Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research

Globe-LFMC 2.0, an updated version of Globe-LFMC, is a comprehensive dataset of over 280,000 Live Fuel Moisture Content (LFMC) measurements. These measurements were gathered through field campaigns conducted in 15 countries spanning 47 years. In contrast to its prior version, Globe-LFMC 2.0 incorporates over 120,000 additional data entries, introduces more than 800 new sampling sites, and comprises LFMC values obtained from samples collected until the calendar year 2023. Each entry within the dataset provides essential information, including date, geographical coordinates, plant species, functional type, and, where available, topographical details. Moreover, the dataset encompasses insights into the sampling and weighing procedures, as well as information about land cover type and meteorological conditions at the time and location of each sampling event. Globe-LFMC 2.0 can facilitate advanced LFMC research, supporting studies on wildfire behaviour, physiological traits, ecological dynamics, and land surface modelling, whether remote sensing-based or otherwise. This dataset represents a valuable resource for researchers exploring the diverse LFMC aspects, contributing to the broader field of environmental and ecological research.

The early stages of dataset compilation were made possible through the Australian Government Research Training Program Domestic Scholarship. Subsequent efforts received financial support from the Bushfire Research Centre of Excellence, supported by the Australian National University and Optus. The data provided by the Hawkesbury Institute for the Environment was funded by the NSW Department of Planning and Environment via the NSW Bushfire and Risk Management Research Hub. CNES, focused on BIODIVERSITY space mission under the APR project named SentHyMED 28 supported the work with A. Karine, J.B. Feret and J.M. Limousin as contacts and the raw dataset 29 . Portuguese FCT - Fundacao para a Ciencia e Teconologia in the framework of the researcher contract DL57/2016/CP1442/CP0005 supported the work of A. Monteiro. The data provided by the James Hutton Institute was funded by the Scottish Government via Nature Scot. We acknowledge the incorporation of sections of the datasets at zenodo.org/records/162978 (CC BY 4.0) 13 and zenodo.org/records/4694854 (CC BY 4.0) 12 into Globe-LFMC 2.0 15 . The meteorological data was generated using Copernicus Climate Change Service information 2023 (AgERA5) (https://doi.org/10.24381/cds.6c68c9bb, Accessed in May, June and July 2023). The land cover type data was retrieved from the online Data Pool, courtesy of the NASA EOSDIS Land Processes Distributed Active Archive Center (LP DAAC), USGS Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, https://lpdaa.usgs.gov/tools/data-pool/ (Accessed in Aug and Sep 2023).