Title of the dataset: 
Dataset associated to publication: "High-rate biological selenate reduction in a sequencing batch reactor for recovery of hexagonal selenium"

Creators:
- Bingnan Song (ORCID: 0000-0001-5662-7564)
Department of Environmental Technology, Wageningen University and Research, Wageningen, the Netherlands
- Z. Tian
Department of Environmental Technology, Wageningen University and Research, Wageningen, the Netherlands
- R.D. van der Weijden (ORCID: 0000-0003-3877-1911)
Biological Recovery & Re-use Technology, Wageningen University and Research, Wageningen, the Netherlands
- C.J.N. Buisman (0000-0002-3820-1137)
Biological Recovery & Re-use Technology, Wageningen University and Research, Wageningen, the Netherlands
- J. Weijma* (ORCID: 0000-0001-5324-6088)
Biological Recovery & Re-use Technology, Wageningen University and Research, Wageningen, the Netherlands 
*corresponding author, jan.weijma@wur.nl, P.O. Box 17; 6700 AA Wageningen; the Netherlands

For questions, contact Bingnan Song (bingnan.song@wur.nl)

Related publication: 
High-rate biological selenate reduction in a sequencing batch reactor for recovery of hexagonal selenium
https://doi.org/10.1016/j.watres.2021.116855

Description:
This dataset contains data collected during the operation of a sequencing batch reactor for biological selenate reduction to elemental selenium at Wageningen University and Research, used in the publication: High-rate biological selenate reduction in a sequencing batch reactor for recovery of hexagonal selenium, Water Research, 2021, 116855, ISSN 0043-1354, https://doi.org/10.1016/j.watres.2021.116855
This work was supported by the Netherlands Enterprise Agency's TKI program, within the project Biocrystallization of Selenium down to ultra-low levels, with number 2016WUR003, and the student was supported by the China Scholarship Council.

Keywords:
biological selenate reduction; ethanol; selenium recovery; selenite; sequencing batch reactor

Temporal coverage:
This data was collected in the Laboratory of the Wageningen University (Environmental Technology), between 2018 and 2020.

This dataset contains the following files:
- data and figures.xslx
- data.csv

Methods, materials and software:
The analytical methods and sampling information as described in the publication.

This dataset is published under the CC BY (Attribution) license.
This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator.