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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