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Lecture title:

JupyterHub is a simple, highly extensible, multi-user system for managing per-user Jupyter Notebook servers, designed for research groups or classes. This lecture covers deploying JupyterHub on a single server, as well as deploying with Docker using GitHub for authentication.

Difficulty level: Beginner
Duration: 1:36:27
Speaker: : Thomas Kluyver.
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This talk highlights a set of platform technologies, software, and data collections that close and shorten the feedback cycle in research. 

Difficulty level: Beginner
Duration: 57:52
Speaker: : Satrajit Ghosh
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Difficulty level: Beginner
Duration: 6:10
Speaker: : MATLAB®
Lecture title:
Difficulty level: Beginner
Duration: 15:10
Speaker: : MATLAB®
Lecture title:
Difficulty level: Beginner
Duration: 2:49
Speaker: : MATLAB®
Lecture title:
Difficulty level: Beginner
Duration: 6:10
Speaker: : MATLAB®
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This tutorial illustrates several ways to approach predictive modeling and machine learning with MATLAB.

Difficulty level: Beginner
Duration: 6:27
Speaker: : MATLAB®
Lecture title:
Difficulty level: Beginner
Duration: 3:55
Speaker: : MATLAB®
Lecture title:
Difficulty level: Beginner
Duration: 3:52
Speaker: : MATLAB®
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Tutorial on collaborating with Git and GitHub. This tutorial was part of the 2019 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.

Difficulty level: Intermediate
Duration: 2:15:50
Speaker: : Elizabeth DuPre
Lecture title:

Next generation science with Jupyter. This lecture was part of the 2019 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.

Difficulty level: Intermediate
Duration: 50:28
Speaker: : Elizabeth DuPre
Lecture title:

Introduction to reproducible research. The lecture provides an overview of the core skills and practical solutions required to practice reproducible research. This lecture was part of the 2018 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.

Difficulty level: Beginner
Duration: 1:25:17
Speaker: : Fernando Perez
Lecture title:

A short reel on who we are, what we're doing and why we're doing it

Difficulty level: Beginner
Duration: 2:38
Speaker: :
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In this webinar, educators currently implementing collaborative annotation in their classrooms discuss their experiences with collaborative annotation and using Hythothes.is and Canvas App.

Difficulty level: Beginner
Duration: 53:14
Speaker: : Jeremy Dean
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Tutorial that provides an overview of how to use the feature of Hypothes.is.

Difficulty level: Beginner
Duration: 09:30
Speaker: :
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A brief overview of the Hypothesis functionality from an end user's perspective.

Difficulty level: Beginner
Duration: 5:36
Speaker: : Heather Staines
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This video will teach you the basics of navigating the OSF, a free research management tool, and creating your first projects.

Difficulty level: Beginner
Duration: 2:11
Speaker: :
Lecture title:

This webinar walks you through the basics of creating an OSF project, structuring it to fit your research needs, adding collaborators, and tying your favorite online tools into your project structure.

Difficulty level: Beginner
Duration: 55:02
Speaker: : Ian Sullivan
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This webinar will introduce how to use the Open Science Framework (OSF; https://osf.io) in a Classroom. The OSF is a free, open source web application built to help researchers manage their workflows. The OSF is part collaboration tool, part version control software, and part data archive. The OSF connects to popular tools researchers already use, like Dropbox, Box, Github and Mendeley, to streamline workflows and increase efficiency.

Difficulty level: Beginner
Duration: 32:01
Lecture title:

Organizing related projects with Links, Forks, and Templates.

Difficulty level: Beginner
Duration: 51:14
Speaker: : Ian Sullivan