Processed netCDF files for the BBC room data, obtained after processing the workflow found in Data_Production. Contains all 39 distincts measurments, with outliers removed.

All 39 measurements include, in seperated files:

Ambiant values = Temperature (°C), humidity (%), CO₂ (PPM) Office values = Temperature (°C), humidity (%), CO₂ (PPM) Doors and windows opening/closing (Boolean) Presence, heating, ventilation, volatile organic compounds (PPM) indicators Thermocouple sensor readings (°C) Triosys sensor data (temperature °C, humidity %) Pyranometer measurements (W/m², kWh/m²) Solar shading percentage (%) Light intensity (lux) Electricity meter readings (general, main, power outlets, kitchen, heating)

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.