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Abstract Detail

Biodiversity Informatics & Herbarium Digitization

Reinert, Teagan [1], Bacon, Karen [2].

Using databased herbarium specimens to gather leaf trait data of the Coniferae.

The significance of remote data acquisition has become increasingly clear in the past year as COVID-19 has caused museums and herbaria to close to researchers and visitors. In the past, visiting collections like herbaria to obtain data has been the standard for research in the natural sciences. Cost could often be a prohibiting factor in visiting collections, and as most countries are restricting travel currently, remote scientific data gathering is becoming more and more viable and vital. Ease of access and quality of images in herbarium databases are incredibly important, therefore, to maximise their use. Using several online herbarium databases, leaf trait data for almost all species of the Coniferae was gathered without visiting herbaria in person showcasing the effectiveness of online data acquisition. During this data gathering, databases were compared to determine which features allowed easiest access to relevant search results for leaf trait analysis. Online data acquisition using databased herbarium images is useful and important for future scientific research.

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1 - National University of Ireland, Galway, Botany Plant Science, Lab Room 304, Martin Ryan Institute, Galway, Co Galway, H91CY93, Ireland
2 - National University of Ireland, Galway, Lab Room 304, Martin Ryan Institute, Galway, Co Galway, H91CY93, Ireland


Presentation Type: Poster
Session: P1, Biodiversity Informatics & Herbarium Digitization Posters
Location: Virtual/Virtual
Date: Monday, July 19th, 2021
Time: 5:00 PM(EDT)
Number: P1BI001
Abstract ID:111
Candidate for Awards:None

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