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The DASCO workflow has been designed to integrate regional checklists of alien species occurrences and occurrence records provided by GBIF and OBIS to identify coordinate-based occurrences of alien populations. It can therefore be used to downscale information available in regional checklists and to re-allocate species occurrences to any spatial categorisation, which is provided by the user. The DASCO workflow is written in R and open access. The workflow is described together with a global case study in a peer-reviewed publication (see below) together with a manual. When using any components of the workflow, please cite the following publication: Seebens H, Kaplan E (2022) DASCO: A workflow to downscale alien species checklists using occurrence records and to re-allocate species distributions across realms. NeoBiota 74: 75-91. https://doi.org/10.3897/neobiota.74.81082
| 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). | 1 | |
| 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 |
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