Non-American triatomine occurrence data (Reduviidae: Triatominae)

Occurrence
最新版本 published by Centro de Estudios Parasitológicos y de Vectores (CEPAVE) on 6月 19, 2025 Centro de Estudios Parasitológicos y de Vectores (CEPAVE)

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說明

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

資料紀錄

此資源出現紀錄的資料已發佈為達爾文核心集檔案(DwC-A),其以一或多組資料表構成分享生物多樣性資料的標準格式。 核心資料表包含 396 筆紀錄。

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版本

以下的表格只顯示可公開存取資源的已發布版本。

如何引用

研究者應依照以下指示引用此資源。:

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

權利

研究者應尊重以下權利聲明。:

此資料的發布者及權利單位為 Centro de Estudios Parasitológicos y de Vectores (CEPAVE)。 To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.

GBIF 註冊

此資源已向GBIF註冊,並指定以下之GBIF UUID: afc62d53-02ae-4bf9-bebc-19255a3417b1。  Centro de Estudios Parasitológicos y de Vectores (CEPAVE) 發佈此資源,並經由GBIF Argentina同意向GBIF註冊成為資料發佈者。

關鍵字

Africa Asia Oceania Linshcosteus Triatoma

聯絡資訊

Soledad Cecarelli
  • 內容提供者
  • 元數據提供者
  • 託管人
  • 出處
  • 連絡人
  • 研究主持人
  • 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
  • 內容提供者
  • 元數據提供者
  • 出處
  • 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
  • 內容提供者
  • 出處
  • Researcher
National Institute of Parasitic Diseases
  • 207 Rui Jin Er Road
200025 Shanghai
Shanghai
CN
Xiao-Nong Zhou
  • 內容提供者
  • 出處
  • Profesor
National Institute of Parasitic Diseases
  • 207 Rui Jin Er Road
200025 Shanghai
Shanghai
CN
Di Wu
  • 內容提供者
  • 出處
  • Research
National Institute of Parasitic Diseases
  • 207 Rui Jin Er Road
200025 Shanghai
Shanghai
CN
Agustin Balsalobre
  • 內容提供者
  • 元數據提供者
  • 出處
  • 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
  • 內容提供者
  • 出處
  • 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
  • 內容提供者
  • 出處
  • 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
  • 內容提供者
  • 出處
  • 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
  • 內容提供者
  • 元數據提供者
  • 出處
  • 研究主持人
  • 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
  • 連絡人
  • 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
  • 發布者
  • 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

地理涵蓋範圍

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

界定座標範圍 緯度南界 經度西界 [-55.379, -177.188], 緯度北界 經度東界 [58.814, -28.828]

分類群涵蓋範圍

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)

時間涵蓋範圍

起始日期 / 結束日期 1926-11-01 / 2022-04-29

取樣方法

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.

研究範圍 Africa, Asia and Ocenia
品質控管 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.

方法步驟描述:

  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).

額外的詮釋資料

致謝
Introduction
目的
替代的識別碼 afc62d53-02ae-4bf9-bebc-19255a3417b1
https://ipt.mincyt.gob.ar/resource?r=noamericantriatominae