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Lesson title:

Introductory presentation on how data science can help with scientific reproducibility.

Difficulty level: Beginner
Duration: :
Speaker: : Michel Dumontier
Course Name: : Data science and reproducibility
Lesson title:

Introduction to neurons, synaptic transmission, and ion channels.

Difficulty level: Beginner
Duration: : 46:07
Course Name: : Introduction to neurobiology for non-specialists
Lesson title:

2nd part of the lecture. Introduction to cell receptors and signalling cascades

Difficulty level: Beginner
Duration: : 41:38
Course Name: : Introduction to neurobiology for non-specialists
Lesson title:

Introduction to the types of glial cells, homeostasis (influence of cerebral blood flow and influence on neurons), insulation and protection of axons (myelin sheath; nodes of Ranvier), microglia and reactions of the CNS to injury.

Difficulty level: Beginner
Duration: : 40:32
Course Name: : Introduction to neurobiology for non-specialists
Lesson title:

Introduction to the origin and differentiation of myelinating cell types, molecular mechanisms defining onset and progression of myelination, demyelination and remyelination after injury.

Difficulty level: Beginner
Duration: : 38:52
Course Name: : Introduction to neurobiology for non-specialists
Lesson title:

This lecture covers: integrating information within a network, modulating and controlling networks, functions and dysfunctions of hippocampal networks, and the integrative network controlling sleep and arousal.

Difficulty level: Beginner
Duration: : 47:05
Course Name: : Introduction to neurobiology for non-specialists
Lesson title:

This lecture focuses on the comprehension of nociception and pain sensation. It highlights how the somatosensory system and different molecular partners are involved in nociception and how nociception and pain sensation are studied in rodents and humans and the development of pain therapy.

Difficulty level: Beginner
Duration: : 28:09
Speaker: : Serena Quarta
Course Name: : Introduction to neurobiology for non-specialists
Lesson title:

This lecture will highlight our current understanding and recent developments in the field of neurodegenerative disease research, as well as the future of diagnostics and treatment of neurodegenerative diseases

Difficulty level: Beginner
Duration: : 1:02:29
Speaker: : Nir Giladi
Course Name: : Brain medicine for non-specialists
Lesson 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: :
Course Name: : Hypothes.isHypothes.is: a web-based annotation tool
Lesson title:

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
Course Name: : Hypothes.isHypothes.is: a web-based annotation tool
Lesson title:

Tutorial that provides an overview of how to use the feature of Hypothes.is.

Difficulty level: Beginner
Duration: : 09:30
Speaker: :
Course Name: : Hypothes.isHypothes.is: a web-based annotation tool
Lesson title:

A brief overview of the Hypothesis functionality from an end user's perspective.

Difficulty level: Beginner
Duration: : 5:36
Speaker: : Heather Staines
Course Name: : Hypothes.isHypothes.is: a web-based annotation tool
Lesson title:

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: :
Course Name: : Open Science Framework (OSF)
Lesson 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
Course Name: : Open Science Framework (OSF)
Lesson title:

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
Course Name: : Open Science Framework (OSF)
Lesson title:

Organizing related projects with Links, Forks, and Templates.

Difficulty level: Beginner
Duration: : 51:14
Speaker: : Ian Sullivan
Course Name: : Open Science Framework (OSF)
Lesson title:

This webinar will introduce the integration of JASP Statistical Software (https://jasp-stats.org/) with the Open Science Framework (OSF; https://osf.io). The OSF is a free, open source web application built to help researchers manage their workflows

Difficulty level: Beginner
Duration: : 30:56
Speaker: : Alexander Etz
Course Name: : Open Science Framework (OSF)
Lesson title:
  1. How keeping track of the different file versions is important for efficient reproducible research practices
  2. How version control works on the OSF
  3. How researchers can view and download previous versions of files
Difficulty level: Beginner
Duration: : 22:07
Course Name: : Open Science Framework (OSF)
Lesson title:

This lecture focuses on where and how Jupyter notebooks can be used most effectively for education

Difficulty level: Beginner
Duration: : 34:53
Speaker: : Thomas Kluyver.
Course Name: : Jupyter Notebook