Non-American triatomine occurrence data (Reduviidae: Triatominae)

Occurrence
Dernière version Publié par Centro de Estudios Parasitológicos y de Vectores (CEPAVE) le juin 19, 2025 Centro de Estudios Parasitológicos y de Vectores (CEPAVE)

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Description

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

Enregistrements de données

Les données de cette ressource occurrence ont été publiées sous forme dune Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant quensemble dun ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 396 enregistrements.

Cet IPT archive les données et sert donc de dépôt de données. Les données et métadonnées de la ressource sont disponibles pour téléchargement dans la section téléchargements. Le tableau des versions liste les autres versions de chaque ressource rendues disponibles de façon publique et permet de tracer les modifications apportées à la ressource au fil du temps.

Versions

Le tableau ci-dessous naffiche que les versions publiées de la ressource accessibles publiquement.

Comment citer

Les chercheurs doivent citer cette ressource comme suit:

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&v=1.1

Droits

Les chercheurs doivent respecter la déclaration de droits suivante:

L’éditeur et détenteur des droits de cette ressource est Centro de Estudios Parasitológicos y de Vectores (CEPAVE). En vertu de la loi, léditeur a abandonné ses droits par rapport à ces données et les a dédié au Domaine Public (CC0 1.0). Les utilisateurs peuvent copier, modifier, distribuer et utiliser ces travaux, incluant des utilisations commerciales, sans aucune restriction.

Enregistrement GBIF

Cette ressource a été enregistrée sur le portail GBIF, et possède lUUID GBIF suivante : afc62d53-02ae-4bf9-bebc-19255a3417b1.  Centro de Estudios Parasitológicos y de Vectores (CEPAVE) publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec lapprobation du GBIF Argentina.

Mots-clé

Africa Asia Oceania Linshcosteus Triatoma

Contacts

Soledad Cecarelli
  • Fournisseur De Contenu
  • Fournisseur Des Métadonnées
  • Curateur Des Données
  • Créateur
  • Personne De Contact
  • Chercheur Principal
  • Researcher
Center for Parasitological and Vector Studies (CEPAVE-CONICET-UNLP-CIC)
  • Boulevard 120 between 60 Avenue and 64 St.
1900 La Plata
Buenos Aires
AR
Maria Eugenia Vicente
  • Fournisseur De Contenu
  • Fournisseur Des Métadonnées
  • Créateur
  • CPA
Center for Parasitological and Vector Studies (CEPAVE-CONICET-UNLP-CIC)
  • Boulevard 120 between 60 Avenue and 64 St.
1900 La Plata
Buenos Aires
AR
Liu Qin
  • Fournisseur De Contenu
  • Créateur
  • Researcher
National Institute of Parasitic Diseases
  • 207 Rui Jin Er Road
200025 Shanghai
Shanghai
CN
Xiao-Nong Zhou
  • Fournisseur De Contenu
  • Créateur
  • Profesor
National Institute of Parasitic Diseases
  • 207 Rui Jin Er Road
200025 Shanghai
Shanghai
CN
Di Wu
  • Fournisseur De Contenu
  • Créateur
  • Research
National Institute of Parasitic Diseases
  • 207 Rui Jin Er Road
200025 Shanghai
Shanghai
CN
Agustin Balsalobre
  • Fournisseur De Contenu
  • Fournisseur Des Métadonnées
  • Créateur
  • CPA
Center for Parasitological and Vector Studies (CEPAVE-CONICET-UNLP-CIC)
  • Boulevard 120 between 60 Avenue and 64 St.
1900 La Plata
Buenos Aires
AR
  • +54(0221)4232327/4232140
Emiliano Aldo Bruno
  • Fournisseur De Contenu
  • Créateur
  • Doctoral fellow
Center for Parasitological and Vector Studies (CEPAVE-CONICET-UNLP-CIC)
  • Boulevard 120 between 60 Avenue and 64 St.
1900 La Plata
Buenos Aires
AR
  • +54(0221)4232327/4232140
Emilia Barboza
  • Fournisseur De Contenu
  • Créateur
  • Doctoral fellow
Center for Parasitological and Vector Studies (CEPAVE-CONICET-UNLP-CIC)
  • Boulevard 120 between 60 Avenue and 64 St.
1900 La Plata
Buenos Aires
AR
  • +54(0221)4232327/4232140
Romina Valente
  • Fournisseur De Contenu
  • Créateur
  • Research
Center for Parasitological and Vector Studies (CEPAVE-CONICET-UNLP-CIC)
  • Boulevard 120 between 60 Avenue and 64 St.
1900 La Plata
Buenos Aires
AR
Gerardo Anibal Marti
  • Fournisseur De Contenu
  • Fournisseur Des Métadonnées
  • Créateur
  • Chercheur Principal
  • Research
Center for Parasitological and Vector Studies (CEPAVE-CONICET-UNLP-CIC)
  • Boulevard 120 between 60 Avenue and 64 St.
1900 La Plata
Buenos Aires
AR
Soledad Ceccarelli
  • Personne De Contact
  • Research
Center for Parasitological and Vector Studies (CEPAVE-CONICET-UNLP-CIC)
  • Boulevard 120 between 60 Avenue and 64 St.
1900 La Plata
Buenos Aires
AR
Agustín Balsalobre
  • Publicateur
  • CPA
Center for Parasitological and Vector Studies (CEPAVE-CONICET-UNLP-CIC)
  • Boulevard 120 between 60 Avenue and 64 St.
1900 La Plata
Buenos Aires
AR

Couverture géographique

The geographic coverage of the records includes countries and overseas territories on the continents of Africa, Asia, and Oceania

Enveloppe géographique Sud Ouest [-55,379, -177,188], Nord Est [58,814, -28,828]

Couverture taxonomique

Most records were determined at the species level

Species Linshcosteus (carnifex), Linshcosteus (chota), Linshcosteus (confumus), Linshcosteus (costalis), Linshcosteus (kali), Linshcosteus (karupus), Linshcosteus (Linshcosteus), Triatoma (amicitiae), Triatoma (atrata), Triatoma (bouvieri), Triatoma (cavernicola), Triatoma (leopoldi), Triatoma (migrans), Triatoma (picta), Triatoma (pugasi), Triatoma (rubrofasciata), Triatoma (sinica)

Couverture temporelle

Date de début / Date de fin 1926-11-01 / 2022-04-29

Méthodes déchantillonnage

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.

Etendue de létude Africa, Asia and Ocenia
Contrôle qualité 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.

Description des étapes de la méthode:

  1. 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).

Métadonnées additionnelles

Remerciements
Introduction
Objet
Identifiants alternatifs afc62d53-02ae-4bf9-bebc-19255a3417b1
https://ipt.mincyt.gob.ar/resource?r=noamericantriatominae