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ds005523
Spatial Memory of Object Locations with Open-Loop Stimulation at Encoding
openneuro
https://openneuro.org/datasets/ds005523
10.18112/openneuro.ds005523.v1.0.1
CC0
{ "library": "eegdash", "class": "EEGDashDataset", "kwargs": { "dataset": "ds005523" } }
https://huggingface.co/spaces/EEGDash/catalog
huggingface-space/scripts/push_metadata_stubs.py

Spatial Memory of Object Locations with Open-Loop Stimulation at Encoding

Dataset ID: ds005523

Herrema2024_Spatial_Memory

At a glance: IEEG · Visual memory · surgery · 21 subjects · 102 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="ds005523", 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/ds005523")

Dataset metadata

Subjects 21
Recordings 102
Tasks (count) 1
Channels 166 (×7), 144 (×7), 180 (×7), 182 (×7), 126 (×6), 156 (×5), 56 (×5), 50 (×5), 118 (×4), 109 (×4), 141 (×4), 68 (×3), 64 (×3), 133 (×3), 138 (×2), 87 (×2), 104 (×2), 120 (×2), 108 (×2), 123 (×2), 76 (×2), 85 (×2), 174 (×2), 94 (×2), 100 (×2), 163 (×1), 110 (×1), 173 (×1), 124 (×1), 188 (×1), 88 (×1), 143 (×1), 92 (×1), 80 (×1), 112 (×1)
Sampling rate (Hz) 1000 (×58), 1600 (×22), 500 (×18), 999 (×2), 499.7071 (×2)
Total duration (h) 84.3
Size on disk 69.7 GB
Recording type IEEG
Experimental modality Visual
Paradigm type Memory
Population Surgery
Source openneuro
License CC0
NEMAR citations 0.0

Links


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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