Additional Materials accompanying: ‘Modelling arterial pulse waves in healthy ageing’ This webpage provides links to additional materials accompanying the following article: Charlton P.H., Mariscal Harana, J., Vennin, S., Li, Y., Chowienczyk, P. & Alastruey, J., “Modeling arterial pulse waves in healthy aging: a database for in silico evaluation of hemodynamics and pulse wave indexes,” AJP Hear. Circ. Physiol., 317(5), H1062-H1085, 2019. The Pulse Wave Database The database of arterial pulse waves is available in comma-separated value (CSV), WaveForm DataBase (WFDB) and Matlab ® formats at https://peterhcharlton.github.io/pwdb/ (DOI: 10.5281/zenodo.2633174). The Database Manual is available at: https://github.com/peterhcharlton/pwdb/wiki . Code for creating and analysing the Pulse Wave Database The Matlab ® code used to create input files for simulations, and to collate and analyse the pulse wave database, are available at https://peterhcharlton.github.io/pwdb/ (DOI: 10.5281/zenodo.3271512). These include: PulseAnalyse, a signal processing tool for cardiovascular pulse waves, as detailed at https://peterhcharlton.github.io/pulse-analyse/ (DOI: 10.5281/zenodo.3272122). AorticFlowWave, a script for creating aortic inflow waveforms. Details of the code used to run the pulse wave simulations are available at http://haemod.com/ , and access requests should be addressed to J. Alastruey. Instructions for replicating the study Details of how to replicate this study are provided at https://github.com/peterhcharlton/pwdb/wiki. The data collected during the literature review, and the Matlab ® code used to analyse these data, are available at https://peterhcharlton.github.io/pwdb/ (DOI: 10.5281/zenodo.3271512). Further Information Further information about the data and conditions of access can be found by emailing research.data@kcl.ac.uk. The authors can be contacted as detailed at https://peterhcharlton.github.io/pwdb/contributions.html . Submitted manuscript The submitted manuscript is available for download here.

This work was supported by the British Heart Foundation [PG/15/104/31913], the Wellcome EPSRC Centre for Medical Engineering at King's College London [WT 203148/Z/16/Z], and the King's College London & Imperial College London EPSRC Centre for Doctoral Training in Medical Imaging [EP/L015226/1] funding for JMH. The authors acknowledge financial support from the Department of Health through the National Institute for Health Research (NIHR) Cardiovascular MedTech Co-operative at Guy's and St Thomas' NHS Foundation Trust (GSTT). The views expressed are those of the authors and not necessarily those of the BHF, Wellcome Trust, EPSRC, NIHR or GSTT.