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Dataset . 2020
License: CC BY
Data sources: Datacite
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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
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East Asian calendar conversion database

Authors: Bingenheimer, Marcus; Hung, Jen-jou; Wiles, Simon; Chang, Po-yung;

East Asian calendar conversion database

Abstract

SQL dump (MySQL 5.x) from a database for converting East Asian (here: Chinese, Japanese, Korean) calendars. The data is also available for download at http://authority.dila.edu.tw/docs/open_content/download.php, where separate datasets for Chinese, Korean, and Japanese calendars are available. An interface for querying the data is here: http://authority.dila.edu.tw/time/. Using the Julian Day as common standard it allows mapping of East Asian calendar dates to the Julian, proleptic Gregorian, and Gregorian calendar. It is the currently largest and most detailed open access dataset for this purpose. The database was compiled between 2008 and 2011 at the Dharma Drum Institute of Liberal Arts, Jinshan, Taiwan. The data for the Japanese calendar is based on material provided by Takashi Suga. A publication describing the dataset is Marcus BINGENHEIMER, Jen-Jou HUNG, Simon WILES, Boyong ZHANG. “Modeling East Asian Calendars in an Open Source Authority Database.” International Journal of Humanities and Arts Computing Vol. 10-2, pp. 127-144. DOI: 10.3366/ijhac.2016.0164.

{"references": ["Marcus BINGENHEIMER, Jen-Jou HUNG, Simon WILES, Boyong ZHANG. \"Modeling East Asian Calendars in an Open Source Authority Database.\"\u00a0International Journal of Humanities and Arts Computing\u00a0Vol. 10-2, pp. 127-144. DOI: 10.3366/ijhac.2016.0164."]}

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Keywords

calendar conversion, east asian calendars, Chinese calendar, Japanese calendar, Korean calendar

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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
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