Table 1_Functional diversity in bacterial communities of an integrated constructed wetland

A 16S rRNA gene metagenomic sequencing dataset from an integrated constructed wetland system treating 1 MLD (Million Liters per Day) of sewage since 2014. The data was generated by Nidhi Seth and explores bacterial functional groups in sludge and rhizospheric sediments, correlating them with water quality changes. It was last updated on 2026-05-28.

Use Cases

• Identify bacterial taxa associated with carbon fermentation and sulphate reduction based on the prevalence of Firmicutes, Desulfobacterota, and Methylomirabilota in the stabilization pond.
• Analyze microbial groups linked to nitrogen reduction based on the reported prevalence of Nitrospirota and Planctomycetota in rhizospheric sediments.
• Model microbial co-occurrence networks to predict functional exchanges within the wetland community based on the described analysis methods.
• Design strategies to improve constructed wetland performance based on the identification of primary bacterial taxa and their putative functions.

Strengths

• Data is associated with a specific, operational constructed wetland system treating 1 MLD of sewage since 2014.
• Analysis includes correlation and co-occurrence network methods to link microbial taxa with water quality parameters.
• Dataset is shared under a permissive CC-BY-4.0 license.

Limitations

• The dataset is very small (30.0 KB), suggesting limited scope or summary-level data rather than raw sequencing reads.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for statistical modeling.

Provenance

Source

figshare, author Nidhi Seth.

Collection Method

16S rRNA gene metagenomic sequencing of samples from a stabilization pond and rhizospheric sediments of an integrated constructed wetland.

Time Range

Samples likely collected from a system operational since 2014; specific collection date is not stated.

Freshness

Last updated 2026-05-28 14:37:51; freshness should be verified.