Added datset shield

zabaras · Dec 2, 2020 · a1e9556 · a1e9556
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diff --git a/README.md b/README.md
@@ -4,7 +4,7 @@ Multi-fidelity Generative Deep Learning Turbulent Flows [[FoDS]()][[ArXiv](https
 [Nicholas Geneva](http:https://nicholasgeneva.com/), [Nicholas Zabaras](https://cics.nd.edu)
 
 ---
-[![Documentation Status](https://readthedocs.org/projects/deep-turbulence/badge/?version=latest)](https://deep-turbulence.readthedocs.io/en/latest/?badge=latest) ![liscense](https://img.shields.io/github/license/zabaras/deep-turbulence)
+[![Documentation Status](https://readthedocs.org/projects/deep-turbulence/badge/?version=latest)](https://deep-turbulence.readthedocs.io/en/latest/?badge=latest) ![dataset](https://zenodo.org/badge/DOI/10.5281/zenodo.4298896.svg) ![liscense](https://img.shields.io/github/license/zabaras/deep-turbulence)
 
 A novel multi-fidelity deep generative model is introduced for the surrogate modeling of high-fidelity turbulent flow fields given the solution of a computationally inexpensive but inaccurate low-fidelity solver.
 

diff --git a/tmglow/args.py b/tmglow/args.py
@@ -103,7 +103,7 @@ class Parser(argparse.ArgumentParser):
  :param lr: ADAM optimizer learning rate
  :type lr: float
 
- :note: Use `python main.py --help` for more information. Only serval key of arguments are listed here.
+ :note: Use `python main.py --help` for more information. Only several key of arguments are listed here.
  """
  def __init__(self):
  super(Parser, self).__init__(description='Read')