Data underlying the publication: Bacterial community dynamics and disinfection impact in cooling water systems
Datacite citation style:
Pinel, I.S.M. (Ingrid); Moed, D.H. (David); Vrouwenvelder, J.S. (Hans); van Loosdrecht, M.C.M. (Mark) (2020): Data underlying the publication: Bacterial community dynamics and disinfection impact in cooling water systems. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:4d56b031-ebba-4ec6-a0e0-f185031d1ebe
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Raw 16S rRNA gene amplicon sequencing file of the DNA extracted from a full-scale cooling tower water samples during a 5-month period. The files were used to investigate the microbial dynamics and assess the growth or decay of the bacterial community members in the cooling system, when combined to flow cytometry analyses. The method allows to identify microorganisms that demonstrate higher resistance to disinfection. In general, the study contributes to a better knowledge of cooling towers and of the impact of continuous chlorination on the overall microbial community.
history
- 2020-08-20 first online, published, posted
publisher
4TU.ResearchData
format
media types: application/zip, text/plain
references
organizations
TU Delft, Faculty of Applied Sciences, Department of Biotechnology;Evides Industriewater
DATA
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- 2,037 bytesMD5:
990ffd578c9131c10757b6fbcc015f3a
README_Bacterial.txt - 55,495,638 bytesMD5:
7600e7e01bf2469fa6fe1268cd45e78d
data.zip -
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