Band width selection data from Near Infra-red Spectral (NIRS) quantitative modelling of energy storage components (protein, lipid, glycogen) for single and multi-bivalve species models

Data presented in this article are related to the research article entitled “Near Infra-red spectroscopy quantitative modelling of bivalve protein, lipid and glycogen composition using single-species versus multi-species calibration and validation sets” [1]. Band width selections were determined usi...

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Bibliographic Details
Published in:Data in Brief
Main Authors: Jill K. Bartlett, William A. Maher, Matthew B.J. Purss
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2018
Subjects:
Computer applications to medicine. Medical informatics
R858-859.7
Science (General)
Q1-390
Crassostrea gigas
Online Access:https://doi.org/10.1016/j.dib.2018.04.054
https://doaj.org/article/545cc615611848dab71ed0f51ea78590
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Summary:Data presented in this article are related to the research article entitled “Near Infra-red spectroscopy quantitative modelling of bivalve protein, lipid and glycogen composition using single-species versus multi-species calibration and validation sets” [1]. Band width selections were determined using a data-driven approach to modelling Near Infra-red Spectra (NIRS) of protein, lipid and glycogen content in bivalves. Models were produced for single species and combined species of Saccostrea glomerata, Ostrea angasi, Crassostrea gigas, Mytilus galloprovincialis and Anadara trapezia. Band width selection was undertaken using Fourier wavelet transformation coupled with a genetic algorithm (GA) to aggregate adjacent wavelet bands to select the minimum number of IR bands that were consistently identified in the majority of individual spectra.

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