Advanced biolubricants from microalgae: application of machine learning and optimization techniques to a circular economy solution
Published April 24, 2024 | Version v1
Dataset Restricted

Supplementary material from: Modeling biodiesel properties by preference learning: case study of cetane number

Creators

  • 1. ROR icon University of Oviedo

Description

Data obtained from the available bibliography between the year 2002 and 2022. This document contains the FAME distribution and cetane number of  543 biodiesels.

 The dataset is divided into three sections within the worksheet.

  • The first section contains the definition of the data's feedstock and its source reference. The reference includes the year, DOI (if available, as some are collected from books), publication journal, article title, and authors.
  • The second section describes the FAME distribution, starting from C4:0 up to C24:0, including a column of unidentified FAMEs.
  • The third and final section describes the measured property Cetane Number.

Files

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Additional details

Funding

Advanced biolubricants from microalgae: application of machine learning and optimization techniques to a circular economy solution PID2022-136656NB-I00
Agencia Estatal de Investigación
Severo Ochoa predoctoral program BP22-153
Gobierno del Principado de Asturias