Supplementary material from: Application of machine learning techniques to predict biodiesel iodine value

  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

Ano de publicación: 2024

Tipo: Dataset

DOI: 10.5281/ZENODO.10671485 lock_openAcceso aberto editor

Resumo

Supplementary material from: Diez Valbuena, G., García Tuero, A., Díez, J., Rodriguez, E., & Hernández Battez, A. (2024). Application of machine learning techniques to predict biodiesel iodine value. Energy, 292(130638), 11. https://doi.org/10.1016/j.energy.2024.130638 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 Iodine Value .