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.

SQL scripts, instructions for MySQL HeatWave benchmarking

Track the spatiotemporal evolution of extreme climate events

Deadly Heatwave: Where and when they will occur!

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

This repository gives you access to the CLIMATEREADY survey dataset containing thermal comfort votes during the 2021 and 2022 heatwave periods in Pamplona, Spain, as well as other relevant parameters self-reported by surveyees (e.g. occupant characteristics and behaviour, key building/dwelling characteristics, sleep problems, heat-related symptoms)

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)

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 soil temperatures during heatwaves at a few weather stations in Slovenia.

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 climate indexes and conditions relevant for tourism in Slovenia.

Creando tu BD MySQL en OCI + HeatWave

Heatwaves and elderly population exposure in China: historical trends and future projections

Ice cream for lunch?

This repository is intended to provide a set of QGIS tools to facilitate land use/land cover construction.

Python scrip to extract weather data from a website