{"dcterms:modified":"2026-08-17","dcterms:creator":"DataverseNO","@type":"ore:ResourceMap","schema:additionalType":"Dataverse OREMap Format v1.0.1","dvcore:generatedBy":{"@type":"schema:SoftwareApplication","schema:name":"Dataverse","schema:version":"6.6","schema:url":"https://github.com/iqss/dataverse"},"@id":"https://dataverse.no/api/datasets/export?exporter=OAI_ORE&persistentId=https://doi.org/10.18710/BFMCTV","ore:describes":{"citation:keyword":[{"citation:keywordValue":"EEG"},{"citation:keywordValue":"Multilingualism"},{"citation:keywordValue":"rsEEG"},{"citation:keywordValue":"Flanker task"},{"citation:keywordValue":"AX-CPT task"},{"citation:keywordValue":"NBack task"}],"citation:dsDescription":{"citation:dsDescriptionValue":"The ASTRID database is a large-scale database with a primary goal of capturing and quantifying individual differences in multilingual experience and relating them to neurocognitive adaptations/outcomes. Herein, resting-state EEG serves as the default outcome, although subsets of the database have additional available neurocognitive measures, including measures of attentional control, interference suppression, working memory, and proactive/reactive control and the neural correlates to these (also measured with EEG). Crucially, the database is structured such that future projects and collaborators can also easily and straightforwardly contribute data to it.

\n\nThis documentation dataset is a description of the ASTRID collection. All datasets in this collection contain, minimally, raw resting state EEG and language background information (e.g. LSBQ, LHQ, etc.). The collection is organized into datasets representing different data collection efforts. All data follows BIDS format. All data within a given dataset follow the same protocols, as described within the individual datasets.

\n\nAdditional tasks include:
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  1. Flanker
    2. \n
  2. AX-CPT
    3. \n
  3. NBack
    4. \n


\n\nASTRID is intended to be a collaborative effort, where any researcher with appropriate data can contribute. Please see the 'Future_Uploaders.txt' file for details about minimal requirements and how to prepare your data.

\n\nThe collection is managed by the Psycholinguistics of Language Representation lab (PoLaR) at UiT The Arctic University of Norway. For more information about us, visit our webpage https://site.uit.no/polar."},"citation:datasetContact":{"citation:datasetContactName":"Sendek, Katherine Jean","citation:datasetContactAffiliation":"UIT Norges arktiske universitet","citation:datasetContactEmail":"katherine.sendek@uit.no"},"citation:distributor":{"citation:distributorName":"The Tromsø Repository of Language and Linguistics (TROLLing)","citation:distributorAbbreviation":"TROLLing","citation:distributorURL":"https://trolling.uit.no/"},"author":{"citation:authorName":"Sendek, Katherine Jean","citation:authorAffiliation":"UIT Norges arktiske universitet","authorIdentifierScheme":"ORCID","authorIdentifier":{"personName":"Sendek, Katherine","@id":"https://orcid.org/0000-0002-6056-7565","scheme":"ORCID","@type":"https://schema.org/Person"}},"title":"Documentation of ASTRID","subject":["Arts and Humanities","Medicine, Health and Life Sciences","Social Sciences"],"dateOfDeposit":"2026-06-23","citation:depositor":"Sendek, Katherine Jean","citation:producer":{"citation:producerName":"UiT The Arctic University of Norway"},"software":[{"citation:softwareName":"BrainVision Recorder (Brain Products GmbH)"},{"citation:softwareName":"BrainVision Analyzer (Brain Products GmbH)"}],"@id":"https://doi.org/10.18710/BFMCTV","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.0","schema:name":"Documentation of ASTRID","schema:dateModified":"2026-08-17 09:32:46.881","schema:datePublished":"2026-08-17","schema:creativeWorkStatus":"RELEASED","schema:license":"http://creativecommons.org/publicdomain/zero/1.0","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":true},"schema:includedInDataCatalog":"DataverseNO","schema:isPartOf":{"schema:name":"ASTRID","@id":"https://dataverse.no/dataverse/astrid","schema:description":"The ASTRID database is a large-scale database with a primary goal of capturing and quantifying individual differences in multilingual experience and relating them to neurocognitive adaptations/outcomes. Herein, resting-state EEG serves as the default outcome, although subsets of the database have additional available neurocognitive measures, including measures of attentional control, interference suppression, working memory, and proactive/reactive control and the neural correlates to these (also measured with EEG). Crucially, the database is structured such that future projects and collaborators can also easily and straightforwardly contribute data to it.\n

\nThe collection is managed by the Psycholinguistics of Language Representation lab (PoLaR) at UiT The Arctic University of Norway. For more information about us, visit our webpage https://site.uit.no/polar.\n

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