data test

MozFest 2014 and New Zealand Open Science Skills and Curriculum Workshop

A place to draft grant proposals in the open

Source code for Perry, Etherington & Moloney in Journal of Applied Ecology (DoI: 10.1111/1365-2664.12827)

Copy of the NetLogo movement and reproduction model used to generate the cost-surfaces and biological data (all three types) analysed in this study.

Python script used to analyze laser-ultrasound data.  We analyze the proportionality between the amplitude of laser-ultrasound waves recorded with GCLAD and the source laser energy.

obspy notebooks for seismology

This is the NetLogo 6.0.1 source code with accompanying description for the simulation model in Bowman & Perry Plant and Soil.

The Netlogo movement model used within the our study, along with the supporting files and folder required to run the model.

A jupyter notebook to investigate the path and time of flight of a bouncing ball.

A notebook to accompany chapter 4 of our book on the transformation between coordinate systems. The application is to Gaussian functions, and their integral

A notebook applying Stokes Theorem to the Biot-Savart Law to find the magnetic field in the presence of a current in a long straight wire.

A notebook to illustrate the Laplacian, and the Laplace equation with an example of the shape of a soap film.

Processed data and R code sufficient to reproduce the analysis in "The transcriptomic response to a short day to long day shift in the reference legume Medicago truncatula" by Thomson et al. (2019). Combines two similar experiments where plants were grown in short-day photoperiods and shifted to long-day photoperiods after 10 days. Triplicate RNA-seq...

A custom R package called GThomsonThesis which is used for the analysis of the data presented

Zip code with files required to run the hunter-gatherer model used in Perry & O'Sullivan in Journal of Archaeological Method & Theory (in review). Unzip all files to the same directory and open the .nlogo file. Source requires NetLogo version 5.3.1

This publication includes two sets of R code. The first code, named ‘1_set_up_n_create_time_activity_diagram_individual_n_aggregate.R’, has two parts. Part one sets up parameters and loads and processes the data. The original data should be in a format so that the end time of the previous activity episode is equals to the start time of the following...