docs: update welcome page video

Author: Hem-W

docs/source/_static/images/dominosee_banner.jpg

@@ -44,7 +44,7 @@
 
 # The master toctree document
 master_doc = 'index'
-html_title = "DOMINO-SEE Official Documentation"
+html_title = "DOMINO-SEE Documentation"
 
 # List of patterns to exclude from source
 exclude_patterns = ['_build', '**.ipynb_checkpoints']

docs/source/conf.py

@@ -8,10 +8,10 @@ Welcome to DOMINO-SEE
 
 **DOMINO-SEE** is a framework for **D**\etection **O**\f **M**\ulti-layer **IN**\terconnected **N**\etwork **O**\ccurrences for **S**\patial **E**\xtreme **E**\vents, leveraging event coincidences analysis and complex networks. It is built using `xarray <https://xarray.pydata.org/en/stable/>`_ and can seamlessly benefit from the parallelization handling provided by `dask <https://dask.org/>`_. Its objective is to make it as simple as possible for users to construct event-based climate network analysis workflows.
 
-.. video:: https://github.com/PREP-NexT/DOMINO-SEE/releases/download/0.0.1-alpha/DOMINO-SEE.Logo.Animation.Crop.mp4
+.. video:: https://github.com/PREP-NexT/DOMINO-SEE/releases/download/0.0.1-alpha/DOMINO-SEE.wBanner.zip.mp4
    :align: center
-   :width: 600px
-   :poster: ./_static/images/dominosee_logo_video_layout.svg
+   :width: 100%
+   :poster: ./_static/images/dominosee_banner.jpg
    :alt: DOMINO-SEE introduction video
 
 The name **DOMINO-SEE** represents our approach to detecting and analyzing interconnected occurrences of hydroclimatic extreme events across spatial locations, inspired by the cascade effect of **DOMINO**\es falling in a chain reaction. The **SEE** highlights the framework's ability to capture the spatial synchronization and propagation of extreme events, emphasizing the interconnectedness inherent in complex environmental systems.
@@ -56,6 +56,11 @@ Key Features
 - **Multi-dimensional and Parallel Support**: Native support for ``xarray`` DataArrays to handle multi-dimensional gridded climate data
 - **Parallel Processing**: ``dask`` integration for efficient processing of large-scale climate datasets
 
+.. toctree::
+   :hidden:
+
+   self
+
 .. toctree::
    :maxdepth: 1
    :hidden: