Database and digitization of bees in Thailand

Registros de Dados

Os dados deste recurso de ocorrência foram publicados como um Darwin Core Archive (DwC-A), que é o formato padronizado para compartilhamento de dados de biodiversidade como um conjunto de uma ou mais tabelas de dados. A tabela de dados do núcleo contém 11.461 registros.

Também existem 1 tabelas de dados de extensão. Um registro de extensão fornece informações adicionais sobre um registro do núcleo. O número de registros em cada tabela de dados de extensão é ilustrado abaixo.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versões

A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.

Como citar

Pesquisadores deveriam citar esta obra da seguinte maneira:

Nalinrachatakan P, Chatthanabun N, Thanoosing C, Warrit N (2025). Database and digitization of bees in Thailand. Version 1.26. Chulalongkorn University, Department of Biology. Occurrence dataset. https://cloud.gbif.org/asia/resource?r=bsruthaibee&v=1.26

Direitos

Pesquisadores devem respeitar a seguinte declaração de direitos:

O editor e o detentor dos direitos deste trabalho é Chulalongkorn University, Department of Biology. This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC 4.0) License.

GBIF Registration

Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: cb0ab16c-7589-4a44-80d0-30bae8c952ef.  Chulalongkorn University, Department of Biology publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por Participant Node Managers Committee.

Palavras-chave

Occurrence; Specimen

Contatos

Cobertura Geográfica

Thailand

Cobertura Taxonômica

All bees (Apoidea: Anthophila) specimens collecting in Thailand were identified to their lowest taxonomic rank possible.

Cobertura Temporal

Dados Sobre o Projeto

Bees from Southeast Asia are poorly represented in public species occurrence databases like GBIF. The Chulalongkorn University Natural History Museum (CUNHM) in Thailand holds a collection of more than 12,000 bee specimens, of which at least 6,700 have digital records that are available. The specimens include bees from four families across more than 500 localities in each of the country's 77 provinces. The purpose of this project is to mobilize at least 8,000 Thai bee specimen records deposited at CUNHM and publish them to GBIF. Activities will include photographing specimens, assigning QR codes, transcribing labels, formatting transcription of the data to enable publication in GBIF.org, mapping species distributions, and holding a workshop to showcase and demonstrate the use of the database. For long-term sustainability of the project, we aim to establish an accurate and reliable digital bee database for the global audience and researchers whose interest are in pollination biology, conservation, bee taxonomy, and biodiversity informatics in Southeast Asia, a lesser-known area of bee diversity. Research fields in climate change, invasive species, and ecology of pollinators will benefit from this work, since information from tropical Asia is often limited and sometimes inaccessible. Beside producing and publishing the database to GBIF, this effort can provide a template for hosting other biodiversity information hosted and stored in Thailand by the National Science and Technology Development Agency (NSTDA), a partner that is providing matching funds. The processes and methods of digitization of bee records will be disseminated and shared with the country's other research collections, universities, and institutions through workshop and university lectures. Through these outreach activities, we hope to familiarize and educate audiences on how to utilize the data efficiently—both through the database and GBIF—and to persuade them the importance of pollinators to the public.

O pessoal envolvido no projeto:

Métodos de Amostragem

Most of bees in CUNHM collection were preserved as dry specimens, as a results of field collection using aerial net. Some specimens were collected by other insect collecting methods (e.g. blue-vane trap, malaise trap).

Descrição dos passos do método:

1. In order to obtain information from specimens, the processes can be divided into two steps. First, specimens identification: all bees specimens were identified under stereomicroscopes by our resident bee taxonomists. The identification were carefully made to the lowest taxonomic rank as possible and also compare to the credited references such as research publications (mostly to seek out the revision or the original descriptions), webtools (e.g. Discoverlife, iNaturalist, buggide, idtools, and GBIF), and museum data portal such as data.nhm.ac.uk for type specimens examinations. Second,: the original label records were extracted by our technical staff and initially placed into spreadsheet, especially for old and damaged labels with obscure handwriting records (all label photos were digitized as backup). The extracted data were then filled out on their relevance DwC terms in the spreadsheet. This spreadsheet will be used for data validation, especially for spelling and locality information, which were later subjected to data cleaning using Microsoft Excel 2019 and OpenRefine v.3.4.
2. For the photo digitization processes, four standard microphotograph were produced: the original label, face, dorsal, and lateral habitus. Most of the specimens digitization were made on Canon 7D markII mounted on the Zeiss Stemi 508 stereomicroscope, whereas others were conducted on other configurations but in similar concept.

Dados de Coleção

Metadados Adicionais