Data from a Building Survey at Parkway Tunnel and Cutting, Camden, 2020-2021 (HS2 Phase One)

High Speed Two Ltd., Mott MacDonald, 2023. https://doi.org/10.5284/1120843. How to cite using this DOI

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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/10.5284/1120843
Sample Citation for this DOI

High Speed Two Ltd., Mott MacDonald (2023) Data from a Building Survey at Parkway Tunnel and Cutting, Camden, 2020-2021 (HS2 Phase One) [data-set]. York: Archaeology Data Service [distributor] https://doi.org/10.5284/1120843

Data copyright © High Speed Two Ltd. unless otherwise stated

This work is licensed under a The Open Government Licence (OGL).


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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/10.5284/1120843
Sample Citation for this DOI

High Speed Two Ltd., Mott MacDonald (2023) Data from a Building Survey at Parkway Tunnel and Cutting, Camden, 2020-2021 (HS2 Phase One) [data-set]. York: Archaeology Data Service [distributor] https://doi.org/10.5284/1120843

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Object ID 2105909
Object Title Model of Parkway Tunnel South Portal, source images
File name Parkway_Tunnel_South_Portal.zip
Format ZIP
Format Type ZIP Format
Checksum b444eed2daf18bf99dc7b50b4e0fce0f
Created 01-Oct-2021
Last Modified 23-Nov-2021
File size 541 Mb
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Associated Metadata:

3D metadata XLSX 60 Kb

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