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resumen

Resumen
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 [ver mas...]
dc.contributor.authorYebra, Marta
dc.contributor.authorScortechini, Gianluca
dc.contributor.authorAdeline, Karine
dc.contributor.authorAktepe, Nursema
dc.contributor.authorBeget, Maria Eugenia
dc.contributor.authorBoer, Matthias
dc.contributor.authorBrown, Tegan
dc.contributor.authorChuvieco, Emilio
dc.contributor.authorDe Bella, Carlos M.
dc.contributor.authorForsyth, Greg
dc.contributor.authorGranda, Elena
dc.date.accessioned2024-06-28T11:31:22Z
dc.date.available2024-06-28T11:31:22Z
dc.date.issued2024-04
dc.identifier.issn2052-4463
dc.identifier.otherhttps://doi.org/10.1038/s41597-024-03159-6
dc.identifier.urihttp://hdl.handle.net/20.500.12123/18297
dc.identifier.urihttps://www.nature.com/articles/s41597-024-03159-6
dc.description.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. GlobeLFMC 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.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherSpringer Naturees_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceScientific Data 11 : Article number: 332 (2024)es_AR
dc.subjectEcofisiología
dc.subjectEcophysiologyeng
dc.subjectFisiología Vegetal
dc.subjectPlant Physiologyeng
dc.subject.otherData Seteng
dc.subject.otherConjunto de Datoses_AR
dc.subject.otherLive Fuel Moistureeng
dc.subject.otherHumedad del Combustible Vivoes_AR
dc.titleGlobe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content researches_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)es_AR
dc.description.origenInstituto de Clima y Agua
dc.description.filFil: Yebra, Marta. Australian National University. Fenner School of Environment & Society; Australiaes_AR
dc.description.filFil: Scortechini, Gianluca. Australian National University. Fenner School of Environment & Society; Australiaes_AR
dc.description.filFil: Adeline, Karine. Université de Toulouse, OneRA / DOtA; Franciaes_AR
dc.description.filFil: Beget, María Eugenia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentinaes_AR
dc.description.filFil: Boer, Matthias. Western Sydney University. Hawkesbury Institute for the Environment; Australiaes_AR
dc.description.filFil: Brown, Tegan. US Forest Service. Rocky Mountain Research Station, Fire Sciences Laboratory; Estados Unidoses_AR
dc.description.filFil: Chuvieco, Emilio. University of Alcalá. Department of Geology, Geography and the Environment; Españaes_AR
dc.description.filFil: Di Bella, Carlos Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos; Argentinaes_AR
dc.description.filFil: Forsyth, Greg. cSiR, nRe, Stellenbosch, Sudáfricaes_AR
dc.description.filFil: Granda, Elena. Universidad de Alcalá. Departamento de Ciencias de la Vida; Españaes_AR
dc.description.filFil: Aktepe, Nursema. Kastamonu Universit. Department of Biology; Turquíaes_AR
dc.subtypecientifico


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