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Prework for Rivers and Streams Lab (Intro Geology)

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Prework for Rivers and Streams Lab (Intro Geology)

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In order to give Introductory Geology (Physical Geology) undergraduate non-majors students experience and confidence in using basic algebra to calculate very simple stream flow properties, we use a prework assignment prior to the Rivers and Streams Lab. Prework is a worksheet assigned 2 weeks in advance, which asks students to calculate velocity and discharge as well as unit conversions and calculations of stream load. The questions are put into the context of activities they completed earlier in the semester during visits to the stream (on campus) so questions are relevant to their previous experiences. The prework timeframe gives students the opportunity to seek extra help from their instructor prior to the lab period in which they will make additional measurements, similar calcualations and interpretations of their data.

(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; Earth and Space Science; Hydrology; Life Science; Mathematics; Measurement and Data; Statistics and Probability
Material Type:: Activity/Lab; Module
Provider:: Science Education Resource Center (SERC) at Carleton College
Provider Set:: Teach the Earth
Date Added:: 08/26/2019

Problem set: Constructing metamorphic phase diagrams using phase equilibria and the Clausius-Clapeyron equation

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Problem set: Constructing metamorphic phase diagrams using phase equilibria and the Clausius-Clapeyron equation

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In this problem set students construct a P-T phase diagram for the aluminosilicate polymorphs based on experimental phase equilibria and application of the Clausius-Clapeyron equation. The problem set uses unit cell volume, molar entropy, and phase equilibrium data culled from the primary literature. It leads students through the exercise in step-by-step fashion starting with a brief explanation of the Clausius-Clapeyron equation. The main goals are to help students understand how thermodynamics can be useful for solving real geologic problems, to provide some insights into the nature and construction of P-T phase diagrams, and to provide experience in dealing quantitatively with real data.

(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; Physical Science; Physics; Statistics and Probability
Material Type:: Activity/Lab; Data Set; Lesson Plan
Provider:: Science Education Resource Center (SERC) at Carleton College
Provider Set:: Teach the Earth
Date Added:: 09/06/2020

Programming with MATLAB

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Programming with MATLAB

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The best way to learn how to program is to do something useful, so this introduction to MATLAB is built around a common scientific task: data analysis. Our real goal isn’t to teach you MATLAB, but to teach you the basic concepts that all programming depends on. We use MATLAB in our lessons because: we have to use something for examples; it’s well-documented; it has a large (and growing) user base among scientists in academia and industry; and it has a large library of packages available for performing diverse tasks. But the two most important things are to use whatever language your colleagues are using, so that you can share your work with them easily, and to use that language well.

Subject:: Computer Science; Computer, Networking and Telecommunications Systems; Information Science; Mathematics; Measurement and Data
Material Type:: Module
Provider:: The Carpentries
Date Added:: 04/11/2023

Programming with Python

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Programming with Python

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The best way to learn how to program is to do something useful, so this introduction to Python is built around a common scientific task: data analysis. Arthritis Inflammation We are studying inflammation in patients who have been given a new treatment for arthritis, and need to analyze the first dozen data sets of their daily inflammation. The data sets are stored in comma-separated values (CSV) format: each row holds information for a single patient, columns represent successive days. The first three rows of our first file look like this: 0,0,1,3,1,2,4,7,8,3,3,3,10,5,7,4,7,7,12,18,6,13,11,11,7,7,4,6,8,8,4,4,5,7,3,4,2,3,0,0 0,1,2,1,2,1,3,2,2,6,10,11,5,9,4,4,7,16,8,6,18,4,12,5,12,7,11,5,11,3,3,5,4,4,5,5,1,1,0,1 0,1,1,3,3,2,6,2,5,9,5,7,4,5,4,15,5,11,9,10,19,14,12,17,7,12,11,7,4,2,10,5,4,2,2,3,2,2,1,1 Each number represents the number of inflammation bouts that a particular patient experienced on a given day. For example, value “6” at row 3 column 7 of the data set above means that the third patient was experiencing inflammation six times on the seventh day of the clinical study. So, we want to: Calculate the average inflammation per day across all patients. Plot the result to discuss and share with colleagues. To do all that, we’ll have to learn a little bit about programming.

Subject:: Computer Science; Computer, Networking and Telecommunications Systems; Information Science; Mathematics; Measurement and Data
Material Type:: Module
Provider:: The Carpentries
Date Added:: 04/11/2023

Programming with R

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Programming with R

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The best way to learn how to program is to do something useful, so this introduction to R is built around a common scientific task: data analysis. Our real goal isn’t to teach you R, but to teach you the basic concepts that all programming depends on. We use R in our lessons because: we have to use something for examples; it’s free, well-documented, and runs almost everywhere; it has a large (and growing) user base among scientists; and it has a large library of external packages available for performing diverse tasks. But the two most important things are to use whatever language your colleagues are using, so you can share your work with them easily, and to use that language well. We are studying inflammation in patients who have been given a new treatment for arthritis, and need to analyze the first dozen data sets of their daily inflammation. The data sets are stored in CSV format (comma-separated values): each row holds information for a single patient, and the columns represent successive days. The first few rows of our first file look like this: 0,0,1,3,1,2,4,7,8,3,3,3,10,5,7,4,7,7,12,18,6,13,11,11,7,7,4,6,8,8,4,4,5,7,3,4,2,3,0,0 0,1,2,1,2,1,3,2,2,6,10,11,5,9,4,4,7,16,8,6,18,4,12,5,12,7,11,5,11,3,3,5,4,4,5,5,1,1,0,1 0,1,1,3,3,2,6,2,5,9,5,7,4,5,4,15,5,11,9,10,19,14,12,17,7,12,11,7,4,2,10,5,4,2,2,3,2,2,1,1 0,0,2,0,4,2,2,1,6,7,10,7,9,13,8,8,15,10,10,7,17,4,4,7,6,15,6,4,9,11,3,5,6,3,3,4,2,3,2,1 0,1,1,3,3,1,3,5,2,4,4,7,6,5,3,10,8,10,6,17,9,14,9,7,13,9,12,6,7,7,9,6,3,2,2,4,2,0,1,1 We want to: load that data into memory, calculate the average inflammation per day across all patients, and plot the result. To do all that, we’ll have to learn a little bit about programming.

Subject:: Computer Science; Computer, Networking and Telecommunications Systems; Information Science; Mathematics; Measurement and Data
Material Type:: Module
Provider:: The Carpentries
Date Added:: 04/11/2023

Project Organization and Management for Genomics

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Project Organization and Management for Genomics

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Data Carpentry Genomics workshop lesson to learn how to structure your metadata, organize and document your genomics data and bioinformatics workflow, and access data on the NCBI sequence read archive (SRA) database. Good data organization is the foundation of any research project. It not only sets you up well for an analysis, but it also makes it easier to come back to the project later and share with collaborators, including your most important collaborator - future you. Organizing a project that includes sequencing involves many components. There’s the experimental setup and conditions metadata, measurements of experimental parameters, sequencing preparation and sample information, the sequences themselves and the files and workflow of any bioinformatics analysis. So much of the information of a sequencing project is digital, and we need to keep track of our digital records in the same way we have a lab notebook and sample freezer. In this lesson, we’ll go through the project organization and documentation that will make an efficient bioinformatics workflow possible. Not only will this make you a more effective bioinformatics researcher, it also prepares your data and project for publication, as grant agencies and publishers increasingly require this information. In this lesson, we’ll be using data from a study of experimental evolution using E. coli. More information about this dataset is available here. In this study there are several types of files: Spreadsheet data from the experiment that tracks the strains and their phenotype over time Spreadsheet data with information on the samples that were sequenced - the names of the samples, how they were prepared and the sequencing conditions The sequence data Throughout the analysis, we’ll also generate files from the steps in the bioinformatics pipeline and documentation on the tools and parameters that we used. In this lesson you will learn: How to structure your metadata, tabular data and information about the experiment. The metadata is the information about the experiment and the samples you’re sequencing. How to prepare for, understand, organize and store the sequencing data that comes back from the sequencing center How to access and download publicly available data that may need to be used in your bioinformatics analysis The concepts of organizing the files and documenting the workflow of your bioinformatics analysis

Subject:: Computer Science; Computer, Networking and Telecommunications Systems; Genetics; Information Science; Life Science; Mathematics; Measurement and Data
Material Type:: Module
Provider:: The Carpentries
Date Added:: 04/11/2023

Properties of Rhyolite Magma

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Properties of Rhyolite Magma

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Students have to determine the dimensions of a Quaternary rhyolite flow from a topographic map, employ a mineral thermometer to establish magma temperature, calculate density of the magma from its chemical composition, and use the Jeffreys equation relating flow velocity and viscosity.

(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; Data Set; Lesson Plan
Provider:: Science Education Resource Center (SERC) at Carleton College
Provider Set:: Teach the Earth
Date Added:: 09/05/2019

Prowers County Mines

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Prowers County Mines

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This Western Mining History database uses Mineral Resources Data System to list known Colorado historical mines by county. Each county site has links to the known mines within its borders. Some are known and named, others are unnamed. Mines should be assumed to be on private property unless other research is conducted. Data provided for each mine site include: Name, State, County, Elevation, Primary Mineral Mined, Latitude and Longitude and a link to Google Maps. Photos are provided where available. Additional information for some Mines are satellite photos, and ownership, business and historical records. Mining History is an historical site that provides information on mining, mining towns, the gold and silver rush, and Photos and maps of the western United States. This is a great database for student historical research or data and statistics classes. Consider becoming a member or making a donation to help further the work of the site.

Subject:: Anthropology; Applied Science; Chemistry; Cultural Geography; Earth and Space Science; Economics; English Language Arts; Environmental Science; Geology; Geoscience; History; Mathematics; Measurement and Data; Physical Geography; Physical Science; Reading Informational Text; Social Science; Sociology; U.S. History
Material Type:: Data Set; Primary Source; Reading
Provider:: Western Mining History
Provider Set:: Historical Colorado Mines
Date Added:: 02/06/2023

Pueblo County Mines

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Pueblo County Mines

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This Western Mining History database uses Mineral Resources Data System to list known Colorado historical mines by county. Each county site has links to the known mines within its borders. Some are known and named, others are unnamed. Mines should be assumed to be on private property unless other research is conducted. Data provided for each mine site include: Name, State, County, Elevation, Primary Mineral Mined, Latitude and Longitude and a link to Google Maps. Photos are provided where available. Additional information for some Mines are satellite photos, and ownership, business and historical records. Mining History is an historical site that provides information on mining, mining towns, the gold and silver rush, and Photos and maps of the western United States. This is a great database for student historical research or data and statistics classes. Consider becoming a member or making a donation to help further the work of the site.

Subject:: Anthropology; Applied Science; Chemistry; Cultural Geography; Earth and Space Science; Economics; English Language Arts; Environmental Science; Geology; Geoscience; History; Mathematics; Measurement and Data; Physical Geography; Physical Science; Reading Informational Text; Social Science; Sociology; U.S. History
Material Type:: Data Set; Primary Source; Reading
Provider:: Western Mining History
Provider Set:: Historical Colorado Mines
Date Added:: 02/06/2023

Pythagoras and the Juice Seller

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Pythagoras and the Juice Seller

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This video lesson presents a real world problem that can be solved by using the Pythagorean theorem. The problem faces a juice seller daily. He has equilateral barrels with equal heights and he always tries to empty the juice of two barrels into a third barrel that has a volume equal to the sum of the volumes of the two barrels. This juice seller wants to find a simple way to help him select the right barrel without wasting time, and without any calculations - since he is ignorant of Mathematics. The prerequisite for this lesson includes knowledge of the following: the Pythagorean theorem; calculation of a triangles area knowing the angle between its two sides; cosine rule; calculation of a circle's area; and calculation of the areas and volumes of solids with regular bases.

Subject:: Geometry; Mathematics; Measurement and Data
Material Type:: Lecture
Provider:: MIT
Provider Set:: MIT Blossoms
Date Added:: 04/08/2023

Python for Humanities

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Python for Humanities

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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 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:: Computer Science; Computer, Networking and Telecommunications Systems; Information Science; Mathematics; Measurement and Data
Material Type:: Module
Provider:: The Carpentries
Date Added:: 04/11/2023

Póngase Critical Equipo STEM

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Póngase Critical Equipo STEM

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Póngase Critical Equipo STEM. El Centro de Extensión y Educación en Ciencias Naturales colabora con la facultad de CSU, los Parques Nacionales y los programas de ciencia ciudadana para traducir su investigación científica actual en experiencias STEM únicas para los estudiantes en forma de kits educativos que se pueden prestar. Cada kit contiene casi todos los materiales necesarios (menos cosas comunes como agua y toallas de papel) para explorar algunos temas de investigación científica realmente interesantes. enviando un formulario de recogida local o un formulario de entrega disponible en el sitio web vinculado. Utilice la información de contacto en la página de descripción general del kit STEM para obtener más información. https://www.cns-eoc.colostate.edu/stem-kits/ Este kit se proporciona de forma gratuita para uso educativo.

Quantifying Groundwater Baseflow and Improving Math Skills through a Stream-Discharge Exercise

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Quantifying Groundwater Baseflow and Improving Math Skills through a Stream-Discharge Exercise

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In week one of the exercise students determine stream discharge by doing some tedious, but simple hand calculations using data sets provided by the instructor. The following week is designed to be more hands-on. Here, they collect their own field data and create a spreadsheet to perform the calculations more efficiently and accurately. By collecting the data themselves, students gain a more thorough understanding of how stream discharge is both measured and computed; they also learn how the results can be used to determine groundwater baseflow. The fact they do hand calculations prior to creating the spreadsheet helps build their math skills and reduces the "black-box" effect that often develops when using software for data analysis. Students also gain valuable experience creating spreadsheets and learn how this tool can be used to perform repetitive computations more efficiently and with less error. Finally, this exercise asks students to consider the accuracy of their replicate field measurements through a series of questions related to their standard deviation and percent error calculations.

(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; Earth and Space Science; Hydrology; 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
Date Added:: 08/27/2020

Quantitative Classroom Exercises

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Quantitative Classroom Exercises

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The four exercises give students an opportunity to use their knowledge of graphs, algebra, and maps to solve simple geological problems.

(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:: Agriculture; Agriculture and Natural Resources; Biology; Earth and Space Science; Geology; Hydrology; 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:: Steven Schafersman
Date Added:: 08/11/2019

Question of the Day: ANWR Drilling Policy

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Question of the Day: ANWR Drilling Policy

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Students analyze the interplay between science and politics on the issue of drilling for oil in the Arctic National Wildlife Refuge.

(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; Earth and Space Science; Geology; 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
Date Added:: 10/17/2019

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Race and Space

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This assignment exposes students to racial inequalities in their own communities and helps them to identify the impact of racial segregation on quality of life. The big ideas in this assignment are racial inequality, residential segregation, and environmental justice.

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Subject:: Agriculture and Natural Resources; Biology; Communication; Composition and Rhetoric; English Language Arts; Environmental Studies; Life Science; Mathematics; Measurement and Data; Social Science; Sociology; Statistics and Probability
Material Type:: Activity/Lab
Provider:: Science Education Resource Center (SERC) at Carleton College
Provider Set:: Teach the Earth
Date Added:: 11/19/2021

Radioactive Decay and Geochronology

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Radioactive Decay and Geochronology

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Students create a STELLA model of the radioactive decay process.

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Subject:: Biology; Life Science; Mathematics; Measurement and Data; Statistics and Probability
Material Type:: Activity/Lab; Interactive
Provider:: Science Education Resource Center (SERC) at Carleton College
Provider Set:: Teach the Earth
Date Added:: 09/03/2020

Radiocarbon dating project

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Radiocarbon dating project

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Groups of 3-4 students work in parallel on different radiocarbon data sets in this project assignment; the content described here would comprise one group data set including a brief descriptive statement and bibliographic reference, raw data including errors, background lecture notes, and an example final poster presentation.

(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:: Applied Science; Biology; Communication; Computer, Networking and Telecommunications Systems; Earth and Space Science; English Language Arts; Environmental Science; Geology; Information Science; Life Science; Mathematics; Measurement and Data; Statistics and Probability
Material Type:: Lesson Plan
Provider:: Science Education Resource Center (SERC) at Carleton College
Provider Set:: Teach the Earth
Date Added:: 08/20/2020

Radiometric Dating

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Radiometric Dating

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This activity leads students through derivations of the equations associated with radiometric dating.

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Subject:: Biology; Earth and Space Science; Geology; 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
Date Added:: 01/14/2020

Radiometric Dating Isochron exercise

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Radiometric Dating Isochron exercise

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This exercise introduces students to the use of isochron diagrams & the math behind them, by using, plotting, and analyzing a real data set.

(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; Earth and Space Science; Geology; Life Science; Mathematics; Measurement and Data
Material Type:: Activity/Lab
Provider:: Science Education Resource Center (SERC) at Carleton College
Provider Set:: Teach the Earth
Date Added:: 08/10/2019