diff --git a/tutorial/figures/dashboardlink.png b/tutorial/figures/dashboardlink.png
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diff --git a/tutorial/figures/daskclick.png b/tutorial/figures/daskclick.png
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diff --git a/tutorial/figures/dasklab.png b/tutorial/figures/dasklab.png
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diff --git a/tutorial/part3/scaling_dask.ipynb b/tutorial/part3/scaling_dask.ipynb
index 7fb11c7..f9943d0 100755
--- a/tutorial/part3/scaling_dask.ipynb
+++ b/tutorial/part3/scaling_dask.ipynb
@@ -54,11 +54,11 @@
"## Context\n",
"\n",
"\n",
- "We will be using [Dask](https://docs.dask.org/) with [Xarray](https://docs.xarray.dev/en/stable/) to parallelize our data analysis. The analysis is very similar to what we have done in previous episodes but this time we will use data on a global coverage that we read from a shared catalog (stored online in the Pangeo EOSC Openstack Object Storage).\n",
+ "We will be using [Dask](https://docs.dask.org/) with [Xarray](https://docs.xarray.dev/en/stable/) to parallelize our data analysis. We continue to use the snow index example. \n",
"\n",
"### Data\n",
"\n",
- "In this episode, we will be using Global Long Term Statistics (1999-2019) product provided by the [Copernicus Global Land Service over Lombardia](https://land.copernicus.eu/global/index.html) and access them through [S3-comptabile storage](https://en.wikipedia.org/wiki/Amazon_S3) ([OpenStack Object Storage \"Swift\"](https://wiki.openstack.org/wiki/Swift)) with a data catalog we have created and made publicly available."
+ "In this episode, we will be using xxx"
]
},
{
@@ -264,19 +264,19 @@
"source": [
"### Dask Dashboard\n",
"\n",
- "Dask comes with a really handy interface: the Dask Dashboard. It is a web interface that you can open in a separated tab of your browser (but not with he link above, you've got to use Jupyterlabs proxy: https://pangeo-foss4g.vm.fedcloud.eu/jupyterhub/user/_yourusername_/proxy/8787/status).\n",
+ "Dask comes with a really handy interface: the Dask Dashboard. It is a web interface that you can open in a separated tab of your browser (but not with he link above, you've got to use Jupyterlabs proxy: /user/todaka/proxy/8787/status).\n",
"\n",
"We will learn here how to use it through [dask jupyterlab extension](https://github.com/dask/dask-labextension). \n",
"\n",
- "To use Dask Dashboard through jupyterlab extension on Pangeo EOSC FOSS4G infrastructure,\n",
+ "To use Dask Dashboard through jupyterlab extension on Pangeo EOSC infrastructure,\n",
"you will just need too look at the html link you have for your jupyterlab, and Dask dashboard port number, as highlighted in the figure below.\n",
"\n",
"\n",
"\n",
- "\n",
+ "\n",
"\n",
"Then click the orange icon indicated in the above figure, and type 'your' dashboard link (normally, you just need to replace 'todaka' to 'your username'). \n",
- "\n",
+ "\n",
"\n",
"\n",
"\n",