Fully processed and cleaned up netCDF files for Maison en Terre data.

They are fully organized by themes, for better replication and understanding of every community. You will find, in this ZIP file:

All files from 2018 to 2025, with each file for a year of data (Exception for 2018 that only has from 2018-11-16 to 2018-12-31 and 2025 that only has from 2025-01-01 to 2025-05-15).
Global netCDF file with all years, from 2018 to 2025.

All netCDF files are organized following this list: Air quality: Interior CO₂ (north and south), CO₂ (PPM) and micro-particles (µg/m³) Climatic parameters: Interior temperature (north and south), perceived 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) and rain. Energetic performance: Connectors, light, outlets and ventilation energy consumption. Connectors, light, outlets and ventilation power (W). Maison en terre structure: Roof, south walls and walls temperature (°C).

All these netCDF files can be used to compare with own data, and are targeted towards students, researchers, and environmental office workers. These netCDF files are also a good alternative if not wanting to replicate the whole workflow and stick to aleardy processed 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.