This distribution contains experimentally measured data for the extent of retained enzyme activity post thermal stressing for three distinct enzymes: glucose oxidase, lipase, and horseradish peroxidase. The data is used to form conclusions and develop machine learning models as reported in the publication "Machine Learning on a Robotic Platform for the Design of Polymer-Protein Hybrids" by Matthew Tamasi, Roshan Patel, Carlos Borca, Shashank Kosuri, Heloise Mugnier, Rahul Upadhya, N. Sanjeeva Murthy, Michael Webb*, and Adam Gormley. Details regarding the experimental protocols are reported in the aforementioned paper but are briefly discussed in the README. Additional information and code can be examined at https://github.com/webbtheosim/PPH_public A.J.G. acknowledges support from the National Institutes of Health (NIH) under NIGMS MIRA Award R35GM138296, and the National Science Foundation under DMREF Award NSF-DMR-2118860 and CBET Award Number NSF-ENG-2009942. R.A.P., C.H.B., and M.A.W. acknowledge support from the National Science Foundation under DMREF Award Number NSF-DMR-2118861 as well as start-up funds from Princeton University. M.J.T. acknowledges additional support from the National Institutes of Health (GM135141). The training of and optimization with machine learning models was performed with resources from Princeton Research Computing at Princeton University, which is a consortium led by the Princeton Institute for Computational Science and Engineering (PICSciE) and Office of Information Technology's Research Computing. A.J.G. and N.S.M. acknowledge James Byrnes, beamline scientist at NSLS-II beamline 16-ID for Life Science X-ray Scattering (LiX), for his assistance with conducting experiments at Brookhaven National Laboratory. The LiX beamline is part of the Center for BioMolecular Structure (CBMS), which is primarily supported by the National Institutes of Health, National Institute of General Medical Sciences (NIGMS) through a P30 Grant (P30GM133893), and by the DOE Office of Biological and Environmental Research (KP1605010). LiX also received additional support from NIH Grant S10 OD012331. As part of NSLS-II, a national user facility at Brookhaven National Laboratory, work performed at the CBMS is supported in part by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences Program under contract number DE-SC0012704.