Cotton Stomatal Conductance Model Data Under Drip Irrigation in Xinjiang

A dataset supporting the optimization of stomatal conductance models for cotton under drip irrigation in Northern Xinjiang. The data likely contains field study measurements used to compare and refine three models (BWB, BBL, USO) over a two-year period. The dataset was authored by Wenting Qi and last updated on May 11, 2026.

Use Cases

• Comparing the accuracy of stomatal conductance models (BWB, BBL, USO) based on field data.
• Optimizing irrigation strategies for cotton by analyzing model performance under different soil moisture limits.
• Investigating the impact of leaf temperature and soil water potential on stomatal conductance based on the described optimization factors.
• Validating improved stomatal models that incorporate temperature and water potential response functions.

Strengths

• The dataset is associated with a two-year field study, suggesting temporal replication.
• Model performance is quantified with specific R² improvement percentages (e.g., 1.94%–55.98%).
• The description identifies the most accurate model configuration (USO with ΔT, f(θ), and f(T)).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (126.1 KB), indicating a limited scope of data.

Provenance

Source

figshare

Collection Method

Two-year field study on cotton under plastic film drip irrigation.

Freshness

Last updated 2026-05-11 09:44:07; freshness should be verified.

Geography

Changji, Xinjiang, China.