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ArcGIS StoryMaps
Conditional Remix & Share Permitted
CC BY-NC-SA
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This is an introduction to the classic version of ArcGIS StoryMaps. It provides a walkthrough of the website functions and has tasks listed for students to build their first story map.

Subject:
Applied Science
Arts and Humanities
Education
Higher Education
Information Science
Material Type:
Activity/Lab
Homework/Assignment
Provider:
Community of Online Research Assignments
Author:
Justin de la Cruz
Date Added:
12/08/2020
Artistic Expression of Original Research Course Curriculum
Unrestricted Use
CC BY
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0.0 stars

Grade level: graduate students, advanced undergrads, persons with analyzed research results

Course length: 1 semester, 4-6 months

Objective: This course empowers scientists to engage with their own data, each other, and the public through art. Through collective brainstorming, prototyping, and feedback from professional artists, students will create a project that expresses their own research through any artistic medium of their choice. The course typically culminates in a public art exhibition where students interact with a general audience to discuss their research, art, and what it means to be a scientist.

Subject:
Arts and Humanities
Biology
Career and Technical Education
Graphic Design
Life Science
Physical Science
Social Science
Visual Arts
Material Type:
Full Course
Author:
Peter Marting
Date Added:
07/25/2018
The Beauty of Data Visualization
Only Sharing Permitted
CC BY-NC-ND
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0.0 stars

David McCandless turns complex data sets (like worldwide military spending, media buzz, Facebook status updates) into beautiful, simple diagrams that tease out unseen patterns and connections. Good design, he suggests, is the best way to navigate information glut -- and it may just change the way we see the world. A quiz, thought provoking question, and links for further study are provided to create a lesson around the 18-minute video. Educators may use the platform to easily "Flip" or create their own lesson for use with their students of any age or level.

Subject:
Business and Communication
Journalism
Material Type:
Lecture
Provider:
TED
Provider Set:
TED-Ed
Author:
David McCandless
Date Added:
08/23/2010
Biostatistics Methods 2
Conditional Remix & Share Permitted
CC BY-SA
Rating
0.0 stars

The aim of this course is to provide fundamental statistical concepts and tools relevant to the practice of summarizing, analyzing, and visualizing data. This course will build your knowledge of the fundamental principles of biostatistical inference. The course will focus on linear regression and generalized linear regression models. We will use a variety of examples and exercises from scientific, medical, and public health research.

Material Type:
Activity/Lab
Full Course
Homework/Assignment
Interactive
Lecture Notes
Lesson Plan
Simulation
Syllabus
Provider:
University of Massachusetts
Provider Set:
Individual Authors
Author:
Jeff Goldsmith
Nicholas G Reich
Date Added:
04/07/2014
CK-12 Advanced Probability and Statistics (CA Textbook)
Conditional Remix & Share Permitted
CC BY-NC-SA
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Submitted as part of the California Learning Resource Network (CLRN) Phase 3 Digital Textbook Initiative (CA DTI3), CK-12 Advanced Probability and Statistics introduces students to basic topics in statistics and probability but finishes with the rigorous topics an advanced placement course requires. Includes visualizations of data, introduction to probability, discrete probability distribution, normal distribution, planning and conducting a study, sampling distributions, hypothesis testing, regression and correlation, Chi-Square, analysis of variance, and non-parametric statistics.

Subject:
Mathematics
Statistics and Probability
Material Type:
Textbook
Provider:
CK-12 Foundation
Provider Set:
CK-12 FlexBook
Author:
Almukkahal, Raja
Date Added:
09/14/2010
A Closer Look at Natural Disasters Using GIS
Read the Fine Print
Educational Use
Rating
0.0 stars

As if they are environmental engineers, student pairs are challenged to use Google Earth Pro (free) GIS software to view and examine past data on hurricanes and tornados in order to (hypothetically) advise their state government on how to proceed with its next-year budget—to answer the question: should we reduce funding for natural disaster relief? To do this, students learn about maps, geographic information systems (GIS) and the global positioning system (GPS), and how they are used to deepen the way maps are used to examine and analyze data. Then they put their knowledge to work by using the GIS software to explore historical severe storm (tornado, hurricane) data in depth. Student pairs confer with other teams, conduct Internet research on specific storms and conclude by presenting their recommendations to the class. Students gain practice and perspective on making evidence-based decisions. A slide presentation as well as a student worksheet with instructions and questions are provided.

Subject:
Applied Science
Computer Science
Engineering
Mathematics
Physical Science
Statistics and Probability
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
Activities
Author:
Kent Kurashima
Date Added:
02/27/2018
Data.gov
Unrestricted Use
Public Domain
Rating
0.0 stars

The home of the U.S. Government’s open data. Here you will find data, tools, and resources to conduct research, develop web and mobile applications, design data visualizations, and more. Topics include Agriculture, Business, Climate, Education, Energy, Ecosystems, Manufacturing and more.

Subject:
Applied Science
Information Science
Life Science
Physical Science
Social Science
Material Type:
Data Set
Provider:
U.S. General Services Administration
Provider Set:
Office of Citizen Services and Innovative Technologies
Date Added:
03/04/2016
Effective Data/Research Communication
Unrestricted Use
Public Domain
Rating
0.0 stars

These are slides for a masters-level course with the following course description:An intensive course in which students will create sophisticated work in multiple modalities (e.g. text, images, audio, etc.) that develops and expresses ideas focused on the needs of the audience to increase its knowledge, foster understanding, or promote a change in its attitudes.The audience for this course was primarily working professionals with a wide range of prior knowledge of these practices, so this material could easily be (and was) adapted for undergraduate students. I think it would also be possible to adapt for high schoolers, if desired.

Subject:
Social Science
Material Type:
Lecture Notes
Author:
Crystal Steltenpohl
Date Added:
10/03/2022
Essentials of Geographic Information Systems
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

Essentials of Geographic Information Systems integrates key concepts behind the technology with practical concerns and real-world applications. Recognizing that many potential GIS users are nonspecialists or may only need a few maps, this book is designed to be accessible, pragmatic, and concise. Essentials of Geographic Information Systems also illustrates how GIS is used to ask questions, inform choices, and guide policy. From the melting of the polar ice caps to privacy issues associated with mapping, this book provides a gentle, yet substantive, introduction to the use and application of digital maps, mapping, and GIS.

Subject:
Physical Geography
Physical Science
Material Type:
Textbook
Provider:
The Saylor Foundation
Author:
Jonathan Campbell
Michael Shin
Date Added:
01/01/2011
A Guide to Data Visualization: Best Practices for Communicating Open Educational Data
Unrestricted Use
CC BY
Rating
0.0 stars

This applied webinar explores best practices for communicating open educational data with a wide audience. Topics include different methods for encoding data, the use of color and considerations for color blindness, visual perception, common pitfalls, and methods for minimizing cognitive load. Dr. Daniel Anderson, from the University of Oregon, guides the audience through these topics, while also briefly discussing mediums for communication, including data dashboards to reach a larger and more diverse audience.

Subject:
Education
Material Type:
Lesson
Provider:
Center for Open Science
Author:
Daniel Anderson
Date Added:
05/19/2021
Hands-On Data Visualization
Only Sharing Permitted
CC BY-NC-ND
Rating
0.0 stars

Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with easy drag-and-drop tools, such as Google Sheets, Datawrapper, and Tableau Public. You’ll also gradually learn how to edit open-source code templates built with Chart.js, Highcharts, and Leaflet on GitHub.

Hands-On Data Visualization takes you step-by-step through tutorials, real-world examples, and online resources. This book is ideal for students, educators, community activists, non-profit organizations, small business owners, local governments, journalists, researchers, or anyone who wants to take data out of spreadsheets and turn it into lively interactive stories. No coding experience is required.

Learn more about this open-access web edition, based on the book manuscript we submitted to our publisher, O’Reilly Media, Inc., which we have permission to freely share under the terms of our contract. Readers may purchase the publisher’s improved and copyedited version, in print or ebook editions. Figure numbering and other details vary between this open-access web edition and the publisher’s editions.

Subject:
Applied Science
Computer Science
Material Type:
Activity/Lab
Textbook
Author:
Ilya Ilyankou
Jack Dougherty
Date Added:
12/13/2022
How to do science: A guide to researching human physiology
Conditional Remix & Share Permitted
CC BY-NC-SA
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0.0 stars

How to do science: a guide to researching human physiology has been written for students of the life sciences who are actively engaged in the scientific process. A lot of support is available for students learning scientific facts, but we found that it was harder to find resources to support students to become scientists.

This ebook introduces you to what it means to be a scientist. You will learn about the scientific method and how to do many tasks of a scientist, your roles and responsibilities as a scientist as well as possible career paths, and how to use your skills as a science graduate to get a leg up in the job market.

This text is published by the La Trobe eBureau.

Subject:
Anatomy/Physiology
Applied Science
Biology
Health, Medicine and Nursing
Life Science
Material Type:
Reading
Textbook
Author:
Brianna Julien
Louise Lexis
Date Added:
08/22/2022
Information Visualization Tutorials
Unrestricted Use
CC BY
Rating
0.0 stars

Information visualization is concerned with the visual and interactive representation of abstract and possibly complex datasets. As we encounter growing datasets in various sectors there is an increasing need to develop effective methods for making sense of data. Information visualization relies on computational means and our perceptual system to help reveal otherwise invisible patterns and gain new insights. Across various fields, there is great hope in the power of visualization to turn complex data into informative, engaging, and maybe even attractive forms. However, it typically takes several steps of data preparation and processing before a given dataset can be meaningfully visualized. While visualizations can indeed provide novel and useful perspectives on data, they can also obscure or misrepresent certain aspects of a phenomenon. Thus it is essential to develop a critical literacy towards the rhetoric of information visualization. One of the best ways to develop this literacy is to learn how to create visualizations! The tutorials offer a practical approach to working with data and to create interactive visualizations.

The tutorials require basic familiarity with statistics and programming. They come as Jupyter notebooks containing both human-readable explanations as well as computable code. The code blocks in the tutorials are written in Python, which you should either have already some experience with or a keen curiosity for. The tutorials make frequent use of the data analysis library Pandas, the visualization library Altair, and a range of other packages. You can view the tutorials as webpages, open and run them on Google Colab, or download the Jupyter notebook files to edit and run them locally.

Subject:
Applied Science
Computer Science
Information Science
Mathematics
Measurement and Data
Material Type:
Activity/Lab
Author:
Marian Dörk
Date Added:
08/26/2020
Julia Data Science
Conditional Remix & Share Permitted
CC BY-NC-SA
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0.0 stars

This is an open-source and open access book on how to do Data Science using Julia. The book describes the basics of the Julia programming language DataFrames.jl for data manipulation and Makie.jl for data visualization.

You will learn to:

- Read CSV and Excel data into Julia
- Process data in Julia, that is, learn how to answer data questions
- Filter and subset data
- Handle missing data
- Join multiple data sources together
- Group and summarize data
- Export data out of Julia to CSV and Excel files
- Plot data with different Makie.jl backends
- Save visualizations in several formats such as PNG or PDF
- Use different plotting functions to make diverse data visualizations
- Customize visualizations with attributes
- Use and create new plotting themes
- Add LaTeX elements to plots
- Manipulate color and palettes
- Create complex figure layouts

Subject:
Applied Science
Computer Science
Information Science
Mathematics
Measurement and Data
Material Type:
Textbook
Author:
Jose Storopoli
Lazaro Alonso
Rik Huijzer
Date Added:
11/10/2021
Jupyter notebooks and videos for teaching Python for Data Science
Unrestricted Use
CC BY
Rating
0.0 stars

This curriculum was designed for high school students with no prior coding experience who are interested in learning Python programming for data science. However, this course material would be useful for anyone interested in teaching or learning basic programming for data analysis.

The curriculum features short lessons to deliver course material in “bite sized” chunks, followed by practices to solidify the learners' understanding. Pre-recorded videos of lessons enable effective virtual learning and flipped classroom approaches.

The learning objectives of this curriculum are:

1. Write code in Python with correct syntax and following best practices.
2. Implement fundamental programming concepts when presented with a programmatic problem set.
3. Apply data analysis to real world data to answer scientific questions.
4. Create informative summary statistics and data visualizations in Python.
5. These skills provide a solid foundation for basic data analysis in Python. Participation in our program exposes students to the many ways coding and data science can be impactful across many disciplines.

Our curriculum design consists of 27 lessons broken up into 5 modules that cover Jupyter notebook setup, Python coding fundamentals, use of essential data science packages including pandas and numpy, basic statistical analyses, and plotting using seaborn and matplotlib. Each lesson consists of a lesson notebook, used for teaching the concept via live coding, and a practice notebook containing similar exercises for the student to complete on their own following the lesson. Each lesson builds on those before it, beginning with relevant content reminders from the previous lessons and ending with a concise summary of the skills presented within.

Subject:
Applied Science
Computer Science
Mathematics
Statistics and Probability
Material Type:
Activity/Lab
Full Course
Homework/Assignment
Lesson Plan
Author:
Alana Woloshin
April Kriebel
Audrey C. Drotos
Brooke N. Wolford
Gabrielle A. Dotson
Hayley Falk
Katherine L. Furman
Kelly L. Sovacool
Logan A. Walker
Lucy Meng
Marlena Duda
Morgan Oneka
Negar Farzaneh
Rucheng Diao
Sarah E. Haynes
Stephanie N. Thiede
Vy Kim Nguyen
Zena Lapp
Date Added:
12/06/2021
Models of the Hydrogen Atom
Unrestricted Use
CC BY
Rating
0.0 stars

How did scientists figure out the structure of atoms without looking at them? Try out different models by shooting light at the atom. Check how the prediction of the model matches the experimental results.

Subject:
Physical Science
Physics
Material Type:
Simulation
Provider:
University of Colorado Boulder
Provider Set:
PhET Interactive Simulations
Author:
Carl Wieman
Chris Malley
Kathy Perkins
Michael Dubson
Mindy Gratny
Sam McKagan
Wendy Adams
Date Added:
01/01/2007
Old Weather: Our Weather's Past, The Climate's Future
Only Sharing Permitted
CC BY-NC-ND
Rating
0.0 stars

Help scientists recover worldwide weather observations made by Royal Navy ships around the time of World War I. These transcriptions will contribute to climate model projections and improve a database of weather extremes. Historians will use your work to track past ship movements and the stories of the people on board.

Subject:
Atmospheric Science
Physical Science
Material Type:
Interactive
Provider:
Citizen Science Alliance
Provider Set:
Zooniverse
Date Added:
04/23/2012
Our World in Data
Unrestricted Use
CC BY
Rating
0.0 stars

The research publications on Our World in Data are dedicated to a large range of global problems in health, education, violence, political power, human rights, war, poverty, inequality, energy, hunger, and humanity’s impact on the environment. On the homepage we list all the global problems and important long-term changes that we have researched.

Thanks to the work of thousands of researchers around the world who dedicate their lives to it, we often have a good understanding of how it is possible to make progress against the large problems we are facing. The world has the resources to do much better and reduce the suffering in the world.

We believe that a key reason why we fail to achieve the progress we are capable of is that we do not make enough use of this existing research and data: the important knowledge is often stored in inaccessible databases, locked away behind paywalls and buried under jargon in academic papers.

The goal of our work is to make the knowledge on the big problems accessible and understandable. As we say on our homepage, Our World in Data’s mission is to publish the “research and data to make progress against the world’s largest problems”.

Licenses: All visualizations, data, and articles produced by Our World in Data are open access under the Creative Commons BY license. You have permission to use, distribute, and reproduce these in any medium, provided the source and authors are credited. All the software and code that we write is open source and made available via GitHub under the permissive MIT license. All other material, including data produced by third parties and made available by Our World in Data, is subject to the license terms from the original third-party authors.

Subject:
Applied Science
Material Type:
Diagram/Illustration
Author:
Bastian Herre
Edouard Mathieu
Hannah Ritchie
Max Roser
Lucas Rod S-guirao Marcel Gerber
Date Added:
08/23/2022