Proposing to add Webviz to the list, along with Webviz-subsurface.

Project name:
Webviz+Webviz-subsurface

Project website/repository:
https://github.com/equinor/webviz-subsurface/

License:
MIT for webviz-config, GPLv3 for webviz-subsurface

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Description of the desired feature

Following on from #464, we'll need help adding a gallery/tutorial on how to pass in datetime inputs to plot!

we should add .ipynb to the gitignore - notebooks are out-of-scope for this repo. In the past we have had some notebooks be committed which adds a large volume of code to the log that is later removed

Description of the desired feature

When trying to create rolling windows with a size larger than the minimum dimension of the region, the function raises a very strange error:

For example, if our region is 20e3 x 10e3 and we try to generate windows with a size of 15e3:

import verde as vd

coordinates = vd.grid_coordinates(region=(-10e3, 10e3, -5e3, 5e3), shape=(30, 30

We need to make a better job of providing citation information for Fatiando components. The coolest thing I've seen so far is duecredit. We can annotate our code with references and the user can use duecredit to generate a full list of references (including external libraries).

Description of the desired feature

On the last community call we decided to move all sample datasets in Fatiando to Rockhound.
Harmonica datasets are being moved to Rockhound on fatiando/rockhound#84.
After it is merged, we should remove the harmonica.datasets along with the data folder. Besides, all gallery examples should download their data from Rockhound, there

Visualize probabilty of pick along well instead of just returning max probability prediction in each well.

Incorporate simple melting and fractionation models into pyrolite.geochem.magma.

These can later be extended with more complicated models.

Relevant References

• Shaw D. M. (1970) Trace element fractionation during anatexis. Geochimica et Cosmochimica Acta 34, 237–243.

Description of the desired feature

Would be nice if the gallery example corresponding to each dataset would explicit the license under it's released and a reference to its article (or doi). By facilitating this information we could encourage people to cite the models they use, and get to know under which license are they released.