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 incorpor...
| Autores principales: | , , , , , , , , , , |
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| Formato: | info:ar-repo/semantics/artículo |
| Lenguaje: | Inglés |
| Publicado: |
Springer Nature
2024
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| Materias: | |
| Acceso en línea: | 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 |
| _version_ | 1855037830400573440 |
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| author | 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_browse | Adeline, Karine Aktepe, Nursema Beget, Maria Eugenia Boer, Matthias Brown, Tegan Chuvieco, Emilio De Bella, Carlos M. Forsyth, Greg Granda, Elena Scortechini, Gianluca 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_sort | Yebra, Marta |
| collection | INTA Digital |
| 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. |
| format | info:ar-repo/semantics/artículo |
| id | INTA18297 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | dspace |
| spelling | INTA182972024-06-28T11:42:50Z Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research 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 Ecofisiología Fisiología Vegetal Ecophysiology Plant Physiology Data Set Live Fuel Moisture Conjunto de Datos Humedad del Combustible Vivo 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 2024-06-28T11:31:22Z 2024-06-28T11:31:22Z 2024-04 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng 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) application/pdf Springer Nature Scientific Data 11 : Article number: 332 (2024) |
| spellingShingle | Ecofisiología Fisiología Vegetal Ecophysiology Plant Physiology Data Set Live Fuel Moisture Conjunto de Datos Humedad del Combustible Vivo 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 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 |
| 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_short | 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 |
| topic | Ecofisiología Fisiología Vegetal Ecophysiology Plant Physiology Data Set Live Fuel Moisture Conjunto de Datos Humedad del Combustible Vivo |
| 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 |
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