Database and digitization of bees in Thailand

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 11.461 registros.

también existen 1 tablas de datos de extensiones. Un registro en una extensión provee información adicional sobre un registro en el core. El número de registros en cada tabla de datos de la extensión se ilustra a continuación.

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:

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

Derechos

Los usuarios deben respetar los siguientes derechos de uso:

El publicador y propietario de los derechos de este trabajo es Chulalongkorn University, Department of Biology. Esta obra está bajo una licencia Creative Commons de Atribución/Reconocimiento-NoComercial (CC-BY-NC 4.0).

Registro GBIF

Este recurso ha sido registrado en GBIF con el siguiente UUID: cb0ab16c-7589-4a44-80d0-30bae8c952ef.  Chulalongkorn University, Department of Biology publica este recurso y está registrado en GBIF como un publicador de datos avalado por Participant Node Managers Committee.

Palabras clave

Occurrence; Specimen

Contactos

Cobertura geográfica

Thailand

Cobertura taxonómica

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

Cobertura temporal

Datos del proyecto

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.

Personas asociadas al proyecto:

Métodos de muestreo

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).

Descripción de la metodología paso a paso:

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.

Datos de la colección

Metadatos adicionales