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Learn how to efficiently store large scientific data in .NET using HDF5! Discover practical implementations and tips for handling complex datasets in a single file. Ideal for data scientists and developers. #HDF5 #dotnet

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Microsoft Forms

๐ŸŒ #Earth, #Ocean & #Atmospheric Scientists
Quick poll: Are you using #scientificdata formats? (#NetCDF, #HDF5, #Zarr, etc.)
โœ… Takes only 5' (Required fields) to 15' (Optional fields)!
๐Ÿ‘‰ Link: forms.office.com/Pages/Respon...
Please share, your input helps improve research tools!
#MATLAB #Python

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Video

Unlock the power of your HDF5 data in the cloud! โ˜๏ธ

Cat2Cloud now offers native, out-of-the-box support for HDF5 files. Upload and process your HDF5 data as seamlessly as any other format. โœจ

Ready to see it in action? Try our online demo server today! ๐Ÿ‘‰ cat2cloud.com/demo/

#HDF5 #CloudComputing

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๐Ÿ“ขBlosc2 3.10.2 Released! ๐Ÿ“ข

Lazy evaluation for ALL Blosc2 functions in version 3.10!

Blosc2 powers:
- Zarr/HDF5 computations (see image and blosc.org/posts/tensor...)
- Server compuation via Cat2Cloud (demo site here cat2.cloud/demo/)!

#Zarr
#HDF5
#Python

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jHDF 0.10.0 has been released. Congrats, @jamesmudd.bsky.social for this milestone!
#jHDF is a pure #Java implementation of #HDF5, a hierarchical data file format used heavily in industry.
Its API docs are available on APIdia: apidia.net/mvn/io.jhdf/...

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Mixing #JupyterLite, #WebAssembly and #Cat2Cloud allows incredible speed and flexibility in accessing large remote data silos, both in #Blosc2 and #HDF5 formats โšก

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Struggling with slow I/O in #HDF5? Try #Blosc2 as a filter or I/O data handler โ€” faster data, less pain!

๐Ÿ‘‰ www.blosc.org/posts/pytabl...

#Performance #DataScience

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In this chapter, our Luke Shaw explains how filters work in Caterva2, a free software that you can run on your own laptop (or server, if you are more serious about large datasets). It works for either #Blosc2 or #HDF5 datasets.

Have it a try!

#WebGUI #DataAnalysis #LargeData

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๐Ÿš€ Excited to share more about Caterva2, your ultimate gateway to #Blosc2 / #HDF5 repositories! ๐Ÿš€

#Caterva2 is designed to revolutionize how you interact with large datasets. Want to see it in action? ๐Ÿค” See our new video showcasing Caterva2's main functionalities! ๐ŸŽฌ

ironarray.io/caterva2

Enjoy!

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- YouTube
- YouTube Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

๐Ÿ‘๏ธ๐ŸŽฅ New tutorial!

Trying to make sense of HDF5 files from your eyetracking experiments?

This short video walks you through inspecting, extracting, and visualizing your data.

โ–ถ๏ธ Watch: youtu.be/KpLX4rbCm40
#EyeTracking #HDF5 #PsychoPy #Neuroscience #DataAnalysis

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๐Ÿ“ฃ Video demonstrating the demo originally planned for the HDF5 HUG event at DESY, Hamburg. Thanks to the HDFGroup for the opportunity to present our work on
Blosc2, Caterva2 and HDF5. Happy to contribute to the HDF5 ecosystem!

Enjoy!

#HDF5 #Tomography #DataVisualization #Python #Cat2Cloud

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๐Ÿš€ For over a year, the #Blosc2 plugin for #HDF5 has empowered users to bypass the HDF5 pipeline, proving its production-ready capabilities! ๐ŸŽ‰

#Performance #Compression

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๐Ÿ’ก Did you know you can supercharge your #HDF5 datasets with #Blosc2? ๐Ÿš€

Leverage hdf5plugin (hdf5plugin.readthedocs.io) to integrate Blosc2 as a filter within HDF5. Create and read data using popular Python wrappers like h5py or PyTables, while achieving excellent performance! ๐Ÿ’จ

Compress Better!

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GitHub - Blosc/b2h5py: Transparent optimized reading of n-dimensional Blosc2 slices for h5py Transparent optimized reading of n-dimensional Blosc2 slices for h5py - Blosc/b2h5py

๐Ÿš€ Meet b2h5py: Supercharge your HDF5 data access! โšก๏ธ

Unlock faster reading of Blosc2-compressed HDF5 datasets. Achieve up to 2x-5x speed-ups in reading compared to standard methods! ๐Ÿ’จ github.com/Blosc/b2h5py

Compress better!

#HDF5 #DataAccess #Blosc2 #DataScience #Optimization #Performance

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h5RDMtoolbox - A Python Toolbox for FAIR Data Management around HDF5 Sustainable data management is fundamental to efficient and successful scientific research. The FAIR principles (Findable, Accessible, Interoperable and Reusable) have been proven to be successful gui...

New software descriptor published on ing.grid! "h5RDMtoolbox - A Python Toolbox for FAIR Data Management around HDF5" by Matthias Probst and Balazs Pritz www.inggrid.org/article/id/4... #RDM #HDF5 #python #FAIR #ResearchSoftware

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www.tropos.de/en/institute/career/deta... / @ACTRISRI-D #Jobs @LeibnizWGL #ITJobs #ScienceJobs / #Informatics #Python #netCDF #HDF5 #Databases...

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www.tropos.de/institut/beruf-karriere/... / @ACTRISRI-D #Jobs @LeibnizWGL #ITJobs #ScienceJobs / #Informatik #Python #netCDF #HDF5...

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#HDF5 and #DASK are both supported in #skflow #TensorFlow! See examples in https://goo.gl/MSH3dr

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