用于指导高层大气现象的数据主导研究过程的先进工具

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Yoshimasa Tanaka, Norio Umemura, Shuji Abe, Atsuki Shinbori, Satoru UeNo
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引用次数: 1

摘要

本文介绍了帮助研究人员实施以数据为主导的高层大气现象研究过程的工具。这些工具是作为日本大学间高层大气全球观测网(IUGONET)活动的一部分开发的,这是一个开发高层大气研究数据基础设施的项目。本文的重点是名为IUGONET Type - A的数据服务,该服务于2016年10月推出,此后不断发展。除了作为一个传统的元数据目录之外,它还有许多其他有用的功能:一个简单的交叉搜索系统,一个快速查看的数据绘图程序,一个名为UDAS web的交互式数据可视化系统,以及与分析软件的强链接。用户可以使用按仪器/项目、观测区域和特别活动分类的列表或世界天文台地图,从大量数据集中获取相关数据。通过比较浏览器显示的各种数据的快速查看图,用户可以快速找到发生的现象的时间、地点和性质。UDAS网络允许研究人员交互式地创建各种数据类型的堆叠图,这有助于理解在不同地区观察到的现象之间的关系。此外,它还提供了一个用于数据分析的软件的命令列表,可以顺利地引导用户执行详细的分析。IUGONET Type - A提供一站式数据服务,可以帮助用户搜索、检查和理解数据,以便进行高级分析。它还能够处理旧数据,包括模拟数据和书面文件。因此,它将为日地现象的创新跨学科科学研究提供有益的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Advanced tools for guiding data-led research processes of Upper-Atmospheric phenomena

Advanced tools for guiding data-led research processes of Upper-Atmospheric phenomena

This paper presents tools that help researchers implement the processes of data-led studies of upper-atmospheric phenomena. These tools were developed as a part of the activities of the Inter-university Upper atmosphere Global Observation NETwork (IUGONET) of Japan, which is a project to develop infrastructure for upper-atmospheric research data. This paper focuses on the data service named IUGONET Type-A, which was launched in October 2016 and has since evolved. In addition to being a conventional metadata catalogue, it has many other useful functions: an easy cross-searching system, a quick-look data-plotting procedure, an interactive data visualization system named UDAS web, and strong linkage with analysis software. Users can pick up relevant data from a huge number of data sets using either lists categorized by instruments/projects, observed regions and special campaigns or a world map of observatories. Users can quickly find the time, location and nature of phenomena that occurred by comparing the quick-look plots of various data displayed by the browser. UDAS web allows researchers to interactively create stacked plots of various data types that can facilitate the understanding of the relationships among phenomena observed in different regions. Furthermore, it presents a command list for software dedicated to data analysis that can smoothly lead users to perform detailed analyses. IUGONET Type-A provides a one-stop data service that can assist users in searching, examining and comprehending data for advanced analysis. It is also capable of handling old data, including analogue data and written paper documents. Thus, it will provide useful support for innovative interdisciplinary scientific research on solar–terrestrial phenomena.

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来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍: Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.
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