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Abstract Aims and objectives: The aim of this manuscript is to provide an overview of the population and languages studied and the methods and practices surrounding the definition of bilingualism in children below age 3. Methodology: A quantitative descriptive scoping review Data and analysis: From 530 articles, we identified 127 papers (167 studies) that met our predefined criteria, of which 144 studies defined their bilingual population. Findings/conclusions: The samples investigated were predominantly western in geographical origin and languages. Percent exposure was the most common method to measure bilingualism among infants and young children, with 20% and 25% the most used cutoffs as the minimum requirement for children’s second language. We also analyzed the predictive value of these cutoffs on the likelihood that studies reported a significant difference between monolinguals and bilinguals. The stricter the inclusion requirement for bilinguals was, the higher the odds of a study to report a difference between monolingual and bilingual children. We conclude that a lack of uniformity of definition in the field may be one factor that predicts whether or not significant differences are reported. Originality: This scoping review provides developmental researchers with a unique overview of the different practices used in the field to characterize bilingual and monolingual infants/toddlers. The reported results can be used as preliminary evidence for the field to report and carefully formulate how to categorize monolinguals and bilingual infants. Significance/implications: As globalization continues to foster migration and intercultural exchange, it is essential for developmental researchers to diversify their samples and language groups. We highly encourage researchers to carefully document the definitions and rationale for all their language groups and to consider analyzing the impact of bilingualism both from a categorical and continuous approach. Keywords Bilingualism, infancy, toddlerhood, scoping review, measures, definition 

When children learn their native language, they tend to treat objects as if they only have one label—a principle known as mutual exclusivity. However, bilingual children are faced with a different cognitive challenge—they need to learn to associate two labels with one object. In the present study, we compared bilingual and monolingual 24-month-olds' performance on a challenging and semi-naturalistic forced-choice referent selection task and retention test. Overall, both language groups performed similarly on referent selection but differed on retention. Specifically, while monolingual infants showed some retention, bilingual infants performed at chance and significantly worse than their monolingual peers. 

The WUDAPT (World Urban Database and Access Portal Tools project goal is to capture consistent information on urban form and function for cities worldwide that can support urban weather, climate, hydrology and air quality modeling. These data are provided as urban canopy parameters (UCPs) as used by weather, climate and air quality models to simulate the effects of urban surfaces on the overlying atmosphere. Information is stored with different levels of detail (LOD). With higher LOD greater spatial precision is provided. At the lowest LOD, Local Climate Zones (LCZ) with nominal UCP ranges is provided (order 100 m or more). To describe the spatial heterogeneity present in cities with great specificity at different urban scales we introduce the Digital Synthetic City (DSC) tool to generate UCPs at any desired scale meeting the fit-for-purpose goal of WUDAPT. 3D building and road elements of entire city landscapes are simulated based on readily available data. Comparisons with real-world urban data are very encouraging. It is customized (C-DSC) to incorporate each city's unique building morphologies based on unique types, variations and spatial distribution of building typologies, architecture features, construction materials and distribution of green and pervious surfaces. The C-DSC uses crowdsourcing methods and sampling within city Testbeds from around the world. UCP data can be computed from synthetic images at selected grid sizes and stored such that the coded string provides UCP values for individual grid cells.