Source code and documentation for a project designed as part of Medsci 736, a course on digital resource skills at the University of Auckland

jupyter notebook to create the figures of our EJP article on earthquake location with school seismograms.

First of three notebooks that form an intro to seismology with python in obspy

A jupyter notebook that uses obspy to build an inventory of seismic stations with FDSN.

jupyter notebook that reads waveforms, and event info to make P- and S-wave arrival time predictions based on a spherically symmetric earth. The code is taup, wrapped in obspy.

A jupyter notebook to rotate the North and East components of a data stream to Radial and Transverse. Then, it writes these to file

A jupyter notebook to retrieve seismic waveforms from events in a previously established catalogue, for stations in a previously established inventory

A jupyter notebook to accompany Chapter 2 of A Guided Tour of Mathematical Methods for the Physical Sciences.

A jupyter notebook to illustrate the mathematical concept of the Gradient of a scalar function, applied to topography data from the Auckland Volcanic Field.

A jupyter notebook to illustrate the curl of a vector field. Examples are rigid rotation, and a curl-free model of hurricane winds or the Biot Savart Law.

A jupyter notebook that models the fluid flow in 2D, as a model to introduce the divergence of a vector field.

A notebook to illustrate the application of the Theorem of Gauss to gravitational acceleration.

Supplemental Files referenced in doctoral thesis by Nicholas Knowlton

Data used in Peralta et al. 'Strength of niche processes for species interactions is lower for generalists and exotic species' J Animal Ecology 2020

Species lists and ordination data for Ogden & Perry, 'Ultimate and proximate factors influence altitudinal distributions of woody plants and ferns on Aotea-Great Barrier Island, New Zealand'

Data from the Aotea Bird Count from 2019, 2020 and 2021 as used in the reports compiled through the Aotea Great Barrier Island Environmental Trust,

Data and R source for the 2022 Aotea Bird Count (ABC) citizen science project. For more information and previous years' reports, see: https://www.gbiet.org/bird-count

Data and R source for the 2023 Aotea Bird Count (ABC) citizen science project. For more information and previous years' reports, see: https://www.gbiet.org/bird-count

Data and scripts to reproduce the 2021 Aotea Bird Count analyses.