Dataset Information

Contributions to the biodiversity of Vietnam - Results of VIETBIO inventory work and field training in Cuc Phuong National Park.

ABSTRACT: VIETBIO [Innovative approaches to biodiversity discovery and characterisation in Vietnam] is a bilateral German-Vietnamese research and capacity building project focusing on the development and transfer of new methods and technology towards an integrated biodiversity discovery and monitoring system for Vietnam. Dedicated field training and testing of innovative methodologies were undertaken in Cuc Phuong National Park as part and with support of the project, which led to the new biodiversity data and records made available in this article collection. VIETBIO is a collaboration between the Museum für Naturkunde Berlin - Leibniz Institute for Evolution and Biodiversity Science (MfN), the Botanic Garden and Botanical Museum, Freie Universität Berlin (BGBM) and the Vietnam National Museum of Nature (VNMN), the Institute of Ecology and Biological Resources (IEBR), the Southern Institute of Ecology (SIE), as well as the Institute of Tropical Biology (ITB); all Vietnamese institutions belong to the Vietnam Academy of Science and Technology (VAST). The article collection "VIETBIO" (https://doi.org/10.3897/bdj.coll.63) reports original results of recent biodiversity recording and survey work undertaken in Cuc Phuong National Park, northern Vietnam, under the framework of the VIETBIO project. The collection consist of this "main" cover paper - characterising the study area, the general project approaches and activities, while also giving an extensive overview on previous studies from this area - followed by individual papers for higher taxa as studied during the project. The main purpose is to make primary biodiversity records openly available, including several new and interesting findings for this biodiversity-rich conservation area. All individual data papers with their respective primary records are expected to provide useful baselines for further taxonomic, phylogenetic, ecological and conservation-related studies on the respective taxa and, thus, will be maintained as separate datasets, including separate GUIDs also for further updating.

SUBMITTER: Duwe VK

PROVIDER: S-EPMC8752577 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Contributions to the biodiversity of Vietnam - Results of VIETBIO inventory work and field training in Cuc Phuong National Park.

Duwe Virginia K VK Vu Lien Van LV von Rintelen Thomas T von Raab-Straube Eckhard E Schmidt Stefan S Nguyen Sinh Van SV Vu Thong Dinh TD Do Tu Van TV Luu Truong Hong TH Truong Vuong Ba VB Di Vincenzo Vanessa V Schmidt Olga O Glöckler Falko F Jahn Regine R Lücking Robert R von Oheimb Katharina C M KCM von Oheimb Parm Viktor PV Heinze Sandra S Abarca Nelida N Bollendorff Sarah S Borsch Thomas T Buenaventura Eliana E Dang Huong Thi Thu HTT Dinh Thuy Dieu TD Do Hai Thi HT Ehlers Sarah S Freyhof Jörg J Hayden Sofía S Hein Peter P Hoang Tuan Anh TA Hoang Duc Minh DM Hoang Son Nghia SN Kürschner Harald H Kusber Wolf-Henning WH Le Han Ngoc HN Le Trang Quynh TQ Linde Mattes M Mey Wolfram W Nguyen Hiep Duc HD Nguyen Man Thi MT Nguyen Minh Trung MT Nguyen Dat Van DV Nguyen Tu Van TV Nguyen Vu Dang Hoang VDH Nguyen Dat Quoc DQ Ohl Michael M Parolly Gerald G Pham Tan Nhat TN Pham Phu Van PV Rabe Katharina K Schurian Bernhard B Skibbe Oliver O Sulikowska-Drozd Anna A To Quang Van QV Truong Tam Quang TQ Zimmermann Jonas J Häuser Christoph L CL

Biodiversity data journal 20220104

VIETBIO [Innovative approaches to biodiversity discovery and characterisation in Vietnam] is a bilateral German-Vietnamese research and capacity building project focusing on the development and transfer of new methods and technology towards an integrated biodiversity discovery and monitoring system for Vietnam. Dedicated field training and testing of innovative methodologies were undertaken in Cuc Phuong National Park as part and with support of the project, which led to the new biodiversity dat ...[more]

PMID: 35068979

Similar Datasets

Project description:The increasing growth of literature in biodiversity presents challenges to users who need to discover pertinent information in an efficient and timely manner. In response, text mining techniques offer solutions by facilitating the automated discovery of knowledge from large textual data. An important step in text mining is the recognition of concepts via their linguistic realisation, i.e., terms. However, a given concept may be referred to in text using various synonyms or term variants, making search systems likely to overlook documents mentioning less known variants, which are albeit relevant to a query term. Domain-specific terminological resources, which include term variants, synonyms and related terms, are thus important in supporting semantic search over large textual archives. This article describes the use of text mining methods for the automatic construction of a large-scale biodiversity term inventory. The inventory consists of names of species, amongst which naming variations are prevalent. We apply a number of distributional semantic techniques on all of the titles in the Biodiversity Heritage Library, to compute semantic similarity between species names and support the automated construction of the resource. With the construction of our biodiversity term inventory, we demonstrate that distributional semantic models are able to identify semantically similar names that are not yet recorded in existing taxonomies. Such methods can thus be used to update existing taxonomies semi-automatically by deriving semantically related taxonomic names from a text corpus and allowing expert curators to validate them. We also evaluate our inventory as a means to improve search by facilitating automatic query expansion. Specifically, we developed a visual search interface that suggests semantically related species names, which are available in our inventory but not always in other repositories, to incorporate into the search query. An assessment of the interface by domain experts reveals that our query expansion based on related names is useful for increasing the number of relevant documents retrieved. Its exploitation can benefit both users and developers of search engines and text mining applications.

Dataset Information

Contributions to the biodiversity of Vietnam - Results of VIETBIO inventory work and field training in Cuc Phuong National Park.

Publications

Contributions to the biodiversity of Vietnam - Results of VIETBIO inventory work and field training in Cuc Phuong National Park.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets