Used in production by leaders across science and industry.
Peta-scale, from Earth observation to bio-imaging. Zarr is how teams move large arrays through cloud storage and analysis pipelines.
Earth science
CarbonPlan
Storage format for analysis and visualization of climate data.
ESA
Copernicus Sentinel data and future Expansion missions via the EOPF (Earth observation processing Framework).
LEAP
Data format for the LEAP-Pangeo data library used in climate-modeling analytics and machine learning.
NASA
Analysis-ready data store for chunked, N-dimensional arrays of geospatial data.
Pangeo
Cloud-native storage format for ocean, weather, climate, and geospatial data.
Unidata
Developing the netCDF libraries to support Zarr datasets across atmospheric and geoscientific communities.
LDEO
Lamont-Doherty Earth Observatory at Columbia.
NCAR
National Center for Atmospheric Research.
Bio-imaging
DANDI
Lightsheet microscopy and ex-vivo MRI datasets; backend candidate for Neurodata Without Borders.
HHMI Janelia
Storing and accessing large imaging datasets across the Janelia Research Campus.
OME
OME-Zarr stores large, n-dimensional biological images as part of the Next-generation file format (NGFF) effort.
scalable minds
Storing and processing peta-scale 3D images of brain tissue for connectomics analyses.
WEBKNOSSOS
Web-based platform for visualizing and collaboratively annotating large 3D images.
Other
Google Research
Open-source projects (Neuroglancer, TensorStore, Xarray-Beam, Xarray-TensorStore) and large-scale weather datasets such as ARCO-ERA5.
Microsoft Planetary Computer
Cloud-native storage format for chunked, N-dimensional arrays of geospatial data.
Columbia University
Research use across geosciences and computational climate.