diff --git a/website/docs/Deprecated/01-DeprecatedDocs.md b/website/docs/Deprecated/01-DeprecatedDocs.md
index 2ff5f2e10..271fa7815 100644
--- a/website/docs/Deprecated/01-DeprecatedDocs.md
+++ b/website/docs/Deprecated/01-DeprecatedDocs.md
@@ -16,6 +16,7 @@ Deprecated Hardware:
 - [Myoware v1.0 Cyton Integration](Deprecated/14-MyoWare_Integration.md)
 - [Myoware v1.0 Ganglion Integration](Deprecated/15-MyoWare_Integration_Ganglion.md)
 - [WiFi Shield](Deprecated/WiFiShield/Wifi.md)
+- [IDUN Dryode](Deprecated/16-Dryode_Guide.md)
 
 Deprecated Software:
 
diff --git a/website/docs/ThirdParty/IDUN_Dryode/Dryode_Guide.md b/website/docs/Deprecated/16-Dryode_Guide.md
similarity index 65%
rename from website/docs/ThirdParty/IDUN_Dryode/Dryode_Guide.md
rename to website/docs/Deprecated/16-Dryode_Guide.md
index 9768d7d2d..4b705148d 100644
--- a/website/docs/ThirdParty/IDUN_Dryode/Dryode_Guide.md
+++ b/website/docs/Deprecated/16-Dryode_Guide.md
@@ -1,12 +1,14 @@
 ---
-id: Dryode
+id: DeprecatedDryode
 title: "IDUN Dryode"
 ---
 
-### Overview
+:::note
+**THIS HARDWARE VERSION HAS BEEN DEPRECATED AND IS NO LONGER IN PRODUCTION.**
+:::
 
-We are very excited to work with IDUN Technologies to offer this affordable, high-quality biosensing kit to our community.
+The Dryode™ has been discontinued and is no longer available for sale. This document remains active for legacy support and reference.
 
-The Dryode™ offers waterproof, research-grade signal quality with the ease of a consumer product. This state-of-the-art flexible dry electrode is designed for biopotential data acquisition (ECG, EMG, and EEG). It can be connected to the OpenBCI [Cyton](https://shop.openbci.com/collections/frontpage/products/cyton-biosensing-board-8-channel), [CytonDaisy](https://shop.openbci.com/collections/frontpage/products/cyton-daisy-biosensing-boards-16-channel), or [Ganglion board](https://shop.openbci.com/collections/frontpage/products/ganglion-board) using OpenBCI [snap electrode cables](https://shop.openbci.com/collections/frontpage/products/emg-ecg-snap-electrode-cables), and is also compatible with most standard snap electrode cables.
+### Overview
 
-Head over to the [EMG Getting Started Guide](GettingStarted/Biosensing-Setups/02-EMG-Setup.md) to learn how to connect the EMG setup!
+The Dryode™ offers waterproof, research-grade signal quality with the ease of a consumer product. This state-of-the-art flexible dry electrode is designed for biopotential data acquisition (ECG, EMG, and EEG). It can be connected to the OpenBCI [Cyton](https://shop.openbci.com/collections/frontpage/products/cyton-biosensing-board-8-channel), [CytonDaisy](https://shop.openbci.com/collections/frontpage/products/cyton-daisy-biosensing-boards-16-channel), or [Ganglion board](https://shop.openbci.com/collections/frontpage/products/ganglion-board) using OpenBCI [snap electrode cables](https://shop.openbci.com/collections/frontpage/products/emg-ecg-snap-electrode-cables), and is also compatible with most standard snap electrode cables. These Dryodes are used in the same way as, and as a replacement for, standard gel-based snap electrodes.
\ No newline at end of file
diff --git a/website/docs/Examples/EMGProjects/01-EMG_Scrolling.md b/website/docs/Examples/EMGProjects/01-EMG_Scrolling.md
index a8939ec0b..a99f10032 100644
--- a/website/docs/Examples/EMGProjects/01-EMG_Scrolling.md
+++ b/website/docs/Examples/EMGProjects/01-EMG_Scrolling.md
@@ -14,7 +14,7 @@ The following instructions are written for use with Windows 10.
 ## Materials Required
 
 1.  OpenBCI [Cyton Board](https://shop.openbci.com/collections/frontpage/products/cyton-biosensing-board-8-channel?variant=38958638542)
-2.  [Solid Gel Electrodes](https://shop.openbci.com/products/kendall-emg-ecg-foam-solid-gel-electrodes-50-pack) or [IDUN Dryode](https://shop.openbci.com/collections/frontpage/products/idun-dryode-kit)
+2.  [Solid Gel Electrodes](https://shop.openbci.com/products/kendall-emg-ecg-foam-solid-gel-electrodes-50-pack)
 3.  [EMG/ECG Snap Electrode Cables](https://shop.openbci.com/collections/frontpage/products/emg-ecg-snap-electrode-cables?variant=32372786958)
 4.  Computer with downloaded OpenBCI [GUI](../../Software/OpenBCISoftware/01-OpenBCI_GUI.md)
 
diff --git a/website/docs/Examples/EMGProjects/02-EMG_Controlled_Music.md b/website/docs/Examples/EMGProjects/02-EMG_Controlled_Music.md
index 5c2a79d40..1a77e7d69 100644
--- a/website/docs/Examples/EMGProjects/02-EMG_Controlled_Music.md
+++ b/website/docs/Examples/EMGProjects/02-EMG_Controlled_Music.md
@@ -14,7 +14,7 @@ The following instructions are written for use with Windows 10.
 ## Materials Required
 
 1.  OpenBCI [Cyton Board](https://shop.openbci.com/collections/frontpage/products/cyton-biosensing-board-8-channel?variant=38958638542)
-2.  [Solid Gel Electrodes](https://shop.openbci.com/products/kendall-emg-ecg-foam-solid-gel-electrodes-50-pack) or [IDUN Dryode](https://shop.openbci.com/collections/frontpage/products/idun-dryode-kit)
+2.  [Solid Gel Electrodes](https://shop.openbci.com/products/kendall-emg-ecg-foam-solid-gel-electrodes-50-pack)
 3.  [EMG/ECG Snap Electrode Cables](https://shop.openbci.com/collections/frontpage/products/emg-ecg-snap-electrode-cables?variant=32372786958)
 4.  Computer with downloaded OpenBCI [GUI](../../Software/OpenBCISoftware/01-OpenBCI_GUI.md)
 
diff --git a/website/docs/Examples/EMGProjects/05-EMG_Chrome_Dino_Game.md b/website/docs/Examples/EMGProjects/05-EMG_Chrome_Dino_Game.md
index 8635f2e52..c815fecb0 100644
--- a/website/docs/Examples/EMGProjects/05-EMG_Chrome_Dino_Game.md
+++ b/website/docs/Examples/EMGProjects/05-EMG_Chrome_Dino_Game.md
@@ -1,51 +1,51 @@
----
-id: EMG_Chrome_Dino_Game
-title: EMG Chrome Dino Game
----
-In this tutorial we will show you how to play the Google Chrome Dinosaur Game without touching your laptop. To do that, we will read EMG data from your arm muscles and find the peaks which correspond to flexing, using them to trigger a jump of the dinosaur.
-
-Check out an example video of this tutorial being put into action!
-
-![EMGdinogif](https://media.giphy.com/media/Iyxb0WAiUUvffbg3mV/giphy.gif)
-
-The following instructions have been written for use with Linux 16.04.
-
-## Materials Required
-
-1.  OpenBCI [Cyton Board](https://shop.openbci.com/collections/frontpage/products/cyton-biosensing-board-8-channel?variant=38958638542)
-2.  [Solid Gel Electrodes](https://shop.openbci.com/products/kendall-emg-ecg-foam-solid-gel-electrodes-50-pack) or [IDUN Dryodes](https://shop.openbci.com/collections/frontpage/products/idun-dryode-kit)
-3.  [EMG/ECG Snap Electrode Cables](https://shop.openbci.com/collections/frontpage/products/emg-ecg-snap-electrode-cables?variant=32372786958)
-4.  Computer with downloaded OpenBCI [GUI](Software/OpenBCISoftware/01-OpenBCI_GUI.md)
-
-## Step 1: Hardware Assembly.
-
-Follow the EMG Getting Started [tutorial](GettingStarted/Biosensing-Setups/02-EMG-Setup.md) on this link to connect the electrodes to your body and the Cyton board, and read data from it using the OpenBCI GUI. For this tutorial, you will need to connect one of your arms to Channel 1 and Ground.
-
-## Step 2: Software Setup.
-
-Install Python version 2 or 3. [Here](https://www.geeksforgeeks.org/how-to-download-and-install-python-latest-version-on-linux/) is a useful tutorial to find out if Python is already installed on your computer and to install it. To use this program, you need the following Python packages installed:
-
--   **pylsl** : use `pip install pylsl` from the command line to install it.
--   **pyautogui** : use `pip install pyautogui` to install it.
--   **brainflow**: use `pip install brainflow`.
--   **numpy**: use `pip install numpy`.
-
-## Step 3: Download and Run the Script.
-
-The Python script will set up the Cyton board, read data from it, and analyze it to detect any spikes that correspond to muscle flexing. If a flex is detected and 100 milliseconds have passed since the last one, it will press the space bar, which will make the dinosaur jump. The threshold for the time between flexes can be modified as needed to avoid debouncing.
-
-In this tutorial, we provide two alternative ways of processing the data to detect the peaks and encourage you to think of your own ways to do it. Get either the `chrome_dino_v1.py` or the `chrome_dino_v2.py` Python script from [here](https://github.com/evaesteban/brainflow/tree/games/games) by cloning the repository or copying the individual code file to a .py script. Once your board is connected, open a terminal and launch the script by running `python <script name> --serial-port /dev/ttyUSB0 --board-id 0` from the folder its stored in.
-
-**Important:** If you are using a serial port other than /dev/ttyUSB0, replace it in the above command.
-
-Once the script has launched, follow the instructions on the terminal. The script `chrome_dino_v1.py` removes the noise from the signal, squares it, and sets a threshold to detect the peaks. The script `chrome_dino_v2.py` denoises the signal and then uses a rolling window with normalization to detect the peaks.
-
-**Important**: If you are using `chrome_dino_v1.py` and the mean value printed out is negative, swap the N and P electrode cables and repeat calibration to get a positive mean.
-
-Next, open a Google Chrome tab and go to the url `chrome://dino`. You do not have to disable your internet to access this free game. Start the game by pressing the spacebar or flexing your arm. Every time you flex, the dinosaur will jump. Since we’re processing raw signals, the threshold might need to be adjusted. If the jump is not getting triggered, play with the value of `flex_thres` by modifying the variable directly in `chrome_dino_v2.py` or the percentage multiplier set to 0.5 in `chrome_dino_v1.py`. You can also modify the time between flexes by changing the parameter `time_thres`.
-
-To learn more about brainflow visit its [GitHub repository](https://github.com/brainflow-dev/brainflow) and its [Documentation](https://brainflow.readthedocs.io/en/stable/).
-
-This is a great example to get started with brainflow. Try it out and send us a video of how you modify this prototype!
-
-**Note**: This tutorial is based on Brainflow 2020. If you experience any issues with the latest versions email us at [contact@openbci.com](mailto:contact@openbci.com).
+---
+id: EMG_Chrome_Dino_Game
+title: EMG Chrome Dino Game
+---
+In this tutorial we will show you how to play the Google Chrome Dinosaur Game without touching your laptop. To do that, we will read EMG data from your arm muscles and find the peaks which correspond to flexing, using them to trigger a jump of the dinosaur.
+
+Check out an example video of this tutorial being put into action!
+
+![EMGdinogif](https://media.giphy.com/media/Iyxb0WAiUUvffbg3mV/giphy.gif)
+
+The following instructions have been written for use with Linux 16.04.
+
+## Materials Required
+
+1.  OpenBCI [Cyton Board](https://shop.openbci.com/collections/frontpage/products/cyton-biosensing-board-8-channel?variant=38958638542)
+2.  [Solid Gel Electrodes](https://shop.openbci.com/products/kendall-emg-ecg-foam-solid-gel-electrodes-50-pack)
+3.  [EMG/ECG Snap Electrode Cables](https://shop.openbci.com/collections/frontpage/products/emg-ecg-snap-electrode-cables?variant=32372786958)
+4.  Computer with downloaded OpenBCI [GUI](Software/OpenBCISoftware/01-OpenBCI_GUI.md)
+
+## Step 1: Hardware Assembly.
+
+Follow the EMG Getting Started [tutorial](GettingStarted/Biosensing-Setups/02-EMG-Setup.md) on this link to connect the electrodes to your body and the Cyton board, and read data from it using the OpenBCI GUI. For this tutorial, you will need to connect one of your arms to Channel 1 and Ground.
+
+## Step 2: Software Setup.
+
+Install Python version 2 or 3. [Here](https://www.geeksforgeeks.org/how-to-download-and-install-python-latest-version-on-linux/) is a useful tutorial to find out if Python is already installed on your computer and to install it. To use this program, you need the following Python packages installed:
+
+-   **pylsl** : use `pip install pylsl` from the command line to install it.
+-   **pyautogui** : use `pip install pyautogui` to install it.
+-   **brainflow**: use `pip install brainflow`.
+-   **numpy**: use `pip install numpy`.
+
+## Step 3: Download and Run the Script.
+
+The Python script will set up the Cyton board, read data from it, and analyze it to detect any spikes that correspond to muscle flexing. If a flex is detected and 100 milliseconds have passed since the last one, it will press the space bar, which will make the dinosaur jump. The threshold for the time between flexes can be modified as needed to avoid debouncing.
+
+In this tutorial, we provide two alternative ways of processing the data to detect the peaks and encourage you to think of your own ways to do it. Get either the `chrome_dino_v1.py` or the `chrome_dino_v2.py` Python script from [here](https://github.com/evaesteban/brainflow/tree/games/games) by cloning the repository or copying the individual code file to a .py script. Once your board is connected, open a terminal and launch the script by running `python <script name> --serial-port /dev/ttyUSB0 --board-id 0` from the folder its stored in.
+
+**Important:** If you are using a serial port other than /dev/ttyUSB0, replace it in the above command.
+
+Once the script has launched, follow the instructions on the terminal. The script `chrome_dino_v1.py` removes the noise from the signal, squares it, and sets a threshold to detect the peaks. The script `chrome_dino_v2.py` denoises the signal and then uses a rolling window with normalization to detect the peaks.
+
+**Important**: If you are using `chrome_dino_v1.py` and the mean value printed out is negative, swap the N and P electrode cables and repeat calibration to get a positive mean.
+
+Next, open a Google Chrome tab and go to the url `chrome://dino`. You do not have to disable your internet to access this free game. Start the game by pressing the spacebar or flexing your arm. Every time you flex, the dinosaur will jump. Since we’re processing raw signals, the threshold might need to be adjusted. If the jump is not getting triggered, play with the value of `flex_thres` by modifying the variable directly in `chrome_dino_v2.py` or the percentage multiplier set to 0.5 in `chrome_dino_v1.py`. You can also modify the time between flexes by changing the parameter `time_thres`.
+
+To learn more about brainflow visit its [GitHub repository](https://github.com/brainflow-dev/brainflow) and its [Documentation](https://brainflow.readthedocs.io/en/stable/).
+
+This is a great example to get started with brainflow. Try it out and send us a video of how you modify this prototype!
+
+**Note**: This tutorial is based on Brainflow 2020. If you experience any issues with the latest versions email us at [contact@openbci.com](mailto:contact@openbci.com).
diff --git a/website/docs/Examples/EMGProjects/EMG_Controlled_Piano.md b/website/docs/Examples/EMGProjects/EMG_Controlled_Piano.md
index 473f184f2..348f0371e 100644
--- a/website/docs/Examples/EMGProjects/EMG_Controlled_Piano.md
+++ b/website/docs/Examples/EMGProjects/EMG_Controlled_Piano.md
@@ -1,56 +1,56 @@
----
-id: EMGpiano
-title: EMG-controlled Piano
----
-
-In this tutorial, we will show you how to play the piano using just the EMG signals from your fingers! To do that, we will read EMG data from the muscles joining your fingers to your arms and find the peaks which correspond to pressing a key on a piano, using them as a trigger to play a virtual keyboard.
-
-Check out an example video of this tutorial being put into action!
-
-[![EMG Piano Tutorial](../../assets/TutorialImages/EMG-piano-full-screen.png)](https://youtu.be/-eaO98mhO5M)
-
-## Materials Required
-
-1.  OpenBCI [Cyton Board](https://shop.openbci.com/collections/frontpage/products/cyton-biosensing-board-8-channel?variant=38958638542)
-2.  [Solid Gel Electrodes](https://shop.openbci.com/products/kendall-emg-ecg-foam-solid-gel-electrodes-50-pack) or [IDUN Dryode](https://shop.openbci.com/collections/frontpage/products/idun-dryode-kit)
-3.  [EMG/ECG Snap Electrode Cables](https://shop.openbci.com/collections/frontpage/products/emg-ecg-snap-electrode-cables?variant=32372786958)
-4.  Computer with downloaded OpenBCI [GUI](Software/OpenBCISoftware/01-OpenBCI_GUI.md)
-
-## Step 1: Hardware Assembly
-
-Follow the EMG Getting Started [tutorial](GettingStarted/Biosensing-Setups/02-EMG-Setup.md) on this link to connect the electrodes to your body and the Cyton board, and read data from it using the OpenBCI GUI. For this tutorial, 4 channels are used: Channel 1 = right pinky, Channel 2 = right pointer, Channel 3 = left pointer, Channel 4 = left pinky. Only one ground is needed.
-
-**Important**: The most complicated part of this tutorial can be finding the right placement for each set of electrodes. The diagram seen below should work well universally, but feel free to mess around with the placement a bit to find where the most prominent flexes occur along your arms.
-
-![Electrode Placement Diagram](../../assets/TutorialImages/EMGdiagram.png)
-
-## Step 2: Software Setup
-
-Download and install [Python](https://www.python.org/downloads/) (either version 2 or 3). Python might already be installed on your computer. Type python --version to check if you have Python version 2 or 3 installed. To use this program, you need the following Python packages installed:
-
-- **pylsl**: use `python -m pip install pylsl` from the Python folder in the command line to install it.
-- **pyautogui** : use `python -m pip install pyautogui` to install.
-
-## Step 3: Stream data using the OpenBCI GUI
-
-Follow the networking [tutorial](Software/OpenBCISoftware/02_GUI_Widget_Guide.md#networking) on this link to learn how to stream data using LSL from the GUI. For this project, you will need to stream the EMG data from Channels 1-4 using the Networking Widget. Your Networking settings should look as follows:
-
-![LSL Networking Widget Screenshot](../../assets/TutorialImages/LSL-ss.png)
-
-**Important**: Make sure your EMG widget is open before you start streaming.
-
-## Step 4: Using a Python Script to Read the Data and Play
-
-The Python script will search for an EMG data stream. Once it finds the stream it will read it and detect any spikes that correspond to finger flex. If a flex is detected and 1 second has passed since the last flex, it will press a certain key, which will play a certain note on a virtual keyboard. The threshold for the time between flexes can be modified as needed to avoid debouncing.
-
-Get the Python script from [here](https://github.com/OpenBCI/OpenBCI_Tutorials/tree/master/EMG_Controlled_Piano) by clicking on ‘Raw’ and copying it to a .py file in your Python folder. Once you’re streaming data from the GUI, go to the Python folder from your command line by using the cd command, and run it using `python <script_name>.py`
-
-Open a virtual keyboard; we used [this one](https://www.onlinepianist.com/virtual-piano). Every time you move one of your fingers, it will play certain notes. By modifying the time_thres, pointer_thres, and pinky_thres parameters in the code, you can adjust the time to wait between finger movements and the strength of each movement to your needs.
-
-**Note:** The pointer finger flex can be slightly weaker, so the script establishes separate thresholds for the pointer fingers and the pinkies.
-
-The script codes for 4 different notes to play, each designated to one finger: G4 = right pinky, E4 = right pointer, D4 = left pointer, C4 = left pinky. To play Mary Had a Little Lamb, use the following guide in terms of Channels:
-
-2 , 3 , 4 , 3 , 2 , 2 , 2 , 3 , 3 , 3 , 2 , 1 , 1 , 2 , 3 , 4 , 3 , 2 , 2 , 2 , 2 , 3 , 3 , 2 , 3 , 4
-
-Try it out and send us a video of your final prototype!
+---
+id: EMGpiano
+title: EMG-controlled Piano
+---
+
+In this tutorial, we will show you how to play the piano using just the EMG signals from your fingers! To do that, we will read EMG data from the muscles joining your fingers to your arms and find the peaks which correspond to pressing a key on a piano, using them as a trigger to play a virtual keyboard.
+
+Check out an example video of this tutorial being put into action!
+
+[![EMG Piano Tutorial](../../assets/TutorialImages/EMG-piano-full-screen.png)](https://youtu.be/-eaO98mhO5M)
+
+## Materials Required
+
+1.  OpenBCI [Cyton Board](https://shop.openbci.com/collections/frontpage/products/cyton-biosensing-board-8-channel?variant=38958638542)
+2.  [Solid Gel Electrodes](https://shop.openbci.com/products/kendall-emg-ecg-foam-solid-gel-electrodes-50-pack)
+3.  [EMG/ECG Snap Electrode Cables](https://shop.openbci.com/collections/frontpage/products/emg-ecg-snap-electrode-cables?variant=32372786958)
+4.  Computer with downloaded OpenBCI [GUI](Software/OpenBCISoftware/01-OpenBCI_GUI.md)
+
+## Step 1: Hardware Assembly
+
+Follow the EMG Getting Started [tutorial](GettingStarted/Biosensing-Setups/02-EMG-Setup.md) on this link to connect the electrodes to your body and the Cyton board, and read data from it using the OpenBCI GUI. For this tutorial, 4 channels are used: Channel 1 = right pinky, Channel 2 = right pointer, Channel 3 = left pointer, Channel 4 = left pinky. Only one ground is needed.
+
+**Important**: The most complicated part of this tutorial can be finding the right placement for each set of electrodes. The diagram seen below should work well universally, but feel free to mess around with the placement a bit to find where the most prominent flexes occur along your arms.
+
+![Electrode Placement Diagram](../../assets/TutorialImages/EMGdiagram.png)
+
+## Step 2: Software Setup
+
+Download and install [Python](https://www.python.org/downloads/) (either version 2 or 3). Python might already be installed on your computer. Type python --version to check if you have Python version 2 or 3 installed. To use this program, you need the following Python packages installed:
+
+- **pylsl**: use `python -m pip install pylsl` from the Python folder in the command line to install it.
+- **pyautogui** : use `python -m pip install pyautogui` to install.
+
+## Step 3: Stream data using the OpenBCI GUI
+
+Follow the networking [tutorial](Software/OpenBCISoftware/02_GUI_Widget_Guide.md#networking) on this link to learn how to stream data using LSL from the GUI. For this project, you will need to stream the EMG data from Channels 1-4 using the Networking Widget. Your Networking settings should look as follows:
+
+![LSL Networking Widget Screenshot](../../assets/TutorialImages/LSL-ss.png)
+
+**Important**: Make sure your EMG widget is open before you start streaming.
+
+## Step 4: Using a Python Script to Read the Data and Play
+
+The Python script will search for an EMG data stream. Once it finds the stream it will read it and detect any spikes that correspond to finger flex. If a flex is detected and 1 second has passed since the last flex, it will press a certain key, which will play a certain note on a virtual keyboard. The threshold for the time between flexes can be modified as needed to avoid debouncing.
+
+Get the Python script from [here](https://github.com/OpenBCI/OpenBCI_Tutorials/tree/master/EMG_Controlled_Piano) by clicking on ‘Raw’ and copying it to a .py file in your Python folder. Once you’re streaming data from the GUI, go to the Python folder from your command line by using the cd command, and run it using `python <script_name>.py`
+
+Open a virtual keyboard; we used [this one](https://www.onlinepianist.com/virtual-piano). Every time you move one of your fingers, it will play certain notes. By modifying the time_thres, pointer_thres, and pinky_thres parameters in the code, you can adjust the time to wait between finger movements and the strength of each movement to your needs.
+
+**Note:** The pointer finger flex can be slightly weaker, so the script establishes separate thresholds for the pointer fingers and the pinkies.
+
+The script codes for 4 different notes to play, each designated to one finger: G4 = right pinky, E4 = right pointer, D4 = left pointer, C4 = left pinky. To play Mary Had a Little Lamb, use the following guide in terms of Channels:
+
+2 , 3 , 4 , 3 , 2 , 2 , 2 , 3 , 3 , 3 , 2 , 1 , 1 , 2 , 3 , 4 , 3 , 2 , 2 , 2 , 2 , 3 , 3 , 2 , 3 , 4
+
+Try it out and send us a video of your final prototype!
diff --git a/website/docs/GettingStarted/Biosensing-Setups/02-EMG-Setup.md b/website/docs/GettingStarted/Biosensing-Setups/02-EMG-Setup.md
index c389ca3e6..d33e1ce98 100644
--- a/website/docs/GettingStarted/Biosensing-Setups/02-EMG-Setup.md
+++ b/website/docs/GettingStarted/Biosensing-Setups/02-EMG-Setup.md
@@ -7,7 +7,7 @@ This document will show you how to read EMG data (electrical signals from muscle
 ## Materials Needed
 
 1.  OpenBCI [Cyton Board](https://shop.openbci.com/collections/frontpage/products/cyton-biosensing-board-8-channel?variant=38958638542) or [Ganglion Board](https://shop.openbci.com/collections/frontpage/products/ganglion-board)
-2.  [Gel-based snap electrodes](https://shop.openbci.com/products/kendall-emg-ecg-foam-solid-gel-electrodes-30-pack) or [IDUN Dryode](https://shop.openbci.com/collections/frontpage/products/idun-dryode-kit)
+2.  [Gel-based snap electrodes](https://shop.openbci.com/products/kendall-emg-ecg-foam-solid-gel-electrodes-30-pack)
 3.  [EMG/ECG Snap Electrode Cables](https://shop.openbci.com/collections/frontpage/products/emg-ecg-snap-electrode-cables?variant=32372786958)
 4.  Computer with downloaded OpenBCI [GUI](../../Software/OpenBCISoftware/01-OpenBCI_GUI.md)
 
@@ -34,7 +34,7 @@ _for reference, "bottom" pins means the row of pins closer to the table when the
 
 In the image above, note how the positive and negative terminals (yellow and green) are connected to the top and bottom N1P pins. When you are running the GUI, data from N1P pins will be displayed on Channel 1 within the [Time Series Widget](../../Software/OpenBCISoftware/02_GUI_Widget_Guide.md#time-series).
 
-After making these pin connections, snap the sticky electrodes (or the [IDUN Dryode](https://shop.openbci.com/collections/frontpage/products/idun-dryode-kit) if you are using that) into the electrode cable _prior to applying the electrodes to the skin._
+After making these pin connections, snap the sticky electrodes into the electrode cable _prior to applying the electrodes to the skin._
 
 **2. Electrode-Muscle Connection**
 
@@ -90,11 +90,11 @@ After you have done this, connect one snap electrode cable to the bottom D_G pin
 
 _for reference, "bottom" pins means the row of pins closer to the table when the board is laid flat._
 
-After making these pin connections, connect one sticky electrode (or the [IDUN Dryode](https://shop.openbci.com/collections/frontpage/products/idun-dryode-kit) if you are using that) to each snap electrode cable _before applying the electrodes to the skin._
+After making these pin connections, connect one sticky electrode to each snap electrode cable _before applying the electrodes to the skin._
 
 **2. Electrode-Muscle Connection**
 
-Choose muscle groups that can be flexed and relaxed easily. Place one sticky electrode (or IDUN Dryode) at the base of the muscle, and the other electrode at the opposite end of the muscle. The order of these doesn’t matter, as long as they are both linked to the same channel number. Place the reference electrode on a bony part of the body with as few muscles as possible (e.g., elbow or kneecap).
+Choose muscle groups that can be flexed and relaxed easily. Place one sticky electrode at the base of the muscle, and the other electrode at the opposite end of the muscle. The order of these doesn’t matter, as long as they are both linked to the same channel number. Place the reference electrode on a bony part of the body with as few muscles as possible (e.g., elbow or kneecap).
 
 Each muscle should have two electrodes: one electrode connected to the Ganglion top pin, one electrode to the Ganglion bottom pin. You can connect up to four muscles to the analog input channels 1 through 4. Thus, nine cables, including the reference electrode, are needed to get 4 channels of EMG data with the Ganglion Board.
 
diff --git a/website/docs/GettingStarted/Biosensing-Setups/04-ExG-Setup.md b/website/docs/GettingStarted/Biosensing-Setups/04-ExG-Setup.md
index 34e6721f4..83fc4623b 100644
--- a/website/docs/GettingStarted/Biosensing-Setups/04-ExG-Setup.md
+++ b/website/docs/GettingStarted/Biosensing-Setups/04-ExG-Setup.md
@@ -58,7 +58,7 @@ Here's a list of material you will need for this tutorial:
     , [Ultracortex Mark III](../../Deprecated/02-Ultracortex-Mark-III-Nova-Revised.md)
     , [Electrode Cap](../../AddOns/Headwear/04-Electrode_Cap_Tutorial.md); we will be using
     the [Headband kit](../../AddOns/Headwear/03-Headband_Tutorial.md) in this tutorial.
-2.  EMG/ECG hardware including [Solid Gel Electrodes](https://shop.openbci.com/products/kendall-emg-ecg-foam-solid-gel-electrodes-50-pack) or [IDUN Dryode](https://shop.openbci.com/collections/frontpage/products/idun-dryode-kit)
+2.  EMG/ECG hardware including [Solid Gel Electrodes](https://shop.openbci.com/products/kendall-emg-ecg-foam-solid-gel-electrodes-50-pack)
     and [EMG/ECG Snap Electrode Cables](https://shop.openbci.com/collections/frontpage/products/emg-ecg-snap-electrode-cables?variant=32372786958)
 3.  OpenBCI [Cyton](https://shop.openbci.com/products/cyton-biosensing-board-8-channel?_pos=1&_sid=77582f260&_ss=r), [Cyton + Daisy](https://shop.openbci.com/collections/frontpage/products/cyton-daisy-biosensing-boards-16-channel?variant=38959256526)
 4.  [Y-Jumper Cable](https://shop.openbci.com/products/y-splitter-cable). This is required only when using a Daisy board with the Cyton and is usually included when you buy a Cyton+Daisy Kit.
diff --git a/website/docs/Software/OpenBCISoftware/NeuroFly_Toolkit.md b/website/docs/Software/OpenBCISoftware/NeuroFly_Toolkit.md
index fa9ebb441..292111813 100644
--- a/website/docs/Software/OpenBCISoftware/NeuroFly_Toolkit.md
+++ b/website/docs/Software/OpenBCISoftware/NeuroFly_Toolkit.md
@@ -8,7 +8,7 @@ This tutorial will show you how to control a joystick using EMG data with the Op
 ## Materials Required
 
 1.  OpenBCI [Cyton Board](https://shop.openbci.com/collections/frontpage/products/cyton-biosensing-board-8-channel?variant=38958638542) or [Ganglion Board](https://shop.openbci.com/products/ganglion-board)
-2.  [Disposable gel electrodes](https://shop.openbci.com/products/kendall-emg-ecg-foam-solid-gel-electrodes-30-pack) or [IDUN Dryode](https://shop.openbci.com/collections/frontpage/products/idun-dryode-kit)
+2.  [Disposable gel electrodes](https://shop.openbci.com/products/kendall-emg-ecg-foam-solid-gel-electrodes-30-pack)
 3.  [EMG/ECG Snap Electrode Cables](https://shop.openbci.com/collections/frontpage/products/emg-ecg-snap-electrode-cables?variant=32372786958)
 4.  Computer with downloaded [OpenBCI GUI](Software/OpenBCISoftware/01-OpenBCI_GUI.md). **Be sure to use [OpenBCI GUI v5.2.0](https://github.com/OpenBCI/OpenBCI_GUI/releases/latest) or later**.
 
diff --git a/website/docs/ThirdParty/ThirdPartyLanding.md b/website/docs/ThirdParty/ThirdPartyLanding.md
index 64037ed32..ebcd71be9 100644
--- a/website/docs/ThirdParty/ThirdPartyLanding.md
+++ b/website/docs/ThirdParty/ThirdPartyLanding.md
@@ -15,10 +15,6 @@ EmotiBit is a wearable sensor module for capturing high-quality emotional, physi
 
 **Tutorial Coming Soon!**
 
-## IDUN Dryode
-
-Introducing research-validated dry electrodes for sampling frontal cortex EEG and facial/body EMG, compatible with OpenBCI boards and standard snap cables.
-
 ## MyoWare
 
 ![myoware](../assets/ThirdPartyImages/myoware.jpg)
diff --git a/website/sidebars.json b/website/sidebars.json
index 1714045ab..3bdd42576 100644
--- a/website/sidebars.json
+++ b/website/sidebars.json
@@ -77,11 +77,6 @@
         "label": "EmotiBit",
         "items": ["ThirdParty/EmotiBit/EmotiBit_Guide"]
       },
-      {
-        "type": "category",
-        "label": "IDUN Dryode",
-        "items": ["ThirdParty/IDUN_Dryode/Dryode"]
-      },
       {
         "type": "category",
         "label": "cEEGrid Kit",
@@ -151,6 +146,7 @@
       "Deprecated/MotorImagery",
       "Deprecated/DeprecatedCytonProgram",
       "Deprecated/DeprecatedDongleProgramming",
+      "Deprecated/DeprecatedDryode",
       {
         "type": "category",
         "label": "WiFi Shield",