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ZENODO
Dataset . 2021
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
Data sources: Datacite
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bullinger-digital/gwalther-handwriting-ground-truth: Initial release

Authors: Stotz, Peter; Ströbel, Phillip;

bullinger-digital/gwalther-handwriting-ground-truth: Initial release

Abstract

This is ground truth for Ruolph Gwalther's (1519-1586) handwriting taken from his book "Lateinische" Gedichte", where he accumulated writings between 1540 and 1580. Data collection and ground truth creation: At the time we collected the data, we found 150 images with corresponding transcriptions by Peter Stotz on e-manuscripta (reference: Gwalther, Rudolf: Lateinische Gedichte. Zürich, 1540-1580. Zentralbibliothek Zürich, Ms D 152, https://doi.org/10.7891/e-manuscripta-26750 / Public Domain Mark) . We removed 8 images with too many corrections or vertical texts. Next, we uploaded the images into the Transkribus platform, applied the line recognition tool and manually copied the transcribed text lines into the recognised line boxes. During this process, we made some corrections, which were mainly due to inconsistencies in punctuation and capitalised letters. Key figures Language Latin Images 142 Lines 4,037 Words 26,088 Contact: Phillip Ströbel pstroebel@cl.uzh.ch - in case of questions

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Keywords

Digital Humanities, Handwriting, Latin, Handwritten Text Recognition, Reformation

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selected citations
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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).
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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!
views
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