five

Data underlying the publication: Meta-omics profiling of full-scale groundwater rapid sand filters explains stratification of iron, ammonium and manganese removals.

收藏
4TU.ResearchData2024-06-12 更新2026-04-23 收录
下载链接:
https://data.4tu.nl/datasets/d64691d3-b5a9-4270-b545-796a51bb9fb9/1
下载链接
链接失效反馈
官方服务:
资源简介:
We hypothesized that genetically homogeneous RSFs’ microbial communities hold the ability to rapidly modify their pool of expressed proteins to metabolically respond to the environmental conditions encountered at a given filter height. To this end, we quantified the in situ removal of iron, manganese, and ammonium, and resolved the taxonomy and function of the microbial communities along the filter height of two full-scale RSF plants, one dual-media (anthracite and sand) single filter system and one comprising two single-media sand filters in series.The data here presented comprises the mineral content of the coating as well as the metaproteomics and metagenomics of the microbial communities.<br>

本研究提出假设:基因均一的快速砂滤池(RSF)的微生物群落,具备快速调控自身表达蛋白质组,以代谢响应特定滤层高度处环境条件的能力。为此,本研究定量测定了铁、锰、氨氮的原位去除效果,并沿两座全尺寸快速砂滤系统的滤层高度,解析了微生物群落的分类学特征与功能特性;其中一座为双介质(无烟煤与砂)单滤池系统,另一座由两台单介质砂滤池串联组成。本数据集涵盖滤层涂层的矿物组成数据,以及微生物群落的宏蛋白质组学(metaproteomics)与宏基因组学(metagenomics)数据。
创建时间:
2024-06-12
二维码
社区交流群
二维码
科研交流群
商业服务