001     1037766
005     20250310131248.0
024 7 _ |a 10.1098/rsos.241561
|2 doi
024 7 _ |a 10.34734/FZJ-2025-00921
|2 datacite_doi
024 7 _ |a 39975664
|2 pmid
024 7 _ |a WOS:001424629500001
|2 WOS
037 _ _ |a FZJ-2025-00921
082 _ _ |a 600
100 1 _ |a Sieben, Anna
|0 P:(DE-Juel1)178979
|b 0
|e Corresponding author
245 _ _ |a Behavioural repertoires in moving crowds: An observational approach
260 _ _ |a London
|c 2025
|b Royal Soc. Publ.
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1741350895_27933
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
536 _ _ |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5111
|c POF4-511
|f POF IV
|x 0
588 _ _ |a Dataset connected to DataCite
700 1 _ |a Postmes, Tom
|0 P:(DE-HGF)0
|b 1
773 _ _ |a 10.1098/rsos.241561
|0 PERI:(DE-600)2787755-3
|n 2
|p 0
|t Royal Society Open Science
|v 12
|y 2025
|x 2054-5703
856 4 _ |u https://juser.fz-juelich.de/record/1037766/files/Invoice-APC600621327.pdf
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/1037766/files/sieben-postmes-2025-behavioural-repertoires-in-moving-crowds-an-observational-approach.pdf
909 C O |o oai:juser.fz-juelich.de:1037766
|p openaire
|p open_access
|p OpenAPC
|p driver
|p VDB
|p openCost
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)178979
913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-511
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Enabling Computational- & Data-Intensive Science and Engineering
|9 G:(DE-HGF)POF4-5111
|x 0
914 1 _ |y 2025
915 p c |a APC keys set
|0 PC:(DE-HGF)0000
|2 APC
915 p c |a DOAJ Journal
|0 PC:(DE-HGF)0003
|2 APC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2024-12-31
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2024-12-31
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2024-12-31
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2024-12-31
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1040
|2 StatID
|b Zoological Record
|d 2024-12-31
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b ROY SOC OPEN SCI : 2022
|d 2024-12-31
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2021-03-15T10:45:56Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2021-03-15T10:45:56Z
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2024-12-31
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2024-12-31
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2024-12-31
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2024-12-31
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Anonymous peer review
|d 2021-03-15T10:45:56Z
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2024-12-31
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1120
|2 StatID
|b BIOSIS Reviews Reports And Meetings
|d 2024-12-31
915 _ _ |a National-Konsortium
|0 StatID:(DE-HGF)0430
|2 StatID
|d 2024-12-31
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2024-12-31
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2024-12-31
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IAS-7-20180321
|k IAS-7
|l Zivile Sicherheitsforschung
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)IAS-7-20180321
980 _ _ |a APC
980 1 _ |a APC
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21