Soil stoichiometry, microbial biomass, extracellular enzyme activity, and microbial abunda

Soil samples from 11 sites on the northern Tibetan Plateau contain measurements of physicochemical properties, microbial biomass, enzyme activities, and microbial abundance. The dataset, created by Luyun Chen and last updated on 2026-04-26, includes soil organic carbon, total nitrogen, phosphorus, C:N:P ratios, bacterial and fungal abundance, and extracellular enzyme activities. These data can be used to examine associations between precipitation variation and soil elemental imbalance, microbial stoichiometric stability, and resource-acquisition strategies.

Use Cases

• Modeling soil microbial resource-acquisition strategies based on extracellular enzyme activity data.
• Analyzing soil elemental imbalance and stoichiometric stability based on soil C:N:P and microbial biomass stoichiometry.
• Investigating relationships between precipitation gradients and microbial community abundance based on bacterial and fungal counts.
• Studying ecoenzymatic stoichiometry and nutrient cycling based on enzyme stoichiometric ratios, vector length, and vector angle.

Strengths

• Includes a multi-faceted suite of 18+ measured variables such as soil organic carbon, microbial biomass C/N/P, and enzyme activities.
• Data is collected from 11 distinct sites along a natural precipitation gradient, providing spatial context.
• File size is 28.4 KB, indicating a compact and likely focused dataset for specific analyses.

Limitations

• Row count is unknown, which may limit suitability assessment for statistical modeling.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small in scale (28.4 KB), indicating limited scope and sample size.

Provenance

Source

figshare, author Luyun Chen.

Collection Method

Soil samples were collected from 11 sites across a natural precipitation gradient.

Freshness

Last updated 2026-04-26 10:44:07; freshness should be verified.

Geography

Northern Tibetan Plateau.