<commit_before>---
layout: workshop-event
title: "NEON Data Institute 2016"
estimatedTime: 3.0 Hours
packagesLibraries: []
date:   2016-06-25
dateCreated:   2016-02-12
lastModified: 2016-02-12
startDate: 2016-06-20
endDate: 2016-06-25
authors: [<NAME>, <NAME>, <NAME>]
tags: []
mainTag: workshop-event
categories: [workshop-event]
description: "NEON's Data Institutes provide critical skills and foundational 
knowledge for graduate students and early career scientists working with 
heterogeneous spatio-temporal data to address ecological questions. Our 2016 
Institute focused on remote sensing of vegetation using open source tools to 
promote reproducible science. This Institute was held at NEON headquarters in 
June 2016."
code1: 
image:
  feature: 
  credit:
  creditlink: 
permalink: /workshop-event/NEON-Work-With-Data-Insitute-2016
comments: true 
---

NEON's Data Institutes provide critical skills and foundational knowledge for 
graduate students and early career scientists working with heterogeneous 
spatio-temporal data to address ecological questions. 

## June 2016: Remote Sensing with Reproducible Workflows
Our 2016 Institute focused on remote sensing of vegetation using open source 
tools and reproducible science workflows. This Institute was held at NEON 
headquarters in June 2016.

### Online Resources
The teaching materials from the 2016 Data Institute will be converted into 
self-paced online tutorial series and will be provided free on this site. In the
meantime, you can directly access the 
<a href="http://neon-workwithdata.github.io/neon-data-institute-2016/" target="_blank">2016 Data Institute materials here</a>.
These materials were designed to be used in the context of the workshop with an instructor. 

|Time | Day | Description
|---|---|---|
|--| 27 May - 2 June|<a href="http://neon-workwithdata.github.io/neon-data-institute-2016/tutorial-series/pre-institute1/" target="_blank"> Intro to NEON & Reproducible Science</a>|
|--| 3-9 June |<a href="http://neon-workwithdata.github.io/neon-data-institute-2016/tutorial-series/pre-institute2-git/" target="_blank"> Version Control & Collaborative Science with Git & GitHub</a>|
|--| 10-16 June |<a href="http://neon-workwithdata.github.io/neon-data-institute-2016/tutorial-series/pre-institute3-rmd/" target="_blank"> Documentation of Your Workflow with RMarkdown</a>|
|--| 20-26 June| **Date Institute**|
|7:50am - 10:00pm| Monday|<a href="http://neon-workwithdata.github.io/neon-data-institute-2016/tutorial-series/institute-day1/" target="_blank"> Intro to NEON, Intro to HDF5 & Hyperspectral RS</a>|
|8:00am - 6:30pm| Tuesday|<a href="http://neon-workwithdata.github.io/neon-data-institute-2016/tutorial-series/institute-day2/" target="_blank"> Intro to LiDAR data, Automated Workflows</a>|
|8:00am - 6:30pm| Wednesday|<a href="http://neon-workwithdata.github.io/neon-data-institute-2016/tutorial-series/institute-day3/" target="_blank"> Remote Sensing Uncertainty</a>|
|8:00am - 6:30pm| Thursday|<a href="http://neon-workwithdata.github.io/neon-data-institute-2016/tutorial-series/institute-day4/" target="_blank"> LiDAR & Hyperspectral Data Fusion</a>|
|8:00am - 6:30pm| Friday|<a href="http://neon-workwithdata.github.io/neon-data-institute-2016/tutorial-series/institute-day5/" target="_blank"> Group projects</a>|
|9:00am - 2:00pm| Saturday| Group project presentations|

### Presentation Videos

You too can watch several of the presentations that were given at the 2016 Data
Institute! 

* <a href="https://youtu.be/SpDi2kZTkC0" target="_blank">*Big Data, Open Data and Biodiversity* with <NAME>imel</a>
* <a href="https://youtu.be/jaARDWeyNDE" target="_blank"> *An Introduction to Hyperspectral Remote Sensing*</a>
* <a href="https://youtu.be/A4MWxAkolO4" target="_blank">*An Introduction to Full Waveform LiDAR*</a>
* <a href="https://youtu.be/4_EYPNI-A5g" target="_blank">*NEON Remote Sensing Vegetation Indices, Data Products & Uncertainty Measurements*</a>
* <a href="https://youtu.be/eb1QP9-i_jw" target="_blank">*NEON Terrestrial Observation Vegetation Sampling*</a>


### Key 2016 Dates 

* **Application Deadline:** March 28, 2016 
* **Notification of Acceptance:** April 4, 2016 
* **Tuition payment due by:** April 18, 2016 
* **Pre-institute online activities:** June 1-17, 2016 <commit_msg>Typo Fix <commit_after>---
layout: workshop-event
title: "NEON Data Institute 2016"
estimatedTime: 3.0 Hours
packagesLibraries: []
date:   2016-06-25
dateCreated:   2016-02-12
lastModified: 2016-02-12
startDate: 2016-06-20
endDate: 2016-06-25
authors: [<NAME>, <NAME>, <NAME>]
tags: []
mainTag: workshop-event
categories: [workshop-event]
description: "NEON's Data Institutes provide critical skills and foundational 
knowledge for graduate students and early career scientists working with 
heterogeneous spatio-temporal data to address ecological questions. Our 2016 
Institute focused on remote sensing of vegetation using open source tools to 
promote reproducible science. This Institute was held at NEON headquarters in 
June 2016."
code1: 
image:
  feature: 
  credit:
  creditlink: 
permalink: /workshop-event/NEON-Work-With-Data-Insitute-2016
comments: true 
---

NEON's Data Institutes provide critical skills and foundational knowledge for 
graduate students and early career scientists working with heterogeneous 
spatio-temporal data to address ecological questions. 

## June 2016: Remote Sensing with Reproducible Workflows
Our 2016 Institute focused on remote sensing of vegetation using open source 
tools and reproducible science workflows. This Institute was held at NEON 
headquarters in June 2016.

### Online Resources
The teaching materials from the 2016 Data Institute will be converted into 
self-paced online tutorial series and will be provided free on this site. In the
meantime, you can directly access the 
<a href="http://neon-workwithdata.github.io/neon-data-institute-2016/" target="_blank">2016 Data Institute materials here</a>.
These materials were designed to be used in the context of the workshop with an instructor. 

|Time | Day | Description
|---|---|---|
|--| 27 May - 2 June|<a href="http://neon-workwithdata.github.io/neon-data-institute-2016/tutorial-series/pre-institute1/" target="_blank"> Intro to NEON & Reproducible Science</a>|
|--| 3-9 June |<a href="http://neon-workwithdata.github.io/neon-data-institute-2016/tutorial-series/pre-institute2-git/" target="_blank"> Version Control & Collaborative Science with Git & GitHub</a>|
|--| 10-16 June |<a href="http://neon-workwithdata.github.io/neon-data-institute-2016/tutorial-series/pre-institute3-rmd/" target="_blank"> Documentation of Your Workflow with RMarkdown</a>|
|--| 20-26 June| **Data Institute**|
|7:50am - 10:00pm| Monday|<a href="http://neon-workwithdata.github.io/neon-data-institute-2016/tutorial-series/institute-day1/" target="_blank"> Intro to NEON, Intro to HDF5 & Hyperspectral RS</a>|
|8:00am - 6:30pm| Tuesday|<a href="http://neon-workwithdata.github.io/neon-data-institute-2016/tutorial-series/institute-day2/" target="_blank"> Intro to LiDAR data, Automated Workflows</a>|
|8:00am - 6:30pm| Wednesday|<a href="http://neon-workwithdata.github.io/neon-data-institute-2016/tutorial-series/institute-day3/" target="_blank"> Remote Sensing Uncertainty</a>|
|8:00am - 6:30pm| Thursday|<a href="http://neon-workwithdata.github.io/neon-data-institute-2016/tutorial-series/institute-day4/" target="_blank"> LiDAR & Hyperspectral Data Fusion</a>|
|8:00am - 6:30pm| Friday|<a href="http://neon-workwithdata.github.io/neon-data-institute-2016/tutorial-series/institute-day5/" target="_blank"> Group projects</a>|
|9:00am - 2:00pm| Saturday| Group project presentations|

### Presentation Videos

You too can watch several of the presentations that were given at the 2016 Data
Institute! 

* <a href="https://youtu.be/SpDi2kZTkC0" target="_blank">*Big Data, Open Data and Biodiversity* with <NAME></a>
* <a href="https://youtu.be/jaARDWeyNDE" target="_blank"> *An Introduction to Hyperspectral Remote Sensing*</a>
* <a href="https://youtu.be/A4MWxAkolO4" target="_blank">*An Introduction to Full Waveform LiDAR*</a>
* <a href="https://youtu.be/4_EYPNI-A5g" target="_blank">*NEON Remote Sensing Vegetation Indices, Data Products & Uncertainty Measurements*</a>
* <a href="https://youtu.be/eb1QP9-i_jw" target="_blank">*NEON Terrestrial Observation Vegetation Sampling*</a>


### Key 2016 Dates 

* **Application Deadline:** March 28, 2016 
* **Notification of Acceptance:** April 4, 2016 
* **Tuition payment due by:** April 18, 2016 
* **Pre-institute online activities:** June 1-17, 2016 
{'fraction_non_alphanumeric': 0.13031358885017422, 'fraction_numerical': 0.04970963995354239, 'mean_word_length': 5.128825622775801, 'pattern_counts': {'":': 0, '<': 67, '<?xml version=': 0, '>': 67, 'https://': 10, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '3145083', 'n_tokens_mistral': 3137, 'n_tokens_neox': 2700, 'n_words': 790}