Title of the dataset: Data underlying the publication: "Zwitterionic Dendrimer – Polymer Hybrid Copolymers for Self-Assembling Antifouling Coatings" Creators: Esther Roeven - ORCID 0000-0002-5635-2780 - Organic Chemistry, Wageningen University & Research, The Netherlands; Surfix BV, The Netherlands Luc Scheres - Surfix BV, The Netherlands Maarten M. J. Smulders - ORCID 0000-0002-6855-0426 - Organic Chemistry, Wageningen University & Research, The Netherlands Han Zuilhof - ORCID 0000-0001-5773-8506 - Organic Chemistry, Wageningen University & Research, The Netherlands - School of Pharmaceutical Sciences and Technology, Tianjin University - Department of Chemical and Materials Engineering, King Abdulaziz University, Jeddah, Saudi Arabia. Related publication: Zwitterionic Dendrimer – Polymer Hybrid Copolymers for Self-Assembling Antifouling Coatings doi: 10.1016/j.eurpolymj.2021.110578 Description: Two different routes to synthesize polymer-dendrimer hybrids by the coupling of poly(L-lysine) and zwitterionic dendrimers (ZIDs) for self-assembling antifouling coatings. Their potential use as antifouling coatings was tested by fluorescence microscopy and quartz crystal microbalance. Keywords: Dendrimer, antifouling coating, surface chemistry, macromolecule, zwitterionic, PLL This dataset contains the following files: Folder Fluorescence: 2 files "Antifouling BSA LYS FBG" - contains fluorescent intensity of all images, "fluorescence data" - contains the microscopy images Folder IR: 2 files named by "type of compound" - contain IR spectra of the synthesized molecules Folder NMR: 16 subfolders named by "type measurement and compound" - containing 1H, 13C, HSQC and DOSY NMR data of the synthesized molecules Folder QCM-D: 4 files names by "QCM + tested compound" - contain QCM traces of the performed antifouling experiments Folder XPS: 10 files named by "compound and type measurement" - contain all XPS widescan and N1s narrow scans Methods, materials and software: Are described in the Experimental Section of the publication This dataset is published under the CC BY (Attribution) license. This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator.