Integration of the pollen database PONET into PalDat with new features for light microscopy

Author(s)
Karen Koelzer, Martina Weber, Silvia Ulrich
Abstract

Free access to scientific data, knowledge and technology transfer has become more and more important in science, at universities, governmental institutes, and in our society in general. In an interdisciplinary project initialised by palynologists at the University of Vienna and the Austrian Agency for Health and Food Safety Ltd (AGES), the world’s most comprehensive database PalDat has been expanded by more than 2000 datasets from the PONET database, comprising high resolution light microscopy (LM) micrographs of hydrated pollen. The main aim of this fusion of knowledge was to share digital data in a secure way and to ensure users of various disciplines free access to reliable pollen data. The project was finally completed in 2021. In the course of the expansion, additional data entry fields regarding LM description have been added, and new features, such as a search function for orders and families, have been implemented in the new version 3.4 of PalDat. A global online submission and publication tool for palynological data to PalDat, including review and editorial process, assures easy knowledge transfer and facilitates a continually increasing number of datasets and taxa contributed from scientists all over the world. The free accessible online pollen database PalDat is maintained by members of the Division of Structural and Functional Botany (University of Vienna).

Organisation(s)
Department of Botany and Biodiversity Research
External organisation(s)
AGES - Österreichische Agentur für Gesundheit und Ernährungssicherheit, Österreichische Akademie der Wissenschaften (ÖAW)
Journal
Grana
Volume
62
Pages
221-227
No. of pages
7
ISSN
0017-3134
DOI
https://doi.org/10.1080/00173134.2023.2256328
Publication date
2023
Peer reviewed
Yes
Austrian Fields of Science 2012
106049 Ultrastructure research, 106008 Botany
Keywords
ASJC Scopus subject areas
Ecology, Evolution, Behavior and Systematics, Plant Science
Portal url
https://ucrisportal.univie.ac.at/en/publications/integration-of-the-pollen-database-ponet-into-paldat-with-new-features-for-light-microscopy(803c7754-5dff-4ee2-bb27-6696da2c1291).html