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.

The 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.

For documentation on this collection, see https://doi.org/10.18710/BFMCTV.