Vascular plant collection

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、4,791 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。:

Herbarium of the National Museum of Natural History, BAS (2025). Vascular plant collection. Version 1.48. National Museum of Natural History, Bulgarian Academy of Sciences. Occurrence dataset. https://cloud.gbif.org/eca/resource?r=nmnhs_botany_collection&v=1.48

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 National Museum of Natural History, Bulgarian Academy of Sciences。 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: 663e0ec0-7243-48bc-a0dd-55d1ed2224e7が割り当てられています。   GBIF Bulgaria 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National Museum of Natural History, Bulgarian Academy of Sciences が、このリソースをパブリッシュしました。

キーワード

Metadata; Specimen; vascular plant; herbarium; Bulgaria

連絡先

地理的範囲

Bulgaria, the Balkan peninsula

生物分類学的範囲

Vascular plants

プロジェクトデータ

The Distributed System of Scientific Collections (DiSSCo) is a new world-class Research Infrastructure (RI) for natural science collections. The DiSSCo RI works for the digital unification of all European natural science assets under common curation and access policies and practices. These aim to make the data easily Findable, more Accessible, Interoperable and Reusable (FAIR). As such, DiSSCo enables the transformation of a fragmented landscape of the crucial natural science collections into an integrated knowledge base that provides interconnected hard evidence on the natural world. DiSSCo represents the largest ever formal agreement between natural history museums, botanical gardens and collection-holding universities in the world. Mission Our mission is to bring up the major Bulgarian biodiversity collections into the Digital Era. As a part of the pan-European DiSSCo RI, we adhere at its mission, which is entirely valid for the present project. It is “to mobilise, unify and deliver biodiversity information at the scale, form and precision required by scientific communities; transforming a fragmented landscape into a coherent and responsive research infrastructure.” Taking into account the specificities of the conceptual and technological level of our collections, we formulate the following mission of DiSSCo- BG: to bring up the major Bulgarian biodiversity collections into the Digital Era. General objective Upgrade the technological, digital and human capacity level of the major biodiversity and geodiversity collections in Bulgaria maintained by IBER-BAS and NMNHS-BAS in order to increase the capacity of collections and collection-based research to meet the needs of the society of modern biodiversity science in line with the existing international standards and to support the efficient Bulgarian participation in the development of the pan-European RI DiSSCo.

プロジェクトに携わる要員:

収集方法

Most specimens were collected during floristic field studies of the corresponding collectors. Some floristic studies, e.g. those of [prof. Dimitar Dimitrov](https://www.nmnhs.com/dimitrov-dimitar-en.html), were done as part of the tasks associated with Environmental Impact Assessments. Some specimens were collected for identification vegetation surveys using phytosociological plots (relevés). Such are plots are coded as AAYY## (where AA stands for the abbreviation of the author, YY is the year of sampling, and ## is the successive plot number) and size is 16 to 100 sq.m. For example, SP1801 stands for the first plots sampled in 2018 by Salza Palpurina. Some specimens come from a [project for sampling kurgans (burial mounds) in Bulgaria](http://www.iber.bas.bg/?q=en/node/701), which has used nested sampling. In such cases, the code is as follows: kurgan_[ID]_[exposition: N, E, S, W]_[size:1, 25], or kurgan_ID_all, which means that the plan was surveyed out of the nested plots.

Method step description:

1. Specimens received their first-ever catalogue number upon entering the information on their labels into the database, as the collection had not been catalogued prior to digitization. For the vascular plant collection, we adhere to a standardized format: BG-NMNHS-BOT-############. Some specimens received an additional alternative catalogue number which contains the same number but in a different format: BNHM-############ to match numbers in the corresponding publication.
2. The information found on the labels, such as taxon name, locality, date of collection, and the names of collectors and determiners, was transcribed and translated into English before being entered into the database. Names of localities were transliterated using the Bulgarian Law for Transliteration. Names of administrative regions follow the EKATTEs.
3. For the transcription of labels, we used two successive approaches: (1) In 2023, specimens were first imaged using mobile phone cameras (initial low-quality images), then information from the images was transcribed and entered, and the initial low-quality images were temporarily linked to their corresponding database records for quality assurance purposes and for matching the newly printed labels. (2) Since Jan 2024, we have adopted the following approach: first, creating a new record in the database to obtain a unique catalogue number, then writing this catalogue number on the specimen's voucher, and finally, transcribing information directly from the specimen into the database.
4. The transcribed information, along with the assigned catalogue number, was subsequently used to generate new labels. If the specimen was revised in the meantime, the label would reflect the updated determination. Then labels are printed and mounted, and the voucher is imaged with all attributes (printed labels, color checker and a scale).
5. Localities without GPS coordinates (mostly from before 2014) were georeferenced post hoc, typically using point locations with associated uncertainty reported in meters (dwc:coordinateUncertaintyInMeters). Georeferencing was done on an as-needed basis or when locality information was readily available, using sources such as BG Mountains online map (https://kade.si/) for most localities in Bulgaria—which includes historical map layers dating back to the 1930s with old Turkish toponyms—as well as mapy.cz and Google Earth for localities outside Bulgaria.

コレクションデータ

追加のメタデータ