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Below are links to our partner groups on QUBES who have resources that are ready to implement in online settings. Note that many of these resources have adaptations that are also suitable for online courses. Check back often for updates!

If you would like to contribute a resource please consider posting to a collection or submitting your material as an open educational resource


AIMS

AIMS modules use fascinating images set in real biological research to help science students learn quantitative skills they need.

Dendroclimatology

Jeremy M Wojdak, R. S. Maxwell

Version: 2.0

Dendroclimatologists can reconstruct climate records further into the past than written records, by examining tree rings. Students "reverse-engineer" this process by considering growth rates of a tree species in response to various...
linear regression, graphing, data visualization, standardization, climate, tree rings, dendrochronology
2.9K
1.9K
0
0
09.2018

3D breast cancer tissue reconstruction

Jeremy M Wojdak, Kerri-Ann Norton

Version: 2.0

This module allows students to follow a researcher as she discovers new features of breast cancer tissue architecture, using 3D reconstructions of histological specimens.
graphing, data visualization, breast cancer, DCIS, histograms, centroid, sums of squares
2.3K
1.7K
0
0
09.2018

Phenotypic plasticity and predation

Jeremy M Wojdak, Justin Touchon

Version: 2.0

Students predict changes to tadpole morphology and coloration after considering characteristics of the predator species and the prey themselves then test their own hypotheses (typically with t-tests or ANOVA) by collecting novel data via image...
R, Excel, image analysis, graphing, t-tests, frequency histograms, data visualization, ANOVA, hypothesis formulation, predator-prey interactions, phenotypic plasticity
2.9K
1.4K
0
0
08.2018

Leaf cutter ant foraging

Jeremy M Wojdak, Justin Touchon, Myra Hughey

Version: 1.0

This module introduces students to leaf-cutter ants in the rainforests of Panama. Students derive their own research hypotheses regarding ant foraging or allometric scaling relationships.
leaf cutter ants, foraging, allometry, linear regression, graphing, data visualization, Resources @ AIMS, body size
3.1K
1.6K
0
0
08.2018

Avida-ED

Avida-ED is an award-winning educational application developed at Michigan State University for undergraduate biology courses to help students learn about evolution and scientific method by allowing them to design and perform experiments to test hypotheses about evolutionary mechanisms using evolving digital organisms. Read more about using Avida-ED in a blog post by Jim Smith

Avida-ED Lab Book

Robert T Pennock, Louise Mead, Wendy Johnson, Amy Lark, Jim Smith, Cory Kohn

Version: 1.0

Avida-ED activities, modified for the Argentina 2019 Avida-ED Workshop, presented at the 2019 BioQUEST & QUBES Summer Workshop
Evolution, avida-ed
2.2K
2.2K
0
0
05.2019

BIOMAAP

The Biology Students Math Attitudes and Anxiety Program is a resource for educators who are looking to implement non-invasive techniques to change student attitudes and reduce anxiety towards math.

Frayer model growth mindset

Heather McGray

Version: 1.0

A Frayer model worksheet for the concept of growth mindset.
growth mindset, Frayer model
2.1K
773
0
0
06.2019

BLUE

Biodiversity Literacy in Undergraduate Education - Data Initiative (BLUE Data) is a community of biodiversity, data, and education specialists who are working together to identify core biodiversity data competencies for undergraduates, develop strategies for integrating these competencies into the introductory biology curriculum, and build capacity for sustained development and implementation of biodiversity and data literacy education.

Following the Data

Anna Monfils, Debra Linton, Molly Phillips, Libby Ellwood

Version: 1.0

The video and exercise provides insight into how researchers are using digital data resources to investigate biodiversity in prairie fen wetlands.
data in the classroom, process of science, biodiversity informatics
3.2K
1.0K
1
0
05.2020
This module uses digitized natural history and biodiversity collections to explore if, how, and whether disability can be studied in nonhumans as a form of biodiversity.
1.6K
1.6K
0
0
03.2020
Adapted for online learning: In this lab, you will explore the physics of flight, the adaptations that make powered flight possible, and the evolution of powered flight in vertebrates and invertebrates.
citizen science, quantitative skills, Digital Repository, Flight
2.3K
829
0
0
03.2020

Data Visualization

Anna Monfils

Version: 1.0

This is an introduction to the idea of data visualization and the importance of presenting data for understanding.
data in the classroom, data visualization
2.1K
672
0
0
03.2020

Communicating with Data: Digital Data Resources

Anna Monfils, Debra Linton

Version: 1.0

Students access, clean, configure, and standardize a dataset and create a relevant and scientifically valid data visualization to communicate science.
data in the classroom, data visualization, digital resources, biodiversity informatics, biodiversity collections
1.9K
520
0
0
03.2020

Communicating with Data: Infographic with Digital Data

Anna Monfils, Debra Linton

Version: 1.0

Working collaboratively in teams of 2-4 researchers, students engage in targeted projects to address critical information and research needs using digital biodiversity data.
databases, data in the classroom, undergraduate research, digital collections, course-based research experiences (CUREs), biodiversity collections
1.8K
507
0
0
03.2020

GBIF Tutorial - BLUE Resource

Libby Ellwood

Version: 1.0

A user guide and video instructions for GBIF
Querying databases, database, data in the classroom, biodiversity informatics, biodiversity collections
2.5K
772
0
0
03.2020

iDigBio Tutorial - BLUE Resource

Molly Phillips

Version: 1.0

A user guide and video instructions for iDigBio
databases, Querying databases, data in the classroom, biodiversity informatics, biodiversity collections
2.8K
848
0
0
03.2020

Arctos Tutorial - BLUE Resource

Erica Krimmel

Version: 1.0

A user guide and video instructions for Arctos
databases, data in the classroom, biodiversity informatics, biodiversity collections
1.9K
629
0
0
03.2020

Data Ethics

Rebecca Renirie

Version: 1.0

Data ethics and the use of digital data
data science, research ethics, data ethics
1.9K
641
0
0
03.2020
Collections based research is a critical tool for organismal biology and biodiversity research. Yet natural history collections have a complicated past. This multi-class module examines the origins, problems, and current uses of collections.
natural history, collections, digital resources, OER, Biodiversity, natural history museums, digital collections, birds, Biodiversity Collections Network (BCoN), BLUE
2.3K
1.8K
0
0
12.2019
In this module, students practice interpreting the relationship between variables before exploring changes in butterfly phenology through the use of natural history collections data.
Excel, Resources @ ESA - TIEE, graphing, climate change, fmn, phenology, natural history collections, DIG, butterfly, interspecific interactions
2.0K
870
0
0
06.2019

Data is the New Science

Anna Monfils, Debra Linton, Libby Ellwood, Molly Phillips

Version: 1.0

In this module, students will be introduced to some emerging biodiversity data resources. They will be asked to think critically about the strengths and utility of these data resources and apply what they have learned to research question.
data in the classroom, biodiversity informatics, natural history collection
3.5K
1.3K
2
0
04.2019

Exploring Data with BISON

Erica Krimmel

Version: 1.0

A module to explore aggregated observation and collection information, through BISON, or Biodiversity Information Serving Our Nation (https://bison.usgs.gov), a tool for visualizing GBIF data.
Querying databases, data in the classroom, biodiversity informatics, natural history collections
2.0K
644
0
0
03.2019

Botanical Society of America

BSA is a nonprofit membership society. Their mission is to: promote botany, the field of basic science dealing with the study and inquiry into the form, function, development, diversity, reproduction, evolution, and uses of plants and their interactions within the biosphere.

Transpiration

J. Phil Gibson

Version: 1.0

In this lab, students will examine differences between C3 and C4 plants in their transpiration rates.
plant physiology, botany, laboratory
2.1K
522
3
0
03.2018

Data Nuggets

Data Nuggets are free classroom activities, co-designed by scientists and teachers. They are an innovative approach to bring contemporary research and authentic data into the classroom. Data Nuggets include a connection to the scientist behind the data and the true story of their research process. Data Nuggets give students practice working with “messy data” and interpreting quantitative information. Students are guided through the entire process of science, including identifying hypotheses and predictions, visualizing and interpreting data, making evidence based claims, and asking their own questions for future research. Because of their simplicity and flexibility, Data Nuggets can be used throughout the school year, and across grades K-16, as students grow in their quantitative abilities and gain confidence. Data Nuggets have the potential to improve the understanding of science in society and help engage and motivate the next generation of scientists and engineers.

Minor modifications were made to this Data Nugget in order to use it in a fully online version of the introductory, non-majors botany course, Plants and People.
3.0K
1.9K
0
0
03.2018
This publication contains the adaptations I made to the Data Nuggets module in order to use it with an online, introductory, non-majors botany class. I used this with a unit on natural and artificial selection in plants.
4.2K
4.8K
0
0
03.2018

DIG

The Data Incubator Group focuses on promoting quantitative education through expanding the adoption of data-centric resources and facilitating large-scale collaboration on approaches to classroom implementation

This resource seeks to provide a quantitative platform by which students can be taught about interactive effects using the TIEE module created by Little (2018). Key to the adaptation is the use of a Shiny app to create figures and R output.
aquatic macroinvertebrates, linear regression, hypothesis testing, shiny, wetlands
1.7K
255
0
0
01.2019
Students investigate the role of olfaction and infochemicals on bird foraging behavior through three different quantitative modules. In this module students create graphs, generate statistics, draw conclusions, and apply their knowledge.
Resources @ ESA - TIEE, foraging, fmn, behavioral ecology, DIG, trophic cascades, Antarctic foodd webs
2.9K
910
2
0
06.2018
Identifying, mapping and understanding the magnitude and the spatial prevalence of the Sexually Transmitted Diseases (STDs) such as chlamydia and gonorrhea diseases. Analyzing the spatial trends of the disease patterns at National, State and...
Resources @ ESA - TIEE, Disease ecology, fmn, DIG, human ecology and behavior, bacterial infections, spatial and temporal spread of disease, Geographic Information System (GIS)
2.5K
731
0
0
06.2018

Diseasebots

Arietta Fleming-Davies, Skylar Hopkins

Version: 1.0

This module explores the effects of host density on contact rates and transmission of pathogens or mutualist symbionts using a hands-on simulation, a computer agent-based model in NetLogo, and an authentic ecological dataset.
NetLogo, Disease ecology, density dependence, Spreadsheet, host-parasite, mutualism, Open-inquiry group projects, manipulative models (‘beanbag biology’), plotting
2.3K
1.6K
1
0
06.2018
This module contains a series of take-home activities to prepare students to analyze their own dataset collected in lab.
urban ecosystems, refugia from habitat loss, group homework
2.4K
3.1K
0
0
05.2018

Earth Lab 

Earth Lab capitalizes on the data deluge from space and other platforms to accelerate science, reduce environmental risk, and train a new generation of earth data scientists. The Earth Lab Earth Analytics Education Initiative provides undergraduate, graduate, and professional students as well as online learners around the globe with core in-demand technical skills at the intersection of earth and environmental science and data science. All work is guided by a commitment to open and reproducible science, open education and expanding the reach of earth data science education to students across varying academic, professional, socio-economic and geographic dimensions. 

Earth Analytics in Python Course

Leah Wasser, Jenny Palomino, Chris Holdgraf

Version: 1.0

Earth analytics is an intermediate, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of heterogeneous ‘big scientific data’.
data analysis, data, data types, data science, earth science, python, permafrost, remote sensing, floods, Geographic Information System (GIS), data science education, computer programming, wildfire, earth analytics
2.0K
449
0
0
11.2019

Get Started With GIS in Open Source Python Workshop

Leah Wasser, Jenny Palomino, Joe McGlinchy

Version: 1.0

There are a suite of powerful open source python libraries that can be used to work with spatial data. Learn how to use geopandas, rasterio and matplotlib to plot and manipulate spatial data in Python.
data analysis, data, data types, data visualization, data science, earth science, python, remote sensing, Geographic Information System (GIS), data science education, computer programming, wildfire, earth anlaytics
1.6K
379
0
0
10.2019

Introduction to Version Control and Git Workshop

Leah Wasser, Max Joseph

Version: 1.0

Learn how to use version control with Git to work collaboratively and back up your work.
data analysis, data, data types, data science, earth science, python, remote sensing, github, version control, data science education, computer programming, wildfire, earth analytics, v, geographic information systems
1.5K
358
0
0
10.2019

Writing Clean Code in R Workshop

Max Joseph, Leah Wasser

Version: 1.0

When working with data, you often spend the most amount of time cleaning your data. Learn how to write more efficient code using the tidyverse in R.
data analysis, data types, data visualization, data science, earth science, R programming language, remote sensing, Geographic Information System (GIS), data science education, computer programming, wildfire, earth analytics
1.7K
399
0
0
10.2019

Introduction to Earth Data Science Textbook

Jenny Palomino, Leah Wasser

Version: 1.0

Introduction to Earth Data Science is an online textbook for anyone new to open reproducible science and the Python programming language. There are no prerequisites for this material, and no prior programming knowledge is assumed.
data analysis, data, data types, data visualization, data science, earth science, python, remote sensing, Geographic Information System (GIS), data science education, computer programming, wildfire, earth analytics
1.8K
524
0
0
10.2019

Earth Analytics in R Course

Leah Wasser

Version: 1.0

Earth analytics is an advanced, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of heterogeneous ‘big scientific data.’
data analysis, data, data types, data visualization, data science, earth science, R programming language, remote sensing, Geographic Information System (GIS), data science education, computer programming, wildfire, earth analytics
1.5K
381
0
0
10.2019

Earth Analytics Bootcamp Course

Jenny Palomino, Leah Wasser

Version: 1.0

The Earth Analytics Bootcamp is a three-week introductory-level course taught by instructors in Earth Lab and is a part of the Professional Certificate in Earth Data Analytics - Foundations at CU Boulder.
data analysis, data, data types, data visualization, data science, earth science, python, remote sensing, Geographic Information System (GIS), data science education, d, computer programming, wildfire, earth analytics
1.4K
403
0
0
10.2019

EDSIN

Growth in large ecological datasets and large environmental synthesis projects has resulted in the need for a diverse workforce with technical data science skills. A variety of organizations support underrepresented groups entering the data science field through training, mentoring, and networking opportunities. However, many of these initiatives have been developed in isolation, limiting opportunities for an exchange of ideas and lessons learned.  The Environmental Data Science Inclusion Network (EDSIN) is intended to strengthen initiatives across existing alliances and organizations to recruit and retain individuals from underrepresented groups in data science careers.

Calling Bull in an Age of Big Data with R

Carrie Diaz Eaton

Version: 2.0

Use the calling bull course to introduce students to data, ethics, visualization, and R.
data science, information literacy, data literacy, ethics, callin bull, calling bull
3.1K
3.0K
0
0
05.2019

ESA

The Ecological Society of America (ESA) is a nonpartisan, nonprofit organization of scientists founded in 1915 to promote ecological science and improve the quality of ecology education at all levels.

This module is a modification of the Beckstead et al. module in TIEE Volume 7. It includes a meta-cognition based model and self reflection, no statistics, and is organized to be done in 1-2 lab/in-class periods (no advance reading, no homework).
Resources @ ESA - TIEE, case study, population ecology, endangered species, conservation biology, migration ecology
1.7K
1.3K
0
0
05.2019
This is a modification of the Linton et al. module in TIEE Volume 13. Students use data from digitized museum records of butterfly specimens in a modification with no homework (lab/workshop format) or statistics knowledge required.
Excel, Resources @ ESA - TIEE, climate change, fmn, phenology, natural history collections, DIG, butterfly, interspecific interactions
2.0K
1.7K
0
0
05.2019
data analysis, Resources @ ESA - TIEE, climate change, phenology, species diversity, problem set, Worksheet
1.8K
682
0
0
05.2018

Changes in Lake Ice: Ecosystem Response to Global Change

Todd Levine, Robert Bohanan, Marianne Krasny, Adam Welman

Version: 1.0.0 Adapted From: Changes in Lake Ice: Ecosystem Response to Global Change v1.0

Data Set included in included in Teaching Issues and Experiments in Ecology (TIEE) Volume 3
data analysis, Resources @ ESA - TIEE, assessment, Worksheet, limnology, aquatic, lake
1.6K
625
0
0
05.2018

Project EDDIE

Project EDDIE (Environmental Data-Driven Inquiry and Exploration) is a suite of education projects composed of STEM disciplinary and educational researchers. We develop flexible classroom teaching modules using large, publicly available datasets to engage students in STEM and improve their quantitative reasoning. Teaching modules span topics such as ecology, limnology, geology, hydrology, and environmental sciences. EDDIE also helps build the associated professional development needed to ensure effective use of the teaching modules.

This module introduces students who are already familiar with GIS to doing comparative analyses with large-scale community science (often called citizen science) data sets. Students will explore how we can use community science data to examine the spread and distribution of invasive species in different geographic locations. In the final step, students will identify different invasive species and determine if community science data accurately maps the threat these species pose.
Invasive Species, Project EDDIE, Citizen and Community Science
526
925
1
0
04.2023
Environmental health is a field of study within public health that is concerned with human-environment interactions, and specifically, how the environment influences public well-being. In this module, students will explore how environmental pollution impacts public health through comparing cancer rates of areas with known environmental pollutants to the national average through a t-test. Students can further their knowledge by comparing the concentrations of atmospheric pollutants in areas with known sources to control sites without such sources. Project EDDIE modules are designed with an A-B-C structure to make them flexible and adaptable to a range of student levels and course structures.
public health, Project EDDIE, pollution
524
555
2
0
04.2023

Green Infrastructure/Green Roofs (Project Eddie)

Elizabeth Farrell

Version: 1.0

Runoff in urban areas is an increasingly important issue when it comes to water quality. It is a major hydrologic issue in New York City, as urban infrastructure creates excess runoff and impervious surfaces decrease the infiltration rate of land surfaces. This excess runoff, which often times carries with it pollutants and contaminants, has proven to create water quality issues. It has become ever more critical to try to mitigate the influx of runoff into our waterways. Urbanization increases runoff, and in NYC 64% of the area is impervious. In this module students will explore green roofs as a potential solution to the environmental impacts of increased precipitation brought on by climate change. They will evaluate data collected from studies on 15 green roofs from different areas of the US and other countries, as well as historical precipitation data from Central Park in NY to illustrate how precipitation patterns are changing and if we need to use green infrastructure, such as green roofs, to combat the symptoms of climate change. Students will also use Model My Watershed , a watershed-modeling web app, to analyze real land use data, model storm-water runoff and water-quality i
climate change, Project EDDIE, Water cycle
878
176
2
0
04.2022

Prairie Eco Services (Project EDDIE)

Kelly Knight

Version: 1.0

As densely populated urban areas continue to expand, human activity is removing much-needed greenspaces from our communities; in turn, we are also removing critical buffers that are needed to combat air and water pollution, leaving cities vulnerable to a variety of health issues and potential infrastructure damage. In August of 2017, the Greater Houston area experienced a catastrophic flooding event, with Hurricane Harvey being designated as the wettest tropical cyclone ever recorded in US history. With many areas receiving 40" or more of rain, the rising flood waters had nowhere to go in a city covered in concrete, a barrier to natural infiltration. This caused over $125 billion in damage, with flood waters inundating hundreds of thousands of homes and displacing more than 30,000 people. In 2018, Katy High School responded by restoring an acre of public campus property to native Texas Gulf Coast prairie. The prairie will ultimately serve as an outdoor classroom for students, a greenspace for community outreach, and also as a natural retention area for future flooding events. Urban greenspaces, like the KHS Tiger Prairie, are mini-ecosystems that can potentially mitigate billions o
Project EDDIE, Water cycle
659
218
0
0
04.2022

Hypoxia in Coastal Marine Ecosystems (Project Eddie)

Annette Brickley, Kathy Browne, Gabi Smalley

Version: 1.0

Aquatic ecosystems are home to a complex intersection of physical and biological factors and an intersection of natural and anthropogenic factors. In the Chesapeake Bay, low oxygen events have occurred periodically and may be connected with harmful algal blooms, fish kills, heavy flooding/runoff events, and warming temperatures. Careful monitoring of the system by the Chesapeake Bay Program since 1984 allows scientists and policymakers to evaluate the causes of the events and monitor improvements in the health of the ecosystem.
Oceanography, Project EDDIE, Eutrophication
754
190
2
0
04.2022
This module guides students in an examination of how surface ocean productivity relates to global climate on glacial-interglacial timescales and how the availability of ocean nutrients can be correlated with changes in productivity.
957
291
3
0
04.2021
In this module, students will practice answering a specific question about how climate change has affected flowering date in American elm trees. Students can then practice on a species of their own interest.
1.1K
226
1
0
04.2021
This activity explores the question: which species will be most affected by temperature changes, and how will changes in the phenology of one species affect its interaction with others as the climate warms.
1.5K
290
3
0
04.2021

Plate Tectonics: GPS Data, Boundary Zones, and Earthquake Hazards (Project EDDIE)

Christopher Berg, Julie Elliott, Beth Pratt-Sitaula

Version: 1.0

Students work with high precision GPS data to explore how motion near a plate boundary is distributed over a larger region and hypothesize the area over which boundary-related earthquake hazards might exist. Primary emphasis is strike-slip regions.
758
211
0
0
04.2021
Students will explore different possible abiotic drivers of plant growth, defined as greenness and height. In the final step, students will analyze data from around the United States and consider macroscale patterns of vegetation controls.
881
245
2
0
04.2021

Sustainability Metrics (Project EDDIE)

Natalie Hunt

Version: 1.0

In this module, students will use an analytical framework with publicly available data to formulate questions, analyze data, and report metrics of sustainability.
928
224
4
0
04.2021

Wind and Ocean Ecosystems (Project EDDIE)

Alanna Lecher, April Watson

Version: 1.0

This module introduces students to the concepts of Ekman transport, eastern boundary currents, and upwelling, while learning how to find a location on a map using latitude and longitude, how to build and interpret a wind rose plot in Excel.
1.0K
1.1K
1
0
04.2021

Spectral Seismology Module (Project EDDIE)

D. S. Soule, M. Weirathmuller, G. Kroeger, R. D. Gougis

Version: 1.0

Based on a conceptual presentation of waveforms and filters
Project EDDIE
1.4K
331
1
0
11.2019

Water Quality Module (Project EDDIE)

C. A. Gibson, D. N. Castendyk

Version: 1.0

Students utilize real-time nitrate data from the US Geological Survey to statistically evaluate water quality impacts and to identify their causes
data, concentration, Project EDDIE, n, nitrogen cycle
1.4K
364
1
0
11.2019

Climate Change Module (Project EDDIE)

Catherine O'Reilly, D. C. Richardson, R. D. Gougis

Version: 1.0

Students explore how climate is changing from the recent record. Produced by Project EDDIE.
1.6K
401
9
0
11.2019

Lake Mixing Module (Project EDDIE)

Cayelan Carey, Jen Klug, R. L. Fuller

Version: 1.0

Students explore spatial and temporal patterns of lake mixing using high-frequency temperature data from lakes around the world.
stratification, Project EDDIE
1.2K
309
0
0
11.2019

Soil Respiration Module (Project EDDIE)

L. E. Nave, N Bader, Jen Klug

Version: 1.0

Soils hold more carbon (C) than any other component of the terrestrial biosphere!
Project EDDIE
1.2K
352
0
0
11.2019

Stream Discharge Module (Project EDDIE)

N E Bader, T. Meixner, C. A. Gibson, Catherine O'Reilly, D. N. Castendyk

Version: 1.0

Stream discharge is a fundamental measure of water supply in stream systems. Low discharge may cause problems with water supply and fish passage, while high discharge may mean flooding. In this module, students explore real-time stream discharge...
floods, Project EDDIE, urbanization, streams
1.3K
364
1
0
11.2019

Cross-Scale Interactions (Project EDDIE)

Cayelan Carey, Kaitlin Farrell

Version: 1.0

Students explore new modeling and computing tools while learning fundamental concepts about how lake phytoplankton blooms occur through cross-scale interactions.
modeling, Project EDDIE
1.2K
299
0
0
11.2019

Climate Change Effects on Lake Temperatures (Project EDDIE)

Cayelan Carey, S Aditya, K. Subratie, R. Figueiredo, Kaitlin Farrell

Version: 1.0

Students explore new modeling and computing tools while learning fundamental concepts about how climate change will affect lakes
climate change, Project EDDIE, lakes
1.2K
345
0
0
11.2019

Genome Solver

Genome Solver began in 2012 with the goal to create a community of undergraduate educators interested in the Human Microbiome Project (HMP) as a means to teach the fundamentals of bioinformatics.  Since then, Genome Solver instructors have provided training to more than 250 faculty members from approximately 125 institutions in a 1- or 2-day workshop. All Genome Solver curriculum materials are available on QUBES.

Lesson III - Annotation

Anne Rosenwald, Gaurav Arora, Vinayak Mathur

Version: 4.0

Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson III introduces Annotation, or assigning meaning to all the A's, C's, T's, and G's.
Bioinformatics Education, Bioinformatics and Genomics
872
422
0
0
09.2022

Lesson II - Databases

Anne Rosenwald, Gaurav Arora, Vinayak Mathur

Version: 3.0

Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson II introduces the principal databases for microbial genomics.
Bioinformatics Education, Bioinformatics and Genomics
1.0K
719
0
0
09.2022

Lesson VI - The Community Science Project

Anne Rosenwald, Gaurav Arora, Vinayak Mathur

Version: 2.0

Genome Solver's Community Science Project was developed as a way to use the skills taught in the previous lessons. We're asking members of the community to provide instances of potential phage genes embedded in bacterial genomes.
Bioinformatics Education, Bioinformatics and Genomics
750
681
0
0
09.2022
We have designed a Bioinformatics activity that uses tools to identify the origins and mutations in the novel SARS-CoV2 strains.
1.9K
177
0
0
06.2021

MiniWorkshop Follow-Up October 2, 2020

Gaurav Arora, Vinayak Mathur

Version: 1.0

A follow up to our mini workshop of August 14, 2020. Further information about the python pipeline for HGT and the new cytoscape lesson.
Bioinformatics Education
1.1K
1.4K
0
0
10.2020

Mini-Workshop August 14, 2020

Vinayak Mathur, Anne Rosenwald, Gaurav Arora

Version: 1.0

We reviewed the materials available on Genome Solver (other lessons here) and described our new python pipeline for examining horizontal gene transfer and a new synteny lesson in detail.
Bioinformatics Education
1.3K
2.0K
0
0
08.2020

Pre-lesson: Introduction to BLAST

Anne Rosenwald, Gaurav Arora, Vinayak Mathur

Version: 2.0

Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. This pre-lesson introduces the BLAST tool.
Bioinformatics Education, Bioinformatics and Genomics
1.3K
1.6K
1
0
08.2020

Lesson VII - Synteny

Gaurav Arora, Anne Rosenwald, Vinayak Mathur

Version: 3.0

The lesson teaches about synteny or the order of genes along a chromosome, which is useful for looking at orthologous genes between two species or strains.
Bioinformatics Education
1.3K
1.2K
0
0
08.2020

Genome Solver: Complete Set of Lessons

Anne Rosenwald, Gaurav Arora, Vinayak Mathur

Version: 2.0

The Genome Solver Project began as a way to teach faculty some basic skills in bioinformatics - no coding or scripting. These Lessons also work well in the undergraduate classroom, culminating with an authentic community research project.
bioinformatics, NIBLSE, Bioinformatics Education, Bioinformatics and Genomics, C4. Bioinformatics tools, C5. Data retrieval, C6. Models, C8. Data types, C9. Implications, Recommended by NIBLSE
2.4K
331
0
0
10.2019

Lesson III - Annotation

Gaurav Arora

Version: 1.0 Adapted From: Lesson III - Annotation v1.0

Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson III introduces Annotation, or assigning meaning to all the A's, C's, T's, and G's.
1.1K
227
0
0
10.2019

Lesson III - Annotation

Gaurav Arora

Version: 1.0 Adapted From: Lesson III - Annotation v1.0

Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson III introduces Annotation, or assigning meaning to all the A's, C's, T's, and G's.
1.1K
245
0
0
10.2019

Lesson V - Phylogenetics

Anne Rosenwald, Gaurav Arora, Vinayak Mathur

Version: 2.0

Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson V is an introduction to Phylogenetics.
Bioinformatics Education, Bioinformatics and Genomics
1.7K
2.3K
2
0
10.2019

Lesson IV - Comparative Genomics

Anne Rosenwald, Gaurav Arora, Vinayak Mathur

Version: 2.0

Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson IV, Comparative Genomics, discusses some of the tools available for looking at genes across different genomes.
Bioinformatics Education, Bioinformatics and Genomics
1.7K
1.2K
0
0
10.2019

Lesson I - Introduction to Genome Solver

Anne Rosenwald, Gaurav Arora, Vinayak Mathur

Version: 1.0

Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Part I is the Introduction to the Genome Solver Project.
Bioinformatics Education, Bioinformatics and Genomics
2.2K
1.9K
1
1
10.2018

HHMI BioInteractive

At BioInteractive, you can find award-winning multimedia resources, including apps, animations, videos, interactives, and virtual labs, to bring the excitement of scientific discovery into your classroom. Our rich video resources range from a series of short films on evolution, hosted by an award-winning author-scientist, to lectures on the brain given by a Nobel-prize winner—all supplemented by teacher guides and classroom activities.

This activity guides students through an online tutorial to examine the electrical and chemical communication of neurons.
introductory biology, neurobiology, anatomy and physiology, Cell communication
1.4K
1.2K
0
0
03.2021
A short film explores the evolutionary connection between an infectious disease, malaria, and a genetic condition, sickle cell anemia. The animation explores the genetic causes and biological effects of sickle cell disease.
HHMI BioInteractive
2.1K
1.7K
0
0
05.2020

Data Analysis and Cancer

Lynn Marie Diener

Version: 1.0 Adapted From: The p53 Gene and Cancer v1.0

This is a flipped classroom approach, students will learn the basic content about cell-signaling, p53, and transcription factors before class. During class students will focus on data analysis applying what they learned to their interpretation of the data
Resources @ HHMI - BioInteractive, Biochemistry, molecular biology, data interpretation, Biological Data Analysis, cell cycle, macromolecules, Genetic disease, Cell signaling
1.7K
4.0K
0
0
12.2019
In this activity students explore and analyze real, authentic research data paired with HHMI’s “Selection for Tuskless Elephants” video in a hands-on investigation of human impacts on elephant evolution using the R-Shiny App, Serenity.
1.7K
1.1K
0
0
07.2019

Amylase Copy Number and Diet

Rebecca Orr, Ruth Buskirk, Kristin Harvey

Version: 2.0.0

An adapted module from HHMI Spreadsheet Tutorials using amylase data for students to gain data analysis and excel skills
Scientific Process, Statistics and Math, Scientific Methodology
1.5K
1.7K
0
0
03.2019

Regulation of Sex Determination

Jessica Ashley Allen, Christie Landry, Laura Pickell, Deborah Taylor

Version: 1.0

This activity accompanies the HHMI BioInteractive module Sex Verification of Athletes (​https://www.hhmi.org/biointeractive/testing-athletes​). It provides students with exercises to explore the aspects of human anatomy and physiology.
1.6K
6.7K
0
0
01.2019

Regulation of Gene Expression and Adipogenesis by PPAR-γ

Gary Laverty, Thomas John Peters, Juan Sebastián Ramírez-Lugo, Denise Levin Signorelli, Saumya Ramanathan

Version: 1.0

Students learn about transcriptional regulation of PPAR-γ, an important controller of adipose tissue stores and energy metabolism through a drawing/coloring activity of the different components involved in controlling PPAR-γ activation.
gene expression, small group work, transcriptional regulation, adipose tissue, fat metabolism, repressor
1.8K
1.1K
1
0
01.2019

Understanding Trophic Interactions in Rice Agriculture: A Jigsaw Approach

Kiersten Nicole Newtoff, Fernando Nieto, Emily Nodine, Brian Robert Shmaefsky, Kristine Grayson

Version: 1.0

Students explore four different issues related to trophic interactions that affect modern rice agriculture practices and consider relationships between these issues.
jigsaw, food chain, trophic cascades, food web
1.4K
1.6K
1
0
01.2019

Redox Chemistry and Coral Bleaching

David Julian

Version: 1.0.0 Adapted From: Coral Bleaching Mapping Activity v1.0

Mapping coral bleaching using NOAA data to set the stage for reviewing redox chemistry concepts
ecology, Resources @ HHMI - BioInteractive, climate, Scientific Process, Statistics and Math, earth and environment, human impacts
2.1K
1.4K
0
0
07.2018
This activity explores a specific gene (egfr) and its role in cancer. EGFR was introduced with the Gene Card Activities, researched throughout the semester, and then authentic image data of EGFR-mutated cells were analyzed.
Resources @ HHMI - BioInteractive, genomics, cancer, genetic basis of disease, biology of cells
1.4K
1.5K
0
0
07.2018
I recombined the HHMI resources to have the students perform the image analysis from Virtual Lab 1 in Image J and explore the evolutionary principles in the Lizard Phenology modules
Evolution, organismal biology, tool:imagej, Speciation, Tree thinking, DNA, phylogeny and classification
2.1K
3.0K
0
0
01.2018
The two key features of my implementation is the fact that the tutorial was implemented in an online setting, and I added an assessment (also implemented in an online setting).
online, Scientific Process, Statistics and Math, Scientific Methodology
1.3K
1.7K
0
0
01.2018

HITS

The High-throughput Discovery Science & Inquiry-based Case Studies for Today's Students RCN works to create novel case studies that will demystify high-throughput approaches and promote discovery science to reinforce cornerstone STEM concepts and quantitative skills in the college classroom.

The morphology and localization of structures inside the cell are often assumed to fit the ideal images found in biology textbooks. This interrupted case study using high-throughput microscopy data from the Allen Institute addresses this...
2.1K
3.1K
0
0
03.2020

iDigBio

The Integrated Digitized Biocollections project's overall mission is to highlight the importance of biodiversity collections and digitization efforts.  iDigBio works with its partners in developing biodiversity and digitization-related educational resources for K-12, fostering public participation activities for life-long learners, and providing links to educational resources and activities.

Ancient Insects

Susan Butts, Talia Karim, Chris Norris

Version: 1.0

Create a gallery of fossil organisms and identify distinctive body parts (wings, suckers, modified appendages) from the collection. Analyze and interpret these features to predict what type of environment the insect inhabited (3-LS4-1 of NGSS).
Evolution, paleontology, natural history collections, #NGSS
1.6K
858
0
0
05.2019

Fantastic Birds and Where to Find Them

Molly Phillips, Kathryn Green

Version: 1.0

5E lesson plan for middle/high school aligned to NGSS standards.
conservation, species interactions, idigbio, natural history, Biodiversity, endangered species
1.7K
592
0
0
03.2019

InTeGrate

The Interdisciplinary Teaching about Earth for a Sustainable Future project is a community program, a collaboration between faculty in the sciences and other disciplines, educational specialists, and evaluation experts at a diverse group of institutions.

As part of my second mentoring of the InTeGrate FMN for QUBES, I chose to focus on my conversion of several resources to an online course format.
1.2K
377
0
0
08.2018
The Systems Thinking module (Units 1-3) was utilized in two separate introductory biology courses, General Biology II Lab and The Living Environment online course.
biology, systems thinking, lab activity
1.6K
406
0
0
05.2018

MathBench

MathBench modules introduce students (and anyone else who's interested) to the mathematical underpinnings of what they learn in introductory biology courses. But unlike a textbook, the modules are not full of equations and proofs. Instead, we try to bring math to life using intuitive approaches, everyday situations, and even humor. The modules contain hundreds of interactive activities, games, and questions. They range from the relatively simple (what to do with division) to the relatively abstruse (discrete diffusion models).

The MathBench module, "The Case of the Missing Mountaintop" introduces students to the concept of biodiversity and measures used to quantify biodiversity and stream health. Students investigate the impacts of mountaintop removal mining processes on stream
ecology lab, Community Ecology, environmental science, conservation ecology, Stream ecology
1.5K
780
0
0
12.2018
The resource accompanies the Mystery of the Missing Housefly Population Dynamics MathBench module which explores exponential and logistic growth models. Students explore the assumptions of the population growth models both in Excel and MathBench.
1.1K
617
0
0
12.2018

NEON

The mission of the National Ecological Observatory Network (NEON) is to enable understanding and forecasting of the impacts of climate change, land use change and invasive species on continental-scale ecology – by providing infrastructure and consistent methodologies to support research and education in these areas.  NEON is a continental-scale ecological observation facility, sponsored by the National Science Foundation and operated by Battelle, that gathers and synthesizes data then provides that data free of charge to the community to use to address pressing societal and ecological questions. Access NEON data on the website

This lesson focuses on understanding metadata, the data about the data, using aquatic macroinvertebrate abundance and species information from a variety of NEON sampling locations.
data management, Spreadsheet, metadata
2.6K
928
0
0
09.2019
Students use small mammal data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by estimating small mammal population sizes using the Lincoln-Peterson model.
data management, spreadsheets, small mammals community dynamics, NEON, Capture mark-recapture, National Ecological Observatory Network
9.4K
13.8K
2
0
06.2018

Large Datasets in R - Plant Phenology & Temperature Data from NEON

Megan A. Jones, Lee F. Stanish, Natalie Robinson, Katherine D. Jones, Cody Flagg

Version: 1.0

This module series covers how to import, manipulate, format and plot time series data stored in .csv format in R. Originally designed to teach researchers to use NEON plant phenology and air temperature data; has been used in undergraduate classrooms.
data in the classroom, tool:rstudio, phenology, data management, NEON, temperature
3.6K
917
1
0
05.2018
This lesson focuses on ways that scientists identify and use data to understand ecological disturbance events using data from five public datasets. The main lesson focused on interpretation of figures, while optional coding extensions teach R skills.
data in the classroom, data interpretation, precipitation, stream discharge, Palmer Drought Severity Index, lidar, Ecological Disturbance, disturbance ecology, High School
3.1K
1.3K
2
0
02.2018

NIBLSE

The goal of the Network for Integrating Bioinformatics into Life Sciences Education (NIBLSE) is to establish bioinformatics as an essential component of undergraduate life sciences education by creating a permanent network of investigators to articulate a shared vision of the extent to which, and how best to, integrate bioinformatics into life sciences curricula. 

An Introduction to the R Programming Environment

K. A. Garrett, P. D. Esker, A. H. Sparks

Version: 2.0

An online module introducing students and biologists to R, published in American Phytopathological Society
epidemiology, R, ecology, R programming language, bioinformatics, programming, plant biology, NIBLSE, plant pathology
3.1K
745
0
0
06.2021

Plasmodium Problem Space

Sam S Donovan

Version: 1.0

This problem space brings together diverse resources with the goal of helping biology teachers and learners engage in research investigations.
bioinformatics, problem spaces, NIBLSE, RNAseq, malaria, plasmodium
1.5K
400
0
0
01.2019

Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching

Mark Phillip Peterson, Jacob T Malloy, Vincent P Buonaccorsi, James H Marden

Version: 1.0

This lesson plan was created to teach RNAseq analysis as a part of GCAT-SEEK network. It is provided here, both in finished form and with the modifiable source code, to allow flexible adaptation to various classroom settings, published in...
statistics, R programming language, bioinformatics, NIBLSE, RNAseq, gene expression, CourseSource, computer programming
2.0K
521
0
0
01.2019
In this four- part guided activity, students will learn about the structure and function of human autosomal and sex chromosomes, view and interpret gene maps, and gain familiarity with basic bioinformatics resources and data through use of the...
bioinformatics, NIBLSE, CourseSource, autosome, homologous chromosomes, homologous recombination, sex chromosome, sex determination, sex reversal mutations
1.7K
445
0
0
01.2019

Passion-Driven Statistics

Passion-Driven Statistics is an NSF-funded, multidisciplinary, project-based curriculum that supports students in conducting data-driven research, asking original questions, and communicating methods and results using the language of statistics. The curriculum supports students to work with existing data covering psychology, health, earth science, government, business, education, ecology and more. From existing data, students are able to pose questions of personal interest and then use statistical software (e.g. SAS, R, Python, Stata, SPSS) to answer them. The e-book is presented in pdf format for ease of use across platforms. It can also be customized by downloading and editing the .iba file using the free “iBook Author” software.

Passion-Driven Statistics

Lisa Dierker

Version: 1.0

E-book in .pdf format and customizable .iba format
statistics, textbook
2.9K
967
0
0
06.2019

SESYNC

The National Socio-Environmental Synthesis Center (SESYNC) brings together the science of the natural world with the science of human behavior and decision-making to find solutions to complex environmental problems. We convene science teams to work on broad issues of national and international relevance, such as water resources management, land management, agriculture, species protection, among other areas of study. By supporting interdisciplinary science teams and researchers with diverse skills, data, and perspectives, SESYNC seeks to lead in-depth research and scholarship that will inform decisions and accelerate scientific discovery. SESYNC is funded by an award to the University of Maryland from the National Science Foundation.

The case study Managing Prairie Dogs for Ferret Reintroduction was modified to be used in an online environment.
1.5K
821
0
0
05.2018

SPARCnet

The SPARCnet educational vision seeks to enhance understanding and appreciation for hidden biological diversity, increase scientific process literacy, and promote quantitative skills through biological sciences. Toward these goals, we are producing open access educational materials ready for the classroom developed by scientists in the network. 

An Introduction to Red Backed Salamander Ecology

Tanya Matlaga, Fall 2015 Department of Biology Students

Version: 1.0

A summary of literature on red backed salamander ecology and life history compiled by Biology students at Susquehanna University
natural history, population ecology, salamander
2.1K
787
0
0
02.2018
This lab introduces students to species concepts and basic computer-based tree-building methods using published nuclear and mitochondrial sequence data for Plethodon salamanders.
phylogenetic analysis, Tree thinking, salamander, Audience level - Advanced UG
2.2K
1.8K
0
0
12.2017

How Many Salamanders are in the forest? Testing capture-recapture

Louise Mead, Kristine Grayson, Alexa Warwick, David Miller, Chris Sutherland, Evan Grant

Version: 1.0

Collecting data on how populations respond to environmental change requires accurate estimates of population sizes. This activity explores one method for estimating population sizes across three different localities.
salamander, Capture mark-recapture, Audience level - Introductory UG - majors, Audience level - Introductory UG - non-majors
2.1K
933
0
0
12.2017

Teaching R with Swirl

Working with Datasets in R swirl

Caitlin Hicks Pries

Version: 1.0

The goal of this lesson is to learn how to import datasets into R, understand variable types, make adjustments to variables, perform basic calculations, and begin data visualization. The exercise uses an over 100 year time series of climate data.
graphing, RStudio, climate change data, tidyverse, Working with datasets
1.8K
984
0
0
05.2019