execute binder

Author: MartinSchobben

README.md

@@ -6,68 +6,68 @@
 [![Binder](https://binder.projectpythia.org/badge_logo.svg)](https://binder.projectpythia.org/v2/gh/TUW-GEO/eo-datascience-cookbook/main?labpath=notebooks)
 [![DOI](https://zenodo.org/badge/830421828.svg)](https://zenodo.org/badge/latestdoi/830421828)
 
-This Project Pythia Cookbook covers a range of Earth observation examples employing 
-the Pangeo philosophy. The examples represent the main research lines and BSc/MSc 
-courses at the Department of Geodesy and Geoinformation at the TU Wien (Austria). 
-The department has strong ties with the EODC (Earth Observation Data Centre For 
-Water Resources Monitoring), which hosts e.g., analysis-ready Sentinel-1 
-(imaging radar mission) data, and has the computational resources to process 
+This Project Pythia Cookbook covers a range of Earth observation examples employing
+the Pangeo philosophy. The examples represent the main research lines and BSc/MSc
+courses at the Department of Geodesy and Geoinformation at the TU Wien (Austria).
+The department has strong ties with the EODC (Earth Observation Data Centre For
+Water Resources Monitoring), which hosts e.g., analysis-ready Sentinel-1
+(imaging radar mission) data, and has the computational resources to process
 large data volumes.
 
 ## Motivation
 
-The motivation behind this book is to provide examples of Pangeo-based workflows 
-applied to realistic examples in Earth observation data science. Creating an 
-effective learning environment for Earth observation students is a challenging 
-task due to the rapidly growing volume of remotely sensed, climate, and other 
-Earth observation data, along with the evolving demands from the tech industry. 
-Today's Earth observation students are increasingly becoming a blend of traditional 
-Earth system scientists and "big data scientists", with expertise spanning computer 
-architectures, programming paradigms, statistics, and machine learning for 
-predictive modeling. As a result, it is essential to equip educators with the 
-proper tools for instruction, including training materials, access to data, and 
+The motivation behind this book is to provide examples of Pangeo-based workflows
+applied to realistic examples in Earth observation data science. Creating an
+effective learning environment for Earth observation students is a challenging
+task due to the rapidly growing volume of remotely sensed, climate, and other
+Earth observation data, along with the evolving demands from the tech industry.
+Today's Earth observation students are increasingly becoming a blend of traditional
+Earth system scientists and "big data scientists", with expertise spanning computer
+architectures, programming paradigms, statistics, and machine learning for
+predictive modeling. As a result, it is essential to equip educators with the
+proper tools for instruction, including training materials, access to data, and
 the necessary skills to support scalable and reproducible research.
 
 ## Authors
 
-[Wolfgang Wagner](@wagner-wolfgang), [Martin Schobben](@martinschobben), 
-[Nikolas Pikall](@npikall), [Joseph Wagner](@wagnerjoseph), [Davide Festa](@maybedave), 
+[Wolfgang Wagner](@wagner-wolfgang), [Martin Schobben](@martinschobben),
+[Nikolas Pikall](@npikall), [Joseph Wagner](@wagnerjoseph), [Davide Festa](@maybedave),
 [Felix David Reuß](@FelixReuss), [Luka Jovic](@lukojovic)
 
 ### Contributors
 
 <a href="https://github.com/TUW-GEO/eo-datascience-cookbook/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=TUW-GEO/eo-datascience-cookbook" />
+  <img src="https://contrib.rocks/image?repo=ProjectPythia/eo-datascience-cookbook" />
 </a>
 
 ## Structure
 
-This book comprises examples of data science concerning Earth Observation (EO) data, 
-including course material on remote sensing and data products produced by the TU 
-Wien. It also serves to showcase the data and services offered by the EODC, including 
-a [STAC](https://docs.eodc.eu/services/stac.html) catalogue and a 
+This book comprises examples of data science concerning Earth Observation (EO) data,
+including course material on remote sensing and data products produced by the TU
+Wien. It also serves to showcase the data and services offered by the EODC, including
+a [STAC](https://docs.eodc.eu/services/stac.html) catalogue and a
 [Dask Gateway](https://docs.eodc.eu/services/dask.html) for distributed data processing.
 
 ### Courses
 
-This section offers an overview of notebooks, which are used in **courses** from 
+This section offers an overview of notebooks, which are used in **courses** from
 the Department of Geodesy and Geoinformation at TU Wien.
 
 ### Templates
 
-This section provides a collection of general **examples** of earth observation 
-related tasks and workflows, which are not directly related to a specific course 
+This section provides a collection of general **examples** of earth observation
+related tasks and workflows, which are not directly related to a specific course
 or product.
 
 ### Tutorials
 
-In this section you will find a collection of lessons, which explain certain 
-**products** or methods that have been developed at the Department of Geodesy and 
+In this section you will find a collection of lessons, which explain certain
+**products** or methods that have been developed at the Department of Geodesy and
 Geoinformation at TU Wien.
 
 ## Running the Notebooks
 
-You can either run the notebook using [Binder](https://binder.eo-datascience-cookbook.org/) 
+You can either run the notebook using [Binder](https://binder.eo-datascience-cookbook.org/)
 or on your local machine.
 
 ### Running on Binder
@@ -89,7 +89,7 @@ Jupyter](https://foundations.projectpythia.org/foundations/getting-started-jupyt
 
 ### Running on Your Own Machine
 
-If you are interested in running this material locally on your computer, you will 
+If you are interested in running this material locally on your computer, you will
 need to follow this workflow:
 
 1. Clone the `https://github.com/TUW-GEO/eo-datascience-cookbook` repository:

_config.yml

@@ -11,7 +11,7 @@ bibtex_bibfiles:
 
 execute:
   # To execute notebooks via a Binder instead, replace 'cache' with 'binder'
-  execute_notebooks: cache
+  execute_notebooks: binder
   timeout: 600
   allow_errors: False # cells with expected failures must set the `raises-exception` cell tag