diff --git a/README.md b/README.md
index a0d84ac..18c3fe1 100644
--- a/README.md
+++ b/README.md
@@ -6,43 +6,41 @@
 [![Binder](https://binder.projectpythia.org/badge_logo.svg)](https://binder.projectpythia.org/v2/gh/ProjectPythia/cookbook-template/main?labpath=notebooks)
 [![DOI](https://zenodo.org/badge/475509405.svg)](https://zenodo.org/badge/latestdoi/475509405)
 
-This Project Pythia Cookbook covers ... (replace `...` with the main subject of your cookbook ... e.g., _working with radar data in Python_)
+This Project Pythia Cookbook covers how to access and analyze datasets that can be accessed from Earth System Grid Federation (ESGF) cyberinfrastructure.
 
 ## Motivation
 
-(Add a few sentences stating why this cookbook will be useful. What skills will you, "the chef", gain once you have reached the end of the cookbook?)
+This cookbook focuses on highlighting analysis recipes, as well as data acccess methods, all accesible within the Python programming language. This cookbook also spans beyond the scope of a single Climate Model Intercomparison Project (ex. CMIP6), expanding to other experiments/datasets such as CMIP5 and obs4MIPs.
 
 ## Authors
 
-[First Author](@first-author), [Second Author](@second-author), etc. _Acknowledge primary content authors here_
+[Max Grover](@mgrover1), [Nathan Collier](@nocollier)
 
 ### Contributors
 
-<a href="https://github.com/ProjectPythia/cookbook-template/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=ProjectPythia/cookbook-template" />
+<a href="https://github.com/esgf2-us/esgf-cookbook/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=esgf2-us/esgf-cookbook" />
 </a>
 
 ## Structure
 
-(State one or more sections that will comprise the notebook. E.g., _This cookbook is broken up into two main sections - "Foundations" and "Example Workflows."_ Then, describe each section below.)
+### Searching
 
-### Section 1 ( Replace with the title of this section, e.g. "Foundations" )
+This content includes details on how to search for datasets hosted on ESGF cyberinfrastructure.
 
-(Add content for this section, e.g., "The foundational content includes ... ")
+### Workflows
 
-### Section 2 ( Replace with the title of this section, e.g. "Example workflows" )
-
-(Add content for this section, e.g., "Example workflows include ... ")
+Scientific workflows utilizing data accessed from ESGF.
 
 ## Running the Notebooks
 
-You can either run the notebook using [Binder](https://binder.projectpythia.org/) or on your local machine.
+You can either run the notebook using [the NIMBUS Binder](https://binder-nimbus.llnl.gov/) or on your local machine.
 
 ### Running on Binder
 
 The simplest way to interact with a Jupyter Notebook is through
-[Binder](https://binder.projectpythia.org/), which enables the execution of a
-[Jupyter Book](https://jupyterbook.org) in the cloud. The details of how this works are not
+[the NIMBUS Binder](https://binder-nimbus.llnl.gov/), which enables the execution of a
+[Jupyter Book](https://jupyterbook.org) in the cloud-like infrastructure. The details of how this works are not
 important for now. All you need to know is how to launch a Pythia
 Cookbooks chapter via Binder. Simply navigate your mouse to
 the top right corner of the book chapter you are viewing and click
@@ -61,20 +59,20 @@ If you are interested in running this material locally on your computer, you wil
 
 (Replace "cookbook-example" with the title of your cookbooks)
 
-1. Clone the `https://github.com/ProjectPythia/cookbook-example` repository:
+1. Clone the `https://github.com/esgf2-us/esgf-cookbook` repository:
 
    ```bash
-    git clone https://github.com/ProjectPythia/cookbook-example.git
+    git clone https://github.com/esgf2-us/esgf-cookbook.git
    ```
 
 1. Move into the `cookbook-example` directory
    ```bash
-   cd cookbook-example
+   cd esgf-cookbook
    ```
 1. Create and activate your conda environment from the `environment.yml` file
    ```bash
    conda env create -f environment.yml
-   conda activate cookbook-example
+   conda activate esgf-cookbok-dev
    ```
 1. Move into the `notebooks` directory and start up Jupyterlab
    ```bash