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.
"Bea computes"
Bea running processing jobs from her laptop on a high-performance compute cluster.
"Clara shares"
Clara transporting physical media to share her dataset with collaborators.
"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.
"Kit's deluge"
Kit talking to their therapist about data handling nightmares.
"Monolithic vs. chunked"
Technical differences between monolithic and chunked file formats.
"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.
"Navid zooms"
Navid quickly zooming through a large dataset on his computer.
"Qui downloads"
Qui talking about his experiences working with published data.