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Supporting dataset and methods for Transplacental Transfer of Organochlorine Pesticides: Concentration Ratio and Chiral Properties
The dataset and methods provided in this article supports “Transplacental Transfer of Organochlorine Pesticides: Concentration Ratio and Chiral Properties” [1]. The supplementary data were as follows: 1) the information on pretreatment and instrumental methods.2) the data for concentration in the ma...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6675946/ https://www.ncbi.nlm.nih.gov/pubmed/31388523 http://dx.doi.org/10.1016/j.dib.2019.104278 |
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author | Yin, Shanshan Zhang, Jianyun Guo, Fangjie Zhao, Lu Poma, Giulia Covaci, Adrian Liu, Weiping |
author_facet | Yin, Shanshan Zhang, Jianyun Guo, Fangjie Zhao, Lu Poma, Giulia Covaci, Adrian Liu, Weiping |
author_sort | Yin, Shanshan |
collection | PubMed |
description | The dataset and methods provided in this article supports “Transplacental Transfer of Organochlorine Pesticides: Concentration Ratio and Chiral Properties” [1]. The supplementary data were as follows: 1) the information on pretreatment and instrumental methods.2) the data for concentration in the maternal serum, cord serum and placenta samples and data interpretation. 3) the correlation between the influence factors and the log-transformed concentrations of the chemicals samples. 4) the dataset for transplacental transfer ratio of the OCPs and correlations with influencing factors. |
format | Online Article Text |
id | pubmed-6675946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-66759462019-08-06 Supporting dataset and methods for Transplacental Transfer of Organochlorine Pesticides: Concentration Ratio and Chiral Properties Yin, Shanshan Zhang, Jianyun Guo, Fangjie Zhao, Lu Poma, Giulia Covaci, Adrian Liu, Weiping Data Brief Chemistry The dataset and methods provided in this article supports “Transplacental Transfer of Organochlorine Pesticides: Concentration Ratio and Chiral Properties” [1]. The supplementary data were as follows: 1) the information on pretreatment and instrumental methods.2) the data for concentration in the maternal serum, cord serum and placenta samples and data interpretation. 3) the correlation between the influence factors and the log-transformed concentrations of the chemicals samples. 4) the dataset for transplacental transfer ratio of the OCPs and correlations with influencing factors. Elsevier 2019-07-17 /pmc/articles/PMC6675946/ /pubmed/31388523 http://dx.doi.org/10.1016/j.dib.2019.104278 Text en © 2019 The Authors 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 | Chemistry Yin, Shanshan Zhang, Jianyun Guo, Fangjie Zhao, Lu Poma, Giulia Covaci, Adrian Liu, Weiping Supporting dataset and methods for Transplacental Transfer of Organochlorine Pesticides: Concentration Ratio and Chiral Properties |
title | Supporting dataset and methods for Transplacental Transfer of Organochlorine Pesticides: Concentration Ratio and Chiral Properties |
title_full | Supporting dataset and methods for Transplacental Transfer of Organochlorine Pesticides: Concentration Ratio and Chiral Properties |
title_fullStr | Supporting dataset and methods for Transplacental Transfer of Organochlorine Pesticides: Concentration Ratio and Chiral Properties |
title_full_unstemmed | Supporting dataset and methods for Transplacental Transfer of Organochlorine Pesticides: Concentration Ratio and Chiral Properties |
title_short | Supporting dataset and methods for Transplacental Transfer of Organochlorine Pesticides: Concentration Ratio and Chiral Properties |
title_sort | supporting dataset and methods for transplacental transfer of organochlorine pesticides: concentration ratio and chiral properties |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6675946/ https://www.ncbi.nlm.nih.gov/pubmed/31388523 http://dx.doi.org/10.1016/j.dib.2019.104278 |
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