inter-university upper atmosphere global observation network (iugonet)

Clicks: 213
ID: 186478
2013
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #203 of 292 articles by views in Proceedings of the National Academy of Sciences of the United States of America

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 292 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
An overview of the Inter-university Upper atmosphere Global Observation NETwork (IUGONET) project is presented with a brief description of the products to be developed. This is a Japanese inter-university research program to build the metadata database for ground-based observations of the upper atmosphere. The project also develops the software to analyze the observational data provided by various universities/institutes. These products will be of great help to researchers in efficiently finding, obtaining, and utilizing various data dispersed across the universities/institutes. This is expected to contribute significantly to the promotion of interdisciplinary research, leading to more a comprehensive understanding of the upper atmosphere.
Reference Key
hayashi2013datainter-university Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;H Hayashi;Y Koyama;T Hori;Y Tanaka;S Abe;A Shinbori;M Kagitani;T Kouno;D Yoshida;S Ueno;N Kaneda;M Yoneda;N Umemura;H Tadokoro;T Motoba;IUGONET project team
Journal Proceedings of the National Academy of Sciences of the United States of America
Year 2013
DOI
10.2481/dsj.WDS-030
URL
http://datascience.codata.org/articles/136
Keywords
database analysis software

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.