EEGDash/ds005522

Spatial Navigation Memory of Object Locations

Dataset ID: ds005522

Herrema2024_Spatial

At a glance: IEEG · Visual memory · unknown · 55 subjects · 176 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="ds005522", 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/ds005522")

Dataset metadata

Subjects	55
Recordings	176
Tasks (count)	1
Channels	133 (×8), 110 (×8), 88 (×7), 120 (×7), 72 (×6), 188 (×6), 173 (×6), 126 (×6), 108 (×5), 56 (×5), 46 (×4), 128 (×4), 127 (×4), 68 (×4), 112 (×4), 64 (×4), 144 (×3), 146 (×3), 92 (×3), 123 (×3), 186 (×3), 124 (×3), 50 (×3), 104 (×3), 182 (×3), 86 (×3), 160 (×2), 59 (×2), 180 (×2), 138 (×2), 163 (×2), 85 (×2), 75 (×2), 140 (×2), 111 (×2), 70 (×2), 130 (×2), 63 (×2), 170 (×2), 96 (×2), 166 (×2), 158 (×2), 118 (×2), 100 (×2), 90 (×1), 54 (×1), 151 (×1), 105 (×1), 109 (×1), 94 (×1), 149 (×1), 172 (×1), 122 (×1), 174 (×1), 76 (×1), 78 (×1), 178 (×1), 84 (×1), 165 (×1), 125 (×1), 177 (×1), 169 (×1), 136 (×1), 80 (×1), 60 (×1), 116 (×1)
Sampling rate (Hz)	1000 (×70), 500 (×61), 1600 (×26), 999 (×13), 2000 (×4), 1999 (×2)
Total duration (h)	145.2
Size on disk	107.5 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.ds005522.v1.0.0
• OpenNeuro: ds005522
• 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.