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COPYRIGHT.txt
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Project title: Data used in 'Chapter 16. Particle-laden gravity currents: the lock-release slumping regime at the laboratory scale'
Short project name: LOCK_PLGC_MONOGRAPH
List of authors:
- Cyril Gadal <cyril.gadal@imft.fr> Institut de Mécanique des Fluides de Toulouse (IMFT), Université de Toulouse, CNRS, Toulouse, France
- Jean Schneider <jean.schneider@univ-lorraine.fr> Laboratoire Énergies et Mécanique Théorique et Appliquée (LEMTA), Université de Lorraine, CNRS, 54500, Nancy, France
- Cyrille Bonamy <cyrille.bonamy@univ-grenoble-alpes.fr> Univ. Grenoble Alpes, CNRS, Grenoble INP, LEGI, 38000 Grenoble, France
- Julien Chauchat <julien.chauchat@univ-grenoble-alpes.fr> Univ. Grenoble Alpes, CNRS, Grenoble INP, LEGI, 38000 Grenoble, France
- Yvan Dossmann <yvan.dossmann@univ-lorraine.fr> Laboratoire Énergies et Mécanique Théorique et Appliquée (LEMTA), Université de Lorraine, CNRS, 54500, Nancy, France
- Sebastien Kiesgen De Richter <sebastien.kiesgen@univ-lorraine.fr> Laboratoire Énergies et Mécanique Théorique et Appliquée (LEMTA), Université de Lorraine, CNRS, 54500, Nancy, France
- Matthieu Mercier <matthieu.mercier@imft.fr> Institut de Mécanique des Fluides de Toulouse (IMFT), Université de Toulouse, CNRS, Toulouse, France
- Florence Naaim <florence.naaim@inrae.fr> Univ. Grenoble Alpes, INRAE, CNRS, IRD, Grenoble INP, IGE, 38000 Grenoble, France
- Marie Rastello <marie.rastello@univ-grenoble-alpes.fr> Univ. Grenoble Alpes, CNRS, Grenoble INP, LEGI, 38000 Grenoble, France
- Laurent Lacaze <laurent.lacaze@imft.fr> Institut de Mécanique des Fluides de Toulouse (IMFT), Université de Toulouse, CNRS, Toulouse, France
Description
-----------
This repository contains the data used in the paper:
"Gadal C., Schneider J., Bonamy C., Chauchat J., Dossmann Y., Kiesgen de Richter S., Mercier M. J., Naaim-Bouvet F., Rastello M., and Lacaze L. Chapter 16: Particle-laden gravity currents: the lock-release slumping regime at the laboratory scale. Submitted to AGU Monograph."
The folder 'data/output_data' contains 287 netcdf4 files corresponding to each experimental run used in the paper. For each run, the structure of the NetCDF file is the following:
- attributes:
- particle_type: particle type used (silica sand, glass beads, etc..)
- label: filename
- lab: lab where this run has been performed
- run_oldID: Old filename, corresponding to the experimental notebook
- author: author(s) that acquired this run
- setup: setup used to acquire the data. See article.
- dataset: Dataset classification of this run, See paper.
- dimensions(sizes): time(n)
- variables(dimensions):
- At(): Atwood number
- Fr(): Froude number (adi. initial current velocity)
- H0(): initial heavy fluid height inside the lock
- H_a(): ambient fluid height outside the lock
- L0(): streamwise lock length
- L_1(): streamwise tank length after the lock
- Re(): Reynolds number
- S(): Settling number
- St(): Stokes number
- T_a(): ambient temperature
- T_f(): heavy fluid temperature inside the lock
- W0(): crossstream lock width
- a(): lock aspect ratio
- alpha(): bottom slope
- d(): particle diameter
- gprime(): specific gravity
- lamb(): adi. attenuation parameter
- nu_a(): ambient viscosity
- nu_f(): heavy fluid lock viscosity
- phi(): initial particle volume fraction inside the lock
- rho_a(): ambient fluid density
- rho_c(): heavy fluid mix density inside the lock
- rho_f():
- rho_p(): particle density
- t('time',): time vector
- t0(): characteristic timescale, t0 = L0/u0
- u0(): characteristic velocity scale, u0 = sqrt(gprime*H0)
- vs(): particle Stokes velocity
- x_front('time',): front position vector
Variables can sometimes possess the following attributes:
- unit: corresponding unit
- std: error(s) on the given quantity, calculated by error propagation from measurement uncertainties using the `uncertainties` module (https://pythonhosted.org/uncertainties/) in Python.
- comments: comments on the given quantity (definition, formulas, etc ..)
In addition, the `analysis/analysis.py` script is used to generate the aforementioned NetCDF files from the original ones in `data/input_data`. The folder `paper` contains all source files of the article preprint, including Python codes to generate the article figures from the NetCDF files.
Finally, the CSV file 'dataset_summary.csv' offers a summary of all runs and corresponding experimental parameters, allowing for easier access to the data.
OpenData License: creative-common-attribution-v4.0
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Automatically generated file by project-meta.