diff --git a/content/notebooks/measuring_galaxy_shapes/measuring_galaxy_shapes.ipynb b/content/notebooks/measuring_galaxy_shapes/measuring_galaxy_shapes.ipynb
index 7c0bd69..299fbd8 100644
--- a/content/notebooks/measuring_galaxy_shapes/measuring_galaxy_shapes.ipynb
+++ b/content/notebooks/measuring_galaxy_shapes/measuring_galaxy_shapes.ipynb
@@ -266,6 +266,25 @@
     "plt.imshow(psf_img.array, norm=LogNorm())"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "By default the PSF is generated for SCA 01 at `(x, y)` 2048, 2048 in the science coordinate system (more information about coordinate systems in RDox: https://roman-docs.stsci.edu/simulation-tools-handbook-home/simulation-development-utilities/pysiaf-for-roman). \n",
+    "\n",
+    "These attributes can be confirmed and modified via the `nc.detector` and `nc.detector_position` methods."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(nc.detector)\n",
+    "print(nc.detector_position)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -595,9 +614,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Roman Calibration latest (2024-03-25)",
    "language": "python",
-   "name": "python3"
+   "name": "roman-cal"
   },
   "language_info": {
    "codemirror_mode": {
diff --git a/content/notebooks/working_with_asdf/working_with_asdf.ipynb b/content/notebooks/working_with_asdf/working_with_asdf.ipynb
index 81578d5..5a2d64f 100644
--- a/content/notebooks/working_with_asdf/working_with_asdf.ipynb
+++ b/content/notebooks/working_with_asdf/working_with_asdf.ipynb
@@ -80,7 +80,15 @@
     "\n",
     "The main goal of this notebook is to illustrate how to open and handle Roman Wide Field Instrument (WFI) data. WFI data are stored in [Advanced Scientific Data Format (ASDF)](https://asdf-standard.readthedocs.io/) files, which combine human-readable hierarchical metadata structure with binary array data. ASDF files are self-validating using pre-defined schema.\n",
     "\n",
-    "There are tools to interact with ASDF files in Python, Julia, C/C++, and IDL. In this example we focus on the Python interface."
+    "There are tools to interact with ASDF files in Python, Julia, C/C++, and IDL. In this example we focus on the Python interface.\n",
+    "\n",
+    "Roman ASDF files can be opened and manipulated using two main approaches: 1. Using the `roman_datamodels` library, and 2. using the `asdf` library.\n",
+    "\n",
+    "Both approaches should allow accessing the full data. Using `roman_datamodels` has as an advantage that the different data blocks are loaded as `stnode`-based objects, and gives us access to their methods. The `asdf` library, on the other hand, loads the data blocks as they were serialized in disk, which loses some of the `roman_datamodels` capabilities, but can allow more flexibility. We illustrate the two approaches in this notebook, and start showcasing loading via `roman_datamodels`.\n",
+    "\n",
+    "Additional information about ASDF in the context of Roman can be found in RDox: https://roman-docs.stsci.edu/data-handbook-home/wfi-data-format.\n",
+    "\n",
+    "**Note**: This notebook assumes familiarity with Python, Python dictionaries, and Jupyter notebooks, as well as some basic familiarity with `matplotlib`, `numpy`, and `astropy`. "
    ]
   },
   {
@@ -136,7 +144,14 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "f.info()"
+    "f.info(max_rows=30)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We have limited the number of rows printed to 30, but if you want to see all rows, you can change that number to your liking or to `None` in order to see all nodes."
    ]
   },
   {
@@ -156,7 +171,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "f.keys()"
+    "pprint(f.keys())"
    ]
   },
   {
@@ -430,7 +445,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Another feature in WFI ASDF metadata is the storage of times as `astropy.time.Time` objects, which provide numerous convenient methods for converting to different reference systems and formats. We illustrate here a few examples and for a more comprehensive view of `astropy.time` please check the documentation [here](https://docs.astropy.org/en/stable/time/)."
+    "Another feature in WFI ASDF metadata is the storage of times as `astropy.time.Time` objects, which provide numerous convenient methods for converting to different reference systems and formats. We illustrate here a few examples and for a more comprehensive view of `astropy.time` please check the documentation in https://docs.astropy.org/en/stable/time/."
    ]
   },
   {
@@ -817,9 +832,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Roman Calibration latest (2024-03-25)",
    "language": "python",
-   "name": "python3"
+   "name": "roman-cal"
   },
   "language_info": {
    "codemirror_mode": {