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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
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 . 2020
License: CC BY
Data sources: Datacite
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Corpus of Pairwise Over-the-Phone Route Instructions (PROPRIS)

Authors: Krieger, Pauline; Meyer, Sebastian; Achmann, Michael; Kattenbeck, Markus;

Corpus of Pairwise Over-the-Phone Route Instructions (PROPRIS)

Abstract

This dataset is a corpus of German-language route instructions pairs of participants gave each other over-the-phone in an environment participants were unfamiliar in. It comprises 16 transcripts of conversations according to the HIAT guidelines, a QGIS project file containing all routes, demographics (age and gender), sense of direction data, BFI-60 aggregated values and a readme file.

This dataset was collected while Markus Kattenbeck was a member of the Information Science Department at the University of Regensburg.

Related Organizations
Keywords

route instructions, wayfinding, spoken-language, corpus

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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.
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influence
This indicator 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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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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