2021-paper-jupyter-reproducible-workflows
Using Jupyter for reproducible scientific workflows
https://github.com/marijanbeg/2021-paper-jupyter-reproducible-workflows
Science Score: 77.0%
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Found 4 DOI reference(s) in README -
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Low similarity (9.7%) to scientific vocabulary
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Using Jupyter for reproducible scientific workflows
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README.md
Using Jupyter for reproducible scientific workflows
Marijan Beg1, Juliette Taka2, Thomas Kluyver3, Alexander Konovalov4, Min Ragan-Kelley5, Nicolas Thiéry6, and Hans Fangohr7
1 Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, United Kingdom
2 Logilab, 75013 Paris, France
3 European XFEL GmbH, 22869 Schenefeld, Germany
4 School of Computer Science, University of St Andrews, St Andrews KY16 9AJ, United Kingdom
5 Simula Research Laboratory, 1364 Fornebu, Norway
6 Laboratoire de Recherche en Informatique, Université Paris-Saclay, CNRS, 91405 Orsay, France
7 Max Planck Institute for the Structure and Dynamics of Matter, 22761 Hamburg, Germany
| Description | Badge |
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About
This repository contains all the necessary data and information required to reproduce Figure 3 in:
- M. Beg, J. Taka, T. Kluyver, A. Konovalov, M. Ragan-Kelley, N. Thiéry, and H. Fangohr. Using Jupyter for reproducible scientific workflows. Computing in Science & Engineering 23, 36 (2021).
Binder
You can run the Jupyter notebook in the cloud via Binder. To access Binder, use the badge in the table above.
License
Licensed under the BSD 3-Clause "New" or "Revised" License. For details, please refer to the LICENSE file.
How to cite
M. Beg, J. Taka, T. Kluyver, A. Konovalov, M. Ragan-Kelley, N. Thiéry, and H. Fangohr. Using Jupyter for reproducible scientific workflows. Computing in Science & Engineering 23, 36 (2021).
M. Beg, J. Taka, T. Kluyver, A. Konovalov, M. Ragan-Kelley, N. Thiéry, and H. Fangohr. Accompanying repository for "Using Jupyter for reproducible scientific workflows". GitHub: https://github.com/marijanbeg/2021-paper-jupyter-reproducible-workflows, DOI: 10.5281/zenodo.4382224 (2021).
Acknowledgments
OpenDreamKit – Horizon 2020 European Research Infrastructure project (676541)
EPSRC Programme Grant on Skyrmionics (EP/N032128/1)
Owner
- Name: Marijan Beg
- Login: marijanbeg
- Kind: user
- Location: London, United Kingdom
- Company: Imperial College London
- Website: https://www.imperial.ac.uk/people/m.beg
- Repositories: 6
- Profile: https://github.com/marijanbeg
Computational Scientist
Citation (CITATION.cff)
cff-version: 1.2.0
message: "Please cite using the metadata from 'preferred-citation'."
type: software
authors:
- given-names: Marijan
family-names: Beg
orcid: 'https://orcid.org/0000-0002-6670-3994'
- given-names: Juliette
family-names: Taka
- given-names: Thomas
family-names: Kluyver
orcid: 'https://orcid.org/0000-0003-4020-6364'
- given-names: Alexander
family-names: Konovalov
orcid: 'https://orcid.org/0000-0001-5299-3292'
- given-names: Min
family-names: Ragan-Kelley
- given-names: Nicolas M.
family-names: Thiéry
orcid: 'https://orcid.org/0000-0002-2735-8921'
- given-names: Hans
family-names: Fangohr
orcid: 'https://orcid.org/0000-0001-5494-7193'
title: Using Jupyter for Reproducible Scientific Workflows
repository-code: https://github.com/marijanbeg/2021-paper-jupyter-reproducible-workflows
identifiers:
- type: doi
value: 10.5281/zenodo.4382224
license: BSD-3-Clause
preferred-citation:
type: article
authors:
- given-names: Marijan
family-names: Beg
orcid: 'https://orcid.org/0000-0002-6670-3994'
- given-names: Juliette
family-names: Taka
- given-names: Thomas
family-names: Kluyver
orcid: 'https://orcid.org/0000-0003-4020-6364'
- given-names: Alexander
family-names: Konovalov
orcid: 'https://orcid.org/0000-0001-5299-3292'
- given-names: Min
family-names: Ragan-Kelley
- given-names: Nicolas M.
family-names: Thiéry
orcid: 'https://orcid.org/0000-0002-2735-8921'
- given-names: Hans
family-names: Fangohr
orcid: 'https://orcid.org/0000-0001-5494-7193'
title: Using Jupyter for Reproducible Scientific Workflows
journal: "Computing in Science & Engineering"
volume: 23
issue: 36
year: 2021
identifiers:
- type: doi
value: 10.1109/MCSE.2021.3052101
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