2024Mesocosm_Warming_Pollution_Simplification

A mesocosm experiment dataset investigating the combined effects of warming, surface runoff pollution, and food web simplification on freshwater ecosystems. The data was generated by Chenghao Du using 48 large-scale field mesocosms and published under a CC-BY-4.0 license. It was last updated on figshare in May 2026.

Use Cases

• Modeling the individual and combined effects of warming on freshwater ecosystem metrics.
• Analyzing the impact of surface runoff pollution, including inorganic particles and nutrients, on water quality and stability.
• Studying the consequences of food web simplification on ecosystem functioning.
• Training models to predict freshwater ecosystem responses to multiple concurrent environmental stressors.

Strengths

• Experimental design uses 48 large-scale field mesocosms, providing a controlled yet realistic environment.
• Explicitly tests three distinct stressors (warming, pollution, simplification) both individually and in combination.
• Published under a permissive CC-BY-4.0 license, facilitating reuse and sharing.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• The dataset is small in size (236.0 KB), suggesting a limited scope of variables or observations.

Provenance

Source

Chenghao Du via figshare

Collection Method

Data collected from a controlled field experiment using 48 large-scale mesocosms.

Freshness

Last updated 2026-05-23 11:13:04; freshness should be verified.