001     996125
005     20230216201744.0
024 7 _ |a 10.34730/5DBC8E35F21241D0889906136CF28D26
|2 doi
024 7 _ |a 10.34730/5dbc8e35f21241d0889906136cf28d26
|2 doi
037 _ _ |a FZJ-2023-01122
100 1 _ |a Albers, Marian
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Actuated Turbulent Boundary Layer Flows Dataset
260 _ _ |a b2share
|c 2023
|b https://b2share.eudat.eu
336 7 _ |a MISC
|2 BibTeX
336 7 _ |a Dataset
|b dataset
|m dataset
|0 PUB:(DE-HGF)32
|s 1676530215_5234
|2 PUB:(DE-HGF)
336 7 _ |a Chart or Table
|0 26
|2 EndNote
336 7 _ |a Dataset
|2 DataCite
336 7 _ |a DATA_SET
|2 ORCID
336 7 _ |a ResearchData
|2 DINI
500 _ _ |a The authors of this dataset are Albers, M., Meysonnat, P. S., Fernex, D., Semaan, R., Noack, B. R., and Schröder, W. The author Lintermann, A. manages the distribution of this dataset.
520 _ _ |a This data collection contains time-series of three-dimensional snapshots for a parametric study of flat plate turbulent boundary layer flow actuated by spanwise traveling transversal surface waves with the goal of friction drag reduction. Details regarding the numerical setup and the structure of the data are given at https://www.coe-raise.eu/od-tbl.
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
536 _ _ |a RAISE - Research on AI- and Simulation-Based Engineering at Exascale (951733)
|0 G:(EU-Grant)951733
|c 951733
|f H2020-INFRAEDI-2019-1
|x 1
588 _ _ |a Dataset connected to DataCite
700 1 _ |a Meysonnat, Pascal S.
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Fernex, Daniel
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Semaan, Richard
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Noack, Bernd R.
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Schröder, Wolfgang
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Lintermann, Andreas
|0 P:(DE-Juel1)165948
|b 6
|e Corresponding author
|u fzj
773 _ _ |a 10.34730/5dbc8e35f21241d0889906136cf28d26
856 4 _ |u https://www.coe-raise.eu/od-tbl
909 C O |o oai:juser.fz-juelich.de:996125
|p openaire
|p VDB
|p ec_fundedresources
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 6
|6 P:(DE-Juel1)165948
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 2023
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
980 _ _ |a dataset
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED


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