169,886 research outputs found
Supplementary Dataset on Scientometrics of Composite Risers
No full textThis dataset on the scientometrics of composite risers is presented. It shows supplementary Data that includes keywords, word clouds and retrieved data from SCOPUS and Web of Science databases. This dataset was used for the paper by applying Scientometric science, which is based on bibliometric analysis. VOS viewer was used for establishing research patterns, visualising maps and identifying transcendental issues on composite risers. The data on composite risers were also included, as the data were subjected to a scientometric study which looked at different parameters like publication authors, and publication's geographical location by country to investigate the research pattern. See the full paper in: Amaechi, C.V.; Huang, B.; Amaechi, E.C.; Oyetunji, A.K.; Kgosiemang, I.M.; Ja’e, I.A.; Udoh, I.; Wang, C. (2022). A scientometric review on mapping research knowledge for composite marine risers. JMSE 2022, accepted
Data on Scientometrics of Teaching in HEA and adapting to COVID-19 (group learning)- Paper 2
No full textThis dataset on the scientometrics of teaching in HEA- group learning (Part 2) is presented. It shows supplementary Data that includes keywords, word clouds and retrieved data from SCOPUS database. This dataset was used for the paper by applying Scientometric science, which is based on bibliometric analysis. The data included different parameters like publication authors, and publication's geographical location by country to investigate the research pattern. See the full paper in: Amaechi, C.V.; Amaechi, E.C.; Onumonu, U.P.; Kgosiemang, I.M. Systematic review and Annotated Bibliography on Teaching in Higher Education Academy via Group Learning to adapt with COVID-19. Education Sciences 2022, 16, under review
Data on Scientometrics of Teaching in HEA and adapting to COVID-19 (online learning)- Paper 1
No full textThis dataset on the scientometrics of teaching in HEA- online learning (Part 1) is presented. It shows supplementary Data that includes keywords, word clouds and retrieved data from SCOPUS database. This dataset was used for the paper by applying Scientometric science, which is based on bibliometric analysis. The data included different parameters like publication authors, and publication's geographical location by country to investigate the research pattern. See the full paper in: Amaechi, C.V.; Amaechi, E.C.; Oyetunji, A.K.; Kgosiemang, I.M. Scientific Review and Annotated Bibliography of Teaching in Higher Education Academy (HEA) on Online Learning: Adapting to the COVID-19 Pandemic. Sustainability 2022, 14, accepted
Supplementary Data on Scientometrics of Marine Hose
No full textThis dataset on the scientometrics of marine hose is presented. It shows supplementary data that includes author details, publication data, funding information, affiliations, keywords, word clouds and retrieved data from Web of Science (WoS) and SCOPUS databases. This dataset was used for the paper by applying Scientometric science, which is based on bibliometric analysis. The results were used for establishing research patterns, visualisation data and identifying developmental issues on marine hoses. The data on marine hose were also included, as the data were subjected to a scientometric study which looked at various parameters like publication years, authorship, and publication's country base to understudy the research pattern. See the full paper in: Amaechi, C.V., Ja'e, I.A., Reda, A., Ju, X. (2022). Scientometric review and thematic areas for the research trends on marine hoses. Energies. 2022
Supplementary Data for the Scientometric Analysis on Asset Management of Offshore Facilities
No full textThis dataset on the scientometrics on asset management of offshore facilities is presented. It shows supplementary Data that includes keywords, word clouds and retrieved data from SCOPUS and Web of Science databases. This dataset was used for the paper by applying Scientometric science, which is based on bibliometric analysis. VOS viewer was used for establishing research patterns, visualising maps and identifying transcendental issues on asset management of offshore facilities. The data shows developments on the oil and gas industry, and application of asset management with themes studied from the keywords. The dataset included on asset management of offshore facilities were subjected to a scientometric study which looked at different parameters like publication authors, and publication's geographical location by country to investigate the research pattern. See the full paper in: Amaechi, C.V.; et al. (2022). Scientometric analysis and Systematic review for the research trends on asset management of offshore facilities. JPSE 2022, under review
Supplementary Dataset on Scientometrics of Composite Risers
No full textThis dataset on the scientometrics of composite risers is presented. It shows supplementary Data that includes keywords, word clouds and retrieved data from SCOPUS and Web of Science databases. This dataset was used for the paper by applying Scientometric science, which is based on bibliometric analysis. VOS viewer was used for establishing research patterns, visualising maps and identifying transcendental issues on composite risers. The data on composite risers were also included, as the data were subjected to a scientometric study which looked at different parameters like publication authors, and publication's geographical location by country to investigate the research pattern. See the full paper in: Amaechi, C.V., et al. (2022). A scientometric review on mapping research knowledge for composite marine risers. JNGSE 2022, under review
Dataset on the structural damage from finite element model (FEM) of armour for flexible riser
No full textThis dataset is on study is on the for the structural damage of flexible riser's armour. It includes the raw data for the simulation conducted on the finite element model (FEM) using ANSYS Mechanical, images and video output from the simulatio
Supplementary Dataset on Scientometrics of Composite Risers
No full textThis dataset on the scientometrics of composite risers is presented. It shows supplementary Data that includes keywords, word clouds and retrieved data from SCOPUS and Web of Science databases. This dataset was used for the paper by applying Scientometric science, which is based on bibliometric analysis. VOS viewer was used for establishing research patterns, visualising maps and identifying transcendental issues on composite risers. The data on composite risers were also included, as the data were subjected to a scientometric study which looked at different parameters like publication authors, and publication's geographical location by country to investigate the research pattern. See the full paper in: Amaechi, C.V.; Huang, B.; Amaechi, E.C.; Oyetunji, A.K.; Kgosiemang, I.M.; Ja’e, I.A.; Udoh, I.; Wang, C. (2022). A scientometric review on mapping research knowledge for composite marine risers. JMSE 2022, accepted.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
Data on Scientometrics of Teaching in HEA and adapting to COVID-19 (online learning)- Paper 1
No full textThis dataset on the scientometrics of teaching in HEA- online learning (Part 1) is presented. It shows supplementary Data that includes keywords, word clouds and retrieved data from SCOPUS database. This dataset was used for the paper by applying Scientometric science, which is based on bibliometric analysis. The data included different parameters like publication authors, and publication's geographical location by country to investigate the research pattern. See the full paper in: Amaechi, C.V.; Amaechi, E.C.; Oyetunji, A.K.; Kgosiemang, I.M. Scientific Review and Annotated Bibliography of Teaching in Higher Education Academy (HEA) on Online Learning: Adapting to the COVID-19 Pandemic. Sustainability 2022, 14, accepted.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
Data on Scientometrics of Teaching in HEA and adapting to COVID-19 (group learning)- Paper 2
No full textThis dataset on the scientometrics of teaching in HEA- group learning (Part 2) is presented. It shows supplementary Data that includes keywords, word clouds and retrieved data from SCOPUS database. This dataset was used for the paper by applying Scientometric science, which is based on bibliometric analysis. The data included different parameters like publication authors, and publication's geographical location by country to investigate the research pattern. See the full paper in: Amaechi, C.V.; Amaechi, E.C.; Onumonu, U.P.; Kgosiemang, I.M. Systematic review and Annotated Bibliography on Teaching in Higher Education Academy via Group Learning to adapt with COVID-19. Education Sciences 2022, 16, under review.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
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