PolarBytes：通过集中的开源数据共享平台推进极地研究

IF 4.8 2区环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Environmental Modelling & Software Pub Date : 2025-02-01 DOI:10.1016/j.envsoft.2025.106325

Nur Haznirah Hazman , Rohaizaazira Mohd Zawawi , Ainin Sofia Jusoh , Muhammad Akmal Remli , Marieanne Christie Leong , Mohd Saberi Mohamad , Sarahani Harun

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引用次数: 0

摘要

极地地区具有巨大的生态和历史意义，为生物标志物鉴定、气候历史和天然抗冻蛋白提供了见解。然而，全球气候变化和分散的数据集威胁着这些领域的有效研究。为了应对这些挑战，我们开发了PolarBytes，这是一个极地研究的集中平台，专注于生物多样性、气候学、疾病和分子生物学。PolarBytes通过直观的界面和先进的机器学习工具简化了数据访问、分析和可视化。其强大的API系统，包括RESTful和Swagger接口，消除了手动下载，支持自动化，提高了研究效率。通过将来自孤立存储库的数据集中，PolarBytes简化了数据检索并促进了协作，使研究人员能够专注于科学探索，而不是技术障碍。这个用户友好的平台使科学界能够在了解极地生态系统及其全球影响方面发现新的见解并推动创新。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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PolarBytes: Advancing polar research with a centralized open-source data sharing platform

The polar regions hold immense ecological and historical significance, offering insights into biomarker identification, climate history, and natural antifreeze proteins. However, global climate change and scattered datasets threaten effective research in these areas. To address these challenges, we developed PolarBytes, a centralized platform for polar research, focusing on biodiversity, climatology, diseases, and molecular biology. PolarBytes streamlines data access, analysis, and visualization through an intuitive interface and advanced machine learning tools. Its robust API system, including RESTful and Swagger interfaces, eliminates manual downloads, supports automation, and enhances research efficiency. By centralizing data from isolated repositories, PolarBytes simplifies data retrieval and fosters collaboration, enabling researchers to focus on scientific exploration rather than technical hurdles. This user-friendly platform empowers the scientific community to uncover new insights and drive innovation in understanding polar ecosystems and their global impact.

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来源期刊

Environmental Modelling & Software 工程技术-工程：环境

CiteScore

9.30

自引率

8.20%

发文量

241

审稿时长

60 days

期刊介绍： Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.