Carlo Maria Zwölf

TL;DR: This paper describes how the VAMDC Consortium is organised for the optimal distribution of atomic and molecular data for scientific research and urges authors of research papers using data cite the original experimental and theoretical papers as well as the relevant databases.

TL;DR: The current limitations that prevent VAMDC from becoming the main publishing platform and the main source of A&M data for user communities are discussed, and possible solutions under investigation by the consortium are presented.

TL;DR: A new paradigm for the identification of datasets extracted from the Virtual Atomic and Molecular Data Centre (VAMDC) e-science infrastructure is presented that should enforce traceability of datasets, favor reproducibility of datasets extraction, and facilitate the systematic citation of the authors having originally measured and/or calculated the extracted atomic and molecular data.

TL;DR: This paper highlights how the new paradigms for data citation produced by the Research Data Alliance in order to address the citation issues in the data-driven science landscape, have successfully been implemented on the VAMDC e-infrastructure.

TL;DR: In this paper, a web service based on the latest version of the OP opacities is proposed for the calculation of multi-element mixtures containing the 17 species (H, He, C, N, O, Ne, Na, Mg, Al, Si, S, Ar, Ca, Cr, Mn, Fe and Ni) considered by the OP.