Cargando…
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...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5997973/ https://www.ncbi.nlm.nih.gov/pubmed/29904653 http://dx.doi.org/10.1016/j.dib.2018.04.054 |
_version_ | 1783331156797685760 |
---|---|
author | Bartlett, Jill K. Maher, William A. Purss, Matthew B.J. |
author_facet | Bartlett, Jill K. Maher, William A. Purss, Matthew B.J. |
author_sort | Bartlett, Jill K. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5997973 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-59979732018-06-14 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 Bartlett, Jill K. Maher, William A. Purss, Matthew B.J. Data Brief Chemistry 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. Elsevier 2018-04-22 /pmc/articles/PMC5997973/ /pubmed/29904653 http://dx.doi.org/10.1016/j.dib.2018.04.054 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Chemistry Bartlett, Jill K. Maher, William A. Purss, Matthew B.J. 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 |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5997973/ https://www.ncbi.nlm.nih.gov/pubmed/29904653 http://dx.doi.org/10.1016/j.dib.2018.04.054 |
work_keys_str_mv | AT bartlettjillk bandwidthselectiondatafromnearinfraredspectralnirsquantitativemodellingofenergystoragecomponentsproteinlipidglycogenforsingleandmultibivalvespeciesmodels AT maherwilliama bandwidthselectiondatafromnearinfraredspectralnirsquantitativemodellingofenergystoragecomponentsproteinlipidglycogenforsingleandmultibivalvespeciesmodels AT purssmatthewbj bandwidthselectiondatafromnearinfraredspectralnirsquantitativemodellingofenergystoragecomponentsproteinlipidglycogenforsingleandmultibivalvespeciesmodels |