Non-American triatomine occurrence data (Reduviidae: Triatominae)

Registros

Los datos en este recurso de registros biológicos han sido publicados como Archivo Darwin Core(DwC-A), el cual es un formato estándar para compartir datos de biodiversidad como un conjunto de una o más tablas de datos. La tabla de datos del core contiene 396 registros.

Este IPT archiva los datos y, por lo tanto, sirve como repositorio de datos. Los datos y los metadatos del recurso están disponibles para su descarga en la sección descargas. La tabla versiones enumera otras versiones del recurso que se han puesto a disposición del público y permite seguir los cambios realizados en el recurso a lo largo del tiempo.

Versiones

La siguiente tabla muestra sólo las versiones publicadas del recurso que son de acceso público.

¿Cómo referenciar?

Los usuarios deben citar este trabajo de la siguiente manera:

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

Derechos

Los usuarios deben respetar los siguientes derechos de uso:

El publicador y propietario de los derechos de este trabajo es Centro de Estudios Parasitológicos y de Vectores (CEPAVE). En la medida de lo posible según la ley, el publicador ha renunciado a todos los derechos sobre estos datos y los ha dedicado al Dominio público (CC0 1.0). Los usuarios pueden copiar, modificar, distribuir y utilizar la obra, incluso con fines comerciales, sin restricciones.

Registro GBIF

Este recurso ha sido registrado en GBIF con el siguiente UUID: afc62d53-02ae-4bf9-bebc-19255a3417b1.  Centro de Estudios Parasitológicos y de Vectores (CEPAVE) publica este recurso y está registrado en GBIF como un publicador de datos avalado por GBIF Argentina.

Palabras clave

Africa Asia Oceania Linshcosteus Triatoma

Contactos

Cobertura geográfica

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

Cobertura taxonómica

Most records were determined at the species level

Cobertura temporal

Métodos de muestreo

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.

Descripción de la metodología paso a paso:

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).

Metadatos adicionales