diff --git a/_sources/datasources/pubchem.md b/_sources/datasources/pubchem.md
index 3550f1a9..0e34c897 100644
--- a/_sources/datasources/pubchem.md
+++ b/_sources/datasources/pubchem.md
@@ -2,7 +2,22 @@
## What is PubChem?
-PubChem [(https://pubchem.ncbi.nlm.nih.gov)](https://pubchem.ncbi.nlm.nih.gov) {cite:p}`Kim2023` is a very popular chemistry information resource for biomedical research communities in many areas, including cheminformatics, chemical biology, medicinal chemistry, and drug discovery. PubChem's information content, collected from hundreds of data sources, is organized into multiple data collections, including Substance, Compound, BioAssay, Gene, Protein, Pathway, Cell Line, Taxonomy, and Patent {cite:p}`Kim2022`. Substance archives the chemical data submitted by individual data sources and Compound stores the unique chemical structures extracted from Substance through chemical structure standardization. BioAssay contains biological assay descriptions and test results deposited by assay data providers. The record identifiers (IDs) used in Substance, Compound, and BioAssay are called Substance ID (SID), Compound ID (CID), and Assay ID (AID), respectively. The other data collections (i.e., Gene, Protein, Pathway, Cell Line, Taxonomy, and Patent) provide alternative views of PubChem data, related to a specific gene, protein, pathway, cell line, taxon, and patent document, respectively. Each record in the data collections has a dedicated web page (called a Summary page), which presents information available in PubChem for that record. This page also presents relevant annotations collected by PubChem from authoritative data sources. Here are some example Summary pages for PubChem records.
+PubChem [(https://pubchem.ncbi.nlm.nih.gov)](https://pubchem.ncbi.nlm.nih.gov) {cite:p}`Kim2023` is a very popular
+chemistry information resource for biomedical research communities in many areas, including cheminformatics,
+chemical biology, medicinal chemistry, and drug discovery. PubChem's information content, collected from
+hundreds of data sources, is organized into multiple data collections, including Substance, Compound, BioAssay,
+Gene, Protein, Pathway, Cell Line, Taxonomy, and Patent {cite:p}`Kim2022`.
+
+Substance archives the chemical data submitted by individual data sources and Compound stores the unique
+chemical structures extracted from Substance through chemical structure standardization. BioAssay contains
+biological assay descriptions and test results deposited by assay data providers. The record identifiers (IDs)
+used in Substance, Compound, and BioAssay are called Substance ID (SID), Compound ID (CID), and Assay ID (AID),
+respectively. The other data collections (i.e., Gene, Protein, Pathway, Cell Line, Taxonomy, and Patent)
+provide alternative views of PubChem data, related to a specific gene, protein, pathway, cell line, taxon,
+and patent document, respectively. Each record in the data collections has a dedicated web page (called
+a Summary page), which presents information available in PubChem for that record. This page also presents
+relevant annotations collected by PubChem from authoritative data sources. Here are some example Summary
+pages for PubChem records.
- Compound (CID 60823, aspirin):
https://pubchem.ncbi.nlm.nih.gov/compound/2244
@@ -43,7 +58,6 @@ In addition, the following paper {cite:p}`Kim2021` provides step-by-step instruc
>Kim S. **Exploring Chemical Information in PubChem.** Curr. Protoc.; 2021 Aug 9; 1(8):e217. doi: https://doi.org/10.1002/cpz1.217.
>[\[PubMed PMID: 34370395\]](https://pubmed.ncbi.nlm.nih.gov/34370395/) [\[PubMed Central PMCID: PMC8363119\]](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8363119/) [\[Free Full Text\]](https://doi.org/10.1002/cpz1.217)
-
This paper includes several protocols designed to help users to get familiar with PubChem's data and tools.
* **Basic Protocol 1**: [Finding genes and proteins that interact with a given compound](https://currentprotocols.onlinelibrary.wiley.com/doi/10.1002/cpz1.217#cpz1217-prot-0001)
diff --git a/_sources/intro.md b/_sources/intro.md
index 83a2babf..28758bd4 100644
--- a/_sources/intro.md
+++ b/_sources/intro.md
@@ -1,23 +1,6 @@
-# Using the Cookbook
-
-The IUPAC FAIR Chemistry Cookbook is intended to be an open, collaborative, community focused resource on working with
-FAIR data in chemistry. FAIR data are findable, accessible, interoperable, and reusable for machine processing
-{cite:p}`Wilkinson2016`, the new paradigm for reporting research data. This cookbook aims to support best practices
-using chemical data standards through practical, interactive tutorials, provided by the International Union of Pure
-and Applied Chemistry (IUPAC) through the EU funded WorldFAIR project
-(see [About this project](https://iupac.github.io/WFChemCookbook/about.html)).
-
-## Recipes
-- Many of the recipes on this site will take advantage of Juypter Notebooks to run Python code
- in the browser for an interactive (and educational) feel for the user.
-- We have tried to provide useful information about each recipe in the collapsable 'header'
- that is below the title of the recipe. We are hoping this provides users with some sense
- of the how, what and when a recipe might be useful.
-- As part of the header we have included bullets for skills and learning objectives but have also
- thought to add use cases. If you have any ideas about how we should characterize recipes we would love to
- hear them!
-
-## Contributing to the Cookbook
-
-We welcome feedback & suggestions for additional content. For ways to do this go to our [feedback page](feedback.md)!
+# Welcome to the IUPAC FAIR Chemistry Cookbook
+Welcome to the IUPAC FAIR Chemistry Cookbook, a self-serve web-based toolbox of interactive demonstrations of
+community best practices in machine-readable chemical data management. The Cookbook is an openly accessible
+collaborative resource supported by IUPAC to exemplify the FAIR principles and standards in cheminformatics
+and provide hands-on executable content for experiential learning.
diff --git a/about_cookbook.html b/about_cookbook.html
index 32354d72..d45c2b95 100644
--- a/about_cookbook.html
+++ b/about_cookbook.html
@@ -65,7 +65,7 @@
-
+
@@ -442,7 +442,7 @@
Mark D. et al. Wilkinson. The fair guiding principles for scientific data management and stewardship. Scientific Data, 3:160018, 2016. doi:10.1038/sdata.2016.18.
PubChem (https://pubchem.ncbi.nlm.nih.gov)[KCC+23] is a very popular chemistry information resource for biomedical research communities in many areas, including cheminformatics, chemical biology, medicinal chemistry, and drug discovery. PubChem’s information content, collected from hundreds of data sources, is organized into multiple data collections, including Substance, Compound, BioAssay, Gene, Protein, Pathway, Cell Line, Taxonomy, and Patent [KCH+22]. Substance archives the chemical data submitted by individual data sources and Compound stores the unique chemical structures extracted from Substance through chemical structure standardization. BioAssay contains biological assay descriptions and test results deposited by assay data providers. The record identifiers (IDs) used in Substance, Compound, and BioAssay are called Substance ID (SID), Compound ID (CID), and Assay ID (AID), respectively. The other data collections (i.e., Gene, Protein, Pathway, Cell Line, Taxonomy, and Patent) provide alternative views of PubChem data, related to a specific gene, protein, pathway, cell line, taxon, and patent document, respectively. Each record in the data collections has a dedicated web page (called a Summary page), which presents information available in PubChem for that record. This page also presents relevant annotations collected by PubChem from authoritative data sources. Here are some example Summary pages for PubChem records.
+
PubChem (https://pubchem.ncbi.nlm.nih.gov)[KCC+23] is a very popular
+chemistry information resource for biomedical research communities in many areas, including cheminformatics,
+chemical biology, medicinal chemistry, and drug discovery. PubChem’s information content, collected from
+hundreds of data sources, is organized into multiple data collections, including Substance, Compound, BioAssay,
+Gene, Protein, Pathway, Cell Line, Taxonomy, and Patent [KCH+22].
+
Substance archives the chemical data submitted by individual data sources and Compound stores the unique
+chemical structures extracted from Substance through chemical structure standardization. BioAssay contains
+biological assay descriptions and test results deposited by assay data providers. The record identifiers (IDs)
+used in Substance, Compound, and BioAssay are called Substance ID (SID), Compound ID (CID), and Assay ID (AID),
+respectively. The other data collections (i.e., Gene, Protein, Pathway, Cell Line, Taxonomy, and Patent)
+provide alternative views of PubChem data, related to a specific gene, protein, pathway, cell line, taxon,
+and patent document, respectively. Each record in the data collections has a dedicated web page (called
+a Summary page), which presents information available in PubChem for that record. This page also presents
+relevant annotations collected by PubChem from authoritative data sources. Here are some example Summary
+pages for PubChem records.
The IUPAC FAIR Chemistry Cookbook is intended to be an open, collaborative, community focused resource on working with
-FAIR data in chemistry. FAIR data are findable, accessible, interoperable, and reusable for machine processing
-[Wil16], the new paradigm for reporting research data. This cookbook aims to support best practices
-using chemical data standards through practical, interactive tutorials, provided by the International Union of Pure
-and Applied Chemistry (IUPAC) through the EU funded WorldFAIR project
-(see About this project).
Many of the recipes on this site will take advantage of Juypter Notebooks to run Python code
-in the browser for an interactive (and educational) feel for the user.
-
We have tried to provide useful information about each recipe in the collapsable ‘header’
-that is below the title of the recipe. We are hoping this provides users with some sense
-of the how, what and when a recipe might be useful.
-
As part of the header we have included bullets for skills and learning objectives but have also
-thought to add use cases. If you have any ideas about how we should characterize recipes we would love to
-hear them!
Welcome to the IUPAC FAIR Chemistry Cookbook, a self-serve web-based toolbox of interactive demonstrations of
+community best practices in machine-readable chemical data management. The Cookbook is an openly accessible
+collaborative resource supported by IUPAC to exemplify the FAIR principles and standards in cheminformatics
+and provide hands-on executable content for experiential learning.