<HashMap><database>bioimages</database><scores/><additional><omics_type>Unknown</omics_type><volume>11</volume><volume>9</volume><submitter/><species>Culicidae (mosquito)</species><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-BIAD249</full_dataset_link><repository>bioimages</repository><additional_accession>//www.mosquitoalert.com/</additional_accession><figure_sub>Study Component</figure_sub><figure_sub>organisation</figure_sub><figure_sub>Study Protocols</figure_sub><pubmed_authors>John Palmer</pubmed_authors><pubmed_authors>Roger Eritja</pubmed_authors><pubmed_authors>Joan Garriga</pubmed_authors><pubmed_authors>Frederic Bartumeus</pubmed_authors></additional><is_claimable>false</is_claimable><name>Mosquito Alert Image Dataset</name><description>Mosquito-Alert http://www.mosquitoalert.com/ is a cooperative citizen science observatory coordinated by different public research institutions. Its main objective is to monitor  the spread of invasive species of mosquitoes, particularly  the tiger mosquito and the yellow fever mosquito,  vectors of global diseases like Zika, Dengue and Chikungunya. The Mosquito-Alert app allows citizens to report a possible finding of the targeted species or their breeding places on the public space by sending images. The app collects the GPS position and other related information along with the image. Afterwards, a team of entomology experts validates the images. The validation is sent back to the participant and published in a public map of observations.</description><dates><release>2021-12-19T00:00:00Z</release><modification>2023-03-04T03:33:22.154Z</modification><creation>2021-12-23T20:10:17.384Z</creation></dates><accession>S-BIAD249</accession><cross_references/></HashMap>