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ZENODO
Dataset . 2023
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Datasets, scripts and Jupyter Notebook for "Two distinct magma storage regions at Ambrym volcano detected by satellite geodesy", Geophysical Research Letters

Authors: Shreve, Tara; Zhan, Yan; Le Mével, Hélène; Roman, Diana; Moussallam, Yves;

Datasets, scripts and Jupyter Notebook for "Two distinct magma storage regions at Ambrym volcano detected by satellite geodesy", Geophysical Research Letters

Abstract

This repository includes scripts and files necessary to create Figure 1 (S1.zip and plot_TS_Ambrym_2019_2022.py) in "Two distinct magma storage regions at Ambrym volcano detected by satellite geodesy", Geophysical Research Letters. We also include the Jupyter Notebook used to run the EnKF data assimilation (enkf_notebook.zip) and produce Figures 2 and 3. The Jupyter Notebook and files used to produce Figure 4b,c can be found on GitHub. This version corrects a bug in the code used to plot the cross-sections in Figure 3 with enkf_notebook.zip.

The script plot_TS_Ambrym_2019_2022.py requires the installation of Python libraries numpy, matplotlib, datetime, derivative, and pandas.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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