Zarr illustrations by Henning Falk (August 2022)

These illustrations were contracted by Zarr, a NumFOCUS sponsored project, from Henning Falk and are free to re-use under a CC-BY license.

Attribution

Please include an attribution similar to: "Adam uploads" by Henning Falk, ©2022 NumFOCUS, is used under a CC BY 4.0 license. Modifications to this photo include cropping.

Citing the illustrations

Falk, H. zarr-developers/zarr-illustrations-falk-2022 | Zenodo [WWW Document], 2022. URL https://doi.org/10.5281/zenodo.7037367 (accessed 8.31.22).

Images by name

• Adam uploads
• Bea computes
• Clara shares
• FAIR re-use
• Kit's deluge
• Monolithic vs. chunked
• Multiple clients
• Navid zooms
• Qui downloads

"Adam uploads"

Adam staring at his screen waiting for the upload to complete.

• Hi-res PNG
• Original PDF

"Bea computes"

Bea running processing jobs from her laptop on a high-performance compute cluster.

• Hi-res PNG
• Original PDF

"Clara shares"

Clara transporting physical media to share her dataset with collaborators.

• Hi-res PNG
• Original PDF

"FAIR re-use"

FAIR sharing of data is beneficial for both data producers and consumers. Consumers gain access to interesting datasets that would otherwise be out of reach. Producers get citations to their work, when consumers publish their derivative work. OME-Zarr is the technology basis for enabling effective FAIR sharing of large image datasets.

• Hi-res PNG
• Original PDF

"Kit's deluge"

Kit talking to their therapist about data handling nightmares.

• Hi-res PNG
• Original PDF

"Monolithic vs. chunked"

Technical differences between monolithic and chunked file formats.

• Hi-res PNG
• Original PDF

"Multiple clients"

Several visualization tools already support OME-Zarr, including Fiji/Bigdataviewer/MoBIE, webKnossos and Neuroglancer. With OME-Zarr a selection of software tools and devices are able to access the same datasets from centralized storage.

• Hi-res PNG
• Original PDF

"Navid zooms"

Navid quickly zooming through a large dataset on his computer.

• Hi-res PNG
• Original PDF

"Qui downloads"

Qui talking about his experiences working with published data.

• Hi-res PNG
• Original PDF