Evidence map›Paper›PMID 40021718›Full record

ArticleScientific data2025

Biological data derived from European weather radars.

Peter Desmet, Judy Shamoun-Baranes, Bart Kranstauber, Adriaan M Dokter, Nadja Weisshaupt, Baptiste Schmid, Silke Bauer, Günther Haase, Bart Hoekstra, Pieter Huybrechts and 5 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Peter DesmetResearch Institute for Nature and Forest (INBO), Brussels, Belgium. peter.desmet@inbo.be.ORCID http://orcid.org/0000-0002-8442-8025
Judy Shamoun-BaranesInstitute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-1652-7646
Bart KranstauberInstitute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0001-8303-780X
Adriaan M DokterCornell Lab of Ornithology, Cornell University, Ithaca, USA.ORCID http://orcid.org/0000-0001-6573-066X
Nadja WeisshauptFinnish Meteorological Institute (FMI), Helsinki, Finland.ORCID http://orcid.org/0000-0003-4510-4121
Baptiste SchmidSwiss Ornithological Institute, Sempach, Switzerland.ORCID http://orcid.org/0000-0002-7736-7527
Silke BauerInstitute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-0844-164X
Günther HaaseSwedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden.ORCID http://orcid.org/0000-0001-7753-6055
Bart HoekstraInstitute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-7085-3805
Pieter HuybrechtsResearch Institute for Nature and Forest (INBO), Brussels, Belgium.ORCID http://orcid.org/0000-0002-6658-6062
Hidde LeijnseRoyal Netherlands Meteorological Institute (KNMI), De Bilt, The Netherlands.ORCID http://orcid.org/0000-0001-7835-4480
Nicolas NoéResearch Institute for Nature and Forest (INBO), Brussels, Belgium.ORCID http://orcid.org/0000-0002-9503-4750
Stijn Van HoeyResearch Institute for Nature and Forest (INBO), Brussels, Belgium.ORCID http://orcid.org/0000-0001-6413-3185
Berend WijersInstitute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0003-3208-3114
Cecilia NilssonDepartment of Biology, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0001-8957-4411

Funding

Academy of Finland (Suomen Akatemia) aka 326315Academy of Finland (Suomen Akatemia) aka 359864EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 101003553EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 844360European Cooperation in Science and Technology (COST) ES1305European Space Agency (ESA) FlysafeFederaal Wetenschapsbeleid (Belgian Federal Science Policy Office) BelSPO BR/185/A1/GloBAM-BEFederaal Wetenschapsbeleid (Belgian Federal Science Policy Office) BelSPO RT/24/HiRADFederaal Wetenschapsbeleid (Belgian Federal Science Policy Office) BR/185/A1/GloBAM-BEFederaal Wetenschapsbeleid (Belgian Federal Science Policy Office) CROWFederaal Wetenschapsbeleid (Belgian Federal Science Policy Office) RT/24/HiRADFonds Wetenschappelijk Onderzoek (Research Foundation Flanders) LifeWatchNational Science Foundation (NSF) NSF 1927743Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) 17083Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) LifeWatchNederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) NWO E10008Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) NWO EP.1512.22.003Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) SNF 31BD30_184120Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) SNF 31BD30_216840Svenska Forskningsrådet Formas (Swedish Research Council Formas) 2021-01622
6 · The paper itself

Abstract

Weather radars detect more than weather, they also continuously register the movements of billions of animals aloft in the lower atmosphere. This makes archived, unfiltered weather radar data a goldmine for biological monitoring purposes, providing coverage of the aerial habitat in a way no other method can. Here we present two datasets of biological data extracted from European weather radar data, obtained through a collaboration with the Operational Programme for the Exchange of Weather Radar Information (OPERA) and three national meteorological services. The datasets were created by processing weather radar data with methods optimized for extracting bird targets, resulting in vertical profiles of biological targets. The datasets collectively cover 141 radar stations in 18 countries, from 2008 to 2023. Data quality and coverage differs between years, countries, and radar stations, so care must be taken when evaluating data for each specific use case. Despite these challenges the datasets are currently the most comprehensive of their kind in Europe and open new avenues in understanding continental scale movements of aerial animals.

Indexed as

BirdsRadarWeatherAnimalsEurope

Identifiers

PMID40021718
PMCPMC11871220

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.