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Sciunit package to containerize the collaborative hydrologic modeling from three Jupyter Notebook(getdata, analysis, and outputviz) as an example of SUMMA
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Storage: | The size of this resource is 1.1 MB | |
Created: | May 24, 2019 at 4:04 p.m. | |
Last updated: | Dec 27, 2019 at 5:40 p.m.
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Citation: | See how to cite this resource |
Sharing Status: | Public |
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Views: | 1551 |
Downloads: | 56 |
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Abstract
This is an example of how to create sciunit package from Jupyter Notebooks. For this example, I divided a well organized Jupyer Notebook to general three steps such as 1) get data, 2) analysis, 3) output visualization. So I recreated (1) getdata.ipynb, (2) analysis.ipynb, (3) output_viz.ipynb from a well organized Jupyter Notebook.
Then, we can create a sciunit package using "1_creating_sciunit_package_using_three_step_getdata_analysis_outputviz_jupyter_notebook.ipynb".
From the previous step, we can create a sciunit package and upload it on HydroShare as a new resource. In addition, we will add "2_testing_sciunit_repeat_and_visualization.ipynb" into new HydroShare resource. After that, we open new HydroShare resource, and use "2_testing_sciunit_repeat_and_visualization.ipynb" to repeat sciunit package to test reproducibility.
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The content of this resource is derived from | https://www.hydroshare.org/resource/c1bb4a12bff44bf08c5958cba7947348/ |
Title | Owners | Sharing Status | My Permission |
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2019 EarthCube Conference Demo presentation material for advanced collaborative modeling framework | Young-Don Choi | Public & Shareable | Open Access |
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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National Science Foundation | EarthCube Building Blocks: Collaborative Proposal: GeoTrust: Improving Sharing and Reproducibility of Geoscience Applications | ICER-1639655, ICER-1639759, ICER-1639696 |
National Science Foundation | Collaborative Research: SI2-SSI: Cyberinfrastructure for Advancing Hydrologic Knowledge through Collaborative Integration of Data Science, Modeling and Analysis | OAC-1664061, OAC-1664018, OAC-1664119 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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