Quaternary deposits thickness across the UK Continental Shelf (2014 Version)
| Dataset title | Quaternary deposits thickness across the UK Continental Shelf (2014 Version) |
|---|---|
| Dataset creators | British Geological Survey |
| Dataset theme | Geoscientific Information |
| Dataset abstract |
The Quaternary deposits thickness dataset is a digital geological map across the bulk of the UK Continental Shelf (UKCS), for areas up to a water depth of 200m, which shows the thickness of the deposits over bedrock in three categories: <h;5m, 5-50m, and >h;50m Quaternary cover. These depth bands were picked because they represent the horizons that have impact on offshore infrastructure deployment. The map is derived from (unpublished) BGS 1:1000000 scale Quaternary digital geological mapping. The map was produced in 2014 in collaboration with, and co-funded by, The Crown Estate as part of a wider commissioned project to assess seabed geological constraints on engineering infrastructure across the UKCS. The data are held by the BGS as an ESRI ArcGIS Shapefile. |
| Dataset content dates | Before 2014 |
| Dataset spatial coverage | UK Continental Shelf |
| Dataset supply format | ESRI ArcGIS Shapefile |
| Dataset language | English-United Kingdom |
| Dataset discovery metadata record | Discovery Link to the dataset's BGS Discovery Metadata record |
| Dataset publisher | NERC EDS National Geoscience Data Centre |
| Dataset publication date | 5th March 2022 |
| Dataset digital object identifier(DOI) | 10.5285/0cc60652-c02c-4931-b5bf-def9299b68f2 |
| Dataset citation text | British Geological Survey. (2022). Quaternary deposits thickness across the UK Continental Shelf (2014 Version). NERC EDS National Geoscience Data Centre. (Dataset). https://doi.org/10.5285/0cc60652-c02c-4931-b5bf-def9299b68f2 |
| Constraints and terms of use | This data set is available under Open Government Licence, subject to the following acknowledgement accompanying any reproduced materials: "Contains data supplied by permission of the Natural Environment Research Council [YEAR]". |
| Access the dataset | https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item172373 |