Table of Contents
Dataset Papers in Science
Volume 2014, Article ID 753131, 7 pages
Dataset Paper

Dataset for Modelling Reaction Mechanisms Using Density Functional Theory: Mechanism of ortho-Hydroxylation by High-Valent Iron-Oxo Species

Department of Chemistry, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India

Received 3 September 2013; Accepted 28 November 2013; Published 8 June 2014

Academic Editors: L. Bernasconi, H. Hirao, and J. Pons

Copyright © 2014 Azaj Ansari and Gopalan Rajaraman. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Modelling reaction mechanisms using density functional theory is one of the popular routes to underpin the course of a chemical reaction. Although numerous publications have come out in this area, the pitfall of modelling such reactions and explicitly publishing the entire data set (structures, energies, coordinates, spin densities, etc.) which lead to the conclusions are scarce. Here we have attempted to set a trend wherein all the computed data to underpin the reaction mechanism of ortho-hydroxylation of aromatic compounds by high-valent iron-oxo complexes ( –OOH, =O, and =O) are collected. Since the structure, energetics and other details of the calculations can be employed in future to probe/understand the reactivity pattern of such species, establishing the data set is justified. Here by analysing the presented results we also discuss in brief the presented results.