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LION Data: A roaring transformation in data visualisation

Todd, Lucy; Fordham, Arthur; Deacon, Ben; Coppens, Marc-Olivier; (2025) LION Data: A roaring transformation in data visualisation. Computers & Chemical Engineering , 200 , Article 109153. 10.1016/j.compchemeng.2025.109153. Green open access

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Abstract

In a world filled with high-quality scientific data, how much of it is truly being understood and utilised? LION Data is a Local, Interactive, Online, Networking data visualisation software specifically designed to address the requirements for scientists publishing data and users accessing it. This software allows Excel and CSV data to be efficiently uploaded through a ‘file browsing’ feature and then builds 2D/3D graphs and networks applying user requirements within seconds. This software has been shown to significantly improve the efficiency and breadth of data analyses conducted in a variety of scientific fields. Illustrative examples include 3D scaffolds designed to model biological environments, battery ultrasound readings to improve battery safety, and permeability readings of various chemicals on the skin. LION Data is easy to access, utilise, share and publish, allowing scientific data to be made accessible, understandable and available for any audience.

Type: Article
Title: LION Data: A roaring transformation in data visualisation
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.compchemeng.2025.109153
Publisher version: https://doi.org/10.1016/j.compchemeng.2025.109153
Language: English
Additional information: Copyright © 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Data visualisation, Scientific communication, Accessible software
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10213996
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