{"loaderData":{"0":null,"0-0":{"messages":{"dataset.datasetSearchTitle":"Dataset search","dataset.longType.OCCURRENCE":"Occurrence dataset","dataset.longType.CHECKLIST":"Checklist dataset","dataset.longType.SAMPLING_EVENT":"Sampling event","dataset.longType.METADATA":"Metadata dataset","dataset.metricHighlights.occurrences":"Occurrences","dataset.metricHighlights.withTaxonMatch":"With taxon match","dataset.metricHighlights.withCoordinates":"With coordinates","dataset.metricHighlights.withYear":"With year","dataset.metricHighlights.acceptedNames":"Accepted names","dataset.metricHighlights.synonyms":"Synonyms","dataset.noStatsForMetadata":"No statistics available for metadata only datasets","dataset.siteScopeSmallerThanDataset":"Not all records from the dataset are included on this site. Visit [GBIF.org]({datasetUrl}) to explore the full dataset.","dataset.viewArticle":"View article","dataset.registeredDate":"Registered {DATE}","dataset.constituentOf":"Constituent of","dataset.dataset":"Dataset","dataset.taxonomy":"Taxonomy","dataset.project":"Project","dataset.metrics":"Metrics","dataset.metricsOccurrenceHelpText":"Metrics are based on interpreted data","dataset.constituents":"Constituents","dataset.download":"Download","dataset.datasetHomepage":"Home page","dataset.nConstituentDatasets":"{NUMBER_FORMATED} {NUMBER, plural, one{constituent dataset} other{constituent datasets}}","dataset.consistuentDatasets":"Constituent datasets","dataset.noConstituentDatasets":"No constituent datasets","dataset.logs":"Logs","dataset.noDownloads":"No downloads yet","dataset.finished":"Finished","dataset.activity":"Activity","dataset.title":"Title","dataset.projectId":"Project ID","dataset.studyArea":"Study area","dataset.publishedBy":"Published by","dataset.mediatedBy":"Mediated by","dataset.description":"Description","dataset.metadataLanguage":"Metadata language","dataset.dataLanguage":"Data language","dataset.dataDescriptions":"External data descriptions","dataset.purpose":"Purpose","dataset.methodology":"Methodology","dataset.studyExtent":"Study extent","dataset.keywords":"Keywords","dataset.qualityControl":"Quality control","dataset.sampling":"Sampling","dataset.methodSteps":"Method steps","dataset.nDownloadEvents":"{NUMBER_FORMATED} {NUMBER, plural, one{download event} other{download events}}","dataset.nFromDataset":"{NUMBER_FORMATED} {NUMBER, plural, one{occurrence from this dataset} other{occurrences from this dataset}}","dataset.funding":"Funding","dataset.contacts":"Contacts","dataset.registration":"GBIF registration","dataset.dataDescription":"Data description","dataset.bibliography":"Bibliography","dataset.citation":"Citation","dataset.temporalCoverages":"Temporal scope","dataset.history":"History","dataset.ingestNow":"Ingest now","dataset.readFullDescription":"More","dataset.howToCite":"How to cite","dataset.geographicCoverages":"Geographic scope","dataset.taxonomicCoverages":"Taxonomic scope","dataset.coverage":"Coverage","dataset.additionalInfo":"Additional info","dataset.publishingCountriesAreas":"Publishing countries and areas","dataset.originalArchive":"Source archive","dataset.originalArchiveDescription":"The source archive is the data as published to GBIF without any normalization or processing via GBIF.","dataset.checklistBankDownload":"Download from ChecklistBank","dataset.checklistBankDownloadDescription":"This archived comes to GBIF via ChecklistBank. ChecklistBank provides multiple download formats as well as options to filter checklists before downloading.","dataset.annotatedEml":"GBIF annotated metadata","dataset.license":"Licence","dataset.recommended":"Recommended","dataset.processedOccurrences":"GBIF annotated occurrence archive","dataset.processedOccurrencesDescription":"Download the occurrence records after GBIF processing. During processing, names, dates etc are normalised. The data is also enriched with information from other sources.\n\nBe aware that an account is needed to download the content.","dataset.noDescriptionProvided":"No description available","dataset.pNetwork":"{NUMBER, plural, one{Network} other{Networks}}","dataset.parentEvent":"Parent event","dataset.eventDescription":"Event description","dataset.siblingEvents":"Sibling events","dataset.childEvents":"Child events","dataset.events":"Events","dataset.boundingBox":"Bounding box","dataset.latitude":"Latitude","dataset.longitude":"Longitude","dataset.verbatim":"Verbatim","dataset.occurrenceCount":"Occurrence count","dataset.inDataset":"In","dataset.samplingArticleLink":"More about sampling events on GBIF.org","dataset.includesDna":"Includes DNA","dataset.includesDnaDescription":"There are records in this dataset that contain sequence data.","dataset.containsSamplingEvents":"Contains sampling events","dataset.containsSamplingEventsDescription":"This dataset contains sampling data. Details on the sampling method appear in the methodology section of the dataset description.","dataset.griddedData":"Gridded data","dataset.griddedDataDescription":"Based on our analysis of the records, this dataset likely contains gridded data. Read more in this [blog post about gridded datasets](https://data-blog.gbif.org/post/gridded-datasets-update/).","dataset.registry.failedSinceSuccess":"Failed attempts since last successful ingestion","dataset.registry.lastFailed":"Last failed attempt","dataset.registry.registrationDate":"Registration date","dataset.registry.lastSuccess":"Last successful ingestion","dataset.registry.lastWithChange":"Last ingestion with changes","dataset.registry.noEntries":"This dataset has no ingestion entries","dataset.registry.lastWithDataChange":"Last ingestion with data change","dataset.registry.occInLastIngestion":"Occurrences in last ingestion","dataset.registry.completionReasons":"Ingestion completion reasons","dataset.registry.unfinished":"Unfinished ingestions","dataset.registry.total":"Ingestions in total","dataset.registry.endpoints":"Endpoints","dataset.registry.installationContacts":"Installation contacts","dataset.registry.installation":"Installation","dataset.registry.dataLastChanged":"Data last changed","dataset.registry.pubDate":"Publication date","dataset.registry.hostedBy":"Hosted by","dataset.registry.hostingStatus":"Hosting status","dataset.registry.metdataLastModified":"Metadata last modified","dataset.registry.preferredIdentifier":"Preferred identifier","dataset.registry.alternativeIdentifier":"Alternative identifiers","dataset.registry.ORPHANED":"Orphaned dataset","dataset.registry.RESCUED":"Rescued orphan dataset","dataset.registry.ADOPTED":"Adopted dataset","dataset.registry.neverIngested":"Never ingested","dataset.registry.inIngestionQueue":"Is in ingestion queue","dataset.registry.addingToQueue":"Adding to queue","dataset.registry.unableToStart":"Unable to start ingestion","dataset.registry.ingestionChartExplainer":"Most recent ingestions. Top left is the latest.","dataset.registry.ingestionStatus":"Ingestion status","dataset.registry.itemInIngestionQueue":"Items in ingestion queue","dataset.registry.datasetIngestionStatus":"Dataset ingestion status","dataset.registry.gbifIngestionStatus":"GBIF ingestion status","dataset.registry.lastIngestionSuccess":"Last ingestion successful","dataset.registry.lastIngestionFailed":"Last ingestion failed","dataset.registry.outOfSync":"Out of sync","dataset.registry.becauseTrustedContact":"Because you are trusted contact","dataset.registry.registrationDetails":"GBIF registration details","publisher.searchTitle":"Publisher search","publisher.tabs.aboutPublisher":"About","publisher.tabs.metrics":"Metrics","publisher.tabs.publishersHomepage":"Home page","publisher.joinedDate":"Joined {date}","publisher.newPublisher":"New publisher","publisher.technicalContact":"Technical contact","publisher.country":"Country or area","publisher.hosting":"Hosting","publisher.description":"Description","publisher.endorsedBy":"Endorsed by","publisher.pendingEndorsementBy":"Pending endorsement by","publisher.endorsementWithheld":"Endorsement withheld","publisher.installations":"Installations","publisher.getDownloadReport":"Download activity report","publisher.contacts":"Contacts","publisher.administrativeContact":"Administrative contact","publisher.header.publisher":"Publisher","publisher.header.sinceDate":"Since {DATE}","collection.institutionUnknown":"Institution is unknown","collection.contentTypes":"Content types","collection.preservationTypes":"Preservation types","collection.personalCollection":"Personal collection","collection.accessionStatus":"Accession status","collection.numberSpecimens":"Number of specimens in collection","installation.installation":"Installation","installation.about":"About","installation.homepage":"Home page","installation.installationType":"Installation type","installation.hostedBy":"Hosted by","installation.registered":"Registered","installation.endpoints":"Endpoints","network.network":"Network","network.tabs.summary":"Summary","network.tabs.metrics":"Metrics","network.tabs.datasets":"Datasets","network.tabs.publishers":"Publishers","grscicoll.foundingDate":"Founding date","grscicoll.geographicDescription":"Geographic description","grscicoll.taxonomicDescription":"Taxonomic description","grscicoll.temporalDescription":"Temporal description","grscicoll.additionalNames":"Additional names","grscicoll.description":"Description","grscicoll.code":"Code","grscicoll.active":"Active","grscicoll.inactive":"Inactive","grscicoll.alternativeCodes":"Alternative codes","grscicoll.apiUrl":"URL for Collection's Web Services","grscicoll.catalogUrl":"Online Catalog/Database","grscicoll.homepage":"Homepage","grscicoll.phone":"Phone number","grscicoll.email":"Email","grscicoll.fax":"Fax number","grscicoll.mailingAddress":"Mailing address","grscicoll.physicalAddress":"Physical address","grscicoll.contacts":"Contacts","grscicoll.address":"Address","grscicoll.province":"State/Province","grscicoll.postalCode":"Postal/Zip Code","grscicoll.city":"City/Town","grscicoll.country":"Country","grscicoll.logoUrl":"Logo","grscicoll.notes":"Notes","grscicoll.collectionCode":"Collection code","grscicoll.institutionCode":"Institution code","grscicoll.specimensViaGbif":"Specimen records shared with GBIF","grscicoll.specimens":"Specimens","grscicoll.identifiers":"Identifiers","grscicoll.importantCollectors":"Important collectors","grscicoll.incorporatedCollections":"Incorporated collections","grscicoll.unknownSize":"Unknown size","grscicoll.dashboard":"Dashboard","grscicoll.dataCatalog":"Data catalog","grscicoll.edit":"Edit","grscicoll.editHelpText":"No login required","grscicoll.githubHelpText":"Leave a comment - requires a Github account","grscicoll.entryCreated":"Entry created","grscicoll.lastModified":"Last modified","grscicoll.modifiedBy":"Modified by","grscicoll.masterSource":"Master source","grscicoll.fromInstitution":"From {institution}","grscicoll.tabs.about":"About","grscicoll.tabs.explore":"Explore catalog","grscicoll.citesPermitNumber":"Cites permit number","grscicoll.collectionDescriptorsHeadline":"Collection descriptors","grscicoll.collectionDescriptorsIntroduction":"Collection descriptors allows a collection to be described in more detail. This can be useful for collections that are not yet digitized or for collections that have specific characteristics that are not covered by the standard collection metadata.","grscicoll.collectionSearchNoResultsMessage":"Collection metadata are often high level and not exhaustive. Consider broadening your scope or try searching for digitized specimens.","grscicoll.searchForSpecimens":"Search for specimens","institution.institutionalGovernance":"Institutional governance","institution.type":"Institution Type","institution.addCollection":"Add collection","institution.disciplines":"Institutional disciplines","institution.numberSpecimens":"Number of specimens in institution","catalogues.occurrences":"Occurrences","catalogues.datasets":"Datasets","catalogues.species":"Species","catalogues.publishers":"Publishers","catalogues.literature":"Literature","catalogues.collections":"Collections","catalogues.institutions":"Institutions","tableHeaders.features":"Features","tableHeaders.citations":"Citations","tableHeaders.occurrences":"Occurrences","tableHeaders.numberSpecimens":"Number of specimens","tableHeaders.gbifNumberSpecimens":"Specimens in GBIF","tableHeaders.title":"Title","tableHeaders.titleAndAbstract":"Title and abstract","tableHeaders.altmetric":"Altmetric","tableHeaders.registered":"Registered","tableHeaders.hostedDatasets":"Hosted datasets","tableHeaders.pubDatasets":"Published datasets","tableHeaders.species":"Number of species","tableHeaders.institution":"Institution","tableHeaders.collection":"Collection","tableHeaders.collectionCount":"Collections","tableHeaders.active":"Is active","intervals.description.lt":"Less than {to}","intervals.description.lte":"Less or equal {to}","intervals.description.gt":"Greater than {from}","intervals.description.gte":"Greater or equal {from}","intervals.description.e":"Equals {is}","intervals.description.between":"From {from} to {to}","intervals.compact.between":"{from} to {to}","intervals.compact.lt":"Below {to}","intervals.compact.gt":"Above {from}","intervals.compact.e":"{from}","intervals.compactMeters.between":"{from}m to {to}m","intervals.compactMeters.lt":"Below {to}m","intervals.compactMeters.gt":"Above {from}m","intervals.compactMeters.e":"{from}m","intervals.compactTime.between":"{from} to {to}","intervals.compactTime.lt":"Before {to}","intervals.compactTime.gt":"After {from}","intervals.compactTime.e":"{from}","intervals.year.between":"Year {from} to {to}","intervals.year.lt":"Before year {to}","intervals.year.gt":"After year {from}","intervals.year.e":"Year is {from}","intervals.coordinateUncertainty.between":"Coordinate uncertainty {from}m to {to}m","intervals.coordinateUncertainty.lt":"Coordinate uncertainty below {to}m","intervals.coordinateUncertainty.gt":"Coordinate uncertainty above {from}m","intervals.coordinateUncertainty.e":"Coordinate uncertainty is {from}m","intervals.depth.between":"Depth {from} to {to}","intervals.depth.lt":"Depth below {to}","intervals.depth.gt":"Depth above {from}","intervals.depth.e":"Depth is {from}","intervals.organismQuantity.between":"Organism quantity {from} to {to}","intervals.organismQuantity.lt":"Organism quantity below {to}","intervals.organismQuantity.gt":"Organism quantity above {from}","intervals.organismQuantity.e":"Organism quantity is {from}","intervals.sampleSizeValue.between":"Sample size value {from} to {to}","intervals.sampleSizeValue.lt":"Sample size value below {to}","intervals.sampleSizeValue.gt":"Sample size value above {from}","intervals.sampleSizeValue.e":"Sample size value is {from}","intervals.relativeOrganismQuantity.between":"Relative organism quantity {from} to {to}","intervals.relativeOrganismQuantity.lt":"Relative organism quantity below {to}","intervals.relativeOrganismQuantity.gt":"Relative organism quantity above {from}","intervals.relativeOrganismQuantity.e":"Relative organism quantity is {from}","intervals.elevation.between":"Elevation {from} to {to}","intervals.elevation.lt":"Elevation below {to}","intervals.elevation.gt":"Elevation above {from}","intervals.elevation.e":"Elevation is {from}","intervals.geoDistance.short":"Within {distance} of {latitude},{longitude}","intervals.geoDistance.description":"Latitude {latitude}, longitude: {longitude}, distance: {distance}","intervals.units.name.km":"kilometres","intervals.units.name.m":"metres","intervals.units.name.mi":"miles","intervals.units.name.ft":"feet","filters.dwcaExtension.name":"DWCA extension","filters.dwcaExtension.count":"{num, plural, one { DWCA extension } other {# DWCA extensions}}","filters.dwcaExtension.description":"A short description of the component should be placed here","filters.locationId.name":"Location ID","filters.locationId.count":"{num, plural, one { Location ID } other {# Location IDs}}","filters.locationId.description":"Publishers can choose to assign IDs to the location. This field is not normalized, meaning that you search data as provided by the publisher.","filters.hasCoordinate.name":"Has coordinate","filters.hasCoordinate.count":"Has coordinates","filters.hasCoordinate.description":"Whether the record has coordinates.","filters.hasGeospatialIssues.name":"Has geospatial issues","filters.hasGeospatialIssues.count":"Has geospatial issues","filters.hasGeospatialIssues.description":"Whether the record has geospatial issues.","filters.collectionKey.name":"Collection","filters.collectionKey.count":"{num, plural, one {# collection } other {# collections}}","filters.collectionKey.description":"The collection in GrSciColl this record was matched to","filters.numberSpecimens.name":"Number of specimens","filters.numberSpecimens.count":"{num, plural, one { specimen count } other {# Specimen counts filters}}","filters.numberSpecimens.description":"The number of held specimens stated in the description. This number does not reflect how many records have been digitized and shared.","filters.specimensInGbif.name":"Specimens in GBIF","filters.specimensInGbif.count":"{num, plural, one { GBIF specimen count } other {# specimens in GBIF}}","filters.specimensInGbif.description":"Number of specimen records published on GBIF and linked to the institution entry.","filters.iucnRedListCategory.name":"IUCN Global Red List Category","filters.iucnRedListCategory.count":"{num, plural, one { IUCN Global Red List category } other {# IUCN Global Red List categories}}","filters.iucnRedListCategory.description":"The IUCN Red List of Threatened Species groups taxa by how threatened they are.","filters.geoDistance.name":"Distance from coordinates","filters.geoDistance.count":"{num, plural, one { filter } other {# filters }}","filters.geoDistance.description":"Filter on records within a given distance from a point","filters.geoDistance.placeholderLat":"Latitude","filters.geoDistance.placeholderLon":"Longitude","filters.geoDistance.placeholderDist":"Distance","filters.geometry.name":"Location","filters.geometry.count":"{num, plural, one { filter } other {# filters }}","filters.geometry.description":"Filter on records within a given geometric area. The area can be a point, a line, a polygon, or a bounding box.","filters.geometry.placeholderLat":"Latitude","filters.geometry.placeholderLon":"Longitude","filters.geometry.placeholderDist":"Distance","filters.relevance.name":"Relevance","filters.relevance.count":"{num, plural, one { relevance } other {# relevance filters}}","filters.relevance.description":"How is GBIF used in the literature.","filters.topics.name":"Topic","filters.topics.count":"{num, plural, one { topic } other {# topics}}","filters.topics.description":"What are the topics of the record.","filters.audiences.name":"Audience","filters.audiences.count":"{num, plural, one { audience } other {# audiences}}","filters.audiences.description":"Who are the audiences for the resource.","filters.purposes.name":"Topic","filters.purposes.count":"{num, plural, one { purpose } other {# purposes}}","filters.purposes.description":"What are the purposes of the resource.","filters.eventDate.name":"Event date","filters.eventDate.count":"{num, plural, one {# event date } other {# event dates}}","filters.eventDate.description":"When was the record collected or observed.","filters.alternativeCode.name":"Alternative code","filters.alternativeCode.count":"{num, plural, one {# alternative code } other {# alternative codes}}","filters.alternativeCode.description":"Any additional code that is already in use for the same record in other contexts (for example, historical codes).","filters.identifier.name":"Identifier","filters.identifier.count":"{num, plural, one {# identifier } other {# identifiers}}","filters.identifier.description":"A short description of the component should be placed here","filters.institutionType.name":"Type","filters.institutionType.count":"{num, plural, one {# type } other {# types}}","filters.institutionType.description":"Institution type (museum, herbarium, etc.)","filters.discipline.name":"Discipline","filters.discipline.count":"{num, plural, one {# discipline } other {# disciplines}}","filters.discipline.description":"The research disciplines the the institution houses.","filters.collectionContentType.name":"Content type","filters.collectionContentType.count":"{num, plural, one {# content type } other {# content types}}","filters.collectionContentType.description":"The type of objects available in the collection","filters.preservationType.name":"Preservation type","filters.preservationType.count":"{num, plural, one {# preservation type } other {# preservation types}}","filters.preservationType.description":"The method used to preserve the objects available in the collection","filters.taxonKey.name":"Scientific name","filters.taxonKey.count":"{num, plural, one {scientific name} other {# scientific names}}","filters.taxonKey.description":"The scientific name as it appears in the GBIF backbone taxonomy. These names are normalized to ease search across datasets. It is possible that an originally-provided name might be misinterpreted or unknown. To search the names as provided use the \"Verbatim scientific name\" filter.","filters.taxonKeyGrSciColl.name":"Scientific name","filters.taxonKeyGrSciColl.count":"{num, plural, one {scientific name} other {# scientific names}}","filters.taxonKeyGrSciColl.description":"Filter using the scientific names listed in the collection descriptors provided in the collection's metadata, noting that not all collections include metadata descriptors and the names are often at higher taxonomic ranks such as order or family.","filters.basisOfRecord.name":"Basis of record","filters.basisOfRecord.count":"{num, plural, one {basis of record} other {# bases of records}}","filters.basisOfRecord.isNotNull":"Has a basis of record","filters.basisOfRecord.isNull":"Has no basis of record","filters.basisOfRecord.description":"The nature of the evidence upon which the record is based.","filters.institutionCode.name":"Institution code","filters.institutionCode.count":"{num, plural, one {institution code} other {# institution codes}}","filters.institutionCode.description":"The code (or acronym) for the institution having custody of the object(s) or information referred to in the record.","filters.catalogNumber.name":"Catalogue number","filters.catalogNumber.count":"{num, plural, one { catalogue number } other {# catalogue numbers}}","filters.catalogNumber.description":"The identifier for the record within a catalogue or collection.","filters.mediaType.name":"Media type","filters.mediaType.count":"{num, plural, one {media type} other {# media types}}","filters.mediaType.description":"The types of media accessible for this record.","filters.occurrenceIssue.name":"Issues and flags","filters.occurrenceIssue.count":"{num, plural, one {issue or flag} other {# issues and flags}}","filters.occurrenceIssue.isNotNull":"Has issues","filters.occurrenceIssue.isNull":"Has no issues","filters.occurrenceIssue.description":"The types of issues or flags of potential interest discovered in processing the data.","filters.occurrenceCountry.name":"Country or area","filters.occurrenceCountry.count":"{num, plural, one {country or area} other {# countries or areas}}","filters.occurrenceCountry.description":"The country or territory where the event occurred","filters.grsciCollCountry.description":"Country or territory in the record's address","filters.preparations.name":"Preparations","filters.preparations.count":"{num, plural, one {# preparation} other {# preparations}}","filters.preparations.description":"How the specimen has been prepared (e.g. dried)","filters.publishingCountryCode.name":"Publishing country or area","filters.publishingCountryCode.count":"{num, plural, one {publishing country or area} other {# publishing countries or areas}}","filters.publishingCountryCode.description":"The ISO code for the country or territory in which the data publisher is located","filters.q.name":"Text search","filters.q.count":"{num, plural, one {text string} other {# search strings}}","filters.q.description":"Free text search across several fields","filters.coordinates.name":"Coordinates","filters.elevation.name":"Elevation","filters.elevation.count":"{num, plural, one {elevation filter} other {# elevation filters}}","filters.elevation.description":"The distance above a vertical reference point (usually mean sea level or a geoid) in metres.","filters.license.name":"Licence","filters.license.count":"{num, plural, one {licence} other {# licences}}","filters.license.description":"The legal licence or waiver under which the record is shared.","filters.datasetKey.name":"Dataset","filters.datasetKey.count":"{num, plural, one {dataset} other {# datasets}}","filters.datasetKey.description":"The title of the dataset under which the record is shared.","filters.publisherKey.name":"Publisher","filters.publisherKey.count":"{num, plural, one {publisher} other {# publishers}}","filters.publisherKey.description":"The name of the organization responsible for sharing the dataset in which the record is included.","filters.gbifPublisherKey.name":"GBIF publisher","filters.gbifPublisherKey.count":"{num, plural, one {GBIF publisher} other {# GBIF publishers}}","filters.gbifPublisherKey.description":"The name of the organization responsible for sharing the dataset in which the record is included.","filters.hostingOrganizationKey.name":"Hosting organization","filters.hostingOrganizationKey.count":"{num, plural, one {host} other {# hosts}}","filters.hostingOrganizationKey.description":"The name of the organization hosting the dataset in which the record is published.","filters.country.name":"Country or area","filters.country.count":"{num, plural, one {country or area} other {# countries or areas}}","filters.countriesOfCoverage.name":"Country or area of coverage","filters.countriesOfCoverage.count":"{num, plural, one {country or area of coverage} other {# countries or area of coverage}}","filters.countriesOfCoverage.description":"What countries are covered by the record.","filters.collectionDescriptorCountry.name":"Country or area of coverage","filters.collectionDescriptorCountry.count":"{num, plural, one {country or area of coverage} other {# countries or area of coverage}}","filters.collectionDescriptorCountry.description":"What countries does the collection have specimens from. Notice that not all collections have this information filled.","filters.countriesOfResearcher.name":"Country or area of researcher","filters.countriesOfResearcher.count":"{num, plural, one {country or area of researcher} other {# countries or areas of researchers}}","filters.typeStatus.name":"Type status","filters.typeStatus.count":"{num, plural, one {type status} other {# type statuses}}","filters.typeStatus.isNotNull":"Has a type status","filters.typeStatus.isNull":"The type status","filters.typeStatus.description":"The type designation of a specimen.","filters.year.name":"Year","filters.year.count":"{num, plural, one {year filter} other {# year filters}}","filters.year.description":"The year in which the event occurred.","filters.sampleSizeUnit.name":"Sample size unit","filters.sampleSizeUnit.count":"{num, plural, one {sample size unit} other {# sample size units}}","filters.sampleSizeUnit.description":"The unit of measurement for the \"sample size value\".","filters.coordinateUncertainty.name":"Coordinate uncertainty","filters.coordinateUncertainty.count":"{num, plural, one {Coordinate uncertainty} other {# coordinate uncertainty filters}}","filters.coordinateUncertainty.description":"A measure of the minimum distance in metres from a coordinate within which a locality might be interpreted to be.","filters.depth.name":"Depth","filters.depth.count":"{num, plural, one { depth } other {# depths}}","filters.depth.description":"The distance below a local surface, in metres.","filters.organismQuantity.name":"Organism quantity","filters.organismQuantity.count":"{num, plural, one { organism quantity } other {# organism quantitys}}","filters.organismQuantity.description":"The value for the quantity of organisms, where the type of measurement is given in the \"Organism quantity type\".","filters.sampleSizeValue.name":"Sample size value","filters.sampleSizeValue.count":"{num, plural, one { sample size value } other {# sample size values}}","filters.sampleSizeValue.description":"The value for the size of a sample, where the units of measurement are given in the \"Sample size unit\".","filters.relativeOrganismQuantity.name":"Relative organism quantity","filters.relativeOrganismQuantity.count":"{num, plural, one { relative organism quantity } other {# relative organism quantities}}","filters.relativeOrganismQuantity.description":"The amount of biological material relative to the size of a sample, calculated as organismQuantity per sampleSize when the organismQuantityType and sampleSizeUnit are unambiguous.","filters.month.name":"Month","filters.month.count":"{num, plural, one { month } other {# months}}","filters.month.description":"The integer month in which the event occurred.","filters.continent.name":"Continent","filters.continent.count":"{num, plural, one { continent } other {# continents}}","filters.continent.description":"The name of the continent in which the location occurs. This field is not inferred but only populated if provided by the dataset publisher. Applying this filter may exclude relevant records.","filters.protocol.name":"Publishing protocol","filters.protocol.count":"{num, plural, one { protocol } other {# protocols}}","filters.protocol.description":"The technical protocol through which the dataset is shared.","filters.establishmentMeans.name":"Establishment means","filters.establishmentMeans.count":"{num, plural, one { establishment means } other {# establishment means}}","filters.establishmentMeans.description":"The means by which the organism was introduced to a given place at a given time.","filters.recordedBy.name":"Recorded by","filters.recordedBy.count":"{num, plural, one { recorded by } other {# recorded bys}}","filters.recordedBy.description":"The names of the person, people, groups or organizations responsible for recording the original occurrence.","filters.recordNumber.name":"Record number","filters.recordNumber.count":"{num, plural, one { record number } other {# record numbers}}","filters.recordNumber.description":"An identifier given to the occurrence at the time it was recorded.","filters.collectionCode.name":"Collection code","filters.collectionCode.count":"{num, plural, one { collection code } other {# collection codes}}","filters.collectionCode.description":"What collection code is assigned to the record.","filters.projectId.name":"Project ID","filters.projectId.count":"{num, plural, one { project ID } other {# project IDs}}","filters.projectId.description":"What project ID is associated with the record.","filters.recordedById.name":"Recorded by ID","filters.recordedById.count":"{num, plural, one { recorded by ID } other {# recorded by IDs}}","filters.recordedById.description":"The identifier for the person, people, groups or organizations responsible for recording the original occurrence.","filters.identifiedById.name":"Identified by ID","filters.identifiedById.count":"{num, plural, one { identified by id } other {identified by #}}","filters.identifiedById.description":"The identifier for the person, people, groups or organizations responsible for determining the scientific name of the organism.","filters.occurrenceId.name":"Occurrence id","filters.occurrenceId.count":"{num, plural, one { occurrence ID } other {# occurrence IDs}}","filters.occurrenceId.description":"The unique identifier for the occurrence record.","filters.organismId.name":"Organism id","filters.organismId.count":"{num, plural, one { organism ID } other {# organism IDs}}","filters.organismId.description":"The unique identifier for the organism in the record.","filters.locality.name":"Locality","filters.locality.count":"{num, plural, one { locality } other {# localities}}","filters.locality.description":"The specific part of the description of the place.","filters.waterBody.name":"Water body","filters.waterBody.count":"{num, plural, one { water body } other {# water bodies}}","filters.waterBody.description":"The name of the water body in which the location occurs.","filters.higherGeography.name":"Higher geography","filters.higherGeography.count":"{num, plural, one { water body } other {# higher geography}}","filters.higherGeography.description":"Higher geography in which the record is located. This is not an interpreted field, but the original data as provided by the publisher. Multiple values can be provided.","filters.stateProvince.name":"State province","filters.stateProvince.count":"{num, plural, one { state province } other {# state provinces}}","filters.stateProvince.description":"The name of the next administrative region smaller than country in which the location occurs.","filters.eventId.name":"Event ID","filters.eventId.count":"{num, plural, one { event ID } other {# event IDs}}","filters.eventId.description":"The unique identifier for the event in the record.","filters.eventID.name":"Event ID","filters.eventID.count":"{num, plural, one { event ID } other {# event IDs}}","filters.eventID.description":"The unique identifier for the event in the record.","filters.parentEventId.name":"Parent event ID","filters.parentEventId.count":"{num, plural, one { event ID } other {# event IDs}}","filters.parentEventId.description":"The unique identifier for the Parent Event in the record.","filters.locationID.name":"Location ID","filters.locationID.count":"{num, 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The Mosquito Alert dataset includes occurrence records of adult mosquitoes. The records were collected through Mosquito Alert, a citizen science system for investigating and managing disease-carrying mosquitoes. Each record presented in the database is linked to a photograph submitted by a citizen scientist and validated by entomological experts to determine if it provides evidence of the presence of any of five targeted mosquito vectors of top concern in Europe (i.e. Aedes albopictus, Aedes aegypti, Aedes japonicus, Aedes koreicus, Culex pipiens). The temporal coverage of the database is from 2014 through 2022 and the spatial coverage is worldwide. Most of the records from 2014 to 2020 are from Spain, reflecting the fact that the project was funded by Spanish national and regional funding agencies. Since autumn 2020 the data has expanded to include substantial records from other countries in Europe, particularly the Netherlands, Italy, and Hungary, thanks to a human volunteering network of entomologists coordinated by the AIM-COST Action and to technological developments through the VEO project to increase scalability. Among many possible applications, Mosquito Alert dataset facilitates the development of citizen-based early warning systems for mosquito-borne disease risk. This dataset can be further re-used for modelling vector exposure risk or training machine-learning detection and classification routines on the linked images, to help experts in data validation and build up automated alert systems.

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This data set can reach many entomological (vector) surveillance and management objectives. First, due to its scalability and massive networking capability it can be used as an Early Warning System (EWS) for detection of invasive species across scales, from city to continental scales. At local scales this type of data can help optimise vector control, as citizen inform about nuisance and presence of mosquitoes at almost real time. Mosquito reduction campaigns, may combine top-down strategies of mosquito (larvae) control (undertaken by public health agencies) with bottom-up strategies promoting social action and behavioural change to reduce domestic and peri-domestic breeding sites’ proliferation. Second, if combined with other data sources this data can be used to make risk assessments, like characterisation of critical areas and seasonal variability for disease risk transmission. It can also be used for data augmentation and calibration in mosquito distribution models of seasonal and inter-annual patterns as well as and spatial suitability maps. Third, the associated images contribute to train machine-learning models for image flow optimisation procedures in digital-based EWS and mosquito detection and classification.

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Worldwide dataset, but mostly centered in Europe.

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Public health significance of invasive mosquitoes in Europe. Clinical Microbiology and In- fection 2013 Aug;19(8):685–692. https://www.clinicalmicrobiologyandinfection.com/article/S1198-743X(14)61413-0/fulltext, publisher: Elsevier."},{"identifier":"https://doi.org/10.2807/1560-7917.ES.2016.21.21.30240","text":"Succo T, Leparc-Goffart I, Ferré JB, Roiz D, Broche B, Maquart M, et al. Autochthonous dengue outbreak in Nîmes, South of France, July to September 2015. Euro Surveill 2016 May;21(21). https://doi.org/10.2807/1560-7917.ES.2016.21.21.30240."},{"identifier":"https://www.eurosurveillance.org/content/10.2807/ese.16.09.19805-en","text":"Gjenero-Margan I, Aleraj B, Krajcar D, Lesnikar V, Klobučar A, Pem-Novosel I, et al. Autochthonous dengue fever in Croatia, August- September 2010. Euro Surveill 2011 Mar;16(9). https://www.eurosurveillance.org/content/10.2807/ese.16.09.19805-en."},{"identifier":"https://doi.org/10.1016/j.actatropica.2020.105402","text":"Monge S, García-Ortúzar V, López Hernández B, Lopaz Pérez MÁ, Delacour-Estrella S, Sánchez-Seco MP, et al. Characterization of the first autochthonous dengue outbreak in Spain (August-September 2018). Acta Trop 2020 Feb;205:105402. https://doi.org/10.1016/j.actatropica.2020.105402."},{"identifier":"http://doi.org/10.2807/1560-7917.ES.2020.25.36.2001606","text":"Lazzarini L, Barzon L, Foglia F, Manfrin V, Pacenti M, Pavan G, et al. First autochthonous dengue outbreak in Italy, August 2020. Euro Surveill 2020 Sep;25(36). http://doi.org/10.2807/1560-7917.ES.2020.25.36.2001606."},{"identifier":"https://doi.org/10.1371/journal.pntd.0008159","text":"Caputo B, Russo G, Manica M, Vairo F, Poletti P, Guzzetta G, et al. 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CREAF - Centre de Recerca Ecològica i Aplicacions Forestals; 2022. https://doi.org/10.15470/t5a1os."},{"identifier":"https://www.ebi.ac.uk/biostudies/studies/S-BIAD249","text":"Palmer J, Bartumeus F, Eritja R, Garriga J, Mosquito Alert Image Dataset. CREAF - Centre de Recerca Ecològica i Aplicacions Forestals; 2021. https://www.ebi.ac.uk/biostudies/studies/S-BIAD249."}],"samplingDescription":{"studyExtent":"

There are no limitations in terms of geographic areas from which citizen are allowed to participate, so data can be sent from all over the world. Nevertheless, Mosquito Alert’s main coverage has been in Spain, with increasing coverage in Europe since 2020, mainly in The Netherlands, Italy, and Hungary. The temporal coverage of the dataset is from June 18, 2014 to September 20, 2021.

","sampling":"

There is no pre-set sampling frequency: participants can send as much data as they like wherever and whenever they like or can. Data sampling may be more intense in some periods due to dissemination events (e.g. project appearances in TV, Science Fairs, etc.) but is also naturally modulated by mosquito seasonal prevalence and activity patterns.

","qualityControl":"

The Digital Entomology Network is formed by a number of experts, including the so-called National Supervisors. At each European country participating through the projects AIM-COST and VEO, the National Supervisors serve as national level coordinators and supervisors. In addition, a senior entomologist Super Expert is in charge of the coordination of the whole validation flow and mechanics in the Mosquito Alert system. A manual for the expert validation system is distributed beforehand to the members of the network and published in the Mosquito Alert website [36] with specifications on the criteria for species determination. The taxonomic determination of an observation results in two potential outputs indicating the degree of certainty: confirmed, when taxonomic features can be clearly seen in the picture/s and probable, when only some characteristic features can be observed. The final taxonomic determination and the relative degree of certainty is computed based on expert’s validations in two steps. (1) Selection of most voted category. The selection for the most voted category is a simple majority selection. For example, assume the following three expert validation assessment: \"Probably Ae. albopictus | Definitely Ae. albopictus | Probably Ae. aegypti\". The most voted category is Ae. albopictus with two votes. Note that in this step, the \"Probably\" and \"Definitely\" qualifications given by each expert are ignored. If there is no majority (i.e, every expert chooses a different taxonomic category) the classification result is considered a \"conflict\" and the report is flagged and revised by the super-expert. (2) Certainty value selection. The certainty labels of the most voted taxonomic category are mapped to integer values such that 1 corresponds to \"Probably\" and 2 to \"Definitely\". The final certainty assessment value is given by averaging the values and rounding them to the nearest integer value with a round half down strategy. For the above example, the most voted category is Ae. albopictus where two values are issued (\"Probably\" and \"Definitely\") that results in an average value of 1.5. Finally, after rounding the average to 1 the assessment gives a \"Probable\" Ae. albopictus occurrence. If the final result would be 2, the certainty degree of the occurrence would be labeled as \"Confirmed\". Note that rounding half down strategy implies a conservative approach in the certainty evaluation: if one of the expert expresses doubt, the overall value is decreased. The validation procedure allows an expert to label a report with not sure in case of pictures with insufficient information. Those records are not included in the current dataset, since only confirmed or probable mosquito records are valid occurrences. For each record, the corresponding entomologist experts who reviewed it are cited by name or by a group label (e.g. institution, team name, etc.). The Anonymous expert label is assigned to experts who wish to remain anonymous.

","methodSteps":["

An anonymous citizen scientist observes an adult-mosquito (dead or alive).

","

Within the Mosquito Alert smart-phone application, the citizen scientist answers a small questionnaire with taxonomic and environment-related questions, indicates the location of the observation, attaches one or more photographs (optional), and adds comments (optional).

","

The report is reviewed by members of the Mosquito Alert team to remove anything that appears to be personally identifying information or inappropriate content.

","

Each photograph attached to the report is evaluated independently by three entomologists, and each assigns a label to the report indicating their degree of certainty as to whether the photographs show the target species. A \"not sure\" label is used if an expert is not able to classify a report. A report is flagged if for any reason the report needs further discussion or should be temporarily left out from the public view. The final taxonomic classification comes from averaging the three expert validations (see section Data Validation and Quality Control).

","

The report is released into the public domain after the three entomologists’ validation and reviewed by a senior entomologist who also checks flagged reports. As citizen scientists can try several pictures of the same specimen in one single report, one of the three experts has the responsibility to choose the final image released to the public domain (public map), which is the one published in the GBIF dataset. The selection criteria is to choose the mosquito image that best represents the observation, or the most valid for species determination.

"]},"dataDescriptions":[{"charset":"ASCII","name":"Mosquito Alert webmap","format":"CSV","formatVersion":null,"url":"http://webserver.mosquitoalert.com/"},{"charset":"NA","name":"Mosquito Alert pictures (BioImage Archive)","format":"PNG, JPG","formatVersion":null,"url":"http://www.mosquitoalert.com/mosquito-images-data-base/"},{"charset":"ASCII","name":"Mosquito Alert reports","format":"JSON","formatVersion":null,"url":"https://doi.org/10.5281/zenodo.6235191"}],"citation":{"text":"Mosquito Alert, Escobar A, Južnič-Zonta Ž (2024). Mosquito Alert Dataset. Version 1.15. CREAF - Centre de Recerca Ecològica i Aplicacions Forestals. Occurrence dataset https://doi.org/10.15470/t5a1os accessed via GBIF.org on 2024-11-27."},"license":"http://creativecommons.org/publicdomain/zero/1.0/legalcode","project":{"title":"Mosquito Alert","abstract":"BACKGROUND.\n Vector-borne diseases (VBDs) are infections caused by pathogens transmitted by carrier species (vectors), most of which are arthropods. VBDs are a major global health issue, with 80% of the world’s population at risk of one or more of these diseases [1]. VBDs account for 17% of the global burden of communicable diseases with over 1 billion infections and over 700,000 deaths caused by VBDs annually [1]. Many of these diseases, once limited to tropical and subtropical zones, are now increasingly seen in temperate areas [1, 2]. \n Among VBDs, mosquito-borne diseases (MBDs) account for a large share of cases. In 2017 the World Health Organisation estimated over 347 million MBD cases and over 447,000 deaths caused by MBDs annually [1]. Of the 3,591 known species of mosquitoes (order Diptera; family Culicidae) [3], only a fraction are involved in disease transmission or cause considerable nuisance to human and animal populations. These include invasive species that are spreading throughout Europe due to globalisation and climate change [2, 4]. \n There are five mosquito vectors of primary concern in Europe, four Aedes invasive mosquitoes (AIMs) and the native Culex pipiens (northern house mosquito). The four AIMs established in Europe are Ae. (Stegomyia) aegypti (yellow fever mosquito), Ae. (Stegomyia) albopictus (Asian tiger mosquito), Ae. (Hulecoetomyia) japonicus (Asian bush mosquito) and Ae. (Hulecoetomyia) koreicus (korean bush mosquito) [5]. Their ability to spread into new territories, and their capacity to act as vectors of tropical viral diseases such as dengue, chikungunya, Zika, yellow fever and Japanese encephalitis, make AIMs key vectors of public health relevance [6]. Notably, Ae. albopictus has already caused outbreaks of exotic arboviruses in Europe, i.e. outbreaks of dengue in Croatia, France, Spain and Italy [7, 8, 9, 10], and two of chikungunya in Italy [11]. In Europe, Culex pipiens is considered the principal vector of West Nile virus (WNV) [12, 13] and Usutu virus [14]. Since 2010, the WNV epidemiological pattern in Europe has evolved, with an increasing incidence of human and horse cases after what began with a very low level of endemicity. Several WNV outbreaks have occurred during the last decades and there was a significant peak in incidence in 2018, with 1,503 cases in the European Union [13, 15, 16]. \n Given the absence of effective vaccine solutions for most MBDs [17], vector surveillance is critical and needs to be strengthened and coordinated on a global scale. Currently, no global surveillance system is in place to track the emergence and spread of MBDs [18, 19]. Increased mosquito surveillance is needed for timely detection of changes in abundances and species diversity, providing valuable knowledge to health authorities and enabling swift mosquito control responses and other public health interventions. \n Obtaining field information with traditional mosquito surveillance tools is notoriously costly and time-consuming, and a major drawback of these tools is that they lack scalability. Costs can be significantly reduced by combining citizen science approaches with traditional ones for targeted surveillance [20, 21], and using big data spatial modelling techniques to compute risk maps of vector presence and abundance, human-vector interactions, and disease transmission zones at local or regional scales [22, 23]. Citizen science and the use of digital and networked technologies (Internet, mobile phones) have provided a new dimension to scientific research in the fields of vector ecology, eco-epidemiology, and public health [24, 25]. \n In the context of MBDs, a considerable amount of ongoing citizen science surveillance projects (29 projects operating in 16 countries all over the world, including some with wide geographic coverage) [26] have successfully involved public participation and provided data on mosquito populations. For future improvement, there is a need to continue engaging with stakeholders, researchers, public health agents, industry, and policymakers. \n CONTEXT.\n Mosquito Alert is a citizen science system aimed at investigating and managing disease-carrying mosquitoes. It has been operational since 2014, with most participants initially located in Spain and participation expanding worldwide, particularly in Europe since 2020 [20, 27]. It uses mobile phones and the Internet to bring together citizens, scientists, and public health authorities to fight against MBDs. Mosquito Alert combines authoritative data with citizen science methodologies for data quality assessment and modelling, enabling large-scale estimates of mosquito population dynamics and the human-mosquito interactions through which MBDs are transmitted across a range of scales. \n The data set presented here was collected through the Mosquito Alert mobile phone application. Citizen scientists provide geo-localized reports and images of targeted mosquito species, breeding sites and biting behaviour. Mosquito Alert also includes a module for sending samples to reference research labs in Europe that can be launched when and where considered necessary, allowing these labs to perform vector specialised identification and screening analyses. In addition, the app collects anonymous information on the geographic distribution of participants in order to correct for sampling effort biases [20]. The application also includes a participant scoring and a notification system that provides scientific and educational contents to participants. These features are expected to increase engagement and encourage frequent and extensive participation [28]. \n The five target species that citizen scientists can report are Ae. albopictus, Ae. aegypti, Ae. japonicus, Ae. koreicus, and Cx. pipiens. The targeted Aedes species are relatively easy to identify in photographs, whereas Culex pipiens can be difficult to distinguish from other Culex species. App tutorials and communication with citizen scientists are used to facilitate the identification and reporting of the targeted species. Adult mosquito reports containing photos are validated independently by three expert entomologists from the Digital Entomological Network in a web-based private platform, the digital Entolab. In addition to these species of interest, expert entomologists also identify other species of mosquitoes (not targeted) and even other insect groups. These identifications are also valuable from an educational perspective, as they help citizen scientists understand differences between targeted and non-targeted mosquitoes/insects. Since manual inspection of digital images is not a scalable option, the Mosquito Alert database of expert-validated images has been used to train a deep learning model to find Ae. albopictus [29] and the other target species (work in progress). This artificial intelligence system will not only be a helpful pre-selector for the expert validation process but also an automated classifier giving quick feedback to the app participants, which is expected to contribute to long-term motivation. \n In this dataset we must differentiate two periods: the period 2014-2020 (August) and the period 2020 (September)-2021. During the period 2014-2020 the project was mainly focused in Spain, funded from various national sources (see section Funding), and therefore, most of the reports are from there. During this period the system was looking for two invasive species: Ae. albopictus and Ae. aegypti. This mosquito surveillance tool has so far yielded valuable results. It has served to monitor the spread of Ae. albopictus in Spain [30, 31] and to investigate mosquito species dispersal mechanisms [32]. It was also the source of the first-ever confirmed observation of Ae. japonicus in Spain and it has served as the basis for estimating the Ae. japonicus distribution in northern Spain [33, 34]. Mosquito Alert also provided the first record of Ae. (Fredwardsius) vittatus in northwestern Spain and it has contributed to mosquito biodiversity knowledge more broadly [35]. In addition to all this, Mosquito Alert provides direct links between researchers, public health authorities and the general public, serving as a valuable means for promoting public awareness and education about MBDs. \n From September 2020 to 2021 the project increased the number of targeted mosquito species to the five listed above, and expanded across Europe with the support of European funding (AIM-COST OC-2017-1-22105, CA17108; VEO SC1-BHC-13-2019,874735). These projects have facilitated the required changes to increase the number of targeted species, scale the system at European level, and promote the development of a Digital Entomological Network of experts, boosting the dissemination of activities across Europe to promote data collection and direct interaction with citizen scientists in different countries. In 2020 and 2021, the digital citizen science surveillance through Mosquito Alert was carried out in combination with pan-European harmonised field entomological sampling (AIMSurv campaigns) under the framework of AIM-COST Action.","studyAreaDescription":"The project was initially focused on Spain, although in recent years it’s coverage expanded to Europe and is slowly taking momentum worldwide. At the moment, the Mosquito Alert application is available in 20 languages.","designDescription":"See extense documentation at http://www.mosquitoalert.com/en/publicaciones/","funding":"This work was supported by: 2021-2022 Fair Computational Epidemiology (FACE); Plataforma Temática Interdisciplinar PTI+ Salud Global, Consejo Superior de Investigaciones Científicas (CSIC); Grant No.: N/A | 2020-2025 Human-Mosquito Interaction Project: Host-vector networks, mobility and the socio-ecological context of mosquito-borne disease; European Research Council (ERC); Grant No.: 853271 | 2020-2021 Strengthening Barcelona’s Defenses Against Disease-Vector Mosquitoes: Automatically Calibrated Citizen-Based Surveil- lance, Barcelona Ciència; Ajuntament de Barcelona, Institut de Cultura; Grant No.: BCNPC/00041 | 2020-2024 VEO: Versatile Emerging infectious disease Observatory, H2020 SC1-BHC-13-2019; European Commission (EC); Grant No.: 874735 | 2020-2025 Preparing for vector-borne virus outbreaks in a changing world: a One Health Approach; Dutch National Research Agenda (NWA); Grant No.: NWA/00686468 | 2019-2021 Big Mosquito Bytes: Community-Driven Big Data Intelligence to Fight Mosquito-Borne Disease; Fundació ”La Caixa”, Health Research 2018 “la Caixa” Banking Foundation; Grant No.: HR19-00336 | 2018-2022 Aedes Invasive Mosquitoes (AIM), COST ACTION OC-2017-1-22105; European Cooperation in Science and Technology (COST); Grant No.: CA17108 | 2018 Mosquito Alert: programa para investigar y controlar mosquitos vectores de enfermedades como el Dengue, el Chikungunya y el Zika; Fundació ”La Caixa”; Grant No.: N/A | 2017-2019 Plataforma Integral per al Control de l’Arbovirosis a Catalunya (PICAT); Departament de Salut, Programa PERIS 2016-2020, Generalitat de Catalunya; Grant No.: 00466 | 2016-2018 Ciència ciutadana per a la millora de la gestió i els models predictius de dispersió i distribució real de mosquit tigre a la Província de Girona; Diputació de Salut de Girona (DIPSALUT); Grant No.: N/A | 2016 Nuevas herramientas de participación en ciencia ciudadana: laboratorios de validación y cocreación para AtrapaelTigre.com; Fundación Española para la Ciencia y la Tecnología (FECYT); Grant No.: FCT-15-9515 | 2016-2017 Mosquito Alert: programa para investigar y controlar mosquitos vectores de enfermedades como el Dengue, el Chikungunya y el Zika; Fundació ”La Caixa”; Grant No.: N/A | 2016-2017 Ciència ciutadana per a la millora de la gestió i els models predictius de dispersió i distribució real de mosquit tigre a la Província de Girona; Diputació de Salut de Girona (DIPSALUT); Grant No.: N/A | 2015-2016 Citizens-based early warning systems for invasive species and disease vectors: The case of the Asian Tiger mosquito; Fundació ”La Caixa” and Centre de Recerca Ecològica i Aplicacions Forestals (CREAF); Grant No.: N/A | 2014-2016 Invasión del mosquito tigre en España: Salud pública y cambio global; Ministerio de Economía y Competitividad, Plan Estatal I+D+I; Grant No.: CGL2013-43139-R | 2014 Diseño e implementación de un sistema ciudadano de alerta y seguimiento del mosquito tigre: ciencia en sociedad (Atrapa el Tigre 2.0); Fundación Española para la Ciencia y la Tecnología (FECYT); Grant No.: FCT-13-701955","contacts":[{"firstName":"Aitana","lastName":"Oltra","organization":null,"position":[],"roles":null,"type":"POINT_OF_CONTACT","address":[],"city":null,"postalCode":null,"province":null,"country":null,"homepage":[],"email":[],"phone":[],"userId":[]}],"identifier":"mosquitoalert"},"endpoints":[{"key":"1030899","type":"DWC_ARCHIVE","url":"https://ipt.gbif.es/archive.do?r=mosquitoalert"},{"key":"1030898","type":"EML","url":"https://ipt.gbif.es/eml.do?r=mosquitoalert"}],"identifiers":[{"key":"146963","type":"URL","identifier":"https://ipt.gbif.es/resource?r=mosquitoalert"},{"key":"123320","type":"UUID","identifier":"1fef1ead-3d02-495e-8ff1-6aeb01123408"},{"key":"123228","type":"URL","identifier":"http://ipt.gbif.es/resource?r=mosquitoalert"}],"doi":"10.15470/t5a1os","machineTags":[{"namespace":"citizenScience.gbif.org","name":"status","value":"not_reviewed"},{"namespace":"citizenScience.gbif.org","name":"status","value":"not_reviewed"},{"namespace":"citizenScience.mgrosjean.gbif.org","name":"status","value":"not_reviewed"},{"namespace":"crawler.gbif.org","name":"crawl_attempt","value":"320"}],"gridded":[{"percent":0.7364}]}}},"0-0-0-0-0-0-0-5-0-2":null,"0-0-0":null,"0-0-0-0-0":null,"0-0-0-0-0-0-0":null,"0-0-0-0-0-0-0-5-0":null},"actionData":null,"errors":null}