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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Updated
Dec 14, 2024 - C++
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
A MySQL HTAP Database, Open Source version of MySQL Heatwave, Powered by AI&ML.
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)
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
Heatwaves and elderly population exposure in China: historical trends and future projections
Code and figures for an analysis of climate indexes and conditions relevant for tourism in Slovenia.
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
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