Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research
- Autores
- Yebra, Marta; Scortechini, Gianluca; Adeline, Karine; Aktepe, Nursema; Beget, Maria Eugenia; Boer, Matthias; Brown, Tegan; Chuvieco, Emilio; De Bella, Carlos M.; Forsyth, Greg; Granda, Elena
- Año de publicación
- 2024
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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. 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.
Instituto de Clima y Agua
Fil: Yebra, Marta. Australian National University. Fenner School of Environment & Society; Australia
Fil: Scortechini, Gianluca. Australian National University. Fenner School of Environment & Society; Australia
Fil: Adeline, Karine. Université de Toulouse, OneRA / DOtA; Francia
Fil: Beget, María Eugenia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Boer, Matthias. Western Sydney University. Hawkesbury Institute for the Environment; Australia
Fil: Brown, Tegan. US Forest Service. Rocky Mountain Research Station, Fire Sciences Laboratory; Estados Unidos
Fil: Chuvieco, Emilio. University of Alcalá. Department of Geology, Geography and the Environment; España
Fil: Di Bella, Carlos Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos; Argentina
Fil: Forsyth, Greg. cSiR, nRe, Stellenbosch, Sudáfrica
Fil: Granda, Elena. Universidad de Alcalá. Departamento de Ciencias de la Vida; España
Fil: Aktepe, Nursema. Kastamonu Universit. Department of Biology; Turquía - Fuente
- Scientific Data 11 : Article number: 332 (2024)
- Materia
-
Ecofisiología
Fisiología Vegetal
Ecophysiology
Plant Physiology
Data Set
Live Fuel Moisture
Conjunto de Datos
Humedad del Combustible Vivo - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/18297
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Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content researchYebra, MartaScortechini, GianlucaAdeline, KarineAktepe, NursemaBeget, Maria EugeniaBoer, MatthiasBrown, TeganChuvieco, EmilioDe Bella, Carlos M.Forsyth, GregGranda, ElenaEcofisiologíaFisiología VegetalEcophysiologyPlant PhysiologyData SetLive Fuel MoistureConjunto de DatosHumedad del Combustible VivoGlobe-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.Instituto de Clima y AguaFil: Yebra, Marta. Australian National University. Fenner School of Environment & Society; AustraliaFil: Scortechini, Gianluca. Australian National University. Fenner School of Environment & Society; AustraliaFil: Adeline, Karine. Université de Toulouse, OneRA / DOtA; FranciaFil: Beget, María Eugenia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; ArgentinaFil: Boer, Matthias. Western Sydney University. Hawkesbury Institute for the Environment; AustraliaFil: Brown, Tegan. US Forest Service. Rocky Mountain Research Station, Fire Sciences Laboratory; Estados UnidosFil: Chuvieco, Emilio. University of Alcalá. Department of Geology, Geography and the Environment; EspañaFil: Di Bella, Carlos Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos; ArgentinaFil: Forsyth, Greg. cSiR, nRe, Stellenbosch, SudáfricaFil: Granda, Elena. Universidad de Alcalá. Departamento de Ciencias de la Vida; EspañaFil: Aktepe, Nursema. Kastamonu Universit. Department of Biology; TurquíaSpringer Nature2024-06-28T11:31:22Z2024-06-28T11:31:22Z2024-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/18297https://www.nature.com/articles/s41597-024-03159-62052-4463https://doi.org/10.1038/s41597-024-03159-6Scientific Data 11 : Article number: 332 (2024)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-04T09:50:28Zoai:localhost:20.500.12123/18297instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-04 09:50:28.562INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
dc.title.none.fl_str_mv |
Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research |
title |
Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research |
spellingShingle |
Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research Yebra, Marta Ecofisiología Fisiología Vegetal Ecophysiology Plant Physiology Data Set Live Fuel Moisture Conjunto de Datos Humedad del Combustible Vivo |
title_short |
Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research |
title_full |
Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research |
title_fullStr |
Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research |
title_full_unstemmed |
Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research |
title_sort |
Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research |
dc.creator.none.fl_str_mv |
Yebra, Marta Scortechini, Gianluca Adeline, Karine Aktepe, Nursema Beget, Maria Eugenia Boer, Matthias Brown, Tegan Chuvieco, Emilio De Bella, Carlos M. Forsyth, Greg Granda, Elena |
author |
Yebra, Marta |
author_facet |
Yebra, Marta Scortechini, Gianluca Adeline, Karine Aktepe, Nursema Beget, Maria Eugenia Boer, Matthias Brown, Tegan Chuvieco, Emilio De Bella, Carlos M. Forsyth, Greg Granda, Elena |
author_role |
author |
author2 |
Scortechini, Gianluca Adeline, Karine Aktepe, Nursema Beget, Maria Eugenia Boer, Matthias Brown, Tegan Chuvieco, Emilio De Bella, Carlos M. Forsyth, Greg Granda, Elena |
author2_role |
author author author author author author author author author author |
dc.subject.none.fl_str_mv |
Ecofisiología Fisiología Vegetal Ecophysiology Plant Physiology Data Set Live Fuel Moisture Conjunto de Datos Humedad del Combustible Vivo |
topic |
Ecofisiología Fisiología Vegetal Ecophysiology Plant Physiology Data Set Live Fuel Moisture Conjunto de Datos Humedad del Combustible Vivo |
dc.description.none.fl_txt_mv |
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. 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. Instituto de Clima y Agua Fil: Yebra, Marta. Australian National University. Fenner School of Environment & Society; Australia Fil: Scortechini, Gianluca. Australian National University. Fenner School of Environment & Society; Australia Fil: Adeline, Karine. Université de Toulouse, OneRA / DOtA; Francia Fil: Beget, María Eugenia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina Fil: Boer, Matthias. Western Sydney University. Hawkesbury Institute for the Environment; Australia Fil: Brown, Tegan. US Forest Service. Rocky Mountain Research Station, Fire Sciences Laboratory; Estados Unidos Fil: Chuvieco, Emilio. University of Alcalá. Department of Geology, Geography and the Environment; España Fil: Di Bella, Carlos Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos; Argentina Fil: Forsyth, Greg. cSiR, nRe, Stellenbosch, Sudáfrica Fil: Granda, Elena. Universidad de Alcalá. Departamento de Ciencias de la Vida; España Fil: Aktepe, Nursema. Kastamonu Universit. Department of Biology; Turquía |
description |
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. 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. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-06-28T11:31:22Z 2024-06-28T11:31:22Z 2024-04 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.12123/18297 https://www.nature.com/articles/s41597-024-03159-6 2052-4463 https://doi.org/10.1038/s41597-024-03159-6 |
url |
http://hdl.handle.net/20.500.12123/18297 https://www.nature.com/articles/s41597-024-03159-6 https://doi.org/10.1038/s41597-024-03159-6 |
identifier_str_mv |
2052-4463 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Springer Nature |
publisher.none.fl_str_mv |
Springer Nature |
dc.source.none.fl_str_mv |
Scientific Data 11 : Article number: 332 (2024) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria |
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INTA Digital (INTA) |
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INTA Digital (INTA) |
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Instituto Nacional de Tecnología Agropecuaria |
repository.name.fl_str_mv |
INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria |
repository.mail.fl_str_mv |
tripaldi.nicolas@inta.gob.ar |
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