Difference between revisions of "Useful resources"

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This place is to create a library of links to external resources that might be useful to the Centre's staff and students.
 
This place is to create a library of links to external resources that might be useful to the Centre's staff and students.
=Data services=  
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= Data services =
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[https://earthdata.nasa.gov/ | NASA Earthdata]: this is a portal to NASA datasets. The User Resources tab also have a list of recorded [https://earthdata.nasa.gov/user-resources/webinars-and-tutorials | webinars] around the use of these datasets.
 
* <span style="background-color: #ffffff; font-family: Arial,Helvetica,sans-serif;">[[GIOVANNI  |  GIOVANNI]] - GES-DISC Interactive Online Visualization ANd aNalysis Infrastructure</span>
 
* <span style="background-color: #ffffff; font-family: Arial,Helvetica,sans-serif;">[https://dl.tpac.org.au/tpacportal/ | TPAC] Climate and Ocean data portal</span>
 
* <span style="background-color: #ffffff; font-family: Arial,Helvetica,sans-serif;">[http://www.ands.org.au/ | The Australian National Data Service (ANDS)]</span>
 
* <span style="background-color: #ffffff; font-family: Arial,Helvetica,sans-serif;">[http://researchdata.ands.org.au/ | Research Data Australia]</span>
 
* <span style="background-color: #ffffff; color: #000000;">[http://cfconventions.org/ | CF metadata conventions website]</span>
 
* <span style="background-color: #ffffff; color: #000000;">[http://www.bom.gov.au/climate/data/ | BoM Climate data services]</span>
 
* <span style="background-color: #ffffff; color: #000000;">[https://terranova.org.au/ | Terra Nova] - The Australian Climate Change Adaptation Information Hub</span>
 
  
=Tools=  
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[https://earthdata.nasa.gov/ NASA Earthdata]: this is a portal to NASA datasets. The User Resources tab also have a list of recorded [https://earthdata.nasa.gov/user-resources/webinars-and-tutorials webinars] around the use of these datasets.
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*<span style="background-color: #ffffff; font-family: Arial,Helvetica,sans-serif;">[https://giovanni.gsfc.nasa.gov/giovanni/%20GIOVANNI [1]] GIOVANNI] - GES-DISC Interactive Online Visualization ANd aNalysis Infrastructure</span>
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*<span style="background-color: #ffffff; font-family: Arial,Helvetica,sans-serif;">[https://dl.tpac.org.au/tpacportal/ TPAC] Climate and Ocean data portal</span>
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*<span style="background-color: #ffffff; font-family: Arial,Helvetica,sans-serif;">[http://www.ardc.org.au/ The Australian Research&nbsp;Data Commons&nbsp;(ARDC, previously known as ANDS)]</span>
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*<span style="background-color: #ffffff; font-family: Arial,Helvetica,sans-serif;">[http://researchdata.ands.org.au/ Research Data Australia]</span>
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*<span style="background-color: #ffffff; color: #000000;">[http://cfconventions.org/ CF metadata conventions website]</span>
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*<span style="background-color: #ffffff; color: #000000;">[http://www.bom.gov.au/climate/data/ BoM Climate data services]</span>
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*<span style="background-color: #ffffff; color: #000000;">[https://terranova.org.au/ Terra Nova] - The Australian Climate Change Adaptation Information Hub</span>
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= Tools =
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<span style="background-color: #ffffff; line-height: 1.5;">[http://www.marvl.org.au/ | MARVL - Marine virtual Laboratory] : </span><span style="font-family: Arial,Helvetica,sans-serif; line-height: 1.5;">The Australian Marine Virtual Laboratory (MARVL) is a new development in modelling frameworks for researchers in Australia, co-funded by NeCTAR ([http://www.nectar.org.au/ | www.nectar.org.au]). MARVL allows a non-specialist user to configure and run a model, automating many of the modelling preparation steps needed to bring the researcher faster to the stage of simulation and analysis. The tool is seen as enhancing the efficiency of researchers and marine managers, and is being considered as a educational aid in teaching. Most researchers, students and academic staff with have access to MARVL via their [http://aaf.edu.au/ | AAF](Australian Access Federation) identity, in most cases this is your normal login identity at your local university, institute or federal agency.</span>
 
  
<span style="font-family: Arial,Helvetica,sans-serif;">[http://www.unidata.ucar.edu/blogs/news/entry/metpy_an_open_source_python | MetPy] : </span>MetPy is an Open Source project aimed at providing a Pythonic library for meteorological data analysis that meshes well with the rest of the scientific Python ecosystem.
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<span style="background-color: #ffffff; line-height: 1.5;">[http://www.marvl.org.au/ MARVL - Marine virtual Laboratory]&nbsp;: </span><span style="font-family: Arial,Helvetica,sans-serif; line-height: 1.5;">The Australian Marine Virtual Laboratory (MARVL) is a new development in modelling frameworks for researchers in Australia, co-funded by NeCTAR ([http://www.nectar.org.au/ www.nectar.org.au]). MARVL allows a non-specialist user to configure and run a model, automating many of the modelling preparation steps needed to bring the researcher faster to the stage of simulation and analysis. The tool is seen as enhancing the efficiency of researchers and marine managers, and is being considered as a educational aid in teaching. Most researchers, students and academic staff with have access to MARVL via their [http://aaf.edu.au/ AAF](Australian Access Federation) identity, in most cases this is your normal login identity at your local university, institute or federal agency.</span>
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<span style="font-family: Arial,Helvetica,sans-serif;">[http://www.unidata.ucar.edu/blogs/news/entry/metpy_an_open_source_python MetPy]&nbsp;: </span>MetPy is an Open Source project aimed at providing a Pythonic library for meteorological data analysis that meshes well with the rest of the scientific Python ecosystem.
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= Tutorials and other tips and tricks =
  
=Tutorials and other tips and tricks=
 
 
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[http://web.maths.unsw.edu.au/~oangelil/blog/blog2/page_blog2.html | help to start]: a blog post written by Oliver Angélil, a PhD student at the CCRC. It goes through a few practical tips and tricks to help with what to know when starting working in the field of climate science.
 
  
CMS blog: [[https://climate-cms.org]]
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[http://web.maths.unsw.edu.au/~oangelil/blog/blog2/page_blog2.html help to start]: a blog post written by Oliver Angélil, a PhD student at the CCRC. It goes through a few practical tips and tricks to help with what to know when starting working in the field of climate science.
  
CMS training: [https://docs.google.com/presentation/d/13eCaZCLwh48-3MHg8ks5O3kXTc3Wz4WbkdB0ZqZnZZM/edit?usp=sharing | Publishing]
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CMS blog: [https://climate-cms.org https://climate-cms.org]
  
CMS training: [https://docs.google.com/presentation/d/1EclbLy3x28F6u821P7_XJT7cfBQpanIo4BxSpJhHcAM/edit?usp=sharing | Storage management] and a separate document with[https://docs.google.com/document/d/17gpAuinpf5DKVhCXABAwgtbwGBzmdgi1diJiZVHyZrc/edit?usp=sharing |  links for the training]
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CMS training: [https://docs.google.com/presentation/d/13eCaZCLwh48-3MHg8ks5O3kXTc3Wz4WbkdB0ZqZnZZM/edit?usp=sharing Publishing]
  
CMS training: [https://docs.google.com/presentation/d/1Bl1SI_v3s-kgqs96FYROO--JhDw_Trujb5TYnxhBaD8/edit#slide=id.g2739569a98_1_58 | Shell tips and tricks]
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CMS training: [https://docs.google.com/presentation/d/1EclbLy3x28F6u821P7_XJT7cfBQpanIo4BxSpJhHcAM/edit?usp=sharing Storage management] and a separate document with[https://docs.google.com/document/d/17gpAuinpf5DKVhCXABAwgtbwGBzmdgi1diJiZVHyZrc/edit?usp=sharing links for the training]
  
CMS training: [https://docs.google.com/presentation/d/1Rvn7a8Y4ghz0SVprwyIN6KHrXqpOYvw2GMcdwFriFEk/edit | Debugging 101]
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CMS training: [https://docs.google.com/presentation/d/1Bl1SI_v3s-kgqs96FYROO--JhDw_Trujb5TYnxhBaD8/edit#slide=id.g2739569a98_1_58 Shell tips and tricks]
  
CMS training: [https://docs.google.com/presentation/d/1n3b_gRNhb164MQNrFYv0oj12tUCqSnaWgSEzAZNWBL8/edit#slide=id.p | Debugging - Run time checks]
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CMS training: [https://docs.google.com/presentation/d/1Rvn7a8Y4ghz0SVprwyIN6KHrXqpOYvw2GMcdwFriFEk/edit Debugging 101]
  
CMS training: [https://github.com/ScottWales/training | Xarray dask training GitHub]
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CMS training: [https://docs.google.com/presentation/d/1n3b_gRNhb164MQNrFYv0oj12tUCqSnaWgSEzAZNWBL8/edit#slide=id.p Debugging - Run time checks]
  
CMS training: [http://%20https:''youtu.be/ya-xXY5uzeo | Introduction to 3D visualisation with ParaView] by Martin Jucker (youtube video)
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CMS training: [https://github.com/ScottWales/training Xarray dask training GitHub]
  
CMS training: [https://youtu.be/QXIj1nYwGcY | Introduction to CleF: Climate Finder a tool to discover ESGF datasets] (youtube video)
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CMS training: [http://%20https: ''youtu.be/ya-xXY5uzeo Introduction to 3D visualisation with ParaView'']''by Martin Jucker (youtube video)''
  
CMS training: [https://www.youtube.com/watch?v=fHtLbMmgoMY&feature=youtu.be | Python: transitioning from 2 to 3]
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CMS training: [https://youtu.be/QXIj1nYwGcY Introduction to CleF: Climate Finder a tool to discover ESGF datasets] (youtube video)
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CMS training: [https://www.youtube.com/watch?v=fHtLbMmgoMY&feature=youtu.be Python: transitioning from 2 to 3]
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NCAR [https://ncar.github.io/python-tutorial/tutorials/yourfirst.html tutorial on python for atmospheric and oceanic scientists]
  
 
cheat sheets:
 
cheat sheets:
* [https://docs.google.com/document/d/1do9dtyzTQ5VY3yFC6YEj-fhAW7OnkA5jFzol1vjRu4w/edit?usp=sharing | Tape ARchive - tar]
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* [https://docs.google.com/document/d/1pGgVAoEjErHTn4joiCXbdnZDppEXwq9RcNofedrViz4/edit?usp=sharing | Access Control Lists - acls]
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*[https://docs.google.com/document/d/1do9dtyzTQ5VY3yFC6YEj-fhAW7OnkA5jFzol1vjRu4w/edit?usp=sharing Tape ARchive - tar]  
* [https://docs.google.com/document/d/1ugmBLX385YCuEj1Rd1MEyzC85cZEfE6sDzbfEYiv8ZM/edit?usp=sharing | NCI accounting:] data#_report_files, short_report_files, lquota, ncimonitor and mdssdiff
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*[https://docs.google.com/document/d/1pGgVAoEjErHTn4joiCXbdnZDppEXwq9RcNofedrViz4/edit?usp=sharing Access Control Lists - acls]  
=Professional development=  
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*[https://docs.google.com/document/d/1ugmBLX385YCuEj1Rd1MEyzC85cZEfE6sDzbfEYiv8ZM/edit?usp=sharing NCI accounting:] data#_report_files, short_report_files, lquota, ncimonitor and mdssdiff  
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= Professional development =
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Data science: [https://www.dataquest.io | Dataquest] and [https://www.dataquest.io/blog | its blog].
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Data science: [https://www.dataquest.io Dataquest] and [https://www.dataquest.io/blog its blog].

Latest revision as of 02:08, 3 June 2022

This place is to create a library of links to external resources that might be useful to the Centre's staff and students.

Data services


NASA Earthdata: this is a portal to NASA datasets. The User Resources tab also have a list of recorded webinars around the use of these datasets.

Tools


MARVL - Marine virtual Laboratory : The Australian Marine Virtual Laboratory (MARVL) is a new development in modelling frameworks for researchers in Australia, co-funded by NeCTAR (www.nectar.org.au). MARVL allows a non-specialist user to configure and run a model, automating many of the modelling preparation steps needed to bring the researcher faster to the stage of simulation and analysis. The tool is seen as enhancing the efficiency of researchers and marine managers, and is being considered as a educational aid in teaching. Most researchers, students and academic staff with have access to MARVL via their AAF(Australian Access Federation) identity, in most cases this is your normal login identity at your local university, institute or federal agency.

MetPy : MetPy is an Open Source project aimed at providing a Pythonic library for meteorological data analysis that meshes well with the rest of the scientific Python ecosystem.

Tutorials and other tips and tricks


help to start: a blog post written by Oliver Angélil, a PhD student at the CCRC. It goes through a few practical tips and tricks to help with what to know when starting working in the field of climate science.

CMS blog: https://climate-cms.org

CMS training: Publishing

CMS training: Storage management and a separate document withlinks for the training

CMS training: Shell tips and tricks

CMS training: Debugging 101

CMS training: Debugging - Run time checks

CMS training: Xarray dask training GitHub

CMS training: youtu.be/ya-xXY5uzeo Introduction to 3D visualisation with ParaViewby Martin Jucker (youtube video)

CMS training: Introduction to CleF: Climate Finder a tool to discover ESGF datasets (youtube video)

CMS training: Python: transitioning from 2 to 3

NCAR tutorial on python for atmospheric and oceanic scientists

cheat sheets:

Professional development


Data science: Dataquest and its blog.