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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| 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 |