StoneDB is an Open-Source MySQL HTAP and MySQL-Native DataBase for OLTP, Real-Time Analytics, a counterpart of MySQLHeatWave. (https://stonedb.io)
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StoneDB is an Open-Source MySQL HTAP and MySQL-Native DataBase for OLTP, Real-Time Analytics, a counterpart of MySQLHeatWave. (https://stonedb.io)
How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
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.
Sub-seasonal temperature and heatwave prediction in Central Europe with AI (linear and random forest machine learning models)
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)
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.
Tool to protect coral reefs by forecasting heatwaves using AI analysis of ocean climate data.
Heatwaves and elderly population exposure in China: historical trends and future projections
Nudging and ensemble involution with NeuralGCM
Python scrip to extract weather data from a website
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