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Dataset on the assessment of pervious concrete containing palm oil kernel shell and seashell in heavy metal removal from stormwater
The dataset currently available comprises data on the removal rates of heavy metals (Ba, Se, Cr, Fe, Cd, As, and Co) through the incorporation of seashells and palm oil kernel shells into pervious concrete for stormwater treatment. Stormwater runoff was collected from commercial areas in Taman Unive...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10519824/ https://www.ncbi.nlm.nih.gov/pubmed/37767122 http://dx.doi.org/10.1016/j.dib.2023.109570 |
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author | Khankhaje, Elnaz Kim, Taehoon Jang, Hyounseung Kim, Chang-Soo Kim, Jimin Rafieizonooz, Mahdi |
author_facet | Khankhaje, Elnaz Kim, Taehoon Jang, Hyounseung Kim, Chang-Soo Kim, Jimin Rafieizonooz, Mahdi |
author_sort | Khankhaje, Elnaz |
collection | PubMed |
description | The dataset currently available comprises data on the removal rates of heavy metals (Ba, Se, Cr, Fe, Cd, As, and Co) through the incorporation of seashells and palm oil kernel shells into pervious concrete for stormwater treatment. Stormwater runoff was collected from commercial areas in Taman University, Skudai, Johor, Malaysia. The stormwater samples underwent filtration and were preserved in high-density polyethylene (HDPE) bottles at a temperature of 4 °C for use as incoming water. The outgoing water, referred to as effluent, was obtained from tests performed on pervious concrete samples after a curing period of 28 days. The pervious concrete mixes were created with a water-to-binder ratio (w/b ratio) of 32% and a sand ratio of 10%. Three different levels of palm oil kernel shell and seashell content were used as coarse aggregate replacements: 0%, 25%, and 50%. Two single-size group were considered for both palm oil kernel shell and seashell: (6.3-9.5 mm) and (4.75-6.3 mm). Heavy metal analyses were conducted on the influent and effluent using a PerkinElmer ELAN 6100 Series Inductively Coupled Plasma– Mass Spectrometer (ICP-MS). The available datasets consist of both raw and analyzed data. |
format | Online Article Text |
id | pubmed-10519824 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105198242023-09-27 Dataset on the assessment of pervious concrete containing palm oil kernel shell and seashell in heavy metal removal from stormwater Khankhaje, Elnaz Kim, Taehoon Jang, Hyounseung Kim, Chang-Soo Kim, Jimin Rafieizonooz, Mahdi Data Brief Data Article The dataset currently available comprises data on the removal rates of heavy metals (Ba, Se, Cr, Fe, Cd, As, and Co) through the incorporation of seashells and palm oil kernel shells into pervious concrete for stormwater treatment. Stormwater runoff was collected from commercial areas in Taman University, Skudai, Johor, Malaysia. The stormwater samples underwent filtration and were preserved in high-density polyethylene (HDPE) bottles at a temperature of 4 °C for use as incoming water. The outgoing water, referred to as effluent, was obtained from tests performed on pervious concrete samples after a curing period of 28 days. The pervious concrete mixes were created with a water-to-binder ratio (w/b ratio) of 32% and a sand ratio of 10%. Three different levels of palm oil kernel shell and seashell content were used as coarse aggregate replacements: 0%, 25%, and 50%. Two single-size group were considered for both palm oil kernel shell and seashell: (6.3-9.5 mm) and (4.75-6.3 mm). Heavy metal analyses were conducted on the influent and effluent using a PerkinElmer ELAN 6100 Series Inductively Coupled Plasma– Mass Spectrometer (ICP-MS). The available datasets consist of both raw and analyzed data. Elsevier 2023-09-14 /pmc/articles/PMC10519824/ /pubmed/37767122 http://dx.doi.org/10.1016/j.dib.2023.109570 Text en © 2023 The Author(s) https://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 | Data Article Khankhaje, Elnaz Kim, Taehoon Jang, Hyounseung Kim, Chang-Soo Kim, Jimin Rafieizonooz, Mahdi Dataset on the assessment of pervious concrete containing palm oil kernel shell and seashell in heavy metal removal from stormwater |
title | Dataset on the assessment of pervious concrete containing palm oil kernel shell and seashell in heavy metal removal from stormwater |
title_full | Dataset on the assessment of pervious concrete containing palm oil kernel shell and seashell in heavy metal removal from stormwater |
title_fullStr | Dataset on the assessment of pervious concrete containing palm oil kernel shell and seashell in heavy metal removal from stormwater |
title_full_unstemmed | Dataset on the assessment of pervious concrete containing palm oil kernel shell and seashell in heavy metal removal from stormwater |
title_short | Dataset on the assessment of pervious concrete containing palm oil kernel shell and seashell in heavy metal removal from stormwater |
title_sort | dataset on the assessment of pervious concrete containing palm oil kernel shell and seashell in heavy metal removal from stormwater |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10519824/ https://www.ncbi.nlm.nih.gov/pubmed/37767122 http://dx.doi.org/10.1016/j.dib.2023.109570 |
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