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  • Measurement and Data
Cracking and Crumbling: Exploring Mechanisms of Dike Emplacement
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CC BY-NC-SA
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This case study is based on exercises developed by Dave Pollard and uses images and mapping from Delaney and Pollard (1981). Students explore mechanisms of dike emplacement by measuring dike thicknesses along two segments of a dike intruded into shale near Ship Rock, New Mexico and mapped by Paul Delaney. Students then compare the observed dike profiles to a mechanical model -- the solution for a crack filled with magma under uniform pressure. Using the equation for opening of the crack students estimate the driving stress (difference between the magma pressure and remote principal stress acting perpendicular to the dike plane) using several different estimates of the rock stiffness parameters. Students are then asked to observe how well their best-fit model fits the two dike profiles and to investigate the map further and hypothesize why the observed widths may deviate from the simple model. Deviations from the mechanical model can lead to discussions on mechanical interaction as well as brecciation and stoping.

(Note: this resource was added to OER Commons as part of a batch upload of over 2,200 records. If you notice an issue with the quality of the metadata, please let us know by using the 'report' button and we will flag it for consideration.)

Subject:
Biology
Life Science
Mathematics
Measurement and Data
Statistics and Probability
Material Type:
Activity/Lab
Case Study
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Teach the Earth
Author:
Phil Resor
Date Added:
08/18/2019
Crash Force Bang! Explore Science Club Lesson Plan
Unrestricted Use
Public Domain
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Let's explore some science and math around why seatbelts work. Check out the career video from Billie Jo Deal, Transportation Safety Coordinator from the Oregon Department of Transportation, about how she works to keep people safe on the roads. Then, in the Discovery Challenge, we build crash models and calculate restraining forces.

This lesson introduces NGSS standards, and those standards are listed in the lesson.

Videos are part of the Explore Science Club series, an asynchronous online learning program using YouTube videos that connects elementary and middle school students to STEM professionals through hands-on lessons where students explore science and engineering practices related to the highlighted careers. There is an option to use FlipGrid, an online video recording platform for students to share their discoveries

More info: www.go-stem.org

Subject:
Mathematics
Measurement and Data
Physical Science
Physics
Material Type:
Activity/Lab
Author:
Carrie Caselton Lowe
Date Added:
08/26/2020
Creating 3-D Models using Sketch-Up
Conditional Remix & Share Permitted
CC BY-NC-SA
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The project objective is to have students make a realistic 3-D model that is to scale. Student Mission: Your objective is to create a 3-D model of a building of your choice or imagination. The building must be to scale relative to an average-sized person. You make recreate a dwelling, barn or famous building OR create your dream home. Your building must be to scale and should be finished (windows, roof, shutters, steps, furniture, etc.). The outside of your building should include some surrounding features (e.g. bushes, trees, sidewalks, street, shed, etc.). Your final project should incorporate the elements listed on the rubric and be as detailed as possible. Be creative!

Subject:
Applied Science
Architecture and Design
Career and Technical Education
Computer Science
Engineering
Geometry
Graphic Design
Mathematics
Measurement and Data
Material Type:
Activity/Lab
Assessment
Homework/Assignment
Lesson Plan
Unit of Study
Date Added:
02/28/2019
Creating Mini Wastewater Treatment Plants
Read the Fine Print
Educational Use
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Student teams design and then create small-size models of working filter systems to simulate multi-stage wastewater treatment plants. Drawing from assorted provided materials (gravel, pebbles, sand, activated charcoal, algae, coffee filters, cloth) and staying within a (hypothetical) budget, teams create filter systems within 2-liter plastic bottles to clean the teacher-made simulated wastewater (soap, oil, sand, fertilizer, coffee grounds, beads). They aim to remove the water contaminants while reclaiming the waste material as valuable resources. They design and build the filtering systems, redesigning for improvement, and then measuring and comparing results (across teams): reclaimed quantities, water quality tests, costs, experiences and best practices. They conduct common water quality tests (such as turbidity, pH, etc., as determined by the teacher) to check the water quality before and after treatment.

Subject:
Applied Science
Engineering
Life Science
Mathematics
Measurement and Data
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
Activities
Author:
David Bennett
Sara Hettenbach
William Welch
Date Added:
06/01/2018
Creating Personalized Maps with Google My Maps
Conditional Remix & Share Permitted
CC BY-NC-SA
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This activity focuses on one of the many free web mapping applications available: Google My Maps. Here you will learn how to create your own personalized maps in Google My Maps, complete with linked photographs and YouTube videos. The applications are endless: from your local running/biking routes to a map of your field area, complete with sample locations, sample data, and photographs. You can easily share your map with the rest of the world!

Subject:
Education
Educational Technology
Mathematics
Measurement and Data
Material Type:
Activity/Lab
Homework/Assignment
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Teach the Earth
Author:
Carsten Braun
Date Added:
01/20/2023
Creating and Analyzing Folds in Visible Geology
Conditional Remix & Share Permitted
CC BY-NC-SA
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This activity utilizes Visible Geology to analyze folds on a stereonet using a pi-girdle technique. The assignment starts with students following a simple example, and then creating their own and sharing it with a partner. Students are introduced to concepts of fold axis, axial plane, interlimb angle in three-visualizations: model view, cross-section view, and stereonet view. By moving between these media students are able to draw deeper connections with respect to folding and to stereonet interpretation.

(Note: this resource was added to OER Commons as part of a batch upload of over 2,200 records. If you notice an issue with the quality of the metadata, please let us know by using the 'report' button and we will flag it for consideration.)

Subject:
Biology
Life Science
Mathematics
Measurement and Data
Statistics and Probability
Material Type:
Activity/Lab
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Teach the Earth
Author:
Rowan Cockett
Date Added:
09/30/2022
Critiquing Crummy Maps
Conditional Remix & Share Permitted
CC BY-NC-SA
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Students are given a printout of several not very good maps and asked to critique them as a group. The maps are then projected at the front of the room one at a time and each group contributes their ideas.

Subject:
Education
Educational Technology
Mathematics
Measurement and Data
Material Type:
Activity/Lab
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Teach the Earth
Author:
Emily Burns
Date Added:
01/20/2023
Crystal Structures as Geobarometers
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CC BY-NC-SA
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This exercise is based on the recent formulation of a geobarometer based on the crystal structure of clinopyroxene (Nimis, 1995; 1998; 1999). This method relates structural parameters (e.g., the volumes of the unit cell and the M1 polyhedron) to the pressure at which the mineral crystallizes within basic and ultrabasic magmas.

In this exercise, students are guided into the American Mineralogist Crystal Structure Database to retrieve and download published crystal structure data for viewing in either the CrystalMaker or XtalDraw visualization software packages. The students are instructed on how to examine the structures to determine pressure-sensitive crystallographic parameters and are asked a series of questions related to what they learn.

(Note: this resource was added to OER Commons as part of a batch upload of over 2,200 records. If you notice an issue with the quality of the metadata, please let us know by using the 'report' button and we will flag it for consideration.)

Subject:
Chemistry
Geoscience
Mathematics
Measurement and Data
Physical Science
Statistics and Probability
Material Type:
Activity/Lab
Data Set
Diagram/Illustration
Interactive
Lesson Plan
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Teach the Earth
Author:
Kent Ratajeski
Date Added:
08/08/2019
Crystallization- Differentiation of Basaltic Magma
Conditional Remix & Share Permitted
CC BY-NC-SA
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In this exercise, students use major-element compositions of whole-rocks, volcanic glasses, and minerals in lavas and drill cores from the solidified Kilauea Iki lava lake. The data is presented in the form of a "precompiled" spreadsheet which contains selected analyses culled from the GEOROC database and a USGS Open File report. Students make graphs from the data to learn about the petrologic processes related to the eruption and in situ crystallization of basaltic magma

(Note: this resource was added to OER Commons as part of a batch upload of over 2,200 records. If you notice an issue with the quality of the metadata, please let us know by using the 'report' button and we will flag it for consideration.)

Subject:
Biology
Chemistry
Geoscience
Life Science
Mathematics
Measurement and Data
Physical Science
Statistics and Probability
Material Type:
Activity/Lab
Data Set
Interactive
Lesson Plan
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Teach the Earth
Author:
Kent Ratajeski
Date Added:
08/07/2019
Cyber-mapping for Teaching Undergraduate Geosciences Courses
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CC BY-NC-SA
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To prepare to these labs, students will attend discussions on describing the geometry of geological structures, strain analysis and geological cross-sections.

(Note: this resource was added to OER Commons as part of a batch upload of over 2,200 records. If you notice an issue with the quality of the metadata, please let us know by using the 'report' button and we will flag it for consideration.)

Subject:
Biology
Life Science
Mathematics
Measurement and Data
Material Type:
Activity/Lab
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Teach the Earth
Author:
Mohamed Abdelsalam
Date Added:
05/27/2020
Daily Temperature Collection and Analysis using micro:bit
Unrestricted Use
CC BY
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 In accordance with the UN’s Sustainable Development Goal #3: Good Health and Well-Being, students are asked to help contain the spread of the communicable disease, COVID-19, by monitoring their daily health. Code will be written to use the micro:bit’s thermometer to collect data which is then stored daily in a CSV file and later used to make statistical calculations and a box-and-whisker plot.

Subject:
Measurement and Data
Statistics and Probability
Material Type:
Lesson
Author:
Sandy Carosella
Lauren Beal
Date Added:
07/23/2020
Data Analysis: Building your own Business Dashboard
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CC BY-NC-SA
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Are you ready to leave the sandbox and go for the real deal? Have you followed Data Analysis: Take It to the MAX() and Data Analysis: Visualization and Dashboard Design and are ready to carry out more robust data analysis?

In this project-based course you will engage in a real data analysis project that simulates the complexity and challenges of data analysts at work. Testing, data wrangling, Pivot Tables, sparklines? Now that you have mastered them you are ready to apply them all and carry out an independent data analysis.

For your project, you will pick one raw dataset out of several options, which you will turn into a dashboard. You will begin with a business question that is related to the dataset that you choose. The datasets will touch upon different business domains, such as revenue management, call-center management, investment, etc.

Subject:
Applied Science
Engineering
Mathematics
Measurement and Data
Material Type:
Full Course
Provider:
Delft University of Technology
Provider Set:
TU Delft OpenCourseWare
Author:
Dr. Felienne Hermans
Date Added:
07/31/2018
Data Analysis and Visualization in Python for Ecologists
Unrestricted Use
CC BY
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Python is a general purpose programming language that is useful for writing scripts to work effectively and reproducibly with data. This is an introduction to Python designed for participants with no programming experience. These lessons can be taught in one and a half days (~ 10 hours). They start with some basic information about Python syntax, the Jupyter notebook interface, and move through how to import CSV files, using the pandas package to work with data frames, how to calculate summary information from a data frame, and a brief introduction to plotting. The last lesson demonstrates how to work with databases directly from Python.

Subject:
Applied Science
Computer Science
Information Science
Mathematics
Measurement and Data
Material Type:
Module
Provider:
The Carpentries
Author:
Maxim Belkin
Tania Allard
Date Added:
03/20/2017
Data Analysis and Visualization in R for Ecologists
Unrestricted Use
CC BY
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Data Carpentry lesson from Ecology curriculum to learn how to analyse and visualise ecological data in R. Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. The lessons below were designed for those interested in working with ecology data in R. This is an introduction to R designed for participants with no programming experience. These lessons can be taught in a day (~ 6 hours). They start with some basic information about R syntax, the RStudio interface, and move through how to import CSV files, the structure of data frames, how to deal with factors, how to add/remove rows and columns, how to calculate summary statistics from a data frame, and a brief introduction to plotting. The last lesson demonstrates how to work with databases directly from R.

Subject:
Applied Science
Computer Science
Ecology
Information Science
Life Science
Mathematics
Measurement and Data
Material Type:
Module
Provider:
The Carpentries
Author:
Ankenbrand, Markus
Arindam Basu
Ashander, Jaime
Bahlai, Christie
Bailey, Alistair
Becker, Erin Alison
Bledsoe, Ellen
Boehm, Fred
Bolker, Ben
Bouquin, Daina
Burge, Olivia Rata
Burle, Marie-Helene
Carchedi, Nick
Chatzidimitriou, Kyriakos
Chiapello, Marco
Conrado, Ana Costa
Cortijo, Sandra
Cranston, Karen
Cuesta, Sergio Martínez
Culshaw-Maurer, Michael
Czapanskiy, Max
Daijiang Li
Dashnow, Harriet
Daskalova, Gergana
Deer, Lachlan
Direk, Kenan
Dunic, Jillian
Elahi, Robin
Fishman, Dmytro
Fouilloux, Anne
Fournier, Auriel
Gan, Emilia
Goswami, Shubhang
Guillou, Stéphane
Hancock, Stacey
Hardenberg, Achaz Von
Harrison, Paul
Hart, Ted
Herr, Joshua R.
Hertweck, Kate
Hodges, Toby
Hulshof, Catherine
Humburg, Peter
Jean, Martin
Johnson, Carolina
Johnson, Kayla
Johnston, Myfanwy
Jordan, Kari L
K. A. S. Mislan
Kaupp, Jake
Keane, Jonathan
Kerchner, Dan
Klinges, David
Koontz, Michael
Leinweber, Katrin
Lepore, Mauro Luciano
Li, Ye
Lijnzaad, Philip
Lotterhos, Katie
Mannheimer, Sara
Marwick, Ben
Michonneau, François
Millar, Justin
Moreno, Melissa
Najko Jahn
Obeng, Adam
Odom, Gabriel J.
Pauloo, Richard
Pawlik, Aleksandra Natalia
Pearse, Will
Peck, Kayla
Pederson, Steve
Peek, Ryan
Pletzer, Alex
Quinn, Danielle
Rajeg, Gede Primahadi Wijaya
Reiter, Taylor
Rodriguez-Sanchez, Francisco
Sandmann, Thomas
Seok, Brian
Sfn_brt
Shiklomanov, Alexey
Shivshankar Umashankar
Stachelek, Joseph
Strauss, Eli
Sumedh
Switzer, Callin
Tarkowski, Leszek
Tavares, Hugo
Teal, Tracy
Theobold, Allison
Tirok, Katrin
Tylén, Kristian
Vanichkina, Darya
Voter, Carolyn
Webster, Tara
Weisner, Michael
White, Ethan P
Wilson, Earle
Woo, Kara
Wright, April
Yanco, Scott
Ye, Hao
Date Added:
03/20/2017
Data Analysis and Visualization with Python for Social Scientists
Unrestricted Use
CC BY
Rating
0.0 stars

Python is a general purpose programming language that is useful for writing scripts to work effectively and reproducibly with data. This is an introduction to Python designed for participants with no programming experience. These lessons can be taught in a day (~ 6 hours). They start with some basic information about Python syntax, the Jupyter notebook interface, and move through how to import CSV files, using the pandas package to work with data frames, how to calculate summary information from a data frame, and a brief introduction to plotting. The last lesson demonstrates how to work with databases directly from Python.

Subject:
Applied Science
Computer Science
Information Science
Mathematics
Measurement and Data
Material Type:
Module
Provider:
The Carpentries
Author:
Geoffrey Boushey
Stephen Childs
Date Added:
08/07/2020
Data Analysis in the Psychological Sciences: A Practical, Applied, Multimedia Approach
Conditional Remix & Share Permitted
CC BY-NC-SA
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This open resources textbook contains 10 Units that describe and explain the main concepts in statistical analysis of psychological data (managing data, measures of central tendency, measures of spread, correlations, simple linear regression). In addition to conceptual descriptions and explanations of the basic analyses for descriptive statistics, this textbook also explains how to conduct those analyses with common statistical software (Excel) and open-source free software (R). This book is directed to undergraduates studying basic statistics, especially basic statistics in psychological research.

Subject:
Mathematics
Measurement and Data
Psychology
Social Science
Statistics and Probability
Material Type:
Textbook
Provider:
University of Iowa
Provider Set:
Iowa Research Online
Author:
J. Toby Mordkoff
Leyre Castro
Date Added:
02/02/2023
Data Carpentry for Biologists
Unrestricted Use
CC BY
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The Biology Semester-long Course was developed and piloted at the University of Florida in Fall 2015. Course materials include readings, lectures, exercises, and assignments that expand on the material presented at workshops focusing on SQL and R.

Subject:
Applied Science
Biology
Computer Science
Information Science
Life Science
Mathematics
Measurement and Data
Material Type:
Module
Provider:
The Carpentries
Author:
Ethan White
Zachary Brym
Date Added:
08/07/2020
Data Cleaning with OpenRefine for Ecologists
Unrestricted Use
CC BY
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A part of the data workflow is preparing the data for analysis. Some of this involves data cleaning, where errors in the data are identified and corrected or formatting made consistent. This step must be taken with the same care and attention to reproducibility as the analysis. OpenRefine (formerly Google Refine) is a powerful free and open source tool for working with messy data: cleaning it and transforming it from one format into another. This lesson will teach you to use OpenRefine to effectively clean and format data and automatically track any changes that you make. Many people comment that this tool saves them literally months of work trying to make these edits by hand.

Subject:
Applied Science
Computer Science
Information Science
Mathematics
Measurement and Data
Material Type:
Module
Provider:
The Carpentries
Author:
Cam Macdonell
Deborah Paul
Phillip Doehle
Rachel Lombardi
Date Added:
03/20/2017
Data-Driven Learning Personas
Only Sharing Permitted
CC BY-ND
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Learn how instructional designers use data to inform the creation of a Learning Persona. Learning Personas help determine the needs of the training and help ...

Subject:
Business and Communication
Career and Technical Education
Communication
Education
Mathematics
Measurement and Data
Material Type:
Lesson
Author:
LAPU
Date Added:
03/02/2023