
This R worklfow is used to generate the Global Tuna Atlas datasets. The code has been developped and can be directly executed in the virtual environments of the RStudio server hosted in the same Virtual Lab provided by Blue-Cloud 2026 project which implements best practices for Open Science and FAIR data management. Find more details about these datasets on FIRMS Website.
Tuna fisheries, GBIF, Open Science, R, web mapping, Darwin Core, FAIR services, reproducible research, Shiny app
Tuna fisheries, GBIF, Open Science, R, web mapping, Darwin Core, FAIR services, reproducible research, Shiny app
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
