Bibliographic dataset of literature for analysing global trends and progress of the machine learning paradigm in space weather research

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Bibliographic Details
Published inData in Brief Vol. 51; p. 109667
Main Authors Nur Dalila K.A., Mohamad Huzaimy Jusoh, Syamsiah Mashohor, Aduwati Sali, Akimasa Yoshikawa, Nurhani Kasuan, Mohd Helmy Hashim, Muhammad Asraf Hairuddin
Format Journal Article
LanguageJapanese
Published Elsevier BV 01.12.2023
Subjects
Bibliometric evaluation
Bibliometrics
Climate Change and Variability Research
Climate Modeling
Computer applications to medicine. Medical informatics
Computer science
Data Article
Data science
Development trends analysis
Environmental Engineering
Environmental Science
Field (mathematics)
Forecasting
FOS: Environmental engineering
FOS: Law
FOS: Mathematics
FOS: Political science
FOS: Sociology
Global and Planetary Change
Information retrieval
Law
Literature review data
Low-Cost Air Quality Monitoring Systems
Mathematics
MEDLINE
Multidisciplinary approach
Open-source R-package
Operating system
Physical Sciences
Political science
Pure mathematics
Q1-390
R858-859.7
Science (General)
Scopus
Social science
Sociology
Space (punctuation)
Visualisation
Web of science
World Wide Web
Online AccessGet full text
ISSN2352-3409
2352-3409
DOI10.1016/j.dib.2023.109667

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Author Mohamad Huzaimy Jusoh
Nur Dalila K.A.
Muhammad Asraf Hairuddin
Mohd Helmy Hashim
Akimasa Yoshikawa
Aduwati Sali
Nurhani Kasuan
Syamsiah Mashohor
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  orcidid: 0000-0002-9687-4372
  fullname: Mohd Helmy Hashim
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SubjectTerms Bibliometric evaluation
Bibliometrics
Climate Change and Variability Research
Climate Modeling
Computer applications to medicine. Medical informatics
Computer science
Data Article
Data science
Development trends analysis
Environmental Engineering
Environmental Science
Field (mathematics)
Forecasting
FOS: Environmental engineering
FOS: Law
FOS: Mathematics
FOS: Political science
FOS: Sociology
Global and Planetary Change
Information retrieval
Law
Literature review data
Low-Cost Air Quality Monitoring Systems
Mathematics
MEDLINE
Multidisciplinary approach
Open-source R-package
Operating system
Physical Sciences
Political science
Pure mathematics
Q1-390
R858-859.7
Science (General)
Scopus
Social science
Sociology
Space (punctuation)
Visualisation
Web of science
World Wide Web
Title Bibliographic dataset of literature for analysing global trends and progress of the machine learning paradigm in space weather research
URI https://cir.nii.ac.jp/crid/1873961343034009472
Volume 51
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