[Dataset] Add FieldTrip open data datasets

Dataset Information

• Name: FieldTrip Open Data FAQ
• Link: https://www.fieldtriptoolbox.org/faq/open_data/
• Actual URL: https://www.fieldtriptoolbox.org/faq/other/open_data/ (redirects)
• Type: META-LIST (curated by FieldTrip toolbox team)

Description

A well-maintained, curated list of open-access MEG, EEG, iEEG, and neurophysiology datasets organized by the FieldTrip toolbox team. The page categorizes datasets by modality and provides brief descriptions with links to data repositories. This is a high-quality resource maintained by an established neuroimaging software team.

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Datasets Already in MOABB

Fully Implemented

• ERP CORE - All 7 paradigms (40 subjects) - ErpCore2021_*
• BNCI Horizon 2020 - 13 datasets implemented (see #919-#935 for remaining)
• PhysioNet Motor Movement/Imagery - PhysionetMI (109 subjects)

Partially Covered

• Lee2019 - Motor Imagery, ERP, SSVEP datasets - Lee2019_MI, Lee2019_ERP, Lee2019_SSVEP

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EEG Datasets to Add

BCI-Relevant (High Priority)

• FieldTrip Made Easy Dataset - 29 subjects, auditory steady-state responses (DOI)
• Nencki-Symfonia EEG/ERP - 42 subjects, multi-source interference + oddball + reaction time (GigaDB)
• MIPDB (Multimodal Resource) - Developmental EEG, various paradigms (NITRC)

Large-Scale Resting State (Lower BCI Priority)

• LEMON Mind-Brain-Body - 228 subjects, resting state (NITRC)
• Healthy Brain Network (HBN) - 600+ subjects, developmental focus (NITRC)
• TDBRAIN Clinical Lifespan - 1,274 subjects, resting-state clinical (DOI)

Sleep Datasets

• National Sleep Research Resource - Multiple sleep studies (sleepdata.org)

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MEG Datasets (Future Consideration)

MOABB currently focuses on EEG, but these MEG datasets could be considered for future expansion:

Dataset	Subjects	Paradigm	URL
Human Connectome Project	~100	Rest + 3 tasks	http://www.humanconnectome.org
Cam-CAN	~650	Rest, sensorimotor, sensory	https://camcan-archive.mrc-cbu.cam.ac.uk/dataaccess/
Open MEG Archive (OMEGA)	Multiple	Various	https://omega.bic.mni.mcgill.ca
Mother Of Unification Studies (MOUS)	204	Rest, language	https://doi.org/10.34973/37n0-yc51
Wakeman & Henson	16	Multimodal neuroimaging	http://www.nature.com/articles/sdata20151

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iEEG Datasets (Specialized)

• Restoring Active Memory (RAM) - 251 subjects, 700 sessions, ECoG (UPenn)
• Kai J. Miller Library - 34 patients, 16 behavioral experiments (Stanford)

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Additional Resources Listed on FieldTrip Page

The page also links to these meta-resources (some have their own MOABB issues):

Resource	Description	Related Issue
Brain Signals	EEG dataset references	-
Arno Delorme's List	Open EEG datasets (SCCN/UCSD)	-
Brad Voytek's List	Open electrophysiology (GitHub)	-
NeuroTechX Awesome BCI	BCI databases list	-
DANDI Archive	Cellular neurophysiology	-
CRCNS	Intracranial animal recordings	-

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Data Repositories Mentioned

• Donders Repository: https://data.donders.ru.nl/collections/published
• OpenNeuro: https://openneuro.org
• DataDryad: https://datadryad.org/stash/
• Zenodo: https://zenodo.org
• PhysioNet: https://physionet.org/about/database/#neuro

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BNCI Datasets Not Yet in MOABB

The FieldTrip page references BNCI Horizon 2020. These BNCI datasets have open issues:

• #919 - BNCI 007-2014 (Two-finger Gameplay)
• #920 - BNCI 005-2015 (Covert Shifts of Attention)
• #921 - BNCI 006-2015 (Music BCI / SSVEP)
• #922 - BNCI 007-2015 (Motion VEP Speller)
• #923 - BNCI 008-2015 (Center Speller)
• #924 - BNCI 009-2015 (AMUSE Auditory Speller)
• #925 - BNCI 010-2015 (RSVP Speller)
• #926 - BNCI 012-2015 (PASS2D Auditory ERP Speller)
• #927 - BNCI 013-2015 (Error-Related Potentials)
• #928 - BNCI 002-2016 (Emergency Braking)
• #929 - BNCI 001-2019 (Attempted Movements SCI)
• #930 - BNCI 001-2020 (Reach/Grasp Different Electrodes)
• #931 - BNCI 002-2020 (Spatial Attention Shifts)
• #932 - BNCI 001-2022 (Difficulty Level Correlates)
• #933 - BNCI 001-2024 (Handwritten Character Classification)
• #934 - BNCI 001-2025 (Speed/Distance/Direction Encoding)
• #935 - BNCI 002-2025 (Continuous 2D Trajectory Decoding)

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Notes

This is a META-ISSUE tracking datasets from the FieldTrip Open Data page. The FieldTrip team maintains this as a reliable, up-to-date resource.

Key Insight: Many datasets on this page are already in MOABB or have dedicated issues. The unique value is in the MEG datasets and the curated quality of the list.

Related

• This issue is a sub-issue of #1 (Discover new datasets)
• Related meta-lists: #913 (OpenLists), #914 (meagmohit), #915 (ResearchGate)

Start with the FieldTrip Open Data FAQ and compare its listed datasets against existing MOABB entries such as ErpCore2021_, PhysionetMI, and Lee2019_. Review the dedicated BNCI issues #919-#935 before selecting a dataset; completion is not defined because this meta-issue tracks many possible additions, including EEG, MEG, and iEEG work.