diff --git a/topics/computational-chemistry/tutorials/med-chem-data/tutorial.md b/topics/computational-chemistry/tutorials/med-chem-data/tutorial.md
index 19c6562889b492..57d4bc228c291f 100644
--- a/topics/computational-chemistry/tutorials/med-chem-data/tutorial.md
+++ b/topics/computational-chemistry/tutorials/med-chem-data/tutorial.md
@@ -49,6 +49,13 @@ follow_up_training:
   -
     type: "internal"
     topic_name: computational-chemistry
+
+recordings:
+  - speakers:
+    - wee-snufkin
+    date: '2024-09-12'
+    length: 48M1S
+    youtube_id: "JWV6IiD6mPE"
 ---
 
 The development of medicinal chemistry is advancing very rapidly. Big pharmaceutical companies, research institutes and universities are working on ground-breaking solutions to help patients combat all kinds of diseases. During that development process, tons of data are generated – not only from the lab environment but also from clinical trials. Given that the discovery of more potent, safer and cheaper drugs is the ultimate goal of all research bodies, we should all focus on making the data we gather FAIR: **F**indable, **A**ccessible, **I**nteroperable, and **R**eusable to push the boundaries of drug development even further. 
diff --git a/topics/fair/tutorials/bioimage-REMBI/tutorial.md b/topics/fair/tutorials/bioimage-REMBI/tutorial.md
index 8fac24fa86402b..c90bf4ccdbcbf0 100644
--- a/topics/fair/tutorials/bioimage-REMBI/tutorial.md
+++ b/topics/fair/tutorials/bioimage-REMBI/tutorial.md
@@ -47,6 +47,14 @@ requirements:
 follow_up_training:
   - type: "internal"
     topic_name: imaging
+
+recordings:
+  - speakers:
+    - lcooper
+    date: '2024-09-12'
+    length: 48M14S
+    youtube_id: "QA82MzWle_w"
+
 ---
 
 # Metadata guidelines for bioimaging data
diff --git a/topics/fair/tutorials/fair-clinical/tutorial.md b/topics/fair/tutorials/fair-clinical/tutorial.md
index 584e54a26bc14b..9b3400ed93863b 100644
--- a/topics/fair/tutorials/fair-clinical/tutorial.md
+++ b/topics/fair/tutorials/fair-clinical/tutorial.md
@@ -37,6 +37,13 @@ requirements:
     tutorials:
       - fair-intro
 
+recordings:
+  - speakers:
+    - SNG888
+    date: '2024-09-12'
+    length: 1H2M54S
+    youtube_id: "48hRQM0yvao"
+
 ---
 
 
diff --git a/topics/single-cell/tutorials/EBI-retrieval/tutorial.md b/topics/single-cell/tutorials/EBI-retrieval/tutorial.md
index a650d74b34f1ca..74994248aa47a8 100644
--- a/topics/single-cell/tutorials/EBI-retrieval/tutorial.md
+++ b/topics/single-cell/tutorials/EBI-retrieval/tutorial.md
@@ -51,9 +51,17 @@ follow_up_training:
     tutorials:
         - scrna-case_basic-pipeline
 
+recordings:
+  - speakers:
+    - hexhowells
+    date: '2024-09-12'
+    length: 18M54S
+    youtube_id: "Yx7m7Uh4tVg"
+
 tags:
   - data import
   - data management
+
 ---
 
 # Introduction
diff --git a/topics/single-cell/tutorials/scrna-ncbi-anndata/tutorial.md b/topics/single-cell/tutorials/scrna-ncbi-anndata/tutorial.md
index 3a4457bf3d7011..09b28413c21803 100644
--- a/topics/single-cell/tutorials/scrna-ncbi-anndata/tutorial.md
+++ b/topics/single-cell/tutorials/scrna-ncbi-anndata/tutorial.md
@@ -41,6 +41,13 @@ follow_up_training:
     type: "internal"
     topic_name: single-cell
 
+recordings:
+  - speakers:
+    - hexhowells
+    date: '2020-09-12'
+    length: 26M11S
+    youtube_id: "abqwwwR1dbk"
+
 ---
 
 The goal of this tutorial is to take raw NCBI data from some published research, convert the raw data into the AnnData format then add metadata to the object so that it can be used for further processing / analysis. Here we will look at the steps to obtain, understand, and manipulate the data in order for it to be properly processed.