Database and digitization of bees in Thailand

データ レコード

この オカレンス（観察データと標本) リソース内のデータは、1 つまたは複数のデータ テーブルとして生物多様性データを共有するための標準化された形式であるダーウィン コア アーカイブ (DwC-A) として公開されています。 コア データ テーブルには、11,461 レコードが含まれています。

拡張データ テーブルは1 件存在しています。拡張レコードは、コアのレコードについての追加情報を提供するものです。 各拡張データ テーブル内のレコード数を以下に示します。

この IPT はデータをアーカイブし、データ リポジトリとして機能します。データとリソースのメタデータは、 ダウンロード セクションからダウンロードできます。 バージョン テーブルから公開可能な他のバージョンを閲覧でき、リソースに加えられた変更を知ることができます。

バージョン

次の表は、公にアクセス可能な公開バージョンのリソースのみ表示しています。

引用方法

研究者はこの研究内容を以下のように引用する必要があります。:

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

権利

研究者は権利に関する下記ステートメントを尊重する必要があります。:

パブリッシャーとライセンス保持者権利者は Chulalongkorn University, Department of Biology。 This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC 4.0) License.

GBIF登録

このリソースをはGBIF と登録されており GBIF UUID: cb0ab16c-7589-4a44-80d0-30bae8c952efが割り当てられています。   Participant Node Managers Committee によって承認されたデータ パブリッシャーとして GBIF に登録されているChulalongkorn University, Department of Biology が、このリソースをパブリッシュしました。

キーワード

Occurrence; Specimen

連絡先

地理的範囲

Thailand

生物分類学的範囲

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

時間的範囲

プロジェクトデータ

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.

プロジェクトに携わる要員:

収集方法

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).

Method step description:

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.

コレクションデータ

追加のメタデータ