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use by external clients under license; and / or (ii) the dataset contains 3rd party data or information obtained by BGS under terms and conditions that must be consulted before the dataset can be provided to, or accessed by, BGS staff or external clients. Refer to the BGS staff member responsible for the creation of the dataset if further advice is required. He / she should be familiar with the composition of the dataset, particularly with regard to 3rd party IPR contained in it, and any resultant access restrictions. This staff member should revert to the IPR Section (IPR@bgs.ac.uk) for advice, should the position not be clear.</gmx:Anchor>\r\n          </gmd:otherConstraints>\r\n        </gmd:MD_LegalConstraints>\r\n      </gmd:resourceConstraints>\r\n      <gmd:resourceConstraints>\r\n        <gmd:MD_LegalConstraints>\r\n          <gmd:useConstraints>\r\n            <gmd:MD_RestrictionCode codeList=\"https://schemas.isotc211.org/schemas/19139/resources/codelist/gmxCodelists.xml#MD_RestrictionCode\" codeListValue=\"otherRestrictions\">otherRestrictions</gmd:MD_RestrictionCode>\r\n          </gmd:useConstraints>\r\n          <gmd:otherConstraints>\r\n            <gco:CharacterString>The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.</gco:CharacterString>\r\n          </gmd:otherConstraints>\r\n          <gmd:otherConstraints>\r\n            <gco:CharacterString>The dataset is made available to external clients under BGS Digital Data Licence terms and conditions. Revert to the IPR Section (iprdigital@bgs.ac.uk) if further advice is required with regard to permitted usage.</gco:CharacterString>\r\n          </gmd:otherConstraints>\r\n        </gmd:MD_LegalConstraints>\r\n      </gmd:resourceConstraints>\r\n      <gmd:spatialRepresentationType gco:nilReason=\"unknown\" />\r\n      <gmd:spatialResolution>\r\n        <gmd:MD_Resolution>\r\n          <gmd:equivalentScale>\r\n            <gmd:MD_RepresentativeFraction>\r\n              <gmd:denominator>\r\n                <gco:Integer>50000</gco:Integer>\r\n              </gmd:denominator>\r\n            </gmd:MD_RepresentativeFraction>\r\n          </gmd:equivalentScale>\r\n        </gmd:MD_Resolution>\r\n      </gmd:spatialResolution>\r\n      <gmd:language>\r\n        <gmd:LanguageCode codeList=\"http://www.loc.gov/standards/iso639-2/php/code_list.php\" codeListValue=\"eng\">English</gmd:LanguageCode>\r\n      </gmd:language>\r\n      <gmd:topicCategory>\r\n        <gmd:MD_TopicCategoryCode>geoscientificInformation</gmd:MD_TopicCategoryCode>\r\n      </gmd:topicCategory>\r\n      <gmd:extent>\r\n        <gmd:EX_Extent>\r\n          <gmd:geographicElement>\r\n            <gmd:EX_GeographicDescription>\r\n              <gmd:geographicIdentifier>\r\n                <gmd:MD_Identifier>\r\n                  <gmd:authority>\r\n                    <gmd:CI_Citation>\r\n                      <gmd:title>\r\n                        <gco:CharacterString>ISO 3166_2</gco:CharacterString>\r\n                      </gmd:title>\r\n                      <gmd:date>\r\n                        <gmd:CI_Date>\r\n                          <gmd:date>\r\n                            <gco:Date>2009</gco:Date>\r\n                          </gmd:date>\r\n                          <gmd:dateType>\r\n                            <gmd:CI_DateTypeCode codeList=\"https://schemas.isotc211.org/schemas/19139/resources/codelist/gmxCodelists.xml#CI_DateTypeCode\" codeListValue=\"revision\">revision</gmd:CI_DateTypeCode>\r\n                          </gmd:dateType>\r\n                        </gmd:CI_Date>\r\n                      </gmd:date>\r\n                    </gmd:CI_Citation>\r\n                  </gmd:authority>\r\n                  <gmd:code>\r\n                    <gco:CharacterString>GBN</gco:CharacterString>\r\n                  </gmd:code>\r\n                </gmd:MD_Identifier>\r\n              </gmd:geographicIdentifier>\r\n            </gmd:EX_GeographicDescription>\r\n          </gmd:geographicElement>\r\n          <gmd:geographicElement>\r\n            <gmd:EX_GeographicDescription>\r\n              <gmd:geographicIdentifier>\r\n                <gmd:MD_Identifier>\r\n                  <gmd:authority>\r\n                    <gmd:CI_Citation>\r\n                      <gmd:title>\r\n                        <gco:CharacterString>British Geological Survey Gazetteer: Geographical hierarchy from Geosaurus</gco:CharacterString>\r\n                      </gmd:title>\r\n                      <gmd:date>\r\n                        <gmd:CI_Date>\r\n                          <gmd:date>\r\n                            <gco:Date>1979</gco:Date>\r\n                          </gmd:date>\r\n                          <gmd:dateType>\r\n                            <gmd:CI_DateTypeCode codeList=\"https://schemas.isotc211.org/schemas/19139/resources/codelist/gmxCodelists.xml#CI_DateTypeCode\" codeListValue=\"creation\">creation</gmd:CI_DateTypeCode>\r\n                          </gmd:dateType>\r\n                        </gmd:CI_Date>\r\n                      </gmd:date>\r\n                    </gmd:CI_Citation>\r\n                  </gmd:authority>\r\n                  <gmd:code>\r\n                    <gco:CharacterString>GREAT BRITAIN [id=139600]</gco:CharacterString>\r\n                  </gmd:code>\r\n                </gmd:MD_Identifier>\r\n              </gmd:geographicIdentifier>\r\n            </gmd:EX_GeographicDescription>\r\n          </gmd:geographicElement>\r\n          <gmd:geographicElement>\r\n            <gmd:EX_GeographicBoundingBox>\r\n              <gmd:westBoundLongitude>\r\n                <gco:Decimal>-8.6500</gco:Decimal>\r\n              </gmd:westBoundLongitude>\r\n              <gmd:eastBoundLongitude>\r\n                <gco:Decimal>1.7800</gco:Decimal>\r\n              </gmd:eastBoundLongitude>\r\n              <gmd:southBoundLatitude>\r\n                <gco:Decimal>49.7700</gco:Decimal>\r\n              </gmd:southBoundLatitude>\r\n              <gmd:northBoundLatitude>\r\n                <gco:Decimal>60.8600</gco:Decimal>\r\n              </gmd:northBoundLatitude>\r\n            </gmd:EX_GeographicBoundingBox>\r\n          </gmd:geographicElement>\r\n          <gmd:temporalElement>\r\n            <gmd:EX_TemporalExtent>\r\n              <gmd:extent>\r\n                <gml:TimePeriod gml:id=\"_fb63712e-949a-4a3a-b1f7-780f40f175d3\">\r\n                  <gml:beginPosition>2007</gml:beginPosition>\r\n                  <gml:endPosition>2011</gml:endPosition>\r\n                </gml:TimePeriod>\r\n              </gmd:extent>\r\n            </gmd:EX_TemporalExtent>\r\n          </gmd:temporalElement>\r\n        </gmd:EX_Extent>\r\n      </gmd:extent>\r\n      <gmd:supplementalInformation>\r\n        <gco:CharacterString>The method by which this dataset was produced is published in: MILES, J.C.H, and APPLETON J.D., 2005. Mapping variation in radon potential both between and within geological units. Journal of Radiological Protection 25, 257-276. A simplified version of the full data set for England and Wales (showing only the maximum radon potential in each 1-km grid square) was published in 2007 (MILES J.C.H, APPLETON J.D, REES D.M, GREEN B.M.R, ADLAM K.A.M and MYERS, A.H., 2007. Indicative Atlas of Radon in England and Wales. HPA-RPD-033, ISBN: 978-0-85951-608-2. 29 pp). A simplified version of the full data set for Scotland (showing only the maximum radon potential in each 1-km grid square) was published in 2011 (MILES J.C.H, APPLETON J.D, REES D.M, ADLAM K.A.M, GREEN B.M.R, and SCHEIB, C., 2011. Indicative Atlas of Radon in Scotland. HPA-CRCE-023, ISBN: 978 0 85951-701-0 27 pp). Searches of the full dataset are available by postcode from www.UKradon.org or by site area from the BGS Enquiries service. A summary of the relationship between radon and geology in Wales is available in APPLETON, J.D. and MILES, J.C.H. 2005. Radon in Wales. pp. 117-130 In: Bassett, M.G., Deisler, V.K., Nichol, D. (Eds.), Urban Geology of Wales 2. National Museum of Wales Geological Series No. 24, Cardiff. A summary of the relationship between radon and geology in Scotland is available in SCHEIB C, APPLETON J D, MILES J C H, GREEN B M R, BARLOW T S, JONES D G 2009 Geological controls on radon potential in Scotland. 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<gmd:URL>https://www.bgs.ac.uk/datasets/radon-data-radon-potential-dataset/</gmd:URL>\r\n              </gmd:linkage>\r\n              <gmd:protocol>\r\n                <gco:CharacterString>WWW:LINK-1.0-http--link</gco:CharacterString>\r\n              </gmd:protocol>\r\n              <gmd:name>\r\n                <gco:CharacterString>BGS Datasets - Radon potential</gco:CharacterString>\r\n              </gmd:name>\r\n              <gmd:description>\r\n                <gco:CharacterString>Resource page for the dataset with contact and licensing details.</gco:CharacterString>\r\n              </gmd:description>\r\n              <gmd:function>\r\n                <gmd:CI_OnLineFunctionCode codeList=\"https://schemas.isotc211.org/schemas/19139/resources/codelist/gmxCodelists.xml#CI_OnLineFunctionCode\" codeListValue=\"offlineAccess\">offlineAccess</gmd:CI_OnLineFunctionCode>\r\n              </gmd:function>\r\n            </gmd:CI_OnlineResource>\r\n          </gmd:onLine>\r\n        </gmd:MD_DigitalTransferOptions>\r\n      </gmd:transferOptions>\r\n    </gmd:MD_Distribution>\r\n  </gmd:distributionInfo>\r\n  <gmd:dataQualityInfo>\r\n    <gmd:DQ_DataQuality>\r\n      <gmd:scope>\r\n        <gmd:DQ_Scope>\r\n          <gmd:level>\r\n            <gmd:MD_ScopeCode codeList=\"https://schemas.isotc211.org/schemas/19139/resources/codelist/gmxCodelists.xml#MD_ScopeCode\" codeListValue=\"dataset\">dataset</gmd:MD_ScopeCode>\r\n          </gmd:level>\r\n          <gmd:levelDescription>\r\n            <gmd:MD_ScopeDescription>\r\n              <gmd:other>\r\n                <gco:CharacterString>dataset</gco:CharacterString>\r\n              </gmd:other>\r\n            </gmd:MD_ScopeDescription>\r\n          </gmd:levelDescription>\r\n        </gmd:DQ_Scope>\r\n      </gmd:scope>\r\n      <gmd:report>\r\n        <gmd:DQ_DomainConsistency>\r\n          <gmd:result>\r\n            <gmd:DQ_ConformanceResult>\r\n              <gmd:specification>\r\n                <gmd:CI_Citation>\r\n                  <gmd:title>\r\n                    <gco:CharacterString>INSPIRE Implementing rules laying down technical arrangements for the interoperability and harmonisation of Geology</gco:CharacterString>\r\n                  </gmd:title>\r\n                  <gmd:date>\r\n                    <gmd:CI_Date>\r\n                      <gmd:date>\r\n                        <gco:Date>2011</gco:Date>\r\n                      </gmd:date>\r\n                      <gmd:dateType>\r\n                        <gmd:CI_DateTypeCode codeList=\"https://schemas.isotc211.org/schemas/19139/resources/codelist/gmxCodelists.xml#CI_DateTypeCode\" codeListValue=\"publication\">publication</gmd:CI_DateTypeCode>\r\n                      </gmd:dateType>\r\n                    </gmd:CI_Date>\r\n                  </gmd:date>\r\n                </gmd:CI_Citation>\r\n              </gmd:specification>\r\n              <gmd:explanation>\r\n                <gco:CharacterString>See the referenced specification</gco:CharacterString>\r\n              </gmd:explanation>\r\n              <gmd:pass>\r\n                <gco:Boolean>false</gco:Boolean>\r\n              </gmd:pass>\r\n            </gmd:DQ_ConformanceResult>\r\n          </gmd:result>\r\n        </gmd:DQ_DomainConsistency>\r\n      </gmd:report>\r\n      <gmd:report>\r\n        <gmd:DQ_DomainConsistency>\r\n          <gmd:result>\r\n            <gmd:DQ_ConformanceResult>\r\n              <gmd:specification>\r\n                <gmd:CI_Citation>\r\n                  <gmd:title>\r\n                    <gco:CharacterString>Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services</gco:CharacterString>\r\n                  </gmd:title>\r\n                  <gmd:date>\r\n                    <gmd:CI_Date>\r\n                      <gmd:date>\r\n                        <gco:Date>2010-12-08</gco:Date>\r\n                      </gmd:date>\r\n                      <gmd:dateType>\r\n                        <gmd:CI_DateTypeCode codeList=\"https://schemas.isotc211.org/schemas/19139/resources/codelist/gmxCodelists.xml#CI_DateTypeCode\" codeListValue=\"publication\">publication</gmd:CI_DateTypeCode>\r\n                      </gmd:dateType>\r\n                    </gmd:CI_Date>\r\n                  </gmd:date>\r\n                </gmd:CI_Citation>\r\n              </gmd:specification>\r\n              <gmd:explanation>\r\n                <gco:CharacterString>See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF</gco:CharacterString>\r\n              </gmd:explanation>\r\n              <gmd:pass>\r\n                <gco:Boolean>false</gco:Boolean>\r\n              </gmd:pass>\r\n            </gmd:DQ_ConformanceResult>\r\n          </gmd:result>\r\n        </gmd:DQ_DomainConsistency>\r\n      </gmd:report>\r\n      <gmd:lineage>\r\n        <gmd:LI_Lineage>\r\n          <gmd:statement>\r\n            <gco:CharacterString>The Radon Potential GB dataset is derived by combining a simplified version of the geology of Great Britain (BGS DiGMapGB 50 version 3.14 now known as BGS Geology 50) with indoor radon measurement data collected by the Health Protection Agency (now known as Public Health England (PHE)). The land area is first divided up into simplified geologies, a combination of bedrock and superficial geological characteristics, derived from BGS DiGMapGB 50 (1: 50 000 scale) digital geological map. A code bedrock/superficial (BS) code is assigned to each combined geology. Each different simplified geology may appear at the land surface in many discontinuous locations across the country. Each simplified geology is then divided in 1 Km squares by using the OS British National Grid. From this division results a list of spatially referenced KMBS (a simplification of 1 Km2 / BS) polygons containing information about both the simplified geology and the BNG 1km square. Public Health England has a database of houses in which long-term (3 to 6 months) measurements of radon concentration have been made, and whose locations are accurately known. Each of these measurements is allocated to the underlying geological polygon followed by actual measurements' coordinates stripping off. This procedure allows for anonymization of house data. Taking each simplified geology in turn, the spatial variation of radon potential is mapped, treating the geology as if it were continuous over the land area. Bedrock, stratigraphic (order in which rock layers are laid down) or lithological (rock characteristics) generalisations of the simplified geologies may be required to assure that the number of radon measurements is enough to estimation the radon potential. All of the maps of radon potential within different simplified geologies are then combined to produce a map of variation in radon potential over the whole land surface. This dataset formed the raw data on which processing was carried out to ensure all end-users would achieve consistent results. All data processing was carried out using ESRI ArcGIS 9.3.1 software.</gco:CharacterString>\r\n          </gmd:statement>\r\n        </gmd:LI_Lineage>\r\n      </gmd:lineage>\r\n    </gmd:DQ_DataQuality>\r\n  </gmd:dataQualityInfo>\r\n</gmd:MD_Metadata>"
  }
}