Data underlying the publication: The effect of organic matter fractions on micropollutant ozonation in wastewater effluents
DOI:10.4121/20553198.v1
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DOI: 10.4121/20553198
DOI: 10.4121/20553198
Datacite citation style:
Koen van Gijn; Yudong Zhao; Arun Balasubramaniama; Arnoud de Wilt; Livio Carlucci et. al. (2022): Data underlying the publication: The effect of organic matter fractions on micropollutant ozonation in wastewater effluents. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/20553198.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
by
Koen van Gijn
,
Yudong Zhao,
Arun Balasubramaniama,
Arnoud de Wilt
,
Livio Carlucci,
Alette Langenhoff,
Huub Rijnaarts
,
Yudong Zhao,
Arun Balasubramaniama,
Arnoud de Wilt
,
Livio Carlucci,
Alette Langenhoff,
Huub Rijnaarts
Data underlying the publication: Optimizing micropollutant removal by ozonation; interference of effluent organic matter fractions. In this dataset, the raw data on which the figures in the abovementioned publication are based can be found. Detailed description of the related data can be found in the README.
History
- 2022-08-23 first online, published, posted
Publisher
4TU.ResearchDataFormat
xlsx files with data and python and R scriptsAssociated peer-reviewed publication
The effect of organic matter fractions on micropollutant ozonation in wastewater effluentsReferences
Funding
- TKI topsector water and Royal HaskoningDHV
Organizations
Environmental Technology, Wageningen University & ResearchDATA
Files (17)
- 1,657 bytesMD5:
da6e9d4beef195bf78c92ecc5b6623dcREADME.txt - 18,124 bytesMD5:
84f7c4969b5733341743c5665941082aApplied ozone doses.xlsx - 8,754 bytesMD5:
ca035d66165d02a63542849241264ac2Figure 1 and S7 fraction composition error bars.xlsx - 11,100 bytesMD5:
f4862c84c763cf897ea35db8fe79923cFigure 1 and S7 fraction composition.xlsx - 470,385 bytesMD5:
a7b60c395d7751050c8c3c42e500e1b1Figure 2-4 and S12-S15 MP removal membrane fractions.xlsx - 286,756 bytesMD5:
cb0cf9e20df7f2a1bbf0d3409f4abc77Figure 2-4 and S12-S15 MP removal resinfractions.xlsx - 4,321 bytesMD5:
63e85688c48acd28237ae0236db6dedaFigure 3 MP bars python script.py - 3,563 bytesMD5:
5f18d0569b1f6b2e7c0a5e693ef6284eFigure 4 MP scatter groups python script.py - 92,030 bytesMD5:
0caf8dcdc2a1633c86e9a8ea3e2a9c8dPARAFAC.7z - 29,005 bytesMD5:
cc26660124cd22913145b99c6d798da2SI Figure S11 literature resin compositions.xlsx - 46,991 bytesMD5:
55336b6ed5eee1848af2c3460917abfcSI Figure S3a membrane fractionation triplicate.xlsx - 23,792 bytesMD5:
3505bf168e4d81845b147d525d391ff7SI Figure S3b resinfractionation triplicate.xlsx - 1,912,805 bytesMD5:
c48e4bfee6bd070de2309cbc8a95a432SI figure S5 dilution experiment.xlsx - 54,465 bytesMD5:
2cfb76ce68b9c65ef978c5c0f69ec4e6SI Figure S8 and S9 PARAFAC component composition.xlsx - 34,950 bytesMD5:
d2cf4a8b0b5a2b7ada984bdd7f65c88aSI Figure S9 Mann-Whitney test MP removal data.xlsx - 1,150 bytesMD5:
b7305d94c175256450c7d16c9573b6b6SI Figure S9 Mann-Whitney test R script.R - 242,314 bytesMD5:
daab3a806bd22a8213fc0e64825782ceTable 2 and S13 single correlations.xlsx -
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