Database and digitization of bees in Thailand

Enregistrements de données

Les données de cette ressource occurrence ont été publiées sous forme d'une Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant qu'ensemble d'un ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 11 461 enregistrements.

1 tableurs de données d'extension existent également. Un enregistrement d'extension fournit des informations supplémentaires sur un enregistrement du cœur de standard (core). Le nombre d'enregistrements dans chaque tableur de données d'extension est illustré ci-dessous.

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 n'affiche que les versions publiées de la ressource accessibles publiquement.

Comment citer

Les chercheurs doivent citer cette ressource comme suit:

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

Droits

Les chercheurs doivent respecter la déclaration de droits suivante:

L’éditeur et détenteur des droits de cette ressource est Chulalongkorn University, Department of Biology. Ce travail est sous licence Creative Commons Attribution Non Commercial (CC-BY-NC) 4.0.

Enregistrement GBIF

Cette ressource a été enregistrée sur le portail GBIF, et possède l'UUID GBIF suivante : cb0ab16c-7589-4a44-80d0-30bae8c952ef.  Chulalongkorn University, Department of Biology publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec l'approbation du Participant Node Managers Committee.

Mots-clé

Occurrence; Specimen

Contacts

Couverture géographique

Thailand

Couverture taxonomique

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

Couverture temporelle

Données sur le projet

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.

Les personnes impliquées dans le projet:

Méthodes d'échantillonnage

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).

Description des étapes de la méthode:

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.

Données de collection

Métadonnées additionnelles