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    NSF Final Outcomes Report: Using the Lived Experiences and Narratives of Black Heritage and African American Gullah/Geechee to Learn Science Concepts
    This resource is a public report that provides final outcomes from the NSF funded project award # 1928832. The resources included in this report are outcomes from the catalyst project titled:...
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    REMNet Tutorial, Excel Part 3: Organizing Your Microbiome Data 5.3.19
    Video on organizing microbiome using Excel from the Research Experiences in Microbiomes Network
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    BCEENET: Connecting digitized natural history collections with course-based undergraduate research experiences
    Biological Collections in Ecology and Evolution Network (BCEENET) brings together undergraduate educators, natural history collections professionals, researchers, and data experts to support the...
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    Remote sensing data processing – NEON airborne data
    Concepts of remote sensing and data logistics, and NEON remote sensing data are introduced. Students learn how to apply spatial data processing and visualization skills using R coding program to...
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    REMNet Tutorial, Excel Part 4: Focusing on Taxonomy 4.26.19
    Video on analyzing microbiome data in Excel from the Research Experiences in Microbiomes Network
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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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    Measuring Size and Area of Digitized Specimens using ImageJ
    Use ImageJ to analyze morphological characters in digital images of natural history specimens. Skills are transferable to many organisms and other morphological measurements.
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    Geography and Embodied Perceptions: a pathway to reanimating rivers through lived experiences.
    In this lesson students embark upon a journey through the many ways we come to know a watershed, with foci on its physical geography and our embodied perceptions. This enables students to formulate...
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    Distributions CURE- Exploring Species Distribution Changes and their Drivers
    This course-based undergraduate research experience (CURE) uses digitized natural history collections data to answer questions about species distributions and their drivers. This inclusive CURE can...
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    Evaluating Local Adaptation and Conservation with Life Tables
    This module contains a sequence of activities designed for an undergraduate ecology lesson on stage-structured population models or life tables that use published data. Two versions are provided:...
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    Genome Sequence Data in R using Biostrings (Swirl Lesson)
    By the end of this lesson, students should be able to load FASTA files into R as DNAStringSets and use width() and alphabetFrequency(), combined with other functions like sum() and mean(), to...
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    Communicating with Data: Infographic with Digital Data
    Working collaboratively in teams of 2-4 researchers, students engage in targeted projects to address critical information and research needs using digital biodiversity data.
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    Nicholas' Story
    This 3 part case on sickle cell disease focuses on visualizing and understanding the molecular basis of its cause, symptoms, complications, management, treatment, and possible cures.
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    Nicholas' Story
    This 3 part case on sickle cell disease focuses on visualizing and understanding the molecular basis of its cause, symptoms, complications, management, treatment, and possible cures.
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    Using Aquatic Macroinvertebrates in Stream Bioassessment
    Bioassessment is an evaluation of the biological condition of a waterbody using biological surveys and other direct measurements of resident living organisms. Aquatic macroinvertebrates are...
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    Value of Mistakes. Making Mistakes Using R
    This module allows students to frame mistakes and frustrations during their first introduction to R in terms of improved learning and growth mindset.
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    Mapping Specimen Occurrence Data in QGIS
    Use digitized natural history collection occurrence data from the Global Biodiversity Information Facility (GBIF) to map the distribution of the beaver in the state of Oregon from 1800-2020 using QGIS
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    REMNet: Introduction To Instructors 5.3.19
    Video on incorporating microbiome sequencing into biology education from the Research Experiences in Microbiomes Network
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    Build Multiomic and Visualization Skills in Bioscience Lecture
    This resource promotes inclusive learning by using all free platforms to extend the central dogma to an applied experience. Genomics is focused on with literature reviews that are performed to...
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    Spatial Analysis with QGIS
    Map specimen data points using QGIS, connect them to form a polygon using the Concave Hull plugin, and calculate the range of a species to examine how it changes over time.
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