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Diversity of ageing across the tree of life

I stumbled across this paper when looking for survivorship information on different species and it has be a great teaching resource. Mostly I use the subplots of Figure 1 (partially reproduced here) which has a whole bunch of graphs of relative mortality and fertility as a function of age for a wide range of taxa. 

Full Citation: Jones, O. R., Scheuerlein, A., Salguero-Gómez, R., Camarda, C. G., Schaible, R., Casper, B. B., ... & Vaupel, J. W. (2014). Diversity of ageing across the tree of life. Nature, 505(7482), 169-173.

When you go to the Nature site for this paper be sure to check out the "related audio" which has a nice discussion with the authors about the paper. 

Alternative Link: http://izt.ciens.ucv.ve/ecologia/Archivos/ECO_POB%202014/ECOPO2_2014/Jones%20et%20al%202014.pdf

 

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Cheatsheets are quickstart guides to using some of the most popular packages and features of Rstudio. This link will direct you to the following cheatsheets: Shiny cheatsheet Data visualization cheatsheet Package development cheatsheet Data wrangling cheatsheet R markdown cheatsheet R markdown reference guide

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Arietta Fleming-Davies onto Shiny

A nice introduction to building apps with R Shiny. Written by the folks at NEON (National Ecological Observatory Network).

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Arietta Fleming-Davies onto Shiny

"Essay to students about the fallacy of fixed math ability"

test of tracking a comment.

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Sam S Donovan onto sam test

A Survivorship Recitation Activity

This is an activity that is based on the data available from the "Survivorship in the Natural World" module. Joshua Adelman, who was a post-doc in the Department of Biological Sciences at the University of Pittsburgh at the time, was the lead developer of this activity. 

 

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Example of using the ODD protocol to describe land-use change models

Polhill, J. Gary, Parker, Dawn, Brown, Daniel and Grimm, Volker (2008). 'Using the ODD Protocol for Describing Three Agent-Based Social Simulation Models of Land-Use Change'. Journal of Artificial Societies and Social Simulation 11(2)3 <http://jasss.soc.surrey.ac.uk/11/2/3.html>.

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The original ODD protocol paper

Grimm V, Berger U, Bastiansen F, Eliassen S, Ginot V, Giske J, Goss-Custard J, Grand T, Heinz S, Huse G, Huth A, Jepsen JU, Jørgensen C, Mooij WM, Müller B, Pe’er G, Piou C, Railsback SF, Robbins AM, Robbins MM, Rossmanith E, Rüger N, Strand E, Souissi S, Stillman RA, Vabø R, Visser U, DeAngelis DL. 2006. A standard protocol for describing individual-based and agent-based modelsEcological Modelling 198:115-126.

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The ODD protocol: A review and first update

This is a collection of links to the paper, a pre-publication version (in case you can't get past the pay wall), the electronic supplements, and a bonus item. 

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Instructions for Using Radiant for Data Visualization

As part of the extinction module, students can use the R Shiny app Radiant to explore and visualize the data.  Radiant also has a unique and useful feature for instructors: the ability to automatically generate a report of student workflow.  This allows faculty to follow students' exploration of the data and decision-making processes.  The attached handout (Copy of Student Handout 5) contains the updated instructions for running Radiant on the QUBESHub website and generating a workflow report.

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Making beautiful plots

Trying to customize plots in R?  This page from the Quick R site provides a great deal of information on customizing plot options, in a much more visual (and less terrifying) format than "?par"

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Get R (and RStudio)

Just getting started as an R user?  You can first try running R on QUBES Hub here, without installing anything.  Eventually, though you will want to install it on your own computer by downloading it here.  RStudio provides a friendlier interface for using R, and can be downloaded here.  Rstudio requires R to be installed, so start by downloading R.

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Try R Code School

A free online tutorial for learning basic R commands.  It runs through your browser and does not require you to install R.

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Quick R

This is a great source for basic R functionality like importing and manipulating data.  It also has very helpful information on making graphs (see this page).  

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Print these out!

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Drew LaMar onto General QuantBio

"The capacity for growth is a measure of the success of a population of a species. Because there are so many interactions between individuals and the environment, measuring how well populations grow is often complex. Population biologists frequently use mathematical growth models to help them study real populations. Population models might seem like all theory and math, but they help us understand real ecological systems in simpler terms. They are used for testing theories, making...

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Wendy Jo Levenson onto InterLACE

Link to data sets used in The Analysis of Biological Data .  All data are in CSV format.

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Wendy Jo Levenson onto Data Nuggets

Teacher version       Student version This module is appropriate for introductory statistics classes. Supporting files:  Module figures for teacher presentation  Data Sets  Fairbanks.dat.txt  getDIMACSdata.sh.txt  McGuireAFB.dat.txt  NewOrleans.dat.txt Raleigh.dat.txt  Authors: Tamra Carpenter, Robert Vanderbei, Jon Kettenring  Module Summary: In this module the students will learn some basic...

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Wendy Jo Levenson onto Data Nuggets

A collection of data sets on various topics, some population-related, such as “Ecology,” “Agriculture,” and “Tree-rings.” The data sets can be viewed and compared to one another. There are no lessons related to the data, but several of the data sets overlap region and time for comparisons of population growth. 

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Wendy Jo Levenson onto Data Nuggets

Describes the logistic population growth model and applies it to the scenario of population growth and overabundance in white-tailed deer. Activity also contains links to more advanced activities such how to model the harvesting rate of a population with logistic growth.

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Amy Hurford onto Teaching Resources

"The capacity for growth is a measure of the success of a population of a species. Because there are so many interactions between individuals and the environment, measuring how well populations grow is often complex. Population biologists frequently use mathematical growth models to help them study real populations. Population models might seem like all theory and math, but they help us understand real ecological systems in simpler terms. They are used for testing theories, making...

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Amy Hurford onto Teaching Resources

This course will be an overview of the mathematical tools used in quantitative analysis and modeling of biological systems. The goal is to develop quantitative reasoning skills through the use of mathematical modeling, data analysis, and computer simulation. This is a unique course in the biology curriculum at William and Mary by covering both organismal and cellular biology through the use of mathematical, statistical and computational approaches, and by focusing on the development of skills in model development, validation and refinement.

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Amy Hurford onto Teaching Resources

Ecology and conservation biology contain numerous examples of populations growing without bounds or shrinking towards extinction. For these populations, the change in the number of individuals generally follows an exponential curve. On the other hand, limited resources may keep population numbers in check and help maintain the population at the environment&#39;s carrying capacity. These density-dependent constraints on population growth can be described by the logistic growth equation. The…

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Amy Hurford onto Teaching Resources