Data for: Building an automatic Pollen Monitoring Network (ePIN): Selection of optimal sites by clustering pollen stations

Published: 1 Jul 2019 | Version 1 | DOI: 10.17632/xpy68spwsy.1

Description of this data

These data were originated during 2015 by ZAUM. In the framework of ePIN testnetz project, only the stations managed by ZAUM. They correspond to daily pollen concentrations of a network of 20 Hirst pollen traps across Bavaria (excluding the station DEERLA). The network operated from the end of February until the end of September 2015. All traps were located so that homogeneous monitoring conditions may be achieved. For instance, all stations were built at 12 m a.g.l. eliminating the large variability of the first 10 m layer and eliminating differences between stations in height, all traps were also located at 1.5 m above roof level by a standard tower and at least 2 m from the building edge. Flow rates of the pollen traps were calibrated using the same flowmeter thereby reducing intra-rotameter variability. Drums and microscope slides were processed centrally by a single laboratory under identical conditions. The drums were sent bi-weekly to the 20 monitoring stations. Slides were processed using the standard operating procedure. Attached are the daily pollen concentrations.

In total, 13 pollen types are displayed: Alnus, Ambrosia, Artemisia, Betula, Carpinus, Cupressaceae, Fraxinus, Picea, Pinus, Plantago, Poaceae, Populus, and Urticaceae.

An external Quality Control program of the analysts was performed with a novel method, published in detail by Smith et al. (Smith et al., 2019).

For more details about the locations or the methods, please see the following publication:

Oteros et al., Building an automatic Pollen Monitoring Network (ePIN): Selection of optimal sites by clustering pollen stations.

We aknowledge to the ZAUM team who helped building and running the network: Christine Weil, Ramona Hegedüs, Elke Bartusel, Cordula Ebner v. Eschenbach, Joana Candeias, Azahara Martínez, Danijel Kupresanin, Daniel Fritz, Herr Ertl and Gudrum Pusch.
Special acknowledgement to the pollen analysts: Christine Weil, Athanasios Damialis, Reinhard Wachter, Mª José Velasco-Jiménez, Moisés Martínez-Bracero, Mirjana Špehar, Tatjana Pejak-Sikoparija, Anna Schubert, Paula Castiñeiras-Campos, Orsolya Udvardy, Cristina Orihuela-Gómez, Natasa Camprag-Sabo, José Mª Maya-Manzano, Łukasz Kostecki, Weronica Haratym, Malgorzata Nowak, Gloria Florit-Bosch, Gergely Mányoki, Fátima Aguilera-Padilla, Estefanía Sánchez-Reyes, Dorota Myszkowska, Dina Polašek-Hranilović, Estrella Alfaro-Saiz, Agata Szymanska, Deutscher Polleninformationsdienst (PID) pollen analysts. We are very grateful to the responsibles of each monitoring location performing the maintenance and management of Hirst traps and/or institutional/scientific support.

This study was funded by the Bavarian State Ministry of Health and Care grant G47-G8180.1-2014/5-25 and the Bavarian State Ministry of the Environment and Consumer Protection grant TKP01KPB-69312.

Experiment data files

This data is associated with the following publication:

Building an automatic pollen monitoring network (ePIN): Selection of optimal sites by clustering pollen stations

Published in: Science of The Total Environment

Latest version

  • Version 1


    Published: 2019-07-01

    DOI: 10.17632/xpy68spwsy.1

    Cite this dataset

    Oteros, Jose; Schmidt-Weber, Carsten B.; Buters, Jeroen (2019), “Data for: Building an automatic Pollen Monitoring Network (ePIN): Selection of optimal sites by clustering pollen stations”, Mendeley Data, v1


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Botany, Palynology


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