Maximilian Söchting
@soechting.bsky.social
60 followers 34 following 9 posts
PhD Student @Rsc4Earth & BSV, @UniLeipzig :: Interactive Visualization of Large-Scale Earth Data Sets ➡ https://github.com/msoechting/lexcube & http://lexcube.org
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soechting.bsky.social
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
soechting.bsky.social
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!
soechting.bsky.social
Even more new features:

▶️ Advanced animation options: animate any dimension & select a subrange to animate! 👇
🖌️ Improved colormap UI!
🔨 Various stability and performance improvements & bugfixes!
soechting.bsky.social
Major update to Lexcube.org - our interactive Earth System Data Cube visualization tool & my PhD project!

➡️ What’s new?
🌍 Region borders (or any GeoJSON) overlaid in the visualization!
🌎 Record GIF/MP4 animations!
🌏 Progress & dataset boundary indicators!

...and many more improvements 👇
soechting.bsky.social
👆 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.
soechting.bsky.social
🎁 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...
soechting.bsky.social
Big news from #Lexcube! 🌍 We have released Lexcube for Jupyter, an open-source Jupyter notebook extension that allows everyone to visualize their own 3D data as interactive data cubes, right in their notebooks! And the best part: it is as easy as plotting a 2D figure! github.com/msoechting/l...