StoneDB is an Open-Source MySQL HTAP and MySQL-Native DataBase for OLTP, Real-Time Analytics, a counterpart of MySQLHeatWave. (https://stonedb.io)

SQL scripts for HeatWave benchmarking

How to predict extreme events in climate using rare event algorithms and modern tools of machine learning

A MySQL HTAP Database, Open Source version of MySQL Heatwave, Powered by AI&ML.

SQL scripts, instructions for MySQL HeatWave benchmarking

Deadly Heatwave: Where and when they will occur!

Track the spatiotemporal evolution of extreme climate events

We used the http://flughafendb.cc/ airport database (small) and converted most of the fields to English.

Heat wave duration index w.r.t mean of reference period

Sub-seasonal temperature and heatwave prediction in Central Europe with AI (linear and random forest machine learning models)

The aim of the Project CLIMAREADY is the assessment of the adaptability of residential dwellings in Spain to the global warming, promoting passive measures in the design and use of the buildings to get an adequate indoor environment in summer conditions, minimising and quantifying overheating risks and with the minimum cooling.

Heatwave-and-sentiment-study The goal is to build a delay model and explore the changing relationship between heatwave and emotions in various states across the United States. We believe that human emotions have a delay in response to heat. The heat here is 0 and 1, and the mood changes are not binary values. At the same time, the data set contain

Code and figures for an analysis of climate indexes and conditions relevant for tourism in Slovenia.

Ice cream for lunch?

Python scrip to extract weather data from a website

This repository shows two simple examples how to create Oracle MySQL HeatWave Service (MHS) resources "DbSystem" and "Backup" using SDK for Java

Code and figures for an analysis of soil temperatures during heatwaves at a few weather stations in Slovenia.

MySQL toolset, after installation