Digital Object Identifiers (DOIs) are persistent identifiers which can be used to consistently and accurately reference digital objects and/or content. The DOIs provide a way for the ADS resources to be cited in a similar fashion to traditional scholarly materials. More information on DOIs at the ADS can be found on our help page.
The updated Crossref DOI Display guidelines recommend that DOIs should be displayed in the following format:
https://doi.org/10.5284/1000248
Durham University (2005) Breaking Through Rock Art Recording: 3D laser scanning of megalithic rock art [data-set]. York: Archaeology Data Service [distributor] https://doi.org/10.5284/1000248
Data copyright © Durham University unless otherwise stated
This work is licensed under the ADS Terms of Use and Access.
Dr
Margarita
Diaz-Andreu
Department of Archaeology
Durham University
South Road
Durham
DH1 3LE
England
Tel: 0191 3341127
Fax: 0191 3341101
Digital Object Identifiers (DOIs) are persistent identifiers which can be used to consistently and accurately reference digital objects and/or content. The DOIs provide a way for the ADS resources to be cited in a similar fashion to traditional scholarly materials. More information on DOIs at the ADS can be found on our help page.
The updated Crossref DOI Display guidelines recommend that DOIs should be displayed in the following format:
https://doi.org/10.5284/1000248
Durham University (2005) Breaking Through Rock Art Recording: 3D laser scanning of megalithic rock art [data-set]. York: Archaeology Data Service [distributor] https://doi.org/10.5284/1000248
Screen shots of the 3D laser scanning data are available for each stone that was scanned. Images have been created both of the decimated point cloud data and of the solid model produced from this data. These images are simple screen grabs taken when viewing the vtk data in a 3D visualisation package such as Paraview.
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This archive was one of the case studies for the English Heritage funded Big Data Project. To find out more about the project go to the Big Data Project Web Pages