Supplementary material from: Application of machine learning techniques to predict biodiesel iodine value
Description
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 .
Files
Files
(52.7 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:27c314df851114ba559adabc6b577f85
|
52.7 kB | Download |
Additional details
Related works
- Is supplement to
- Journal article: 10.1016/j.energy.2024.130638 (DOI)
Funding
- Agencia Estatal de Investigación
- Advanced biolubricants from microalgae: application of machine learning and optimization techniques to a circular economy solution PID2022-136656NB-I00