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 |
|---|---|---|---|---|---|---|---|---|
ds004395 | Penn Electrophysiology of Encoding and Retrieval Study (PEERS) | openneuro | https://openneuro.org/datasets/ds004395 | 10.18112/openneuro.ds004395.v2.0.0 | CC0 | {
"library": "eegdash",
"class": "EEGDashDataset",
"kwargs": {
"dataset": "ds004395"
}
} | https://huggingface.co/spaces/EEGDash/catalog | huggingface-space/scripts/push_metadata_stubs.py |
Penn Electrophysiology of Encoding and Retrieval Study (PEERS)
Dataset ID: ds004395
Kahana2023
Canonical aliases: PEERS
At a glance: EEG · Visual memory · healthy · 364 subjects · 6483 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="ds004395", cache_dir="./cache")
print(len(ds), "recordings")
You can also load it by canonical alias — these are registered classes in eegdash.dataset:
from eegdash.dataset import PEERS
ds = PEERS(cache_dir="./cache")
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/ds004395")
Dataset metadata
| Subjects | 364 |
| Recordings | 6483 |
| Tasks (count) | 3 |
| Channels | 129 (×4980), 137 (×1490), 144 (×11), 272 (×2) |
| Sampling rate (Hz) | 500 (×4946), 2048 (×1466), 512 (×28), 250 (×17), 1000 (×15), 1024 (×11) |
| Total duration (h) | 9,115.8 |
| Size on disk | 8.7 TB |
| Recording type | EEG |
| Experimental modality | Visual |
| Paradigm type | Memory |
| Population | Healthy |
| Source | openneuro |
| License | CC0 |
| NEMAR citations | 6.0 |
Links
- DOI: 10.18112/openneuro.ds004395.v2.0.0
- OpenNeuro: ds004395
- 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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