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About the Website
PolarBytes is an modern data platform dedicated to providing comprehensive information about the Polar Regions. We offer a collection of data sourced from reputable online repositories, along with data visualizations that make the information easily accessible.
Our goal is to provide reliable data from scientific studies and observations, ensuring that users have access to accurate information about the polar regions. Collaborating with Yayasan Penyelidikan Antartika Sultan Mizan, our team is committed to compiling a comprehensive database that serves as a valuable resource for researchers, educators, and anyone interested in the Polar Regions.
News & Updates
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August 2023
- Yayasan Penyelidikan Antartika Sultan Mizan (YPASM) approved the proposal and provided funding to initiate the PolarBytes repository.
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September 2023
- Development of the PolarBytes repository began.
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February 2024
- Update: Finished the PolarBytes research paper (First draft).
- Update: Released the final version of PolarBytes.
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April 2024
- PolarBytes was officially released on Google.
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May 2024
- Update: Updated the PolarBytes research paper (Second draft).
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July 2024
- Update: Updated the PolarBytes research paper (Third draft).
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August 2024
- Finalized the PolarBytes research paper (Final draft).
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September 2024
- The PolarBytes research paper titled "PolarBytes: Advancing Polar Research with a Centralized Open-Source Data Sharing Platform" was submitted to Elsevier – Environmental Modelling and Software Journal.
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November 2024
- The manuscript was revised based on feedback received.
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December 2024
- PolarBytes was updated with new features, including an API, data visualization tools, machine learning integration, and a feedback form.
- The revised research paper was submitted to the journal.
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January 2025
- PolarBytes made headlines on BERNAMA News and KelantanFM (Instagram, Facebook).
- The research paper titled "PolarBytes: Advancing Polar Research with a Centralized Open-Source Data Sharing Platform" was accepted by Environmental Modelling and Software Journal (Reference: ENSO_106325) and is now available online here.
Dataset
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- Climatology
- Molecular Biology
- Biodiversity
- Disease

Sulphur Detection From Melting Ice Cores

Cryptosporidium Oocyst and Giardia Cysts
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