Wandy, J. , McBride, R., Weidt, S., Rogers, S. , Terzis, N., van der Hooft, J. J. J., Bryson, K. , Daly, R. and Davies, V. (2022) DDA and DIA data for ViMMS 2.0. [Data Collection]

Collection description

This dataset contains the mzML files produced from liquid chromatography tandem mass spectrometry (LC-MS/MS) measurements of 6 beer samples. Data acquisition was performed using newly developed Data-Dependent Acquisition (DDA) and Data-Independent Acquisition (DIA) controllers in the ViMMS 2.0 framework. For DDA this includes the fullscan, Top-N and all methods introduced in the TopNEXt paper. For DIA this includes the AIF and SWATH methods.

Funding:	Engineering and Physical Sciences Research Council (EPSRC) [EP/R018634/1]
College / School:	College of Medical Veterinary and Life Sciences College of Science and Engineering > School of Computing Science College of Science and Engineering > School of Mathematics and Statistics
Date Deposited:	15 Dec 2022 12:13
URI:	https://researchdata.gla.ac.uk/id/eprint/1382
Additional details Additional details Type of data: Text Collection period: From To 5 July 2022 29 July 2022 Date: 15 December 2022 Date type: Publication Additional information: Funding also acknowledged from University of Glasgow Reinvigorating Research Grant Resource language: EN Status: Published Data Publisher: University of Glasgow Copyright holders: University of Glasgow Last Modified: 04 Jul 2023 08:46

Available Files

Data

mzML.zip mzML.zip mzML.zip Visible to: Anyone Content type: Data Metadata Revision: 2 Mime-Type: application/zip License: Creative Commons: Attribution 4.0 File size: 2GB

Read me

README.md README.md README.md Visible to: Anyone Content type: Read me Metadata Revision: 2 Mime-Type: text/plain License: Creative Commons: Attribution 4.0 File size: 2kB

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