five

Inscriptions of Roman Tripolitania 2021: The images

收藏
DataCite Commons2025-04-23 更新2025-05-10 收录
下载链接:
https://www.repository.cam.ac.uk/handle/1810/383206
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset is one of the constituent elements of the publication Inscriptions of Roman Tripolitania (2021), by J. M. Reynolds, C. M. Roueché, G. Bodard, C. Barron and others available at: http://irt2021.inslib.kcl.ac.uk The majority of the images provided for IRT are those taken by John Ward Perkins in 1948-1952, now held at the British School at Rome, where they can be consulted (https://ipervisions.bsrdigitalcollections.it/irt/). The images here are those which have been added to that collection, largely provided by colleagues who have worked in Tripolitania in the intervening period. The largest number were provided by Ignazio Tantillo (Tantillo.zip) and Francesc Bigi (Bigi.zip) from their work in Lepcis in 2008-2010 (see bibliography); others were provided by Michael Mackensen from his work at Gheriatel-Garbia (Mackensen.zip). The images provided by Philp Kenrick (Kenrick .zip) can also be accessed in the Libyan Studies Photographic Library (https://www.flickr.com/photos/societyforlibyanstudies/albums). The remainder are drawn by the editors from a variety of sources (Miscellaneous.zip) Temporal coverage: 50 BCE - 1100 CE Geospatial coverage: Tripolitania (Western Libya) Data collection from date: 1948 Data collection to date: 2020 Collection method: Almost all the texts were copied by the scholars who published them. Language: English This is a copy of the dataset held in the King's College London research data repository at https://doi.org/10.18742/19312202. The work was a collaboration between Charlotte Roueché at King's and the late Joyce Reynolds at University of Cambridge, whose archived papers can be found at https://archivesearch.lib.cam.ac.uk/repositories/30/resources/14134
提供机构:
Apollo - University of Cambridge Repository
创建时间:
2025-04-23
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作