Johns Hopkins Turbulence Databases


Citing the database in your work:

The JH Turbulence Database (JHTDB) is developed as an open resource by the Johns Hopkins University, under the sponsorship of the National Science Foundation. Continued support for the database depends on demonstrable evidence of the database's value to the scientific community. We kindly request that you cite the database in your publications and presentations. The following citations are suggested:

For journal articles, proceedings, etc.., we suggest:

Y. Li, E. Perlman, M. Wan, Y. Yang, R. Burns, C. Meneveau, R. Burns, S. Chen, A. Szalay & G. Eyink. "A public turbulence database cluster and applications to study Lagrangian evolution of velocity increments in turbulence". Journal of Turbulence 9, No. 31 (2008).

E. Perlman, R. Burns, Y. Li, and C. Meneveau. "Data Exploration of Turbulence Simulations using a Database Cluster". Supercomputing SC07, ACM, IEEE, 2007.

For presentations, posters, etc.., we suggest:

Data obtained from the JHTDB at http://turbulence.pha.jhu.edu

For articles that use the channel flow data, we suggest also including:

J. Graham, K. Kanov, X.I.A. Yang, M.K. Lee, N. Malaya, C.C. Lalescu, R. Burns, G. Eyink, A. Szalay, R.D. Moser. and C. Meneveau: A Web Services-accessible database of turbulent channel flow and its use for testing a new integral wall model for LES. Journal of Turbulence 17 (2), 181-215, 2016. (© Taylor & Francis, see http://www.tandfonline.com/doi/pdf/10.1080/14685248.2015.1088656)

For articles that use the mhd flow data, we suggest also including:

G. Eyink, E. Vishniac, C. Lalescu, K. Aluie, H.and Kanov, K. Bürger, R. Burns, C. Meneveau, and A. Szalay. Flux-freezing breakdown in high-conductivity magnetohydrodynamic turbulence. Nature, 497(7450):466-469, 2013.

For articles that use the mixing flow data, we suggest also including:

D. Livescu, C. Canada, K. Kanov, R. Burns & IDIES staff, J. Pulido, "Homogeneous Buoyancy driven turbulence data set" (2014), available at http://turbulence.pha.jhu.edu/docs/README-HBDT.pdf

For articles that use the Lagrangian tracking GetPosition function, we suggest also including:

H. Yu, K. Kanov, E. Perlman, J. Graham, E. Frederix, R. Burns, A. Szalay, G. Eyink, and C. Meneveau. "Studying Lagrangian dynamics of turbulence using on-demand fluid particle tracking in a public turbulence database". Journal of Turbulence 13, No. 12 (2012).

Disclaimer: While many efforts have been made to ensure that these data are accurate and reliable within the limits of the current state of the art, neither JHU nor any other party involved in creating, producing or delivering the website shall be liable for any damages arising out of users' access to, or use of, the website or web services. Users use the website and web services at their own risk. JHU does not warrant that the functional aspects of the website will be uninterrupted or error free, and may make changes to the site without notice.

Last update: 10/7/2016 10:40:03 AM