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    Using Digitized Collections-Based Data in Research: A Hands-On Crash Course in Ecological Niche Modeling
    Step-by-step, hands-on instruction on ways to access and download these specimen data, how to process climate layer data, and how to apply Maxent software to construct ecological niche models.
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    Cleaning Biodiversity Data: Excel
    Access and clean an open source polar bear dataset using Excel.
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    Exploring how climate will impact plant-insect distributions and interactions using open data and informatics
    This teaching module provides an entry point for students to learn about data science, open data repositories (e.g., citizen science data), and species distribution modeling to study the effects of...
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    Sin Nombre Hantavirus in the US
    A module guiding students through the review of different biodiversity data sources to identify patterns in the distribution of the Sin Nombre Hantavirus in the United States. English, Spanish, and...
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    Exploring Connections between Low Albedo, Urban Heat Islands and Social Justice
    This exercise explores circumstances of urban heat islands in the United States using spatial data, including an exploration of heat island solutions.
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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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    Cleaning Biodiversity Data: A Botanical Example Using Excel or RStudio
    Access and clean an open source herbarium dataset using Excel or RStudio.
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    Learn Biological Sciences and Environmental Science through biodiversity and pollution
    Biodiversity or biological diversity is the variety of and variability of biological life on Earth. Biodiversity is existing due to variation among living organisms from different sources air,...
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    Painting turtles: an introduction to species distribution modeling in R
    This module uses R software to introduce students to the process of accessing databases and building species distribution models based on occurrence records.
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    Dendroclimatology
    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...
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    Exploring EnvironmenATL Justice with Data Analytics and Visualization
    Basic data handling and data analysis skills are introduced to visualize and analyze ‘big data.’ Environmental justice is introduced to give students an understanding of tools and strategies to...
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    Ethics in ecological forecasting: four case-based teaching modules
    Working with ecological data often involves ethical considerations, particularly when data are applied to address societal needs. However, data science ethics are rarely included as part of...
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    Interpreting the Pseudocot Phylogeny
    Students use physical characteristics, genetics, and a fossil record of hypothetical flowering plants to develop fundamental phylogenetic tree-building skills.
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    Teaching Data Viz and Communication as an Undergraduate Biology Course: Assignments and Projects
    Teaching materials co-developed for a new upper-level undergraduate biology course to teach data exploration and communication without requiring previous coding experience.
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    Data is the New Science - Modified and combined with Following the Data Module
    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...
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    Atlas of Black Scholarship for Inclusive and Racially Diverse STEM Curricula – Volume I
    The contributions of Black scientists to the advancement of STEM are poorly represented in course materials. Here, we provide an Atlas of Black Scholarship to help Life Sciences and Chemistry...
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    Teaching Data Viz and Communication as an Undergraduate Biology Course: Syllabus and Resources
    Teaching materials co-developed for a new upper-level undergraduate biology course to teach data exploration and communication without requiring previous coding experience.
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    Data Ethics
    Data ethics and the use of digital data
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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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    Data Visualization
    This is an introduction to the idea of data visualization and the importance of presenting data for understanding.
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