Machine Learning Coupled Model Reveals Spatial Patterns of Ammonia Volatilization Emission

A database of 93 observations on ammonia volatilization from rice paddies, compiled by Jiabei Sun through a systematic literature review. The dataset was used to generate county-level background emission maps for the Yangtze River Delta region using random forest models. It was last updated on May 14, 2026.

Use Cases

• Modeling spatial patterns of ammonia emission factors based on environmental drivers mentioned in the description
• Generating regional-scale emission maps for the Yangtze River Delta based on county-level data
• Analyzing the relationship between background ammonia emissions and rice-growing season conditions
• Training or validating random forest models for environmental variable quantification

Strengths

• Compiled from a systematic literature review of 93 observations.
• Includes county-level spatial mapping for the Yangtze River Delta region.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Row count and specific column definitions are unknown, limiting suitability assessment.
• Data freshness should be verified as the last update date is in the future (2026-05-14).

Provenance

Source

figshare, author Jiabei Sun

Collection Method

Compiled via systematic literature review and analyzed with regression and random forest models.

Freshness

Last updated 2026-05-14 11:55:35

Geography

Yangtze River Delta rice paddies