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Jupyter Notebooks are increasingly being used for documenting data science workflows and replicating relevant analyses in research. The following recommendations are available to help guide authors through the process of sharing their Jupyter Notebooks when publishing in AGU journals. Please note that any data used by your notebook must be preserved and cited separately from the notebook to comply with AGU’s data and software guidance. This work is supported by Accelerating Open and FAIR Data Practices Across the Earth, Space, and Environmental Sciences: A Pilot with the NSF to Support Public Access to Research Data project funded by the National Science Foundation, Grant 2025364.
Jupyter Notebooks
Jupyter Notebooks
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 10 | |
| downloads | 6 |

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Downloads provided by UsageCounts