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 inf...

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Bibliographic Details
Published in:Geoscience data journal Vol. 10; no. 1; pp. 130 - 141
Main Authors: Tanaka, Yoshimasa, Umemura, Norio, Abe, Shuji, Shinbori, Atsuki, UeNo, Satoru
Format: Journal Article
Language:English
Published: Bognor Regis John Wiley & Sons, Inc 01.01.2023
Wiley
Subjects:
Analog data
Analysis
analysis software
Atmosphere
Atmospheric research
Data analysis
Datasets
ground‐based observation
Instruments
Interactive systems
Ionosphere
Keywords
Linkage analysis
Metadata
metadata database
Observatories
Researchers
Scientific visualization
Searching
Software
Solar cycle
solar–terrestrial physics
Upper atmosphere
User interface
ISSN:2049-6060, 2049-6060
Online Access:Get full text
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Summary: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. This paper presents tools that help researchers implement the processes of data‐led studies of upper‐atmospheric phenomena. The data service named IUGONET Type‐A has useful functions: an easy cross‐searching system, a quick‐look data‐plotting procedure, an interactive data visualization system, and strong linkage with analysis software. It provides a one‐stop data service that can assist users in searching, examining, and comprehending data for advanced analysis. Thus, it will provide useful support for innovative interdisciplinary scientific research on solar–terrestrial phenomena.
Bibliography:http://database.rish.kyoto‐u.ac.jp/arch/
World Data Center for Geomagnetism, Kyoto University
RISH Data Server, Kyoto University
More than 1,200 data sets have been registered to this data service. Some of the data sets have DOIs, while others do not.
Dataset
https://ergsc.isee.nagoya‐u.ac.jp/data_info/ground.shtml.en
http://data.i‐spes.kyushu‐u.ac.jp/
Link to the data service, IUGONET Type‐A
This data service is based on the metadata database. It was developed by the inter‐university project in Japan; thus, the data sets registered to this data service are distributed across many universities and institutes in Japan. The examples of the repositories where the data sets are located are as follows
http://search.iugonet.org/
https://www.hida.kyoto‐u.ac.jp/
National Institute of Polar Research
https://wdc.kugi.kyoto‐u.ac.jp/wdc/Sec3.html
ERG Science Center, Nagoya University
http://iugonet0.nipr.ac.jp/data/
i‐SPES, Kyushu University
Astronomical Observatory, Kyoto University
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SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:2049-6060
2049-6060
DOI:10.1002/gdj3.170