California Air Resources Board

This is a community monitoring data display website, allowing community members to report air quality events and correlate them geographically with community air monitoring data. 

This is a free, web based utility for exploring both mobile and stationary data on a map.

1. The data submitter crafts data files, using the specification provided on the website. 
2. The data submitter uploads the data file.

This is a commercial provider of community particulate air monitors, namely the PAII. The PAII was evaluated by the South Coast Air Quality Management District, Air Quality Sensor Performance Evaluation Center program.

Data aggregated by these air monitors will (by default) be mapped in real time here. 

Un-validated Data from over 8000 air monitoring organizations around the world are published in real time and mapped on this site.

At the time of writing, contributing data to this source is done by operating a GAIA Air Quality Monitoring Station which can be acquired from the same site. It is also available in the Chrome Web Store.

An R package for air quality data analysis. This package provides:

• Utility functions like select by date
• Wind and pollution rose functions
• Bivariate polar plots for source attribution
• Calendar plots allow calendar generation with color codes to indicate high/low days
• Back trajectory plotting and access to HYSPLIT  

More Information

Creates wind rose and pollution rose plots using pollutant, wind speed/direction data.

Kaggle is a leader in community based data analytics. Kaggle provides online python "workbooks" which are essentially web-based python installations that allow the user to analyze data using the NumPy libraries

This article is a nice primer on air quality data analysis using NumPy.

This is an overview of ambient air pollution from a global perspective, with references to health effects and historical averages for context. 

Hannah Ritchie and Max Roser (2018) - "Air Pollution".