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Finch Status Dataset

Explore in Radiant

Note: You must be a member of the BIRDD group to explore this data in Radiant.

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Drew LaMar onto Island and Habitat BIRDD Data

Data Science for Undergraduates: Opportunities and Options

Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent.

Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field.

Suggested citation: National Academies of Sciences, Engineering, and Medicine. 2018. Data Science for Undergraduates: Opportunities and Options. Washington, DC: The National Academies Press. https://doi.org/10.17226/25104.

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Alycia Crall onto Publications

Phylogeny.fr: Robust Phylogenetic Analysis For The Non-Specialist

Phylogeny.fr is a free, simple to use web service dedicated to reconstructing and analysing phylogenetic relationships between molecular sequences.

Phylogeny.fr runs and connects various bioinformatics programs to reconstruct a robust phylogenetic tree from a set of sequences.

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Drew LaMar onto Molecular BIRDD Data

Island Summary Dataset

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Note: You must be a member of the BIRDD group to explore this data in Radiant.

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Drew LaMar onto Island and Habitat BIRDD Data

R script for combining site-month NEON data files

This link takes you to the Code Resources page with the Super Easy R Stacker Script For Beginners, with only 3 lines of code -- and now, no need to mess with file paths -- is to help non- or early-R users combine the NEON site-month data that is downloaded from the NEON data portal. 

This R script allows you to combine multiple months & sites of NEON data downloaded as a .zip file from the NEON data portal (data.neonscience.org).  


This script is only for NEON data products that are delivered as zipped folders of .csv files (most OS and IS data products but not AOP data products). 

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Island and Habitat BIRDD Data

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Nicole Chodkowski onto Island and Habitat BIRDD Data

Molecular BIRDD Data

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Nicole Chodkowski onto Molecular BIRDD Data

Morphology Dataset

Over 6500 specimens that were measured by David Lack. These data were transcribed from records deposited at the California Academy of Sciences.

Explore in Radiant

Note: You must be a member of the BIRDD group to explore this data in Radiant.

Citation

  • Lack DL (1947) Darwin's finches: an essay on the general biological theory of evolution, Cambridge University Press.
  • Lack DL (1947) Data from: Darwin's finches: an essay on the general biological theory of evolution. Dryad Digital Repository. https://doi.org/10.5061/dryad.150

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Nicole Chodkowski onto Morphology BIRDD Data

BIRDD Morphology Data

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Profile picture of Nicole Chodkowski

Nicole Chodkowski onto Morphology BIRDD Data

Datamethods Discussion Forum

This is a place where statisticians, epidemiologists, informaticists, machine learning practitioners, and other research methodologists communicate with themselves and with clinical, translational, and health services researchers to discuss issues related to data...

Learn more...

Created by Frank Harrell

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Road Map for Choosing Between Statistical Modeling and Machine Learning

from the Statistical Thinking blog by Frank Harrell

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Drew LaMar onto Machine Learning

Comprehensive list of color palettes available in r

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Drew LaMar onto Data Visualization

A Wes Anderson color palette for R

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Drew LaMar onto Data Visualization

Colors in R

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Drew LaMar onto Data Visualization

R Colors

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Drew LaMar onto Data Visualization

Neuroscience Core Concepts

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Science in the Classroom

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Fundamentals of Neuroscience

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NSF INCLUDES: Report to the Nation

Report on outcomes of NSF INCLUDES program. NSF INCLUDES (Inclusion across the Nation of Communities of Learners of Underrepresented Discoverers in Engineering and Science) is a comprehensive national initiative designed to enhance U.S. leadership in science, technology, engineering and mathematics (STEM) discoveries and innovations by focusing on diversity, inclusion and broadening participation in these fields at scale. The vision of NSF INCLUDES is to catalyze the STEM enterprise to collaboratively work for inclusive change, which will result in a STEM workforce that reflects the diversity of the Nation. 

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Alycia Crall onto Publications

Keeping Data Science Broad Report

A report summarizing a series of webinars and workshops to garner community input into pathways for keeping data science education broadly inclusive by bridging the digital and data divide among higher education institution types.

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Alycia Crall onto Publications

Brain Science Podcast

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