Thanks as well for the additional funding provided by the @nfdi4earth.bsky.social from the @dfg.de and @belspo.be via the HERMES projects led by Diego Miralles.

#Lexcube #EarthSystemDataCubes #DataVisualization #Lexcube4Jupyter

Thanks a lot to my collaborators @miguelmahecha.bsky.social, Gerik Scheuermann and @dmlmont.bsky.social for making this possible, as well as the funding by @esa.int @esaearth.esa.int through the DeepESDL project advised by Anca Anghelea in cooperation with @brockmannconsult.bsky.social!

🚀 Try it directly in your browser: lexcube.org

🌏 Wanna visualize your own data? Use the open-source Python package (now in v1.0!): www.github.com/msoechting/l...

📃 How does it work? See our recent paper: www.tandfonline.com/doi/full/10....

Even more new features:

▶️ Advanced animation options: animate any dimension & select a subrange to animate! 👇
🖌️ Improved colormap UI!
🔨 Various stability and performance improvements & bugfixes!

For more details, also refer to our Lexcube paper @ doi.org/10.1109/MCG.... Thanks to
ESA for the new funding and NFDI4Earth for the initial funding! And thanks to my co-authors @miguelmahecha.bsky.social @dmlmont.bsky.social and Gerik Scheuermann! github.com/msoechting/lexcube

👆 Interacting with the data cube is as intuitive as on lexcube.org: You can use touch gestures, your mouse or even sliders to interact with the 3D data selection that is visualized in your data cube.

🎁 Any 3D gridded data set that is either an Xarray or Numpy object can be loaded. You can even load data that is not even spatiotemporal, as long as it has any 3 dimensions, e.g., 2D spatial data with pressure level as the 3rd dimension, like this: www.lexcube.org?!era5-specif...