Open Ecoacoustics make your own recogniser
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 &...
Keywords: Ecoacoustics, call recogniser, convolutional neural network
Open Ecoacoustics make your own recogniser
https://openecoacoustics.org/resources/lessons/make-your-own-recognizer/
https://dresa.org.au/materials/open-ecoacoustics-make-your-own-recogniser
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 & Raven Lite software.
The "Practical Steps" provides instructions to run the required Jupyter notebook to build a recogniser with CNN.
* Note additional AI methods will be available soon
https://openecoacoustics.org/contact/
Dr Philip Eichinski
Dr Lance De Vine
Ecoacoustics, call recogniser, convolutional neural network
Open Ecoacoustics wrangling sound files
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...
Keywords: Ecoacoustics, sound files, data wrangling
Open Ecoacoustics wrangling sound files
https://openecoacoustics.org/resources/lessons/wrangling-sound-files/
https://dresa.org.au/materials/open-ecoacoustics-wrangling-sound-files
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 data, repairing data and segmenting files.
A "Practical" section inclusive of setup, Terminal use, manipulating files with FFmpeg, using the AnalysisPrograms audio cutter, run EMU software
https://openecoacoustics.org/contact/
Dr Anthony Truskinger
Ecoacoustics, sound files, data wrangling
Open Ecoacoustics acoustic indices
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...
Keywords: Ecoacoustics, false-colour spectrograms, acoustic indices
Open Ecoacoustics acoustic indices
https://openecoacoustics.org/resources/lessons/acoustics-indices/
https://dresa.org.au/materials/open-ecoacoustics-acoustic-indices
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 spectrograms.
Includes a "Practical" section that provides the setup, use of terminal, Analysis Programs software, and calculation of acoustic indices.
https://openecoacoustics.org/contact/
Marina D. A. Scarpelli
Ecoacoustics, false-colour spectrograms, acoustic indices
Open Ecoacoustics recording and labelling
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...
Keywords: Ecoacoustics, recording sound, labelling sound, spectrograms
Open Ecoacoustics recording and labelling
https://openecoacoustics.org/resources/lessons/labelling/
https://dresa.org.au/materials/open-ecoacoustics-recording-and-labelling
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 online presentation with recommendations recorder deployment recommendations, annotation, raven software, & manual validation
The "Practical" includes setup, single species annotation of spectrograms, multi-species, and generating images
https://openecoacoustics.org/contact/
Callan Alexander
Ecoacoustics, recording sound, labelling sound, spectrograms
Open Ecoacoustics sound basics
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.
Keywords: Ecoacoustics, sound basics, decibels, gain, sample rate, FFT, spectrograms
Open Ecoacoustics sound basics
https://openecoacoustics.org/resources/lessons/sound-basics/presentation/
https://dresa.org.au/materials/open-ecoacoustics-sound-basics
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.
https://openecoacoustics.org/contact/
Dr Michael Towsey
Ecoacoustics, sound basics, decibels, gain, sample rate, FFT, spectrograms
Ecoacoustics & EcoCommons Generalised Dissimilarity Modelling (GDM) use case
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
Keywords: Generalised Dissimilarity Modelling, Ecoacoustics, EcoCommons
Ecoacoustics & EcoCommons Generalised Dissimilarity Modelling (GDM) use case
https://openecoacoustics.org/resources/use-cases/gdm/
https://dresa.org.au/materials/ecoacoustics-ecocommons-generalised-dissimilarity-modelling-gdm-use-case
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
https://openecoacoustics.org/contact/
Generalised Dissimilarity Modelling, Ecoacoustics, EcoCommons
Managing Active Research Data
In this train-the-trainer workshop, we will be exploring and discussing methods for active data management.
Participants will become familiar with cloud storage and associated tools and services for managing active research data. Learn how to organise, maintain, store and analyse active data,...
Keywords: RDM Training, CloudStor, cloud
Resource type: lesson
Managing Active Research Data
https://doi.org/10.5281/zenodo.7259746
https://dresa.org.au/materials/managing-active-research-data
In this train-the-trainer workshop, we will be exploring and discussing methods for active data management.
Participants will become familiar with cloud storage and associated tools and services for managing active research data. Learn how to organise, maintain, store and analyse active data, and understand safe and secure ways of sharing and storing data.
Topics such as cloud storage, collaborative editing, versioning and data sharing will be discussed and demonstrated.
Sara King
Sara King
Brian Ballsun-Stanton
RDM Training, CloudStor, cloud
phd
support
masters
ecr
researcher
Introduction to Jupyter Notebooks
This workshop will introduce you to Jupyter Notebooks, a digital tool that has exploded in popularity in recent years for those working with data.
You will learn what they are, what they do and why you might like to use them. It is an introductory set of lessons for those who are brand new,...
Keywords: jupyter, Introductory, training material, CloudStor, markdown, Python, R
Resource type: tutorial
Introduction to Jupyter Notebooks
https://zenodo.org/record/6859121
https://dresa.org.au/materials/introduction-to-jupyter-notebooks
This workshop will introduce you to Jupyter Notebooks, a digital tool that has exploded in popularity in recent years for those working with data.
You will learn what they are, what they do and why you might like to use them. It is an introductory set of lessons for those who are brand new, have little or no knowledge of coding and computational methods in research.
This workshop is targeted at those who are absolute beginners or ‘tech-curious’. It includes a hands-on component, using basic programming commands, but requires no previous knowledge of programming.
sara.king@aarnet.edu.au
Sara King
Mason, Ingrid
jupyter, Introductory, training material, CloudStor, markdown, Python, R
Network Know-how and Data Handling Workshop
This workshop is a ‘train-the-trainer’ session that covers topics such as jargon busting, network literacy and data movement solutions. The workshop will also provide a peek at some collaborative research tools such as Jupyter Notebooks and CloudStor. You will learn about networks, integrated...
Keywords: Networks, data handling
Resource type: lesson, presentation
Network Know-how and Data Handling Workshop
https://zenodo.org/record/6403757#.Yk-Gl8gza70
https://dresa.org.au/materials/network-know-how-and-data-handling-workshop
This workshop is a ‘train-the-trainer’ session that covers topics such as jargon busting, network literacy and data movement solutions. The workshop will also provide a peek at some collaborative research tools such as Jupyter Notebooks and CloudStor. You will learn about networks, integrated tools, data and storage and where all these things fit in the researcher’s toolkit.
This workshop is targeted at staff who would like to be more confident in giving advice to researchers about the options available to them. It is especially tailored for those with little to no technical knowledge and includes a hands-on component, using basic programming commands, but requires no previous knowledge of programming.
Sara King - sara.king@aarnet.edu.au
King, Sara (orcid: 0000-0003-3199-5592)
Mason, Ingrid (orcid: 0000-0002-0658-6095)
Burke, Melissa (orcid: 0000-0002-5571-8664)
Networks, data handling
The Living Book of Digital Skills
The Living Book of Digital Skills (You never knew you needed until now) is a living, open source online guide to 'modern not-quite-technical computer skills' for researchers and the broader academic community.
A collaboration between Australia's Academic Research Network (AARNet) and the...
Keywords: digital skills, digital dexterity, community, open source
Resource type: guide
The Living Book of Digital Skills
https://aarnet.gitbook.io/digital-skills-gitbook-1/
https://dresa.org.au/materials/the-living-book-of-digital-skills
*The Living Book of Digital Skills (You never knew you needed until now)* is a living, open source online guide to 'modern not-quite-technical computer skills' for researchers and the broader academic community.
A collaboration between Australia's Academic Research Network (AARNet) and the Council of Australian Librarians (CAUL), this book is the creation of the CAUL Digital Dexterity Champions and their communities.
**Contributing to the Digital Skills GitBook**
The Digital Skills GitBook is an open source project and like many projects on GitHub we welcome your contributions.
If you have knowledge or expertise on one of our [requested topics](https://aarnet.gitbook.io/digital-skills-gitbook-1/requested-articles), we would love you to write an article for the book. Please let us know what you'd like to write about via our [contributor form](https://github.com/AARNet/Digital-Skills-GitBook/issues/new?assignees=sarasrking&labels=contributors&template=contributor-form.yml&title=Contributor+form%3A+).
There are other ways to contribute too. For example, you might:
* have a great idea for a new topic to be included in one of our chapters (make a new page)
* notice some information that’s out-of-date or that could be explained better (edit a page)
* come across something in the GitBook that’s not working as it should be (submit an issue)
Sara King - sara.king@aarnet.edu.au
Sara King
Miah de Francesch
Emma Chapman
Katie Mills
Ruth Cameron
digital skills, digital dexterity, community, open source
ugrad
masters
mbr
phd
ecr
researcher
support