Solar-Terrestrial Data Analysis and Reference System (STARS) - Its High Potentiality for Collaborative Research

M Kunitake; K Yamamoto; S Watari; K Ukawa; H Kato; E Kimura; Y Murayama; K T Murata

doi:10.2481/dsj.WDS-040

Data Science Journal (Apr 2013)

Solar-Terrestrial Data Analysis and Reference System (STARS) - Its High Potentiality for Collaborative Research

M Kunitake,
K Yamamoto,
S Watari,
K Ukawa,
H Kato,
E Kimura,
Y Murayama,
K T Murata

Affiliations

M Kunitake: Space Weather and Environment Informatics Lab., National Institute of Information and Communications Technology (NICT), 4-2-1 Nukui-kita, Koganei, Tokyo 184-8795, Japan
K Yamamoto: Space Weather and Environment Informatics Lab., National Institute of Information and Communications Technology (NICT), 4-2-1 Nukui-kita, Koganei, Tokyo 184-8795, Japan
S Watari: Space Weather and Environment Informatics Lab., National Institute of Information and Communications Technology (NICT), 4-2-1 Nukui-kita, Koganei, Tokyo 184-8795, Japan
K Ukawa: Space Weather and Environment Informatics Lab., National Institute of Information and Communications Technology (NICT), 4-2-1 Nukui-kita, Koganei, Tokyo 184-8795, Japan, Systems Engineering Consultants Co. Ltd., 4-10-1 Yoga, Setagaya, Tokyo 158-0097, Japan
H Kato: Space Weather and Environment Informatics Lab., National Institute of Information and Communications Technology (NICT), 4-2-1 Nukui-kita, Koganei, Tokyo 184-8795, Japan
E Kimura: Dept. Medical Informatics of Medical School of Ehime Univ., Situkawa, Toon City, Ehime 791-0295, Japan
Y Murayama: Integrated Science Data System Research Lab., NICT, 4-2-1 Nukui-kita, Koganei, Tokyo 184-8795, Japan
K T Murata: Space Weather and Environment Informatics Lab., National Institute of Information and Communications Technology (NICT), 4-2-1 Nukui-kita, Koganei, Tokyo 184-8795, Japan

DOI: https://doi.org/10.2481/dsj.WDS-040
Journal volume & issue: Vol. 12

Abstract

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Cross-sectional studies have become important for an improved understanding of various Solar-Terrestrial Physics (STP) fields, given the great variety and different types of observations from the Sun to the Earth. In order to better combine, compare, and analyze different types of data together, a system named STARS (Solar-Terrestrial data Analysis and Reference System) has been developed. Cross-sectional study requires cooperative work. STARS has two functions for cooperative work, the "Stars Project List (SPL)" and the "Event Listing". The SPL is used for exchanges of plotting information by cooperating persons. The event list database provides all users of STARS hints for recognizing typical occurrences of STP phenomena.

Published in Data Science Journal

ISSN: 1683-1470 (Online)
Publisher: Ubiquity Press
Country of publisher: United Kingdom
LCC subjects: Science: Science (General)
Website: http://datascience.codata.org/

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