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[REVIEW]: DRDMannTurb: A python package for scalable, data-driven synthetic turbulence #6838
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I've submitted three small issues about installation requirements, tests and missing community guidelines. |
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👋 @openjournals/dsais-eics, this paper is ready to be accepted and published. Check final proof 👉📄 Download article If the paper PDF and the deposit XML files look good in openjournals/joss-papers#6001, then you can now move forward with accepting the submission by compiling again with the command |
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👋 @alizma - I need you to address the following before I accept this submission for publication: In your archive:
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Once you adderss the above let me know and I'll accept this for publication. Thanks! |
👋 This is just a reminder of my last steps post above @alizma |
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Hi @crvernon I've addressed the issues with the draft that you pointed out. RE Line 70, I believe it is complete although somewhat unclearly written. |
Hi @crvernon please see the updated metadata on the Zenodo archive here. I updated the title, description and license. Please let us know if there is anything else. Thank you! |
@alizma one last thing in the Zenodo archive name: the "p" in "python" should be capitalized. |
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Submitting author: @alizma (Alexey Izmailov)
Repository: https://github.com/METHODS-Group/DRDMannTurb
Branch with paper.md (empty if default branch): main
Version: v1.0.3
Editor: @HaoZeke
Reviewers: @paroomk, @olivecha
Archive: https://dx.doi.org/10.5281/zenodo.13922330
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@paroomk & @olivecha, your review will be checklist based. Each of you will have a separate checklist that you should update when carrying out your review.
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