Data publication activities for the Global Muon Detector Network (GMDN)

Solar modulation studies by ground-based muon and neutron detectors are closely related to atmospheric and space environment sciences, and sharing research data has been a common approach to reveal these complex systems. The Global Muon Detector Network (GMDN) has recently finalized the archival dataset downloadable on the website. It is also notable that the concept of open data and cross-disciplinary research is becoming a major trend in all scientific fields, sometimes called "open science." Leveraging this situation, we are upgrading our data publication strategy in collaboration with outside platforms. The GMDN archival data was registered to Shinshu University's institutional repository and provided a permanent digital object identifier. This registration also made the GMDN data findable in the dataset search engines such as Google Dataset Search. Moreover, we prepared our observational data and its metadata in scientific standardized formats, Common Data Format (CDF) and Space Physics Archive Search and Extract (SPASE) schema respectively. CDF features a self-describing format where the metadata is combined with numerical data for consistency. This standardized format also allows us to use data analysis frameworks, such as Space Physics Environment Data Analysis Software (SPEDAS). The CDF data and SPASE metadata were published on the IUGONET database, which supports SPEDAS with its own plugin software. It will also appear in more interdisciplinary database, Advanced Multidisciplinary Integrated Database for Exploring new Research (AMIDER) which collaborates with IUGONET. We report these data publication activities aiming to contribute to the open and fusion sciences based on cosmic-ray physics.

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Publication Details

Published
2025-09-23
DOI
https://doi.org/10.22323/1.501.1314
Primary Topic
International Science and Diplomacy
Type
article
Field-Weighted Citation Impact
0.00

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Data publication activities for the Global Muon Detector Network (GMDN)

Naoko Miyashita, Shoko Miyake, C. Kato, Akira Kadokura et al.
International Science and Diplomacy
article

Data publication activities for the Global Muon Detector Network (GMDN)

Naoko Miyashita, Shoko Miyake, C. Kato, Akira Kadokura, K. Munakata, M. Kozai, Ryuho Kataoka, Yuki Hayashi
article en

Abstract

Solar modulation studies by ground-based muon and neutron detectors are closely related to atmospheric and space environment sciences, and sharing research data has been a common approach to reveal these complex systems. The Global Muon Detector Network (GMDN) has recently finalized the archival dataset downloadable on the website. It is also notable that the concept of open data and cross-disciplinary research is becoming a major trend in all scientific fields, sometimes called "open science." Leveraging this situation, we are upgrading our data publication strategy in collaboration with outside platforms. The GMDN archival data was registered to Shinshu University's institutional repository and provided a permanent digital object identifier. This registration also made the GMDN data findable in the dataset search engines such as Google Dataset Search. Moreover, we prepared our observational data and its metadata in scientific standardized formats, Common Data Format (CDF) and Space Physics Archive Search and Extract (SPASE) schema respectively. CDF features a self-describing format where the metadata is combined with numerical data for consistency. This standardized format also allows us to use data analysis frameworks, such as Space Physics Environment Data Analysis Software (SPEDAS). The CDF data and SPASE metadata were published on the IUGONET database, which supports SPEDAS with its own plugin software. It will also appear in more interdisciplinary database, Advanced Multidisciplinary Integrated Database for Exploring new Research (AMIDER) which collaborates with IUGONET. We report these data publication activities aiming to contribute to the open and fusion sciences based on cosmic-ray physics.

Research Organization of Information and Systems, Japan Society for the Promotion of Science
Openalex Percentile: Top 70%
International Science and Diplomacy
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