diff --git a/README.md b/README.md
index 4962f523e..f0394d563 100644
--- a/README.md
+++ b/README.md
@@ -3,7 +3,7 @@
 
 The vision of the SIMPLE project is to create a *collaborative* database of low-mass stars, brown dwarfs, and directly 
 imaged exoplanets: a simple archive of complex objects. The tables and fields currently included in the 
-database are described in the [Documentation](documentation/README.md) 
+database are described in the [Documentation](docs/README.md) 
 and currently include names, coordinates, photometry and reference and data provenance information and is visualized 
 in the [schema](#simple-database-schema) below. 
 The archive includes kinematics, spectra, modeled and retrieved parameters. 
@@ -20,6 +20,10 @@ If you are not already in the Astropy Slack, [request an account](http://joinsla
 
 To see more details about how this project got started and our initial discussions, check out the [archived running notes in the Wiki](https://github.com/SIMPLE-AstroDB/SIMPLE-db/wiki/Original-Notes).
 
+## Demo Notebooks
+- [Querying the Database](docs/notebooks/Demo_Queries_1.0.ipynb)
+- [Visualizing with the Database](docs/notebooks/Demo_Visualization_1.0.ipynb)
+
 ## Getting Started
 
 If you'd like to set up your own copy of the SIMPLE database, here's what we recommend:
@@ -88,4 +92,4 @@ The schema for the SIMPLE database is described
 in the [Documentation](documentation) and can be found in [`simple/schema.yaml`](simple/schema.yaml).
 
 A graphical representation of the SIMPLE schema:
-<img src="https://github.com/SIMPLE-AstroDB/SIMPLE-db/blob/main/documentation/figures/auto_schema.png?raw=true" width=75%>
+<img src="https://github.com/SIMPLE-AstroDB/SIMPLE-db/blob/main/docs/figures/auto_schema.png?raw=true" width=75%>
diff --git a/docs/README.md b/docs/README.md
index 2747bbc9a..4470c36b6 100644
--- a/docs/README.md
+++ b/docs/README.md
@@ -1,3 +1,7 @@
+# Demo Notebooks
+- [Querying the Database](notebooks/Demo_Queries_1.0.ipynb)
+- [Visualizing with the Database](notebooks/Demo_Visualization_1.0.ipynb)
+
 # Schema Documentation
 This documentation is generated from the [schema.yaml](simple/schema.yaml) file using [build_schema_docs.py](scripts/build_schema_docs.py).
 
@@ -24,4 +28,4 @@ This documentation is generated from the [schema.yaml](simple/schema.yaml) file
 
 ## Schema Diagram
 This diagram is generated from the [schema.yaml](simple/schema.yaml) file using [make_erd.py](scripts/make_erd.py).
-![Schema Diagram](figures/auto_schema.png)
+![Schema Diagram](figures/auto_schema.png)
\ No newline at end of file
diff --git a/docs/notebooks/Demo_Queries_1.0.ipynb b/docs/notebooks/Demo_Queries_1.0.ipynb
new file mode 100644
index 000000000..c5df7ae13
--- /dev/null
+++ b/docs/notebooks/Demo_Queries_1.0.ipynb
@@ -0,0 +1,758 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1ffa299a",
+   "metadata": {},
+   "source": [
+    "# Getting Started with Querying the Database Using Python"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4105070b",
+   "metadata": {},
+   "source": [
+    "## Load in the Database"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f244041f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from astrodb_utils import load_astrodb\n",
+    "from simple import REFERENCE_TABLES\n",
+    "\n",
+    "SCHEMA_PATH = \"../../simple/schema.yaml\" \n",
+    "recreatedb = False #Set to True or False\n",
+    "db = load_astrodb(\n",
+    "     \"../../SIMPLE.sqlite\", \n",
+    "     recreatedb=recreatedb,  \n",
+    "     reference_tables=REFERENCE_TABLES, \n",
+    "     felis_schema=SCHEMA_PATH\n",
+    "     )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7391b753",
+   "metadata": {},
+   "source": [
+    "## Query the Database"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bc978748",
+   "metadata": {},
+   "source": [
+    "### Using Astrodbkit Query Functions"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0ab71b4b",
+   "metadata": {},
+   "source": [
+    "What is Astrodbkit? (Link: https://astrodbkit.readthedocs.io/en/latest/#exploring-the-schema)\n",
+    "AstrodbKit is an astronomical database handler code built on top of SQLAlchemy. We can implement various functions from the python package to query the database in robust ways."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "73179c36",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from astropy.coordinates import SkyCoord  # High-level coordinates\n",
+    "from astropy.coordinates import ICRS, Galactic, FK4, FK5  # Low-level frames\n",
+    "from astropy.coordinates import Angle, Latitude, Longitude  # Angles\n",
+    "import astropy.units as u"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "15f7f93f",
+   "metadata": {},
+   "source": [
+    "Lets check the tables in the database"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "b4fc7b20",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CompanionList\n",
+      "CompanionParameters\n",
+      "Sources\n",
+      "Publications\n",
+      "CompanionRelationships\n",
+      "Gravities\n",
+      "Regimes\n",
+      "Instruments\n",
+      "Telescopes\n",
+      "ModeledParameters\n",
+      "Parameters\n",
+      "Names\n",
+      "Parallaxes\n",
+      "Photometry\n",
+      "PhotometryFilters\n",
+      "ProperMotions\n",
+      "RadialVelocities\n",
+      "RotationalParameters\n",
+      "Spectra\n",
+      "SpectralTypes\n",
+      "Versions\n"
+     ]
+    }
+   ],
+   "source": [
+    "for table in db.metadata.tables:\n",
+    "    print(table)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "22c1a568",
+   "metadata": {},
+   "source": [
+    "Now that we know the tables,lets do a more detailed search into the tables and their content\n",
+    "\n",
+    "Lets look at the first 10 sources available within SIMPLE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "0aaadc2c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><i>Table length=10</i>\n",
+       "<table id=\"table4394421568\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<thead><tr><th>source</th><th>ra</th><th>dec</th><th>epoch</th><th>equinox</th><th>shortname</th><th>reference</th><th>other_references</th><th>comments</th></tr></thead>\n",
+       "<thead><tr><th>str24</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>object</th><th>str11</th><th>object</th><th>object</th></tr></thead>\n",
+       "<tr><td>2MASS J03552014+1439297</td><td>58.83375</td><td>14.658056</td><td>None</td><td>None</td><td>None</td><td>Cruz07</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>1RXS J115928.5-524717</td><td>179.864</td><td>-52.7886</td><td>None</td><td>2000</td><td>None</td><td>Hamb04.265</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>ULAS J114925.58-014343.2</td><td>177.3569</td><td>-1.7287</td><td>None</td><td>2000</td><td>None</td><td>Burn10.1885</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>DENIS-P J1756561-480509</td><td>269.2342</td><td>-48.086</td><td>None</td><td>2000</td><td>None</td><td>Phan08</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>PSO J024.4369+09.1360</td><td>24.4372</td><td>9.1366</td><td>None</td><td>2000</td><td>None</td><td>Skrz16</td><td>None</td><td>Best20 lists discovery as Skrz16; Best20a</td></tr>\n",
+       "<tr><td>SDSS J161420.50+004643.6</td><td>243.585</td><td>0.7785</td><td>None</td><td>2000</td><td>None</td><td>Hawl02</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>SDSS J094903.15+264944.2</td><td>147.2633</td><td>26.8288</td><td>None</td><td>2000</td><td>None</td><td>Schm10.1808</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>SDSS J083717.21-000018.0</td><td>129.3215835</td><td>-0.004972</td><td>None</td><td>None</td><td>0837-0000</td><td>Legg00</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J06080232-2944590</td><td>92.0097</td><td>-29.7497</td><td>None</td><td>2000</td><td>None</td><td>Cruz03</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J09373487+2931409</td><td>144.395292</td><td>29.528028</td><td>None</td><td>None</td><td>0937+2931</td><td>Burg02.421</td><td>None</td><td>None</td></tr>\n",
+       "</table></div>"
+      ],
+      "text/plain": [
+       "<Table length=10>\n",
+       "         source          ...                  comments                \n",
+       "         str24           ...                   object                 \n",
+       "------------------------ ... -----------------------------------------\n",
+       " 2MASS J03552014+1439297 ...                                      None\n",
+       "   1RXS J115928.5-524717 ...                                      None\n",
+       "ULAS J114925.58-014343.2 ...                                      None\n",
+       " DENIS-P J1756561-480509 ...                                      None\n",
+       "   PSO J024.4369+09.1360 ... Best20 lists discovery as Skrz16; Best20a\n",
+       "SDSS J161420.50+004643.6 ...                                      None\n",
+       "SDSS J094903.15+264944.2 ...                                      None\n",
+       "SDSS J083717.21-000018.0 ...                                      None\n",
+       " 2MASS J06080232-2944590 ...                                      None\n",
+       " 2MASS J09373487+2931409 ...                                      None"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "db.query(db.Sources).limit(10).table()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c95de403",
+   "metadata": {},
+   "source": [
+    "Thats a lot of sources! Lets say you just want to find all sources that start with \"WISE\" \n",
+    "We can use the search_object function for this\n",
+    "Search_Object documentation: https://astrodbkit.readthedocs.io/en/latest/#identifier-name-search"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "fd90f00d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using table 'Sources' with columns ['source'] for matching object names\n",
+      "Using table 'Names' with columns ['other_name'] for matching object names\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><i>Table length=3145</i>\n",
+       "<table id=\"table5436189072\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<thead><tr><th>source</th><th>ra</th><th>dec</th><th>epoch</th><th>equinox</th><th>shortname</th><th>reference</th><th>other_references</th><th>comments</th></tr></thead>\n",
+       "<thead><tr><th>str32</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>object</th><th>str11</th><th>object</th><th>object</th></tr></thead>\n",
+       "<tr><td>1RXS J115928.5-524717</td><td>179.864</td><td>-52.7886</td><td>None</td><td>2000</td><td>None</td><td>Hamb04.265</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J00011217+1535355</td><td>0.300708</td><td>15.593194</td><td>None</td><td>None</td><td>0001+1535</td><td>Knap04</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J00034227-2822410</td><td>0.926125</td><td>-28.378056</td><td>None</td><td>None</td><td>0003-2822</td><td>Cruz07</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J00040288-6410358</td><td>1.012</td><td>-64.176611</td><td>None</td><td>None</td><td>0004-6410</td><td>Kirk10</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J00043484-4044058</td><td>1.145166</td><td>-40.734944</td><td>None</td><td>None</td><td>0004-4044BC</td><td>Eros99</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J00044144-2058298</td><td>1.1728</td><td>-20.975</td><td>None</td><td>2000</td><td>None</td><td>Kend07</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J00045753-1709369</td><td>1.2398</td><td>-17.1603</td><td>None</td><td>2000</td><td>None</td><td>Crif05</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J00054844-2157196</td><td>1.4519</td><td>-21.9555</td><td>None</td><td>2000</td><td>None</td><td>Reyl04</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J00070787-2458042</td><td>1.7827917</td><td>-24.967833</td><td>None</td><td>None</td><td>0007-2458</td><td>Reyl04</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
+       "<tr><td>WISEU J013522.46-221957.3</td><td>23.84358333333333</td><td>-22.332583333333332</td><td>None</td><td>None</td><td>None</td><td>Meis20.123</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>WISEU J050305.68-564834.0</td><td>75.77366666666666</td><td>-56.809444444444445</td><td>None</td><td>None</td><td>None</td><td>Meis20.123</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>WISP 030741.12-724357.5</td><td>46.9259</td><td>-72.7311</td><td>None</td><td>2000</td><td>None</td><td>Mast12.14</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>WISP 123242.42-003306.7</td><td>188.1768</td><td>-0.5519</td><td>None</td><td>2000</td><td>None</td><td>Mast12.14</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>Wolf 359</td><td>164.12027</td><td>7.014658</td><td>None</td><td>None</td><td>1056+0700</td><td>Gicl59</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>Wolf 940B</td><td>326.6628</td><td>-0.1776</td><td>None</td><td>2000</td><td>None</td><td>Burn09</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>[BMZ2001] S Ori J053814.5-024512</td><td>84.559125</td><td>-2.7532778</td><td>None</td><td>None</td><td>None</td><td>Missing</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>[HB88] M18</td><td>319.6324</td><td>-45.0979</td><td>None</td><td>2000</td><td>None</td><td>Hawk88</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>[HB88] M20</td><td>322.536</td><td>-44.7745</td><td>None</td><td>2000</td><td>None</td><td>Kirk11</td><td>None</td><td>Best20 lists discovery as Hawk88a; Kirk11</td></tr>\n",
+       "<tr><td>[LDC2013] J160918.68-222923.9</td><td>242.32787</td><td>-22.48992</td><td>None</td><td>None</td><td>1609-2229</td><td>Lodi07.372</td><td>None</td><td>None</td></tr>\n",
+       "</table></div>"
+      ],
+      "text/plain": [
+       "<Table length=3145>\n",
+       "             source              ...                  comments                \n",
+       "             str32               ...                   object                 \n",
+       "-------------------------------- ... -----------------------------------------\n",
+       "           1RXS J115928.5-524717 ...                                      None\n",
+       "         2MASS J00011217+1535355 ...                                      None\n",
+       "         2MASS J00034227-2822410 ...                                      None\n",
+       "         2MASS J00040288-6410358 ...                                      None\n",
+       "         2MASS J00043484-4044058 ...                                      None\n",
+       "         2MASS J00044144-2058298 ...                                      None\n",
+       "         2MASS J00045753-1709369 ...                                      None\n",
+       "         2MASS J00054844-2157196 ...                                      None\n",
+       "         2MASS J00070787-2458042 ...                                      None\n",
+       "                             ... ...                                       ...\n",
+       "       WISEU J013522.46-221957.3 ...                                      None\n",
+       "       WISEU J050305.68-564834.0 ...                                      None\n",
+       "         WISP 030741.12-724357.5 ...                                      None\n",
+       "         WISP 123242.42-003306.7 ...                                      None\n",
+       "                        Wolf 359 ...                                      None\n",
+       "                       Wolf 940B ...                                      None\n",
+       "[BMZ2001] S Ori J053814.5-024512 ...                                      None\n",
+       "                      [HB88] M18 ...                                      None\n",
+       "                      [HB88] M20 ... Best20 lists discovery as Hawk88a; Kirk11\n",
+       "   [LDC2013] J160918.68-222923.9 ...                                      None"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "db.search_object('wise', fmt='astropy')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aa12de60",
+   "metadata": {},
+   "source": [
+    "### Search by Object"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3d08ef03",
+   "metadata": {},
+   "source": [
+    "So you found the object youre looking for - lets now narrow down that query."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d923dc1c",
+   "metadata": {},
+   "source": [
+    "Lets see many names are associated with the object WISEPC J0333"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "06145ba6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "No Simbad match for WISEPC J0333\n",
+      "Including Simbad names, searching for: ['WISEPC J0333']\n",
+      "Using table 'Sources' with columns ['source'] for matching object names\n",
+      "Using table 'Names' with columns ['other_name'] for matching object names\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><i>Table length=3</i>\n",
+       "<table id=\"table5435081264\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<thead><tr><th>source</th><th>other_name</th></tr></thead>\n",
+       "<thead><tr><th>str26</th><th>str26</th></tr></thead>\n",
+       "<tr><td>WISEPC J033349.34-585618.7</td><td>CWISE J033349.31-585619.8</td></tr>\n",
+       "<tr><td>WISEPC J033349.34-585618.7</td><td>VHS J033349.30-585620.2</td></tr>\n",
+       "<tr><td>WISEPC J033349.34-585618.7</td><td>WISEPC J033349.34-585618.7</td></tr>\n",
+       "</table></div>"
+      ],
+      "text/plain": [
+       "<Table length=3>\n",
+       "          source                   other_name        \n",
+       "          str26                      str26           \n",
+       "-------------------------- --------------------------\n",
+       "WISEPC J033349.34-585618.7  CWISE J033349.31-585619.8\n",
+       "WISEPC J033349.34-585618.7    VHS J033349.30-585620.2\n",
+       "WISEPC J033349.34-585618.7 WISEPC J033349.34-585618.7"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "db.search_object('WISEPC J0333', resolve_simbad=True, output_table='Names')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9c3c93a7",
+   "metadata": {},
+   "source": [
+    "### Inventory Check"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3ac5f930",
+   "metadata": {},
+   "source": [
+    "We know the source exist, so now we want to see all the data associated with the source. \n",
+    "Inventory documentation: https://astrodbkit.readthedocs.io/en/latest/#inventory-search"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "b73b9b80",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "    \"Sources\": [\n",
+      "        {\n",
+      "            \"source\": \"WISEPC J033349.34-585618.7\",\n",
+      "            \"ra\": 53.4557,\n",
+      "            \"dec\": -58.9384,\n",
+      "            \"epoch\": null,\n",
+      "            \"equinox\": \"2000\",\n",
+      "            \"shortname\": null,\n",
+      "            \"reference\": \"Kirk11\",\n",
+      "            \"other_references\": null,\n",
+      "            \"comments\": null\n",
+      "        }\n",
+      "    ],\n",
+      "    \"Names\": [\n",
+      "        {\n",
+      "            \"other_name\": \"CWISE J033349.31-585619.8\"\n",
+      "        },\n",
+      "        {\n",
+      "            \"other_name\": \"VHS J033349.30-585620.2\"\n",
+      "        },\n",
+      "        {\n",
+      "            \"other_name\": \"WISEPC J033349.34-585618.7\"\n",
+      "        }\n",
+      "    ],\n",
+      "    \"Parallaxes\": [\n",
+      "        {\n",
+      "            \"parallax\": 46.2,\n",
+      "            \"parallax_error\": 3.7,\n",
+      "            \"adopted\": true,\n",
+      "            \"comments\": null,\n",
+      "            \"reference\": \"Kirk21\"\n",
+      "        }\n",
+      "    ],\n",
+      "    \"Photometry\": [\n",
+      "        {\n",
+      "            \"band\": \"IRAC.I1\",\n",
+      "            \"magnitude\": 13.59,\n",
+      "            \"magnitude_error\": 0.02,\n",
+      "            \"telescope\": \"Spitzer\",\n",
+      "            \"epoch\": null,\n",
+      "            \"comments\": null,\n",
+      "            \"reference\": \"Kirk11\"\n",
+      "        },\n",
+      "        {\n",
+      "            \"band\": \"IRAC.I2\",\n",
+      "            \"magnitude\": 13.3,\n",
+      "            \"magnitude_error\": 0.02,\n",
+      "            \"telescope\": \"Spitzer\",\n",
+      "            \"epoch\": null,\n",
+      "            \"comments\": null,\n",
+      "            \"reference\": \"Kirk11\"\n",
+      "        },\n",
+      "        {\n",
+      "            \"band\": \"VISTA.J\",\n",
+      "            \"magnitude\": 15.73,\n",
+      "            \"magnitude_error\": 0.005,\n",
+      "            \"telescope\": \"VISTA\",\n",
+      "            \"epoch\": null,\n",
+      "            \"comments\": null,\n",
+      "            \"reference\": \"McMa13\"\n",
+      "        },\n",
+      "        {\n",
+      "            \"band\": \"WISE.W1\",\n",
+      "            \"magnitude\": 14.037,\n",
+      "            \"magnitude_error\": 0.017,\n",
+      "            \"telescope\": \"WISE\",\n",
+      "            \"epoch\": null,\n",
+      "            \"comments\": \"Ingested from the Ultracool Sheet. Cross match to CatWISE done by Sanghi et al. 2023 (10.3847/1538-4357/acff66).\",\n",
+      "            \"reference\": \"Maro21\"\n",
+      "        },\n",
+      "        {\n",
+      "            \"band\": \"WISE.W2\",\n",
+      "            \"magnitude\": 13.313,\n",
+      "            \"magnitude_error\": 0.013,\n",
+      "            \"telescope\": \"WISE\",\n",
+      "            \"epoch\": null,\n",
+      "            \"comments\": \"Ingested from the Ultracool Sheet. Cross match to CatWISE done by Sanghi et al. 2023 (10.3847/1538-4357/acff66).\",\n",
+      "            \"reference\": \"Maro21\"\n",
+      "        },\n",
+      "        {\n",
+      "            \"band\": \"WISE.W3\",\n",
+      "            \"magnitude\": 12.22,\n",
+      "            \"magnitude_error\": 0.225,\n",
+      "            \"telescope\": \"WISE\",\n",
+      "            \"epoch\": null,\n",
+      "            \"comments\": \"Ingested from the Ultracool Sheet. Cross match to CatWISE done by Sanghi et al. 2023 (10.3847/1538-4357/acff66).\",\n",
+      "            \"reference\": \"Cutr13\"\n",
+      "        }\n",
+      "    ],\n",
+      "    \"ProperMotions\": [\n",
+      "        {\n",
+      "            \"mu_ra\": -126.0,\n",
+      "            \"mu_ra_error\": 8.0,\n",
+      "            \"mu_dec\": -607.0,\n",
+      "            \"mu_dec_error\": 7.0,\n",
+      "            \"adopted\": false,\n",
+      "            \"comments\": null,\n",
+      "            \"reference\": \"Kirk11\"\n",
+      "        },\n",
+      "        {\n",
+      "            \"mu_ra\": -142.7,\n",
+      "            \"mu_ra_error\": 3.8,\n",
+      "            \"mu_dec\": -620.0,\n",
+      "            \"mu_dec_error\": 3.4,\n",
+      "            \"adopted\": true,\n",
+      "            \"comments\": \"Ingested from the Ultracool Sheet. Cross match to CatWISE done by Sanghi et al. 2023 (10.3847/1538-4357/acff66).\",\n",
+      "            \"reference\": \"Maro21\"\n",
+      "        }\n",
+      "    ],\n",
+      "    \"SpectralTypes\": [\n",
+      "        {\n",
+      "            \"spectral_type_string\": \"T3\",\n",
+      "            \"spectral_type_code\": 83.0,\n",
+      "            \"spectral_type_error\": null,\n",
+      "            \"regime\": \"nir\",\n",
+      "            \"adopted\": null,\n",
+      "            \"photometric\": null,\n",
+      "            \"comments\": null,\n",
+      "            \"reference\": \"Kirk11\"\n",
+      "        }\n",
+      "    ]\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "data = db.inventory('WISEPC J033349.34-585618.7', pretty_print=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bf8d6221",
+   "metadata": {},
+   "source": [
+    "### Search by String"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "78166d9c",
+   "metadata": {},
+   "source": [
+    "Now lets do a broader search, say you want to find all objects with the publication reference \"Cruz18\" "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6eaea4ee",
+   "metadata": {},
+   "source": [
+    "Within astrodbkit, we allow for the parameter format (fmt) so that you can decide how you wish to visualize your query. Your options are pandas, astropy, or default (default is an astropy table)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ab20b4a0",
+   "metadata": {},
+   "source": [
+    "Search string documentation: https://astrodbkit.readthedocs.io/en/latest/#full-string-search"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "147cb0e8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Sources\n",
+      "         source               ra      ... other_references   comments  \n",
+      "----------------------- ------------- ... ---------------- ------------\n",
+      "2MASS J15382417-1953116     234.60071 ...             None         None\n",
+      "2MASS J00110940+5149236      2.789182 ...             None         None\n",
+      "2MASS J15063706+2759544     226.65421 ...             None       galaxy\n",
+      "2MASS J05583706-1339123     89.654445 ...             None         None\n",
+      "2MASS J23490528+1833150       357.272 ...             None         None\n",
+      "2MASS J23202927+4123415     350.12167 ...             None         None\n",
+      "2MASS J22433237-1525260    340.884859 ...             None         None\n",
+      "2MASS J12490458-3454080     192.26979 ...             None       galaxy\n",
+      "2MASS J23364145+4822480    354.172713 ...             None         None\n",
+      "2MASS J05574102-1333264     89.420954 ...             None        not M\n",
+      "                    ...           ... ...              ...          ...\n",
+      "2MASS J05574229-1333156     89.426209 ...             None not M/galaxy\n",
+      "2MASS J23153135+0617146    348.880659 ...             None         None\n",
+      "2MASS J23255604-0259508     351.48352 ...             None         None\n",
+      "2MASS J02561474+1935213 44.0614166667 ...             None         None\n",
+      "2MASS J04214954+1528598 65.4564166667 ...             None         None\n",
+      "2MASS J08555320-0259207     133.97129 ...             None        giant\n",
+      "2MASS J22400942+3848306    340.039273 ...             None         None\n",
+      "2MASS J20151370-1252571     303.80692 ...             None       galaxy\n",
+      "2MASS J13570485-3946356 209.270208333 ...             None         None\n",
+      "2MASS J12475047-0152142    191.960334 ...             None         None\n",
+      "Length = 24 rows\n",
+      "Publications\n",
+      "reference ...\n",
+      "--------- ...\n",
+      "   Cruz18 ...\n",
+      "Spectra\n",
+      "         source         ... other_references\n",
+      "----------------------- ... ----------------\n",
+      "2MASS J15382417-1953116 ...             None\n",
+      "2MASS J00011217+1535355 ...             None\n",
+      "2MASS J01443536-0716142 ...             None\n",
+      "2MASS J15311344+1641282 ...             None\n",
+      "2MASS J03101401-2756452 ...             None\n",
+      "2MASS J15515237+0941148 ...             None\n",
+      "2MASS J15515237+0941148 ...             None\n",
+      "2MASS J15515237+0941148 ...             None\n",
+      "2MASS J15515237+0941148 ...             None\n",
+      "2MASS J15515237+0941148 ...             None\n",
+      "                    ... ...              ...\n",
+      "2MASS J21420580-3101162 ...             None\n",
+      "2MASS J00332386-1521309 ...             None\n",
+      "2MASS J13570485-3946356 ...             None\n",
+      "2MASS J12475047-0152142 ...             None\n",
+      "2MASS J22545194-2840253 ...             None\n",
+      "             LP 655- 48 ...             None\n",
+      "2MASS J12312141+4959234 ...             None\n",
+      "2MASS J05341594-0631397 ...             None\n",
+      "2MASS J15392137+6502364 ...             None\n",
+      "2MASS J22490917+3205489 ...             None\n",
+      "Length = 186 rows\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{'Sources': <Table length=24>\n",
+       "          source               ra      ... other_references   comments  \n",
+       "          str23             float64    ...      object         object   \n",
+       " ----------------------- ------------- ... ---------------- ------------\n",
+       " 2MASS J15382417-1953116     234.60071 ...             None         None\n",
+       " 2MASS J00110940+5149236      2.789182 ...             None         None\n",
+       " 2MASS J15063706+2759544     226.65421 ...             None       galaxy\n",
+       " 2MASS J05583706-1339123     89.654445 ...             None         None\n",
+       " 2MASS J23490528+1833150       357.272 ...             None         None\n",
+       " 2MASS J23202927+4123415     350.12167 ...             None         None\n",
+       " 2MASS J22433237-1525260    340.884859 ...             None         None\n",
+       " 2MASS J12490458-3454080     192.26979 ...             None       galaxy\n",
+       " 2MASS J23364145+4822480    354.172713 ...             None         None\n",
+       "                     ...           ... ...              ...          ...\n",
+       " 2MASS J05574229-1333156     89.426209 ...             None not M/galaxy\n",
+       " 2MASS J23153135+0617146    348.880659 ...             None         None\n",
+       " 2MASS J23255604-0259508     351.48352 ...             None         None\n",
+       " 2MASS J02561474+1935213 44.0614166667 ...             None         None\n",
+       " 2MASS J04214954+1528598 65.4564166667 ...             None         None\n",
+       " 2MASS J08555320-0259207     133.97129 ...             None        giant\n",
+       " 2MASS J22400942+3848306    340.039273 ...             None         None\n",
+       " 2MASS J20151370-1252571     303.80692 ...             None       galaxy\n",
+       " 2MASS J13570485-3946356 209.270208333 ...             None         None\n",
+       " 2MASS J12475047-0152142    191.960334 ...             None         None,\n",
+       " 'Publications': <Table length=1>\n",
+       " reference ...\n",
+       "    str6   ...\n",
+       " --------- ...\n",
+       "    Cruz18 ...,\n",
+       " 'Spectra': <Table length=186>\n",
+       "          source         ... other_references\n",
+       "          str24          ...      object     \n",
+       " ----------------------- ... ----------------\n",
+       " 2MASS J15382417-1953116 ...             None\n",
+       " 2MASS J00011217+1535355 ...             None\n",
+       " 2MASS J01443536-0716142 ...             None\n",
+       " 2MASS J15311344+1641282 ...             None\n",
+       " 2MASS J03101401-2756452 ...             None\n",
+       " 2MASS J15515237+0941148 ...             None\n",
+       " 2MASS J15515237+0941148 ...             None\n",
+       " 2MASS J15515237+0941148 ...             None\n",
+       " 2MASS J15515237+0941148 ...             None\n",
+       "                     ... ...              ...\n",
+       " 2MASS J21420580-3101162 ...             None\n",
+       " 2MASS J00332386-1521309 ...             None\n",
+       " 2MASS J13570485-3946356 ...             None\n",
+       " 2MASS J12475047-0152142 ...             None\n",
+       " 2MASS J22545194-2840253 ...             None\n",
+       "              LP 655- 48 ...             None\n",
+       " 2MASS J12312141+4959234 ...             None\n",
+       " 2MASS J05341594-0631397 ...             None\n",
+       " 2MASS J15392137+6502364 ...             None\n",
+       " 2MASS J22490917+3205489 ...             None}"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "db.search_string('Cruz18', fuzzy_search=False, fmt='astropy')  #fmt options: pandas, astropy/table, default"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "14912036",
+   "metadata": {},
+   "source": [
+    "### Search by Region "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9291275e",
+   "metadata": {},
+   "source": [
+    "Next example is query region, where you can use SkyCoord to create a coordinates object that query_region uses to query the database, in this example the Sources table. Make sure to use as accurate as a coordinate as possible. \n",
+    "\n",
+    "Query_Region Documentation: https://astrodbkit.readthedocs.io/en/latest/#region-spatial-search"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "029fa8c4",
+   "metadata": {},
+   "source": [
+    "Notes on Query Region: \n",
+    "If you have the exact coordinates of the object you are searching you can use query_region as shown. However, if you don't you can enter the optional parameter \"radius=x\" to allow for a larger search radius, otherwise you will get back an empty query if your coordinates aren't precise enough"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "84eca441",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Table Results for (144.395292, 29.528028): \n",
+      "          source             ra        dec    ... other_references comments\n",
+      "----------------------- ---------- --------- ... ---------------- --------\n",
+      "2MASS J09373487+2931409 144.395292 29.528028 ...             None     None\n",
+      "\n",
+      "Table Results for (144.3, 29.5): \n",
+      " <No columns>\n",
+      "\n",
+      "Table Results for (144.395, 29.528, radius=60.0 arcsecs): \n",
+      "          source             ra        dec    ... other_references comments\n",
+      "----------------------- ---------- --------- ... ---------------- --------\n",
+      "2MASS J09373487+2931409 144.395292 29.528028 ...             None     None\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from astropy.units.quantity import Quantity\n",
+    "\n",
+    "# An example of query with precise coordinates ----------\n",
+    "precise_coords = db.query_region(SkyCoord(144.395292, 29.528028, frame='icrs', unit='deg'), output_table='Sources', ra_col='ra', dec_col='dec')  \n",
+    "print(f'Table Results for (144.395292, 29.528028): \\n {precise_coords}\\n')\n",
+    "\n",
+    "# An example that queries the database incorrectly\n",
+    "imprecise_coords = db.query_region(SkyCoord(144.3, 29.5, frame='icrs', unit='deg'), output_table='Sources', ra_col='ra', dec_col='dec') \n",
+    "print(f'Table Results for (144.3, 29.5): \\n {imprecise_coords}\\n')\n",
+    "\n",
+    "# An example that queries the database using the radius parameter\n",
+    "larger_search_area = db.query_region(SkyCoord(144.395, 29.528, frame='icrs', unit='deg'), radius=Quantity(60., unit='arcsec'), output_table='Sources', ra_col='ra', dec_col='dec',)\n",
+    "print(f'Table Results for (144.395, 29.528, radius=60.0 arcsecs): \\n {(larger_search_area)}\\n')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "simple-db",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/notebooks/Demo_Queries_1.5.ipynb b/docs/notebooks/Demo_Queries_1.5.ipynb
new file mode 100644
index 000000000..3478ff534
--- /dev/null
+++ b/docs/notebooks/Demo_Queries_1.5.ipynb
@@ -0,0 +1,468 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1ffa299a",
+   "metadata": {},
+   "source": [
+    "# Advanced Queries using Python and SQL"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4105070b",
+   "metadata": {},
+   "source": [
+    "## Load in the Database "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "f244041f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from astrodb_utils import load_astrodb\n",
+    "from simple import REFERENCE_TABLES\n",
+    "\n",
+    "SCHEMA_PATH = \"../../simple/schema.yaml\" \n",
+    "recreatedb = False #Set to True or False\n",
+    "db = load_astrodb(\n",
+    "     \"../../SIMPLE.sqlite\", \n",
+    "     recreatedb=recreatedb,  \n",
+    "     reference_tables=REFERENCE_TABLES, \n",
+    "     felis_schema=SCHEMA_PATH\n",
+    "     )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fae1c2a9",
+   "metadata": {},
+   "source": [
+    "## Let first use astrodb_utils.sql_query to run a SQL query directly \n",
+    "AstrodbUtils's function sql_query acts as a wrapped for direct SQL queries, taking in two parameters: query (str), and fmt (str: pandas, astropy, defualt). "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "60df2dd6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Query with multiple conditions, filtering sources with dec > 0 and ra < 200 degrees:\n",
+      "Showing the first 10 results out of 1334 sources:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><i>Table length=10</i>\n",
+       "<table id=\"table4408630624\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<thead><tr><th>source</th><th>ra</th><th>dec</th><th>epoch</th><th>equinox</th><th>shortname</th><th>reference</th><th>other_references</th><th>comments</th></tr></thead>\n",
+       "<thead><tr><th>str24</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>object</th><th>str11</th><th>object</th><th>object</th></tr></thead>\n",
+       "<tr><td>2MASS J03552014+1439297</td><td>58.83375</td><td>14.658056</td><td>None</td><td>None</td><td>None</td><td>Cruz07</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>PSO J024.4369+09.1360</td><td>24.4372</td><td>9.1366</td><td>None</td><td>2000</td><td>None</td><td>Skrz16</td><td>None</td><td>Best20 lists discovery as Skrz16; Best20a</td></tr>\n",
+       "<tr><td>SDSS J094903.15+264944.2</td><td>147.2633</td><td>26.8288</td><td>None</td><td>2000</td><td>None</td><td>Schm10.1808</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J09373487+2931409</td><td>144.395292</td><td>29.528028</td><td>None</td><td>None</td><td>0937+2931</td><td>Burg02.421</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>HIP 6407B</td><td>20.5707</td><td>3.5232</td><td>None</td><td>2000</td><td>None</td><td>Deac14.119</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J11260310+4819256</td><td>171.5128</td><td>48.3239</td><td>None</td><td>2000</td><td>None</td><td>Kell15</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>LHS 1937</td><td>115.27833</td><td>17.645833</td><td>None</td><td>None</td><td>None</td><td>Luyt79.5</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>ULAS J095047.28+011734.3</td><td>147.6971</td><td>1.2925</td><td>None</td><td>2000</td><td>None</td><td>Burn13</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>2MASSI J1029216+162652</td><td>157.3404</td><td>16.4477</td><td>None</td><td>2000</td><td>None</td><td>Kirk00</td><td>None</td><td>None</td></tr>\n",
+       "<tr><td>ULAS J115229.68+035927.3</td><td>178.1235</td><td>3.9908</td><td>None</td><td>2000</td><td>None</td><td>Scho12</td><td>None</td><td>Best20 lists discovery as Scho12; Burn13</td></tr>\n",
+       "</table></div>"
+      ],
+      "text/plain": [
+       "<Table length=10>\n",
+       "         source          ...                  comments                \n",
+       "         str24           ...                   object                 \n",
+       "------------------------ ... -----------------------------------------\n",
+       " 2MASS J03552014+1439297 ...                                      None\n",
+       "   PSO J024.4369+09.1360 ... Best20 lists discovery as Skrz16; Best20a\n",
+       "SDSS J094903.15+264944.2 ...                                      None\n",
+       " 2MASS J09373487+2931409 ...                                      None\n",
+       "               HIP 6407B ...                                      None\n",
+       " 2MASS J11260310+4819256 ...                                      None\n",
+       "                LHS 1937 ...                                      None\n",
+       "ULAS J095047.28+011734.3 ...                                      None\n",
+       "  2MASSI J1029216+162652 ...                                      None\n",
+       "ULAS J115229.68+035927.3 ...  Best20 lists discovery as Scho12; Burn13"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sqlalchemy import and_, or_\n",
+    "\n",
+    "#Uncomment the following lines to see how to use AND and OR in queries\n",
+    "\n",
+    "# Query with multiple conditions\n",
+    "print(\"\\nQuery with multiple conditions, filtering sources with dec > 0 and ra < 200 degrees:\")\n",
+    "print(f\"Showing the first 10 results out of {len(db.query(db.Sources).filter(db.Sources.c.dec > 0).filter(db.Sources.c.ra < 200).all())} sources:\")\n",
+    "db.query(db.Sources).filter(db.Sources.c.dec > 0).filter(db.Sources.c.ra < 200).limit(10).table()\n",
+    "\n",
+    "# #  Query with AND\n",
+    "# print(\"\\nQuery with AND, filtering sources with dec > 0 and ra > 200 degrees:\")\n",
+    "# print(f\"Showing the first 10 results out of {len(db.query(db.Sources).filter(and_(db.Sources.c.dec > 0, db.Sources.c.ra > 200)).all())} sources:\")\n",
+    "# db.query(db.Sources).filter(and_(db.Sources.c.dec > 0, db.Sources.c.ra > 200)).limit(10).table()\n",
+    "\n",
+    "\n",
+    "# #  Query with OR\n",
+    "# print(\"\\nQuery with OR, filtering sources with dec < 0 or ra > 200 degrees:\")\n",
+    "# print(f\"Showing the first 10 results out of {len(db.query(db.Sources).filter(or_(db.Sources.c.dec < 0, db.Sources.c.ra > 200)).all())} sources:\")\n",
+    "# db.query(db.Sources).filter(or_(db.Sources.c.dec < 0, db.Sources.c.ra > 200)).limit(10).table()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "69912aad",
+   "metadata": {},
+   "source": [
+    "### Query the count of sources in the database"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "19aa317e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total number of objects in the SIMPLE database: 3619\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Query the total number of objects within SIMPLE\n",
+    "result = db.sql_query(\"SELECT COUNT(*) FROM Sources\", fmt='astropy')\n",
+    "total_objects = result[0][0]\n",
+    "\n",
+    "\n",
+    "print(f\"Total number of objects in the SIMPLE database: {total_objects}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7b517acd",
+   "metadata": {},
+   "source": [
+    "### Query Sources by String "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "6444304a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Found 616 WISE sources in the database\n",
+      "\n",
+      "First Three WISE Sources:\n",
+      "          source                   ra               dec         epoch equinox shortname reference other_references comments\n",
+      "-------------------------- ----------------- ------------------ ----- ------- --------- --------- ---------------- --------\n",
+      "CWISEP J230158.30-645858.3 345.4929166666666 -64.98286111111112  None    None      None Meis20.74             None     None\n",
+      "         source             ra     dec    epoch equinox shortname reference other_references comments\n",
+      "------------------------ ------- -------- ----- ------- --------- --------- ---------------- --------\n",
+      "WISE J200403.17-263751.7 301.013 -26.6293  None    2000      None    Thom13             None     None\n",
+      "          source                  ra                 dec         epoch equinox shortname reference  other_references comments\n",
+      "------------------------- ------------------ ------------------- ----- ------- --------- ---------- ---------------- --------\n",
+      "WISEA J012834.87-280302.5 22.145291666666665 -28.050694444444446  None    None      None Meis20.123             None     None\n"
+     ]
+    }
+   ],
+   "source": [
+    "wise_sources_query = \"SELECT * FROM Sources WHERE source LIKE '%WISE%'\"\n",
+    "wise_sources = db.sql_query(wise_sources_query, fmt='astropy')\n",
+    "\n",
+    "print(f\"Found {len(wise_sources)} WISE sources in the database\")\n",
+    "print(\"\\nFirst Three WISE Sources:\")\n",
+    "for source in wise_sources[:3]:  # Display first 3 sources\n",
+    "    print(source)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a69f4515",
+   "metadata": {},
+   "source": [
+    "### Query by Program ID (\"PID\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "16631ad3",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Found 55 spectra with PID references in the database\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><i>Table length=55</i>\n",
+       "<table id=\"table5731856848\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<thead><tr><th>source</th><th>access_url</th><th>original_spectrum</th><th>local_spectrum</th><th>regime</th><th>telescope</th><th>instrument</th><th>mode</th><th>observation_date</th><th>comments</th><th>reference</th><th>other_references</th></tr></thead>\n",
+       "<thead><tr><th>str24</th><th>str67</th><th>object</th><th>str43</th><th>str3</th><th>str7</th><th>str3</th><th>str7</th><th>str26</th><th>object</th><th>str8</th><th>object</th></tr></thead>\n",
+       "<tr><td>VB 10</td><td>https://s3.amazonaws.com/bdnyc/Gl+752B+%285-35um%29.txt</td><td>None</td><td>$BDNYC_spectra/IRS/Gl 752B (5-35um).txt</td><td>mir</td><td>Spitzer</td><td>IRS</td><td>Missing</td><td>2005-10-11 00:00:00.000000</td><td>None</td><td>PID29</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J10042066+5022596</td><td>https://s3.amazonaws.com/bdnyc/IRS/G196-3B.txt</td><td>None</td><td>$BDNYC_spectra/IRS/G196-3B.txt</td><td>mir</td><td>Spitzer</td><td>IRS</td><td>Missing</td><td>2004-04-17 04:40:11.761000</td><td>None</td><td>PID51</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J10224821+5825453</td><td>https://s3.amazonaws.com/bdnyc/IRS/1022%2B5825.txt</td><td>None</td><td>$BDNYC_spectra/IRS/1022+5825.txt</td><td>mir</td><td>Spitzer</td><td>IRS</td><td>Missing</td><td>2005-04-16 13:45:42.752000</td><td>None</td><td>PID3136</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J12392727+5515371</td><td>https://s3.amazonaws.com/bdnyc/1239%2B5515.txt</td><td>None</td><td>$BDNYC_spectra/IRS/1239+5515.txt</td><td>mir</td><td>Spitzer</td><td>IRS</td><td>Missing</td><td>2004-04-18 02:01:06.605000</td><td>None</td><td>PID51</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J00001354+2554180</td><td>https://s3.amazonaws.com/bdnyc/IRS/0000%2B2554%20%285-14.5um%29.txt</td><td>None</td><td>$BDNYC_spectra/IRS/0000+2554 (5-14.5um).txt</td><td>mir</td><td>Spitzer</td><td>IRS</td><td>Missing</td><td>2005-12-18 00:00:00.000000</td><td>None</td><td>PID20514</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J07464256+2000321</td><td>https://s3.amazonaws.com/bdnyc/0746%2B2000.txt</td><td>None</td><td>$BDNYC_spectra/IRS/0746+2000.txt</td><td>mir</td><td>Spitzer</td><td>IRS</td><td>Missing</td><td>2004-03-27 00:32:11.624000</td><td>None</td><td>PID51</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J20575409-0252302</td><td>https://s3.amazonaws.com/bdnyc/2057-0252.txt</td><td>None</td><td>$BDNYC_spectra/IRS/2057-0252.txt</td><td>mir</td><td>Spitzer</td><td>IRS</td><td>SL</td><td>2005-05-25 01:56:38.317000</td><td>None</td><td>PID3136</td><td>None</td></tr>\n",
+       "<tr><td>LP  440-52</td><td>https://s3.amazonaws.com/bdnyc/IRS/LHS377.txt</td><td>None</td><td>$BDNYC_spectra/IRS/LHS377.txt</td><td>mir</td><td>Spitzer</td><td>IRS</td><td>Missing</td><td>2005-07-01 00:00:00.000000</td><td>None</td><td>PID251</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J12373919+6526148</td><td>https://s3.amazonaws.com/bdnyc/IRS/1237%2B6526.txt</td><td>None</td><td>$BDNYC_spectra/IRS/1237+6526.txt</td><td>mir</td><td>Spitzer</td><td>IRS</td><td>SL</td><td>2004-03-03 20:10:57.708000</td><td>None</td><td>PID51</td><td>None</td></tr>\n",
+       "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
+       "<tr><td>2MASS J00345157+0523050</td><td>https://s3.amazonaws.com/bdnyc/IRS/0034%2B0523.txt</td><td>None</td><td>$BDNYC_spectra/IRS/0034+0523.txt</td><td>mir</td><td>Spitzer</td><td>IRS</td><td>Missing</td><td>2006-01-19 00:00:00.000000</td><td>None</td><td>PID20544</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J10365305-3441380</td><td>https://s3.amazonaws.com/bdnyc/IRS/1036-3441.txt</td><td>None</td><td>$BDNYC_spectra/IRS/1036-3441.txt</td><td>mir</td><td>Spitzer</td><td>IRS</td><td>Missing</td><td>2006-01-23 19:26:34.143000</td><td>None</td><td>PID51</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J17210390+3344160</td><td>https://s3.amazonaws.com/bdnyc/IRS/1721%2B3344.txt</td><td>None</td><td>$BDNYC_spectra/IRS/1721+3344.txt</td><td>mir</td><td>Spitzer</td><td>IRS</td><td>Missing</td><td>2008-08-01 00:00:00.000000</td><td>None</td><td>PID50059</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J11145133-2618235</td><td>https://s3.amazonaws.com/bdnyc/IRS/1114-2618.txt</td><td>None</td><td>$BDNYC_spectra/IRS/1114-2618.txt</td><td>mir</td><td>Spitzer</td><td>IRS</td><td>Missing</td><td>2006-02-01 00:00:00.000000</td><td>None</td><td>PID20544</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J10170754+1308398</td><td>https://s3.amazonaws.com/bdnyc/1017%2B1308.txt</td><td>None</td><td>$BDNYC_spectra/IRS/1017+1308.txt</td><td>mir</td><td>Spitzer</td><td>IRS</td><td>SL</td><td>2009-01-19 18:00:15.977000</td><td>None</td><td>PID50367</td><td>None</td></tr>\n",
+       "<tr><td>DENIS-P J144137.2-094558</td><td>https://s3.amazonaws.com/bdnyc/IRS/1441-0945.txt</td><td>None</td><td>$BDNYC_spectra/IRS/1441-0945.txt</td><td>mir</td><td>Spitzer</td><td>IRS</td><td>Missing</td><td>2009-03-06 07:56:18.586000</td><td>None</td><td>PID50367</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J04455387-3048204</td><td>https://s3.amazonaws.com/bdnyc/0445-3048.txt</td><td>None</td><td>$BDNYC_spectra/IRS/0445-3048.txt</td><td>mir</td><td>Spitzer</td><td>IRS</td><td>SL</td><td>2005-03-14 12:24:05.373000</td><td>None</td><td>PID3136</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J05012406-0010452</td><td>https://s3.amazonaws.com/bdnyc/0501-0010.txt</td><td>None</td><td>$BDNYC_spectra/IRS/0501-0010.txt</td><td>mir</td><td>Spitzer</td><td>IRS</td><td>SL</td><td>2008-11-12 03:43:34.999000</td><td>None</td><td>PID50059</td><td>None</td></tr>\n",
+       "<tr><td>GJ 1111</td><td>https://s3.amazonaws.com/bdnyc/0829%2B2646+%2814-35um%29.txt</td><td>None</td><td>$BDNYC_spectra/IRS/0829+2646 (14-35um).txt</td><td>mir</td><td>Spitzer</td><td>IRS</td><td>LL</td><td>2006-05-18 00:00:00.000000</td><td>None</td><td>PID20409</td><td>None</td></tr>\n",
+       "<tr><td>2MASS J04390101-2353083</td><td>https://s3.amazonaws.com/bdnyc/0439-2353.txt</td><td>None</td><td>$BDNYC_spectra/IRS/0439-2353.txt</td><td>mir</td><td>Spitzer</td><td>IRS</td><td>SL</td><td>2005-02-18 03:53:36.569000</td><td>None</td><td>PID3136</td><td>None</td></tr>\n",
+       "</table></div>"
+      ],
+      "text/plain": [
+       "<Table length=55>\n",
+       "         source          ... other_references\n",
+       "         str24           ...      object     \n",
+       "------------------------ ... ----------------\n",
+       "                   VB 10 ...             None\n",
+       " 2MASS J10042066+5022596 ...             None\n",
+       " 2MASS J10224821+5825453 ...             None\n",
+       " 2MASS J12392727+5515371 ...             None\n",
+       " 2MASS J00001354+2554180 ...             None\n",
+       " 2MASS J07464256+2000321 ...             None\n",
+       " 2MASS J20575409-0252302 ...             None\n",
+       "              LP  440-52 ...             None\n",
+       " 2MASS J12373919+6526148 ...             None\n",
+       "                     ... ...              ...\n",
+       " 2MASS J00345157+0523050 ...             None\n",
+       " 2MASS J10365305-3441380 ...             None\n",
+       " 2MASS J17210390+3344160 ...             None\n",
+       " 2MASS J11145133-2618235 ...             None\n",
+       " 2MASS J10170754+1308398 ...             None\n",
+       "DENIS-P J144137.2-094558 ...             None\n",
+       " 2MASS J04455387-3048204 ...             None\n",
+       " 2MASS J05012406-0010452 ...             None\n",
+       "                 GJ 1111 ...             None\n",
+       " 2MASS J04390101-2353083 ...             None"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "spectra_pid_query = \"SELECT * FROM Spectra WHERE reference LIKE 'PID%'\"\n",
+    "print(f\"Found {len(db.sql_query(spectra_pid_query))} spectra with PID references in the database\")\n",
+    "db.sql_query(spectra_pid_query, fmt='astropy')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f77f960b",
+   "metadata": {},
+   "source": [
+    "## Using SQLAlchemy Query Functions"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c3a3234d",
+   "metadata": {},
+   "source": [
+    "#### SQL via SQLalchemy "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "0f1277e8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "First 10 Sources (Raw SQL):\n",
+      "Source: 2MASS J03552014+1439297, RA: 58.83375, Dec: 14.658056\n",
+      "Source: 1RXS J115928.5-524717, RA: 179.864, Dec: -52.7886\n",
+      "Source: ULAS J114925.58-014343.2, RA: 177.3569, Dec: -1.7287\n",
+      "Source: DENIS-P J1756561-480509, RA: 269.2342, Dec: -48.086\n",
+      "Source: PSO J024.4369+09.1360, RA: 24.4372, Dec: 9.1366\n",
+      "Source: SDSS J161420.50+004643.6, RA: 243.585, Dec: 0.7785\n",
+      "Source: SDSS J094903.15+264944.2, RA: 147.2633, Dec: 26.8288\n",
+      "Source: SDSS J083717.21-000018.0, RA: 129.3215835, Dec: -0.004972\n",
+      "Source: 2MASS J06080232-2944590, RA: 92.0097, Dec: -29.7497\n",
+      "Source: 2MASS J09373487+2931409, RA: 144.395292, Dec: 29.528028\n",
+      "\n",
+      "Spectra from IRS instrument (first 5):\n",
+      "Source: SDSS J083717.21-000018.0, Telescope: Spitzer\n",
+      "\n",
+      "WISE sources with spectra (first 5):\n",
+      "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: MIRI\n",
+      "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: NIRSpec\n",
+      "Source: WISE J235402.77+024015.0, Telescope: HST, Instrument: WFC3\n",
+      "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: MIRI\n",
+      "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: NIRSpec\n",
+      "\n",
+      "Top 3 references by number of sources:\n",
+      "Reference: Schm10.1808, Count: 208\n",
+      "Reference: Reid08.1290, Count: 206\n",
+      "Reference: West08, Count: 194\n",
+      "Source: 2MASS J09373487+2931409, Telescope: Spitzer\n",
+      "\n",
+      "WISE sources with spectra (first 5):\n",
+      "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: MIRI\n",
+      "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: NIRSpec\n",
+      "Source: WISE J235402.77+024015.0, Telescope: HST, Instrument: WFC3\n",
+      "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: MIRI\n",
+      "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: NIRSpec\n",
+      "\n",
+      "Top 3 references by number of sources:\n",
+      "Reference: Schm10.1808, Count: 208\n",
+      "Reference: Reid08.1290, Count: 206\n",
+      "Reference: West08, Count: 194\n",
+      "Source: 2MASS J09373487+2931409, Telescope: Spitzer\n",
+      "\n",
+      "WISE sources with spectra (first 5):\n",
+      "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: MIRI\n",
+      "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: NIRSpec\n",
+      "Source: WISE J235402.77+024015.0, Telescope: HST, Instrument: WFC3\n",
+      "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: MIRI\n",
+      "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: NIRSpec\n",
+      "\n",
+      "Top 3 references by number of sources:\n",
+      "Reference: Schm10.1808, Count: 208\n",
+      "Reference: Reid08.1290, Count: 206\n",
+      "Reference: West08, Count: 194\n",
+      "Source: VB 10, Telescope: Spitzer\n",
+      "\n",
+      "WISE sources with spectra (first 5):\n",
+      "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: MIRI\n",
+      "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: NIRSpec\n",
+      "Source: WISE J235402.77+024015.0, Telescope: HST, Instrument: WFC3\n",
+      "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: MIRI\n",
+      "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: NIRSpec\n",
+      "\n",
+      "Top 3 references by number of sources:\n",
+      "Reference: Schm10.1808, Count: 208\n",
+      "Reference: Reid08.1290, Count: 206\n",
+      "Reference: West08, Count: 194\n",
+      "Source: VB 10, Telescope: Spitzer\n",
+      "\n",
+      "WISE sources with spectra (first 5):\n",
+      "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: MIRI\n",
+      "Source: WISE J235402.77+024015.0, Telescope: JWST, Instrument: NIRSpec\n",
+      "Source: WISE J235402.77+024015.0, Telescope: HST, Instrument: WFC3\n",
+      "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: MIRI\n",
+      "Source: WISEP J031325.96+780744.2, Telescope: JWST, Instrument: NIRSpec\n",
+      "\n",
+      "Top 3 references by number of sources:\n",
+      "Reference: Schm10.1808, Count: 208\n",
+      "Reference: Reid08.1290, Count: 206\n",
+      "Reference: West08, Count: 194\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sqlalchemy import text\n",
+    "\n",
+    "# Using connection from the existing database\n",
+    "with db.engine.connect() as conn:\n",
+    "    \n",
+    "    # Query all sources\n",
+    "    result = conn.execute(text(\"SELECT * FROM Sources LIMIT 10\"))\n",
+    "    print(\"First 10 Sources (Raw SQL):\")\n",
+    "    for row in result:\n",
+    "        print(f\"Source: {row.source}, RA: {row.ra}, Dec: {row.dec}\")\n",
+    "\n",
+    "    # Find spectra with a specific instrument\n",
+    "    result = conn.execute(\n",
+    "        text(\"SELECT * FROM Spectra WHERE instrument = :instrument LIMIT 5\"),\n",
+    "        {\"instrument\": \"IRS\"}\n",
+    "    )\n",
+    "    print(\"\\nSpectra from IRS instrument (first 5):\")\n",
+    "    for row in result:\n",
+    "        print(f\"Source: {row.source}, Telescope: {row.telescope}\")\n",
+    "\n",
+    "        # Join query - find all spectra for sources with names containing \"WISE\"\n",
+    "        result = conn.execute(\n",
+    "            text(\"\"\"\n",
+    "            SELECT Sources.source, Spectra.telescope, Spectra.instrument\n",
+    "            FROM Sources \n",
+    "            JOIN Spectra ON Sources.source = Spectra.source\n",
+    "            WHERE Sources.source LIKE :pattern\n",
+    "            LIMIT 5\n",
+    "            \"\"\"),\n",
+    "            {\"pattern\": \"%WISE%\"}\n",
+    "        )\n",
+    "        print(\"\\nWISE sources with spectra (first 5):\")\n",
+    "        for row in result:\n",
+    "            print(f\"Source: {row.source}, Telescope: {row.telescope}, Instrument: {row.instrument}\")\n",
+    "            \n",
+    "        # Aggregate query - count sources by publication reference\n",
+    "        result = conn.execute(\n",
+    "            text(\"\"\"\n",
+    "            SELECT reference, COUNT(*) as count \n",
+    "            FROM Sources \n",
+    "            GROUP BY reference \n",
+    "            ORDER BY count DESC\n",
+    "            LIMIT 3\n",
+    "            \"\"\")\n",
+    "        )\n",
+    "        print(\"\\nTop 3 references by number of sources:\")\n",
+    "        for row in result:\n",
+    "            print(f\"Reference: {row.reference}, Count: {row.count}\")\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "simple-db",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/notebooks/Demo_Visualization_1.0.ipynb b/docs/notebooks/Demo_Visualization_1.0.ipynb
new file mode 100644
index 000000000..ec2203eaa
--- /dev/null
+++ b/docs/notebooks/Demo_Visualization_1.0.ipynb
@@ -0,0 +1,511 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "7f0252a2",
+   "metadata": {},
+   "source": [
+    "# Visualizing Spectra with SIMPLE "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8f242663",
+   "metadata": {},
+   "source": [
+    "## Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "80b0998f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import astropy.units as u\n",
+    "import astropy.constants as const\n",
+    "from astropy.io import fits\n",
+    "from specutils import Spectrum\n",
+    "\n",
+    "from sqlalchemy import and_, or_\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib.ticker import MultipleLocator, FormatStrFormatter, AutoMinorLocator\n",
+    "plt.rcParams['font.family'] = 'serif'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "bf58d6a0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load in the database\n",
+    "from astrodb_utils import load_astrodb\n",
+    "from simple import REFERENCE_TABLES\n",
+    "\n",
+    "SCHEMA_PATH = \"../../simple/schema.yaml\" \n",
+    "recreatedb = False #Set to True or False\n",
+    "db = load_astrodb(\n",
+    "     \"../../SIMPLE.sqlite\", \n",
+    "     recreatedb=recreatedb,  \n",
+    "     reference_tables=REFERENCE_TABLES, \n",
+    "     felis_schema=SCHEMA_PATH\n",
+    "     )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1348cffa",
+   "metadata": {},
+   "source": [
+    "## Lets try first plotting a single spectra from a single source"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5554b341",
+   "metadata": {},
+   "source": [
+    "In this use case, we are looking to plot the spectra for the object with the most spectra available in SIMPLE. Using what we just learned, we can use SQL to query the database for this answer."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "57abb8b5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from specutils import Spectrum\n",
+    "import matplotlib.pyplot as plt\n",
+    "from astropy.io import fits\n",
+    "from matplotlib.ticker import MultipleLocator, FormatStrFormatter, AutoMinorLocator\n",
+    "plt.rcParams['font.family'] = 'serif'"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cabdecd3",
+   "metadata": {},
+   "source": [
+    "Lets do an inventory check of '2MASS J04151954-0935066' using db.inventory (https://astrodbkit.readthedocs.io/en/latest/astrodb.html#astrodbkit.astrodb.Database.inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "ffb5f00c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results = db.inventory(\"2MASS J04151954-0935066\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a9a16c32",
+   "metadata": {},
+   "source": [
+    "Now lets parse through that dictionary output to only view the spectra associated with 2MASS 0415"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "227adcc0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[{'access_url': 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935%20%28LL2%29.txt',\n",
+       "  'original_spectrum': None,\n",
+       "  'local_spectrum': '$BDNYC_spectra/IRS/0415-0935 (LL2).txt',\n",
+       "  'regime': 'mir',\n",
+       "  'telescope': 'Spitzer',\n",
+       "  'instrument': 'IRS',\n",
+       "  'mode': 'Missing',\n",
+       "  'observation_date': datetime.datetime(2005, 9, 6, 0, 0),\n",
+       "  'comments': None,\n",
+       "  'reference': 'PID3259',\n",
+       "  'other_references': None},\n",
+       " {'access_url': 'https://s3.amazonaws.com/bdnyc/IRS/0415-0935.txt',\n",
+       "  'original_spectrum': None,\n",
+       "  'local_spectrum': '$BDNYC_spectra/IRS/0415-0935.txt',\n",
+       "  'regime': 'mir',\n",
+       "  'telescope': 'Spitzer',\n",
+       "  'instrument': 'IRS',\n",
+       "  'mode': 'Missing',\n",
+       "  'observation_date': datetime.datetime(2005, 9, 7, 0, 0),\n",
+       "  'comments': None,\n",
+       "  'reference': 'PID3431',\n",
+       "  'other_references': None},\n",
+       " {'access_url': 'https://bdnyc.s3.amazonaws.com/IRS/2MASS+J04151954-0935066.fits',\n",
+       "  'original_spectrum': 'https://bdnyc.s3.amazonaws.com/IRS/0415-0935_IRS_spectrum.dat',\n",
+       "  'local_spectrum': None,\n",
+       "  'regime': 'mir',\n",
+       "  'telescope': 'Spitzer',\n",
+       "  'instrument': 'IRS',\n",
+       "  'mode': 'SL',\n",
+       "  'observation_date': datetime.datetime(2005, 9, 6, 0, 0),\n",
+       "  'comments': 'SL2,SL1, There are multiple observation dates',\n",
+       "  'reference': 'Suar22',\n",
+       "  'other_references': None},\n",
+       " {'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits',\n",
+       "  'original_spectrum': None,\n",
+       "  'local_spectrum': None,\n",
+       "  'regime': 'nir',\n",
+       "  'telescope': 'Magellan I Baade',\n",
+       "  'instrument': 'FIRE',\n",
+       "  'mode': 'Echelle',\n",
+       "  'observation_date': datetime.datetime(2010, 9, 20, 0, 0),\n",
+       "  'comments': None,\n",
+       "  'reference': 'Alej25',\n",
+       "  'other_references': None},\n",
+       " {'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits',\n",
+       "  'original_spectrum': None,\n",
+       "  'local_spectrum': None,\n",
+       "  'regime': 'nir',\n",
+       "  'telescope': 'JWST',\n",
+       "  'instrument': 'NIRSpec',\n",
+       "  'mode': 'F290LP.G395H',\n",
+       "  'observation_date': datetime.datetime(2022, 10, 16, 0, 0),\n",
+       "  'comments': None,\n",
+       "  'reference': 'Alej25',\n",
+       "  'other_references': None},\n",
+       " {'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits',\n",
+       "  'original_spectrum': None,\n",
+       "  'local_spectrum': None,\n",
+       "  'regime': 'nir',\n",
+       "  'telescope': 'AKARI',\n",
+       "  'instrument': 'IRC',\n",
+       "  'mode': 'IRC04',\n",
+       "  'observation_date': datetime.datetime(2007, 8, 23, 0, 0),\n",
+       "  'comments': None,\n",
+       "  'reference': 'Sora12',\n",
+       "  'other_references': None},\n",
+       " {'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/SpeX/Prism/IRTF_SpeX_2MASS%2BJ04151954-0935066_2003-09-17.fits',\n",
+       "  'original_spectrum': 'https://s3.amazonaws.com/bdnyc/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt',\n",
+       "  'local_spectrum': '$BDNYC_spectra/SpeX/Prism/spex-prism_2MASSIJ0415195-093506_20030917_BUR04B.txt',\n",
+       "  'regime': 'nir',\n",
+       "  'telescope': 'IRTF',\n",
+       "  'instrument': 'SpeX',\n",
+       "  'mode': 'Prism',\n",
+       "  'observation_date': datetime.datetime(2003, 9, 17, 0, 0),\n",
+       "  'comments': None,\n",
+       "  'reference': 'Burg04.2856',\n",
+       "  'other_references': None},\n",
+       " {'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/LRIS/KECK_LRIS_2MASSJ04151954-0935066_T8_LRIS_Burg03.fits',\n",
+       "  'original_spectrum': None,\n",
+       "  'local_spectrum': None,\n",
+       "  'regime': 'optical',\n",
+       "  'telescope': 'Keck I',\n",
+       "  'instrument': 'LRIS',\n",
+       "  'mode': 'Missing',\n",
+       "  'observation_date': datetime.datetime(2001, 2, 20, 0, 0),\n",
+       "  'comments': None,\n",
+       "  'reference': 'Burg03.510',\n",
+       "  'other_references': None},\n",
+       " {'access_url': 'https://bdnyc.s3.us-east-1.amazonaws.com/LRIS/KECK_LRIS_2MASS_J04151954-0935066_2006-12-26.fits',\n",
+       "  'original_spectrum': None,\n",
+       "  'local_spectrum': None,\n",
+       "  'regime': 'optical',\n",
+       "  'telescope': 'Keck I',\n",
+       "  'instrument': 'LRIS',\n",
+       "  'mode': 'Missing',\n",
+       "  'observation_date': datetime.datetime(2006, 12, 26, 0, 0),\n",
+       "  'comments': None,\n",
+       "  'reference': 'Kirk08',\n",
+       "  'other_references': None}]"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results[\"Spectra\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "11009f80",
+   "metadata": {},
+   "source": [
+    "Lets first plot up just one of these spectra, you can directly copy the link from the dictionary and use Spectrum to visualize the data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "95856ade",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'JWST NIRSpec Spectrum of 2MASS J04151954-0935066')"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "jwst = Spectrum.read('https://bdnyc.s3.us-east-1.amazonaws.com/JWST/NIRSpec/jw02124-o059_s00001_nirspec_f290lp-g395h-s200a1-subs200a1_x1d_manual.fits')\n",
+    "jwst.plot()\n",
+    "plt.title('JWST NIRSpec Spectrum of 2MASS J04151954-0935066')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "b4085d54",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'FIRE Spectrum of 2MASS J04151954-0935066')"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fire = Spectrum.read('https://bdnyc.s3.us-east-1.amazonaws.com/FIRE/FIRE_0415-0935.fits')\n",
+    "fire.plot()\n",
+    "plt.title('FIRE Spectrum of 2MASS J04151954-0935066')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "04555395",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'AKARI Spectrum of 2MASS J04151954-0935066')"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "akari = Spectrum.read('https://bdnyc.s3.us-east-1.amazonaws.com/AKARI_2MASS%2BJ04151954-0935066_2007-08-23.fits')\n",
+    "akari.plot()\n",
+    "plt.title('AKARI Spectrum of 2MASS J04151954-0935066')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e109dce7",
+   "metadata": {},
+   "source": [
+    "## Plotting Multiple Spectra of a Single Object"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1a57056b",
+   "metadata": {},
+   "source": [
+    "### Converting wavelength and flux units"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d5bbef16",
+   "metadata": {},
+   "source": [
+    "The Spectrum.read function automatically picks up on the units within the fits file, and you can see from each of these that the flux is at different units so to be able to plot them all together we would need to do some unit conversion to better visualize them. Lets do that next!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 203,
+   "id": "03d1c866",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Converting the outlier spectra to the same units (JWST NIRSpec Spectra is in Jy)\n",
+    "jwst_wavelength, flux = jwst.spectral_axis, jwst.flux\n",
+    "target_unit = u.W / (u.um * u.m**2)  # Desired flux unit\n",
+    " \n",
+    "jwst_flux_converted = flux.to(target_unit, equivalencies=u.spectral_density(jwst_wavelength))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fe420ad0",
+   "metadata": {},
+   "source": [
+    "### Plotting"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 204,
+   "id": "68f9176a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12, 8))\n",
+    "\n",
+    "plt.plot(jwst_wavelength, jwst_flux_converted, label='JWST NIRSpec')\n",
+    "plt.plot(akari.spectral_axis, akari.flux, label='AKARI')\n",
+    "plt.plot(fire.spectral_axis, fire.flux, label='FIRE')\n",
+    "\n",
+    "# Add labels and title\n",
+    "plt.xlabel('Wavelength (μm)')\n",
+    "plt.ylabel('Flux (W / (μm m²))')\n",
+    "plt.title('Multiple Spectra for 2MASS J04151954-0935066')\n",
+    "plt.yscale('log')\n",
+    "plt.legend()\n",
+    "plt.grid(True, alpha=0.3)\n",
+    "\n",
+    "# Display the plot\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d5bd6a48",
+   "metadata": {},
+   "source": [
+    "### Adding Formatting (Making it Fancy)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 205,
+   "id": "8be90a1e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12, 8))\n",
+    "\n",
+    "plt.plot(jwst_wavelength, jwst_flux_converted, label='JWST NIRSpec')\n",
+    "plt.plot(akari.spectral_axis, akari.flux, label='AKARI')\n",
+    "plt.plot(fire.spectral_axis, fire.flux, label='FIRE')\n",
+    "\n",
+    "# Add labels and title\n",
+    "plt.xlabel('Wavelength (μm)')\n",
+    "plt.ylabel('Flux (W / (μm m²), Normalized)')\n",
+    "plt.title('2MASS J04151954-0935066')\n",
+    "plt.grid(True, alpha=0.3)\n",
+    "\n",
+    "jwst_range = [jwst_wavelength.value.min(), jwst_wavelength.value.max()]\n",
+    "akari_range = [akari.spectral_axis.value.min(), akari.spectral_axis.value.max()]\n",
+    "fire_range = [fire.spectral_axis.value.min(), fire.spectral_axis.value.max()]\n",
+    "\n",
+    "# Annotate the plot with Matplotlib's hlines and text functions\n",
+    "\n",
+    "#JWST\n",
+    "plt.hlines(8.8e-16, jwst_range[0], jwst_range[1], \n",
+    "           colors=plt.gca().lines[0].get_color(), linestyles='-', linewidth=2, alpha=0.7)\n",
+    "plt.text((jwst_range[0] + jwst_range[1])/2, 8.9e-16, 'JWST NIRSpec', \n",
+    "         color=plt.gca().lines[0].get_color(), fontweight='bold', ha='center')\n",
+    "\n",
+    "#AKARI\n",
+    "plt.hlines(8.3e-16, akari_range[0], akari_range[1], \n",
+    "           colors=plt.gca().lines[1].get_color(), linestyles='-', linewidth=2, alpha=0.7)\n",
+    "plt.text((akari_range[0] + akari_range[1])/2, 8.4e-16, 'AKARI', \n",
+    "         color=plt.gca().lines[1].get_color(), fontweight='bold', ha='center')\n",
+    "\n",
+    "#FIRE \n",
+    "plt.hlines(0.55e-15, fire_range[0], fire_range[1], \n",
+    "           colors=plt.gca().lines[2].get_color(), linestyles='-', linewidth=2, alpha=0.7)\n",
+    "plt.text((fire_range[0] + fire_range[1])/2, 0.56e-15, 'FIRE', \n",
+    "         color=plt.gca().lines[2].get_color(), fontweight='bold', ha='center')\n",
+    "\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "simple-db",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/notebooks/Demo_Visualization_1.5.ipynb b/docs/notebooks/Demo_Visualization_1.5.ipynb
new file mode 100644
index 000000000..40c71bba2
--- /dev/null
+++ b/docs/notebooks/Demo_Visualization_1.5.ipynb
@@ -0,0 +1,390 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "a8cadec5",
+   "metadata": {},
+   "source": [
+    "## Query by Fundamental Parameters with SIMPLE"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b115ead0",
+   "metadata": {},
+   "source": [
+    "## Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "c3f07789",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import astropy.units as u\n",
+    "import astropy.constants as const\n",
+    "from astropy.io import fits\n",
+    "from specutils import Spectrum\n",
+    "\n",
+    "from sqlalchemy import and_, or_\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib.ticker import MultipleLocator, FormatStrFormatter, AutoMinorLocator\n",
+    "plt.rcParams['font.family'] = 'serif'"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0a1cce5a",
+   "metadata": {},
+   "source": [
+    "## Load the Database"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "df6e6e0f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load in the database\n",
+    "from astrodb_utils import load_astrodb\n",
+    "from simple import REFERENCE_TABLES\n",
+    "\n",
+    "SCHEMA_PATH = \"../../simple/schema.yaml\" \n",
+    "recreatedb = False #Set to True or False\n",
+    "db = load_astrodb(\n",
+    "     \"../../SIMPLE.sqlite\", \n",
+    "     recreatedb=recreatedb,  \n",
+    "     reference_tables=REFERENCE_TABLES, \n",
+    "     felis_schema=SCHEMA_PATH\n",
+    "     )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "feed3cd8",
+   "metadata": {},
+   "source": [
+    "## Query by Fundamental Parameter"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "60cbbf39",
+   "metadata": {},
+   "source": [
+    "Lets try plotting spectra from multiple sources using a couple different metrics we can decide on within SIMPLE"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c62e0ca6",
+   "metadata": {},
+   "source": [
+    "To further understand what different ways you can query obects you can reference the schema in simple/schema.yaml and for a visual reference the github documentation: https://github.com/SIMPLE-AstroDB/SIMPLE-db/tree/main/docs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "42ff9efd",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Found 55 spectra for sources with T_eff between 1200-1300K within SIMPLE.\n",
+      "Found 20 unique sources.\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Create a query to join ModeledParameters and Spectra tables\n",
+    "# This will find all spectra for sources with T_eff between 1100-1200K\n",
+    "spectra_temp_query = \"\"\"\n",
+    "SELECT \n",
+    "    mp.source, \n",
+    "    mp.parameter,\n",
+    "    mp.value,\n",
+    "    s.regime, \n",
+    "    s.instrument, \n",
+    "    s.telescope, \n",
+    "    s.access_url\n",
+    "\n",
+    "FROM ModeledParameters mp\n",
+    "JOIN Spectra s ON mp.source = s.source\n",
+    "WHERE mp.parameter = 'T eff' \n",
+    "    AND mp.value BETWEEN 1300 AND 1350\n",
+    "ORDER BY mp.value, mp.source, s.regime\n",
+    "\"\"\"\n",
+    "\n",
+    "# Execute the query\n",
+    "low_temp = db.sql_query(spectra_temp_query, fmt='pandas')\n",
+    "print(f\"Found {len(low_temp)} spectra for sources with T_eff between 1200-1300K within SIMPLE.\") #How many spectra did we find?\n",
+    "print(f\"Found {len(low_temp['source'].unique())} unique sources.\") #How many unique sources did we find?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "4f5eda18",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                      source parameter   value   regime instrument  \\\n",
+      "0     2MASSI J2254188+312349     T eff  1300.0      mir        IRS   \n",
+      "1   SDSS J151643.01+305344.4     T eff  1300.0      mir        IRS   \n",
+      "2    SIMP J013656.5+093347.3     T eff  1300.0      mir        IRS   \n",
+      "3    SIMP J013656.5+093347.3     T eff  1300.0      nir   XShooter   \n",
+      "4    SIMP J013656.5+093347.3     T eff  1300.0  optical   XShooter   \n",
+      "5    2MASS J05591914-1404488     T eff  1301.0      mir        IRS   \n",
+      "6    2MASS J05591914-1404488     T eff  1301.0      nir       SpeX   \n",
+      "7    2MASS J10430758+2225236     T eff  1301.0      nir       SpeX   \n",
+      "8    2MASS J10430758+2225236     T eff  1301.0  optical     GMOS-N   \n",
+      "9    2MASS J14482563+1031590     T eff  1315.0      mir        IRS   \n",
+      "10   2MASS J14482563+1031590     T eff  1315.0      nir       SpeX   \n",
+      "11   2MASS J14482563+1031590     T eff  1315.0  optical   R-C Spec   \n",
+      "12   2MASS J02050344+1251422     T eff  1321.0      nir       SpeX   \n",
+      "13   2MASS J02050344+1251422     T eff  1321.0  optical       LRIS   \n",
+      "14   2MASS J00345684-0706013     T eff  1323.0      nir       SpeX   \n",
+      "15   2MASS J15074769-1627386     T eff  1325.0      mir        IRS   \n",
+      "16   2MASS J15074769-1627386     T eff  1325.0      nir       SpeX   \n",
+      "17   2MASS J15074769-1627386     T eff  1325.0      nir       SpeX   \n",
+      "18   2MASS J05395200-0059019     T eff  1327.0      mir        IRS   \n",
+      "19   2MASS J05395200-0059019     T eff  1327.0      nir       SpeX   \n",
+      "20   2MASS J05395200-0059019     T eff  1327.0      nir   XShooter   \n",
+      "21   2MASS J05395200-0059019     T eff  1327.0  optical   XShooter   \n",
+      "22   2MASS J22120703+3430351     T eff  1329.0      nir       SpeX   \n",
+      "23   2MASS J22120703+3430351     T eff  1329.0  optical     GMOS-N   \n",
+      "24   2MASS J08251968+2115521     T eff  1341.0      mir        IRS   \n",
+      "25   2MASS J08251968+2115521     T eff  1341.0      nir       SpeX   \n",
+      "26   2MASS J08251968+2115521     T eff  1341.0      nir       SpeX   \n",
+      "27   2MASS J08251968+2115521     T eff  1341.0  optical       LRIS   \n",
+      "28   2MASS J03185403-3421292     T eff  1344.0  optical     GMOS-S   \n",
+      "29   2MASS J15382417-1953116     T eff  1346.0      nir       SpeX   \n",
+      "30   2MASS J15382417-1953116     T eff  1346.0  optical       LRIS   \n",
+      "31   2MASS J05120636-2949540     T eff  1349.0      nir       SpeX   \n",
+      "32   2MASS J05120636-2949540     T eff  1349.0  optical   R-C Spec   \n",
+      "\n",
+      "       telescope                                         access_url  \n",
+      "0        Spitzer  https://bdnyc.s3.us-east-1.amazonaws.com/IRS/2...  \n",
+      "1        Spitzer  https://bdnyc.s3.amazonaws.com/IRS/2MASS+J1516...  \n",
+      "2        Spitzer  https://bdnyc.s3.amazonaws.com/IRS/SIMP+J01365...  \n",
+      "3        ESO VLT  https://bdnyc.s3.amazonaws.com/xshooter/IPMS01...  \n",
+      "4        ESO VLT  https://bdnyc.s3.amazonaws.com/xshooter/IPMS01...  \n",
+      "5        Spitzer  https://bdnyc.s3.amazonaws.com/IRS/2MASS+J0559...  \n",
+      "6           IRTF  https://s3.amazonaws.com/bdnyc/SpeX/IRTF%20Lib...  \n",
+      "7           IRTF  https://s3.amazonaws.com/bdnyc/SpeX/Prism/U109...  \n",
+      "8   Gemini North  https://s3.amazonaws.com/bdnyc/optical_spectra...  \n",
+      "9        Spitzer  https://bdnyc.s3.amazonaws.com/IRS/2MASS+J1448...  \n",
+      "10          IRTF  https://s3.amazonaws.com/bdnyc/u20587_050323.fits  \n",
+      "11       CTIO 4m         https://s3.amazonaws.com/bdnyc/U20587.fits  \n",
+      "12          IRTF  https://s3.amazonaws.com/bdnyc/SpeX/Prism/spex...  \n",
+      "13        Keck I  https://s3.amazonaws.com/bdnyc/LRIS/U13076_lri...  \n",
+      "14          IRTF  https://s3.amazonaws.com/bdnyc/nir_spectra/U50...  \n",
+      "15       Spitzer  https://bdnyc.s3.amazonaws.com/IRS/2MASS+J1507...  \n",
+      "16          IRTF  https://s3.amazonaws.com/bdnyc/nir_spectra/2M1...  \n",
+      "17          IRTF  https://s3.amazonaws.com/bdnyc/L5_2MASSJ1507-1...  \n",
+      "18       Spitzer  https://bdnyc.s3.amazonaws.com/IRS/2MASS+J0539...  \n",
+      "19          IRTF  https://s3.amazonaws.com/bdnyc/nir_spectra/U50...  \n",
+      "20       ESO VLT  https://bdnyc.s3.amazonaws.com/xshooter/SD0539...  \n",
+      "21       ESO VLT  https://bdnyc.s3.amazonaws.com/xshooter/SD0539...  \n",
+      "22          IRTF  https://s3.amazonaws.com/bdnyc/SpeX/Prism/U209...  \n",
+      "23  Gemini North  https://s3.amazonaws.com/bdnyc/optical_spectra...  \n",
+      "24       Spitzer  https://bdnyc.s3.amazonaws.com/IRS/2MASS+J0825...  \n",
+      "25          IRTF  https://s3.amazonaws.com/bdnyc/nir_spectra/u10...  \n",
+      "26          IRTF  https://s3.amazonaws.com/bdnyc/L7.5_2MASSJ0825...  \n",
+      "27        Keck I  https://s3.amazonaws.com/bdnyc/U10721_lris_141...  \n",
+      "28  Gemini South    https://s3.amazonaws.com/bdnyc/GMOS/U10176.fits  \n",
+      "29          IRTF  https://s3.amazonaws.com/bdnyc/nir_spectra/U20...  \n",
+      "30        Keck I  https://s3.amazonaws.com/bdnyc/optical_spectra...  \n",
+      "31          IRTF  https://s3.amazonaws.com/bdnyc/nir_spectra/U10...  \n",
+      "32       CTIO 4m  https://s3.amazonaws.com/bdnyc/optical_spectra...  \n",
+      "['Spitzer' 'ESO VLT' 'IRTF' 'Gemini North' 'CTIO 4m' 'Keck I'\n",
+      " 'Gemini South']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Filter the fits_spectra DataFrame to only include rows where access_url ends with \"fits\"\n",
+    "fits_spectra = low_temp[low_temp['access_url'].str.endswith('fits')]\n",
+    "fits_spectra = fits_spectra.reset_index(drop=True)\n",
+    "print(fits_spectra)\n",
+    "print(fits_spectra['telescope'].unique())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c403538e",
+   "metadata": {},
+   "source": [
+    "## Plotting"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "67075f92",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "from specutils import Spectrum1D\n",
+    "import astropy.units as u\n",
+    "import matplotlib.cm as cm\n",
+    "import warnings\n",
+    "warnings.filterwarnings('ignore')\n",
+    "\n",
+    "plt.figure(figsize=(12, 8))\n",
+    "\n",
+    "# Create a colormap to assign different colors to each spectrum\n",
+    "n = 20\n",
+    "colors = cm.Set3(np.linspace(0, 1, 55))\n",
+    "\n",
+    "# Loop through spectra\n",
+    "for i in range(len(fits_spectra)):\n",
+    "    source = fits_spectra.iloc[i]['source']\n",
+    "    temp = fits_spectra.iloc[i]['value']\n",
+    "\n",
+    "    try:\n",
+    "        spec = Spectrum.read(fits_spectra.iloc[i]['access_url'], format = \"wcs1d-fits\")\n",
+    "        plt.plot(spec.spectral_axis, spec.flux, label=f\"{source}, ({temp}K), {fits_spectra.iloc[i]['telescope']})\", color = colors[i],  alpha = 0.75)\n",
+    "    except Exception as e:\n",
+    "        continue\n",
+    "            \n",
+    "\n",
+    "plt.xlabel('Wavelength (Angstroms)')\n",
+    "plt.ylabel('Flux (erg/Å/s/cm²)')\n",
+    "plt.title('Spectra w/ T_eff 1100-1300K')\n",
+    "plt.legend()\n",
+    "# plt.yscale('log')\n",
+    "# plt.ylim(10e-8, 10) \n",
+    "# plt.xlim(0.50, 1.5)\n",
+    "plt.grid(True, alpha=0.3)\n",
+    "plt.show()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "47f71bb8",
+   "metadata": {},
+   "source": [
+    "## Bonus Example, Query by Count"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "39401535",
+   "metadata": {},
+   "source": [
+    "Using SQL_Query (https://astrodbkit.readthedocs.io/en/latest/astrodb.html#astrodbkit.astrodb.Database.sql_query) we can pull out the values for various modelled parameters and visualize them together to get trends in the data. Lets take this example of comparing temperature to mass for objects with recorded modelled parameters for both. \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "4fadd112",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Found 2692 objects with values for both Temperature and Mass.\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Get data from database\n",
+    "query = \"\"\"\n",
+    "SELECT \n",
+    "    s1.source, \n",
+    "    s1.value as temperature, \n",
+    "    s2.value as mass\n",
+    "FROM ModeledParameters s1\n",
+    "JOIN ModeledParameters s2 ON s1.source = s2.source\n",
+    "WHERE s1.parameter = 'T eff' AND s2.parameter = 'mass'\n",
+    "\"\"\"\n",
+    "\n",
+    "# Load data into a table\n",
+    "data = db.sql_query(query, fmt='pandas')\n",
+    "data.columns = ['Source', 'Temperature', 'Mass']\n",
+    "print(f\"Found {len(data)} objects with values for both Temperature and Mass.\")\n",
+    "\n",
+    "# Make the plot\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "plt.scatter(data['Temperature'], data['Mass'], alpha=0.7, color = \"slateblue\")\n",
+    "\n",
+    "plt.xlabel('Temperature (K)')\n",
+    "plt.ylabel('Mass (Jupiter Masses)')\n",
+    "plt.title('Temperature vs Mass')\n",
+    "plt.grid(True, alpha=0.3)\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "83176670",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "simple-db",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
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+   "pygments_lexer": "ipython3",
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+ },
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+ "nbformat_minor": 5
+}