This Project Contains the data, matlab code and summary fit statistics for the manuscript "Lipids Cross Risk Categories on Short Timescales in Free-Living Humans: A Participant-Led Study" by Azure Grant and Gary Wolf, as Part of the Quantified Self Blood Testers Project. Project-Related Links: https://medium.com/quantified-self-public-health/azure-grant-lessons-from-blood-testers-a-participant-led-research-project-d7a4e9d04824 https://medium.com/quantified-self-blood-testers http://www.lailazemrani.com/blog-articles/2018/4/26/tracking-my-nyc-marathon-journey https://www.quantifiedbob.com/2018/05/tracking-personal-cholesterol-diet-foods/ https://medium.com/quantified-self-dublin/high-frequency-blood-testing-what-why-how-55bc6cf404ca This data set is for anyone to explore! It contains within a day and fasted morning total cholesterol, hdl-cholesterol and triglyceride data collected using the at-home lipid testing device CardioChek Plus. The data were collected in a participant-led project, so you may find more links to individuals and their experiments online.