Microbial Community Data from Longyou Grottoes Under Different Light Conditions

Figshare hosts a dataset investigating artificial light's impact on microbial communities in the Longyou Grottoes. The 673.8 MB dataset includes metagenomic and 16S rRNA sequencing data from sandstone surfaces under artificial light, sunlight, and dark conditions. Researcher 星月 Li published the data in March 2026.

Use Cases

• Analyze shifts in microbial phyla like Cyanobacteriota, Pseudomonadota, and Actinomycetota relative to light exposure.
• Model stochastic versus deterministic community assembly processes using Neutral Community Model and Normalized Stochasticity Ratio metrics.
• Compare alpha diversity indices and co-occurrence network complexity across artificial light, sunlight, and dark environments.
• Investigate functional metabolic pathway shifts, such as assimilatory nitrogen metabolism under artificial light or nitrification in darkness.

Strengths

• Data includes 16S rRNA high-throughput sequencing and metagenomic sequencing for comprehensive community profiling.
• Experimental design compares three distinct light environments (artificial, sunlight, dark) for controlled analysis.
• Functional analysis includes metrics like biofilm protection ratio and metabolic pathway potential.

Limitations

• The dataset size of 673.8 MB suggests a medium-scale study, but the exact sample or sequence count is unknown.
• Findings are geographically specific to the Longyou Grottoes, limiting direct generalizability to other heritage sites.
• The description lacks details on specific file formats, column structures, or replication within the ZIP archive.

Provenance

Source

Figshare, authored by 星月 Li.

Collection Method

Biological covers on sandstone surfaces were sampled and analyzed using 16S rRNA high-throughput sequencing and metagenomic sequencing.

Freshness

Data was last updated on March 15, 2026, indicating recent publication.

Geography

Longyou Grottoes.