Welcome to ScholarsArchive Data. This includes data that faculty, staff, and students collected for their research papers. Data sets are linked to papers, if applicable, and papers in ScholarsArchive that have accompanying data are linked to the corresponding data sets. To submit your data, please click on Submit Research under Author Corner in the left sidebar.
Submissions from 2013
Annotated Chromatographic Isotope Features from a Highly Complex Mass Spectrometry Proteomic Dataset (MOUSE) for Feature Detection Algorithm Evaluation, John T. Prince and Christoper Conley