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Presentation . 2026
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2026
License: CC BY
Data sources: Datacite
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Accessible sharing of large correlative image datasets

descriptionPublicationkeyboard_double_arrow_right Presentation 08 Jan 2026Publisher:Zenodo
Authors: Tischer, Christian;

doi: 10.5281/zenodo.18184328 , 10.5281/zenodo.18184329

Accessible sharing of large correlative image datasets

Abstract

This project has been made possible in part by grant number 2020- 225265 from the Chan Zuckerberg Initiative DAF, an advised fund of Silicon Valley Community Foundation.The project has been partially funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure – NFDI 46/1 – 501864659.

Presented at the 2025 International OME-NGFF symposium and workshop. https://www.biovisioncenter.uzh.ch/en/events/Upcoming-Events/2025-OME-NGFF-workshop.html

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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