Supplementary material from: Prediction of the Cold Flow Properties of Biodiesel using the FAME Distribution and Machine Learning Techniques

  1. Díez Valbuena, Guillermo 1
  2. García Tuero, Alejandro 1
  3. Díez, Jorge 1
  4. Rodríguez-Ordóñez, Eduardo 1
  5. Hernández Battez, Antolin 1
  1. 1 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

Editor: Zenodo

Año de publicación: 2024

Tipo: Dataset

CC BY 4.0

DOI: 10.5281/ZENODO.10670349 lock_openAcceso abierto editor

Resumen

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 properties Cloud Point (CP), Cold Filter Plugging Point (CFPP) and Pour Point (PP).