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Microbiological dataset of rural drinking water supplies in Zahedan, Iran

The residual chlorine and microbial quality of drinking water in the Zahedan villages by a number of1221 samples from all 168 villages were collected between 2014–2015. Then the samples were evaluated using 9-tube fermentation methods and portable chlorine method test. Based on the microbial colifor...

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Autores principales: RadFard, Majid, Biglari, Hamed, Soleimani, Hamed, Akbari, Hesam, Akbari, Hamed, Faraji, Hossein, Dehghan, Omid, Abbasnia, Abbas, Hosseini, Mona, Adibzadeh, Amir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6127982/
https://www.ncbi.nlm.nih.gov/pubmed/30197918
http://dx.doi.org/10.1016/j.dib.2018.08.049
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author RadFard, Majid
Biglari, Hamed
Soleimani, Hamed
Akbari, Hesam
Akbari, Hamed
Faraji, Hossein
Dehghan, Omid
Abbasnia, Abbas
Hosseini, Mona
Adibzadeh, Amir
author_facet RadFard, Majid
Biglari, Hamed
Soleimani, Hamed
Akbari, Hesam
Akbari, Hamed
Faraji, Hossein
Dehghan, Omid
Abbasnia, Abbas
Hosseini, Mona
Adibzadeh, Amir
author_sort RadFard, Majid
collection PubMed
description The residual chlorine and microbial quality of drinking water in the Zahedan villages by a number of1221 samples from all 168 villages were collected between 2014–2015. Then the samples were evaluated using 9-tube fermentation methods and portable chlorine method test. Based on the microbial coliform and fecal coliform indices, the data indicated that the maximum and minimum controlling of the bacteria in the distribution network were in the winter (90.62%) and autumn (85.56%), respectively. Also in the reservoirs, the maximum and minimum controlling of the bacteria were in winter (93.49%) and autumn (87.35%), respectively. The residual chlorine was prepared in almost all of seasons.
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spelling pubmed-61279822018-09-07 Microbiological dataset of rural drinking water supplies in Zahedan, Iran RadFard, Majid Biglari, Hamed Soleimani, Hamed Akbari, Hesam Akbari, Hamed Faraji, Hossein Dehghan, Omid Abbasnia, Abbas Hosseini, Mona Adibzadeh, Amir Data Brief Agricultural and Biological Science The residual chlorine and microbial quality of drinking water in the Zahedan villages by a number of1221 samples from all 168 villages were collected between 2014–2015. Then the samples were evaluated using 9-tube fermentation methods and portable chlorine method test. Based on the microbial coliform and fecal coliform indices, the data indicated that the maximum and minimum controlling of the bacteria in the distribution network were in the winter (90.62%) and autumn (85.56%), respectively. Also in the reservoirs, the maximum and minimum controlling of the bacteria were in winter (93.49%) and autumn (87.35%), respectively. The residual chlorine was prepared in almost all of seasons. Elsevier 2018-08-23 /pmc/articles/PMC6127982/ /pubmed/30197918 http://dx.doi.org/10.1016/j.dib.2018.08.049 Text en Crown Copyright © 2018 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Agricultural and Biological Science
RadFard, Majid
Biglari, Hamed
Soleimani, Hamed
Akbari, Hesam
Akbari, Hamed
Faraji, Hossein
Dehghan, Omid
Abbasnia, Abbas
Hosseini, Mona
Adibzadeh, Amir
Microbiological dataset of rural drinking water supplies in Zahedan, Iran
title Microbiological dataset of rural drinking water supplies in Zahedan, Iran
title_full Microbiological dataset of rural drinking water supplies in Zahedan, Iran
title_fullStr Microbiological dataset of rural drinking water supplies in Zahedan, Iran
title_full_unstemmed Microbiological dataset of rural drinking water supplies in Zahedan, Iran
title_short Microbiological dataset of rural drinking water supplies in Zahedan, Iran
title_sort microbiological dataset of rural drinking water supplies in zahedan, iran
topic Agricultural and Biological Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6127982/
https://www.ncbi.nlm.nih.gov/pubmed/30197918
http://dx.doi.org/10.1016/j.dib.2018.08.049
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