Citation of manuscript: Jelena Milešević, Lourdes Samaniego, Mairead Kiely, Maria Glibetić, Mark Roe, Paul Finglas, Specialized food composition dataset for vitamin D content in foods based on European standards: Application to dietary intake assessment, Food Chemistry, Volume 240, 2018, Pages 544-549, ISSN 0308-8146, https://doi.org/10.1016/j.foodchem.2017.07.135. (https://www.sciencedirect.com/science/article/pii/S030881461731289X) Abstract: A review of national nutrition surveys from 2000 to date, demonstrated high prevalence of vitamin D intakes below the EFSA Adequate Intake (AI) (<15μg/d vitamin D) in adults across Europe. Dietary assessment and modelling are required to monitor efficacy and safety of ongoing strategic vitamin D fortification. To support these studies, a specialized vitamin D food composition dataset, based on EuroFIR standards, was compiled. The FoodEXplorer™ tool was used to retrieve well documented analytical data for vitamin D and arrange the data into two datasets - European (8 European countries, 981 data values) and US (1836 data values). Data were classified, using the LanguaL™, FoodEX2 and ODIN classification systems and ranked according to quality criteria. Significant differences in the content, quality of data values, missing data on vitamin D2 and 25(OH)D3 and documentation of analytical methods were observed. The dataset is available through the EuroFIR platform. Keywords: Vitamin D; Food composition database; Food fortification; Intakes

These two data sets are collections of best quality data on vitamin D content in foods, available in Europe (hosted by EuroFIRTM) and in US (hosted by USDA- in SR26). Data was collected in period of 2014-2015. Search criteria included analytical and manufactures' data sources, and these are sorted in food groups and vitamin D forms- vitamin D total (expressed in ug/100g or IU, and converted to ug), vitamin D3 (ug/100g), vitamin D2 (ug/100g), vitamin 25OHD (ug/100g). A manuscript describing creation process of these two dataset is uploaded as well.