Daily Lake Metabolism Measurements from a Kansas Reservoir, 9 Sites

Daily estimates of net ecosystem production, gross primary production, and ecosystem respiration from 9 locations in Clinton Lake, Kansas, USA, throughout a growing season. The data was produced by Christopher F. Frazier using dissolved oxygen monitoring and Bayesian hierarchical generalized additive mixed models. The dataset was last updated on 2026-04-21.

Use Cases

• Modeling relationships between thermal stratification and metabolic rates based on the described environmental predictors.
• Analyzing spatiotemporal variation in autotrophy and heterotrophy in polymictic systems.
• Studying the influence of wind-driven mixing on ecosystem function in engineered reservoirs.
• Establishing a baseline for monitoring changes in eutrophic reservoir ecosystems.

Strengths

• Data includes daily metabolism estimates for 9 distinct locations, enabling spatial analysis.
• Analysis incorporates multiple environmental predictors, including thermal stratification, temperature, wind, and phytoplankton.
• Methodology uses Bayesian hierarchical generalized additive mixed models, which can account for complex spatiotemporal patterns.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 36.5 MB file size suggests a relatively small dataset, potentially limiting model training scope.

Provenance

Source

Christopher F. Frazier via figshare.

Collection Method

Estimated from dissolved oxygen monitoring and modeled using Bayesian hierarchical generalized additive mixed models.

Time Range

A single growing season (specific years not provided).

Freshness

Last updated 2026-04-21 11:32:53; freshness should be verified.

Geography

Clinton Lake, a reservoir in Kansas, USA.