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

2024; Nature Portfolio; Volume: 11; Issue: 1 Linguagem: Inglês

10.1038/s41597-024-03159-6

2052-4463

Marta Yebra, Gianluca Scortechini, Karine Adeline, Nursema Aktepe, Turkia AbdAlkarem Almoustafa, Avi Bar‐Massada, María Eugenia Beget, Matthias M. Boer, Ross A. Bradstock, Tegan Brown, Francesc Xavier Castro, Rui Chen, Emilio Chuvieco, F. Mark Danson, Cihan Ünal Değirmenci, Ruth Delgado‐Dávila, Philip E. Dennison, Carlos M. Di Bella, Oriol Domenech, Jean‐Baptiste Féret, Greg G. Forsyth, Eva Gabriel, Zisis Gagkas, Fatma Gharbi, Elena Granda, Anne Griebel, Binbin He, Matt Jolly, Ivan Kotzur, Tineke Kraaij, Agnes Kristina, Pınar Kütküt, Jean‐Marc Limousin, M. Pilar Martín, António T. Monteiro, Marco Morais, Bruno Moreira, Florent Mouillot, Samukelisiwe Msweli, Rachael H. Nolan, Grazia Pellizzaro, Yi Qi, Xingwen Quan, Víctor Resco de Dios, Dar A. Roberts, Çağatay Tavşanoğlu, Andy F. S. Taylor, Jackson Taylor, İrem Tüfekcioğlu, Andrea Ventura, Nicolas Younes Cardenas,

Landslides and related hazards

Abstract 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.