Denisova 11 Human Bone Fragment

Fiona Brock, Thomas Higham, 2018. https://doi.org/10.5284/1047219. How to cite using this DOI

Digital Object Identifiers

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.

Citing this DOI

The updated Crossref DOI Display guidelines recommend that DOIs should be displayed in the following format:

https://doi.org/10.5284/1047219
Sample Citation for this DOI

Fiona Brock, Thomas Higham (2018) Denisova 11 Human Bone Fragment [data-set]. York: Archaeology Data Service [distributor] https://doi.org/10.5284/1047219

Data copyright © Prof Thomas Higham unless otherwise stated

This work is licensed under the ADS Terms of Use and Access.
Creative Commons License


European Research Council logo

Primary contact

Prof Thomas Higham
Deputy Director
Oxford Radiocarbon Accelerator Unit
University of Oxford
Dyson Perrins Building
South Parks Road
OX1 3QY
UK

Send e-mail enquiry

Resource identifiers

Digital Object Identifiers

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.

Citing this DOI

The updated Crossref DOI Display guidelines recommend that DOIs should be displayed in the following format:

https://doi.org/10.5284/1047219
Sample Citation for this DOI

Fiona Brock, Thomas Higham (2018) Denisova 11 Human Bone Fragment [data-set]. York: Archaeology Data Service [distributor] https://doi.org/10.5284/1047219

University of Oxford logo

Downloads

Images | Models | ZooMS Dataset

Images

The CT scan images are available in JPG format for three different views: Front, Right and Top.

CT Scan - Front Slices ZIP 37 Mb
CT Scan - Right Slices ZIP 36 Mb
CT Scan - Top Slices ZIP 43 Mb

ADS logo
Data Org logo
University of York logo