Merge pull request #47 from nrc-cnrc/hotfix

Signed-off-by: Parks <Harold.Parks@ds.nrc.ca>

Author: hvparks

CITATION.cff

@@ -4,7 +4,7 @@ authors:
 - family-names: "Parks"
   given-names: "Harold V."
 title: "MetroloPy"
-version: 1.0.0
-doi: 10.5281/zenodo.16950044
-date-released: 2025-08-26
+version: 1.0.1
+doi: 10.5281/zenodo.17049334
+date-released: 2025-09-03
 url: "https://github.com/nrc-cnrc/MetroloPy"

README.md

@@ -30,7 +30,7 @@ Physical quantities can then be represented in Python as `gummy` objects with an
 
 MetroloPy can do much more including Monte-Carlo uncertainty propagation, generating uncertainty budget tables, and curve fitting.  It can also handle expanded uncertainties, degrees of freedom, correlated quantities, and complex valued quantities. See:
 
-* [a tutorial](https://nrc-cnrc.github.io/MetroloPy/_build/html/_static/tutorial.html) (or  <a href="https://nrc-cnrc.github.io/MetroloPy/_build/html/_downloads/tutorial.ipynb" download> download the tutorial as Jupyter notebook</a>)
+* [a tutorial](https://nrc-cnrc.github.io/MetroloPy/_build/html/_static/tutorial.html) (or  <a href="https://nrc-cnrc.github.io/MetroloPy/_build/html/_downloads/tutorial.ipynb" target="_blank"> download the tutorial as Jupyter notebook</a>)
 * [the documentation](https://nrc-cnrc.github.io/MetroloPy/_build/html/index.html)
 * [the issues page on GitHub](https://github.com/nrc-cnrc/Metrolopy/issues)
 * [a list of the units built into MetroloPy](https://nrc-cnrc.github.io/MetroloPy/_static/units.html)