iosacal

[steko]

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Submitting Author: Stefano Costa (@steko)
Package Name: iosacal
One-Line Description of Package: An open source radiocarbon (14C) calibration software.
Repository Link (if existing): https://codeberg.org/steko/iosacal
EiC: @coatless

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Code of Conduct & Commitment to Maintain Package

• I agree to abide by pyOpenSci's Code of Conduct during the review process and in maintaining my package after should it be accepted.
• I have read and will commit to package maintenance after the review as per the pyOpenSci Policies Guidelines.

Description

• Include a brief paragraph describing what your package does:

IOSACal takes a radiocarbon determination (e.g. 2430±170 years BP) and outputs a calibrated age as a set of probability intervals. The calibration process converts the laboratory determination into a set of calendar dates by means of a calibration curve. IOSACal reads calibration curves in the common .14c format used also by other programs. iosacal can output results as a publication-quality plot, a short textual summary or both.

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• Astropy: My package adheres to Astropy community standards
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Scope

• Please indicate which category or categories this package falls under:

  • Data retrieval
  • Data extraction
  • Data processing/munging
  • Data deposition
  • Data validation and testing
  • Data visualization
  • Workflow automation
  • Citation management and bibliometrics
  • Scientific software wrappers
  • Database interoperability

Domain Specific

• Geospatial
• Education

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• Explain how and why the package falls under these categories (briefly, 1-2 sentences). For community partnerships, check also their specific guidelines as documented in the links above. Please note any areas you are unsure of:

IOSACal works with raw data expressed as numeric values and can process it, even in batch, to obtain calibrated dates and plots that are Python objects and can be passed along to other packages.

IOSACal creates plots that follow current state of the art visualization standards.

• Who is the target audience and what are the scientific applications of this package?

IOSAcal is for archaeologists, geologists, climate scientists and any other research field where calibrating radiocarbon dates is a necessary task for building absolute chronologies.

• Are there other Python packages that accomplish similar things? If so, how does yours differ?

As far as I know there are no other Python packages that accomplish the same task.

• Any other questions or issues we should be aware of:

P.S. Have feedback/comments about our review process? Leave a comment here

[coatless]

Hi @steko , thank you for inquiring about having pyOpenSci perform a package peer review.

Given the current lack of radiocarbon (14C) calibration software and field focus, this would fall inline with our editorial standards for the highlighted categories (Data processing/munging and Data visualization)

With this being said, please open a new submission issue that references this pre-submission? We'll then begin the process of going through our review guide:

https://www.pyopensci.org/software-peer-review/how-to/author-guide.html#

To avoid delays, please double-check on the initial content screening we'll do before assigning an editor:

https://www.pyopensci.org/software-peer-review/how-to/editor-in-chief-guide.html#editor-checklist-template