READ ME File For 'DATASET for Towards quantifying biomarkers for respiratory distress in preterm infants: Machine learning on mid infrared spectroscopy of lipid mixtures'

Dataset DOI:https://doi.org/10.5258/SOTON/D2532

ReadMe Author: Waseem Ahmed, University of Southampton


This dataset supports the publication:
AUTHORS: Waseem Ahmed, Aneesh Vincent Veluthandath, Jens Madsen, Howard W. Clark, Ahilanandan Dushianthan, Anthony D. Postle, James S. Wilkinson, Ganapathy Senthil Murugan
TITLE: 'Towards quantifying biomarkers for respiratory distress in preterm infants: Machine learning on mid infrared spectroscopy of lipid mixtures'
JOURNAL: Talanta, Volume 275, 2024, 126062, ISSN 0039-9140
DOI: https://doi.org/10.1016/j.talanta.2024.126062.


Description:
The csv files contain data used to generate the figures in the main manuscript.  Each file has a header corresponding to the data in each of the comma separated columns.

Related projects:
Engineering and Physical Sciences Research Council (EPSRC) grant no: EP/S03109X/1

Dataset available under a CC BY 4.0 licence


Publisher: University of Southampton, U.K.

Date: June 2024