14 Works
Data from: The Vitamin D Status in Inflammatory Bowel Disease
Lauren Veit, Louise S. Maranda, Jay Fong & Benjamin U. NwosuData from: Children with type 1 diabetes who experienced a honeymoon phase had significantly lower LDL cholesterol 5 years after diagnosis
Benjamin U. Nwosu, Bo Zhang, Sanaa S. Ayyoub, Stephanie Choi, Tony R. Villalobos-Ortiz, Laura C. Alonso & Bruce A. BartonData from: The Effects of Vitamin D Supplementation on Hepatic Dysfunction, Vitamin D Status, and Glycemic Control in Children and Adolescents with Vitamin D Deficiency and Either Type 1 or Type 2 Diabetes Mellitus
Benjamin Nwosu & Louise Maranda
This dataset (.xlsx file, 47 KB) is the primary data source for the following published study: Nwosu BU, Maranda L (2014) The Effects of Vitamin D Supplementation on Hepatic Dysfunction, Vitamin D Status, and Glycemic Control in Children and Adolescents with Vitamin D Deficiency and Either Type 1 or Type 2 Diabetes Mellitus. PLoS ONE 9(6): e99646. doi:10.1371/journal.pone.0099646.
Data from: Tobacco smoke exposure is an independent predictor of vitamin D deficiency in US children
Benjamin Nwosu & Philip Kum-NjiData from: Vitamin D Status in Pediatric Irritable Bowel Syndrome
Benjamin U. Nwosu, Louise S. Maranda & Ninfa CandelaData from: Lactose Intolerance: Lack of Evidence for Short Stature or Vitamin D Deficiency in Prepubertal Children
Nithya Setty-Shah, Louise Maranda, Ninfa Candela, Jay Fong, Idris Dahod, Alan Rogol & Benjamin Nwosu
This dataset (.csv file, 11 KB) is the primary data source for the following published study: Setty-Shah N, Maranda L, Candela N, Fong J, Dahod I, et al. (2013) Lactose Intolerance: Lack of Evidence for Short Stature or Vitamin D Deficiency in Prepubertal Children. PLoS ONE 8(10): e78653. doi:10.1371/journal.pone.0078653
Data from: The Institutional Repository Landscape in Medical Schools and Academic Health Centers: A 2018 Snapshot View and Analysis
Daniel Kipnis, Ramune Kubilius & Lisa Palmer
This dataset supports a research study and forthcoming paper where we used survey research methods to gain a deeper understanding of the institutional repository (IR) landscape in medical schools and academic health centers. The dataset is composed of a set of comma-delimited (.csv) files and a text README file. Information about the dataset, including a file list, can be found in the README file.