There are 0 repository under ozone topic.
Rat Collection
bluesky self-hosting tool for easy deploy in anywhere.
Arduino driver for gas sensor MQ131 (Ozone / O3)
Air-quality forecasting in Belgium using Deep Neural Networks, Neuroevolution and distributed Island T​ranspeciation
Code for the paper submitted to On the impact of Himalaya-induced gravity waves on the polar vortex, Rossby wave activity and ozone
🛰️ Cette application permet aux utilisateurs de filtrer les données du satellite SCISAT et de visualiser les données extraites | 🛰️ This application allows users to filter data from the SCISAT satellite and visualize the extracted features.
Php Modular Framework
Base image with tools for running and testing Apache Ozone
Service for WeeWX to retrieve air quality data from the airQ device of Corant GmbH
WOUDC Data Registry is a platform that manages Ozone and Ultraviolet Radiation data in support of the World Ozone and Ultraviolet Radiation Data Centre (WOUDC), one of six World Data Centres as part of the Global Atmosphere Watch programme of the WMO.
:earth_americas: An interactive web app providing on-campus sustainable information
Own webpage and blog: academic and personal
Excel VBA macro for visualization of radiosondy.info weather balloon flight data
Python package to download chemical (e.g. ozone, NO2) and environmental (e.g. temperature from ERA5) data from the TOAR dataset for all stations in a particular country.
Stratospheric water vapor and ozone analysis using Machine Learning models and Explainable AI
MIT Kerberos KDC for developing and testing Apache Ozone
This is a group project for MTH416A: Regression Analysis at IIT Kanpur
A Typescript web service that sends Ozone reports to a Discord webhook
Ozone profile clustering code for UKESM1
The codes for analyze the GEMS O3P algorithm results for the research.
Crypto-Labeler is an advanced, AI-powered labeling and moderation tool dedicated to protecting the BlueSky community. By identifying and addressing crypto spammers, scammers, phishing attempts, and other malicious activities, it fosters a safer, more trustworthy, and transparent online environment for all users.
Reads NOAA ESRL GMD ASCII data files as pandas.DataFrame objects.
Recent research outputs
A practical guide to using TROPESS data products. Delivered as Jupyter Notebooks in Python