Data underlying the PhD thesis: Ecophysiology of N2O-emitting microbial communities

The dataset includes files from the PhD thesis that were not included as supplementary information of research articles. The objective of the study was to deepen our understanding of microbial communities that convert nitrogen and produce nitrous oxide. Microbial communities were studied in the laboratory and in a wastewater treatment plant. The datasets include: 1) all the nitrogen and carbon measurements performed in two lab-scale bioreactors enriched in denitrifying microorganisms; 2) the nitrification and denitrification activities of the wastewater treatment plant microbiomes measured every two weeks between January 2021 and May 2022, including the raw data; 3) the full-scale wastewater treatment plant operation data collected by the operators during the same period. All data is included in excel format.; 4) the functional annotations of the coding sequences predicted from the DNA data collected from a full-scale wastewater treatment plant; 5) the mean abundance of each protein (in percentage) in the samples collected from the full-scale wastewater treatment plant; 6) the standard error of these protein abundances calculated from technical duplicates.

本数据集包含未被收录为研究论文补充材料的博士学位论文件。本研究旨在加深对参与氮转化并产生一氧化二氮（nitrous oxide）的微生物群落的认知。研究覆盖实验室环境与全规模污水处理厂内的微生物群落。数据集包含以下内容：
1. 于两台富集反硝化微生物（denitrifying microorganisms）的实验室规模生物反应器中完成的全部氮、碳含量测定数据；
2. 2021年1月至2022年5月期间每两周采集一次的污水处理厂微生物组（microbiome）硝化（nitrification）与反硝化（denitrification）活性数据，包含原始数据（raw data）；
3. 同期由运营人员收集的全规模污水处理厂运行数据；
4. 从全规模污水处理厂采集的DNA数据中预测得到的编码序列（coding sequences）功能注释（functional annotations）信息；
5. 全规模污水处理厂采集的样本中各蛋白质的平均丰度（以百分比计）；
6. 通过技术重复（technical duplicates）样本计算得到的上述蛋白质丰度的标准误（standard error）。
所有数据均以Excel格式存储。