RESONANCETABLES-2.2 - Database for thermal cross sections, MACS and (average) resonance parameters

a PhD in the Natural Sciences on Multi-step direct reactions at the Univ. of Groningen, and a Professorship at the Univ. of Uppsala on theoretical nuclear reactions.Arjan is currently Head of the Nuclear Data Section at the IAEA in Vienna.Before that, he has worked at ECN/NRG Petten, the Netherlands, on nuclear reaction data for science and technology, and as guest scientist at CEA/Bruyères-le-Châtel and Los Alamos National Laboratory on the development and computational implementation of nuclear reaction models.He has led several students to PhD degrees, has coordinated and chaired various international nuclear data projects such as the OECD/NEA JEFF and WPEC projects, and has advised governments and international organisations on nuclear research and development.Among his scientific accomplishments are innovations in nuclear reaction physics, especially for the optical model and pre-equilibrium reactions, and initiating the '3 T's': the TALYS nuclear model code, Total Monte Carlo uncertainty propagation and the TENDL nuclear data library.He has been awarded the Oppenheimer Coin from Los Alamos National Laboratory, and the title of Doctor Honoris Causa by Uppsala University.As of 2025, his h-index is 62 with more than 26 000 citations.Although Arjan is currently in a managerial role, he aims to keep his scientific creativity alive by maintaining and extending TALYS plus all software that emerges from that.Pleas from his friends to also spend time on other things are sometimes honoured. PrefaceRESONANCETABLES is a directory-structured database with compiled and evaluated data for experimental thermal cross sections, resonance integrals, Maxwellian-averaged cross sections (MACS), resonance parameters and average quantities in the resonance range.RESONANCETABLES is, along with its counterparts ENDFTABLES and EXFORTABLES, another initiative which is deemed necessary for a future with efficient nuclear data evaluation, in which machine learning and automation will play a large role.The objective is to have all important fundamental nuclear data readily available for direct inclusion in software.This is rather normal for codes like e.g.MCNP, which requires a complete processed nuclear data library such as ENDF/B or JEFF for all nuclides, ready to use.For some reason, for software and data that produce evaluated nuclear data libraries this is generally not seen as necessary.Here nuclides are evaluated and formatted one by one, and retrieval of experimental data by e.g. a graphical web interface is seen as sufficient for evaluation purposes.Manual insertion of values in an evaluated data file is still being done.It is probably not surprising that the production of the TENDL library relies strongly on the availability of 'fundamental' databases as the ones presented here, but we think they can also be helpful for the other libraries, which are still produced by manual evaluation.Also, these databases can help assessing the overall quality of a nuclear data library, not only TENDL, and be used to validate nuclear model codes, or fine-tune the parameters of nuclear models.In that sense, this initiative can be seen as a modest extension of IAEA's RIPL project, which was a major step forward in efficient nuclear data evaluation.Ideally, RESONANCETABLES could be replaced by a versatile API in the future. License, contact and referenceAs mentioned on the first page and in the source code, RESONANCETABLES falls in the category of MIT License software.In addition to the MIT terms I have a request:• When RESONANCETABLES is used for your reports, publications, etc., please make a proper reference to the code.At the moment this is: When you refer to the application of this software: D. Rochman, A.J. Koning, J.-Ch.Sublet, A statistical analysis of evaluated neutron resonances with TARES for JEFF-3.3,JENDL-4.0,ENDF/B-VIII.0 and TENDL-2019, Nuclear Data Sheets 163, 163 (2020).When you refer to something particular of this tutorial: A.J.