Datasets:

EEGDash
/

ds005307

pretty_name: Laser-evoked potentials in the human spinal cord and cortex
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - tactile
  - perception
size_categories:
  - n<1K
task_categories:
  - other

Laser-evoked potentials in the human spinal cord and cortex

Dataset ID: ds005307

Nierula2024

Canonical aliases: Nierula2019

At a glance: EEG · Tactile perception · healthy · 7 subjects · 73 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="ds005307", cache_dir="./cache")
print(len(ds), "recordings")

You can also load it by canonical alias — these are registered classes in eegdash.dataset:

from eegdash.dataset import Nierula2019
ds = Nierula2019(cache_dir="./cache")

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/ds005307")

Dataset metadata


Subjects	7
Recordings	73
Tasks (count)	1
Channels	77 (×50), 109 (×18), 110 (×5)
Sampling rate (Hz)	10000 (×73)
Total duration (h)	1.6
Size on disk	18.1 GB
Recording type	EEG
Experimental modality	Tactile
Paradigm type	Perception
Population	Healthy
Source	openneuro
License	CC0
NEMAR citations	1.0

Laser-evoked potentials in the human spinal cord and cortex

Load this dataset

Dataset metadata

Links