added note about shared data unavailability

Author: JessicaS11

notebooks/Science Data Generation.ipynb

@@ -13,13 +13,16 @@
     "\n",
     "In this tutorial we will present an easy processing flow to generate gridded altimetry time series of elevation change based on the captoolkit software. We will then use these results to produce estimates mass balance for Pine Island Glacier. Its should be noted that this processing flow works equally well for other altimetry missions as well, both space- and airborne.\n",
     "\n",
-    "## Tutorial preparation\n",
+    "## Tutorial preparation (during the live event)\n",
     "\n",
     "1. Log on to the event Jupyterhub: https://icesat-2.hackweek.io\n",
     "2. Open a terminal in Jupyterlab\n",
     "3. Clone repo: git clone https://github.com/ICESAT-2HackWeek/ScienceDataGeneration.git\n",
     "4. Enter the directory and open the notebook\n",
     "\n",
+    "## Tutorial preparation and running (after the event)\n",
+    "This tutorial originally used data that was provided to workshop participants on a shared drive which is no longer available. Thus, in order to run this tutorial notebook you will need to obtain data and modify the paths within this notebook to point at wherever you have stored that data. An easy way to download data would be to use the [icepyx](https://icepyx.readthedocs.io/en/latest/) Python library, as demonstrated in the [data access tutorials](https://github.com/ICESAT-2HackWeek/data-access), with the data parameters described below.\n",
+    "\n",
     "## Introduction\n",
     "\n",
     "In many aspects of Earth Science gridded datasets plays an important role for understanding and extracting geophysical signals in both space and time. \n",
@@ -40,7 +43,7 @@
     "- Tuneing of parameters obtain good results \n",
     "- Gridding and filtering off different geophysical entities\n",
     "\n",
-    "![is_dhdt.jpeg](is_dhdt.jpeg \"Figure of Eleavtion Change from ICESat\")\n",
+    "![is_dhdt.jpeg](is_dhdt.jpeg \"Figure of Elevation Change from ICESat\")\n",
     "[ Image credit: Johan Nilsson (JPL) ]\n",
     "\n",
     "## Data products and general approach\n",
@@ -1313,9 +1316,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.7.6"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }