Includes the requirements and practical steps required to make your own automated call recogniser using a convolution neural network.

The "Requirements" section includes demo data and requirements for the data you should include to develop your own recogniser as well as links to Anaconda &...

An introduction to slicing, dicing, chopping, resampling, compressing etc sound files with an introduction to command line and graphical tools.

A "Requirements" section with demo data, file dependencies, and required software.

A "Presentation" section with an online introduction to storing...

Provides an introduction to and generation of false-colour spectrograms and indices.

Includes a "Requirements" section where demo audio files, other dependencies and required software.

Includes a "Presentation" section providing an online presentation on false colour...

This module includes recommendations for deployment, recording and labelling sounds, playing those sounds and annotation using Audacity and Raven software.

The "Requirements" section includes downloads of example data, required dependencies and software.

The "Presentation" walks through an...

This online presentation provides a review of five key concepts related to ecoacoustics: 1. Decibels, 2. clipping and gain, 3. ADC: Sample rate & bit depth, 4. Fast Fourier Transform (FFT), and 5. Spectrograms: time / frequency trade off.

This example highlights how data collected with passive acoustic monitoring (PAM) can be used to examine spatial variation in species composition.

This example draws from an R package developed to make GDM more accessible: https://github.com/EcoCommons-Australia/community-modelling

This site is designed as a companion to Griffith Library’s Research Data Capture workshops. It can also be treated as a standalone, self-paced tutorial for learning to use REDCap (Research Electronic Data Capture) a secure web application for building and managing online surveys and databases.

This workshop is for researchers at all career stages who want to understand the uses and the building blocks of computational thinking. This skill is useful for all kinds of problem solving, whether in real life or in computing.

The workshop will not teach computer programming per se. Instead...

This online self-paced workshop teaches advanced data wrangling skills including combining datasets, geolocating data, and “what if” exploration using OpenRefine.

Learn basic data cleaning techniques in this self-paced online workshop using open data from data.qld.gov.au and open source tool OpenRefine openrefine.org. Learn techniques to prepare messy tabular data for comupational analysis. Of most relevance to HASS disciplines, working with textual data...

The idea that you can duplicate an experiment and get the same conclusion is the basis for all scientific discoveries. Reproducible research is data analysis that starts with the raw data and offers a transparent workflow to arrive at the same results and conclusions. However not all studies are...

Nowadays, more information created than our audience could possibly analyse on their own! A study by Stanford professor Chip Heath found that during the recall of speeches, 63% of people remember stories and how they made them feel, but only 5% remember a single statistic. So, you should convert...