OSCR

BIDS-formatted resting-state and loudness dependence of auditory evoked potentials (LDAEP) EEG dataset from healthy women.

Overview

Authors: Henrik Normannseth1,2, Stein Andersson1,3, Christoffer Hatlestad-Hall4
ORCID iDs: Henrik Normannseth, Stein Andersson, Christoffer Hatlestad-Hall
  1. Section for Clinical and Cognitive Neuroscience, Department of Psychology, University of Oslo, P.O. Box 1094, Blindern 0317 Oslo, Norway
  2. Department of Psychiatry, Lovisenberg Diaconal Hospital, P.O. Box 4970, Nydalen 0440 Oslo, Norway
  3. Section of Psychosomatic Medicine, Division of Mental Health and Addiction, Oslo University Hospital, P.O. Box 4956, Nydalen 0424 Oslo, Norway
  4. Department of Neurology, Oslo University Hospital, P.O. Box 4950, Nydalen 0424 Oslo, Norway
Institutions: University of Oslo (Norway); Lovisenberg Diakonale Sykehus (Norway); Oslo University Hospital (Norway)
Journal: Data in brief, volume 67, article 112940
Dates: received 17 April 2026; accepted 4 June 2026; published online 6 June 2026
Type: Data paper · Language: English
License: CC BY
Identifiers: DOI 10.1016/j.dib.2026.112940 · PMID 42293445 · PMCID PMC13264121 · OpenAlex W7163756299
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: EEG (modality), human (organism), depression (population), methods / tools (subfield)
Methods: Preprocessing
Keywords: Electroencephalography, Event-related potentials, Women's health, Hormonal contraceptives, Sex hormones, Depressive symptoms
Topic: EEG and Brain-Computer Interfaces (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: Universitetet i Oslo
Citations: not cited yet (Europe PMC); 10 references in the paper

Abstract

Here, we describe a publicly available electroencephalography (EEG) dataset recorded from 69 healthy women (aged 19–40). Data were acquired using a 64-channel BioSemi ActiveTwo system (10–10 electrode positions) at a sampling rate of 2048 Hz. The dataset includes two EEG paradigms: (1) a resting-state recording consisting of four minutes with eyes closed followed by four minutes with eyes open (available for all 69 participants), and (2) a loudness dependence of auditory evoked potentials (LDAEP) paradigm comprising 1000 Hz tones at five intensity levels (55–95 dB SPL; available for 54 participants). The dataset also includes demographic variables, hormonal contraceptive (HC) usage information, menstrual cycle data, Beck Depression Inventory-II (BDI-II) scores, and UPPS Impulsive Behavior Scale subscale scores. The data are organized according to the Brain Imaging Data Structure (BIDS) specification and hosted on OpenNeuro. The dataset is suitable for research on resting-state EEG, LDAEP, hormone-related variation in brain electrophysiology, and machine learning applications.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper links to its data, not to its authors' code: see the Data section.

Tracing map

A tracing map links a paper to the code its authors published: this paper has none, so it has no map.

Data

Datasets cited

Data Availability

OpenNeuroLDAEP and resting-state EEG in healthy women (Original data) (https://doi.org/10.18112/openneuro.ds007615.v1.0.0)

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 2, 28 September 2026

  • Authors: added Henrik Normannseth (0009-0004-2666-278X); Stein Andersson (0000-0002-7556-7621); removed Henrik Normannseth; Stein Andersson

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 3 authors, 6 keywords, 1 funder, 9 references.

Cite

This paper

Normannseth, H., Andersson, S., & Hatlestad-Hall, C. (2026). BIDS-formatted resting-state and loudness dependence of auditory evoked potentials (LDAEP) EEG dataset from healthy women. Data in brief, 67, 112940. https://doi.org/10.1016/j.dib.2026.112940

BibTeX

@article{normannseth2026bids,
author = {Normannseth, Henrik and Andersson, Stein and Hatlestad-Hall, Christoffer},
title = {{BIDS-formatted resting-state and loudness dependence of auditory evoked potentials (LDAEP) EEG dataset from healthy women}},
journal = {Data in brief},
year = {2026},
month = jun,
volume = {67},
pages = {112940},
publisher = {Elsevier},
issn = {2352-3409},
doi = {10.1016/j.dib.2026.112940},
url = {https://doi.org/10.1016/j.dib.2026.112940},
pmid = {42293445},
pmcid = {PMC13264121}
}

RIS

TY - JOUR
AU - Normannseth, Henrik
AU - Andersson, Stein
AU - Hatlestad-Hall, Christoffer
TI - BIDS-formatted resting-state and loudness dependence of auditory evoked potentials (LDAEP) EEG dataset from healthy women
T2 - Data in brief
J2 - Data Brief
PY - 2026
DA - 2026/06/06
VL - 67
SP - 112940
SN - 2352-3409
PB - Elsevier
DO - 10.1016/j.dib.2026.112940
UR - https://doi.org/10.1016/j.dib.2026.112940
LA - en
ER -

CSL-JSON

{
"id": "10.1016/j.dib.2026.112940",
"type": "article-journal",
"title": "BIDS-formatted resting-state and loudness dependence of auditory evoked potentials (LDAEP) EEG dataset from healthy women",
"container-title": "Data in brief",
"author": [
{
"family": "Normannseth",
"given": "Henrik"
},
{
"family": "Andersson",
"given": "Stein"
},
{
"family": "Hatlestad-Hall",
"given": "Christoffer"
}
],
"container-title-short": "Data Brief",
"volume": "67",
"page": "112940",
"DOI": "10.1016/j.dib.2026.112940",
"PMID": "42293445",
"PMCID": "PMC13264121",
"ISSN": "2352-3409",
"publisher": "Elsevier",
"URL": "https://doi.org/10.1016/j.dib.2026.112940",
"language": "en",
"issued": {
"date-parts": [
[
2026,
6,
6
]
]
}
}

Similar papers

The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.

[1] doi:10.1167/jov.26.8.4 [code]
The neural processes of illusory occlusion in object recognition.
Journal: Journal of vision
In common: EEG, 2 references
[2] doi:10.1038/s41540-026-00699-y [code]
Inferring relationships among major psychiatric disorders in a resting-state functional connectivity-informed embedding space.
Journal: NPJ systems biology and applications
In common: depression, methods / tools, 1 reference
[3] doi:10.1038/s44220-026-00680-y [code]
The neuroimaging correlates of depression established across six large-scale population datasets.
Journal: Nature. Mental health
In common: depression, methods / tools, 1 reference
[4] doi:10.1038/s41597-026-07787-y
A multi-paradigm and longitudinal EEG dataset including the "sixth-finger" and "affected-hand" motor imagery of stroke patients.
Journal: Scientific data
In common: methods / tools, EEG, 1 reference
[5] doi:10.3758/s13428-026-02997-z [code]
PyLossless: A non-destructive EEG processing pipeline.
Journal: Behavior research methods
In common: methods / tools, EEG, 1 reference
[6] doi:10.1038/s41597-026-07146-x [code]
Intention-Action Conflict EEG-Hand Kinematics Dataset for Unimanual Control under Congruent and Incongruent Conditions.
Journal: Scientific data
In common: methods / tools, EEG, 1 reference
[7] doi:10.3390/s26134045
Brain Signal for Secure EEG Biometric Authentication: A Comprehensive Survey.
Journal: Sensors (Basel, Switzerland)
In common: methods / tools, EEG, 1 reference
[8] doi:10.1162/imag.a.1363 [code]
Social approach-avoidance conflict: Behavioural, emotional, and neural correlates along a depression-social anxiety spectrum.
Journal: Imaging neuroscience (Cambridge, Mass.)
In common: depression, 1 reference
[9] doi:10.1038/s41398-026-04206-z
Disrupted hierarchical functional brain organization in affective and psychotic disorders: insights from functional brain gradients.
Journal: Translational psychiatry
In common: depression, 1 reference
[10] doi:10.1192/bjp.2026.10664 [code]
Early effects of a novel 5-HT<sub>4</sub>R agonist (PF-04995274) and the SSRI citalopram on emotional cognition in unmedicated depression: RESTAND study.
Journal: The British journal of psychiatry : the journal of mental science
In common: depression, 1 reference

Contribute

The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.

Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.

Request its removal

To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).

Discussion, reproductions, activity

Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.

Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.

Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.