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    QB@CC- Quantitative Biology at Community Colleges (RCN-UBE Introduction)
    Quantitative Biology at Community Colleges (QB@CC) is a National Science Foundation (NSF) supported project that received funding in 2019. The long-term goal of QB@CC is to drive the disciplinary...
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    BCEENET- Broadening undergraduate participation in ecology and evolution research through CUREs using digitized natural history collections data (RCN-UBE Introduction)
    Biological Collections in Ecology and Evolution Network (BCEENET) brings together natural history collections (NHC) professionals, undergraduate educators, data experts, and researchers to support...
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    SCORE-UBE Final Evaluation Report
    Final evaluation report for the NSF funded RCN-SCORE Network which aimed to support members tackle shared issues in sustaining OER and OEP. The growth of the network continued to grow through...

    Keywords: STEM Evaluation

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    Evaluation of NSF RCN-UBE SCORE Summit
    Data summary for evaluation findings of the NSF RCN-UBE: Sustainability Challenges for Open Resources to promote an Equitable Undergraduate Biology Education (SCORE) summit held at Bates College,...
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    NSF RCN-UBE SCORE Pre-Data Summary Report
    Evaluation findings of the SCORE Pre-Summit Survey with participant demographics.
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    QB@CC Workshop NABT 2022
    Creating and Implementing Quantitative Biology Lessons with QB@CC, Beneficial for Both Faculty and Students
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    Yeast Scramble Lab Manual v3
    This laboratory manual includes protocols for SCRaMbling of yeast cells as well as phenotypic characterization. Appropriate student exercises are also included. This resource was developed as part...
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    Perspectives and practices in sharing data-centric adaptations in the biology classroom: How, why, when, and where are instructors sharing these high-impact pedagogies?
    Poster presented at the 2019 meeting of the National Association of Biology Teachers on barriers to fully utilizing the complete Open Education Resources lifecycle
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    REMNet: A Student’s Introduction to Urban Microbiomes 5.3.19
    Video on urban microbiomes from the Research Experiences in Microbiomes Network
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    Hewlett Foundation - Bates Final Evaluation Report 2021
    Evaluation findings of Hewlett Foundation award to Bates College
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    Teaching Modules from QB@CC: Tools to Improve Biology Student’s Quantitative Skills
    NABT and QB@CC hosted a special webinar to explore the QB@CC OER entitled Sizes, Scales, and Specialization.
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    Are you learning R? Suggestions to help you as you learn.
    Learning how to code and analyze data in R is an important skill. Olivia Tabares and the Ecological Forecasting Education Working Group created this resource to encourage individuals who are...

    Keywords: R code

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    BIOME 2021 QSSI Lightning talk
    Our team, Quantitative Skills and Science Identity (QSSI), met in the fall of 2021 to discuss and develop a methodology to assess the effectiveness of Data Nugget/Scientist Spotlight activities. We...
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    Module M.7 Generalized linear mixed-effects models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Introduction to Version Control and Git Workshop
    Learn how to use version control with Git to work collaboratively and back up your work.
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    S-JEDI Learning Group Resource
    This resource provides a curriculum for a 6 week learning group centered on examining social justice, equity, diversity, and inclusion, specifically geared to organizational leaders in open...
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    Ecological Forecasting Repository of Online Educational Resources
    This pdf provides a list of over 100 educational resources related to tools and skills related to ecological forecasting.
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    Closing the Gap in the Open Educational Resources (OER) Life Cycle for Using Research Data in the Ecology Classroom
    Poster presented at the 2018 meeting of the Ecological Society of America on gaps in the curriculum cycle for open educational resources (OER) and our work supporting sharing and adaptation of...
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    Introduction to Earth Data Science Textbook
    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...
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    Module M.5 Linear mixed-effects models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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