There are 1 repository under indoor-air-quality topic.
PyCHAM: CHemistry with Aerosol Microphysics in Python box model for Windows, Linux and Mac
A collection of CircuitPython helpers used for the calculation of PM2.5 and CO2 air quality levels.
HE1040 Electronics design, project course. KTH Royal Institute of Technology.
An EnergyPlus version 8 based Ventilation Controls Virtual Test Bed for accelerated modelling, testing and comparing of single and mixed-mode ventilation systems and their control strategies
R package to process and store data for the IEA EBC - Annex 86 - Energy Efficient Indoor Air Quality Management in Residential Buildings project. For details visit https://annex86.iea-ebc.org/. Documentation and examples available on https://iea-ebc-annex86.github.io/annex/
Repository for code related to the Total Reactive Nitrogen (tNr) Instrument built by the VandenBoer research group
CSUS Senior Design Project 2021 Team members: Gil Clements | Aaron Costello | Alex Garcia | Max Repko | Richard Torres
The following data and analysis was conducted at the Harvard T.H. Chan School of Public Health Environmental Health Department and Cyprus Research Program.
Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities
Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782
Parallax P8X32A/Propeller driver object for the Sensirion SGP30 Indoor Air Quality sensor
The application classifies the minutes in which the user has cooked. The dataset contains one record per minute for approximately one month.
Lo scopo dell'applicazione è quello di costruire un feature vector per la predizione dei pasti in base a valori registrati da sensori di qualità dell'aria. Le feature prodotte verranno automaticamente unite a feature statistiche già presenti in alcuni files. Per la classificazione utilizzare il Knowledge Flow Enviroment di Weka impostato nel file allegato.
Details on the whole-house air quality monitoring system used during the Indoor Air Quality & Climate Change study (2015-2018)
Low-cost wireless sensor node for environmental data (CO2, T, RH, P) used during the Indoor Air Quality & Climate Change study (2015-2018)