Downloads provided by UsageCounts
doi: 10.46471/gigabyte.54 , 10.5281/zenodo.6379002 , 10.5281/zenodo.6534797 , 10.5281/zenodo.6379001
pmid: 36824520
pmc: PMC9930537
handle: 10230/56792 , 10261/271167 , 11577/3479930 , 11573/1643040
doi: 10.46471/gigabyte.54 , 10.5281/zenodo.6379002 , 10.5281/zenodo.6534797 , 10.5281/zenodo.6379001
pmid: 36824520
pmc: PMC9930537
handle: 10230/56792 , 10261/271167 , 11577/3479930 , 11573/1643040
The Mosquito Alert dataset includes occurrence records of adult mosquitoes collected worldwide in 2014–2020 through Mosquito Alert, a citizen science system for investigating and managing disease-carrying mosquitoes. Records are linked to citizen science-submitted photographs and validated by entomologists to determine the presence of five targeted European mosquito vectors: Aedes albopictus, Ae. aegypti, Ae. japonicus, Ae. koreicus, and Culex pipiens. Most records are from Spain, reflecting Spanish national and regional funding, but since autumn 2020 substantial records from other European countries are included, thanks to volunteer entomologists coordinated by the AIM-COST Action, and to technological developments to increase scalability. Among other applications, the Mosquito Alert dataset will help develop citizen science-based early warning systems for mosquito-borne disease risk. It can also be reused for modelling vector exposure risk, or to train machine-learning detection and classification routines on the linked images, to assist with data validation and establishing automated alert systems.
Ecology, Citizen Science, Ecology, Taxonomy, Biodiversity, Data Release, Invasive alien species, mosquito; aedes; app; digital app; citizen science; dataset, QA75.5-76.95, Biodiversity, 106054 Zoology, Citizen science, Vectors, 106054 Zoologie, Mosquito, QL Zoology / állattan, Electronic computers. Computer science, QH540 Ecology / ökológia, Biodiversity; Ecology; Taxonomy;, Crowdsourcing, Medical Entomology, VBDs, Taxonomy
Ecology, Citizen Science, Ecology, Taxonomy, Biodiversity, Data Release, Invasive alien species, mosquito; aedes; app; digital app; citizen science; dataset, QA75.5-76.95, Biodiversity, 106054 Zoology, Citizen science, Vectors, 106054 Zoologie, Mosquito, QL Zoology / állattan, Electronic computers. Computer science, QH540 Ecology / ökológia, Biodiversity; Ecology; Taxonomy;, Crowdsourcing, Medical Entomology, VBDs, Taxonomy
| 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). | 38 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
| views | 84 | |
| downloads | 234 |

Views provided by UsageCounts
Downloads provided by UsageCounts