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BALTRAD_VPTS - Vertical profiles of biological targets derived from European weather radars

Authors: Desmet, Peter; Shamoun-Baranes, Judy; Kranstauber, Bart; Dokter, Adriaan M.; Weisshaupt, Nadja; Schmid, Baptiste; Bauer, Silke; +8 Authors

BALTRAD_VPTS - Vertical profiles of biological targets derived from European weather radars

Abstract

BALTRAD_VPTS - Vertical profiles of biological targets derived from European weather radars is a vertical profile time series dataset published by the Research Institute for Nature and Forest (INBO). It contains animal movement data derived from 151 European weather radars in 18 countries, with varying coverage from 2012 to 2023. These data were created by processing weather radar data - provided by the Operational Programme for the Exchange of Weather Radar Information (OPERA) - with methods optimized for extracting bird targets. The resulting data are vertical profile time series (VPTS), containing the density, speed and direction of biological targets within a weather radar (radar) volume, grouped into altitude bins (height) and measured over time (datetime). The data are also available in the Aloft bucket. See Desmet et al. (2025, https://doi.org/10.1038/s41597-025-04641-5) for a more detailed description of this dataset. Files VPTS data in this deposit are organized per country (.tgz file), radar (directory), year (directory) and month (.csv.gz file). Fields in the data follow the VPTS CSV format and are described in vpts-csv-table-schema.json. An overview of what data are available is provided in coverage.csv. Radar metadata can be found at https://aloftdata.eu/radars/. coverage.csv: coverage of the VPTS data, representing the number of unique hours, heights, source files and records for each radar and date combination. vpts-csv-table-schema.json: technical description of the fields in the VPTS data. be.tgz: VPTS data from 2 radars in Belgium. ch.tgz: VPTS data from 5 radars in Switzerland. cz.tgz: VPTS data from 2 radars in Czechia. de.tgz: VPTS data from 20 radars in Germany. dk.tgz: VPTS data from 5 radars in Denmark. ee.tgz: VPTS data from 2 radars in Estonia. es.tgz: VPTS data from 15 radars in Spain. fi.tgz: VPTS data from 13 radars in Finland. fr.tgz: VPTS data from 26 radars in France. hr.tgz: VPTS data from 7 radars in Croatia. il.tgz: VPTS data from 1 radar in Israel. nl.tgz: VPTS data from 3 radars in the Netherlands. no.tgz: VPTS data from 11 radars in Norway. pl.tgz: VPTS data from 8 radars in Poland. pt.tgz: VPTS data from 3 radars in Portugal. se.tgz: VPTS data from 22 radars in Sweden. si.tgz: VPTS data from 2 radars in Slovenia. sk.tgz: VPTS data from 4 radars in Slovakia. Acknowledgements This dataset was processed using infrastructure provided by the University of Amsterdam, SURF Cooperative, Ghent University and the Research Institute for Nature and Forest (INBO). It was mainly supported by the GloBAM project, funded through the 2017-18 Belmont Forum and BiodivERsA joint call for research proposals under the BiodivScen ERA-Net COFUND programme.

This version adds a coverage.csv file.

Country
Netherlands
Keywords

Europe, weather radar, birds, OPERA, aeroecology, animal movement

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average