From 41077517853a29a20b36798c43ea7a6d1e34b6c8 Mon Sep 17 00:00:00 2001
From: Dylan Daniels <dylansdaniels@gmail.com>
Date: Wed, 28 Aug 2024 08:37:27 -0400
Subject: [PATCH] some reworks to the sections

---
 workshop-instructions/instructions.html | 25 +++++++++++++------------
 workshop-instructions/instructions.md   | 21 ++++++++++++---------
 2 files changed, 25 insertions(+), 21 deletions(-)

diff --git a/workshop-instructions/instructions.html b/workshop-instructions/instructions.html
index ba960ec..e8fc8bd 100644
--- a/workshop-instructions/instructions.html
+++ b/workshop-instructions/instructions.html
@@ -89,7 +89,11 @@
 <p><strong>Table of Contents</strong></p>
 <ul>
 <li><a href="#workshop-sign-in-optional-but-encouraged">Workshop Sign-In (Optional but Encouraged)</a></li>
-<li><a href="#download-workshop-materials">Download Workshop Materials</a></li>
+<li><a href="#workshop-materials">Workshop Materials</a>
+<ul>
+<li><a href="#hnn-core-gui-tutorial">HNN-Core GUI Tutorial</a></li>
+<li><a href="#hnn-core-python-tutorial">HNN-Core Python Tutorial</a></li>
+</ul></li>
 <li><a href="#preferred-installation-method-google-colab">Preferred Installation Method: Google CoLab</a></li>
 <li><a href="#alternative-installation-methods">Alternative Installation Methods</a>
 <ul>
@@ -115,17 +119,14 @@ <h1 id="workshop-sign-in-optional-but-encouraged">Workshop Sign-In (Optional but
 <p>
 Thanks for your support. 😁
 </p>
-<h1 id="download-workshop-materials">Download Workshop Materials</h1>
-<p>To follow along with the workshop, you’ll need to download the following materials:</p>
-<ul>
-<li>The <a href="https://github.com/jonescompneurolab/hnn-data">hnn-data repository</a> (needed for the HNN-Core GUI tutorial)</li>
-<li>The <a href="https://github.com/jasmainak/hnn-workshop-materials/tree/biomag_2024">hnn-workshop-materials repository</a> (needed for the HNN-Core Python tutorial)</li>
-</ul>
-<p>Click <a href="https://github.com/jonescompneurolab/hnn-data/archive/refs/heads/main.zip">here</a> to download the hnn-data folder, and <a href="https://github.com/jasmainak/hnn-workshop-materials/archive/refs/heads/biomag_2024.zip">here</a> to download the hnn-workshop-materials folder.</p>
-<p>Altenatively, you can clone the repositores with the follwing commands.</p>
-<div class="sourceCode" id="cb1"><pre class="sourceCode bash"><code class="sourceCode bash"><span id="cb1-1"><a href="#cb1-1"></a><span class="fu">git</span> clone https://github.com/jonescompneurolab/hnn-data.git</span>
-<span id="cb1-2"><a href="#cb1-2"></a><span class="fu">git</span> clone https://github.com/jasmainak/hnn-workshop-materials.git</span></code></pre></div>
-<p>If you’ve already cloned the repositories in the past, be sure to run <code>git pull</code> to download the latest updates.</p>
+<h1 id="workshop-materials">Workshop Materials</h1>
+<h2 id="hnn-core-gui-tutorial">HNN-Core GUI Tutorial</h2>
+<p>This section of the workshop will require you to use HNN-Core GUI. See the sections below outlining the different installation methods available for getting started with the GUI.</p>
+<p>To follow along with the workshop, you’ll also need to clone or download the <a href="https://github.com/jonescompneurolab/hnn-data">hnn-data repository</a>.</p>
+<p>Click <a href="https://github.com/jonescompneurolab/hnn-data/archive/refs/heads/main.zip">here</a> to download the hnn-data folder directly. Altenatively, you can clone the repository with the follwing command.</p>
+<div class="sourceCode" id="cb1"><pre class="sourceCode bash"><code class="sourceCode bash"><span id="cb1-1"><a href="#cb1-1"></a><span class="fu">git</span> clone https://github.com/jonescompneurolab/hnn-data.git</span></code></pre></div>
+<h2 id="hnn-core-python-tutorial">HNN-Core Python Tutorial</h2>
+<p>The HNN-Core Python tutorial will utilize the following Google CoLab notebook, which can also be downloaded as an .ipynb file and run locally: <a href="https://colab.research.google.com/drive/1CvNTB_puonJiVvHmFhKhrr_CjmrfbgVB?usp=sharing">hnn-workshop-materials</a></p>
 <h1 id="preferred-installation-method-google-colab">Preferred Installation Method: Google CoLab</h1>
 <p>This installation method is the quickest way to get up and running with the HNN-Core GUI, though it does require a Google Account. If you do not have a Google account, you can either create one for free to run the notebook, or try one of the other installation methods listed below.</p>
 <p>We have created a Google CoLab notebook that allows you to run the HNN-Core GUI out of your browser, with access to your local filesystem. Click <a href="https://colab.research.google.com/drive/1yyjuEBimIu_f7_0Nf3YLwUiVOO7ZrKK3?usp=sharing">here</a> to open the notebook, which includes instructions on how to get set up.</p>
diff --git a/workshop-instructions/instructions.md b/workshop-instructions/instructions.md
index 34ab068..951c215 100644
--- a/workshop-instructions/instructions.md
+++ b/workshop-instructions/instructions.md
@@ -1,7 +1,9 @@
 **Table of Contents**
 
 - [Workshop Sign-In (Optional but Encouraged)](#workshop-sign-in-optional-but-encouraged)
-- [Download Workshop Materials](#download-workshop-materials)
+- [Workshop Materials](#workshop-materials)
+  - [HNN-Core GUI Tutorial](#hnn-core-gui-tutorial)
+  - [HNN-Core Python Tutorial](#hnn-core-python-tutorial)
 - [Preferred Installation Method: Google CoLab](#preferred-installation-method-google-colab)
 - [Alternative Installation Methods](#alternative-installation-methods)
   - [Oscar On Demand (OOD) Virtual Desktop](#oscar-on-demand-ood-virtual-desktop)
@@ -24,22 +26,23 @@ Click [here](https://forms.gle/YnZX9ZRm8WvWpAGU7) to navigate to our Virtual Sig
 <p>Thanks for your support. &#128513;</p>
 
 
-# Download Workshop Materials
-To follow along with the workshop, you'll need to download the following materials:
+# Workshop Materials
 
-- The [hnn-data repository](https://github.com/jonescompneurolab/hnn-data) (needed for the HNN-Core GUI tutorial)
-- The [hnn-workshop-materials repository](https://github.com/jasmainak/hnn-workshop-materials/tree/biomag_2024) (needed for the HNN-Core Python tutorial)
+## HNN-Core GUI Tutorial
 
-Click [here](https://github.com/jonescompneurolab/hnn-data/archive/refs/heads/main.zip) to download the hnn-data folder, and [here](https://github.com/jasmainak/hnn-workshop-materials/archive/refs/heads/biomag_2024.zip) to download the hnn-workshop-materials folder. 
+This section of the workshop will require you to use HNN-Core GUI. See the sections below outlining the different installation methods available for getting started with the GUI.
 
-Altenatively, you can clone the repositores with the follwing commands.
+To follow along with the workshop, you'll also need to clone or download the [hnn-data repository](https://github.com/jonescompneurolab/hnn-data).
+
+Click [here](https://github.com/jonescompneurolab/hnn-data/archive/refs/heads/main.zip) to download the hnn-data folder directly. Altenatively, you can clone the repository with the follwing command.
 
 ```bash
 git clone https://github.com/jonescompneurolab/hnn-data.git
-git clone https://github.com/jasmainak/hnn-workshop-materials.git
 ```
 
-If you've already cloned the repositories in the past, be sure to run `git pull` to download the latest updates.
+## HNN-Core Python Tutorial
+
+The HNN-Core Python tutorial will utilize the following Google CoLab notebook, which can also be downloaded as an .ipynb file and run locally: [hnn-workshop-materials](https://colab.research.google.com/drive/1CvNTB_puonJiVvHmFhKhrr_CjmrfbgVB?usp=sharing)
 
 # Preferred Installation Method: Google CoLab