Yoshino Cherry and Ginkgo Phenology from Social Media Across Six Chinese Cities

Social media user-generated content provides phenological data for Yoshino Cherry peak flowering and Ginkgo peak leaf coloration across six Chinese cities from 2014 to 2024. This dataset reveals contrasting climate-phenology relationships between spatial and temporal scales. It was created by Xiaoyi Xing and published on figshare in April 2026.

Use Cases

• Analyze spatial variation in Yoshino Cherry peak flowering date (PFD) across six cities to identify temperature-driven patterns.
• Model interannual variability in Ginkgo peak leaf coloration (PLC) using temperature and precipitation data to reveal scale-dependent effects.
• Compare climate-phenology relationships for PLC between central-eastern and western inland Chinese cities using principal component regression.
• Investigate the precipitation-driven interannual variability of PFD in most cities, contrasting with the temperature-driven pattern in coastal Dalian.

Strengths

• Covers a 10-year time range from 2014 to 2024.
• Includes data for two distinct phenophases (PFD and PLC) across six cities.
• Analyzes contrasting climate responses on spatial versus temporal scales.

Limitations

• The dataset is small, contained within a 192.7 KB PDF file.
• Phenological data is derived from social media, which may introduce observation bias.
• Limited to six cities, restricting broad geographic generalization.

Provenance

Source

figshare, authored by Xiaoyi Xing.

Collection Method

Phenological data retrieved from user-generated content on social media platforms.

Time Range

2014-2024

Freshness

Data current through 2024, with the file last updated in April 2026.

Geography

Six Chinese cities.