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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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    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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    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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    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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    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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    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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    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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    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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    Digging up history with a ‘real-life Indiana Jones’ Dr. Sarah Barber
    In this exciting talk, Dr. Sarah "Stacy" Barber discusses her exciting research covering: 1. Documentation of geological, hydrodynamic, and ecological change in the Indian River Lagoon, and 2....
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    The importance of citizen science in researching snow with Dr. David Hill
    David Hill is a professor at Oregon State University and a National Geographic Explorer. He discusses with us why citizen science is important and how he incorporates it into his own research.

    Keywords: citizen science

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    Putting specimens on the map: An introduction to georeferencing
    Use GEOLocate to assign geographic coordinates to natural history collections specimens
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    Scientists Offering Solutions through Sprints
    Our BIOME Fall Working Group, Scientists Offering Solutions through Sprints, explains the process of putting together a Science sprint in your community. A science sprint is a one-day event in...
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    Bates College DCS 105 Calling Bull: Data Literacy and Information Science Course Slides
    Slides that accompany the Course DCS 105 Calling Bull: Data Literacy and Information Science from Bates College
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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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    Exploring the bottom of the ocean and TITANIC wreckage with David Gallo
    In honor of @WorldOceansDay , we had the privilege of talking with legendary oceanographer David Gallo for our latest Lunch With A Scientist episode. He shares astonishing footage of deep-sea...
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    Statistics with epidemiology of COVID-19
    Introduction into heat maps, non-parametric t-test and GIF (optional) in R using an original dataset on COVID-19 infections from different counties of New Jersey, USA. Suitable for students who...
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    Before You Start Publishing on QUBES
    This handy guide follows the Instructions for Authors to keep together all the text that can then be copied during the publication process. Notes and comments in this document are italicized so...
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    Data-Driven Decision-Making: Antarctic Fisheries
    This is an entire module for a general education data science and ecology course. The module was originally designed as the fourth and final section of the course; the full course is openly...
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