The University of Southampton
University of Southampton Institutional Repository

Dataset for 'Comparison of variable and constant loading for mesophilic food waste digestion in a long-term experiment'

Dataset for 'Comparison of variable and constant loading for mesophilic food waste digestion in a long-term experiment'
Dataset for 'Comparison of variable and constant loading for mesophilic food waste digestion in a long-term experiment'
This dataset supports the publication: Song H, Zhang Y, Kusch-Brandt S and Banks CJ (2020) Comparison of variable and constant loading for mesophilic food waste digestion in a long-term experiment in Energies. This dataset includes the calculation for Figure 2. 'VFA profiles', Figure 3. 'Operational parameters' and Figure 4. '28-days rolling average volumetric methane production'.
University of Southampton
Zhang, Yue
69b11d32-d555-46e4-a333-88eee4628ae7
Banks, C.J.
48cf6a8f-0667-4baa-9c13-082d5c3fa380
Song, He
77e0cbaf-abc4-4afd-a2a0-5fb7ac453645
Kusch-Brandt, Sigrid
d48e7631-618c-45a2-9db4-0dbdd9701f97
Zhang, Yue
69b11d32-d555-46e4-a333-88eee4628ae7
Banks, C.J.
48cf6a8f-0667-4baa-9c13-082d5c3fa380
Song, He
77e0cbaf-abc4-4afd-a2a0-5fb7ac453645
Kusch-Brandt, Sigrid
d48e7631-618c-45a2-9db4-0dbdd9701f97

Song, He (2020) Dataset for 'Comparison of variable and constant loading for mesophilic food waste digestion in a long-term experiment'. University of Southampton doi:10.5258/SOTON/D1266 [Dataset]

Record type: Dataset

Abstract

This dataset supports the publication: Song H, Zhang Y, Kusch-Brandt S and Banks CJ (2020) Comparison of variable and constant loading for mesophilic food waste digestion in a long-term experiment in Energies. This dataset includes the calculation for Figure 2. 'VFA profiles', Figure 3. 'Operational parameters' and Figure 4. '28-days rolling average volumetric methane production'.

Spreadsheet
Datafile_AD_FW_Var_vs_ConOrgLoad.xlsx - Dataset
Available under License Creative Commons Attribution.
Download (627kB)
Text
Dataset_read_me.txt - Text
Available under License Creative Commons Attribution.
Download (1kB)

More information

Published date: 2020

Identifiers

Local EPrints ID: 438477
URI: http://eprints.soton.ac.uk/id/eprint/438477
PURE UUID: 85221376-bbb3-49af-9c9d-f3251deff54d
ORCID for Yue Zhang: ORCID iD orcid.org/0000-0002-5068-2260

Catalogue record

Date deposited: 11 Mar 2020 17:30
Last modified: 06 May 2023 01:39

Export record

Altmetrics

Contributors

Research team head: Yue Zhang ORCID iD
Research team head: C.J. Banks
Creator: He Song
Other: Sigrid Kusch-Brandt

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×