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            <onlineUrl>https://www.cepave.edu.ar/rrhh/gerardo_anibal_marti/</onlineUrl>
            <userId directory="https://orcid.org/">https://orcid.org/0000-0002-9442-2559</userId>
            <role>principalInvestigator</role>
        </associatedParty>
        <pubDate>
            2025-06-19
        </pubDate>
        <language>eng</language>
        <abstract>
            The dataset is a compilation of Non-American triatomine (Hemiptera: Reduviidae: Triatominae) occurrences to complement the American triatomine information, representing together the most complete and integrated database available to date at a global scale. It was done by researchers from the Triatomine Laboratory (CEPAVE, CONICET-UNLP) and from the National Institute of Parasitic Diseases, Chinese Center for Tropical
Diseases Research. The data corresponds to 16 species of the genera Linschosteus and Triatoma from Africa, Asia and Oceania between the years 1926 and 2022, including verified records with associated geographic coordinates, collection dates, and ecological information. Data were gathered through a systematic review of published literature and colleague-provided data, validated through expert consultation
        </abstract>
        <keywordSet>
            <keyword>Africa Asia Oceania Linshcosteus Triatoma</keyword>
            <keywordThesaurus>GBIF Dataset Type Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_type_2015-07-10.xml</keywordThesaurus>
        </keywordSet>
        <intellectualRights>
            <para>To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the <ulink url="http://creativecommons.org/publicdomain/zero/1.0/legalcode"><citetitle>Public Domain (CC0 1.0)</citetitle></ulink>. Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.</para>
        </intellectualRights>
        <licensed>
            <licenseName>Creative Commons Zero v1.0 Universal</licenseName>
            <url>https://spdx.org/licenses/CC0-1.0.html</url>
            <identifier>CC0-1.0</identifier>
        </licensed>
        <distribution scope="document">
            <online>
                <url function="download">https://ipt.mincyt.gob.ar/archive.do?r=noamericantriatominae</url>
            </online>
        </distribution>
        <coverage>
            <geographicCoverage>
                <geographicDescription>The geographic coverage of the records includes countries and overseas territories on the continents of Africa, Asia, and Oceania</geographicDescription>
                <boundingCoordinates>
                    <westBoundingCoordinate>-28.828</westBoundingCoordinate>
                    <eastBoundingCoordinate>-177.188</eastBoundingCoordinate>
                    <northBoundingCoordinate>58.814</northBoundingCoordinate>
                    <southBoundingCoordinate>-55.379</southBoundingCoordinate>
                </boundingCoordinates>
            </geographicCoverage>
            <temporalCoverage>
                <rangeOfDates>
                    <beginDate>
                        <calendarDate>1926-11-01</calendarDate>
                    </beginDate>
                    <endDate>
                        <calendarDate>2022-04-29</calendarDate>
                    </endDate>
                </rangeOfDates>
            </temporalCoverage>
            <taxonomicCoverage>
                <generalTaxonomicCoverage>Most records were determined at the species level</generalTaxonomicCoverage>
                <taxonomicClassification>
                    <taxonRankName>species</taxonRankName>
                    <taxonRankValue>Linshcosteus</taxonRankValue>
                    <commonName>carnifex</commonName>
                </taxonomicClassification>
                <taxonomicClassification>
                    <taxonRankName>species</taxonRankName>
                    <taxonRankValue>Linshcosteus</taxonRankValue>
                    <commonName>chota</commonName>
                </taxonomicClassification>
                <taxonomicClassification>
                    <taxonRankName>species</taxonRankName>
                    <taxonRankValue>Linshcosteus</taxonRankValue>
                    <commonName>confumus</commonName>
                </taxonomicClassification>
                <taxonomicClassification>
                    <taxonRankName>species</taxonRankName>
                    <taxonRankValue>Linshcosteus</taxonRankValue>
                    <commonName>costalis</commonName>
                </taxonomicClassification>
                <taxonomicClassification>
                    <taxonRankName>species</taxonRankName>
                    <taxonRankValue>Linshcosteus</taxonRankValue>
                    <commonName>kali</commonName>
                </taxonomicClassification>
                <taxonomicClassification>
                    <taxonRankName>species</taxonRankName>
                    <taxonRankValue>Linshcosteus</taxonRankValue>
                    <commonName>karupus</commonName>
                </taxonomicClassification>
                <taxonomicClassification>
                    <taxonRankName>species</taxonRankName>
                    <taxonRankValue>Linshcosteus</taxonRankValue>
                    <commonName>Linshcosteus</commonName>
                </taxonomicClassification>
                <taxonomicClassification>
                    <taxonRankName>species</taxonRankName>
                    <taxonRankValue>Triatoma</taxonRankValue>
                    <commonName>amicitiae</commonName>
                </taxonomicClassification>
                <taxonomicClassification>
                    <taxonRankName>species</taxonRankName>
                    <taxonRankValue>Triatoma</taxonRankValue>
                    <commonName>atrata</commonName>
                </taxonomicClassification>
                <taxonomicClassification>
                    <taxonRankName>species</taxonRankName>
                    <taxonRankValue>Triatoma</taxonRankValue>
                    <commonName>bouvieri</commonName>
                </taxonomicClassification>
                <taxonomicClassification>
                    <taxonRankName>species</taxonRankName>
                    <taxonRankValue>Triatoma</taxonRankValue>
                    <commonName>cavernicola</commonName>
                </taxonomicClassification>
                <taxonomicClassification>
                    <taxonRankName>species</taxonRankName>
                    <taxonRankValue>Triatoma</taxonRankValue>
                    <commonName>leopoldi</commonName>
                </taxonomicClassification>
                <taxonomicClassification>
                    <taxonRankName>species</taxonRankName>
                    <taxonRankValue>Triatoma</taxonRankValue>
                    <commonName>migrans</commonName>
                </taxonomicClassification>
                <taxonomicClassification>
                    <taxonRankName>species</taxonRankName>
                    <taxonRankValue>Triatoma</taxonRankValue>
                    <commonName>picta</commonName>
                </taxonomicClassification>
                <taxonomicClassification>
                    <taxonRankName>species</taxonRankName>
                    <taxonRankValue>Triatoma</taxonRankValue>
                    <commonName>pugasi</commonName>
                </taxonomicClassification>
                <taxonomicClassification>
                    <taxonRankName>species</taxonRankName>
                    <taxonRankValue>Triatoma</taxonRankValue>
                    <commonName>rubrofasciata</commonName>
                </taxonomicClassification>
                <taxonomicClassification>
                    <taxonRankName>species</taxonRankName>
                    <taxonRankValue>Triatoma</taxonRankValue>
                    <commonName>sinica</commonName>
                </taxonomicClassification>
            </taxonomicCoverage>
        </coverage>
        <purpose>This work is the result of an exhaustive review of public information combined with substantial interinstitutional collaboration. This geodatabase may contribute not only to improving knowledge of the biodiversity of the triatomine species outside the Americas, but also to designing improved strategies for health promotion and vector control, with the ability to assess the status and to show the probable impact of Chagas disease management at a global scale.</purpose>
        <introduction>Chagas disease, caused by the protozoan Trypanosoma cruzi (Chagas, 1909) (Kinetoplastida, Trypanosomatidae), is transmitted mainly through the feces of triatomine (Hemiptera: Reduviidae: Triatominae) insect vectors, but may also be transmitted from mother to child, by blood transfusions or some infected organ transplants, and by oral transmission through contaminated food and/or beverages. These multiple routes of transmission make Chagas disease an important public health problem, primarily in the Americas. However, the migratory movements of people infected with the parasite from the Americas to
other continents have contributed to the global spread of Trypanosoma cruzi, raising the need to strengthen entomological surveillance in regions previously considered non-endemic.

Currently, the subfamily Triatominae consists of 156 extant and three fossil species, grouped into ﬁve tribes and 18 genera. Since the publication on American triatomine species by Carcavallo et al., a new, complete and integrated database on American triatomine occurrences has been available. However, since Ryckman &amp; Archbold there has been no integration and updating of information on the distribution of triatomine species outside the Americas. In this context, the main goal of this work is to describe the features of a dataset of Non-American triatomine occurrences (henceforth referred to as the “Non-American dataset”), highlighting the most important updates and inclusions. This Non-American dataset complements the current American triatomine information (henceforth referred to as the “American datasets”), comprising two datasets with more than 35,000 records and available via the Global Biodiversity Information Facility (GBIF) platform.</introduction>
        <acknowledgements>We thank the Argentine GBIF Node for the valuable technical support provided during the data management, standardization, and publication process.</acknowledgements>
        <maintenance>
            <description>
                <para></para>
            </description>
            <maintenanceUpdateFrequency>asNeeded</maintenanceUpdateFrequency>
        </maintenance>
        <contact>
            <individualName>
                <givenName>Soledad</givenName>
                <surName>Ceccarelli</surName>
            </individualName>
            <organizationName>Center for Parasitological and Vector Studies (CEPAVE-CONICET-UNLP-CIC)</organizationName>
            <positionName>Research</positionName>
            <address>
                <deliveryPoint>Boulevard 120 between 60 Avenue and 64 St.</deliveryPoint>
                <city>La Plata</city>
                <administrativeArea>Buenos Aires</administrativeArea>
                <postalCode>1900</postalCode>
                <country>AR</country>
            </address>
            <electronicMailAddress>sceccarelli@cepave.edu.ar</electronicMailAddress>
            <onlineUrl>https://www.cepave.edu.ar/rrhh/soledad_ceccarelli/</onlineUrl>
            <userId directory="https://orcid.org/">https://orcid.org/0000-0002-9790-0157</userId>
        </contact>
        <methods>
            <methodStep>
                <description>
                    <para>Data georeferencing process
To rigorously associate each record to a speciﬁc location in the geographical space, data must have information expressed in geographic coordinates (latitude and longitude). If no geographic coordinates were available, the site name was used together with information on administrative divisions to attain an accurate location using Google Earth. Where only the geographic coordinates and the site name (locality) were available, the corresponding administrative divisions were completed using GeoLoc. In the case of the records having only information at state/province level, the geographic coordinates were not added. The datum (coordinate system and set of reference points used to locate places on Earth) used for all geographic records was WGS84 (World Geodetic System 1984). The ﬁnal dataset was built after data quality control.
Description of the dataset ﬁelds
We compiled all relevant and available information associated with each triatomine species and attached the data to each dataset ﬁeld, including characteristics of the specimens collected and of the sampled sites. To better describe the ﬁelds (based on Darwin Core terms used to systematize the information, they were grouped into the following six categories: (1) identiﬁers (including ﬁelds used to identify each record, e.g. occurrence ID, institution code, language of the resource, associated references, etc.); (2) systematic (including ﬁelds used for systematic information, e.g. scientiﬁc name, scientiﬁc name authorship, taxon rank and taxon remarks); (3) geographical (including ﬁelds with information such as administrative divisions, coordinates, georreference sources, etc.); (4) temporal (including ﬁelds related to the event date such as year, month and day); (5) sampling (including ﬁelds related to the sampling process such as name(s) of specimen collector(s), sampled habitat, sampling protocol and effort, etc.); and (6) individual (ﬁelds related to the total number, sex and life stage of individuals sampled). The following subsections provide some details about some of the abovementioned ﬁelds requiring speciﬁc clariﬁcations.
Systematic ﬁelds
When appropriate, the “taxonRemarks” ﬁeld included notes and/or references about synonyms or formal transferals of the species described in the corresponding record.
Temporal ﬁelds
When a group of specimens’ information corresponded to a certain time period but with speciﬁc dates available, the data were split into different records. If it was not possible to split the data, each record included the original time interval information (in years, month or days) in the “eventDate” ﬁeld (e.g. 2016/2018).
Sampling ﬁelds
The “habitat” ﬁeld refers to the type of habitat where the triatomines were collected, and classiﬁed into three categories: domicile, peridomicile and sylvatic. When speciﬁc habitat information was aggregated, the habitat was expressed as a combination of two or three of those categories (e.g., domicile–peridomicile, domicile–sylvatic, peridomicile–sylvatic or domicile–peridomicile–sylvatic).
For the “SamplingProtocols” ﬁeld, the available information was classiﬁed into two major categories: (i) active search, when the searching involved specialized staff; and (iii) passive collection, when different types of traps (e.g., light traps) were used and/or data came from participative science projects (e.g., iNaturalist).
</para>
                </description>
            </methodStep>
            <sampling>
                <studyExtent>
                    <description>
                        <para>Africa, Asia and Ocenia</para>
                    </description>
                </studyExtent>
                <samplingDescription>
                    <para>Information source types and compilation of triatomine species data
To build the dataset, data for each triatomine species were obtained through a detailed and exhaustive review of information. Non-speciﬁc temporal range limits were set to obtain the greatest possible amount of new data from as many countries as possible. Regarding the published information, several public bibliographic repositories were used online (BioOne, Google Scholar, PLoS, PubMed, Scielo, ScienceDirect, Wiley) and were reviewed using terms such as “Chagas disease”, “Triatominae” plus “Africa”, “Asia” and “Oceania” without language restriction. There was a large amount of data from China between 2016-2018 provided by colleagues (co-authors of this work). The geographic information was part of a public paper but the dataset was unpublished.
</para>
                </samplingDescription>
            </sampling>
            <qualityControl>
                <description>
                    <para>The dataset was subjected to exhaustive quality control. First, each datum was extracted by one person and checked by two other people to ensure accuracy and to verify no duplication of records. Subsequently, data were checked to avoid errors (e.g., typing, georeferencing, incorrect locations, synonyms, errors in spelling of administrative divisions) that might have arisen during compilation or data entry. To correct and remove typographical errors and spelling mistakes in the names of administrative divisions, we used OpenReﬁne software, which helps to detect these types of errors in large datasets. All geographic coordinates were checked using open GIS and Google Earth software to detect georeferenced errors and incorrect locations, ensuring that each point corresponded to a location on the continent and in the correct country. Any outlier coordinates that were geographically distant from the known distribution of a given species were studied to ensure correctness. To detect taxonomic synonym errors, we used the most recent triatomine reviews of currently valid species. If any species name was suspected to be outdated, we consulted current bibliography or requested the expert opinion of colleagues. Finally, we improved the quality of our ﬁnal dataset using the GBIF data validator to identify and address potential issues prior to the dataset publication through the Integrated Publishing Toolkit.</para>
                </description>
            </qualityControl>
        </methods>
    </dataset>
    <additionalMetadata>
        <metadata>
            <gbif>
                <dateStamp>2025-06-06T12:29:02.831+00:00</dateStamp>
                <hierarchyLevel>dataset</hierarchyLevel>
                <citation>Cecarelli S, Vicente M E, Qin L, Zhou X, Wu D, Balsalobre A, Bruno E A, Barboza E, Valente R, Marti G A (2025). Non-American triatomine occurrence data (Reduviidae: Triatominae). Version 1.1. Centro de Estudios Parasitológicos y de Vectores (CEPAVE). Occurrence dataset. https://ipt.mincyt.gob.ar/resource?r=noamericantriatominae&amp;v=1.1</citation>
                <dc:replaces>afc62d53-02ae-4bf9-bebc-19255a3417b1/v1.1.xml</dc:replaces>
            </gbif>
        </metadata>
    </additionalMetadata>
</eml:eml>
