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    BIOME 2021 Scientist Spotlight/Data Nugget Working Group Video Recap
    This two-minute overview video describes the work of the 2021 fall working group for Scientist Spotlight/Data Nugget course resources. Group members began developing new projects for a variety of...
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    Earth Analytics in Python Course
    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...
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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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    Get Started With GIS in Open Source Python Workshop
    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...
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    Writing Clean Code in R Workshop
    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.
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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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    Earth Analytics in R Course
    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...
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    Earth Analytics Bootcamp Course
    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...
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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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    REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19
    Video on normalizing microbiome data from the Research Experiences in Microbiomes Network
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    Identifiers in Digital Natural History Collections
    This is a collection of resources focusing on GUIDs (Globally Unique Identifiers) on what they are, what role they play in digital natural history collections, and how to incorporate them in...
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    Conducting Biodiversity Science in the 21st Century (Poster)
    A poster summarizing how museum resources can be used for conducting biodiversity science in the 21st century including in research, education and in increasing inclusivity and diversity in STEM.
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    Species Range Over Space and Time
    In this module, students use data from natural history collections to look at range shifts related to climate variables over different time periods.
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    Creating a Deeper Understanding of Big Geospatial Data, Volunteered Geographic Information (VGI), and Community Science using Project Eddie Modules
    This module uses the Project Eddie Module Assessing the Risk of Invasive Species Using Community Science Data developed by Heard, M. J. (2023) to create a deeper understanding of big geospatial...
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    Data Cards Sample Created From Lost Crops of Africa (NRC, 1996, 2006, 2008)
    This resource provides a sample of the data cards that have been used in conference presentations, trainings, and science methods courses over the years. This resource provides supplemental data...
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    Exploring the population dynamics of wintering bald eagles through long-term data using R
    The purpose of this modification was to take the analyses that were done in Excel and have the students perform them using R. Students were not given any R code for this activity, as R code was...
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    Evaluation of DEIJ in Lectures of Junior Year Science Undergraduate Course
    Diversity, equity, inclusion, and social justice, DEIJ, is important for both students and faculty as they improve learning outcomes and elicit professional competency respectively. DEIJ...
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    Riverbird distributions and habitat use
    Riverbirds are widespread, use diverse riparian habitats, and respond rapidly to changing conditions. Students can apply riverbird data to evaluate hypotheses about these responses, while gaining...
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    US Forest Service land management efforts with Kurt Sable
    Kurt Sable has been a Hydrologist for the US Forest Service for 17 years, working for three different National Forests in Northern California. He supplies insight on the watershed restoration...
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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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