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OME-Zarr Open SciVis Datasets

biology computed tomography image processing imaging life sciences magnetic resonance imaging neuroimaging neuroscience volumetric imaging zarr

Description

This project provides the Open SciVis Datasets in a chunked, highly-compressed, multi-scale format, encodes metadata in JSON according to the OME-Zarr specification, and hosts the datasets on AWS S3 through the AWS Open Data Program, aiming to serve as a web-based resource for the scientific visualization community to enhance reproducibility and facilitate testing and development of OME-Zarr tools.

Update Frequency

On a biannual basis we update the datasets and sync with OME-Zarr standards.

License

CC-BY-4.0 unless otherwise specified

Documentation

https://github.com/InsightSoftwareConsortium/OMEZarrOpenSciVisDatasets

Managed By

NumFOCUS

See all datasets managed by NumFOCUS.

Contact

Matt McCormick matt@mmmccormick.com

How to Cite

OME-Zarr Open SciVis Datasets was accessed on DATE from https://registry.opendata.aws/ome-zarr-open-scivis.

Usage Examples

Tutorials
Tools & Applications
Publications
  • OME-NGFF: a next-generation file format for expanding bioimaging data-access strategies by Josh Moore, Chris Allan, Sébastien Besson, Jean-Marie Burel, Erin Diel, David Gault, Kevin Kozlowski, Dominik Lindner, Melissa Linkert, Trevor Manz, Will Moore, Constantin Pape, Christian Tischer & Jason R. Swedlow
  • OME-Zarr: a cloud-optimized bioimaging file format with international community support by Josh Moore, Daniela Basurto-Lozada, Sébastien Besson, John Bogovic, Jordão Bragantini, Eva M. Brown, Jean-Marie Burel, Xavier Casas Moreno, Gustavo de Medeiros, Erin E. Diel, David Gault, Satrajit S. Ghosh, Ilan Gold, Yaroslav O. Halchenko, Matthew Hartley, Dave Horsfall, Mark S. Keller, Mark Kittisopikul, Gabor Kovacs, Aybüke Küpcü Yoldaş, Koji Kyoda, Albane le Tournoulx de la Villegeorges, Tong Li, Prisca Liberali, Dominik Lindner, Melissa Linkert, Joel Lüthi, Jeremy Maitin-Shepard, Trevor Manz, Luca Marconato, Matthew McCormick, Merlin Lange, Khaled Mohamed, William Moore, Nils Norlin, Wei Ouyang, Bugra Özdemir, Giovanni Palla, Constantin Pape, Lucas Pelkmans, Tobias Pietzsch, Stephan Preibisch, Martin Prete, Norman Rzepka, Sameeul Samee, Nicholas Schaub, Hythem Sidky, Ahmet Can Solak, David R. Stirling, Jonathan Striebel, Christian Tischer, Daniel Toloudis, Isaac Virshup, Petr Walczysko, Alan M. Watson, Erin Weisbart, Frances Wong, Kevin A. Yamauchi, Omer Bayraktar, Beth A. Cimini, Nils Gehlenborg, Muzlifah Haniffa, Nathan Hotaling, Shuichi Onami, Loic A. Royer, Stephan Saalfeld, Oliver Stegle, Fabian J. Theis & Jason R. Swedlow
  • Open SciVis Datasets by Pavol Klacansky

Resources on AWS

  • Description
    OME-Zarr Open SciVis Datasets
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::ome-zarr-scivis
    AWS Region
    us-east-1
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://ome-zarr-scivis/

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