Briand, DanickFumeaux, Nicolas FrancisMonroe, Morgan Mc Kay2024-07-262024-07-262024-07-252024-07-0110.5281/zenodo.12608072https://infoscience.epfl.ch/handle/20.500.14299/240457This data set contains the data collected during the FNS project Green Piezo (Green biodegradable piezoelectric electronic and microsystems, Grant no. 179064). With the continuous increase of electronic waste, the main research topic of this project is the development of green electronic and microsystems with a focus on piezoelectric transducers. The latter are currently made using materials can be harmful to the environment, even toxic such as lead zirconate titanate, and structured using mainly cleanroom processes. The realization of more sustainable piezoelectric microsystems is based here on an approach involving the use of degradable materials and their patterning using additive manufacturing, i.e. printing.  The objectives of the project were:•    The development of a piezoelectric ink processed by printing at temperatures compatible with sensitive biodegradable cellulosic and biopolymer substrates; •    Integration of the piezoelectric material with degradable electrodes fully by printing;•    Demonstration of the applicability and valorisation of the developed technologies through the realization of different types of ecoresorbable and bioresorbable microsystems, such as physical and chemical sensors, and actuators.  The data present in this data set contains the following elements: (i) electrical and piezoelectric properties and process optimization for conductive and piezoelectric eco-friendly and biodegradable inks, (ii) optical and topology images and data of the resulting printed layers, (iii) data pertaining to the behavior and functionality of sensors and actuators based on these inks and finally (iv) the design files used to print these devices. A more in-depth description is given in README.txt file attached to the data set.enBiodegradable electronicsGreen electronicsAdditive manufacturingPrintingPiezoelectricsEco-friendly processesdatasete63b0222-d39b-4f74-9184-bacbec6dbb64