
This toy dataset is designed to help users get started with the GLOSSA Shiny app. It includes occurrences for two species: one globally distributed (sp1.txt) and another endemic to the continental shelf of Australia (sp2.csv). The dataset also contains four predictor variables: two continuous and two categorical (fit_layers.zip). Additionally, it includes files representing two projected climate scenarios (project_layers_1.zip and project_layers_2.zip). We also include two polygons to define the extent of the study area: a global polygon object (world.gpkg) and a polygon delimiting the Australian region (oceania.gpkg).
| 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 |
