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

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

From MaRDI portal



DOI10.5281/zenodo.10671486Zenodo10671486MaRDI QIDQ6704808

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 16 February 2024

Copyright license: No records found.



Description

Supplementary material from: Diez Valbuena, G., Garca Tuero, A., Dez, J., Rodriguez, E., Hernndez 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 .






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