Global Forest Deadwood Dynamics Data Supporting Climate Change Research

Global forest data and code for the manuscript 'Climate change accelerates global forest deadwood dynamics'. The dataset, authored by Pascal Edelmann, comprises 10.3 GB of files in multiple formats including CSV, R, and TIF. It was last updated on May 23, 2026.

Use Cases

• Modeling global forest carbon stocks based on deadwood dynamics
• Analyzing climate change impacts on forest decomposition rates
• Training machine learning models for ecological forecasting using the provided code and data
• Validating satellite-derived biomass estimates with ground-truth-like deadwood data

Strengths

• Dataset size is 10.3 GB, indicating substantial data volume.
• Includes multiple file formats (NC, XML, TXT, XLSX, TIF, TIFF, R, MAT, CSV, RDA, RDS) for flexibility.
• Associated with a peer-reviewed manuscript published in Nature Communications Earth & Environment (DOI: 10.1038/s43247-026-03651-4).

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

figshare

Freshness

Last updated 2026-05-23 07:11:14; freshness should be verified.

Geography

Global