Soil Microbial Community and Function Data from a Greenhouse Bioremediation Experiment

A greenhouse experiment by Hui Nie investigated the effects of microbial inoculants on soil restoration. The dataset includes measurements of 17 soil functions related to carbon, nitrogen, phosphorus, and sulfur cycling, alongside amplicon sequencing data for bacterial and fungal communities. It was last updated on figshare in May 2026.

Use Cases

• Modeling relationships between microbial community structure and soil multifunctionality based on amplicon sequencing data.
• Analyzing the impact of specific inoculants (Bacillus thuringiensis NL-11, SynCom) on plant biomass and labile nutrient pools.
• Studying co-occurrence networks and ecological modules in soil microbiomes under different treatment conditions.
• Training models to predict soil health indicators from microbial community composition data.

Strengths

• Includes data on 17 distinct soil functions related to C, N, P, and S cycling.
• Contains amplicon sequencing data for both bacterial and fungal communities.
• Compares four specific experimental treatments: control, NL-11, SynCom, and BSynCom.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (11.2 KB), indicating a limited scope.

Provenance

Source

Hui Nie via figshare

Collection Method

Greenhouse experiment with soil sampling, functional assays, and amplicon sequencing.

Freshness

Last updated 2026-05-09 18:23:00; freshness should be verified.