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ZENODO
Software . 2024
License: CC 0
Data sources: ZENODO
ZENODO
Software . 2024
License: CC 0
Data sources: Datacite
ZENODO
Software . 2024
License: CC 0
Data sources: Datacite
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ERC-TibSchol/image-segmentation: v.1

Authors: Griffiths, Rachael;

ERC-TibSchol/image-segmentation: v.1

Abstract

Initial release of "image segmentation" on Zenodo. These codes allow one to cut an input image into two or four equal horizontal segments and save them as separate images. These scripts were created for the ERC project The Dawn of Tibetan Buddhist Scholasticism (11th-13th c.) (TibSchol). Cf. https://www.oeaw.ac.at/projects/tibschol for more information. This project, hosted at the Institute for Cultural and Intellectual History of Asia of the Austrian Academy of Sciences, has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 101001002). See https://cordis.europa.eu/project/id/101001002.

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    popularity
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    influence
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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