Datasets:

EEGDash
/

ds004514

pretty_name: >-
  Simultaneous EEG and fNIRS recordings for semantic decoding of imagined
  animals and tools
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - multisensory
  - other
size_categories:
  - n<1K
task_categories:
  - other

Simultaneous EEG and fNIRS recordings for semantic decoding of imagined animals and tools

Dataset ID: ds004514

Rybar2023_Simultaneous

At a glance: EEG, FNIRS · Multisensory other · healthy · 12 subjects · 24 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="ds004514", 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/ds004514")

Dataset metadata


Subjects	12
Recordings	24
Tasks (count)	2
Channels	80 (×12), 22 (×6), 28 (×6)
Sampling rate (Hz)	2048 (×12), 7.8125 (×6), 8.928571428571429 (×6)
Total duration (h)	29.3
Size on disk	24.1 GB
Recording type	EEG, FNIRS
Experimental modality	Multisensory
Paradigm type	Other
Population	Healthy
Source	openneuro
License	CC0

Simultaneous EEG and fNIRS recordings for semantic decoding of imagined animals and tools

Load this dataset

Dataset metadata

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