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ds004166

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ds004166 / README.md
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Metadata stub for ds004166
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metadata 
pretty_name: >-
  Effects of Forward and Backward Span Trainings on Working Memory: Evidence
  from a Randomized, Controlled Trial
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - visual
  - learning
size_categories:
  - n<1K
task_categories:
  - other

Effects of Forward and Backward Span Trainings on Working Memory: Evidence from a Randomized, Controlled Trial

Dataset ID: ds004166

Li2022

At a glance: EEG · Visual learning · healthy · 71 subjects · 213 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="ds004166", 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/ds004166")

Dataset metadata

Subjects 71
Recordings 213
Tasks (count) 1
Size on disk 77.4 GB
Recording type EEG
Experimental modality Visual
Paradigm type Learning
Population Healthy
Source openneuro
License CC0
NEMAR citations 1.0

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.