Data support for "Optimal heat transport in rotating Rayleigh-Bénard convection at large Rayleigh numbers"
DOI:10.4121/ce1fb7ef-8bbe-45e8-a72a-09fefc4bb7ab.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
DOI: 10.4121/ce1fb7ef-8bbe-45e8-a72a-09fefc4bb7ab
DOI: 10.4121/ce1fb7ef-8bbe-45e8-a72a-09fefc4bb7ab
Datacite citation style
Hartmann, Robert (2023): Data support for "Optimal heat transport in rotating Rayleigh-Bénard convection at large Rayleigh numbers". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/ce1fb7ef-8bbe-45e8-a72a-09fefc4bb7ab.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This dataset contains the data shown in the publication "Optimal heat transport in rotating Rayleigh-Bénard convection at large Rayleigh numbers". The post-processed data from the output of direct numerical simulations is given in HDF5 containers. Selected raw output of the direct numerical simulations (all time series) is provided in zipped folders.
History
- 2023-08-30 first online, published, posted
Publisher
4TU.ResearchDataFormat
Post-processed data in HDF5 containers. Zipped folders of selected raw data (plain text files and HDF5 conainers)Associated peer-reviewed publication
Optimal heat transport in rotating Rayleigh-Bénard convection at large Rayleigh numbersFunding
- ERC Starting Grant UltimateRB No.~804283
- Direct numerical simulations towards ultimate turbulence (grant code 804283) [more info...] European Research Council
Organizations
University of Twente, Faculty of Science and Technology (TNW), Physics of Fluids Group (PoF)DATA
Files (12)
- 10,455 bytesMD5:
de7b07b7e6b045f1d663802e6d902d40README.md - 33,248 bytesMD5:
c98ed2fb7e1a1e7725ece6f2ac39bff5Averages.h5 - 21,104 bytesMD5:
085e06c635cf2ba799057d93665c4dedAverages_YANG20.h5 - 50,496 bytesMD5:
085ec38dcd10a93ad44f3eea199eab5bBLdata.h5 - 30,624 bytesMD5:
6ae019c2716c065bb0f43bad8b186bceBLdata_YANG20.h5 - 20,928 bytesMD5:
f974b130bf310f49fcabbef15290f7ecDissipGL.h5 - 14,304 bytesMD5:
9fc4bcc94a379057eaa15a0064ea2e6bDissipGL_YANG20.h5 - 11,072 bytesMD5:
333841d8957a69bbd4e04577f51007d8KrtUz.h5 - 8,864 bytesMD5:
6841183c157f2474c89a24fe87930bc3KrtUz_YANG20.h5 - 200,400,864 bytesMD5:
ffe1577b65d9abe16a95862fc38bdba9NuRe_TimeSeries.tar.gz - 11,072 bytesMD5:
7bf6aabbf717d054bd07b76cab9dac02Tgrad_bulk.h5 - 8,864 bytesMD5:
d59f1166f8894f468a129c882831246fTgrad_bulk_YANG20.h5 -
download all files (zip)
200,621,895 bytes unzipped





