Early-life exposures to diet soda and aspartame are associated with autism in males

# Early-life exposures to diet soda and aspartame are associated with autism in males. [https://doi.org/10.5061/dryad.cfxpnvx2p](https://doi.org/10.5061/dryad.cfxpnvx2p) Please see the attached READ ME file, which contains both a detailed data dictionary and also an 'exposure-variables map' worksheet, to describe which exposure variables were included in each of the tables and figures in our manuscript. ## Description of the data and file structure We have organized the variables in our dataset into the following categories, and ordered them in this sequence: 1\. numeric study identifiers 2\. demographic variables and other covariates 3\. diagnosis\- and regression\-related variables 4\. early\-life exposures through maternal diet during pregnancy or breastfeeding: a. computed daily exposure variables, dichotomized b. computed minimum mean-daily-equivalent exposure variables, dichotomized c. original retrospective dietary recall data recorded by biological mothers, for their pregnancy or breastfeeding periods This READ ME file describes the meanings of values of numeric variables; missing data codes; and abbreviations used. ## Sharing/Access information This dataset stored and hosted by Dryad is the sole way of accessing the data used in all analyses in our published manuscript. All the data used in our published manuscript were derived from the Autism Tooth Fairy Study, led by Raymond F. Palmer, Ph.D, Principal Investigator, and Lynne ## Code/Software This is an optional, freeform section for describing any code in your submission and the software used to run it. Describe any scripts, code, or notebooks (e.g., R, Python, Mathematica, MatLab) as well as the software versions (including loaded packages) that you used to run those files. If your repository contains more than one file whose relationship to other scripts is not obvious, provide information about the workflow that you used to run those scripts and notebooks.