diff --git a/stade/core/templates/data/milk10k.html b/stade/core/templates/data/milk10k.html
index 3548f3d..b4a11eb 100644
--- a/stade/core/templates/data/milk10k.html
+++ b/stade/core/templates/data/milk10k.html
@@ -72,12 +72,17 @@
     <a href="https://doi.org/10.1016/j.jid.2025.06.1594">https://doi.org/10.1016/j.jid.2025.06.1594</a>.
 </p>
 
-<h3>Citing 2025 datasets:</h3>
+<h3>Citing MILK10k datasets:</h3>
 To comply with the attribution requirements of the
 <a href="https://creativecommons.org/licenses/by-nc/4.0/">
     CC-BY-NC license
 </a>,
-the "ISIC 2025" data must be cited as:
+the "MILK10k" dataset must be cited as:
 <blockquote>
   MILK study team. <em>MILK10k.</em> ISIC Archive, 2025, doi:10.34970/648456.
 </blockquote>
+
+When referencing this dataset in your own manuscripts and publications, please use the following full citations:
+<blockquote>
+  Tschandl P, Akay BN, Rosendahl C, Rotemberg V, Todorovska V, Weber J, Wolber AK, Müller C, Kurtansky N, Halpern A, Weninger W, Kittler H. MILK10k: A Hierarchical Multimodal Imaging-Learning Toolkit for Diagnosing Pigmented and Nonpigmented Skin Cancer and its Simulators. J Invest Dermatol. 2026;146(2):357-364.e7. doi: 10.1016/j.jid.2025.06.1594.
+</blockquote>