diff --git a/Cosyne_2024/nwb-cosyne2024.ipynb b/Cosyne_2024/nwb-cosyne2024.ipynb
new file mode 100644
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--- /dev/null
+++ b/Cosyne_2024/nwb-cosyne2024.ipynb
@@ -0,0 +1,1354 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "4a8f7d82-59dd-4de1-97eb-aa784dba3df3",
+   "metadata": {},
+   "source": [
+    "# Streaming and interacting with NWB data from DANDI"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dc9b4483-c7da-47f5-926e-2c17a6e1af2d",
+   "metadata": {},
+   "source": [
+    "First, let's import a few classes. If you are *not* running this notebook on DANDI Hub, you will need to install these packages using `pip` or your favorite Python package manager. For example:\n",
+    "```\n",
+    "pip install dandi pynwb fsspec requests aiohttp matplotlib\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "4333d07b-d20a-4fb6-8e16-389932aa2f11",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from dandi.dandiapi import DandiAPIClient\n",
+    "import fsspec\n",
+    "from fsspec.implementations.cached import CachingFileSystem\n",
+    "import h5py\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import pynwb"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d0d589f1-1741-4636-8018-5176164d8793",
+   "metadata": {},
+   "source": [
+    "The data used in this tutorial were used in this publication: [Sargolini, et al. \"Conjunctive representation of position, direction, and velocity in entorhinal cortex.\" Science 312.5774 (2006): 758-762](https://www.science.org/doi/10.1126/science.1125572). The data can be found on the DANDI Archive in [Dandiset 000582](https://dandiarchive.org/dandiset/000582)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "69eee770-5623-4121-b353-b591c5462a64",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dandiset_id = \"000582\"\n",
+    "filepath = \"sub-10073/sub-10073_ses-17010302_behavior+ecephys.nwb\"\n",
+    "with DandiAPIClient() as client:\n",
+    "    asset = client.get_dandiset(dandiset_id, 'draft').get_asset_by_path(filepath)\n",
+    "    s3_url = asset.get_content_url(follow_redirects=1, strip_query=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "d4fd70d1-5c5c-42e0-8b78-fb64e91bf1b4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'https://dandiarchive.s3.amazonaws.com/blobs/26a/22c/26a22c31-09bc-43a4-9187-edc7394ed12c'"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s3_url"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "b98c8a4e-8305-4b9d-83e2-6b29e849cf64",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create a virtual http filesystem with local caching\n",
+    "fs = CachingFileSystem(\n",
+    "    fs=fsspec.filesystem(\"http\"),\n",
+    "    cache_storage=\"nwb-cache\",  # local folder for the cache\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "0ab107e3-efa5-47a6-be09-4668c632eeac",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# open the file using the S3 URL\n",
+    "f = fs.open(s3_url, \"rb\")\n",
+    "file = h5py.File(f)\n",
+    "io = pynwb.NWBHDF5IO(file=file)\n",
+    "nwbfile = io.read()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5e359eb2-2c25-45ec-ad68-31400bde274b",
+   "metadata": {},
+   "source": [
+    "You can print the `NWBFile` object in a Jupyter notebook to get a simplified, interactive representation of the contents of the NWB file."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "7bf8d635-00d9-4f61-9b64-988a3be64306",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "        <style>\n",
+       "            .container-fields {\n",
+       "                font-family: \"Open Sans\", Arial, sans-serif;\n",
+       "            }\n",
+       "            .container-fields .field-value {\n",
+       "                color: #00788E;\n",
+       "            }\n",
+       "            .container-fields details > summary {\n",
+       "                cursor: pointer;\n",
+       "                display: list-item;\n",
+       "            }\n",
+       "            .container-fields details > summary:hover {\n",
+       "                color: #0A6EAA;\n",
+       "            }\n",
+       "        </style>\n",
+       "        \n",
+       "        <script>\n",
+       "            function copyToClipboard(text) {\n",
+       "                navigator.clipboard.writeText(text).then(function() {\n",
+       "                    console.log('Copied to clipboard: ' + text);\n",
+       "                }, function(err) {\n",
+       "                    console.error('Could not copy text: ', err);\n",
+       "                });\n",
+       "            }\n",
+       "\n",
+       "            document.addEventListener('DOMContentLoaded', function() {\n",
+       "                let fieldKeys = document.querySelectorAll('.container-fields .field-key');\n",
+       "                fieldKeys.forEach(function(fieldKey) {\n",
+       "                    fieldKey.addEventListener('click', function() {\n",
+       "                        let accessCode = fieldKey.getAttribute('title').replace('Access code: ', '');\n",
+       "                        copyToClipboard(accessCode);\n",
+       "                    });\n",
+       "                });\n",
+       "            });\n",
+       "        </script>\n",
+       "        <div class='container-wrap'><div class='container-header'><div class='xr-obj-type'><h3>root (NWBFile)</h3></div></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".session_description\">session_description: </span><span class=\"field-value\">This session includes spike and position times for recorded cells from a Long Evans rat that was running in a 1 x 1 meter enclosure. The cells were recorded in the dorsocaudal 25% portion of the medial entorhinal cortex (MEC).Position is given for two LEDs to enable calculation of head direction.</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".identifier\">identifier: </span><span class=\"field-value\">294b7de1-a624-44d8-b1a1-28028dd2cf0c</span></div><details><summary style=\"display: list-item; margin-left: 0px;\" class=\"container-fields field-key\" title=\".session_start_time\"><b>session_start_time</b></summary><span class=\"field-key\">1900-01-01 00:00:00+01:00</span></details><details><summary style=\"display: list-item; margin-left: 0px;\" class=\"container-fields field-key\" title=\".timestamps_reference_time\"><b>timestamps_reference_time</b></summary><span class=\"field-key\">1900-01-01 00:00:00+01:00</span></details><details><summary style=\"display: list-item; margin-left: 0px;\" class=\"container-fields field-key\" title=\".file_create_date\"><b>file_create_date</b></summary><details><summary style=\"display: list-item; margin-left: 20px;\" class=\"container-fields field-key\" title=\".file_create_date[0]\"><b>0</b></summary><span class=\"field-key\">2023-09-16 15:50:09.775622+02:00</span></details></details><details><summary style=\"display: list-item; margin-left: 0px;\" class=\"container-fields field-key\" title=\".experimenter\"><b>experimenter</b></summary><span class=\"field-key\">('Sargolini, Francesca',)</span></details><details><summary style=\"display: list-item; margin-left: 0px;\" class=\"container-fields field-key\" title=\".related_publications\"><b>related_publications</b></summary><span class=\"field-key\">('https://doi.org/10.1126/science.1125572',)</span></details><details><summary style=\"display: list-item; margin-left: 0px;\" class=\"container-fields field-key\" title=\".acquisition\"><b>acquisition</b></summary><details><summary style=\"display: list-item; margin-left: 20px;\" class=\"container-fields field-key\" title=\".acquisition['ElectricalSeries']\"><b>ElectricalSeries</b></summary><div style=\"margin-left: 40px;\" class=\"container-fields\"><span class=\"field-key\" title=\".acquisition['ElectricalSeries'].starting_time\">starting_time: </span><span class=\"field-value\">0.0</span></div><div style=\"margin-left: 40px;\" class=\"container-fields\"><span class=\"field-key\" title=\".acquisition['ElectricalSeries'].rate\">rate: </span><span class=\"field-value\">4800.0</span></div><div style=\"margin-left: 40px;\" class=\"container-fields\"><span class=\"field-key\" title=\".acquisition['ElectricalSeries'].resolution\">resolution: </span><span class=\"field-value\">-1.0</span></div><div style=\"margin-left: 40px;\" class=\"container-fields\"><span class=\"field-key\" title=\".acquisition['ElectricalSeries'].comments\">comments: </span><span class=\"field-value\">no comments</span></div><div style=\"margin-left: 40px;\" class=\"container-fields\"><span class=\"field-key\" title=\".acquisition['ElectricalSeries'].description\">description: </span><span class=\"field-value\">The EEG signals from one electrode amplified 8000-10000 times, lowpass-filtered at 500 Hz (single pole), and stored at 4800 Hz (16 bits/sample).</span></div><div style=\"margin-left: 40px;\" class=\"container-fields\"><span class=\"field-key\" title=\".acquisition['ElectricalSeries'].conversion\">conversion: </span><span class=\"field-value\">1e-06</span></div><div style=\"margin-left: 40px;\" class=\"container-fields\"><span class=\"field-key\" title=\".acquisition['ElectricalSeries'].offset\">offset: </span><span class=\"field-value\">0.0</span></div><div style=\"margin-left: 40px;\" class=\"container-fields\"><span class=\"field-key\" title=\".acquisition['ElectricalSeries'].unit\">unit: </span><span class=\"field-value\">volts</span></div><details><summary style=\"display: list-item; margin-left: 40px;\" class=\"container-fields field-key\" title=\".acquisition['ElectricalSeries'].data\"><b>data</b></summary></details><div style=\"margin-left: 40px;\" class=\"container-fields\"><span class=\"field-key\" title=\".acquisition['ElectricalSeries'].starting_time_unit\">starting_time_unit: </span><span class=\"field-value\">seconds</span></div><details><summary style=\"display: list-item; margin-left: 40px;\" class=\"container-fields field-key\" title=\".acquisition['ElectricalSeries'].electrodes\"><b>electrodes</b></summary><div style=\"margin-left: 60px;\" class=\"container-fields\"><span class=\"field-key\" title=\".acquisition['ElectricalSeries'].electrodes.description\">description: </span><span class=\"field-value\">all electrodes</span></div><details><summary style=\"display: list-item; margin-left: 60px;\" class=\"container-fields field-key\" title=\".acquisition['ElectricalSeries'].electrodes.table\"><b>table</b></summary><div style=\"margin-left: 80px;\" class=\"container-fields\"><span class=\"field-key\" title=\".acquisition['ElectricalSeries'].electrodes.table\">description: </span><span class=\"field-value\">metadata about extracellular electrodes</span></div><details><summary style=\"display: list-item; margin-left: 80px;\" class=\"container-fields field-key\" title=\".acquisition['ElectricalSeries'].electrodes.table\"><b>table</b></summary><table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>location</th>\n",
+       "      <th>group</th>\n",
+       "      <th>group_name</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>MEC</td>\n",
+       "      <td>ElectrodeGroup pynwb.ecephys.ElectrodeGroup at 0x140289108930192\\nFields:\\n  description: The name of the ElectrodeGroup this electrode is a part of.\\n  device: EEG pynwb.device.Device at 0x140289108926288\\nFields:\\n  description: The device used to record EEG signals.\\n\\n  location: MEC\\n</td>\n",
+       "      <td>ElectrodeGroup</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table></details></details></details></details></details><details><summary style=\"display: list-item; margin-left: 0px;\" class=\"container-fields field-key\" title=\".keywords\"><b>keywords</b></summary></details><details><summary style=\"display: list-item; margin-left: 0px;\" class=\"container-fields field-key\" title=\".processing\"><b>processing</b></summary><details><summary style=\"display: list-item; margin-left: 20px;\" class=\"container-fields field-key\" title=\".processing['behavior']\"><b>behavior</b></summary><div style=\"margin-left: 40px;\" class=\"container-fields\"><span class=\"field-key\" title=\".processing['behavior'].description\">description: </span><span class=\"field-value\">Processed behavioral data.</span></div><details><summary style=\"display: list-item; margin-left: 40px;\" class=\"container-fields field-key\" title=\".processing['behavior'].data_interfaces\"><b>data_interfaces</b></summary><details><summary style=\"display: list-item; margin-left: 60px;\" class=\"container-fields field-key\" title=\".processing['behavior'].data_interfaces['Position']\"><b>Position</b></summary><details><summary style=\"display: list-item; margin-left: 80px;\" class=\"container-fields field-key\" title=\".processing['behavior'].data_interfaces['Position'].spatial_series\"><b>spatial_series</b></summary><details><summary style=\"display: list-item; margin-left: 100px;\" class=\"container-fields field-key\" title=\".processing['behavior'].data_interfaces['Position'].spatial_series['SpatialSeriesLED1']\"><b>SpatialSeriesLED1</b></summary><div style=\"margin-left: 120px;\" class=\"container-fields\"><span class=\"field-key\" title=\".processing['behavior'].data_interfaces['Position'].spatial_series['SpatialSeriesLED1'].resolution\">resolution: </span><span class=\"field-value\">-1.0</span></div><div style=\"margin-left: 120px;\" class=\"container-fields\"><span class=\"field-key\" title=\".processing['behavior'].data_interfaces['Position'].spatial_series['SpatialSeriesLED1'].comments\">comments: </span><span class=\"field-value\">no comments</span></div><div style=\"margin-left: 120px;\" class=\"container-fields\"><span class=\"field-key\" title=\".processing['behavior'].data_interfaces['Position'].spatial_series['SpatialSeriesLED1'].description\">description: </span><span class=\"field-value\">Position (x, y) for the first tracking LED.</span></div><div style=\"margin-left: 120px;\" class=\"container-fields\"><span class=\"field-key\" title=\".processing['behavior'].data_interfaces['Position'].spatial_series['SpatialSeriesLED1'].conversion\">conversion: </span><span class=\"field-value\">0.01</span></div><div style=\"margin-left: 120px;\" class=\"container-fields\"><span class=\"field-key\" title=\".processing['behavior'].data_interfaces['Position'].spatial_series['SpatialSeriesLED1'].offset\">offset: </span><span class=\"field-value\">0.0</span></div><div style=\"margin-left: 120px;\" class=\"container-fields\"><span class=\"field-key\" title=\".processing['behavior'].data_interfaces['Position'].spatial_series['SpatialSeriesLED1'].unit\">unit: </span><span class=\"field-value\">meters</span></div><details><summary style=\"display: list-item; margin-left: 120px;\" class=\"container-fields field-key\" title=\".processing['behavior'].data_interfaces['Position'].spatial_series['SpatialSeriesLED1'].data\"><b>data</b></summary></details><details><summary style=\"display: list-item; margin-left: 120px;\" class=\"container-fields field-key\" title=\".processing['behavior'].data_interfaces['Position'].spatial_series['SpatialSeriesLED1'].timestamps\"><b>timestamps</b></summary></details><div style=\"margin-left: 120px;\" class=\"container-fields\"><span class=\"field-key\" title=\".processing['behavior'].data_interfaces['Position'].spatial_series['SpatialSeriesLED1'].timestamps_unit\">timestamps_unit: </span><span class=\"field-value\">seconds</span></div><div style=\"margin-left: 120px;\" class=\"container-fields\"><span class=\"field-key\" title=\".processing['behavior'].data_interfaces['Position'].spatial_series['SpatialSeriesLED1'].interval\">interval: </span><span class=\"field-value\">1</span></div><div style=\"margin-left: 120px;\" class=\"container-fields\"><span class=\"field-key\" title=\".processing['behavior'].data_interfaces['Position'].spatial_series['SpatialSeriesLED1'].reference_frame\">reference_frame: </span><span class=\"field-value\">(0,0) is not known.</span></div></details></details></details></details></details><details><summary style=\"display: list-item; margin-left: 20px;\" class=\"container-fields field-key\" title=\".processing['ecephys']\"><b>ecephys</b></summary><div style=\"margin-left: 40px;\" class=\"container-fields\"><span class=\"field-key\" title=\".processing['ecephys'].description\">description: </span><span class=\"field-value\">Processed electrical series data.</span></div><details><summary style=\"display: list-item; margin-left: 40px;\" class=\"container-fields field-key\" title=\".processing['ecephys'].data_interfaces\"><b>data_interfaces</b></summary><details><summary style=\"display: list-item; margin-left: 60px;\" class=\"container-fields field-key\" title=\".processing['ecephys'].data_interfaces['LFP']\"><b>LFP</b></summary><details><summary style=\"display: list-item; margin-left: 80px;\" class=\"container-fields field-key\" title=\".processing['ecephys'].data_interfaces['LFP'].electrical_series\"><b>electrical_series</b></summary><details><summary style=\"display: list-item; margin-left: 100px;\" class=\"container-fields field-key\" title=\".processing['ecephys'].data_interfaces['LFP'].electrical_series['ElectricalSeriesLFP']\"><b>ElectricalSeriesLFP</b></summary><div style=\"margin-left: 120px;\" class=\"container-fields\"><span class=\"field-key\" title=\".processing['ecephys'].data_interfaces['LFP'].electrical_series['ElectricalSeriesLFP'].starting_time\">starting_time: </span><span class=\"field-value\">0.0</span></div><div style=\"margin-left: 120px;\" class=\"container-fields\"><span class=\"field-key\" title=\".processing['ecephys'].data_interfaces['LFP'].electrical_series['ElectricalSeriesLFP'].rate\">rate: </span><span class=\"field-value\">250.0</span></div><div style=\"margin-left: 120px;\" class=\"container-fields\"><span class=\"field-key\" title=\".processing['ecephys'].data_interfaces['LFP'].electrical_series['ElectricalSeriesLFP'].resolution\">resolution: </span><span class=\"field-value\">-1.0</span></div><div style=\"margin-left: 120px;\" class=\"container-fields\"><span class=\"field-key\" title=\".processing['ecephys'].data_interfaces['LFP'].electrical_series['ElectricalSeriesLFP'].comments\">comments: </span><span class=\"field-value\">no comments</span></div><div style=\"margin-left: 120px;\" class=\"container-fields\"><span class=\"field-key\" title=\".processing['ecephys'].data_interfaces['LFP'].electrical_series['ElectricalSeriesLFP'].description\">description: </span><span class=\"field-value\">The EEG signals from one electrode stored at 250 Hz.</span></div><div style=\"margin-left: 120px;\" class=\"container-fields\"><span class=\"field-key\" title=\".processing['ecephys'].data_interfaces['LFP'].electrical_series['ElectricalSeriesLFP'].conversion\">conversion: </span><span class=\"field-value\">1e-06</span></div><div style=\"margin-left: 120px;\" class=\"container-fields\"><span class=\"field-key\" title=\".processing['ecephys'].data_interfaces['LFP'].electrical_series['ElectricalSeriesLFP'].offset\">offset: </span><span class=\"field-value\">0.0</span></div><div style=\"margin-left: 120px;\" class=\"container-fields\"><span class=\"field-key\" title=\".processing['ecephys'].data_interfaces['LFP'].electrical_series['ElectricalSeriesLFP'].unit\">unit: </span><span class=\"field-value\">volts</span></div><details><summary style=\"display: list-item; margin-left: 120px;\" class=\"container-fields field-key\" title=\".processing['ecephys'].data_interfaces['LFP'].electrical_series['ElectricalSeriesLFP'].data\"><b>data</b></summary></details><div style=\"margin-left: 120px;\" class=\"container-fields\"><span class=\"field-key\" title=\".processing['ecephys'].data_interfaces['LFP'].electrical_series['ElectricalSeriesLFP'].starting_time_unit\">starting_time_unit: </span><span class=\"field-value\">seconds</span></div><details><summary style=\"display: list-item; margin-left: 120px;\" class=\"container-fields field-key\" title=\".processing['ecephys'].data_interfaces['LFP'].electrical_series['ElectricalSeriesLFP'].electrodes\"><b>electrodes</b></summary><div style=\"margin-left: 140px;\" class=\"container-fields\"><span class=\"field-key\" title=\".processing['ecephys'].data_interfaces['LFP'].electrical_series['ElectricalSeriesLFP'].electrodes.description\">description: </span><span class=\"field-value\">all electrodes</span></div><details><summary style=\"display: list-item; margin-left: 140px;\" class=\"container-fields field-key\" title=\".processing['ecephys'].data_interfaces['LFP'].electrical_series['ElectricalSeriesLFP'].electrodes.table\"><b>table</b></summary><div style=\"margin-left: 160px;\" class=\"container-fields\"><span class=\"field-key\" title=\".processing['ecephys'].data_interfaces['LFP'].electrical_series['ElectricalSeriesLFP'].electrodes.table\">description: </span><span class=\"field-value\">metadata about extracellular electrodes</span></div><details><summary style=\"display: list-item; margin-left: 160px;\" class=\"container-fields field-key\" title=\".processing['ecephys'].data_interfaces['LFP'].electrical_series['ElectricalSeriesLFP'].electrodes.table\"><b>table</b></summary><table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>location</th>\n",
+       "      <th>group</th>\n",
+       "      <th>group_name</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>MEC</td>\n",
+       "      <td>ElectrodeGroup pynwb.ecephys.ElectrodeGroup at 0x140289108930192\\nFields:\\n  description: The name of the ElectrodeGroup this electrode is a part of.\\n  device: EEG pynwb.device.Device at 0x140289108926288\\nFields:\\n  description: The device used to record EEG signals.\\n\\n  location: MEC\\n</td>\n",
+       "      <td>ElectrodeGroup</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table></details></details></details></details></details></details></details></details></details><details><summary style=\"display: list-item; margin-left: 0px;\" class=\"container-fields field-key\" title=\".epoch_tags\"><b>epoch_tags</b></summary><span class=\"field-key\">set()</span></details><details><summary style=\"display: list-item; margin-left: 0px;\" class=\"container-fields field-key\" title=\".electrodes\"><b>electrodes</b></summary><div style=\"margin-left: 20px;\" class=\"container-fields\"><span class=\"field-key\" title=\".electrodes\">description: </span><span class=\"field-value\">metadata about extracellular electrodes</span></div><details><summary style=\"display: list-item; margin-left: 20px;\" class=\"container-fields field-key\" title=\".electrodes\"><b>table</b></summary><table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>location</th>\n",
+       "      <th>group</th>\n",
+       "      <th>group_name</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>MEC</td>\n",
+       "      <td>ElectrodeGroup pynwb.ecephys.ElectrodeGroup at 0x140289108930192\\nFields:\\n  description: The name of the ElectrodeGroup this electrode is a part of.\\n  device: EEG pynwb.device.Device at 0x140289108926288\\nFields:\\n  description: The device used to record EEG signals.\\n\\n  location: MEC\\n</td>\n",
+       "      <td>ElectrodeGroup</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table></details></details><details><summary style=\"display: list-item; margin-left: 0px;\" class=\"container-fields field-key\" title=\".electrode_groups\"><b>electrode_groups</b></summary><details><summary style=\"display: list-item; margin-left: 20px;\" class=\"container-fields field-key\" title=\".electrode_groups['ElectrodeGroup']\"><b>ElectrodeGroup</b></summary><div style=\"margin-left: 40px;\" class=\"container-fields\"><span class=\"field-key\" title=\".electrode_groups['ElectrodeGroup'].description\">description: </span><span class=\"field-value\">The name of the ElectrodeGroup this electrode is a part of.</span></div><div style=\"margin-left: 40px;\" class=\"container-fields\"><span class=\"field-key\" title=\".electrode_groups['ElectrodeGroup'].location\">location: </span><span class=\"field-value\">MEC</span></div><details><summary style=\"display: list-item; margin-left: 40px;\" class=\"container-fields field-key\" title=\".electrode_groups['ElectrodeGroup'].device\"><b>device</b></summary><div style=\"margin-left: 60px;\" class=\"container-fields\"><span class=\"field-key\" title=\".electrode_groups['ElectrodeGroup'].device.description\">description: </span><span class=\"field-value\">The device used to record EEG signals.</span></div></details></details></details><details><summary style=\"display: list-item; margin-left: 0px;\" class=\"container-fields field-key\" title=\".devices\"><b>devices</b></summary><details><summary style=\"display: list-item; margin-left: 20px;\" class=\"container-fields field-key\" title=\".devices['EEG']\"><b>EEG</b></summary><div style=\"margin-left: 40px;\" class=\"container-fields\"><span class=\"field-key\" title=\".devices['EEG'].description\">description: </span><span class=\"field-value\">The device used to record EEG signals.</span></div></details></details><details><summary style=\"display: list-item; margin-left: 0px;\" class=\"container-fields field-key\" title=\".subject\"><b>subject</b></summary><div style=\"margin-left: 20px;\" class=\"container-fields\"><span class=\"field-key\" title=\".subject.age\">age: </span><span class=\"field-value\">P3M/P5M</span></div><div style=\"margin-left: 20px;\" class=\"container-fields\"><span class=\"field-key\" title=\".subject.age__reference\">age__reference: </span><span class=\"field-value\">birth</span></div><div style=\"margin-left: 20px;\" class=\"container-fields\"><span class=\"field-key\" title=\".subject.description\">description: </span><span class=\"field-value\">A Long Evans rat.</span></div><div style=\"margin-left: 20px;\" class=\"container-fields\"><span class=\"field-key\" title=\".subject.sex\">sex: </span><span class=\"field-value\">M</span></div><div style=\"margin-left: 20px;\" class=\"container-fields\"><span class=\"field-key\" title=\".subject.species\">species: </span><span class=\"field-value\">Rattus norvegicus</span></div><div style=\"margin-left: 20px;\" class=\"container-fields\"><span class=\"field-key\" title=\".subject.subject_id\">subject_id: </span><span class=\"field-value\">10073</span></div><div style=\"margin-left: 20px;\" class=\"container-fields\"><span class=\"field-key\" title=\".subject.weight\">weight: </span><span class=\"field-value\">0.35/0.45</span></div></details><details><summary style=\"display: list-item; margin-left: 0px;\" class=\"container-fields field-key\" title=\".units\"><b>units</b></summary><div style=\"margin-left: 20px;\" class=\"container-fields\"><span class=\"field-key\" title=\".units\">description: </span><span class=\"field-value\">Autogenerated by NWBFile</span></div><div style=\"margin-left: 20px;\" class=\"container-fields\"><span class=\"field-key\" title=\".units\">waveform_unit: </span><span class=\"field-value\">volts</span></div><details><summary style=\"display: list-item; margin-left: 20px;\" class=\"container-fields field-key\" title=\".units\"><b>table</b></summary><table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>unit_name</th>\n",
+       "      <th>spike_times</th>\n",
+       "      <th>histology</th>\n",
+       "      <th>hemisphere</th>\n",
+       "      <th>depth</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>t1c1</td>\n",
+       "      <td>[0.7903958333333333, 0.794, 0.8111666666666667, 0.8313541666666666, 0.9217708333333333, 1.0205208333333333, 1.3573020833333334, 1.6583229166666666, 1.6768645833333333, 2.7457708333333333, 4.008697916666667, 4.01678125, 4.402270833333334, 4.522583333333333, 4.527708333333333, 5.598760416666667, 5.61415625, 5.617927083333333, 5.68934375, 5.701510416666666, 5.714885416666666, 5.71740625, 5.723197916666667, 5.806802083333333, 5.8149375, 5.8207708333333334, 6.1641875, 6.201979166666667, 6.2260625, 6.2363125, 6.3546875, 6.363916666666666, 6.480145833333333, 6.48803125, 6.899927083333333, 6.992489583333334, 6.995885416666667, 7.033135416666667, 7.098052083333333, 7.10146875, 7.105677083333333, 7.245541666666667, 11.069739583333334, 11.499979166666666, 11.5111875, 11.522375, 11.6165, 11.702270833333333, 11.714625, 11.7245, 11.920979166666667, 11.983385416666666, 11.98634375, 11.995645833333333, 12.08903125, 12.105385416666667, 12.148697916666666, 12.157114583333334, 12.165864583333333, 13.123729166666667, 13.206645833333333, 13.224875, 13.232479166666666, 13.362927083333334, 13.40890625, 13.522697916666667, 13.530177083333333, 13.54115625, 13.623927083333333, 13.685302083333333, 13.738260416666666, 13.757302083333334, 13.812510416666667, 13.855427083333334, 13.971072916666667, 13.98659375, 13.992822916666666, 14.082979166666666, 14.162229166666666, 14.165541666666666, 14.394229166666667, 14.397375, 14.488708333333333, 14.492708333333333, 14.500604166666667, 14.547833333333333, 14.563979166666666, 14.5875, 14.590729166666666, 14.59375, 14.601708333333333, 14.608729166666667, 14.620083333333334, 14.647083333333333, 14.699260416666666, 14.70190625, 14.741635416666666, 14.801010416666667, 14.80403125, 14.88940625, ...]</td>\n",
+       "      <td>MEC LII</td>\n",
+       "      <td></td>\n",
+       "      <td>0.0024</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>t2c1</td>\n",
+       "      <td>[1.0451354166666667, 1.7003854166666668, 2.3154375, 11.046822916666667, 14.239729166666667, 14.822927083333333, 14.837010416666667, 19.281322916666667, 19.585395833333333, 19.603958333333335, 19.719083333333334, 19.722625, 19.819458333333333, 19.822979166666666, 19.8256875, 19.829520833333333, 28.67203125, 29.932614583333333, 30.8508125, 30.951416666666667, 31.050583333333332, 31.106822916666665, 31.410760416666665, 36.44560416666667, 46.90858333333333, 47.34158333333333, 47.397375, 47.4190625, 47.47598958333333, 48.156, 59.66520833333333, 59.66970833333333, 59.78719791666666, 60.00934375, 60.12197916666667, 60.12890625, 60.458333333333336, 60.8745625, 61.55807291666667, 62.76680208333333, 62.94321875, 63.27045833333333, 63.4875, 64.47296875, 67.56085416666667, 67.57622916666666, 67.72179166666666, 67.72525, 67.80897916666666, 67.814625, 67.8276875, 67.91458333333334, 67.94144791666666, 67.95988541666667, 68.02155208333333, 68.13059375, 68.20140625, 68.33521875, 68.40710416666667, 68.57409375, 68.58878125, 68.681375, 68.70475, 68.75991666666667, 68.832625, 68.9400625, 68.94379166666667, 71.02867708333333, 71.25821875, 71.41845833333333, 72.28534375, 78.7965, 79.7308125, 79.76083333333334, 79.84297916666667, 79.91891666666666, 79.97095833333333, 80.08979166666667, 83.240875, 88.275625, 91.66017708333334, 91.67665625, 92.069125, 92.10191666666667, 92.56378125, 92.56932291666666, 92.57228125, 92.58971875, 92.59544791666667, 92.67121875, 92.67442708333333, 92.81330208333334, 92.84265625, 93.16694791666667, 93.28475, 93.47997916666667, 93.49264583333333, 93.51422916666667, 93.51847916666667, 93.52220833333334, ...]</td>\n",
+       "      <td>MEC LII</td>\n",
+       "      <td></td>\n",
+       "      <td>0.0024</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>t2c3</td>\n",
+       "      <td>[0.18273958333333334, 0.5340729166666667, 0.5707291666666666, 0.7023333333333334, 0.7242604166666666, 0.7670520833333333, 0.88084375, 1.06084375, 1.1815, 1.2828333333333333, 1.2922916666666666, 1.4162291666666667, 1.5238333333333334, 1.5430416666666666, 1.5909479166666667, 1.6242291666666666, 1.6451041666666666, 1.7132604166666667, 3.0415729166666665, 5.295635416666666, 5.516947916666667, 6.2452604166666665, 6.336885416666667, 6.6401666666666666, 7.0116875, 7.089395833333334, 7.20128125, 8.1189375, 8.1546875, 8.251333333333333, 8.605614583333333, 10.502302083333333, 10.848864583333333, 10.931302083333334, 11.852802083333334, 11.86840625, 11.877864583333333, 11.963645833333333, 13.12328125, 13.53028125, 13.688145833333333, 13.751333333333333, 14.159802083333334, 16.810760416666668, 16.91994791666667, 17.323583333333332, 17.454822916666668, 19.2395, 19.306625, 19.73028125, 21.200885416666665, 21.439739583333335, 22.102395833333333, 22.926447916666667, 23.722489583333335, 23.85609375, 25.524104166666667, 25.860020833333333, 26.32103125, 26.6210625, 26.66503125, 26.753708333333332, 26.846958333333333, 26.8845, 26.959229166666667, 27.08540625, 27.1913125, 27.271979166666668, 27.31240625, 27.537260416666665, 27.791447916666666, 27.805697916666666, 27.817010416666665, 27.90071875, 27.917572916666668, 28.02446875, 28.13378125, 28.15521875, 28.32228125, 28.363958333333333, 28.38533333333333, 28.608604166666666, 28.6311875, 29.11065625, 30.226875, 33.932625, 34.056666666666665, 34.590354166666664, 36.890760416666666, 38.448458333333335, 38.4585, 38.78067708333333, 39.00878125, 39.022072916666666, 39.23472916666667, 39.24640625, 39.25477083333333, 39.60910416666667, 40.26836458333333, 40.29759375, ...]</td>\n",
+       "      <td>MEC LII</td>\n",
+       "      <td></td>\n",
+       "      <td>0.0024</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>t3c1</td>\n",
+       "      <td>[1.0358229166666666, 1.04803125, 1.6964270833333333, 1.7780416666666667, 1.7842083333333334, 1.8619166666666667, 1.8659375, 1.879125, 1.8885416666666666, 1.9763333333333333, 2.0486666666666666, 2.1341875, 2.1698541666666666, 2.2325416666666666, 2.245875, 2.251375, 2.2590625, 2.2775833333333333, 2.282395833333333, 2.2996041666666667, 2.3334375, 2.3404375, 2.3472708333333334, 2.3584375, 2.380541666666667, 2.3935104166666665, 2.40184375, 2.4201979166666665, 2.44096875, 2.45184375, 2.4599270833333335, 2.4681770833333334, 2.4746770833333334, 2.4855729166666665, 2.5209479166666666, 2.55503125, 2.5716979166666665, 2.5834895833333333, 2.591552083333333, 2.6127604166666667, 2.6709895833333333, 2.88928125, 3.134916666666667, 3.2006875, 3.3154375, 3.4335625, 4.24340625, 4.2707395833333335, 4.34684375, 14.862104166666667, 15.2978125, 15.543479166666666, 16.012020833333334, 16.19559375, 16.322864583333335, 16.855166666666666, 16.8641875, 19.730333333333334, 19.756604166666666, 19.76535416666667, 19.8773125, 19.9308125, 20.047833333333333, 20.227822916666668, 20.318989583333334, 20.336260416666665, 20.47409375, 20.584364583333333, 20.78321875, 20.79134375, 20.810072916666666, 20.824833333333334, 20.8931875, 20.906208333333332, 20.918354166666667, 20.9286875, 21.020104166666666, 21.109541666666665, 21.1209375, 21.129208333333334, 21.139520833333332, 28.955604166666667, 28.969427083333333, 29.12302083333333, 29.227, 29.93634375, 30.745760416666666, 30.862416666666668, 33.691541666666666, 33.70033333333333, 33.70483333333333, 45.592125, 48.75952083333333, 52.425875, 52.44083333333333, 53.031697916666666, 53.03701041666667, 57.72391666666667, 57.736291666666666, 57.74427083333333, ...]</td>\n",
+       "      <td>MEC LII</td>\n",
+       "      <td></td>\n",
+       "      <td>0.0024</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table><p>... and 4 more rows.</p></details></details><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".experiment_description\">experiment_description: </span><span class=\"field-value\">The sample includes conjunctive cells and head direction cells from layers III and V of medial entorhinal cortex and have been published in Sargolini et al. (Science, 2006).</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".session_id\">session_id: </span><span class=\"field-value\">17010302</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".lab\">lab: </span><span class=\"field-value\">Moser</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".institution\">institution: </span><span class=\"field-value\">Centre for the Biology of Memory, Norwegian University of Science and Technology</span></div></div>"
+      ],
+      "text/plain": [
+       "root pynwb.file.NWBFile at 0x140289108850704\n",
+       "Fields:\n",
+       "  acquisition: {\n",
+       "    ElectricalSeries <class 'pynwb.ecephys.ElectricalSeries'>\n",
+       "  }\n",
+       "  devices: {\n",
+       "    EEG <class 'pynwb.device.Device'>\n",
+       "  }\n",
+       "  electrode_groups: {\n",
+       "    ElectrodeGroup <class 'pynwb.ecephys.ElectrodeGroup'>\n",
+       "  }\n",
+       "  electrodes: electrodes <class 'hdmf.common.table.DynamicTable'>\n",
+       "  experiment_description: The sample includes conjunctive cells and head direction cells from layers III and V of medial entorhinal cortex and have been published in Sargolini et al. (Science, 2006).\n",
+       "  experimenter: ['Sargolini, Francesca']\n",
+       "  file_create_date: [datetime.datetime(2023, 9, 16, 15, 50, 9, 775622, tzinfo=tzoffset(None, 7200))]\n",
+       "  identifier: 294b7de1-a624-44d8-b1a1-28028dd2cf0c\n",
+       "  institution: Centre for the Biology of Memory, Norwegian University of Science and Technology\n",
+       "  keywords: <StrDataset for HDF5 dataset \"keywords\": shape (3,), type \"|O\">\n",
+       "  lab: Moser\n",
+       "  processing: {\n",
+       "    behavior <class 'pynwb.base.ProcessingModule'>,\n",
+       "    ecephys <class 'pynwb.base.ProcessingModule'>\n",
+       "  }\n",
+       "  related_publications: ['https://doi.org/10.1126/science.1125572']\n",
+       "  session_description: This session includes spike and position times for recorded cells from a Long Evans rat that was running in a 1 x 1 meter enclosure. The cells were recorded in the dorsocaudal 25% portion of the medial entorhinal cortex (MEC).Position is given for two LEDs to enable calculation of head direction.\n",
+       "  session_id: 17010302\n",
+       "  session_start_time: 1900-01-01 00:00:00+01:00\n",
+       "  subject: subject pynwb.file.Subject at 0x140289120208464\n",
+       "Fields:\n",
+       "  age: P3M/P5M\n",
+       "  age__reference: birth\n",
+       "  description: A Long Evans rat.\n",
+       "  sex: M\n",
+       "  species: Rattus norvegicus\n",
+       "  subject_id: 10073\n",
+       "  weight: 0.35/0.45\n",
+       "\n",
+       "  timestamps_reference_time: 1900-01-01 00:00:00+01:00\n",
+       "  units: units <class 'pynwb.misc.Units'>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nwbfile"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1bad2b37-fb4b-437c-a837-47be97bc6844",
+   "metadata": {},
+   "source": [
+    "Access `nwbfile.subject` to get information about the subject used in this experiment, including their age, sex, species, and ID. Age uses the ISO 8601 standard for time durations - `P3M` corresponds to 3 months old, and `P3M/P5M` means the subject was between 3-5 months old."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "fe7eadf2-97c1-45b5-b70a-e2084a36e956",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "        <style>\n",
+       "            .container-fields {\n",
+       "                font-family: \"Open Sans\", Arial, sans-serif;\n",
+       "            }\n",
+       "            .container-fields .field-value {\n",
+       "                color: #00788E;\n",
+       "            }\n",
+       "            .container-fields details > summary {\n",
+       "                cursor: pointer;\n",
+       "                display: list-item;\n",
+       "            }\n",
+       "            .container-fields details > summary:hover {\n",
+       "                color: #0A6EAA;\n",
+       "            }\n",
+       "        </style>\n",
+       "        \n",
+       "        <script>\n",
+       "            function copyToClipboard(text) {\n",
+       "                navigator.clipboard.writeText(text).then(function() {\n",
+       "                    console.log('Copied to clipboard: ' + text);\n",
+       "                }, function(err) {\n",
+       "                    console.error('Could not copy text: ', err);\n",
+       "                });\n",
+       "            }\n",
+       "\n",
+       "            document.addEventListener('DOMContentLoaded', function() {\n",
+       "                let fieldKeys = document.querySelectorAll('.container-fields .field-key');\n",
+       "                fieldKeys.forEach(function(fieldKey) {\n",
+       "                    fieldKey.addEventListener('click', function() {\n",
+       "                        let accessCode = fieldKey.getAttribute('title').replace('Access code: ', '');\n",
+       "                        copyToClipboard(accessCode);\n",
+       "                    });\n",
+       "                });\n",
+       "            });\n",
+       "        </script>\n",
+       "        <div class='container-wrap'><div class='container-header'><div class='xr-obj-type'><h3>subject (Subject)</h3></div></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".age\">age: </span><span class=\"field-value\">P3M/P5M</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".age__reference\">age__reference: </span><span class=\"field-value\">birth</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".description\">description: </span><span class=\"field-value\">A Long Evans rat.</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".sex\">sex: </span><span class=\"field-value\">M</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".species\">species: </span><span class=\"field-value\">Rattus norvegicus</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".subject_id\">subject_id: </span><span class=\"field-value\">10073</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".weight\">weight: </span><span class=\"field-value\">0.35/0.45</span></div></div>"
+      ],
+      "text/plain": [
+       "subject pynwb.file.Subject at 0x140289120208464\n",
+       "Fields:\n",
+       "  age: P3M/P5M\n",
+       "  age__reference: birth\n",
+       "  description: A Long Evans rat.\n",
+       "  sex: M\n",
+       "  species: Rattus norvegicus\n",
+       "  subject_id: 10073\n",
+       "  weight: 0.35/0.45"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nwbfile.subject"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0f6097ba-84db-43ec-8e86-0b1c5b948f75",
+   "metadata": {},
+   "source": [
+    "Now let's access the position of the animal, which is stored in a `SpatialSeries` object at this particular path within the NWB file."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "0e6992db-ef34-4626-a28e-e84b2dc77295",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "        <style>\n",
+       "            .container-fields {\n",
+       "                font-family: \"Open Sans\", Arial, sans-serif;\n",
+       "            }\n",
+       "            .container-fields .field-value {\n",
+       "                color: #00788E;\n",
+       "            }\n",
+       "            .container-fields details > summary {\n",
+       "                cursor: pointer;\n",
+       "                display: list-item;\n",
+       "            }\n",
+       "            .container-fields details > summary:hover {\n",
+       "                color: #0A6EAA;\n",
+       "            }\n",
+       "        </style>\n",
+       "        \n",
+       "        <script>\n",
+       "            function copyToClipboard(text) {\n",
+       "                navigator.clipboard.writeText(text).then(function() {\n",
+       "                    console.log('Copied to clipboard: ' + text);\n",
+       "                }, function(err) {\n",
+       "                    console.error('Could not copy text: ', err);\n",
+       "                });\n",
+       "            }\n",
+       "\n",
+       "            document.addEventListener('DOMContentLoaded', function() {\n",
+       "                let fieldKeys = document.querySelectorAll('.container-fields .field-key');\n",
+       "                fieldKeys.forEach(function(fieldKey) {\n",
+       "                    fieldKey.addEventListener('click', function() {\n",
+       "                        let accessCode = fieldKey.getAttribute('title').replace('Access code: ', '');\n",
+       "                        copyToClipboard(accessCode);\n",
+       "                    });\n",
+       "                });\n",
+       "            });\n",
+       "        </script>\n",
+       "        <div class='container-wrap'><div class='container-header'><div class='xr-obj-type'><h3>SpatialSeriesLED1 (SpatialSeries)</h3></div></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".resolution\">resolution: </span><span class=\"field-value\">-1.0</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".comments\">comments: </span><span class=\"field-value\">no comments</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".description\">description: </span><span class=\"field-value\">Position (x, y) for the first tracking LED.</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".conversion\">conversion: </span><span class=\"field-value\">0.01</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".offset\">offset: </span><span class=\"field-value\">0.0</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".unit\">unit: </span><span class=\"field-value\">meters</span></div><details><summary style=\"display: list-item; margin-left: 0px;\" class=\"container-fields field-key\" title=\".data\"><b>data</b></summary></details><details><summary style=\"display: list-item; margin-left: 0px;\" class=\"container-fields field-key\" title=\".timestamps\"><b>timestamps</b></summary></details><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".timestamps_unit\">timestamps_unit: </span><span class=\"field-value\">seconds</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".interval\">interval: </span><span class=\"field-value\">1</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".reference_frame\">reference_frame: </span><span class=\"field-value\">(0,0) is not known.</span></div></div>"
+      ],
+      "text/plain": [
+       "SpatialSeriesLED1 pynwb.behavior.SpatialSeries at 0x140289108934032\n",
+       "Fields:\n",
+       "  comments: no comments\n",
+       "  conversion: 0.01\n",
+       "  data: <HDF5 dataset \"data\": shape (30000, 2), type \"<f8\">\n",
+       "  description: Position (x, y) for the first tracking LED.\n",
+       "  interval: 1\n",
+       "  offset: 0.0\n",
+       "  reference_frame: (0,0) is not known.\n",
+       "  resolution: -1.0\n",
+       "  timestamps: <HDF5 dataset \"timestamps\": shape (30000,), type \"<f8\">\n",
+       "  timestamps_unit: seconds\n",
+       "  unit: meters"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "position = nwbfile.processing[\"behavior\"][\"Position\"][\"SpatialSeriesLED1\"]\n",
+    "position"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f5a2b0bc-8006-4c34-9a34-12975fbffe6a",
+   "metadata": {},
+   "source": [
+    "## Lazy loading of datasets\n",
+    "Data arrays are read passively from the NWB file.\n",
+    "Accessing the ``data`` attribute of the `SpatialSeries` object\n",
+    "does not read the data values, but presents an `h5py.Dataset` object that can be indexed to read data.\n",
+    "You can use the ``[:]`` operator to read the entire data array into memory."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "989c0acf-698c-449d-b043-2577577ae1db",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<HDF5 dataset \"data\": shape (30000, 2), type \"<f8\">"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "position.data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "8f588374-10f9-4665-9ed8-0dfc5d8807a7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[-0.4427946 , 17.10393108],\n",
+       "       [-0.4427946 , 17.10393108],\n",
+       "       [ 1.26778258, 16.85956291],\n",
+       "       ...,\n",
+       "       [ 2.00088708,  6.84046804],\n",
+       "       [ 2.00088708,  6.84046804],\n",
+       "       [ 0.77904624,  4.64115453]])"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pos_data = position.data[:]\n",
+    "pos_data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a305907a-78e7-4eb6-ab94-eeac0a80ff5e",
+   "metadata": {},
+   "source": [
+    "## Slicing datasets\n",
+    "Especially with very large datasets, it is often preferable to read only a portion of the data. To do this, index or slice into the ``data`` attribute just like if you were indexing or slicing a numpy array.\n",
+    "\n",
+    "Let's get the X coordinates of the subject for all timestamps and get the timestamps."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "a21e45ec-471a-44cf-a05d-30e356851ca9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([-0.4427946 , -0.4427946 ,  1.26778258, ...,  2.00088708,\n",
+       "        2.00088708,  0.77904624])"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x = position.data[:,0]\n",
+    "x"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "0d56467f-4f98-46a0-9256-fe54220fc960",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([0.0000e+00, 2.0000e-02, 4.0000e-02, ..., 5.9994e+02, 5.9996e+02,\n",
+       "       5.9998e+02])"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ts = position.timestamps[:]\n",
+    "ts"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "14bc4fcf-ba9d-4048-b997-355d1784c168",
+   "metadata": {},
+   "source": [
+    "Now let's use those values to plot the X position of the subject over time. All times in NWB are stored in seconds relative to the session start time."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "c1aab4c0-f465-4655-ab9e-5f738ba04166",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(ts, x)\n",
+    "plt.xlabel(\"Time (seconds)\")\n",
+    "plt.ylabel(\"X coordinate of the subject\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e3048be8-e534-43ad-8805-3afb0146a34f",
+   "metadata": {},
+   "source": [
+    "We can also slice in the time dimension. Let's plot the (x, y) position of the subject for the first 100 time points."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "ba9334c2-7cab-4805-9c8f-798487116259",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "time_indices = slice(0, 100)\n",
+    "plt.plot(position.data[time_indices,0], position.data[time_indices,1], \"-o\")\n",
+    "plt.xlabel(\"X coordinate\")\n",
+    "plt.ylabel(\"Y coordinate\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5a2d13a2-51f0-4bc6-a233-37127a856802",
+   "metadata": {},
+   "source": [
+    "## Access single unit data\n",
+    "\n",
+    "Data and metadata about sorted single units are stored in a `Units` object. It stores metadata about each single unit in a tabular form, where each row represents a unit with spike times and additional metadata."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "f798d386-c690-4d13-a69d-f136a5d0ff91",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "        <style>\n",
+       "            .container-fields {\n",
+       "                font-family: \"Open Sans\", Arial, sans-serif;\n",
+       "            }\n",
+       "            .container-fields .field-value {\n",
+       "                color: #00788E;\n",
+       "            }\n",
+       "            .container-fields details > summary {\n",
+       "                cursor: pointer;\n",
+       "                display: list-item;\n",
+       "            }\n",
+       "            .container-fields details > summary:hover {\n",
+       "                color: #0A6EAA;\n",
+       "            }\n",
+       "        </style>\n",
+       "        \n",
+       "        <script>\n",
+       "            function copyToClipboard(text) {\n",
+       "                navigator.clipboard.writeText(text).then(function() {\n",
+       "                    console.log('Copied to clipboard: ' + text);\n",
+       "                }, function(err) {\n",
+       "                    console.error('Could not copy text: ', err);\n",
+       "                });\n",
+       "            }\n",
+       "\n",
+       "            document.addEventListener('DOMContentLoaded', function() {\n",
+       "                let fieldKeys = document.querySelectorAll('.container-fields .field-key');\n",
+       "                fieldKeys.forEach(function(fieldKey) {\n",
+       "                    fieldKey.addEventListener('click', function() {\n",
+       "                        let accessCode = fieldKey.getAttribute('title').replace('Access code: ', '');\n",
+       "                        copyToClipboard(accessCode);\n",
+       "                    });\n",
+       "                });\n",
+       "            });\n",
+       "        </script>\n",
+       "        <div class='container-wrap'><div class='container-header'><div class='xr-obj-type'><h3>units (Units)</h3></div></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\"\">description: </span><span class=\"field-value\">Autogenerated by NWBFile</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\"\">waveform_unit: </span><span class=\"field-value\">volts</span></div><details><summary style=\"display: list-item; margin-left: 0px;\" class=\"container-fields field-key\" title=\"\"><b>table</b></summary><table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>unit_name</th>\n",
+       "      <th>spike_times</th>\n",
+       "      <th>histology</th>\n",
+       "      <th>hemisphere</th>\n",
+       "      <th>depth</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>t1c1</td>\n",
+       "      <td>[0.7903958333333333, 0.794, 0.8111666666666667, 0.8313541666666666, 0.9217708333333333, 1.0205208333333333, 1.3573020833333334, 1.6583229166666666, 1.6768645833333333, 2.7457708333333333, 4.008697916666667, 4.01678125, 4.402270833333334, 4.522583333333333, 4.527708333333333, 5.598760416666667, 5.61415625, 5.617927083333333, 5.68934375, 5.701510416666666, 5.714885416666666, 5.71740625, 5.723197916666667, 5.806802083333333, 5.8149375, 5.8207708333333334, 6.1641875, 6.201979166666667, 6.2260625, 6.2363125, 6.3546875, 6.363916666666666, 6.480145833333333, 6.48803125, 6.899927083333333, 6.992489583333334, 6.995885416666667, 7.033135416666667, 7.098052083333333, 7.10146875, 7.105677083333333, 7.245541666666667, 11.069739583333334, 11.499979166666666, 11.5111875, 11.522375, 11.6165, 11.702270833333333, 11.714625, 11.7245, 11.920979166666667, 11.983385416666666, 11.98634375, 11.995645833333333, 12.08903125, 12.105385416666667, 12.148697916666666, 12.157114583333334, 12.165864583333333, 13.123729166666667, 13.206645833333333, 13.224875, 13.232479166666666, 13.362927083333334, 13.40890625, 13.522697916666667, 13.530177083333333, 13.54115625, 13.623927083333333, 13.685302083333333, 13.738260416666666, 13.757302083333334, 13.812510416666667, 13.855427083333334, 13.971072916666667, 13.98659375, 13.992822916666666, 14.082979166666666, 14.162229166666666, 14.165541666666666, 14.394229166666667, 14.397375, 14.488708333333333, 14.492708333333333, 14.500604166666667, 14.547833333333333, 14.563979166666666, 14.5875, 14.590729166666666, 14.59375, 14.601708333333333, 14.608729166666667, 14.620083333333334, 14.647083333333333, 14.699260416666666, 14.70190625, 14.741635416666666, 14.801010416666667, 14.80403125, 14.88940625, ...]</td>\n",
+       "      <td>MEC LII</td>\n",
+       "      <td></td>\n",
+       "      <td>0.0024</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>t2c1</td>\n",
+       "      <td>[1.0451354166666667, 1.7003854166666668, 2.3154375, 11.046822916666667, 14.239729166666667, 14.822927083333333, 14.837010416666667, 19.281322916666667, 19.585395833333333, 19.603958333333335, 19.719083333333334, 19.722625, 19.819458333333333, 19.822979166666666, 19.8256875, 19.829520833333333, 28.67203125, 29.932614583333333, 30.8508125, 30.951416666666667, 31.050583333333332, 31.106822916666665, 31.410760416666665, 36.44560416666667, 46.90858333333333, 47.34158333333333, 47.397375, 47.4190625, 47.47598958333333, 48.156, 59.66520833333333, 59.66970833333333, 59.78719791666666, 60.00934375, 60.12197916666667, 60.12890625, 60.458333333333336, 60.8745625, 61.55807291666667, 62.76680208333333, 62.94321875, 63.27045833333333, 63.4875, 64.47296875, 67.56085416666667, 67.57622916666666, 67.72179166666666, 67.72525, 67.80897916666666, 67.814625, 67.8276875, 67.91458333333334, 67.94144791666666, 67.95988541666667, 68.02155208333333, 68.13059375, 68.20140625, 68.33521875, 68.40710416666667, 68.57409375, 68.58878125, 68.681375, 68.70475, 68.75991666666667, 68.832625, 68.9400625, 68.94379166666667, 71.02867708333333, 71.25821875, 71.41845833333333, 72.28534375, 78.7965, 79.7308125, 79.76083333333334, 79.84297916666667, 79.91891666666666, 79.97095833333333, 80.08979166666667, 83.240875, 88.275625, 91.66017708333334, 91.67665625, 92.069125, 92.10191666666667, 92.56378125, 92.56932291666666, 92.57228125, 92.58971875, 92.59544791666667, 92.67121875, 92.67442708333333, 92.81330208333334, 92.84265625, 93.16694791666667, 93.28475, 93.47997916666667, 93.49264583333333, 93.51422916666667, 93.51847916666667, 93.52220833333334, ...]</td>\n",
+       "      <td>MEC LII</td>\n",
+       "      <td></td>\n",
+       "      <td>0.0024</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>t2c3</td>\n",
+       "      <td>[0.18273958333333334, 0.5340729166666667, 0.5707291666666666, 0.7023333333333334, 0.7242604166666666, 0.7670520833333333, 0.88084375, 1.06084375, 1.1815, 1.2828333333333333, 1.2922916666666666, 1.4162291666666667, 1.5238333333333334, 1.5430416666666666, 1.5909479166666667, 1.6242291666666666, 1.6451041666666666, 1.7132604166666667, 3.0415729166666665, 5.295635416666666, 5.516947916666667, 6.2452604166666665, 6.336885416666667, 6.6401666666666666, 7.0116875, 7.089395833333334, 7.20128125, 8.1189375, 8.1546875, 8.251333333333333, 8.605614583333333, 10.502302083333333, 10.848864583333333, 10.931302083333334, 11.852802083333334, 11.86840625, 11.877864583333333, 11.963645833333333, 13.12328125, 13.53028125, 13.688145833333333, 13.751333333333333, 14.159802083333334, 16.810760416666668, 16.91994791666667, 17.323583333333332, 17.454822916666668, 19.2395, 19.306625, 19.73028125, 21.200885416666665, 21.439739583333335, 22.102395833333333, 22.926447916666667, 23.722489583333335, 23.85609375, 25.524104166666667, 25.860020833333333, 26.32103125, 26.6210625, 26.66503125, 26.753708333333332, 26.846958333333333, 26.8845, 26.959229166666667, 27.08540625, 27.1913125, 27.271979166666668, 27.31240625, 27.537260416666665, 27.791447916666666, 27.805697916666666, 27.817010416666665, 27.90071875, 27.917572916666668, 28.02446875, 28.13378125, 28.15521875, 28.32228125, 28.363958333333333, 28.38533333333333, 28.608604166666666, 28.6311875, 29.11065625, 30.226875, 33.932625, 34.056666666666665, 34.590354166666664, 36.890760416666666, 38.448458333333335, 38.4585, 38.78067708333333, 39.00878125, 39.022072916666666, 39.23472916666667, 39.24640625, 39.25477083333333, 39.60910416666667, 40.26836458333333, 40.29759375, ...]</td>\n",
+       "      <td>MEC LII</td>\n",
+       "      <td></td>\n",
+       "      <td>0.0024</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>t3c1</td>\n",
+       "      <td>[1.0358229166666666, 1.04803125, 1.6964270833333333, 1.7780416666666667, 1.7842083333333334, 1.8619166666666667, 1.8659375, 1.879125, 1.8885416666666666, 1.9763333333333333, 2.0486666666666666, 2.1341875, 2.1698541666666666, 2.2325416666666666, 2.245875, 2.251375, 2.2590625, 2.2775833333333333, 2.282395833333333, 2.2996041666666667, 2.3334375, 2.3404375, 2.3472708333333334, 2.3584375, 2.380541666666667, 2.3935104166666665, 2.40184375, 2.4201979166666665, 2.44096875, 2.45184375, 2.4599270833333335, 2.4681770833333334, 2.4746770833333334, 2.4855729166666665, 2.5209479166666666, 2.55503125, 2.5716979166666665, 2.5834895833333333, 2.591552083333333, 2.6127604166666667, 2.6709895833333333, 2.88928125, 3.134916666666667, 3.2006875, 3.3154375, 3.4335625, 4.24340625, 4.2707395833333335, 4.34684375, 14.862104166666667, 15.2978125, 15.543479166666666, 16.012020833333334, 16.19559375, 16.322864583333335, 16.855166666666666, 16.8641875, 19.730333333333334, 19.756604166666666, 19.76535416666667, 19.8773125, 19.9308125, 20.047833333333333, 20.227822916666668, 20.318989583333334, 20.336260416666665, 20.47409375, 20.584364583333333, 20.78321875, 20.79134375, 20.810072916666666, 20.824833333333334, 20.8931875, 20.906208333333332, 20.918354166666667, 20.9286875, 21.020104166666666, 21.109541666666665, 21.1209375, 21.129208333333334, 21.139520833333332, 28.955604166666667, 28.969427083333333, 29.12302083333333, 29.227, 29.93634375, 30.745760416666666, 30.862416666666668, 33.691541666666666, 33.70033333333333, 33.70483333333333, 45.592125, 48.75952083333333, 52.425875, 52.44083333333333, 53.031697916666666, 53.03701041666667, 57.72391666666667, 57.736291666666666, 57.74427083333333, ...]</td>\n",
+       "      <td>MEC LII</td>\n",
+       "      <td></td>\n",
+       "      <td>0.0024</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table><p>... and 4 more rows.</p></details></div>"
+      ],
+      "text/plain": [
+       "units pynwb.misc.Units at 0x140289108694672\n",
+       "Fields:\n",
+       "  colnames: ['unit_name' 'spike_times' 'histology' 'hemisphere' 'depth']\n",
+       "  columns: (\n",
+       "    unit_name <class 'hdmf.common.table.VectorData'>,\n",
+       "    spike_times_index <class 'hdmf.common.table.VectorIndex'>,\n",
+       "    spike_times <class 'hdmf.common.table.VectorData'>,\n",
+       "    histology <class 'hdmf.common.table.VectorData'>,\n",
+       "    hemisphere <class 'hdmf.common.table.VectorData'>,\n",
+       "    depth <class 'hdmf.common.table.VectorData'>\n",
+       "  )\n",
+       "  description: Autogenerated by NWBFile\n",
+       "  id: id <class 'hdmf.common.table.ElementIdentifiers'>\n",
+       "  waveform_unit: volts"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nwbfile.units"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "684600f7-e4a9-4c21-825f-dab574a28012",
+   "metadata": {},
+   "source": [
+    "We can view the single unit data as a pandas `DataFrame`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "fb2f7574-c8af-4bbc-b06f-9385515d72e5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>unit_name</th>\n",
+       "      <th>spike_times</th>\n",
+       "      <th>histology</th>\n",
+       "      <th>hemisphere</th>\n",
+       "      <th>depth</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>t1c1</td>\n",
+       "      <td>[0.7903958333333333, 0.794, 0.8111666666666667...</td>\n",
+       "      <td>MEC LII</td>\n",
+       "      <td></td>\n",
+       "      <td>0.0024</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>t2c1</td>\n",
+       "      <td>[1.0451354166666667, 1.7003854166666668, 2.315...</td>\n",
+       "      <td>MEC LII</td>\n",
+       "      <td></td>\n",
+       "      <td>0.0024</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>t2c3</td>\n",
+       "      <td>[0.18273958333333334, 0.5340729166666667, 0.57...</td>\n",
+       "      <td>MEC LII</td>\n",
+       "      <td></td>\n",
+       "      <td>0.0024</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>t3c1</td>\n",
+       "      <td>[1.0358229166666666, 1.04803125, 1.69642708333...</td>\n",
+       "      <td>MEC LII</td>\n",
+       "      <td></td>\n",
+       "      <td>0.0024</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>t3c2</td>\n",
+       "      <td>[2.43025, 2.4398333333333335, 3.17965625, 3.39...</td>\n",
+       "      <td>MEC LII</td>\n",
+       "      <td></td>\n",
+       "      <td>0.0024</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>t3c3</td>\n",
+       "      <td>[2.1157708333333334, 2.425427083333333, 3.3630...</td>\n",
+       "      <td>MEC LII</td>\n",
+       "      <td></td>\n",
+       "      <td>0.0024</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>t3c4</td>\n",
+       "      <td>[0.07945833333333334, 2.244947916666667, 3.173...</td>\n",
+       "      <td>MEC LII</td>\n",
+       "      <td></td>\n",
+       "      <td>0.0024</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>t4c1</td>\n",
+       "      <td>[2.4301666666666666, 2.439770833333333, 3.1795...</td>\n",
+       "      <td>MEC LII</td>\n",
+       "      <td></td>\n",
+       "      <td>0.0024</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   unit_name                                        spike_times histology  \\\n",
+       "id                                                                          \n",
+       "0       t1c1  [0.7903958333333333, 0.794, 0.8111666666666667...   MEC LII   \n",
+       "1       t2c1  [1.0451354166666667, 1.7003854166666668, 2.315...   MEC LII   \n",
+       "2       t2c3  [0.18273958333333334, 0.5340729166666667, 0.57...   MEC LII   \n",
+       "3       t3c1  [1.0358229166666666, 1.04803125, 1.69642708333...   MEC LII   \n",
+       "4       t3c2  [2.43025, 2.4398333333333335, 3.17965625, 3.39...   MEC LII   \n",
+       "5       t3c3  [2.1157708333333334, 2.425427083333333, 3.3630...   MEC LII   \n",
+       "6       t3c4  [0.07945833333333334, 2.244947916666667, 3.173...   MEC LII   \n",
+       "7       t4c1  [2.4301666666666666, 2.439770833333333, 3.1795...   MEC LII   \n",
+       "\n",
+       "   hemisphere   depth  \n",
+       "id                     \n",
+       "0              0.0024  \n",
+       "1              0.0024  \n",
+       "2              0.0024  \n",
+       "3              0.0024  \n",
+       "4              0.0024  \n",
+       "5              0.0024  \n",
+       "6              0.0024  \n",
+       "7              0.0024  "
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "units_df = nwbfile.units.to_dataframe()\n",
+    "units_df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cd663e4d-3fa4-4e66-b5e0-2937bc54c007",
+   "metadata": {},
+   "source": [
+    "To access the spike times of the first single unit, index this pandas dataframe with the column name, “spike_times”, and the row index, 0. All times in NWB are stored in seconds relative to the session start time."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "76da65fa-e9b7-4a61-96ba-1beace55e34d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([  0.79039583,   0.794     ,   0.81116667, ..., 595.28703125,\n",
+       "       595.53125   , 599.68578125])"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "units_df[\"spike_times\"][0]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4acfe692-bbad-485e-ba66-1f1f60065616",
+   "metadata": {},
+   "source": [
+    "We can also inspect the columns of the `Units` table for useful metadata such as descriptions of the values of each column."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "b303dd50-48ea-40b0-b1f8-1c34aa8a2dc3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Indicates the depth of the inserted electrodes in meters.'"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nwbfile.units[\"depth\"].description"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2ce5c3b4-a831-4972-af60-cda98acf51e2",
+   "metadata": {},
+   "source": [
+    "# Using [Pynapple](https://pynapple-org.github.io/pynapple/) for data analysis"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1eb0cc7d-87cb-4919-a4d7-b7478614477e",
+   "metadata": {},
+   "source": [
+    "[Pynapple](https://pynapple-org.github.io/pynapple/) is a light-weight python library for neurophysiological data analysis that accepts NWB files as input. Let's install pynapple and a plotting package, seaborn, using `pip`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "a758f310-dc9b-41b8-8abd-7abd3b5d8558",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: pynapple in /opt/conda/lib/python3.11/site-packages (0.5.1)\n",
+      "Requirement already satisfied: seaborn in /opt/conda/lib/python3.11/site-packages (0.13.2)\n",
+      "Requirement already satisfied: pandas>1.0.3 in /opt/conda/lib/python3.11/site-packages (from pynapple) (2.2.0)\n",
+      "Requirement already satisfied: numpy>=1.17.4 in /opt/conda/lib/python3.11/site-packages (from pynapple) (1.26.3)\n",
+      "Requirement already satisfied: scipy>=1.3.2 in /opt/conda/lib/python3.11/site-packages (from pynapple) (1.12.0)\n",
+      "Requirement already satisfied: numba>=0.46.0 in /opt/conda/lib/python3.11/site-packages (from pynapple) (0.59.0)\n",
+      "Requirement already satisfied: pynwb>=2.0.0 in /opt/conda/lib/python3.11/site-packages (from pynapple) (2.5.0)\n",
+      "Requirement already satisfied: tabulate in /opt/conda/lib/python3.11/site-packages (from pynapple) (0.9.0)\n",
+      "Requirement already satisfied: h5py in /opt/conda/lib/python3.11/site-packages (from pynapple) (3.10.0)\n",
+      "Requirement already satisfied: rich in /opt/conda/lib/python3.11/site-packages (from pynapple) (13.7.0)\n",
+      "Requirement already satisfied: matplotlib!=3.6.1,>=3.4 in /opt/conda/lib/python3.11/site-packages (from seaborn) (3.8.2)\n",
+      "Requirement already satisfied: contourpy>=1.0.1 in /opt/conda/lib/python3.11/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (1.2.0)\n",
+      "Requirement already satisfied: cycler>=0.10 in /opt/conda/lib/python3.11/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (0.12.1)\n",
+      "Requirement already satisfied: fonttools>=4.22.0 in /opt/conda/lib/python3.11/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (4.47.2)\n",
+      "Requirement already satisfied: kiwisolver>=1.3.1 in /opt/conda/lib/python3.11/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (1.4.5)\n",
+      "Requirement already satisfied: packaging>=20.0 in /opt/conda/lib/python3.11/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (23.2)\n",
+      "Requirement already satisfied: pillow>=8 in /opt/conda/lib/python3.11/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (10.2.0)\n",
+      "Requirement already satisfied: pyparsing>=2.3.1 in /opt/conda/lib/python3.11/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (3.1.1)\n",
+      "Requirement already satisfied: python-dateutil>=2.7 in /opt/conda/lib/python3.11/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (2.8.2)\n",
+      "Requirement already satisfied: llvmlite<0.43,>=0.42.0dev0 in /opt/conda/lib/python3.11/site-packages (from numba>=0.46.0->pynapple) (0.42.0)\n",
+      "Requirement already satisfied: pytz>=2020.1 in /opt/conda/lib/python3.11/site-packages (from pandas>1.0.3->pynapple) (2024.1)\n",
+      "Requirement already satisfied: tzdata>=2022.7 in /opt/conda/lib/python3.11/site-packages (from pandas>1.0.3->pynapple) (2023.4)\n",
+      "Requirement already satisfied: hdmf>=3.9.0 in /opt/conda/lib/python3.11/site-packages (from pynwb>=2.0.0->pynapple) (3.12.2)\n",
+      "Requirement already satisfied: setuptools in /opt/conda/lib/python3.11/site-packages (from pynwb>=2.0.0->pynapple) (69.0.3)\n",
+      "Requirement already satisfied: mpi4py>=3.1.1 in /opt/conda/lib/python3.11/site-packages (from h5py->pynapple) (3.1.5)\n",
+      "Requirement already satisfied: markdown-it-py>=2.2.0 in /opt/conda/lib/python3.11/site-packages (from rich->pynapple) (3.0.0)\n",
+      "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /opt/conda/lib/python3.11/site-packages (from rich->pynapple) (2.17.2)\n",
+      "Requirement already satisfied: jsonschema>=2.6.0 in /opt/conda/lib/python3.11/site-packages (from hdmf>=3.9.0->pynwb>=2.0.0->pynapple) (4.21.1)\n",
+      "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/conda/lib/python3.11/site-packages (from hdmf>=3.9.0->pynwb>=2.0.0->pynapple) (0.18.5)\n",
+      "Requirement already satisfied: mdurl~=0.1 in /opt/conda/lib/python3.11/site-packages (from markdown-it-py>=2.2.0->rich->pynapple) (0.1.2)\n",
+      "Requirement already satisfied: six>=1.5 in /opt/conda/lib/python3.11/site-packages (from python-dateutil>=2.7->matplotlib!=3.6.1,>=3.4->seaborn) (1.16.0)\n",
+      "Requirement already satisfied: attrs>=22.2.0 in /opt/conda/lib/python3.11/site-packages (from jsonschema>=2.6.0->hdmf>=3.9.0->pynwb>=2.0.0->pynapple) (23.2.0)\n",
+      "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /opt/conda/lib/python3.11/site-packages (from jsonschema>=2.6.0->hdmf>=3.9.0->pynwb>=2.0.0->pynapple) (2023.12.1)\n",
+      "Requirement already satisfied: referencing>=0.28.4 in /opt/conda/lib/python3.11/site-packages (from jsonschema>=2.6.0->hdmf>=3.9.0->pynwb>=2.0.0->pynapple) (0.33.0)\n",
+      "Requirement already satisfied: rpds-py>=0.7.1 in /opt/conda/lib/python3.11/site-packages (from jsonschema>=2.6.0->hdmf>=3.9.0->pynwb>=2.0.0->pynapple) (0.17.1)\n",
+      "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/conda/lib/python3.11/site-packages (from ruamel-yaml>=0.16->hdmf>=3.9.0->pynwb>=2.0.0->pynapple) (0.2.7)\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip install pynapple seaborn"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ea285824-0994-47a5-b6af-63e3116264d9",
+   "metadata": {},
+   "source": [
+    "Let's import pynapple and seaborn, set some seaborn plotting parameters, and load the streamed NWB file into Pynapple by creating a `nap.NWBFile` object using the `pynwb.NWBFile` object that we created earlier from `io.read()`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "61cd613d-db4d-4608-b71f-2d97a37fb802",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "17010302\n",
+       "┍━━━━━━━━━━━━━━━━━━━━━┯━━━━━━━━━━┑\n",
+       "│ Keys                │ Type     │\n",
+       "┝━━━━━━━━━━━━━━━━━━━━━┿━━━━━━━━━━┥\n",
+       "│ units               │ TsGroup  │\n",
+       "│ ElectricalSeriesLFP │ Tsd      │\n",
+       "│ SpatialSeriesLED1   │ TsdFrame │\n",
+       "│ ElectricalSeries    │ Tsd      │\n",
+       "┕━━━━━━━━━━━━━━━━━━━━━┷━━━━━━━━━━┙"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pynapple as nap\n",
+    "import seaborn as sns\n",
+    "\n",
+    "custom_params = {\"axes.spines.right\": False, \"axes.spines.top\": False}\n",
+    "sns.set_theme(style=\"ticks\", palette=\"colorblind\", font_scale=1.5, rc=custom_params)\n",
+    "\n",
+    "nwb = nap.NWBFile(nwbfile)\n",
+    "\n",
+    "nwb"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b6093bb7-e002-47df-8f29-1644da604ba8",
+   "metadata": {},
+   "source": [
+    "We can load the sorted units as a pynapple `TsGroup` for inspection."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "b4957059-c4c0-4c53-99c9-e1855c91d665",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "  Index    rate  unit_name    histology    hemisphere      depth\n",
+       "-------  ------  -----------  -----------  ------------  -------\n",
+       "      0    2.93  t1c1         MEC LII                     0.0024\n",
+       "      1    1.5   t2c1         MEC LII                     0.0024\n",
+       "      2    2.58  t2c3         MEC LII                     0.0024\n",
+       "      3    1.13  t3c1         MEC LII                     0.0024\n",
+       "      4    1.29  t3c2         MEC LII                     0.0024\n",
+       "      5    1.36  t3c3         MEC LII                     0.0024\n",
+       "      6    2.89  t3c4         MEC LII                     0.0024\n",
+       "      7    1.47  t4c1         MEC LII                     0.0024"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "units = nwb[\"units\"]\n",
+    "units"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2017608b-1940-44f7-ab8c-712378499fa8",
+   "metadata": {},
+   "source": [
+    "We can also load the position data, which is a pynapple `TsdFrame`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "4e24caa5-a4f7-4b2e-87a7-aa085295ae41",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Time (s)            x         y\n",
+       "----------  ---------  --------\n",
+       "0.0         -0.442795  17.1039\n",
+       "0.02        -0.442795  17.1039\n",
+       "0.04         1.26778   16.8596\n",
+       "0.06         1.26778   16.8596\n",
+       "0.08        -0.198426  17.1039\n",
+       "...\n",
+       "599.9        2.24526    4.88552\n",
+       "599.92       2.24526    4.88552\n",
+       "599.94       2.00089    6.84047\n",
+       "599.96       2.00089    6.84047\n",
+       "599.98       0.779046   4.64115\n",
+       "dtype: float64, shape: (30000, 2)"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "position = nwb[\"SpatialSeriesLED1\"]\n",
+    "position"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cab5517c-b68c-40c1-9bd7-0431a3dc66f8",
+   "metadata": {},
+   "source": [
+    "Next, let's compute the 2d tuning curves and plot them."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "93d54f38-8761-441d-bbcb-3bb48afd3425",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/conda/lib/python3.11/site-packages/pynapple/process/tuning_curves.py:223: RuntimeWarning: invalid value encountered in divide\n",
+      "  count = count / occupancy\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1500x700 with 8 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "tc, binsxy = nap.compute_2d_tuning_curves(units, position, 20)\n",
+    "\n",
+    "plt.figure(figsize=(15, 7))\n",
+    "for i in tc.keys():\n",
+    "    plt.subplot(2, 4, i + 1)\n",
+    "    plt.imshow(tc[i], origin=\"lower\", aspect=\"auto\")\n",
+    "    plt.title(\"Unit {}\".format(i))\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f49c5a63-1e66-4397-a584-82b1828a1d38",
+   "metadata": {},
+   "source": [
+    "Finally, let's plot the spikes of unit 1, which has a nice grid. Let's use the function `value_from` to assign to each spike the closest position in time."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "24c52805-0a0a-4354-a60c-cef9ab539728",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1500x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(15, 6))\n",
+    "plt.subplot(121)\n",
+    "extent = (\n",
+    "    np.min(position[\"x\"]),\n",
+    "    np.max(position[\"x\"]),\n",
+    "    np.min(position[\"y\"]),\n",
+    "    np.max(position[\"y\"]),\n",
+    ")\n",
+    "plt.imshow(tc[1], origin=\"lower\", extent=extent, aspect=\"auto\")\n",
+    "plt.xlabel(\"x\")\n",
+    "plt.ylabel(\"y\")\n",
+    "\n",
+    "plt.subplot(122)\n",
+    "plt.plot(position[\"y\"], position[\"x\"], color=\"grey\")\n",
+    "spk_pos = units[1].value_from(position)\n",
+    "plt.plot(spk_pos[\"y\"], spk_pos[\"x\"], \"o\", color=\"red\", markersize=5, alpha=0.5)\n",
+    "plt.xlabel(\"x\")\n",
+    "plt.ylabel(\"y\")\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "88284cb9-c774-43c2-8e98-5cfe53b294d9",
+   "metadata": {},
+   "source": [
+    "It is good practice to close any open file and IO objects when you are done working with them so that they can be modified by other processes."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "ecaa28a4-f9d6-466d-ba76-53e690bfdedc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "io.close()\n",
+    "file.close()\n",
+    "f.close()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.11.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}