Review Reports

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

The AMD Unit of the IAEA has always been a beacon of free and reliable atomic and molecular data for fusion, in a dispersed international environment, with diverse actors and different degrees of access. Therefore, the development of a database such as the one described in this article is very promising and welcome. The presentation is complete and clear, and represents a very useful complement to the same database. I believe that the article should be published in its current state.

Author Response

The authors would like to thank this Reviewer 1 for their encouraging comments and hope that CollisionDB will indeed become a well-used resource for the community it serves.

Reviewer 2 Report

Comments and Suggestions for Authors

This paper introduces and describes, "a new database of atomic and molecular collisional processes with an interactive API", as stated in the title. A database of this kind is very welcome and it will be highly useful for researchers on plasma processes and related fields.

The database is very well presented, including all necessary steps to be accessed.

I congratulate the authors for their work, and I am sure it will be well-maintained for a long time.

Very fine work.

Author Response

The authors would like to thank Reviewer 2 for their welcome comments. Indeed, we hope that CollisionDB will indeed become a well-used and growing resource for the community it serves.

Reviewer 3 Report

Comments and Suggestions for Authors

Title: CollisionDB: A new database of atomic and molecular collisional processes with an interactive API

 

            The manuscript describe an efficient database schema for plasma collisional data, based on FAIR principles and a new browser-based online interface and API.  In particular, the data model and API described in the manuscript allow for automated querying and retrieval of data and metadata directly from code in a way that facilitates visualization, data exploration and machine learning.

Creating databases enabling scientists access to data resources will contribute to research and development in many fields of physics. Therefore, in my opinion the paper evidently contributes to the progress in the field.

 

In conclusion the investigated in the manuscript matter matches the issues presented in Atoms, therefore I recommend the paper for publication in Atoms journal.

Author Response

The authors would like to thank Reviewer 3 for their comments. Indeed, we hope that CollisionDB will become a well-maintained and increasingly complete resource for the community it serves.