European Forest Disturbance and Thermal Recovery Data Supporting a 2026 Study

A 1.0 GB collection of code and data supporting the 2026 study 'Controls on post-disturbance warming and thermal recovery across Europe’s forests'. The dataset, authored by a multi-institutional team led by Yang Su and Yidi Xu, is hosted on figshare. It likely contains geospatial and tabular data related to forest disturbances and land surface temperature changes across Europe.

Use Cases

• Modeling post-disturbance land surface temperature changes based on the study's focus on thermal recovery.
• Analyzing controls on forest warming after disturbances as described in the research title.
• Training machine learning models to predict thermal recovery rates across different European forest types.
• Conducting spatial analysis of forest disturbance impacts using the likely geospatial data components.

Strengths

• Dataset size is 1.0 GB, indicating substantial content.
• Includes associated code, which may facilitate reproducibility of the 2026 study.
• License is CC-BY-4.0, allowing for open sharing and reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Research team led by Yang Su and Yidi Xu from institutions including École Normale Supérieure and Laboratoire des Sciences du Climat et de l’Environnement.

Collection Method

Created for and used in the cited scientific study; method likely involves remote sensing and statistical analysis.

Time Range

null

Freshness

Last updated 2026-04-21 17:05:25; freshness should be verified.

Geography

Europe's forests, as indicated by the study title.