-
-
Notifications
You must be signed in to change notification settings - Fork 41
[PRE REVIEW]: OceanLight.jl: A Julia package for calculating irradiance in the upper ocean using Monte Carlo simulations #8186
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Comments
Hello human, I'm @editorialbot, a robot that can help you with some common editorial tasks. For a list of things I can do to help you, just type:
For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:
|
Software report:
Commit count by author:
|
Paper file info:
✅ The paper includes a |
License info: ✅ License found: |
|
Five most similar historical JOSS papers: PlanktonIndividuals.jl: A GPU supported individual-based phytoplankton life cycle model Optimising Light Source Positioning for Even and Flux-Efficient Illumination OceanBioME.jl: A flexible environment for modelling the coupled interactions between ocean biogeochemistry and physics Oceananigans.jl: Fast and friendly geophysical fluid dynamics on GPUs pycoxmunk: A python package for computing sea surface reflectance |
Hi @haoboatlab and thanks for your submission! I am looking for some specific items to make sure your submission fits our requirements at a high level (not at the more detailed review level) before moving on to finding an editor or putting this on our waitlist if no relevant editors are available. I'll comment over time as I have a chance to go through them:
In the meantime, please take a look at the comments above ⬆️ from the editorialbot to address any DOI, license, or paper issues if you're able (there may not be any), or suggest reviewers. For reviewers, please suggest 5 reviewers from the database listed above or your own (non-conflicted) extended network. Their github handles are most useful to receive but please don't use "@" to reference them since it will prematurely ping them. |
Hi @kthyng , thanks for handling the preview of our paper. We are fixing the missing DOI issue. Below is a list of reviewers that I suggest:
|
@editorialbot commands |
Hello @haoboatlab, here are the things you can ask me to do:
|
@editorialbot check references |
|
@editorialbot generate pdf |
Five most similar historical JOSS papers: PlanktonIndividuals.jl: A GPU supported individual-based phytoplankton life cycle model Optimising Light Source Positioning for Even and Flux-Efficient Illumination OceanBioME.jl: A flexible environment for modelling the coupled interactions between ocean biogeochemistry and physics Oceananigans.jl: Fast and friendly geophysical fluid dynamics on GPUs pycoxmunk: A python package for computing sea surface reflectance |
Submitting author: @haoboatlab (郝轩亭 (Hao, Xuanting))
Repository: https://github.com/haoboatlab/OceanLight.jl
Branch with paper.md (empty if default branch):
Version: v.1.0.0
Editor: Pending
Reviewers: Pending
Managing EiC: Kristen Thyng
Status
Status badge code:
Author instructions
Thanks for submitting your paper to JOSS @haoboatlab. Currently, there isn't a JOSS editor assigned to your paper.
@haoboatlab if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). You can search the list of people that have already agreed to review and may be suitable for this submission.
Editor instructions
The JOSS submission bot @editorialbot is here to help you find and assign reviewers and start the main review. To find out what @editorialbot can do for you type:
The text was updated successfully, but these errors were encountered: