small edits to suit different setups

Author: j-atkins

docs/user-guide/tutorials/ADCP_transects.ipynb

@@ -25,7 +25,11 @@
     "\n",
     "#### Imports\n",
     "\n",
-    "The first step is to import the Python packages required for post-processing the data and plotting. "
+    "The first step is to import the Python packages required for post-processing the data and plotting. \n",
+    "\n",
+    "<div class=\"alert alert-block alert-success\"> \n",
+    "<b>Tip:</b> You may need to set the Kernel to the relevant (Conda) environment in the top right of this notebook to access the required packages! \n",
+    "</div>\n"
    ]
   },
   {
@@ -54,7 +58,7 @@
     "Next, you should set `data_dir` to be the path to your expedition results in the code block below. You should replace `\"/path/to/EXPEDITION/results/\"` with the path for your machine.\n",
     "\n",
     "<div class=\"alert alert-block alert-success\"> \n",
-    "<b>Tip:</b> You can get the path to your expedition results by navigating to to the folder in Terminal (using `cd`) and then using the `pwd` command. This will print your working directory which you can copy to the `data_dir` variable in this notebook. Don't forget to keep it as a string (in \"quotation\" marks)!\n",
+    "<b>Tip:</b> You can get the path to your expedition results by navigating to the `results` folder in Terminal (using `cd`) and then using the `pwd` command. This will print your working directory which you can copy to the `data_dir` variable in this notebook. Don't forget to keep it as a string (in \"quotation\" marks)!\n",
     "</div>\n",
     "\n"
    ]
@@ -104,7 +108,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "id": "0aa1f8f4",
    "metadata": {},
    "outputs": [],
@@ -185,11 +189,7 @@
     "<b>Note:</b> The plots produced next are a starting point for your analysis. You are encouraged to make adjustments, for example axis limits and scaling if the defaults not best suited to your specific data. Use your preferred AI coding assistant for help!\n",
     "</div>\n",
     "\n",
-    "We are now ready to plot our transect data. We will use distance from the start of the transect/expedition for the x-axis, and water column depth for the y-axis. The ADCP data will then be plotted according to the colour map for diagnostic. The profiles across the transect are likely to be different depths because some parts of the ocean are of course shallower than others.\n",
-    "\n",
-    "<div class=\"alert alert-block alert-success\"> \n",
-    "<b>Tip:</b> Press the \"Expand Image\" button in the top right of the resultant plot to explore the plot in greater detail in a separate tab. Or the \"Save As\" button to save a copy of the image.\n",
-    "</div>"
+    "We are now ready to plot our transect data. We will use distance from the start of the transect/expedition for the x-axis, and water column depth for the y-axis. The ADCP data will then be plotted according to the colour map for diagnostic. The profiles across the transect are likely to be different depths because some parts of the ocean are of course shallower than others."
    ]
   },
   {

docs/user-guide/tutorials/CTD_transects.ipynb

@@ -27,7 +27,11 @@
     "\n",
     "#### Imports\n",
     "\n",
-    "The first step is to import the Python packages required for post-processing the data and plotting. "
+    "The first step is to import the Python packages required for post-processing the data and plotting. \n",
+    "\n",
+    "<div class=\"alert alert-block alert-success\"> \n",
+    "<b>Tip:</b> You may need to set the Kernel to the relevant (Conda) environment in the top right of this notebook to access the required packages! \n",
+    "</div>"
    ]
   },
   {
@@ -56,8 +60,9 @@
     "Next, you should set `data_dir` to be the path to your expedition results in the code block below. You should replace `\"/path/to/EXPEDITION/results/\"` with the path for your machine.\n",
     "\n",
     "<div class=\"alert alert-block alert-success\"> \n",
-    "<b>Tip:</b> You can get the path to your expedition results by navigating to to the folder in Terminal (using `cd`) and then using the `pwd` command. This will print your working directory which you can copy to the `data_dir` variable in this notebook. Don't forget to keep it as a string (in \"quotation\" marks)!\n",
-    "</div>"
+    "<b>Tip:</b> You can get the path to your expedition results by navigating to the `results` folder in Terminal (using `cd`) and then using the `pwd` command. This will print your working directory which you can copy to the `data_dir` variable in this notebook. Don't forget to keep it as a string (in \"quotation\" marks)!\n",
+    "</div>\n",
+    "\n"
    ]
   },
   {
@@ -354,11 +359,7 @@
     "\n",
     "We are now ready to plot our transect data. We will use distance from the first waypoint/CTD cast for the x-axis, and water column depth for the y-axis. The data for the chosen variable will then be plotted according to the colour map. The CTD casts are likely to be different depths because some parts of the ocean are of course shallower than others.\n",
     "\n",
-    "There are a few extra steps below which arrange the CTD casts into regular distance bins, so as to clearly demonstrate where along the transect we made CTD casts and indeed where there are gaps.\n",
-    "\n",
-    "<div class=\"alert alert-block alert-success\"> \n",
-    "<b>Tip:</b> Press the \"Expand Image\" button in the top right of the resultant plot to explore the plot in greater detail in a separate tab. Or the \"Save As\" button to save a copy of the image.\n",
-    "</div>"
+    "There are a few extra steps below which arrange the CTD casts into regular distance bins, so as to clearly demonstrate where along the transect we made CTD casts and indeed where there are gaps.\n"
    ]
   },
   {