RISMEAU数据集:城市和农业污泥、改良土壤和渗滤液中的药物和杀菌剂浓度及其对环境的影响。

IF 1 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2024-11-15 eCollection Date: 2024-12-01 DOI:10.1016/j.dib.2024.111124
Noémie Etienne, Jean-Philippe Bedell, Pierre Benoit, Jean-Luc Bertrand-Krajewski, Elodie Brelot, Christophe Dagot, Margaux Gaschet, Alexandre Guironnet, Isabelle Lamy, Sylvie Nélieu, Dominique Patureau, Olivier Roques, Laure Wiest
{"title":"RISMEAU数据集:城市和农业污泥、改良土壤和渗滤液中的药物和杀菌剂浓度及其对环境的影响。","authors":"Noémie Etienne, Jean-Philippe Bedell, Pierre Benoit, Jean-Luc Bertrand-Krajewski, Elodie Brelot, Christophe Dagot, Margaux Gaschet, Alexandre Guironnet, Isabelle Lamy, Sylvie Nélieu, Dominique Patureau, Olivier Roques, Laure Wiest","doi":"10.1016/j.dib.2024.111124","DOIUrl":null,"url":null,"abstract":"<p><p>The RISMEAU project (<i>RISques liés aux résidus de Médicaments, biocides et antibiorésistance d'origine humaine et vétérinaire sur les ressources en EAU du bassin versant de l'Arve</i> - Risks related to residues of pharmaceuticals and biocides, and antimicrobial resistance of human and veterinary origin on the water resources of the 2083 km<sup>2</sup> Arve catchment located in the French Alps) was implanted from 2018 to 2024 on the SIPIBEL observatory. It was devoted to the evaluation of (i) transfers of and processes related to pharmaceutical residues and biocides from both urban sludge and manure spread on fields as fertilisers, and (ii) the environmental impacts of land spreading, in particular the ecotoxicological risks and antimicrobial resistance dissemination. The methodology was based on the physico-chemical, ecotoxicological and antimicrobial resistance (AMR - assessed by molecular biology) characterisation of leachate and soil matrices samples, and focused on organic waste products application at locally representative agronomic rates. This dataset can be reused by other researchers for comparison with their own investigations on this emerging topic under different contexts and conditions, and may contribute to international reviews. The database includes in total 26,217 values, measured on 348 samples of organic waste products, soil, <i>in situ</i> lysimeter leachate, earthworms, plants with 3136 usual physico-chemical values, 15,469 values on pharmaceuticals and biocides concentrations, 6827 bioassay values (ecotoxicity and phytotoxicity) and 785 values of antimicrobial resistance indicators. The 348 samples have been collected from Nov. 2019 to Dec. 2022: 4 samples in 2019, 26 in 2020, 130 in 2021 and 188 in 2022. Regarding AMR, 96 assays coding for most abundant resistance genes in healthy humans, clinically relevant antibiotic resistance genes, biocide resistance genes, heavy metal genes, integrons (class I, II and III), and mobile genetic elements (transposase genes) have been carried out.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"57 ","pages":"111124"},"PeriodicalIF":1.0000,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11647127/pdf/","citationCount":"0","resultStr":"{\"title\":\"RISMEAU dataset: Pharmaceuticals and biocides concentrations in urban and agricultural sludge, amended soil and leachate and their environmental impacts.\",\"authors\":\"Noémie Etienne, Jean-Philippe Bedell, Pierre Benoit, Jean-Luc Bertrand-Krajewski, Elodie Brelot, Christophe Dagot, Margaux Gaschet, Alexandre Guironnet, Isabelle Lamy, Sylvie Nélieu, Dominique Patureau, Olivier Roques, Laure Wiest\",\"doi\":\"10.1016/j.dib.2024.111124\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The RISMEAU project (<i>RISques liés aux résidus de Médicaments, biocides et antibiorésistance d'origine humaine et vétérinaire sur les ressources en EAU du bassin versant de l'Arve</i> - Risks related to residues of pharmaceuticals and biocides, and antimicrobial resistance of human and veterinary origin on the water resources of the 2083 km<sup>2</sup> Arve catchment located in the French Alps) was implanted from 2018 to 2024 on the SIPIBEL observatory. It was devoted to the evaluation of (i) transfers of and processes related to pharmaceutical residues and biocides from both urban sludge and manure spread on fields as fertilisers, and (ii) the environmental impacts of land spreading, in particular the ecotoxicological risks and antimicrobial resistance dissemination. The methodology was based on the physico-chemical, ecotoxicological and antimicrobial resistance (AMR - assessed by molecular biology) characterisation of leachate and soil matrices samples, and focused on organic waste products application at locally representative agronomic rates. This dataset can be reused by other researchers for comparison with their own investigations on this emerging topic under different contexts and conditions, and may contribute to international reviews. The database includes in total 26,217 values, measured on 348 samples of organic waste products, soil, <i>in situ</i> lysimeter leachate, earthworms, plants with 3136 usual physico-chemical values, 15,469 values on pharmaceuticals and biocides concentrations, 6827 bioassay values (ecotoxicity and phytotoxicity) and 785 values of antimicrobial resistance indicators. The 348 samples have been collected from Nov. 2019 to Dec. 2022: 4 samples in 2019, 26 in 2020, 130 in 2021 and 188 in 2022. Regarding AMR, 96 assays coding for most abundant resistance genes in healthy humans, clinically relevant antibiotic resistance genes, biocide resistance genes, heavy metal genes, integrons (class I, II and III), and mobile genetic elements (transposase genes) have been carried out.</p>\",\"PeriodicalId\":10973,\"journal\":{\"name\":\"Data in Brief\",\"volume\":\"57 \",\"pages\":\"111124\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2024-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11647127/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Data in Brief\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.dib.2024.111124\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/12/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data in Brief","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.dib.2024.111124","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

RISMEAU项目(RISques lisamas aux resamsidus de msamdimes,生物杀灭剂和抗菌素,生物杀灭剂和抗菌素,生物杀灭剂和抗菌素,生物杀灭剂和抗菌素sur les resources en EAU du bassin versant de l’Arve) -与药物和杀菌剂残留有关的风险,以及人类和兽医来源的抗菌素耐药性对位于法国阿尔卑斯山的2083平方公里的Arve流域水资源的影响)于2018年至2024年在SIPIBEL天文台植入。它致力于评估(i)作为肥料从城市污泥和粪肥中扩散到田地的药物残留物和杀菌剂的转移和相关过程,以及(ii)土地扩散的环境影响,特别是生态毒理学风险和抗菌素耐药性传播。该方法基于渗滤液和土壤基质样品的物理化学、生态毒理学和抗菌素耐药性(AMR -通过分子生物学评估)特征,并重点关注有机废物在当地具有代表性的农艺率下的应用。该数据集可以被其他研究人员在不同背景和条件下与他们自己对这一新兴主题的调查进行比较,并可能有助于国际评论。该数据库包括对348个有机废物、土壤、原位渗滤液、蚯蚓、植物样品测量的26,217个值,其中有3136个通常的物理化学值,15,469个药物和杀菌剂浓度值,6827个生物测定值(生态毒性和植物毒性)和785个抗菌素抗性指标值。2019年11月至2022年12月采集了348份样本:2019年4份,2020年26份,2021年130份,2022年188份。在AMR方面,对健康人群中最丰富的耐药基因、临床相关的抗生素耐药基因、杀菌剂耐药基因、重金属基因、整合子(I、II、III类)和移动遗传元件(转座酶基因)进行了96项编码试验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
RISMEAU dataset: Pharmaceuticals and biocides concentrations in urban and agricultural sludge, amended soil and leachate and their environmental impacts.

The RISMEAU project (RISques liés aux résidus de Médicaments, biocides et antibiorésistance d'origine humaine et vétérinaire sur les ressources en EAU du bassin versant de l'Arve - Risks related to residues of pharmaceuticals and biocides, and antimicrobial resistance of human and veterinary origin on the water resources of the 2083 km2 Arve catchment located in the French Alps) was implanted from 2018 to 2024 on the SIPIBEL observatory. It was devoted to the evaluation of (i) transfers of and processes related to pharmaceutical residues and biocides from both urban sludge and manure spread on fields as fertilisers, and (ii) the environmental impacts of land spreading, in particular the ecotoxicological risks and antimicrobial resistance dissemination. The methodology was based on the physico-chemical, ecotoxicological and antimicrobial resistance (AMR - assessed by molecular biology) characterisation of leachate and soil matrices samples, and focused on organic waste products application at locally representative agronomic rates. This dataset can be reused by other researchers for comparison with their own investigations on this emerging topic under different contexts and conditions, and may contribute to international reviews. The database includes in total 26,217 values, measured on 348 samples of organic waste products, soil, in situ lysimeter leachate, earthworms, plants with 3136 usual physico-chemical values, 15,469 values on pharmaceuticals and biocides concentrations, 6827 bioassay values (ecotoxicity and phytotoxicity) and 785 values of antimicrobial resistance indicators. The 348 samples have been collected from Nov. 2019 to Dec. 2022: 4 samples in 2019, 26 in 2020, 130 in 2021 and 188 in 2022. Regarding AMR, 96 assays coding for most abundant resistance genes in healthy humans, clinically relevant antibiotic resistance genes, biocide resistance genes, heavy metal genes, integrons (class I, II and III), and mobile genetic elements (transposase genes) have been carried out.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
期刊最新文献
A global gross primary productivity of sunlit and shaded canopies dataset from 2002 to 2020 via embedding random forest into two-leaf light use efficiency model. Dataset of keywords used by European political parties on Facebook. IDDMSLD: An image dataset for detecting Malabar spinach leaf diseases. The media framing dataset: Analyzing news narratives in Mexico and Colombia. Transcriptome datasets of salt-stressed tomato plants treated with zinc oxide nanoparticles.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1