Contributors: Christoph Gohlke

Name: Christoph Gohlke
Login: cgohlke
Email: [email protected]
OST Projects: 1
Languages: Python
Categories: Climate Change
Sub Categories: Climate Data Standards
Topics: format-reader, imagej, life-sciences-image, ome-tiff, tiff, whole-slide-imaging, zarr, compressed, ndimensional-arrays, gdal, wheels, chemistry, mass-spectrometry, geospatial-data, flim, fluorescence-microscopy-imaging, image-analysis, phasor, chimera, hdf5, image-converter, aec, avif, jpeg, jpeg-ls, jpeg2000, jpegxl, jpegxr, lerc, lz4, lzf, lzma, lzw, packbits, png, webp, zfp, camera-control, olympus, netpbm, photoshop, psd, fluorescence-lifetime-spectroscopy, photon-counting, matrix, quaternion, file-format, pil, pillow

Contributed Projects

Zarr

Provides an efficient, scalable, and flexible way to store and access large, multi-dimensional arrays, the core data format used in climate models and observational datasets.

compressed ndimensional-arrays python zarr

Climate Change - Climate Data Standards - Last synced: 16 Jun 2025 - Ranking: 28.0