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The dataset contains 81,883 cleaned and streamlined Latin inscriptions from the Epigraphic Database Heidelberg (EDH, https://edh-www.adw.uni-heidelberg.de, License https://creativecommons.org/licenses/by-sa/4.0/), aggregated on 2022/11/03, created for the purpose of a quantitative study of epigraphic trends by the Social Dynamics in the Ancient Mediterranean Project (SDAM, http://sdam.au.dk). The full lifecycle of the transformation process, including programmatical access, modifications, and streamlining of the original dataset is documented by a sequence of Python and R scripts (https://github.com/sdam-au/EDH_ETL). The dataset is stored as a JSON file, ensuring compatibility both with Python and R. The scripts used to generate the dataset and their metadata are available via GitHub: https://github.com/sdam-au/EDH_ETL.
Latin, inscriptions, digital epigraphy, epigraphy
Latin, inscriptions, digital epigraphy, epigraphy
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 12 | |
| downloads | 9 |

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Downloads provided by UsageCounts