Research Data Leeds Repository

Citation

Borbolla-Gaxiola, Jaime E. and Ross, Andrew B. and Dupont, Valerie (2022) Dataset associated with "Multi-variate and multi-response analysis of hydrothermal carbonization of food waste: hydrochar composition and solid fuel characteristics". University of Leeds. [Dataset] https://doi.org/10.5518/1187

Keywords:	hydrothermal carbonisation, food waste, bio-coal, hydrochar, energetics, optimisation
Divisions:	Faculty of Engineering and Physical Sciences > School of Chemical and Process Engineering
Related resources:	Location Type https://doi.org/10.3390/en15155342 Publication https://eprints.whiterose.ac.uk/189149/ Publication https://etheses.whiterose.ac.uk/31820/ Ethesis
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	19 Jul 2022 15:40
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1000
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Borbolla-Gaxiola, Jaime E. https://orcid.org/0000-0003-0902-532X University of Leeds https://ror.org/024mrxd33 ror Ross, Andrew B. University of Leeds https://ror.org/024mrxd33 ror Dupont, Valerie https://orcid.org/0000-0002-3750-0266 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: BBSRC Grant numbers: BB/S011439/1 Publication date: 2022 Resource language: English Metadata language: English Research project title: BEFWAM Publisher: University of Leeds Contact email: v.dupont@leeds.ac.uk Last Modified: 22 Jul 2024 14:45

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Associated Data for Energies [735kB] Associated Data for Energies [735kB] Associated Data for Energies [735kB] Security: Anyone File name: energies.xlsx Content type: Data Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 735kB