Datasets included in: Bokan Bao+, Benjamin P. Kellman+, Austin W. T. Chiang, Austin K. York, Mahmoud A. Mohammad, Morey W. Haymond, Lars Bode, and Nathan E. Lewis. 2019. “Correcting for Sparsity and Non-Independence in Glycomic Data through a System Biology Framework.” bioRxiv. https://doi.org/10.1101/693507 Central Datasets - Github_Yang2019_EPO - paper_hmo These are the HMO and EPO datasets used throughout the majority of the manuscript. They are formatted consistent with the github code repository: https://github.com/LewisLabUCSD/GlyCompare Additional Datasets - Webapp_Jin2017_Mucin - Webapp_Riley2019_SiteSpecN - Webapp_Sibile2016_Glycolipid These are additional datasets explored in the final figure and supplement of the manuscript formatted for the webapp: https://glycompare.herokuapp.com/ All datasets but Riley2019 have structural data, Riley2019 only contains compositional data Detailed Descriptions Github_Yang2019_EPO Sixteen MALDI-TOF glycoprofiles of EPO, where each EPO glycoprofile was produced in a different glycoengineered CHO cell line- paper_hmo Forty-eight HPLC glycoprofiles of HMO from six mothers22. Webapp_Jin2017_Mucin Mucin-type O-glycans from tumor and normal samples from gastrointestinal cancers Webapp_Riley2019_SiteSpecN Site-specific N-glycosylation in mouse brain Webapp_Sibile2016_Glycolipid Glycolipid abundance in Rat eye, brain and blood