Datasets:

ds007347 / README.md
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Metadata stub for ds007347
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metadata
pretty_name: >-
  Sterotactic Focused Ultrasound Mesencephalotomy for the Treatment of Head and
  Neck Cancer Pain
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - resting-state
  - clinical-intervention
  - cancer
size_categories:
  - n<1K
task_categories:
  - other

Sterotactic Focused Ultrasound Mesencephalotomy for the Treatment of Head and Neck Cancer Pain

Dataset ID: ds007347

Elias2026

At a glance: EEG · Resting State clinical/intervention · cancer · 5 subjects · 10 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="ds007347", 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/ds007347")

Dataset metadata

Subjects 5
Recordings 10
Tasks (count) 1
Channels 50 (×6), 102 (×4)
Sampling rate (Hz) 256 (×6), 512 (×4)
Total duration (h) 4.5
Size on disk 1.6 GB
Recording type EEG
Experimental modality Resting State
Paradigm type Clinical/Intervention
Population Cancer
Source openneuro
License CC0

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.