EEGDash/ds005489

Free Recall with Open-Loop Stimulation at Encoding

Dataset ID: ds005489

Herrema2024_Free_Recall

At a glance: IEEG · Visual memory · unknown · 37 subjects · 154 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="ds005489", 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/ds005489")

Dataset metadata

Subjects	37
Recordings	154
Tasks (count)	1
Channels	100 (×12), 64 (×10), 141 (×9), 118 (×8), 96 (×8), 136 (×7), 109 (×7), 88 (×6), 68 (×6), 72 (×6), 87 (×4), 126 (×4), 75 (×4), 56 (×4), 110 (×4), 70 (×4), 93 (×3), 156 (×3), 76 (×3), 85 (×3), 74 (×3), 58 (×3), 120 (×3), 104 (×2), 124 (×2), 112 (×2), 134 (×2), 128 (×2), 80 (×2), 138 (×2), 99 (×2), 123 (×2), 108 (×2), 18 (×1), 163 (×1), 14 (×1), 20 (×1), 83 (×1), 101 (×1), 97 (×1), 114 (×1), 177 (×1), 16 (×1)
Sampling rate (Hz)	500 (×90), 1000 (×46), 1600 (×10), 513 (×4), 256 (×2), 499.7071 (×2)
Total duration (h)	138.2
Size on disk	64.9 GB
Recording type	IEEG
Experimental modality	Visual
Paradigm type	Memory
Population	Unknown
Source	openneuro
License	CC0
NEMAR citations	0.0

Links

• DOI: 10.18112/openneuro.ds005489.v1.0.3
• OpenNeuro: ds005489
• Browse 700+ datasets: EEGDash catalog
• Docs: https://eegdash.org
• Code: https://github.com/eegdash/EEGDash

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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.