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Intro to Graphing
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Intro to Graphing is a 2-phase exercise that introduces students to Excel for the purposes of properly storing their data and producing graphs.

(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
Date Added:
09/08/2020
Intro to R and RStudio for Genomics
Unrestricted Use
CC BY
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Welcome to R! Working with a programming language (especially if it’s your first time) often feels intimidating, but the rewards outweigh any frustrations. An important secret of coding is that even experienced programmers find it difficult and frustrating at times – so if even the best feel that way, why let intimidation stop you? Given time and practice* you will soon find it easier and easier to accomplish what you want. Why learn to code? Bioinformatics – like biology – is messy. Different organisms, different systems, different conditions, all behave differently. Experiments at the bench require a variety of approaches – from tested protocols to trial-and-error. Bioinformatics is also an experimental science, otherwise we could use the same software and same parameters for every genome assembly. Learning to code opens up the full possibilities of computing, especially given that most bioinformatics tools exist only at the command line. Think of it this way: if you could only do molecular biology using a kit, you could probably accomplish a fair amount. However, if you don’t understand the biochemistry of the kit, how would you troubleshoot? How would you do experiments for which there are no kits? R is one of the most widely-used and powerful programming languages in bioinformatics. R especially shines where a variety of statistical tools are required (e.g. RNA-Seq, population genomics, etc.) and in the generation of publication-quality graphs and figures. Rather than get into an R vs. Python debate (both are useful), keep in mind that many of the concepts you will learn apply to Python and other programming languages. Finally, we won’t lie; R is not the easiest-to-learn programming language ever created. So, don’t get discouraged! The truth is that even with the modest amount of R we will cover today, you can start using some sophisticated R software packages, and have a general sense of how to interpret an R script. Get through these lessons, and you are on your way to being an accomplished R user! * We very intentionally used the word practice. One of the other “secrets” of programming is that you can only learn so much by reading about it. Do the exercises in class, re-do them on your own, and then work on your own problems.

Subject:
Biology
Computer Science
Computer, Networking and Telecommunications Systems
Information Science
Life Science
Mathematics
Measurement and Data
Material Type:
Module
Provider:
The Carpentries
Date Added:
04/11/2023
Intro to Vectors Physics and Augmented Reality
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Students learn about video motion capture technology, becoming familiar with concepts such as vector components, magnitudes and directions, position, velocity, and acceleration. They use a (free) classroom data collection and processing tool—the ARK Mirror—to visualize and record 3-D motion. The Augmented Reality Kinematics (ARK) Mirror software collects data via a motion detector. Using an Orbbec Astra Pro 3D camera or Microsoft Kinect (see note below), students can visualize and record a robust set of data and interpret them using statistical and graphical methods. This lesson introduces students to just one possible application of the ARK Mirror software—in the context of a high school physics class. Note: The ARK Mirror is ported to operate on an Orbbec platform. It may also be used with a Microsoft Kinect, although that Microsoft hardware has been discontinued. Refer to the Using ARK Mirror and Microsoft Kinect attachment for how to use the ARK MIrror software with Microsoft Kinect.

Subject:
Applied Science
Computer Science
Computer, Networking and Telecommunications Systems
Engineering
Mathematics
Measurement and Data
Physical Science
Physics
Material Type:
Lesson
Provider:
TeachEngineering
Provider Set:
Lessons
Date Added:
08/30/2018
Investigating Earthquakes: GIS Mapping and Analysis (College Level)
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This is a college-level adaptation of a chapter from the Earth Exploration Toolbook. The students download global quake data over a time range and use GIS to interpret the tectonic context.

(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
Data Set
Interactive
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Teach the Earth
Date Added:
09/08/2020
Investigating Factors That Affect Tsunami Inundation
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Learners modify elements of a tsunami wave tank to investigate the affect that near-coast bathymetry (submarine topography) and coastal landforms have on how far a tsunami can travel inland. Damaging tsunami are most commonly produced by subduction zone earthquakes, such as those that occur in Alaska.

(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
Homework/Assignment
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Teach the Earth
Date Added:
09/26/2022
Investigating dimensions of the solar system
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Planetary data are used to investigate and evaluate the Nebular Hypothesis.

(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
Date Added:
08/17/2019
Investigating the Ocean: Exploring ecological provinces using satellite imagery and oceanographic cruise data
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Show caption
HideA screen-shot from Google Earth showing chlorophyll concentrations in the equatorial Pacific. This is the data that students use in the exercise. Details In this activity, students are split into groups and assigned different ocean regions. These include the Arabian Sea, Equatorial Pacific, North Atantic, and Southern Ocean. Each group uses Google Earth to view NASA satellite chlorophyll imagery and the cruise track of data collected as part of the U.S. Joint Global Ocean Flux Study. At three locations along each cruise track, chlorophyll-temperature-depth (CTD) and bottle data collected as part of the study can be downloaded. Students work with the data to identify oceanographic features as a function of depth and then make simple calculations.

In the second component of the exercise, monthly mean chlorophyll a satellite imagery is also included and students speculate about the annual cycle of physical and biological processes based on that time series. Students compile the results into a presentation for the class. Each group should have different responses to the questions asked and different results for the calculations because each ocean region is very different. This easily leads into a discussion about the major ecological provinces of the ocean and what factors cause variability.

(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
Life Science
Mathematics
Measurement and Data
Oceanography
Material Type:
Activity/Lab
Data Set
Lesson Plan
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Teach the Earth
Date Added:
06/16/2022
Investigation of micropaleontological and paleomagnetic data
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After exposure to the basic concepts of biostratigraphy and magnetostratigraphy, participants apply these concepts to produce a biomagnetostratigraphic age model using microfossil and paleomagnetic data from a Paleogene core recovered from Walvis Ridge in the South Atlantic (Ocean Drilling Program Site 1262). The investigation has three parts: First, observed first and last occurrences of various planktonic foraminifera species at different core depths are given absolute ages through reference to the Berggren et al. (1985) time-scale. Second, these planktonic foraminiferal data are used to identify magnetic reversals within the same core and thereby assign absolute ages to these events. Third, the resulting biomagnetostratigraphic age model is used to estimate the time between two well-documented "hyperthermals" within the core, the Paleocene-Eocene Thermal Maximum (PETM) and the Eocene Layer of Mysterious Origin (ELMO). The investigation illustrates how biostratigraphy and magnetostratigraphy complement one another and together provide an operational time-domain for all subsequent studies, be they paleoceanographic, evolutionary, etc. Note that this investigation operates on an established timescale (i.e., Berggren et al, 1985) and does not explictly demonstrate how such timescales are developed. Thus, instructors are encouraged to have students construct a simple composite relative time scale from basic outcrop data prior to this investigation.

(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 and Natural Resources
Biology
Environmental Studies
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:
09/14/2020
Is There a Trend in Hurricane Number or Intensity?
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In essence, this is an opportunity for students to practice calculating trends with uncertainties to draw conclusions about whether or not there is a trend in hurricane intensity. It follows closely with the IPCC AR4 findings, and is guided so that students will know exactly what they have to do - step by step. Please see the attached document for the bulk of the activity. There are some additional instructor's notes that give a little more background on the concepts involved with confidence intervals and trends. There is also an excel file with all of the necessary data already tabulated for the exercise - so you don't need to go find it yourself unless you want to.

(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
Earth and Space Science
Environmental Science
Life Science
Mathematics
Measurement and Data
Oceanography
Statistics and Probability
Material Type:
Activity/Lab
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Teach the Earth
Date Added:
11/24/2020
Isostasy and crustal thickness
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Students will write a matlab code to calculate crustal thickness of 5 locations. Calculations will use topography (determined by running a matlab script that creates a clickable map) and nominal density values, and the assumption that the crust is in airy isostasy. Students will then run another script (with clickable map) to determine the actual crustal thickness of the locations. If the calculated and actual thicknesses are significantly different, students will discuss possible geodynamic reasons for the non-airy crustal thicknesses.

Subject:
Earth and Space Science
Geology
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:
04/12/2023
Isotope Hydrograph Separation
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Separation of hydrographs into event and pre-event fractions based on measurements and data, rather than arbitrary formulae, was a revolutionary technique in watershed hydrology in the 1970s and has continued to be widely used. Hydrograph separation showed that Hortonian overland flow and rapid delivery of "new" event water to streams during storms was not as widely applicable as had been previously thought. Instead, most water in streams during storms in humid, forested watersheds is typically "old", pre-event water. In most cases, hydrograph separations are conducted using the stable isotopes of water, since they are ideal, conservative tracers. In this exercise, we will be conducting a classic isotope hydrograph separation for a forested watershed in northeastern Ohio.

(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
Date Added:
11/24/2020
Is the New Madrid Seismic Zone at risk for a large earthquake?
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Students do background reading on the possible origins of intraplate seismicity and also read Nuttli's 1973 paper on the 1811-1812 New Madrid sequence. They construct frequency magnitude diagrams using data they acquire themselves from the openly archived University of Memphis catalog, Southern California Earthquake Center catalog, and USGS global catalog. They use these diagrams to estimate a recurrence interval for large magnitude earthquakes at the NMSZ. They then split into teams to read papers detailing campaign GPS surveys, paleoseismic measurements, and heat flow measurements. Each team is responsible for summarizing their set of papers for the other students. The culminating assignment is to update Gomberg and Schweig's 2002 USGS pamphlet "Earthquake hazard in the heart of the homeland" using scientific results that postdate the original pamphlet (including their own analysis). We also end with a "teaching and learning discussion" in which the students, who are usually high school teachers themselves, trade ideas about how they could repurpose parts of the lesson for use in their own classrooms. This activity gives students practice in data analysis and reading scientific papers, it shows them a few resources where they can find openly available data, and it gives them a chance to participate in the practice of science.
Teaching Tips
Adaptations that allow this activity to be successful in an online environment
This lesson was constructed specifically for an online course and didn't exist beforehand. I think it could work in a face-to-face course, too.
Elements of this activity that are most effective
Students,especially ones who are not as literate with software plotting / analysis programs, find the problem set somewhat difficult because the datasets are large and I am asking them to collect the data themselves, then use it to make a second-order plot and analyze that, instead of just plotting "A" vs. "B" and analyzing it.

That being said, I know that students are excited to be able to produce a plot themselves that exactly mimics one they can find in a published paper, and furthermore they are happy to find resources such as the USGS earthquake catalog that contain available real-time data.

The part where they have to compare and contrast the strengths and weaknesses of each technique used to study the NMSZ (seismology, paleoseismology, GPS, etc) is important because they get a real sense of how different approaches are important to resolve a scientific debate. I know they are learning something when they get frustrated because there isn't an easy answer!
Recommendations for other faculty adapting this activity to their own course:
-Be prepared to help students get through the technical aspects of some of the scientific papers, especially if they are not used to reading scientific papers. When I pick the papers for them to read, I purposely pick ones that aren't too long (Science, Nature, GRL, etc) and I try to pick ones that came with a press release, "news and views" or similar, and then I tell the students to read the press release first and then the paper.

-Be prepared to give students hints about counting and sorting data to make the frequency-magnitude diagrams because you'd rather lead them towards how to make the plots and then let them get on with the analysis as opposed to letting them get so frustrated with their lack of technical skills that they aren't interested in the science anymore. This exercise should be about seismology; it shouldn't be an excel tutorial! I have a little set of screen capture movie how-to hints under a hidden url, and when I can tell that a student is really suffering I reveal them.

(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
Date Added:
12/11/2020
Izmit Earthquake
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CC BY-NC-SA
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This lab allows students to look at variety of data from the North Anatolian fault in Turkey. Specifically, students have the oportunity to:

interpret seismograms from the Izmit earthquake in 1999 (while accessing some seismograph station information from IRIS)
make and interpret an earthquake focal mechanism solution based on these seismograms
locate the earthquake epicenter
calculate the moment magnitude of the earthquake using published data showing epicenter locations and displacement measurements
intepret historical data from the North Anatolian fault and tectonic-scale plate motion information to see what patterns occur in the regional seismicity.

(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:
09/05/2020
Jackson County Mines
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Educational Use
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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
Jefferson County Mines
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Educational Use
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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
Julia Data Science
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CC BY-NC-SA
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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:
Computer Science
Computer, Networking and Telecommunications Systems
Information Science
Mathematics
Measurement and Data
Material Type:
Textbook
Date Added:
04/11/2023
Just How Faithful is Old Faithful? Finding Order in Random Behavior
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CC BY-NC-SA
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Spreadsheets Across the Curriculum/Geology of National Parks
Collection. Students create a histogram to examine the time between geyser
eruptions of Old Faithful, Yellowstone National Park.

(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
Date Added:
01/06/2021
Keep Your Cool! Design Your Own Cooler Challenge
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Educational Use
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Students design a cooler and monitor the effectiveness of its ability to keep a bottle of ice water cold in comparison to a bottle of ice water left at room temperature. Students have the opportunity to brainstorm a design of their cooler and its attributes. They then choose from the materials provided to create a prototype. They have the opportunity to test their prototype by measuring the room temperature, the starting temperature of the water and graphing and monitoring the change in temperature over increments time in comparison to the room temperature water.

Subject:
Applied Science
Engineering
Mathematics
Measurement and Data
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
MakerChallenges
Date Added:
07/30/2019
Keeping Our Roads Smooth
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Educational Use
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Students learn how roadways are designed and constructed, and discuss the advantages and limitations of the current roadway construction process. They look at current practices of roadway monitoring, discuss the limitations, and consider ways to further road monitoring research. To conclude, student groups compete to design smooth, cost-efficient and sound model road bases using gravel, sand, water and rubber (representing asphalt). This lesson prepares students for the associated activity in which they act as civil engineers hired by USDOT to research through their own model experimentation how to best use piezoelectric materials to detect road damage by showing how piezoelectric transducers can indicate road damage.

Subject:
Career and Technical Education
Mathematics
Measurement and Data
Physical Science
Physics
Material Type:
Lesson
Provider:
TeachEngineering
Author:
Adam Alster
Amir Alvai
Andrea Varricchione
Drew Kim
Nizar Lajnef
Victoria Davis-King
Date Added:
04/12/2023
Kit Carson County Mines
Read the Fine Print
Educational Use
Rating
0.0 stars

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