Python repository contains a regression-based model to predict the monthly average air quality in Madrid using historical data. The data includes daily air quality measurements and metadata related to the measurement stations.
This is the Tetrad API, which allows users to query sensor data from Tetrad sensors around the world!
PurpleAirSF: datasets for realistic air quality forecasting
A set of data analysis tools to support the air quality project of Civic Labs Belgium
Python library for accessing Utah's Air Quality metrics from the Department of Environmental Quality.
Get IRCEL - CELINE air quality data 🍃 🇧🇪
Import measurements from InfluxDB 2.x database and calibrate them with a variety of linear regression techniques (both univariate and multivariate). Then, graph the results and export to a pdf document.
Indoor air quality sensor box IoT project with 3D-printed housing!
While developing a user-friendly programme that can display pollution levels of various Asian countries, the user can create and work on new databases and tables for analysis of air pollution levels (AQI) of different places, as well as perform various types of statistical analysis of different places, such as sorting, grouping, systematic arran…
A Home Assistant custom component for reading air quality data from the EPA Victoria (Australia) Environment Monitoring API
A Python module to import data from the UK Automatic Urban Rural Network (air pollution monitoring network)
A python crawler to get aqi and air pollutants concentration data from http://zx.bjmemc.com.cn/
Benzene level prediction using Keras
AQuaMoHo is a ML-driven framework to annotate air quality at any location from a low-cost Thermo-Hygrometer
The sensors.AFRICA air quality API receiving, storing, and processing data received from sensors across the continentent. Accessible at https://api.aq.sensors.africa/
Acquire and process live and historical air quality data without efforts. Filter by station-id, sensor-id and sensor-type, apply reverse geocoding, store into time-series and RDBMS databases, publish to MQTT, output as JSON, or visualize in Grafana. Data sources: Sensor.Community (luftdaten.info), IRCELINE, and OpenAQ.
The sensors.AFRICA API receiving, storing, and processing data received from sensors across the continentent. Accessible at https://api.sensors.africa/
A set of analysis tools for air quality data from various sources
Python package to get and transform PurpleAir data
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