update blurb text, cite cover image, link to issues

IMMM-SFA · Mar 1, 2022 · e50ad51 · e50ad51
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diff --git a/docs/source/acknowledgements.rst b/docs/source/acknowledgements.rst
@@ -4,7 +4,9 @@ Acknowledgements
 
 This e-book was developed by the `Integrated Multisector, Multiscale Modeling (IM3) project <https://im3.pnnl.gov>`_, supported by the `U.S. Department of Energy <https://www.energy.gov/>`_, `Office of Science <https://www.energy.gov/science/office-science>`_, as part of research in the `MultiSector Dynamics <https://climatemodeling.science.energy.gov/program/multisector-dynamics>`_, Earth and Environmental System Modeling Program.
 
-Open source under license CC BY-NC-ND 4.0
+Open source under license `CC BY-NC-ND-4.0 <https://creativecommons.org/licenses/by-nc-nd/4.0/>`_.
+
+Portions of cover image by `V.Cid7413 <https://commons.wikimedia.org/wiki/File:The_Amazing_Earth.jpg>`_, distributed under a `CC-BY-4.0 <https://creativecommons.org/licenses/by/4.0>`_ license.
 
 Open Source Disclaimer:
 

diff --git a/docs/source/index.rst b/docs/source/index.rst
@@ -40,6 +40,16 @@ Addressing Uncertainty in MultiSector Dynamics Research
                 <br/>
                 Click or tap the <i style="padding: 0 0.25rem;" class="fas fa-bars"></i> icon to show and hide the sidebar.
             </p>
+
+    .. admonition:: Info
+
+        .. raw:: html
+
+            <p>
+                See something that could be improved? <a target="_blank" href="https://github.com/IMMM-SFA/msd_uncertainty_ebook/issues/new">Open an issue</a> on GitHub!
+                <br/>
+                Click or tap the <i style="padding: 0 0.25rem;" class="fab fa-github"></i> icon to find this link again.
+            </p>
 
 .. raw:: latex
 

diff --git a/landing/src/routes/index.svelte b/landing/src/routes/index.svelte
@@ -91,7 +91,7 @@
 >
 	<div class="hidden md:block font-['ornaments'] text-slate-500 text-4xl mx-6">p</div>
 	<div class="max-w-4xl">
-		A practical guide to sensitivity analysis and diagnostic model evaluation techniques for
+		A living guide to sensitivity analysis and diagnostic model evaluation techniques for
 		confronting the computational and conceptual challenges of multi-model, transdisciplinary
 		workflows.
 	</div>