Hey Olboss, I don't know if you need it anymore, but I have done some testing and comparison against other sensor + linear regression to get the best values. The graphs look like the following, I have only been able to get 8 data points, with more, the error could be less. Use the function for correct temperature within 0.5Celsius error: correct_temp = 1.0095 * nicla_temp - 4.8051 Use the function for 1% error between 0-30% humidity range, and 2% error (approximated) with 30%> humidity: correct_hum = 1.4383 * nicla_hum -2.5628 Use the following formula for correct barometric readings: correct_pressure = 0.718/100 * nicla_pressure + nicla_pressure These are all perfomed by myself and will not offer 100% accuracy as specified, but the error should be less 0.5% for temp and pressure, with 1-2% for the humidity depending on the range. temperature regression humidity regression
... View more
