Climate data dynamics: A high-volume real world structured weather dataset

dc.contributor.authorZubair, M.,
dc.contributor.authorMahee, M.N.I
dc.contributor.authorReza, K.M.
dc.contributor.authorSalim, M.S.
dc.contributor.authorAhmed, N.
dc.date.accessioned2025-04-28T09:25:01Z
dc.date.issued2024-11-20
dc.description.abstractThe dataset at hand is a unique resource, officially procured from the Bangladesh Meteorological Department, the sole government institution that diligently monitors weather through 35 strategically placed weather stations across the nation. This dataset is a treasure trove of actual data spanning several decades, from the inception of each weather station to the present. It has been meticulously restructured and processed into four (Rainfall, Temperature, Humidity, and Sunshine) key weather parameters, presented in a highly organized and accessible format. This format not only facilitates its use in the machine-learning training process but also opens up avenues for its application in climate research, weather forecasting, and a myriad of other statistical and machine-learning applications.
dc.identifier.citationZubair, M., Mahee, M. N. I., Reza, K. M., Salim, M. S., & Ahmed, N. (2024). Climate data dynamics: A high-volume real world structured weather dataset. Data in Brief, 57, 111156.
dc.identifier.issn23523409
dc.identifier.urihttp://dspace.uttarauniversity.edu.bd:4000/handle/123456789/470
dc.language.isoen
dc.publisherElsevier Inc.
dc.subjectMeteorology Time-series Rainfall Temperature Humidity Sunshine Wet-bulb globe temperature Climate Chang
dc.titleClimate data dynamics: A high-volume real world structured weather dataset
dc.typeArticle

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