This is outdoor activity involving students in gathering information on what an American Red Squirrel Eats and its interdependence with the coniferous forest.

This problem illustrates how numerical theories are developed, how we might test this theory with an analog model, and how numerical models are constructed and the limitations of numerical modeling.

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This lab activity is designed for science students in an introductory climatology course. Upon successful completion of the activity, students will have demonstrated an ability to:

Independently navigate and download climate data from online data libraries.
Work with different file types (NetCDF and CSV).
Write appropriate MATLAB code to read and manipulate climate data, and create plots (time series and maps) as instructed.
Extract meaningful information from large 3-dimensional datasets.
Understand and apply fundamental climatology concepts, such as:

Climate statistics (temporal and spatial mean and anomaly; trends; baselines)
Ice-albedo feedback resulting in disproportionate sensitivity to climate change in polar regions

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In this activity students examine groundwater flow path based on hydraulic head data/ potentiometric surface and spatial variation of groundwater chemistry. Students analyze the data using AquaChem and Phreeqc which is integrated with AquaChem

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Sidewalks provide a good analog for the study of fractures when outcrops are not available. This exercise is taught as the first lab of the semester in an undergraduate structural geology course. Students learn to make systematic observations, measure the orientation and location of fractures, manipulate and analyze data, and consider some kinematic and dynamic questions regarding the origin and significance of fractures. Their experiences are also used later in the course to reinforce key concepts of brittle deformation. Done as a group project, it emphasizes the importance of group work and encourages students to propose and defend their ideas.

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This is a problem-based learning activity that guides students through a process whereby the class as a whole investigates various stakeholder perspectives on the global climate change controversy. Individual students then reflect on their own perspectives in light of what they have learned.

An exercise to analyze trends in global oil reserves, production, and consumption.

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Comparative planetary geology requires understanding how geological processes are affected by changes in physical environment-each planet and moon provides an opportunity to refine our understanding of how physical geological processes operate. Volcanism is a great example of a major geological process highly susceptible to such variations. Students performing this exercise will constrain how "Amboy Crater" would look if the same eruption happened on the Moon and Mars. Part 1 of the exercise asks small groups to assess either the yield strength of the Amboy flows or the time required for the flow to travel a given distance. After discussion of the results, Part 2 asks students to characterize the dimensions of the same flow, if emplaced on Mars or the Moon (changing only gravitational acceleration), and the time required for it to form; they are asked to predict the outcome in advance. Part 3 uses "Erupt" freeware by Ken Wohletz to explore how gravity changes will affect cinder cone geometry; the model is tested first to see if it correctly predicts an Amboy-like geometry, and afterwards students are asked to brainstorm what other factors should also be modified to improve the accuracy of the simulation, and how these changes would be expected to affect the geomorphological outcome. Finally, Part 4 asks students to use simple ballistic equations, implemented via an online Applet (Stromboli), to constrain the launch angle and starting velocity for the eruption that formed Amboy Crater (modifications are supposedly underway to permit this applet to run with different values of gravitational acceleration and air resistance).

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The activity is divided into seven parts, as follows:

Part A: students access an online data set of historic global temperature anomalies and use the webpage to answer questions about the source and presentation of the data.
Part B: students copy the data into an Excel spreadsheet and organize it so that it is easy for them to use and for others to follow.
Part C: students graph their data, explore the use of trend lines, and use a linear regression line to predict future temperatures.
Part D: students access an online data set of historic temperature anomalies within their latitude zone, analyze this data, and compare their results to those from Part C.
Part E: students access an online data set of historic temperatures for their state, analyze this data, and compare their results to those from Parts C and D.
Part F: students choose two original questions related to climate variability and use these or other data sets to address their questions.
Part G: students evaluate the statistical significance of their linear regression lines and interpret their results in the context of climate variability

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Students conducted data analysis about American political divisions and created two papers from this data analysis. Sutdents were assigned to group projects involving data analysis assigned chapters in MICROCASE AMERICAN GOVERNMENT, a textbook that includes access to a variety of datasets.

During a lab period, students go out in the field to an area that contains at least 2 fault/fracture sets. Students measure orientations of faults and make observations about the relationship between different fault sets. After the field trip, the students compile their field data, plot it on a stereonet and write-up a brief report. In this report students will use their field observations and stereonet patterns to determine whether faults are related or unrelated to each other.

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This activity is an indoor lab where students will make predictions of what a force vs time and acceleration vs time graph will look like for a ride in an elevator going down and up. Students will collect data remotely using a Force Plate and accelerometer and then download the data to the computer for further analysis.

In preparation for this lab activity, students have read the textbook material on Waves (Garrison, 6th ed., Oceanography), and attended a lecture on the same topic. In class, students will access Coastal Data Information Program (CDIP) data published by the Ocean Engineering Research Group, Center for Coastal Studies, Scripps Institute of Oceanography. Students will compile specific real-time wave and sea surface temperature data sets as specified in the lab assignment. This requires students to generate and interpret multiple graphs from the available data, set-up their own system of data acquisition, and interpret the wave height and sea surface data in the context of the local physical oceanographic parameters.

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This quarter-long project forms the basis of a third-year course for majors and nonmajors at the University of Washington, Bothell called Science Methods and Practice. Students use databases to identify novel research questions, and extract data to test their hypotheses. They frame the question with primary literature, address the questions with inferential statistics, and discuss the results with more primary literature. The product is a scientific paper; each step of the process is scaffolded and evaluated. Given time limitations, we avoid devoting time to data collection; instead, we sharpen
students' ability to make sense of a large body of quantitative data, a situation they may rarely have encountered.

We treat statistics with a strictly conceptual, pragmatic, and abbreviated approach; i.e., we ask students to know which basic test to choose to assess a linear relationship vs. a difference between two means. We stress the need for a normal distribution
in order to use these tests, and how to interpret the results; we leave the rest for stats courses, and we do not teach the mathematics. This approach proves beneficial even to those who have already had a statistics course, because it is often the first time
they make decisions about applying statistics to their own research questions.

We incorporate peer review and collaborative work throughout the quarter. We form collaborative groups around the research questions they ask, enabling them to share primary literature they find, and preparing them well to review each other's writing. We encourage them to cite each other's work. They write formal peer reviews of each other's papers, and they submit their final paper with a letter-to-the-editor highlighting how their research has addressed previous feedback.

A major advantage of this course is that an instructor can easily modify it to suit any area of expertise. Students have worked with data about how a snail's morphology changes in response to its environment (Price, 2012), how students understand genetic drift (Price et al. 2014), maximum body size in the fossil record (Payne et al. 2008), range shifts (Ettinger et al. 2011), and urban crop pollination (Waters and Clifford 2014).

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This activity will introduce pH testing of cleaning products, citrus fruits, and then analyzes a mystery Green product. Students will compare and contrast findings to discover an earth friendly product.

College-level adaptation of a chapter in the Earth Exploration Toolbook. Examine satellite images of atmospheric ozone in the Southern Hemisphere to study changes in concentration over a time.

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Intermediate students are asked to analyze data on the components of consumption and investment expenditures and explanatory variables based on textbook models of each. Students look for rough correlations between the explanatory and dependent variables.

This lab activity has students rolling a marble down a ramp to study position, velocity, and acceleration. Based on a experiment performed by Galileo.

During a previous field trip to a local stream, students examine the stream and flood plain, evaluate evidence for high-discharge events, measure discharge, see the USGS gauging station for the stream and examine historical discharge records. Then, to prepare for hometown stream exercise, students chose a stream of personal interest to them and with at least 30 years of NWIS discharge data, and also gather personal knowledge and background information about their stream. The instructor uses Stony Brook data to model the project by downloading NWIS discharge data and using the data to a) describe the typical annual pattern of discharge, b) graphpeak annual discharge for the years of record, c) making a flood frequency graph and d) integrating background information into an analysis of the stream's discharge. Students then do this for their own streams. The activity involves students in accessing and analyzing real data, integrating background information into a technical analysis. They also gain experience with Microsoft Excel and via other students' work, learn about streams that can be quite different from their own.

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This assignment teaches geochemistry students to explain the mathematical forms of rate laws, and organize paragraphs in their writing assignments properly.

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