NOTEBOOK DIRECTORY
New EarthCube Peer-Reviewed Jupyter Notebooks Now Available
A novel element of the 2020, 2021 and 2022 EarthCube Annual Meetings was a call for notebooks, which led to 44 peer-reviewed Jupyter notebooks that encompass an array of geoscience data tools, software, services, and libraries. Each notebook was reviewed by scholars within the geoscience and cyberinfrastructure community.
These notebooks are now available on GitHub and Zenodo for interested researchers to view and execute.
“Open-source technologies such as these Jupyter notebooks allow the EarthCube community to create and share valuable insights with one another,” said Kenton McHenry, associate director for software at the National Center for Supercomputing Applications (NCSA).
“These notebooks represent a new element in the scholarly publishing system: they provide us with a means to easily share tested, user-friendly, and interactive workflows,” said Daniel S. Katz, NCSA chief scientist. “Further Calls for Notebooks are now underway and we encourage the community to participate, as well as to provide feedback about how we can better support notebooks in the peer-review and publishing systems.”
The 2022 notebooks are now available:
Nicholas McKay, Julien Emile-Geay, Deborah Khider
Accelerating Lagrangian analyses of oceanic data: benchmarking typical workflows
Miron, Philippe, Elipot, Shane, Lumpkin, Rick, Dano, Bertrand
Jupyter Notebooks as a bridge to the MagIC Database and Open Science
Lisa Tauxe, Rupert Minnett, Nick Jarboe, Catherine Constable, Anthony Koppers
PaleoHack: Putting EarthCube tools in the hands of paleogeoscientists
Deborah Khider, Julien Emile-Geay, Alexander James, Feng Zhu
Handling Highly Imbalanced Data in Machine Learning Applications
Patrick M. O'Keefe, Viacheslav M. Sadykov, Alexander G. Kosovichev, Gelu M. Nita, Vincent Oria, Shantanu Sharma, Fraila Francis, Chun Jie Chong
Magnetic Polarity Inversion Line Detection and Analysis Tool
Anli Ji, Nigar Khasayeva, Xumin Cai, Manolis K. Georgoulis, Petrus C. Martens, Rafal A. Angryk, Berkay Aydin
Visualizing Ice Core Datasets in Python Using a Jupyter Notebook Template
L. Markowsky, Jessica Scheick
AMGeO 2.0: Crafting an API for Geospace Data Scientists
Willem Mirkovich, Tomoko Matsuo, Liam Kilcommons
Sumanth Rotti, Akhil Arya, Berkay Aydin, Manolis K. Georgoulis, Petrus C. Martens
The 2021 notebooks are now available:
Programmatic Access to OpenTopography’s Cloud Optimized Geotiff (COG) Global Datasets
Matthew Beckley, Chris Crosby, Viswanath Nandigam, Minh Phan
Reanalysis of archived paleointensity data using a new statistical method
Brendan Cych, Matthias Morzfeld, Lisa Tauxe
Patrick Clifton Gray, David W. Johnston
Jay Potnis, V. Chandrasekar, Ryan Gooch
Diagnosing the Eliassen-Palm flux from a quasi-geostrophic double gyre ensemble
Takaya Uchida, Bruno Deremble, William K. Dewar, Thierry Penduff
Susanna Anil, Steve Diggs, Sarah Purkey, Donata Giglio, Lynne Merchant, Megan Scanderbeg, Tyler Tucker
xclim: Software ecosystem for climate services
Pascal Bourgault, Travis Logan, David Huard, Trevor J. Smith
Toward autonomous detection of anomalous GNSS data via applied unsupervised artificial intelligence
Mike Dye, D. Sarah Stamps, Myles Mason
Volcanic activity detection and noise characterization using machine learning
Myles Mason, John Wenskovitch, D Sarah Stamps, Joshua Robert Jones
Giovanni Seijo-Ellis, Donata Giglio, Sarah Purkey, Megan Scanderbeg, Tyler Tucker
Mapping ice flow velocity using an easy and interactive feature tracking workflow
Whyjay Zheng, Shane Grigsby, Facundo Sapienza, Jonathan Taylor, Tasha Snow, Fernando Perez, Matthew Siegfried
cf_xarray : Scale your analysis across datasets with less data wrangling and more metadata handling
Mattia Almansi, Deepak Cherian, Pascal Bourgault
itslive-explorer: interactive exploration of glacier velocities at a global scale
Luis Lopez, Alex Gardner, Ted Scambos, Mark Fahnestock, Maria Liukis, Yang Lei, Chad Greene, Joe Kennedy
OGGM-Edu - Jupyter notebooks to learn and teach about glaciers
Fabien Maussion, Erik Holmgren, Lindsey Nicholson, Lizz Ultee, Zora Schirmeister, Patrick Schmitt, Lilian Schuster
Automated Machine Learning for Earth Science via AutoGluon
Xingjian Shi, Wen-ming Ye, Nick Erickson, Jonas Mueller, Alexander Shirkov, Zhi Zhang, Mu Li, Alex Smola
The 2020 notebooks are now available:
3D volume rendering of geophysical data using the yt platform
Christopher Havlin, Benjamin Holtzman, Kacper Kowalik, Madicken Munk, Sam Walkow, Matthew Turk
Lisa Tauxe, Rupert Minnett, Nicholas Jarboe, Catherine Constable, Anthony Koppers, Lori Jonestrask, Nicholas Swanson-Hysell
Scikit-downscale: an open source Python package for scalable climate downscaling
Joseph Hamman and Julia Kent
An Interactive GUI for BALTO in a Jupyter notebook
Scott Dale Peckham, Maria Stoica, D. Sarah Stamps, James Gallagher, Nathan Potter, David Fulker
CMIP6 without the interpolation: Grid-native analysis with Pangeo in the cloud
Julius Busecke, Ryan Abernathey
Multi-Cloud workflows with Pangeo and Dask Gateway
Tom Augspurger, Martin Durant, Ryan Abernathey, Joe Hamman
Tyler Tucker, Donata Giglio, Megan Scanderbeg
Intake / Pangeo Catalog: Making It Easier To Consume Earth’s Climate and Weather Data
Anderson Banihirwe, Charles Blackmon-Luca, Ryan Abernathey, Joseph Hamman
Processing digital elevation data for deep learning models using Keras Spatial
Aiman Soliman and Jeffrey Terstriep
Vertical Regridding and Remapping
C. Spencer Jones, Julius Busecke, Takaya Uchida, Ryan Abernathey