All-in-one, versatile and low-cost experimental setup to implement environmental stochasticity in mesocosms (PiStoch)

Datasets, Python and R source codes of the article: Souques C.*, Bacon J.*, Guillard L., Eymard-Dauphin P., Teulier T., Dechaume-Moncharmont F.-X. Bittebiere A.-K., Voituron Y (2025) All-in-one, versatile and low-cost experimental setup to implement environmental stochasticity in mesocosms (PiStoch). Methods in Ecology and Evolution, DOI:10.1111/2041-210x.70094 Project PiStoch ├── Tutorial | ├── PiStoch_Tutorial.pdf | └── PiStoch_Tutorial.Rmd ├── Python scripts for controller | ├── data | ├── python_temperature_01_simple.py | ├── python_temperature_02_database.py | └── README.md ├── Data analysis | ├── datasets | └── main_script.R └── R scripts for time series simulations ├── constrained_random_walk_temperature.R └── constrained_random_walk_oxygen.R └── sinusoid_method.R └── README.md Four main directories are associated with this project- Tutorial: this tutorial presents the steps used in the mesocosm experiments to regulate temperatureusing PiStoch- Python scripts for controller: this directory contains two examples of the Python script used to control the Raspberry Pi and the sensors.- R scripts for data analysis: this directory contains the scripts for analysing the two examples (fish and plant) presented in the article- R scripts for simulating time series