{"authors":[{"id":null,"fullName":"Meier, Jil M.","name":"Jil M.","surname":"Meier","rank":1,"pid":null},{"id":null,"fullName":"Triebkorn, Paul","name":"Paul","surname":"Triebkorn","rank":2,"pid":null},{"id":null,"fullName":"Schirner, Michael","name":"Michael","surname":"Schirner","rank":3,"pid":null},{"id":null,"fullName":"Ritter, Petra","name":"Petra","surname":"Ritter","rank":4,"pid":null}],"openAccessColor":null,"publiclyFunded":null,"eoscIfGuidelines":null,"type":"dataset","language":{"code":"und","label":"Undetermined"},"countries":null,"subjects":[{"subject":{"scheme":"FOS","value":"05 social sciences"},"provenance":null},{"subject":{"scheme":"FOS","value":"0501 psychology and cognitive sciences"},"provenance":null},{"subject":{"scheme":"keyword","value":"Neuroscience"},"provenance":null}],"mainTitle":"Structural and functional connectomes and region-average fMRI from 50 healthy participants, age range 18-80 years (1.0)","subTitle":null,"descriptions":["We present processed multimodal empirical data from a study with The Virtual Brain (TVB) based on this data. Structural and functional data have been prepared in accordance with [Brain Imaging Data Structure (BIDS)](https://bids.neuroimaging.io/) standards and annotated according to the [openMINDS](https://openminds-documentation.readthedocs.io/en/latest/) metadata framework. This simultaneous electroencephalography (EEG) - functional magnetic resonance imaging (fMRI) resting-state data, diffusion-weighted MRI (dwMRI), and structural MRI were acquired for 50 healthy adult subjects (18 - 80 years of age, mean 41.12±18.20; 30 females, 20 males) at the Berlin Center for Advanced Imaging, Charité University Medicine, Berlin, Germany. We constructed personalized models from this multimodal data of 50 healthy individuals with TVB in a previous study ([Triebkorn et al. 2024](https://doi.org/10.1101/2020.03.26.009795)). We present this large comprehensive processed data set in an annotated and structured format following BIDS standards for derivatives of MRI and BIDS Extension Proposal for computational modeling data. We describe how we processed and converted the diverse data sources to make it reusable. In its current form, this dataset can be reused for further research and provides ready-to-use data at various levels of processing for a large data set of healthy subjects with a wide age range."],"publicationDate":"2025-03-17","publisher":"EBRAINS","embargoEndDate":null,"sources":null,"formats":null,"contributors":["Ritter, Petra"],"coverages":null,"bestAccessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"container":null,"documentationUrls":null,"codeRepositoryUrl":null,"programmingLanguage":null,"contactPeople":null,"contactGroups":null,"tools":null,"size":null,"version":"null","geoLocations":null,"id":"doi_dedup___::798c77d1c5dc723b33489a67ed11442f","originalIds":["50|datacite____::798c77d1c5dc723b33489a67ed11442f","10.25493/6ckf-mjs","50|sygma_______::798c77d1c5dc723b33489a67ed11442f"],"pids":[{"scheme":"doi","value":"10.25493/6ckf-mjs"}],"dateOfCollection":null,"lastUpdateTimeStamp":null,"indicators":{"citationImpact":{"citationCount":0.0,"influence":2.1746283E-9,"popularity":2.2497804E-9,"impulse":0.0,"citationClass":"C5","influenceClass":"C5","impulseClass":"C5","popularityClass":"C5"}},"projects":[{"id":"corda_____he::0076357a1e39d82caa3231904823c86e","code":"101058516","acronym":"eBRAIN-Health","title":"eBRAIN-Health - 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