READ ME File For 'Aqueous Polydimethlysiloxane (PDMS) Mixing Ratio Determination Tests for encapsulating circuits for E-Textile applications' Dataset DOI: 10.5258/SOTON/D0864 ReadMe Author: Olivia Olamide Ojuroye, University of Southampton This dataset supports the thesis entitled 'Tailored Polydimethylsiloxane Circuit Encapsulation for Washable and Mechanically-Deformable Proximity and Touch Sensing Electronic Textiles for Wearables and Beyond' AWARDED BY: Faculty of Engineering and Physical Sciences DATE OF AWARD: 23/07/2019 DESCRIPTION OF THE DATA This data is a compilation of numerous experiments that ultimately made a NXP Semiconductor PCF8883US bare die copper-polyimide circuit survive underwater and detergent/fabric conditioner washing in a commercial washing machine. The fundamental experiments in this dataset is determining the mixing ratio of polydimethylsiloxane (PDMS) for e-textile applications such that it has improved hydrophibicity to water, detergent, and fabric conditioner in concentrations used for washing textiles. Other experiments use the consequent mixing ratio determined in those experiments to encapsulate the PCF8883US bare die copper-polyimide circuit developed in this PhD to evaluate its aqueous and mechanical durability. This was evaluated by underwater tests whereby the PDMS-encapsulated circuits were submerged in water for several months and had their functionality tested periodically, and washing tests compliant with international standard ISO 6330:2012. The underwater experiments and washing experiments are datasets 'Aqueous Underwater Test on PDMS Conformally Encapsulated Capacitive Touch and Proximity Sensing Circuit E-Textiles https://doi.org/10.5258/SOTON/D0865' and 'Aqueous Washing Test on PDMS Conformally Encapsulated Capacitive Touch and Proximity Sensing Circuit E-Textiles https://doi.org/10.5258/SOTON/D0866' respectively. The data in this set were collected at the University of Southampton, Test Lab, Zepler Building, Level 4, and Centre of Hybrid Biodevices (CHB) in the Life Sciences Building. The data can be viewed using Microsoft Excel. This dataset contains: Experimental data that was published in conference paper titled 'Improving the integration of e-textile microsystems' encapsulation by modifying PDMS formulation' Date of data collection: August 2017 - January 2018 Information about geographic location of data collection: University of Southampton, U.K. Licence: Attribution-ShareAlike 4.0 International Related projects/Funders: This research was funded in the UK by the Engineering and Physical Sciences Research Council (EPSRC) via the project: Novel manufacturing methods for Functional Electronic TexTiles (FETT). Grant number: EP/M015149/1. Date that the file was created: April, 2019