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+# Sphinx build info version 1
+# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
+config: 07fde6f24fd3ac117a0d1360bb111291
+tags: 645f666f9bcd5a90fca523b33c5a78b7
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+# Agenda
+
+(draft)
+
+- Introduction of Pangeo
+- Xarray, chunks and dask
+- Visualisation with hvplot
+- Scaling
diff --git a/_sources/intro.md b/_sources/intro.md
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+---
+# File metadata may be provided as frontmatter YAML
+title: Big Geospatial Data Hackathon with Open Infrastructure and Tools
+subtitle: GEO-OPEN-HACK-2024
+description: GEO-OPEN-HACK-2024 is a comprehensive and informative event designed for advanced geo-coders to explore various open tools and approaches for upscaling geospatial analysis on open High-Performance Computing (HPC) infrastructure.
+date: 2024-05-28
+authors:
+  - id: annefou
+    name: Anne Fouilloux
+    orcid: 0000-0002-1784-2920
+    corresponding: false
+    roles:
+      - Pangeo
+    affiliations:
+      - simula
+  - id: tinaok
+    name: Tina Erica Odaka
+    orcid: 0000-0002-1500-0156
+    corresponding: false
+    roles:
+      - Pangeo
+    affiliations:
+      - ifremer
+affiliations:
+  - id: simula
+    name: Simula Research Laboratory
+    city: Oslo
+    country: Norway
+    url: https://www.simula.no
+    ror: https://ror.org/00vn06n10
+  - id: ifremer
+    name: IFREMER
+    city: Brest
+    country: France
+    url: https://www.ifremer.fr
+    ror: https://ror.org/044jxhp58
+tags:
+  - pangeo
+  - stac
+  - machine-learning
+thumbnail: images/pangeo-logo.png
+---
+
+#  GEO-OPEN-HACK-2024: Big Geospatial Data Hackathon with Open Infrastructure and Tools
+
++++ {"part":"abstract"}
+
+% The article should include an abstract block at the beginning. The block is delimited by `+++` before and after, and you must specify `"part": "abstract"` as JSON metadata on the block opener. This metadata is required for recognizing the content of this cell as the abstract.
+% The abstract should begin with a short description of the problem addressed, briefly describe the new data or analyses, then briefly state the main conclusion(s) and how they are supported, and address any uncertainty.
+
+This tutorial will provide a comprehensive introduction along with hands-on examples to help you understand how these technologies can be used for Earth science data analysis and interpretation.
+
++++
+
+# Overview
+
+In this tutorial, participants will learn how to 1) navigate the Pangeo ecosystem for scalable Earth Science workflows and 2) exploit Earth Observation (EO) data.
+
+## Tutorial Learning Objectives
+
+By the end of this tutorial, learners will be able to:
+
+- Understand the Pangeo ecosystem
+- Learn to access, load, and analyse data using Xarray, visualising data with Hvplot, and scaling workflows with Dask.
+
+## Prerequisites
+
+Before starting this tutorial, learners should have:
+
+- Good knowledge of Python or another programming language;
+- Good knowledge of geospatial data structures;
+
+## Set up
+
+If you are participating in this training as part of the GEO-OPEN-HACK-2024, you will need to register to [Pangeo@EOSC](https://pangeo-data.github.io/pangeo-eosc/) register yourself following the instructions given at [getting started for users](https://pangeo-data.github.io/geo-open-hack-2024/users-getting-started.html).