Data from a Trial Trenching at Rocky Lane, Buckinghamshire, 2019-2022 (HS2 Phase One)

High Speed Two Ltd., INFRA Archaeology, 2023. https://doi.org/10.5284/1124521. 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/10.5284/1124521
Sample Citation for this DOI

High Speed Two Ltd., INFRA Archaeology (2023) Data from a Trial Trenching at Rocky Lane, Buckinghamshire, 2019-2022 (HS2 Phase One) [data-set]. York: Archaeology Data Service [distributor] https://doi.org/10.5284/1124521

Data copyright © High Speed Two Ltd. unless otherwise stated

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


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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/10.5284/1124521
Sample Citation for this DOI

High Speed Two Ltd., INFRA Archaeology (2023) Data from a Trial Trenching at Rocky Lane, Buckinghamshire, 2019-2022 (HS2 Phase One) [data-set]. York: Archaeology Data Service [distributor] https://doi.org/10.5284/1124521

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Object ID 2057770
Object Title Trench Sheets
File name 1C18RCLTT_TrenchSheets.pdf
Format PDF
Format Type Acrobat PDF 1.6 - Portable Document Format 1.6
Checksum 72f71049a29b44e9d05c1ad637a7cb9a
Created 07-Jan-2022
Last Modified 12-Jan-2022
File size 23 Mb
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