Update the data source for NGFS phase 3

Author: danielhuppmann

README.md

@@ -22,19 +22,27 @@ which was part of the *Climate Risks Academy 2021* organized by
 the European University Institute (EUI) Florence School of Banking and Finance
 in cooperation with Oliver Wyman.
 
+The **slides for the related presentation** are available
+at https://doi.org/10.5281/zenodo.8112529 (ZENODO).
+
+## Tutorial data source
+
 The scenario data used in this tutorial notebook is taken from
-the [NGFS Scenario Explorer hosted by IIASA](https://data.ece.iiasa.ac.at/ngfs),
-Phase 2 (June 2021).
+the **NGFS Scenario Ensemble**, Phase 3, see Richters et al, 2022 ([link](https://www.ngfs.net/sites/default/files/medias/documents/ngfs_climate_scenarios_for_central_banks_and_supervisors_.pdf.pdf)).  
 
-The slides for the related presentation are available
-at [pure.iiasa.ac.at/id/eprint/17783/](https://pure.iiasa.ac.at/id/eprint/17783/).
+The data was downloaded from the following scenario database:
+> **Emissions scenario database of the European Scientific Advisory Board on Climate Change, hosted by IIASA**  
+> Release 2.0  
+> European Scientific Advisory Board on Climate Change, 2023  
+> doi: 	https://doi.org/10.5281/zenodo.7660150  
+> url: 	https://data.ece.iiasa.ac.at/eu-climate-advisory-board  
 
 ## The pyam package
 
 <img src="https://github.com/IAMconsortium/pyam/raw/main/docs/logos/pyam-logo.png" 
 width="133" height="100" align="right" alt="pyam logo" />
 
-This exercise uses the Python package **pyam**, an open-source community toolbox for
+This tutorial uses the Python package **pyam**, an open-source community toolbox for
 analysis & visualization of scenario data.
 The package was developed to facilitate working with timeseries scenario data
 conforming to the format developed by the

data/ngfs_data_snapshot.xlsx

@@ -1,6 +1,7 @@
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  "cells": [
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+   "attachments": {},
    "cell_type": "markdown",
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@@ -25,18 +26,26 @@
     "([link](https://www.engage-climate.org/navigate-engage-summer-school-2023/)).\n",
     "\n",
     "The slides for the related presentation are available\n",
-    "at [pure.iiasa.ac.at/id/eprint/17783/](https://pure.iiasa.ac.at/id/eprint/17783/).\n",
+    "at https://doi.org/10.5281/zenodo.8112529 (ZENODO).\n",
     "\n",
     "This tutorial is based on the advanced assignment\n",
     "of the [Modelling Lab](https://github.com/danielhuppmann/climate-risks-academy-2021),\n",
     "which was part of the *Climate Risks Academy 2021* organized by\n",
     "the European University Institute (EUI) Florence School of Banking and Finance\n",
     "in cooperation with Oliver Wyman.\n",
     "\n",
+    "### Tutorial data source\n",
+    "\n",
     "The scenario data used in this tutorial notebook is taken from\n",
-    "the [NGFS Scenario Explorer hosted by IIASA](https://data.ece.iiasa.ac.at/ngfs),\n",
-    "Phase 2 (June 2021).\n",
+    "the **NGFS Scenario Ensemble**, Phase 3,  \n",
+    "see Richters et al, 2022 ([link](https://www.ngfs.net/sites/default/files/medias/documents/ngfs_climate_scenarios_for_central_banks_and_supervisors_.pdf.pdf)).\n",
     "\n",
+    "The data was downloaded from the following scenario database:\n",
+    "> **Emissions scenario database of the European Scientific Advisory Board on Climate Change, hosted by IIASA**  \n",
+    "> Release 2.0  \n",
+    "> European Scientific Advisory Board on Climate Change, 2023  \n",
+    "> doi: \thttps://doi.org/10.5281/zenodo.7660150  \n",
+    "> url: \thttps://data.ece.iiasa.ac.at/eu-climate-advisory-board  \n",
     "\n",
     "### Read the docs\n",
     "\n",