Circadian period Q₁₀ calculator

This is a simple code to calculate Q₁₀ values for circadian period length by using SciPy optimize non-linear least squares fit. It fits an exponential equation:

to a set of data points, and estimates a period length at base temperature bt ˚C (τ_bt) and temperature coefficient (Q₁₀).

---

To calculate Q₁₀ on your local system (Windows, macOS, Linux)

Please download q10_calculator.py into your computer and execute it from the command line.

Run:           python q10_calculator.py
Requirements:  Python 3.9+, numpy, scipy, matplotlib (tkinter ships with Python)

---

To calculate Q₁₀ on Google Colab

https://colab.research.google.com/github/dxda6216/q10/blob/main/circadian_period_q10.ipynb

Usage

Open the calculator (Google Colab notebook)

To use the Colab, you will need to login to your Google account. This program is intended solely for calculating Q₁₀ values and plotting data. Data entered into this calculator is neither recorded nor stored anywhere other than your Google account (please see the code).

Click on the link below:
https://colab.research.google.com/github/dxda6216/q10/blob/main/circadian_period_q10.ipynb

Sample Description

To the "Data_description" input form, enter a description of your sample. This field can be blank.

Temperature and Period Data

Enter your data into the "Temperatures" and "Periods" input forms. For example, if you have the following dataset

Temp (˚C)   Period (hr)
  32.2        28.5
  35.3        27.1
  37.0        24.2
  39.6        22.6
  41.8        20.7

enter your data as follows:

The values should be delimited by a single comma. Leading and trailing spaces will be ignored.

Setting Base Temperature

The base temperature bt can be set to any value. It doesn’t affect the approximate solution for Q₁₀.

Data Plotting

Scales of X-axis and Y-axis, ticks, etc will automatically be adjusted.

Exporting Dataset and Fitted Curve

To output the dataset and fitted curve in tab-delimited format, select "Yes" in the "Display_tab_delimited_data" dropdown, and 2-column datasets will be displayed. To export the data to Excel, copy the 2-column dataset and paste it onto an Excel worksheet (right click -> Paste Options: Paste Special... -> Paste as Unicode Text -> click "OK").