Processed netCDF files for Maison en Terre data, obtained after processing the workflow found in Data_Production. Contains all 52 distincts measurments, with outliers removed.

All 52 measurements include, in seperated files:

Interior CO₂ (north and south), CO₂ (PPM) Micro-particles (µg/m3) Interior temperature (north and south), percieved temperature and temperature (°C) Interior humidity (north and south), absolute and relative humidity (%) Pyranometer measurements (W/m², kWh/m²) Azimuth and solar elevation Weather station temperature and sensor state (°C, boolean) Front, left, right and maximum light intensity (lux) Wind speed (m/s) Rain Convectors, light, outlets and ventilation energy consumption Convectors, light, outlets and ventilation power Volatile Organic Compounds (PPM) Roof, south walls and walls temperature (°C)

Can be used to continue the workflow with the 5min transformation file. (Workflow for transforming frequency to 5min per 5min) Can also be used to compare whole datasets to own data or collected data.

Visual studio code, 1.99.1

Python, 3.10.12

Jupyter notebook, 6.4.8

This research project explores how sustainable buildings, such as Maison en Terre and the BBC Room (a low-consumption building), can contribute to thermal comfort and energy efficiency, both located in Saint-Martin d'Hères, Grenoble, France. It also has another aspect of sustainability by installing sensors around small buildings, therefore proposing concrete and exploitable data to students and projects. All datasets can be used by researchers, students, and ecological innovation projects.