Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research
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Published:2024-04-04
Issue:1
Volume:11
Page:
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ISSN:2052-4463
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Container-title:Scientific Data
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language:en
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Short-container-title:Sci Data
Author:
Yebra MartaORCID, Scortechini GianlucaORCID, Adeline Karine, Aktepe Nursema, Almoustafa Turkia, Bar-Massada AviORCID, Beget María Eugenia, Boer MatthiasORCID, Bradstock Ross, Brown Tegan, Castro Francesc Xavier, Chen Rui, Chuvieco EmilioORCID, Danson Mark, Değirmenci Cihan Ünal, Delgado-Dávila Ruth, Dennison PhilipORCID, Di Bella CarlosORCID, Domenech Oriol, Féret Jean-Baptiste, Forsyth Greg, Gabriel Eva, Gagkas ZisisORCID, Gharbi Fatma, Granda Elena, Griebel Anne, He Binbin, Jolly Matt, Kotzur Ivan, Kraaij TinekeORCID, Kristina Agnes, Kütküt Pınar, Limousin Jean-Marc, Martín M. Pilar, Monteiro Antonio T., Morais Marco, Moreira Bruno, Mouillot Florent, Msweli SamukelisiweORCID, Nolan Rachael H.ORCID, Pellizzaro Grazia, Qi Yi, Quan XingwenORCID, Resco de Dios VictorORCID, Roberts DarORCID, Tavşanoğlu ÇağatayORCID, Taylor Andy F. S., Taylor Jackson, Tüfekcioğlu İrem, Ventura Andrea, Younes Cardenas Nicolas
Abstract
AbstractGlobe-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.
Publisher
Springer Science and Business Media LLC
Reference31 articles.
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2 articles.
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