Python scripts to download and preprocess air pollution concentration level data aquired from the Sentinel-5P mission

A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.

Python package to get and transform PurpleAir data

A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.

A minimal python interface for PMS7003 PM sensor

Emissions Spatial and Temporal Allocator model

Exploring the effect of COVID-19 in air pollution by using satellite data, with the sentinelsat and cartopy libraries.

☁Air pollution visualization and forecasting platform based on Flask and TensorFlow

A Python module to import data from the UK Automatic Urban Rural Network (air pollution monitoring network)

Low cost air quality monitoring

Detects PM2.5 levels based on daily atmospheric conditions

Using NYC Taxi Data as a Predictor of Urban Air Quality

Python wrapper for the honeywell-hpma115s0 particulate matter sensor

Gridded Aircraft Trajectory Emissions model

Framework to collect, aggregate and process air pollution data from different sources (Italy regions)

Python Wrapper for the sensirion SPS030 Particulate Matter (PM) sensor

Historical data of the Air Pollution Index in Malaysia from 2005. (With script)

A client to access Wiseair Air Quality API

This repository inclludes a deep learning model for predicting the air pollution value for the next hour based on the pollution data of past 1 year hour by hour. The dataset contains reports on the weather and the level of pollution each hour for five years at the US embassy in Beijing, China.

Python wrapper for the Novafitness SDS018 particulate matter sensor