MetaFlux: Meta-learning global carbon fluxes from sparse spatiotemporal observations

We provide a global, long-term carbon flux dataset of gross primary production and ecosystem respiration generated using meta-learning, called MetaFlux. The idea behind meta-learning stems from the need to learn efficiently given sparse data by learning how to learn broad features across tasks to be...

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Detalles Bibliográficos
Autores principales: Nathaniel, Juan, Liu, Jiangong, Gentine, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336080/
https://www.ncbi.nlm.nih.gov/pubmed/37433802
http://dx.doi.org/10.1038/s41597-023-02349-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336080/
https://www.ncbi.nlm.nih.gov/pubmed/37433802
http://dx.doi.org/10.1038/s41597-023-02349-y

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