Given the complexity in microbial transformation of arsenic in deep aquifer sediment, we aim to shade light of indigenous bacterial community structure in arsenic-enriched deep aquifer sediment and how the communities changes under controlled redox condition favoring reductive dissolution and release of arsenic from the sediment.
GBIF url: https://www.gbif.org/dataset/80d288d5-0900-4522-8969-3344b73ead87
Homepage: https://www.ebi.ac.uk/metagenomics/studies/MGYS00004301
Citation: MGnify (2019). Sediment sample Metagenome. Sampling event dataset https://doi.org/10.15468/tah7ev accessed via GBIF.org on 2025-10-28.
GBIF url: https://www.gbif.org/dataset/80d288d5-0900-4522-8969-3344b73ead87
Homepage: https://www.ebi.ac.uk/metagenomics/studies/MGYS00004301
Citation: MGnify (2019). Sediment sample Metagenome. Sampling event dataset https://doi.org/10.15468/tah7ev accessed via GBIF.org on 2025-10-28.
資料集編號
80d288d5-0900-4522-8969-3344b73ead87 (DatasetUUID)
其他標題
資料集作者
資料集發佈者
MGnify
資料集來源
GBIF
資料集標籤
資料集關鍵字
敏感標示
本資料集無敏感資料
授權
創用CC-姓名標示
詮釋資料更新日期
2025-10-28
觀測資料最新匯入日期
類群
被子植物
紀錄筆數
510
下載次數
3,861