Land at Middle Hill, Chalford, Gloucestershire: Magnetometer Survey Report (OASIS ID: archaeol20-369553)

David Sabin, Kerry Donaldson, 2019. https://doi.org/10.5284/1058977. How to cite using this DOI

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https://doi.org/10.5284/1058977
Sample Citation for this DOI

David Sabin, Kerry Donaldson (2019) Land at Middle Hill, Chalford, Gloucestershire: Magnetometer Survey Report (OASIS ID: archaeol20-369553) [data-set]. York: Archaeology Data Service [distributor] https://doi.org/10.5284/1058977

Data copyright © Kerry Donaldson, David Sabin unless otherwise stated

This work is licensed under a Creative Commons Attribution 4.0 International License.
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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/10.5284/1058977
Sample Citation for this DOI

David Sabin, Kerry Donaldson (2019) Land at Middle Hill, Chalford, Gloucestershire: Magnetometer Survey Report (OASIS ID: archaeol20-369553) [data-set]. York: Archaeology Data Service [distributor] https://doi.org/10.5284/1058977

Introduction

Land at Middle Hill, Chalford, Gloucestershire: Magnetometer Survey Report (OASIS ID: archaeol20-369553)

Detailed magnetometry was carried out over a 1.4ha parcel of land at Middle Hill, Chalford in Gloucestershire. The north eastern part of the field has been outlined for a potential residential development covering 0.8ha. The results indicate the presence of a possible former track or footpath extending through the south eastern corner of the site. A number of positive and negative linear anomalies have also been located; however, the majority of these relate to low and shallow features seen within LiDAR data imagery. Numerous and widespread discrete positive and curvilinear responses relate to soil filled features within the underlying shallow geology.


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