add archived note

Author: TimidRobot

content/blog/entries/cc-datacatalog-data-processing-2/contents.lr

@@ -16,6 +16,11 @@ pub_date: 2019-07-26
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+> ℹ️ **2023-08-31:** This project was archived along with the shuttering of CC
+Search (now [Openverse](https://openverse.org/)). Please also see the
+[Quantifying the Commons](https://github.com/creativecommons/quantifying)
+project.
+
 This is a continuation of my last blog post about the data processing part of the CC-data catalog visualization project. I recommend you to read that [last post](https://opensource.creativecommons.org/blog/entries/cc-datacatalog-data-processing/) for a better understanding of what I'll explain here.
 
 

content/blog/entries/cc-datacatalog-data-processing-3/contents.lr

@@ -16,6 +16,11 @@ pub_date: 2019-08-12
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+> ℹ️ **2023-08-31:** This project was archived along with the shuttering of CC
+Search (now [Openverse](https://openverse.org/)). Please also see the
+[Quantifying the Commons](https://github.com/creativecommons/quantifying)
+project.
+
 This is a continuation of my last blog post about the data processing part 2 of the CC-data catalog visualization project. I recommend you to read that [last post](https://opensource.creativecommons.org/blog/entries/cc-datacatalog-data-processing-2/) for a better understanding of what I'll explain here.
 
 Hello! In this post I am going to talk you about the extraction of unique nodes, and links, and the visualization of the force-directed graph with the processed data. 

content/blog/entries/cc-datacatalog-data-processing/contents.lr

@@ -16,6 +16,11 @@ pub_date: 2019-07-10
 ---
 body:
 
+> ℹ️ **2023-08-31:** This project was archived along with the shuttering of CC
+Search (now [Openverse](https://openverse.org/)). Please also see the
+[Quantifying the Commons](https://github.com/creativecommons/quantifying)
+project.
+
 Welcome to the data processing part of the GSoC project! In this blog post, I am going to tell you about my first thoughts with the real data, and give you some details of the implementation developed so far. 
 
 ### Data Extraction

content/blog/entries/cc-datacatalog-data-thelinkedcommons/contents.lr

@@ -16,6 +16,11 @@ pub_date: 2019-09-03
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+> ℹ️ **2023-08-31:** This project was archived along with the shuttering of CC
+Search (now [Openverse](https://openverse.org/)). Please also see the
+[Quantifying the Commons](https://github.com/creativecommons/quantifying)
+project.
+
 This is a continuation of my last blog post about the data processing part 3 of the CC-data catalog visualization project. I recommend you to read that [last post](https://opensource.creativecommons.org/blog/entries/cc-datacatalog-data-processing-3/) for a better understanding of what I'll explain here.
 
 Hello! In this last post, I am going to talk you about the final visualization. First, I would like to talk about the data and share my recommendations.

content/blog/entries/cc-datacatalog-visualization/contents.lr

@@ -16,6 +16,11 @@ pub_date: 2019-06-17
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 body:
 
+> ℹ️ **2023-08-31:** This project was archived along with the shuttering of CC
+Search (now [Openverse](https://openverse.org/)). Please also see the
+[Quantifying the Commons](https://github.com/creativecommons/quantifying)
+project.
+
 _“By visualizing information, we turn it into a landscape that you can explore with your eyes.”_ – David McCandless.
 
 The landscape of licensed content is wide and varied. We have domains linking to other domains, different license types, and some metadata. This information is extracted from the Internet monthly by [Common Crawl](http://commoncrawl.org/). It is fair to mention that we have 250 million works and growing! If you didn't know we had so much licensed content, well then, this is one of the goals of this project: show the users how licensers are connected, their licensed content, and show how the licensing wave is expanding.