17 materials found
Target audience:
mbr
Biosecurity Commons written support material
A variety of written material describing the fundamentals of the workflows available on Biosecurity Commons as well as guides to navigating the platform.
Includes: Risk Mapping, Dispersal Modelling, Surveillance Design, Impact Analysis and Proof of Freedom.
Keywords: Biosecurity Commons, Biosecurity, risk mapping, Species Distribution Modelling, dispersal modelling, surveillance design, impact analysis, proof of freedom
Biosecurity Commons written support material
https://support.biosecuritycommons.org.au/support/home
https://dresa.org.au/materials/biosecurity-commons-written-support-material
A variety of written material describing the fundamentals of the workflows available on Biosecurity Commons as well as guides to navigating the platform.
Includes: Risk Mapping, Dispersal Modelling, Surveillance Design, Impact Analysis and Proof of Freedom.
https://www.biosecuritycommons.org.au/contact-us/
Biosecurity Commons, Biosecurity, risk mapping, Species Distribution Modelling, dispersal modelling, surveillance design, impact analysis, proof of freedom
professional
support
ugrad
masters
mbr
phd
Biosecurity Commons YouTube instructional videos
This growing set of instructional videos teaches users how to navigate the platform and how to run the variety of workflows available on the platform. An increasing number of these videos will be embedded into the platform https://app.biosecuritycommons.org.au/
Keywords: Biosecurity, risk mapping, Species Distribution Modelling, Biosecurity Commons
Biosecurity Commons YouTube instructional videos
https://www.youtube.com/channel/UC9RsyHOjJ6ztS9IUn40UnxA
https://dresa.org.au/materials/biosecurity-commons-youtube-instructional-videos
This growing set of instructional videos teaches users how to navigate the platform and how to run the variety of workflows available on the platform. An increasing number of these videos will be embedded into the platform https://app.biosecuritycommons.org.au/
https://www.biosecuritycommons.org.au/contact-us/
Biosecurity, risk mapping, Species Distribution Modelling, Biosecurity Commons
support
professional
masters
mbr
phd
EcoCommons written support material, species distribution models explained and platform guides
These written descriptions on how to use the EcoCommons platform, the descriptions of the variety of species distribution models (SDM) available and the how to design and run and SDM have proven very popular with students whose instructors are using EcoCommons to teach basic SDM. They also...
Keywords: Species Distribution Modelling, Ecology, EcoCommons
EcoCommons written support material, species distribution models explained and platform guides
https://support.ecocommons.org.au/support/home
https://dresa.org.au/materials/ecocommons-written-support-material-species-distribution-models-explained-and-platform-guides
These written descriptions on how to use the EcoCommons platform, the descriptions of the variety of species distribution models (SDM) available and the how to design and run and SDM have proven very popular with students whose instructors are using EcoCommons to teach basic SDM. They also provide useful references for anyone using the platform.
https://www.ecocommons.org.au/contact/
Species Distribution Modelling, Ecology, EcoCommons
ugrad
masters
mbr
phd
EcoCommons & Open EcoAcoustics SDM use case
- Examples of code and the associated text summaries describe how open ecoacoustics https://openecoacoustics.org/ data can generate better SDM predictions. By using long-term monitoring data from https://acousticobservatory.org/ which allows analysts to infer absence locations, which does a much...
Keywords: Species Distribution Modelling, Ecoacoustics, Ecology, Owls, Mapping uncertainty
EcoCommons & Open EcoAcoustics SDM use case
https://www.ecocommons.org.au/acoustic-sdm-use-case/
https://dresa.org.au/materials/ecocommons-open-ecoacoustics-sdm-use-case
1. Examples of code and the associated text summaries describe how open ecoacoustics https://openecoacoustics.org/ data can generate better SDM predictions. By using long-term monitoring data from https://acousticobservatory.org/ which allows analysts to infer absence locations, which does a much better job at predicting distributions than presence only methods, and which facilitate use of call frequency as a response variable rather than presence absence.
The code and data used to generate these examples:
https://github.com/andrew-1234/sdm-usecase-master
2. Shows one way to overlay areas with the least geographically and environmentally representative sampling in addition to the predicted probability of occurrence generated by an SDM. This shows how to spatially represent areas where additional acoustic sampling would increase representative sampling most.
The code used in this example:
https://github.com/EcoCommons-Australia/educational_material/tree/main/SDMs_in_R/Scripts/adding_uncertainty_to_the_map
https://www.ecocommons.org.au/contact/
Species Distribution Modelling, Ecoacoustics, Ecology, Owls, Mapping uncertainty
ugrad
masters
mbr
phd
EcoCommons Marine use case
This is a toy example with many of the steps required for a robust example not included. This does show how to pull together marine data from IMOS / AODN and summarise those environmental predictors and occurrence data by month. Then we show how you can pull together one model with predictors...
Keywords: Species Distribution Modelling, SDM temporal predictions, Ecology, Marine seasonal distributions, R statistical software
EcoCommons Marine use case
https://www.ecocommons.org.au/marine-use-case/
https://dresa.org.au/materials/ecocommons-marine-use-case
This is a toy example with many of the steps required for a robust example not included. This does show how to pull together marine data from IMOS / AODN and summarise those environmental predictors and occurrence data by month. Then we show how you can pull together one model with predictors that are both temporally (monthly) and spatially (Australian waters) explicit.
Again, a robust example would need calibration and validation steps, but this example does show how SDMs can be developed across time.
The data and code needed to run these examples is here:
https://github.com/EcoCommons-Australia/educational_material/tree/main/Marine_use_case
https://www.ecocommons.org.au/contact/
Species Distribution Modelling, SDM temporal predictions, Ecology, Marine seasonal distributions, R statistical software
ugrad
masters
mbr
phd
ecr
Species Distribution Modelling in R
This set of scripts and videos provide an introduction to running SDMs in R and include some steps to consider that go beyond what's available in the EcoCommons SDM point-and-click tools.
Five videos include: 1. An introduction to SDM in R, 2. occurrence data, 3. environmental data, 4. fitting...
Keywords: Species Distribution Modelling, Ecology, R software, EcoCommons
Species Distribution Modelling in R
https://www.ecocommons.org.au/educational-material4-mastering-species-distribution-modelling-in-r/
https://dresa.org.au/materials/species-distribution-modelling-in-r
This set of scripts and videos provide an introduction to running SDMs in R and include some steps to consider that go beyond what's available in the EcoCommons SDM point-and-click tools.
Five videos include: 1. An introduction to SDM in R, 2. occurrence data, 3. environmental data, 4. fitting your model, 5. model evaluation
Scripts and files are available here:
https://github.com/EcoCommons-Australia/educational_material/tree/main/SDMs_in_R/Scripts
Scripts for all four modules are here: https://www.ecocommons.org.au/wp-content/uploads/EcoCommons_steps_1_to_4.html
https://www.ecocommons.org.au/contact/
https://orcid.org/0000-0002-1359-5133
Species Distribution Modelling, Ecology, R software, EcoCommons
ugrad
mbr
phd
Get started with R: an introduction for beginners
These two videos walk through the "R for Ecologists" module offered by the Data Carpentries https://datacarpentry.org/R-ecology-lesson/
The first video: Manipulating Data covers:
Opening R, setting your working directory, reading and downloading csv files, selecting and filtering data, using...
Keywords: Beginner R coding, The Carpentries, R studio, Beginer ecological modelling
Resource type: video, lesson
Get started with R: an introduction for beginners
https://www.ecocommons.org.au/educational-material3-get-started-with-r/
https://dresa.org.au/materials/get-started-with-r-an-introduction-for-beginners
These two videos walk through the "R for Ecologists" module offered by the Data Carpentries https://datacarpentry.org/R-ecology-lesson/
The first video: Manipulating Data covers:
Opening R, setting your working directory, reading and downloading csv files, selecting and filtering data, using pipeline operators, creating new columns based on existing ones, and summarising data
The second video: Visualising data with ggplot2 covers:
A recap of module 1 and getting started with ggplot2 to create plots and a variety of data visualisations
Links to the R scripts are provided
https://www.ecocommons.org.au/contact/
Beginner R coding, The Carpentries, R studio, Beginer ecological modelling
ugrad
mbr
phd
Discovering Species Distribution Modelling with BCCVL
A set of 10 videos that provide an excellent introduction to species distribution modelling. These modules include: 1. Introduction to SDM, 2. Ecological theory of SDM, 3. Data for SDMs, 4. Design an SDM, 5. Presence only models, 6. Statistical models, 7. Machine learning models, 8. Model...
Keywords: Species Distribution Modelling, Ecology, EcoCommons, Beginer ecological modelling, Climate projections
Discovering Species Distribution Modelling with BCCVL
https://www.ecocommons.org.au/educational-material2-discovering-species-distribution-with-bccvl/
https://dresa.org.au/materials/discovering-species-distribution-modelling-with-bccvl
A set of 10 videos that provide an excellent introduction to species distribution modelling. These modules include: 1. Introduction to SDM, 2. Ecological theory of SDM, 3. Data for SDMs, 4. Design an SDM, 5. Presence only models, 6. Statistical models, 7. Machine learning models, 8. Model evaluation, 9. SDMs and climate change projections, 10. Case studies in BCCVL
https://www.ecocommons.org.au/contact/
BCCVL
Species Distribution Modelling, Ecology, EcoCommons, Beginer ecological modelling, Climate projections
ugrad
mbr
EcoCommons Modelling Made Easy
These ten videos walk users through some of the point-and-click functionality available on the EcoCommons platform including: 1. Navigating the EcoCommons platform, 2. Exploring environmental and climate grids available on the platform, 3. Importing your own data, 4. How to run a Species...
Keywords: Species Distribution Modelling, Climate projections , EcoCommons, Ecology
Resource type: video
EcoCommons Modelling Made Easy
https://www.ecocommons.org.au/educational-material-1-ecocommons-modelling-made-easy/
https://dresa.org.au/materials/ecocommons-modelling-made-easy
These ten videos walk users through some of the point-and-click functionality available on the EcoCommons platform including: 1. Navigating the EcoCommons platform, 2. Exploring environmental and climate grids available on the platform, 3. Importing your own data, 4. How to run a Species Distribution Model (SDM), 5. Predicting how distributions will change under climate change, 6. Running simple (averaged) ensemble models of SDMs, 7. An introduction to toy species trait problems that highlight how variation in species traits can be predicted spatially, 8. An introduction to Biosecurity Risk Mapping, 9. How to run SDMs for multiple species, 10. A multiple species SDM use case
support@ecocommons.org.au
Species Distribution Modelling, Climate projections , EcoCommons, Ecology
ugrad
mbr
phd
Understanding your role as a Data Steward: the role of a Data Steward across the research data management lifecycle
This presentation provides an overview of the role and responsibilities of Data Steward at the University of Adelaide across the six key phases of the research data management lifecycle.
The resource was developed by the University of Adelaide Library in December 2023 as part of the...
Keywords: research data management, RDM, RDM Training, data stewardship, research data governance, role profiles
Resource type: presentation
Understanding your role as a Data Steward: the role of a Data Steward across the research data management lifecycle
https://doi.org/10.25909/25248025
https://dresa.org.au/materials/understanding-your-role-as-a-data-steward-the-role-of-a-data-steward-across-the-research-data-management-lifecycle
This presentation provides an overview of the role and responsibilities of Data Steward at the University of Adelaide across the six key phases of the research data management lifecycle.
The resource was developed by the University of Adelaide Library in December 2023 as part of the Institutional Underpinnings program facilitated by the Australian Research Data Commons (ARDC).
University of Adelaide Library contact: https://www.adelaide.edu.au/library/ask-library
Crichton, Tom
research data management, RDM, RDM Training, data stewardship, research data governance, role profiles
mbr
phd
ecr
researcher
Introduction to REDCap at Griffith University
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.
Keywords: REDCap, survey instruments
Resource type: tutorial
Introduction to REDCap at Griffith University
https://griffithunilibrary.github.io/redcap-intro/
https://dresa.org.au/materials/introduction-to-redcap-at-griffith-university
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.
y.banens@griffith.edu.au
Yuri Banens
REDCap, survey instruments
mbr
phd
ecr
researcher
support
Introduction to text mining and analysis
In this self-paced workshop you will learn steps to:
- Build data sets: find where and how to gather textual data for your corpus or data set.
- Prepare data for analysis: explore useful processes and tools to prepare and clean textual data for analysis
- Analyse data: identify different...
Keywords: textual training materials
Resource type: tutorial
Introduction to text mining and analysis
https://griffithunilibrary.github.io/intro-text-mining-analysis/
https://dresa.org.au/materials/introduction-to-text-mining-and-analysis
In this self-paced workshop you will learn steps to:
- Build data sets: find where and how to gather textual data for your corpus or data set.
- Prepare data for analysis: explore useful processes and tools to prepare and clean textual data for analysis
- Analyse data: identify different types of analysis used to interrogate content and uncover new insights
s.stapleton@griffith.edu.au; y.banens@griffith.edu.au;
Yuri Banens
Sharron Stapleton
Ben McRae
textual training materials
mbr
phd
ecr
researcher
support
Advanced Data Wrangling with OpenRefine
This online self-paced workshop teaches advanced data wrangling skills including combining datasets, geolocating data, and “what if” exploration using OpenRefine.
Keywords: data skills, data
Resource type: tutorial
Advanced Data Wrangling with OpenRefine
https://griffithunilibrary.github.io/advanced-data-wrangle-2/
https://dresa.org.au/materials/advanced-data-wrangling-with-openrefine
This online self-paced workshop teaches advanced data wrangling skills including combining datasets, geolocating data, and “what if” exploration using OpenRefine.
s.stapleton@griffith.edu.au
Sharron Stapleton
data skills, data
mbr
phd
ecr
researcher
support
professional
Introduction to Data Cleaning with 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...
Keywords: data skills, Data analysis
Resource type: tutorial
Introduction to Data Cleaning with OpenRefine
https://griffithunilibrary.github.io/data-cleaning-intro/
https://dresa.org.au/materials/introduction-to-data-cleaning-with-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 in a structured or semi-structured format.
s.stapleton@griffith.edu.au;
Sharron Stapleton
data skills, Data analysis
mbr
phd
ecr
researcher
support
professional
Introduction to Unix
A hands-on workshop covering the basics of the Unix command line interface.
Knowledge of the Unix operating system is fundamental to the use of many popular bioinformatics command-line tools. Whether you choose to run your analyses locally or on a high-performance computing system, knowing...
Keywords: Unix, Command line, Command-line, CLI
Resource type: tutorial
Introduction to Unix
https://www.melbournebioinformatics.org.au/tutorials/tutorials/unix/unix/
https://dresa.org.au/materials/introduction-to-unix
A hands-on workshop covering the basics of the Unix command line interface.
Knowledge of the Unix operating system is fundamental to the use of many popular bioinformatics command-line tools. Whether you choose to run your analyses locally or on a high-performance computing system, knowing your way around a command-line interface is highly valuable. This workshop will introduce you to Unix concepts by way of a series of hands-on exercises.
This workshop is designed for participants with little or no command-line knowledge.
Tools: Standard Unix commands, FileZilla
Topic overview:
Section 1: Getting started
Section 2: Exploring your current directory
Section 3: Making and changing directories
Section 4: Viewing and manipulating files
Section 5: Removing files and directories
Section 6: Searching files
Section 7: Putting it all together
Section 8: Transferring files
Tutorial instructions available here: https://www.melbournebioinformatics.org.au/tutorials/tutorials/unix/unix/
For queries relating to this workshop, contact Melbourne Bioinformatics (bioinformatics-training@unimelb.edu.au).
Find out when we are next running this training as an in-person workshop, by visiting the Melbourne Bioinformaitcs Eventbrite page: https://www.eventbrite.com.au/o/melbourne-bioinformatics-13058846490
For queries relating to this workshop, contact Melbourne Bioinformatics (bioinformatics-training@unimelb.edu.au).
Morgan, Steven (orcid: 0000-0001-6038-6126)
Unix, Command line, Command-line, CLI
ugrad
masters
mbr
phd
ecr
researcher
support
professional
Heurist Tutorials
A set of video tutorials with accompanying walkthroughs for building your first Heurist database and website. The first three tutorials show you how to get started in Heurist. The five subsequent tutorials introduce you to the five main menus in the Heurist interface.
Keywords: Heurist, Data management, Data visualisation, Digital Humanities, Databasing, website
Resource type: tutorial
Heurist Tutorials
https://heuristnetwork.org/tutorials
https://dresa.org.au/materials/heurist-tutorials
A set of video tutorials with accompanying walkthroughs for building your first Heurist database and website. The first three tutorials show you how to get started in Heurist. The five subsequent tutorials introduce you to the five main menus in the Heurist interface.
michael.falk@sydney.edu.au
Falk, Michael
Johnson, Ian
Osmakov, Artem
Heurist, Data management, Data visualisation, Digital Humanities, Databasing, website
mbr
phd
ecr
researcher
support
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