Datasets:

EEGDash
/

ds005083

pretty_name: >-
  Safety and Accuracy of Stereoelectroencephalography for Pediatric Patients
  with Prior Craniotomy
license: cc0-1.0
tags:
  - ieeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - unknown
  - clinical-intervention
  - surgery
size_categories:
  - 1K<n<10K
task_categories:
  - other

Safety and Accuracy of Stereoelectroencephalography for Pediatric Patients with Prior Craniotomy

Dataset ID: ds005083

Yang2024

At a glance: IEEG · Unknown clinical/intervention · surgery · 61 subjects · 1357 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="ds005083", 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/ds005083")

Dataset metadata


Subjects	61
Recordings	1357
Tasks (count)	3
Channels	105 (×2), 114 (×2), 150 (×1), 102 (×1), 99 (×1), 62 (×1), 98 (×1), 148 (×1), 166 (×1), 138 (×1), 124 (×1), 129 (×1), 61 (×1), 117 (×1), 83 (×1), 230 (×1), 144 (×1), 95 (×1), 100 (×1), 134 (×1), 132 (×1), 112 (×1), 73 (×1), 123 (×1), 93 (×1), 152 (×1), 65 (×1), 103 (×1)
Size on disk	281.7 KB
Recording type	IEEG
Experimental modality	Unknown
Paradigm type	Clinical/Intervention
Population	Surgery
Source	openneuro
License	CC0

Safety and Accuracy of Stereoelectroencephalography for Pediatric Patients with Prior Craniotomy

Load this dataset

Dataset metadata

Links