaces/EEGDash/catalog | huggingface-space/scripts/push_metadata_stubs.py |
Free Recall of Word Lists with Repeated Items
Dataset ID: ds005411
Herrema2024_Free
At a glance: IEEG · Visual memory · epilepsy · 47 subjects · 193 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="ds005411", 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/ds005411")
Dataset metadata
| Subjects | 47 |
| Recordings | 193 |
| Tasks (count) | 1 |
| Channels | 120 (×12), 118 (×10), 109 (×9), 153 (×7), 168 (×7), 122 (×6), 116 (×6), 126 (×6), 110 (×6), 182 (×5), 106 (×5), 192 (×4), 115 (×4), 169 (×4), 211 (×4), 108 (×4), 200 (×4), 167 (×4), 134 (×4), 155 (×4), 152 (×4), 133 (×3), 132 (×3), 105 (×3), 127 (×3), 141 (×3), 121 (×3), 184 (×2), 166 (×2), 44 (×2), 55 (×2), 186 (×2), 213 (×2), 187 (×2), 99 (×2), 173 (×2), 181 (×2), 96 (×2), 160 (×2), 94 (×2), 195 (×2), 140 (×2), 84 (×2), 154 (×1), 98 (×1), 230 (×1), 107 (×1), 159 (×1), 111 (×1), 138 (×1), 236 (×1), 123 (×1), 158 (×1), 210 (×1), 202 (×1), 128 (×1), 101 (×1), 232 (×1), 176 (×1), 165 (×1), 218 (×1), 239 (×1), 104 (×1), 142 (×1), 119 (×1), 215 (×1), 129 (×1) |
| Sampling rate (Hz) | 1000 (×150), 2048 (×21), 2000 (×10), 512 (×8), 1024 (×4) |
| Total duration (h) | 140.0 |
| Size on disk | 157.4 GB |
| Recording type | IEEG |
| Experimental modality | Visual |
| Paradigm type | Memory |
| Population | Epilepsy |
| Source | openneuro |
| License | CC0 |
| NEMAR citations | 0.0 |
Links
- DOI: 10.18112/openneuro.ds005411.v1.0.0
- OpenNeuro: ds005411
- 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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