High Volume Real-World Weather Data

Published: 27 June 2024| Version 1 | DOI: 10.17632/tbrhznpwg9.1
Contributors:
Md Zubair,
,
, MD Shahidul Salim,

Description

This dataset contains daily weather data from all the 35 weather stations in Bangladesh including the features Rainfall (mm), Temperature (°C), Humidity (%), and Sunshine (hrs). The dataset has daily data from the establishment of each weather station to 2023, which have been collected from the Bangladesh Meteorological Department. The 'Weather Datasets' folder includes two subfolders: 'Combined Data' and 'Station Wise Data'. The 'Combined Data' subfolder has a CSV file that consolidates data from all the weather stations, while the 'Station Wise Data' subfolder contains 35 CSV files, each representing data from individual weather stations. In total, there are 543839 instances. The dataset can be used for numerous real-world applications such as : - Weather forecast modeling based on modern deep learning methods - Climate analysis - Weather forecast-based agricultural decision-making, etc. We believe this dataset will have a significant impact on the research fields of Data Science, Climatology, Agricultural crop science, and many more.

Files

Institutions

BRAC University, Chittagong University of Engineering and Technology, Khulna University of Engineering and Technology

Categories

Climatology, Data Science, Recommendation System, Weather

Licence