SRM Resting-state EEG

Description

The SRM Resting-state EEG dataset is a publicly available scalp-EEG corpus of 111 healthy adults recorded at the Department of Psychology, University of Oslo, Norway, and distributed via OpenNeuro as accession ds003775 (Hatlestad-Hall et al., 2022). The resting-state recordings were extracted from the Stimulus-Selective Response Modulation (SRM) experimental paradigm — a larger project investigating perceptual learning and habituation of the visual evoked response — so the resting blocks here are the eyes-closed baseline acquired alongside that paradigm rather than a standalone resting study. Each recording is roughly four minutes of uninterrupted eyes-closed EEG, accompanied by participant age, sex, and raw (non-standardised) neuropsychological assessment scores, making the dataset well suited to broad-spectrum spectral, functional-connectivity, and graph-theoretic analyses.

Citation

• Paper DOI: 10.1016/j.dib.2022.108647
• Dataset DOI: 10.18112/openneuro.ds003775.v1.2.1
• Reference: Hatlestad-Hall, C., Rygvold, T. W., & Andersson, S. (2022). BIDS-structured resting-state electroencephalography (EEG) data extracted from an experimental paradigm. Data in Brief 45, 108647.

Catalog citation block

• Hatlestad-Hall, C., Rygvold, T. W., & Andersson, S. (2022). BIDS-structured resting-state electroencephalography (EEG) data extracted from an experimental paradigm. Data in Brief, 45, 108647. doi:10.1016/j.dib.2022.108647
• Hatlestad-Hall, C., Rygvold, T. W., & Andersson, S. (2022). SRM Resting-state EEG (Version 1.2.1) [Dataset]. OpenNeuro. doi:10.18112/openneuro.ds003775.v1.2.1

Download and access

Field	Value
Official source	https://openneuro.org/datasets/ds003775
Access class	open
Size	617 files / ≈ 4.49 GB (OpenNeuro snapshot v1.2.1)
Format	edf
BIDS	true
Mirrors	AWS Registry of Open Data (OpenNeuro mirror)

Source & access

• Repository / accession: OpenNeuro ds003775 — “SRM Resting-state EEG”, latest snapshot v1.2.1 (https://openneuro.org/datasets/ds003775).
• Dataset DOI: versioned via OpenNeuro (10.18112/openneuro.ds003775.v1.2.1); cite the data descriptor for the canonical reference.
• Dataset license: CC0 (public-domain dedication), per the OpenNeuro dataset description. Note that the accompanying Data in Brief article is published separately under CC BY-NC-ND — the article license does not constrain reuse of the data itself, which is CC0.

Data structure

The dataset is organised per the EEG-BIDS specification. Raw EEG is provided in European Data Format (.edf), with subject/session/task BIDS naming (sub-<id>/ses-<t1|t2>/eeg/) plus the usual sidecars (*_eeg.json, *_channels.tsv, *_electrodes.tsv, participants.tsv/.json, dataset_description.json, README). Preprocessed/derivative data are additionally distributed in EEGLAB .set format, and the descriptor references MATLAB (.m) processing scripts. OpenNeuro snapshot v1.2.1 reports 617 files / ≈ 4.49 GB. The OpenNeuro distribution is DataLad/git-annex backed, so a datalad install / datalad get workflow can retrieve individual files without downloading the whole tree.

License

• Name: CC0
• Note (verbatim from the directory): CC0 per the OpenNeuro dataset description; the Data in Brief article is CC BY-NC-ND, which applies to the article, not the data
• Snippets on this site: allowed — the site may ship short derived snippets and precomputed products from this dataset, labelled as derivatives (re-referenced, filtered, cropped) with citation, license and DOI.

Acquisition

Field	Value
Device	BioSemi ActiveTwo, 64 active Ag/AgCl electrodes (10-10)
Device class	research-cap
Channels	TODO(confirm) (catalog prose states 64; registry metadata_status: partial (§10.11 item 6))
Sampling rate (Hz)	TODO(confirm) (catalog prose states 1024; registry metadata_status: partial (§10.11 item 6))
Online filters	none beyond the amplifier’s default anti-aliasing filter
Reference	reference-free as recorded (BioSemi CMS/DRL)
Mains frequency (Hz)	50
Paradigms	rest-ec
Participants	111
Population	111 healthy adults 17–71 (68 F / 43 M)
Clinical groups	none
Sessions	2
Durations	~4-min eyes-closed (task resteyesc); session t1 for all 111, t2 after 2–3 months for ~42

Acquisition

Recordings used a BioSemi ActiveTwo system with 64 active Ag/AgCl electrodes placed according to the extended 10—20 / 10-10 system. The sampling rate is 1024 Hz. Consistent with BioSemi hardware, no online high-pass/low-pass filtering was applied beyond the amplifier’s default anti-aliasing filter, and the system records reference-free (CMS/DRL active-electrode design; re-referencing is left to the analyst). Each block is approximately four minutes of continuous eyes-closed resting EEG.

Participants

The dataset comprises 111 healthy control subjects (sub-001 … sub-111) — there is no clinical group; all participants are neurotypical adults. Age range is 17—71 years (mean ≈ 37.6, SD ≈ 14.0); sex breakdown is 68 female / 43 male (Hatlestad-Hall et al., 2022; OpenNeuro participants table). Participants were recruited at the University of Oslo. Note that some downstream analyses report a smaller working sample (e.g. n = 103, or n = 42 for test—retest) — these are analysis subsets, not the dataset total, which is 111. Data collection followed the Declaration of Helsinki and was approved by the Regional Committee for Medical and Health Research Ethics of South-Eastern Norway (REK reference 2016/2003).

Tasks / conditions

A single resting-state condition: eyes closed, modelled in the BIDS layout as task resteyesc. Two sessions are defined — t1 (the initial recording, present for all 111 subjects) and t2 (a second recording performed 2—3 months later in a subset, n ≈ 42), enabling test—retest / measurement-stability analyses. No active task, stimulus presentation, or eyes-open block is part of the released resting-state files; the visual SRM paradigm from which these baselines were drawn is not included here. Per-subject neuropsychological scores (Rey Auditory Verbal Learning Test, WAIS-IV Digit Span, D-KEFS Trail Making Test, Colour-Word Interference Test, and Verbal Fluency) accompany the EEG as participant metadata.

Used on this site

L1.6, L7.6, L7.8

Loader

Fetches only the stated subset. Recorded loader: DataLad (OpenNeuro ds003775).

# OpenNeuro serves ds003775 as a DataLad/git-annex repository; fetch one subject only.
datalad install https://github.com/OpenNeuroDatasets/ds003775.git
cd ds003775
datalad get sub-001   # replace with the subject id you need

Caveats worth knowing

• Only ~42 of 111 have a second session; handle missing sessions explicitly.
• The EDF headers declare NO physical unit, so MNE reads the data as volts when it is microvolts and every amplitude comes out 1e6 too large. The dataset is self-consistent about it — its channels.tsv says uV — so nothing in the files contradicts anything and a reader has only the magnitudes to go on. Found 2026-09-18 because a 150 uV peak-to-peak criterion rejected every epoch of every recording, which looks exactly like a very noisy cohort. mne-bids-pipeline runs on it, succeeds, and writes a report in which every microvolt is wrong; no configuration setting catches it. Scale by 1e-6 on load. See nb-7-6-reliability and nb-7-8-bids-pipeline.

Notable caveats

• Line noise: recorded in Norway — expect 50 Hz mains and harmonics; apply a 50 Hz notch (and ~25/100 Hz checks) rather than the 60 Hz appropriate to US datasets.
• Reference: files are effectively reference-free as recorded (BioSemi CMS/DRL). Choose and document an explicit re-reference (e.g. average or linked-mastoid) before spectral/connectivity analysis.
• Resting condition is eyes-closed only: strong occipital alpha is expected; there is no eyes-open contrast.
• Session imbalance: only ~42 of 111 subjects have a t2 session — handle missing sessions explicitly in any longitudinal/retest analysis.
• High native rate: 1024 Hz raw; downsampling (e.g. to 256/512 Hz) is reasonable for band-limited analyses but verify anti-alias handling.
• Format note: although BioSemi natively writes BDF, this dataset is distributed as EDF; trust the EDF headers for channel labels and units rather than assuming BioSemi BDF defaults.

Related datasets

• ERP CORE (Compendium of Open Resources and Experiments)
• EEG Motor Movement/Imagery Dataset (EEGMMIDB)
• LEMON (MPI-Leipzig Mind-Brain-Body)
• Dortmund Vital Study resting EEG
• EEG During Mental Arithmetic Tasks (EEGMAT)

# Loader recorded in the catalog: DataLad (OpenNeuro ds003775)
# TODO(confirm) the exact call and the subset to fetch. Official source: https://openneuro.org/datasets/ds003775