PyCHAM: CHemistry with Aerosol Microphysics in Python box model for Windows, Linux and Mac
Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities
A collection of CircuitPython helpers used for the calculation of PM2.5 and CO2 air quality levels.
Indoor air quality data acquisition node using ESPHome
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
HE1040 Electronics design, project course. KTH Royal Institute of Technology.
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
An app to show indoor co2 levels and air quality
Details on the whole-house air quality monitoring system used during the Indoor Air Quality & Climate Change study (2015-2018)
The application classifies the minutes in which the user has cooked. The dataset contains one record per minute for approximately one month.
ML prediction of HVAC runtime status using a set of features including temperature, relative humidity, and their first and second derivatives
Low-cost wireless sensor node for environmental data (CO2, T, RH, P) used during the Indoor Air Quality & Climate Change study (2015-2018)
Collection of scripts to analyze the Indoor Air Quality (IAQ) dataset produced in project IEA EBC Annex 86 (ST2)
Building a classification to assess neighbourhood indoor air quality vulnerabilities
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
Functions to help with indoor air analysis in R
Official documentation and code examples for integrating with the LSI Lastem CUBE cloud platform via REST APIs. Access environmental monitoring data from ENVIRO-CUBE and INDOOR-CUBE applications using secure, header-based authentication. Ideal for developers building custom data pipelines or dashboards.
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