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 # Metaflux
+This repository contains the code that accompanies the paper `Nathaniel, J., Liu, J. & Gentine, P. MetaFlux: Meta-learning global carbon fluxes from sparse spatiotemporal observations. Sci Data 10, 440 (2023). https://doi.org/10.1038/s41597-023-02349-y`. 
+
+The resulting dataset of global, high-resolution (0.25-degree), long-term (daily/monthly 2001-2021) gross primary production and ecosystem respiration are available in Zenodo at https://doi.org/10.5281/zenodo.7761881.
+
 ## Introduction
 Meta-learning framework for climate sciences. Currently supports the following features:
 - Takes as input timeseries data (eg. FLUXNET eddy covariance stations)
@@ -28,4 +32,4 @@ by learning key features in data-abundant regions and adapt them to fluxes in da
 3. (experimental) `01c_with_encoder_pipeline`: adding context encoder to current classic metalearning model
 
 ![Encoder workflow](https://github.com/juannat7/metaflux/blob/main/docs/encoder_workflow.png)
-![Meta inference with context encoder](https://github.com/juannat7/metaflux/blob/main/docs/gpp_encoder_infer.jpeg)
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+![Meta inference with context encoder](https://github.com/juannat7/metaflux/blob/main/docs/gpp_encoder_infer.jpeg)