NEBULA101 (ds005613)
NEBULA101 NeuroBehavioural Understanding of Language Aptitude
Brain MRI and extensive language and cognitive testing of healthy, largely multilingual young adults in Geneva, collected to study individual differences in language aptitude, with anatomical, diffusion, resting-state and language localiser functional scans.
Overview
Brain MRI and deep behavioural phenotyping from a Geneva study on why people differ in their ability to learn and use languages. Healthy young adults, most of them speaking several languages, completed questionnaires on language background, motivation, reading and music, plus a long battery of linguistic and general cognitive tasks spread over two online and one in-person session, and then a single imaging session. The data are on OpenNeuro in BIDS format under CC0, and a data descriptor in Scientific Data documents them.
Composition
101 adults, 68 women and 33 men, aged 18 to 38 with a mean of 23.35 years. The study recruited 104 people; one withdrew consent to data sharing and two could not be scanned because of claustrophobia. People with neurological or psychiatric diagnoses, serious chronic illness, professional music or interpreting training, diagnosed dyslexia, or more than 10 well-known languages were not included. Questionnaire scores, task scores and language history data come as phenotype and derivative tables. There is no patient group.
Acquisition
All scans come from a Siemens 3 T Magnetom Prisma with a 64-channel head coil at Campus Biotech in Geneva. Each participant has a defaced 1 mm MPRAGE T1-weighted scan, one multi-shell diffusion run at 1.5 mm with b-values up to 2850 s/mm², one resting-state BOLD run and three runs of an auditory language localiser in which participants listened to intact and degraded passages of Alice in Wonderland in their first and second language. BOLD runs use a repetition time of 2 s and multiband factor 3. Phase-difference field maps accompany the functional and diffusion scans. Data were collected between July 2022 and June 2023.
Annotations
There are no image labels. Event files for the localiser runs, the localiser stimuli and per-participant behavioural and questionnaire scores are the non-imaging data.
Known limitations
The sample is young, mostly female and highly educated, and recruited from one French-speaking region. Three further fMRI tasks and one anatomical scan acquired in the same session belong to other projects and are not part of this release. Some behavioural measures are missing for individual participants, as logged in the dataset's validation folder.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 101 subjects.
Sex
- Female 68 67%
- Male 33 33%
Methods: Participants in Rampinini et al. 2025, NEBULA101: an open dataset for the study of language aptitude in behaviour, brain structure and function, Scientific Data 12, 19; sex in participants.tsv of ds005613 snapshot 1.0.1 (CC0), counted per row
Contrast / sequence
Groups can overlap
- T1-weighted 101 100%
- Diffusion-weighted 101 100%
- BOLD fMRI 101 100%
anat/*_T1w.nii.gz, dwi/*_dwi.nii.gz, func/*_bold.nii.gz in File tree of ds005613 snapshot 1.0.1 (CC0), NIfTI files counted per subject and BIDS suffix
Scanner vendor
- Siemens Healthineers 101 100%
Session 4: Magnetic resonance imaging in Rampinini et al. 2025, NEBULA101: an open dataset for the study of language aptitude in behaviour, brain structure and function, Scientific Data 12, 19
Age
mean 23.4 ± 4.1, median 22, range 18.2 to 38.5
age in participants.tsv of ds005613 snapshot 1.0.1 (CC0), counted per row; Methods: Participants in Rampinini et al. 2025, NEBULA101: an open dataset for the study of language aptitude in behaviour, brain structure and function, Scientific Data 12, 19
Condition
Groups can overlap
- Healthy control 101 100%
Methods: Participants in Rampinini et al. 2025, NEBULA101: an open dataset for the study of language aptitude in behaviour, brain structure and function, Scientific Data 12, 19
Field strength
- 3 T 101 100%
Session 4: Magnetic resonance imaging in Rampinini et al. 2025, NEBULA101: an open dataset for the study of language aptitude in behaviour, brain structure and function, Scientific Data 12, 19
Age by sex
Reported cross table. Missing cells were not published (fewer than 10 or not reported).
- 5320-2927
- 1110-19n/a
sex and age in participants.tsv of ds005613 snapshot 1.0.1 (CC0), counted per row
Contrast combinations
How many subjects have exactly each set of contrasts.
| T1w | dwi | bold | Subjects with exactly this set |
|---|---|---|---|
101 |
sub-*/ in File tree of ds005613 snapshot 1.0.1 (CC0), NIfTI files counted per subject and BIDS suffix
License and access
Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer
Download without an account
Creative Commons Zero 1.0 Universal
Public domain dedication. Do anything with the data, including commercial use, without asking and without having to give credit.
dataset_description.json of snapshot 1.0.1 states "License" CC0, and the Data Records section of rampinini2025 states a Creative Commons CC0 1.0 license.
What you can do
- Yes
- Yes
- Yes
- Yes
- Yes
What you can share
- Yes
- Yes
- Yes
What you must do
- No
- Share alike No
- No
- No
- Manuscript review No
- Release code No
- Return results No
- Delete after use No
Limits
- No
- Location limits No
Citation
Rampinini A, Balboni I, Kepinska O, Berthele R, Golestani N. NEBULA101: an open dataset for the study of language aptitude in behaviour, brain structure and function. Scientific Data 12, 19 (2025). doi:10.1038/s41597-024-04357-y
Sources
Every number on this page comes from one of these documents. Each chart names the table or page it is taken from. The raw numbers are in stats.csv.
- Rampinini et al. 2025, NEBULA101: an open dataset for the study of language aptitude in behaviour, brain structure and function, Scientific Data 12, 19 paper
- OpenNeuro ds005613 snapshot 1.0.1 (dataset_description.json, README, CHANGES, sidecars and snapshot summary) website
- participants.tsv of ds005613 snapshot 1.0.1 (CC0), counted per row computed
- File tree of ds005613 snapshot 1.0.1 (CC0), NIfTI files counted per subject and BIDS suffix computed