diff --git a/HCK19_2024_Remote/agenda/2024_data_conversion_workshop_agenda.pdf b/HCK19_2024_Remote/agenda/2024_data_conversion_workshop_agenda.pdf
index e7d491568..95e82a534 100644
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diff --git a/HCK19_2024_Remote/agenda/2024_data_conversion_workshop_agenda.png b/HCK19_2024_Remote/agenda/2024_data_conversion_workshop_agenda.png
index cc8c76759..c013c9dd8 100644
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diff --git a/HCK20_2024_OpenNeurodataShowcase/README.md b/HCK20_2024_OpenNeurodataShowcase/README.md
index 6bdc152c4..23e35f82c 100644
--- a/HCK20_2024_OpenNeurodataShowcase/README.md
+++ b/HCK20_2024_OpenNeurodataShowcase/README.md
@@ -6,15 +6,11 @@
 * [Dates and Location](#dates-and-location)
 * [Objective](#objective)
 * [Eligibility](#eligibility)
-* [Application](#application)
+* [Registration](#registration)
 * [Virtual Data Showcase Agenda](#agenda)
 * [Organizing Committee](#organizing-committee)
 * [Disclaimer](#disclaimer)
 
-## Report
-
-The combined report for NeuroDataReHack 2023 and the Open Neurodata Showcase 2023 is now available online at [[PDF (GitHub)](../HCK16_2023_Granada_RH/report/Report__NeuroDataReHack_2023.pdf)] [[LaTeX (Overleaf)](https://www.overleaf.com/read/gzpkpyzcrvfr#1400b0)].
-
 ## Dates and Location
 
 - **Dates:** July 2, 9 - 10:30AM PDT (UTC-7) 2024
@@ -39,11 +35,11 @@ This virtual event is open to anyone interested in neurophysiology data, includi
 * Undergraduates and high school students interested in learning about neuroscience
 * Open science advocates
 
-## Application
+## Registration
 
 If you are interested in **attending** the event, register [here](https://forms.gle/amPd4h5kN9BPLX4g7). 
 
-If you are interested in **presenting** your dandiset(s), register as a presenter at Open Neurodata Showcase 2024 [here](https://forms.gle/FwMEEtvQUtzFiEhg7).
+[//]: # (If you are interested in **presenting** your dandiset(s), register as a presenter at Open Neurodata Showcase 2024 [here](https://forms.gle/FwMEEtvQUtzFiEhg7).)
 
 ## Virtual Data Showcase Agenda
 
@@ -53,10 +49,14 @@ If you are interested in **presenting** your dandiset(s), register as a presente
 | Introduction to the virtual data showcase | Organizers        | 9:00-9:20am   |
 | Virtual poster session                    | Data Contributors | 9:20-10:30am  |
 
-<!--
 ## Presenters
-
--->
+* Saskia de Vries, "Allen Institute Observatory - Visual Coding Calcium Imaging Datasets", [DANDI:000728](https://dandiarchive.org/dandiset/000728/draft), [DANDI:000039](https://dandiarchive.org/dandiset/000039), [DANDI:000049](https://dandiarchive.org/dandiset/000049)
+* Alessio Buccino, "SpikeInterface, a unified framework for spike sorting", [DANDI:000034](https://dandiarchive.org/dandiset/000034/0.211030.0713)
+* Xinyue Ma, "Patch-seq recordings from mouse visual cortex", [DANDI:000020](https://dandiarchive.org/dandiset/000020/0.210913.1639)
+* Olivier Winter, "IBL - Brain Wide Map" and "IBL behavioral data", [DANDI:000409](https://dandiarchive.org/dandiset/000409), [DANDI:000045](https://dandiarchive.org/dandiset/000045), [DANDI:000049](https://dandiarchive.org/dandiset/000049)
+* Michael Kyzar, "Data for: Control of working memory maintenance by theta-gamma phase amplitude coupling of human hippocampal neurons" and "Dataset of human-single neuron activity during a Sternberg working memory task.", [DANDI:000673](https://dandiarchive.org/dandiset/000673), [DANDI:000469](https://dandiarchive.org/dandiset/000469)
+* Kevin Le, "Data for: Multimodal single-neuron, intracranial EEG, and fMRI brain responses during movie watching in human patients", [DANDI:000623](https://dandiarchive.org/dandiset/000623)
+* Carolina Filipe, "Neurotask Benchmark Datasets", [DANDI:001055](https://dandiarchive.org/dandiset/001055),, [DANDI:001056](https://dandiarchive.org/dandiset/001056), [DANDI:001057](https://dandiarchive.org/dandiset/001057), [DANDI:001058](https://dandiarchive.org/dandiset/001058), [DANDI:001059](https://dandiarchive.org/dandiset/001059), [DANDI:001060](https://dandiarchive.org/dandiset/001060)
 
 ## Organizing Committee
 
diff --git a/HCK21_2024_Janelia_NDRH/AgendaNeuroDataReHack2024.pdf b/HCK21_2024_Janelia_NDRH/AgendaNeuroDataReHack2024.pdf
new file mode 100644
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diff --git a/HCK21_2024_Janelia_NDRH/AgendaNeuroDataReHack2024.png b/HCK21_2024_Janelia_NDRH/AgendaNeuroDataReHack2024.png
new file mode 100644
index 000000000..89794477b
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diff --git a/HCK21_2024_Janelia_NDRH/README.md b/HCK21_2024_Janelia_NDRH/README.md
index a762c8286..4b02fa418 100644
--- a/HCK21_2024_Janelia_NDRH/README.md
+++ b/HCK21_2024_Janelia_NDRH/README.md
@@ -6,14 +6,16 @@
 [//]: # (* [Report]&#40;#report&#41;)
 * [Dates and Location](#dates-and-location)
 * [Objective](#objective)
-* [Eligibility](#eligibility)
-* [Application](#application)
 * [Logistics](#logistics)
 * [Organizing Committee](#organizing-committee)
 * [Resources](#resources)
 * [What to bring?](#what-to-bring)
+* [Schedule](#schedule)
 * [Disclaimer](#disclaimer)
 
+[//]: # (* [Eligibility]&#40;#eligibility&#41;)
+[//]: # (* [Application]&#40;#application&#41;)
+
 
 ## Dates and Location
 
@@ -50,6 +52,7 @@ awards $50,000 (USD) of funding to continue data reanalysis projects that come o
 This event will primarily focus on analyzing existing data in NWB and on DANDI, **not** converting data to NWB. If 
 you are interested in learning how to convert data, consider signing up for an NWB User Days event.
 
+<!-- 
 ## Eligibility
 
 This course is intended for PhD students, postdoctoral researchers, principal investigators, or similar.
@@ -63,6 +66,8 @@ Space for the event is limited. Apply to attend NeuroDataReHack 2024 [here](http
 * Application deadline: March 10
 * Notification of admission decisions: April 1
 
+-->
+
 ## Logistics
 
 Thanks to the generous sponsorship of The Janelia Research Campus, this event will be free to participants:
@@ -96,14 +101,12 @@ instructions on how to install PyNWB, see
 on how to install MatNWB, see
 [the MatNWB documentation](https://github.com/NeurodataWithoutBorders/matnwb/blob/master/README.md)
 
-<!--
 ## Schedule
 Tentative schedule:
 
 <img align="center" alt="Agenda NeuroDataReHack 2023" src="AgendaNeuroDataReHack2024.png" width="870">
 
 [PDF](AgendaNeuroDataReHack2024.pdf)
--->
 
 ## Disclaimer
 
diff --git a/README.md b/README.md
index 5c623a759..c47778a6a 100644
--- a/README.md
+++ b/README.md
@@ -3,13 +3,13 @@
 ## Hackathon Events
 
 ### Upcoming Events
-- [NWB Data Conversion Workshop: June 2024](HCK19_2024_Remote/README.md) - **June 12 - 14, 2024** (virtual)
-- [NWB and DANDI Workshop: June 2024](Workshop_2024_JHU/README.md) - **June 20 - 21, 2024** at Kavli Neuroscience Discovery Institute at Johns Hopkins University, Baltimore, MD, USA
-- [Open Neurodata Showcase: Virtual, July, 2024](HCK20_2024_OpenNeurodataShowcase/README.md): **July 2, 2024** (virtual)
 - [NeuroDataReHack: July 2024](HCK21_2024_Janelia_NDRH/README.md) - NeuroDataReHack 3 will be held at HHMI Janelia Research Campus in Ashburn, Virginia, USA **July 8-12, 2024**.
 - [NWB and DANDI Workshop INCF: September 2024](Workshop_2024_INCF/README.md) -  **September 26-27, 2024** in Austin, Texas, USA.
 
 ### Past Events
+- [Open Neurodata Showcase: Virtual, July, 2024](HCK20_2024_OpenNeurodataShowcase/README.md): **July 2, 2024** (virtual)
+- [NWB and DANDI Workshop: June 2024](Workshop_2024_JHU/README.md) - **June 20 - 21, 2024** at Kavli Neuroscience Discovery Institute at Johns Hopkins University, Baltimore, MD, USA
+- [NWB Data Conversion Workshop: June 2024](HCK19_2024_Remote/README.md) - **June 12 - 14, 2024** (virtual)
 - [NWB Developer Hackathon: April 2024](HCK18_2024_Dev_Hackathon_DataJoint/README.md): **April 17 - 19, 2024** at DataJoint Headquarters in Houston, TX, USA
 - [NWB and DANDI Workshop: April 2024](Workshop_2024_BCM/README.md) - **April 15 - 16, 2024** at Baylor College of Medicine in Houston, TX, USA
 - [Cosyne: February 2024](Cosyne_2024/README.md) - A tutorial session on NWB and DANDI was held during the
diff --git a/Workshop_2024_JHU/KavliNDI NWB Workshop_Flyer.pdf b/Workshop_2024_JHU/KavliNDI NWB Workshop_Flyer.pdf
new file mode 100644
index 000000000..5077142a4
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diff --git a/Workshop_2024_JHU/NWB Workshop_Agenda.pdf b/Workshop_2024_JHU/NWB Workshop_Agenda.pdf
new file mode 100644
index 000000000..4edd9ffa6
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diff --git a/Workshop_2024_JHU/README.md b/Workshop_2024_JHU/README.md
index fe0043227..56306d624 100644
--- a/Workshop_2024_JHU/README.md
+++ b/Workshop_2024_JHU/README.md
@@ -6,7 +6,7 @@
 
 **Dates:** June 20-21, 2024
 
-**Tentative Location:** [Clark Hall, Johns Hopkins University, Baltimore, MD, USA](https://maps.app.goo.gl/SUbwXYKHWnRGoRF97)
+**Locations:** Shaffer Hall and Clark Hall, Johns Hopkins University, Baltimore, MD, USA
 
 Join us for an interactive workshop on [Neurodata Without Borders (NWB)](https://nwb.org), a data standard for neurophysiology, and the [DANDI Archive](https://dandiarchive.org), a collaboration platform for publishing, sharing, and processing neurophysiology data. Learn how to use these resources to maximize the impact of your data while complying with the new NIH data sharing and management policies.
 
@@ -14,7 +14,7 @@ Representatives from the NWB and DANDI teams, Ben Dichter, Ryan Ly, and Stephani
 
 ## Agenda
 
-**Day 1: June 20, Lectures and Tutorials**
+**Day 1: June 20, Lectures and Tutorials** - Location: Shaffer 3
 
 * **10:30 - 11:30:** Introduction to NWB and DANDI
   * Intro to Neurodata Without Borders (NWB)
@@ -24,54 +24,62 @@ Representatives from the NWB and DANDI teams, Ben Dichter, Ryan Ly, and Stephani
   * OpenScope DataBook
   * Other NWB Events
   * Download the GUIDE
-* **11:30 - 12:** NWB GUIDE tutorial. Follow a self-paced walk-through of converting data to NWB and uploading to DANDI using the new NWB GUIDE application.
-* **12 - 1:** Networking lunch
-* **1 - 2:** Walk-through of NeuroConv, PyNWB and MatNWB. These software libraries
+* **11:30 - 12:15:** NWB GUIDE tutorial. Follow a self-paced walk-through of converting data to NWB and uploading to DANDI using the new NWB GUIDE application.
+* **12:30 - 1:15** Networking lunch
+* **1:30 - 2:30:** Walk-through of NeuroConv, PyNWB and MatNWB. These software libraries
   provide more flexibility than the GUIDE app. This session will walk through their usage
   and tutorials.
-* **2:00 – 2:30:** Interactive DANDI Demo. Explore the features of DANDI, including how to
+* **2:30 – 3:00:** Interactive DANDI Demo. Explore the features of DANDI, including how to
   find and analyze datasets. Topics include:
   * Navigating DANDI
   * Neurosift
   * Search
   * DANDI Hub
-* **2:30 - 2:45:** Break
-* **2:45 – 3:30:** Interactive demos for analyzing data on DANDI Hub.
+* **3:00 - 3:15:** Break
+* **3:15 – 4:00:** Interactive demos for analyzing data on DANDI Hub.
   * Analysis of open data from the Moser Lab in Python on DANDI Hub
   * Analysis of Dandiset 000011 in MATLAB on DANDI Hub
-* **3:30 - 4:** Interactive demo of Dendro. Follow this self-paced tutorial to learn how to
+* **4:00 - 4:30:** Interactive demo of Dendro. Follow this self-paced tutorial to learn how to
     automatically run data processing apps in Dendro, a cloud-based data analysis application.
-* **4 - 5:** BYOD (Bring Your Own Data) Hacking. Developers will be available for 1-1
+* **4:30 - 5:00:** BYOD (Bring Your Own Data) Hacking. Developers will be available for 1-1
   support.
 
-**Day 2: June 21, Hackathon**
+**Day 2: June 21, Hackathon** - Location: Clark Hall 316
 
-**10 AM - 4 PM:** BYOD (Bring Your Own Data) Hacking. Developers will be available
+**10 AM - 4 PM:** BYOD (Bring Your Own Data) Hacking.
+
+Developers will be available
 for 1-1 support. Targeted break-outs in a second room based on participant interest. Topics might include:
   * details on specific experiment modalities, 
   * building and using NWB extensions, or 
   * advanced data storage.
 
 
+## Additional session
+
 On Day 1, we will also host a separate event for early-stage trainees.
 
-**Day 1, Thursday, June 20**
+**Day 1, Thursday, June 20** - Location: Clark Hall 110
 
-6 - 6:45 PM: Intro to Open Neurophysiology with NWB and DANDI.
+**6 - 6:45 PM**: Intro to Open Neurophysiology with NWB and DANDI.
 Early-year graduate students, research assistants, and advanced undergraduates are specially invited to an
 evening workshop to learn about the Neurodata Without Borders (NWB) data standard
 and DANDI Archive for neurophysiology. The session will be focused on how to get
 started with using the NWB data standard and re-using public NWB data in your
-research projects. **Pizza will be served.** Others are welcome to join but note that the
+research projects. **Pizza will be served.** 
+
+Others are welcome to join but note that the
 session will repeat much of the same material presented during the morning/afternoon
 lectures and tutorials.
 
-6:45 - 7 PM: Q+A and Discussion
+**6:45 - 7 PM**: Q+A and Discussion
+
+## Registration
 
-<!-- ## Registration
+The event is free and open to all through the Kavli Neuroscience Discovery Institute.
+Please email sviswa10@jhmi.edu with any questions.
 
-The event is free and open to all, but registration is required for security purposes. -->
+## Flyer
 
-<!-- ## Flyer
+Download the event flyer [here](KavliNDI NWB Workshop_Flyer.pdf) and agenda [here](NWB Workshop_Agenda.pdf).
 
-Download the event flyer [here](images/nwb_dandi_bcm_2024_flyer.pdf). -->
diff --git a/Workshop_2024_JHU/notebooks/matnwb-analysis-demo.mlx b/Workshop_2024_JHU/notebooks/matnwb-analysis-demo.mlx
new file mode 100644
index 000000000..757c6fbc2
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diff --git a/Workshop_2024_JHU/notebooks/pynwb-analysis-demo.ipynb b/Workshop_2024_JHU/notebooks/pynwb-analysis-demo.ipynb
new file mode 100644
index 000000000..239b77ae1
--- /dev/null
+++ b/Workshop_2024_JHU/notebooks/pynwb-analysis-demo.ipynb
@@ -0,0 +1,1415 @@
+{
+ "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": {
+    "tags": []
+   },
+   "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": "markdown",
+   "id": "91a4a7b1-3f61-4f04-9df0-5a8b7d2642c2",
+   "metadata": {},
+   "source": [
+    "There are multiple methods to stream NWB files. We currently recommend fsspec, but additional options are described in the [pynwb streaming tutorial](https://pynwb.readthedocs.io/en/stable/tutorials/advanced_io/streaming.html)."
+   ]
+  },
+  {
+   "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 0x6004229568\\nFields:\\n  description: The name of the ElectrodeGroup this electrode is a part of.\\n  device: EEG pynwb.device.Device at 0x6004228800\\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 0x6004229568\\nFields:\\n  description: The name of the ElectrodeGroup this electrode is a part of.\\n  device: EEG pynwb.device.Device at 0x6004228800\\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 0x6004229568\\nFields:\\n  description: The name of the ElectrodeGroup this electrode is a part of.\\n  device: EEG pynwb.device.Device at 0x6004228800\\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 0x6001542112\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 0x6002655792\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 0x6002655792\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 0x6001041792\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": {
+      "text/plain": [
+       "[Text(0.5, 0, 'X coordinate'), Text(0, 0.5, 'Y coordinate')]"
+      ]
+     },
+     "execution_count": 14,
+     "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": [
+    "time_indices = slice(0, 100)\n",
+    "fig, ax = plt.subplots()\n",
+    "ax.scatter(position.data[time_indices,0], position.data[time_indices,1], c=position.timestamps[time_indices])\n",
+    "ax.plot(position.data[time_indices,0], position.data[time_indices,1], color='k', zorder=0)\n",
+    "ax.set(xlabel=\"X coordinate\", 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 0x6002657904\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": "5daa3d66-1f83-4bdf-b343-4001251cb0e4",
+   "metadata": {},
+   "source": [
+    "We can use these spike times to generate raster plots of single unit activity over time."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "2bed1445-1055-4552-935f-87717ab432f7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots()\n",
+    "for i, st in enumerate(units_df['spike_times']):\n",
+    "    ax.plot(st, np.ones_like(st) + i, '|', markersize=20)\n",
+    "    ax.set(xlabel='Time (s)', ylabel='Unit number')"
+   ]
+  },
+  {
+   "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": 19,
+   "id": "b303dd50-48ea-40b0-b1f8-1c34aa8a2dc3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Indicates the depth of the inserted electrodes in meters.'"
+      ]
+     },
+     "execution_count": 19,
+     "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": 20,
+   "id": "e851df97-6b83-42ed-a074-e41113c251e8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: pynapple in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (0.6.2)\n",
+      "Requirement already satisfied: seaborn in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (0.13.2)\n",
+      "Requirement already satisfied: pandas>1.0.3 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from pynapple) (2.2.2)\n",
+      "Requirement already satisfied: numpy>=1.17.4 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from pynapple) (1.26.4)\n",
+      "Requirement already satisfied: scipy>=1.3.2 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from pynapple) (1.13.0)\n",
+      "Requirement already satisfied: numba>=0.46.0 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from pynapple) (0.59.1)\n",
+      "Requirement already satisfied: pynwb>=2.0.0 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from pynapple) (2.6.0)\n",
+      "Requirement already satisfied: tabulate in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from pynapple) (0.9.0)\n",
+      "Requirement already satisfied: h5py in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from pynapple) (3.11.0)\n",
+      "Requirement already satisfied: rich in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from pynapple) (13.7.1)\n",
+      "Requirement already satisfied: matplotlib!=3.6.1,>=3.4 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from seaborn) (3.8.4)\n",
+      "Requirement already satisfied: contourpy>=1.0.1 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (1.2.1)\n",
+      "Requirement already satisfied: cycler>=0.10 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (0.12.1)\n",
+      "Requirement already satisfied: fonttools>=4.22.0 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (4.51.0)\n",
+      "Requirement already satisfied: kiwisolver>=1.3.1 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (1.4.5)\n",
+      "Requirement already satisfied: packaging>=20.0 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (24.0)\n",
+      "Requirement already satisfied: pillow>=8 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (10.3.0)\n",
+      "Requirement already satisfied: pyparsing>=2.3.1 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (3.1.2)\n",
+      "Requirement already satisfied: python-dateutil>=2.7 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (2.9.0.post0)\n",
+      "Requirement already satisfied: llvmlite<0.43,>=0.42.0dev0 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from numba>=0.46.0->pynapple) (0.42.0)\n",
+      "Requirement already satisfied: pytz>=2020.1 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from pandas>1.0.3->pynapple) (2024.1)\n",
+      "Requirement already satisfied: tzdata>=2022.7 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from pandas>1.0.3->pynapple) (2024.1)\n",
+      "Requirement already satisfied: hdmf>=3.12.2 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from pynwb>=2.0.0->pynapple) (3.13.0)\n",
+      "Requirement already satisfied: setuptools in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from pynwb>=2.0.0->pynapple) (68.2.2)\n",
+      "Requirement already satisfied: markdown-it-py>=2.2.0 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from rich->pynapple) (3.0.0)\n",
+      "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from rich->pynapple) (2.17.2)\n",
+      "Requirement already satisfied: jsonschema>=2.6.0 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from hdmf>=3.12.2->pynwb>=2.0.0->pynapple) (4.21.1)\n",
+      "Requirement already satisfied: ruamel-yaml>=0.16 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from hdmf>=3.12.2->pynwb>=2.0.0->pynapple) (0.18.6)\n",
+      "Requirement already satisfied: mdurl~=0.1 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from markdown-it-py>=2.2.0->rich->pynapple) (0.1.2)\n",
+      "Requirement already satisfied: six>=1.5 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/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 /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from jsonschema>=2.6.0->hdmf>=3.12.2->pynwb>=2.0.0->pynapple) (23.2.0)\n",
+      "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from jsonschema>=2.6.0->hdmf>=3.12.2->pynwb>=2.0.0->pynapple) (2023.12.1)\n",
+      "Requirement already satisfied: referencing>=0.28.4 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from jsonschema>=2.6.0->hdmf>=3.12.2->pynwb>=2.0.0->pynapple) (0.34.0)\n",
+      "Requirement already satisfied: rpds-py>=0.7.1 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from jsonschema>=2.6.0->hdmf>=3.12.2->pynwb>=2.0.0->pynapple) (0.18.0)\n",
+      "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/site-packages (from ruamel-yaml>=0.16->hdmf>=3.12.2->pynwb>=2.0.0->pynapple) (0.2.8)\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": 21,
+   "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": 21,
+     "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": 22,
+   "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": 22,
+     "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": 23,
+   "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": 23,
+     "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": 24,
+   "id": "ff2fedad-370e-4bca-a000-6268d8fca444",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/smprince/anaconda3/envs/bcm-workshop/lib/python3.12/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",
+    "extent = (\n",
+    "    np.min(position[\"x\"]),\n",
+    "    np.max(position[\"x\"]),\n",
+    "    np.min(position[\"y\"]),\n",
+    "    np.max(position[\"y\"]),\n",
+    ")\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\", extent=extent, 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": 25,
+   "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",
+    "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": 26,
+   "id": "ecaa28a4-f9d6-466d-ba76-53e690bfdedc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "io.close()\n",
+    "file.close()\n",
+    "f.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a9c7b6ea-d9ea-465b-b71d-b06649570801",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "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": "3.12.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}