PBC4GGR: UKRI Coppice Willow and Grassland Biomass and Environmental Data

Field measurement datasets for the UKRI Perennial Biomass Crops for Greenhouse Gas Reduction demonstrator project. It contains plant organ biomass, site meteorology, soil data, water content, carbon flux, and light interception, along with modelled growth variables. The dataset accompanies a manuscript submitted to GCB Bioenergy in April 2026.

Use Cases

• Modeling plant growth and biomass partitioning based on field measurements of aboveground and belowground biomass.
• Studying soil carbon sequestration potential based on soil data and modelled outputs from the SalixFor and DayCent models.
• Analyzing greenhouse gas fluxes from agricultural land based on eddy covariance tower carbon flux data.
• Calibrating crop growth models using combined field-measured and modelled environmental and plant variables.

Strengths

• Dataset size is 58.7 MB, containing multiple file types (PDF, JPG, TXT, XLSX, DOCX, CSV, PPTX) for varied data presentation.
• Includes a descriptive metadata file (file 0_) for each of the other data files, aiding interpretation.
• Contains both raw field measurements and modelled analysis variables, providing a multi-faceted view of the system.
• Accompanies a peer-reviewed manuscript submitted to GCB Bioenergy, suggesting academic rigor.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale modelling tasks.
• Column-level documentation is absent; field semantics must be inferred after download from the metadata files.
• The dataset's specific geographic and temporal coverage is not detailed in the provided description.

Provenance

Source

UKRI Perennial Biomass Crops for Greenhouse Gas Reduction (PBC4GGR) demonstrator project, with contributors from University of Aberdeen, Rothamsted Research, and other institutions.

Collection Method

Field measurements and subsequent modelling using the SalixFor model for willow and the DayCent model for grassland.

Freshness

Last updated 2026-05-19 22:44:37

Geography

Likely United Kingdom, based on the UKRI funding and project name, but not explicitly stated.