Skip to content
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

[PRE REVIEW]: SideScanSonarEditor: A Python package for annotation of side-scan sonar data #7864

Open
editorialbot opened this issue Mar 3, 2025 · 7 comments
Labels
pre-review Python TeX Track: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning

Comments

@editorialbot
Copy link
Collaborator

Submitting author: @michal Motylinski (Michal Motylinski)
Repository: https://github.com/MichalMotylinski/SideScanSonarEditor
Branch with paper.md (empty if default branch): master
Version: 0.1.0
Editor: Pending
Reviewers: Pending
Managing EiC: Chris Vernon

Status

status

Status badge code:

HTML: <a href="https://joss.theoj.org/papers/4268b4305ccecab71fb337f4231c097f"><img src="https://joss.theoj.org/papers/4268b4305ccecab71fb337f4231c097f/status.svg"></a>
Markdown: [![status](https://joss.theoj.org/papers/4268b4305ccecab71fb337f4231c097f/status.svg)](https://joss.theoj.org/papers/4268b4305ccecab71fb337f4231c097f)

Author instructions

Thanks for submitting your paper to JOSS @michal Motylinski. Currently, there isn't a JOSS editor assigned to your paper.

@michal Motylinski 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:

@editorialbot commands
@editorialbot editorialbot added pre-review Track: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning labels Mar 3, 2025
@editorialbot
Copy link
Collaborator Author

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:

@editorialbot commands

For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:

@editorialbot generate pdf

@editorialbot
Copy link
Collaborator Author

Software report:

github.com/AlDanial/cloc v 1.98  T=0.03 s (324.2 files/s, 120649.8 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                           4            625            550           2568
Markdown                         2             43              0            127
TeX                              1              7              0             62
YAML                             2              9              4             51
TOML                             1              4              0             34
Text                             1              0              0             10
-------------------------------------------------------------------------------
SUM:                            11            688            554           2852
-------------------------------------------------------------------------------

Commit count by author:

   113	MichalMotylinski
    23	Michal Motylinski

@editorialbot
Copy link
Collaborator Author

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- 10.51400/2709-6998.1935 is OK
- 10.5281/zenodo.5711226 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: oysstu/pyxtf
- No DOI given, and none found for title: XTF file format information
- No DOI given, and none found for title: Chesapeake Technology - Makers of SonarWiz
- No DOI given, and none found for title: Microsoft COCO: Common Objects in Context
- No DOI given, and none found for title: EdgeTech

❌ MISSING DOIs

- None

❌ INVALID DOIs

- None

@editorialbot
Copy link
Collaborator Author

Paper file info:

⚠️ Wordcount for paper.md is 1241

✅ The paper includes a Statement of need section

@editorialbot
Copy link
Collaborator Author

License info:

🟡 License found: GNU General Public License v3.0 (Check here for OSI approval)

@editorialbot
Copy link
Collaborator Author

👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

@editorialbot
Copy link
Collaborator Author

Five most similar historical JOSS papers:

ocean_data_tools: A MATLAB toolbox for interacting with bulk freely-available oceanographic data
Submitting author: @lnferris
Handling editor: @kthyng (Active)
Reviewers: @kakearney, @castelao
Similarity score: 0.7008

sandpyper: A Python package for UAV-SfM beach volumetric and behavioural analysis
Submitting author: @npucino
Handling editor: @crvernon (Active)
Reviewers: @dbuscombe-usgs, @chrisleaman
Similarity score: 0.6809

RESOURCECODE: A Python package for statistical analysis of sea-state hindcast data
Submitting author: @NRaillard
Handling editor: @marcosvital (Active)
Reviewers: @krober10nd, @platipodium, @malmans2
Similarity score: 0.6787

OceanSpy: A Python package to facilitate ocean model data analysis and visualization
Submitting author: @malmans2
Handling editor: @kthyng (Active)
Reviewers: @tomchor, @platipodium
Similarity score: 0.6761

psi-collect: A Python module for post-storm image collection and cataloging
Submitting author: @ebgoldstein
Handling editor: @kbarnhart (Retired)
Reviewers: @katmratliff, @conlin-matt, @chrisleaman
Similarity score: 0.6733

⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
pre-review Python TeX Track: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning
Projects
None yet
Development

No branches or pull requests

1 participant