five

Bacterial 16S sequences from aerosol samples of Zero Carbon Building in Hong Kong

收藏
DataCite Commons2020-09-04 更新2024-07-25 收录
下载链接:
https://figshare.com/articles/dataset/Bacterial_16S_sequences_from_aerosol_samples_of_Zero_Carbon_Building_in_Hong_Kong/1433906/2
下载链接
链接失效反馈
官方服务:
资源简介:
Currently, there is no information pertaining to the airborne bacterial communities (microbiota) of green buildings. In this study, the air bacterial community of a zero-carbon building (ZCB) in Hong Kong is characterized by targeting the bacterial 16S rRNA gene. Bacteria associated with the outdoor environment and occupant skin dominate the indoor air microbiota. Differences in overall community diversity, membership, and composition associated with short (day-to-day) and long-term temporal properties are detected, which may be driven by specific environmental genera and taxa. Furthermore, time-decay relationships in community membership (based on unweighted UniFrac distances) and composition (based on weighed UniFrac distances) differ depending on the season and sampling location. A Bayesian source-tracking approach further supports the importance of adjacent outdoor air microbiota in sourcing the ZCB indoor microbiota. Despite the unique building attributes, the ZCB microbiota detected and its temporal characteristics are not dissimilar to that of built environments investigated previously. In the future, controlled experiments and microbiota investigations of other ZCB will undoubtedly uncover additional knowledge related to how microbiomes in green buildings are influenced by their distinctive architectural attributes.<b><br> </b>
提供机构:
figshare
创建时间:
2017-11-03
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作