{"help":"Return the metadata of a dataset (package) and its resources. :param id: the id or name of the dataset :type id: string","success":true,"result":[{"id":"10884675-1f98-4996-b0c4-1de41887ff3f","name":"contaminant-and-biological-effect-data-1999-2017-2018-csemp-assessment","title":"Contaminant and biological effect data 1999-2017 for the 2018 CSEMP assessment ","maintainer":"Scottish Government - Marine Directorate Data Publications","maintainer_email":"marinedirectorate@gov.scot","notes":"\u003Cp\u003EThe 2018 assessment of the UK\u0027s Clean Seas Environment Monitoring Programme described the status and trends of contaminant concentrations and biological effects measurements in biota and sediment at monitoring stations in waters around the UK. Assessments were made for a large number of time series, typically each of a single contaminant in a single species (for biota) at a single monitoring station. The results of the individual time series at coastal and offshore stations were synthesised to assess status and trends at the biogeographic regional level.\u003C\/p\u003E\n","url":"https:\/\/data.marine.gov.scot\/dataset\/contaminant-and-biological-effect-data-1999-2017-2018-csemp-assessment","state":"Active","log_message":"Update to resource \u0027Property title\u0027","private":true,"revision_timestamp":"Tue, 01\/07\/2020 - 16:21","metadata_created":"Tue, 08\/13\/2019 - 13:59","metadata_modified":"Tue, 01\/07\/2020 - 16:21","creator_user_id":"218af04f-a391-4ecf-ad98-c91fd32c2b17","type":"Dataset","resources":[{"id":"8b856cfb-0d27-4e32-8e73-f55026503eed","revision_id":"","url":"https:\/\/data.marine.gov.scot\/sites\/default\/files\/\/biota_data_4.csv","description":"\u003Cp\u003EThe variables in biota_data.csv describe the contaminant and biological effect data in biota used in the 2018 assessment of the UK\u0027s Clean Seas Environment Monitoring Programme. The column headers are:\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EseriesID\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: timeseries identifier\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: 5580\u003Cbr \/\u003E\nNote: identifies the data (typically a station \/ contaminant \/ species combination) that were grouped together into a timeseries and modelled to assess status and trends\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Estation\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: station identifier\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: 276\u003Cbr \/\u003E\nNote: monitoring station \u2013 links to station information in biota_stations.csv\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Especies\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: species\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: 12\u003Cbr \/\u003E\nNote:\u003Cbr \/\u003E\nCerastoderma edule: AphiaID = 138998\u003Cbr \/\u003E\nCrassostrea gigas:  AphiaID = 140656\u003Cbr \/\u003E\nGadus morhua:       AphiaID = 126436\u003Cbr \/\u003E\nLimanda limanda:    AphiaID = 127139\u003Cbr \/\u003E\nMerlangius merlangus:   AphiaID = 126438\u003Cbr \/\u003E\nMytilus edulis:     AphiaID = 140480\u003Cbr \/\u003E\nNucella lapillus:   AphiaID = 140403\u003Cbr \/\u003E\nPlatichthys flesus: AphiaID = 127141\u003Cbr \/\u003E\nPleuronectes platessa:  AphiaID = 127143\u003Cbr \/\u003E\nScomber scombrus:   AphiaID = 127023\u003Cbr \/\u003E\nSpisula solidissima:    AphiaID = 156996\u003Cbr \/\u003E\nVenerupis corrugata:    AphiaID = 181364\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Esex\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: sex\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: F, I, M, X\u003Cbr \/\u003E\nNote: see \u003Ca href=\u0022http:\/\/vocab.ices.dk\/?ref=45\u0022\u003EICES reference codes for SEXCO\u003C\/a\u003E\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Eyear\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: monitoring year\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: discrete\u003Cbr \/\u003E\nRange: 1999, 2017\u003Cbr \/\u003E\nNote: for some data suppliers, monitoring is in winter and e.g. sampling in December 2016 and January 2017 would be regarded as having come from the same monitoring year\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Edate\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: sampling date\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: discrete\u003Cbr \/\u003E\nRange: 1999-01-01, 2017-10-10\u003Cbr \/\u003E\nNote:\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EsampleID\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: sample identifier\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels:  22162\u003Cbr \/\u003E\nNote: data from different matrices (e.g. LI and MU) in the same fish have different sampleIDs\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Ematrix\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: sample matrix\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: BI, BL, HML, LI, LIS9, MU, SB, WO\u003Cbr \/\u003E\nNote: see \u003Ca href=\u0022http:\/\/vocab.ices.dk\/?ref=55\u0022\u003EICES reference codes for MATRX\u003C\/a\u003E\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Egroup\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: contaminant group\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: BDE, bioeffect, CB, dioxin, imposex, metal, organoMetal, PAH.parent, pesticide\u003Cbr \/\u003E\nNote:\u003Cbr \/\u003E\nBDE = polybrominated diphenyl ethers\u003Cbr \/\u003E\nbioeffect = biological effects\u003Cbr \/\u003E\nCB = polychlorinated biphenyls\u003Cbr \/\u003E\norganoMetal = tributyltin and derivatives\u003Cbr \/\u003E\nPAH.parent = parent polycyclic aromatic hydrocarbons\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Edeterminand\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: contaminant\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: 50\u003Cbr \/\u003E\nNote: see \u003Ca href=\u0022http:\/\/vocab.ices.dk\/?ref=37\u0022\u003EICES reference codes for PARAM\u003C\/a\u003E; data submitted as CHRTR and VDSI have been relabelled as CHR and VDS respectively\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Emetoa\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: method of chemical analysis\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: 25\u003Cbr \/\u003E\nNote: see \u003Ca href=\u0022http:\/\/vocab.ices.dk\/?ref=173\u0022\u003EICES reference codes for METOA\u003C\/a\u003E\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Econcentration\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: concentration of contaminant or equivalent for biological effects\u003Cbr \/\u003E\nUnit: ug\/kg ww (contaminants), ug\/ml (PYR1OHEQ), pmol\/min\/mg protein (EROD), st (VDS)\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 0, 438946\u003Cbr \/\u003E\nNote: all contaminant concentrations are expressed on a wet weight basis\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Eqflag\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: less-than qualifier for the concentration measurement\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: \u0022\u0022, \u0022\u0026lt;\u0022\u003Cbr \/\u003E\nNote:\u003Cbr \/\u003E\n\u201c\u0026lt;\u201d indicates a value below the limit of detection\u003Cbr \/\u003E\n\u0022\u201d indicates a value above the limit of detection or where there is no limit of detection (e.g. VDS measurements)\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Euncertainty\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: uncertainty in the concentration measurement\u003Cbr \/\u003E\nUnit: as for concentration\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 0.0000025, 35276\u003Cbr \/\u003E\nNote: analytical uncertainty expressed as the standard deviation; not applicable to some biological effects measurements\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003ELNMEA\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: mean length\u003Cbr \/\u003E\nUnit: cm\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 0.1, 103\u003Cbr \/\u003E\nNote: mean length of monitoring organism in pool; \u003Cstrong\u003Ethere are unit errors in these data, so the data should be used with caution\u003C\/strong\u003E\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EDRYWT\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: dry weight of the sample\u003Cbr \/\u003E\nUnit: %\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 2.46, 91.6\u003Cbr \/\u003E\nNote: all values are above the limit of detection\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EDRYWT.uncertainty\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: uncertainty in the dry weight measurement\u003Cbr \/\u003E\nUnit: %\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 0.028, 12.4\u003Cbr \/\u003E\nNote: analytical uncertainty expressed as the standard deviation\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003ELIPIDWT\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: lipid weight of the sample\u003Cbr \/\u003E\nUnit: %\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 0.09, 81.4\u003Cbr \/\u003E\nNote:\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003ELIPIDWT.qflag\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: less-than qualifier for the lipid weight measurement\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: \u0022\u0022, \u0022\u0026lt;\u0022\u003Cbr \/\u003E\nNote: see qflag\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003ELIPIDWT.uncertainty\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: uncertainty in the lipid weight measurement\u003Cbr \/\u003E\nUnit: %\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 0.019, 10.1\u003Cbr \/\u003E\nNote: analytical uncertainty expressed as the standard deviation\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Enoinp\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: number of individuals pooled in the sample\u003Cbr \/\u003E\nUnit: nr\u003Cbr \/\u003E\nType: discrete\u003Cbr \/\u003E\nRange: 1, 500\u003Cbr \/\u003E\nNote:\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EFEMALEPOP\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: % of the sample that are females\u003Cbr \/\u003E\nUnit: %\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 17, 100\u003Cbr \/\u003E\nNote: used to model imposex data when submitted as a pooled sample\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003ECMTQCNR\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: Comet assay cells screened\u003Cbr \/\u003E\nUnit: nr\u003Cbr \/\u003E\nType: discrete\u003Cbr \/\u003E\nRange: 13, 168\u003Cbr \/\u003E\nNote: used to model Comet assay (%DNATAIL) data\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EMNCQCNR\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: Micronucleus assay cells screened\u003Cbr \/\u003E\nUnit: nr\u003Cbr \/\u003E\nType: discrete\u003Cbr \/\u003E\nRange: 1000, 5000\u003Cbr \/\u003E\nNote: used to model Micronucleus assay (MNC) data\u003C\/p\u003E\n","format":"csv","state":"Active","revision_timestamp":"Tue, 01\/07\/2020 - 14:52","name":"Contaminant and biological effect data in biota used in the 2018 assessment of the UK\u0027s Clean Seas Environment Monitoring Programme","mimetype":"text\/csv","size":"17.52 MB","created":"Tue, 08\/13\/2019 - 14:04","resource_group_id":"","last_modified":"Date changed  Tue, 01\/07\/2020 - 14:52"},{"id":"cc0e28a2-77f1-47b0-b3de-d8c504bced51","revision_id":"","url":"https:\/\/data.marine.gov.scot\/sites\/default\/files\/\/biota_stations_4.csv","description":"\u003Cp\u003EThe variables in biota_stations.csv describe the biota monitoring stations used in the 2018 assessment of the UK\u0027s Clean Seas Environment Monitoring Programme.  The column headings are:\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Ebiogeo_region\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: biogeographic region\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: 7\u003Cbr \/\u003E\nNote: \u003Ca href=\u0022http:\/\/webarchive.nationalarchives.gov.uk\/20141203172025\/http:\/chartingprogress.defra.gov.uk\/regional-basis-charting-progress-2\u0022\u003Ebiogeographic regions\u003C\/a\u003E used for MSFD reporting purposes; there are 8 regions in total but only 7 with data\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003ECSEMP_region\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: monitoring region\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: 19\u003Cbr \/\u003E\nNote: monitoring regions for the UK\u2019s Clean Seas Environmental Monitoring Programme (CSEMP); there are 22 regions in total (see pdf resource for map), but only 19 with data; the  CSEMP regions are aggregated into 8 biogeographic regions for MSFD assessment purposes\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Estratum\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: subdivision of monitoring region\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: 164\u003Cbr \/\u003E\nNote: subdivisions of the CSEMP monitoring regions, most of which are WFD water bodies; there are 818 strata in total, but only 164 with data\u003C\/p\u003E\n","format":"csv","state":"Active","revision_timestamp":"Tue, 01\/07\/2020 - 14:52","name":"Biota monitoring stations used in the 2018 assessment of the UK\u0027s Clean Seas Environment Monitoring Programme (CSEMP)","mimetype":"text\/csv","size":"28.63 KB","created":"Fri, 08\/16\/2019 - 10:04","resource_group_id":"","last_modified":"Date changed  Tue, 01\/07\/2020 - 14:52"},{"id":"ec6bdcaf-d973-459e-9af1-7e2797d22c4c","revision_id":"","url":"https:\/\/data.marine.gov.scot\/sites\/default\/files\/\/sediment_data_4.csv","description":"\u003Cp\u003EThe variables in sediment_data.csv describe the contaminant data in sediment used in the 2018 assessment of the UK\u0027s Clean Seas Environment Monitoring Programme. The column headers are:\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EseriesID\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: timeseries identifier\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: 4522\u003Cbr \/\u003E\nNote: identifies the data (a station \/ contaminant combination) that were grouped together into a timeseries and modelled to assess status and trends\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Estation\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: station identifier\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: 114\u003Cbr \/\u003E\nNote: monitoring station \u2013 links to station information in sediment_stations.csv\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Eyear\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: monitoring year\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: discrete\u003Cbr \/\u003E\nRange: 1999, 2017\u003Cbr \/\u003E\nNote: for some data suppliers, monitoring is in winter and e.g. sampling in December 2016 and January 2017 would be regarded as having come from the same monitoring year\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Edate\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: sampling date\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: discrete\u003Cbr \/\u003E\nRange: 1999-01-18, 2017-07-14\u003Cbr \/\u003E\nNote:\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EsampleID\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: sample identifier\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels:  4139\u003Cbr \/\u003E\nNote:\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Ematrix\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: sample matrix\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: SED63, SEDTOT\u003Cbr \/\u003E\nNote: see \u003Ca href=\u0022http:\/\/vocab.ices.dk\/?ref=55\u0022\u003EICES reference codes for MATRX\u003C\/a\u003E\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Egroup\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: contaminant group\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: BDE, CB, metal, organoMetal, PAH.alkylated, PAH.parent\u003Cbr \/\u003E\nNote:\u003Cbr \/\u003E\nBDE = polybrominated diphenyl ethers\u003Cbr \/\u003E\nCB = polychlorinated biphenyls\u003Cbr \/\u003E\norganoMetal = tributyltin and derivatives\u003Cbr \/\u003E\nPAH.alkylated = alkylated polycyclic aromatic hydrocarbons\u003Cbr \/\u003E\nPAH.parent = parent polycyclic aromatic hydrocarbons\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Edeterminand\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: contaminant\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: 50\u003Cbr \/\u003E\nNote: see \u003Ca href=\u0022http:\/\/vocab.ices.dk\/?ref=37\u0022\u003EICES reference codes for PARAM\u003C\/a\u003E; data submitted as CHRTR have been relabelled as CHR\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Emetoa\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: method of chemical analysis\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: 16\u003Cbr \/\u003E\nNote: see \u003Ca href=\u0022http:\/\/vocab.ices.dk\/?ref=173\u0022\u003EICES reference codes for METOA\u003C\/a\u003E\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Econcentration\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: concentration of contaminant\u003Cbr \/\u003E\nUnit: mg\/kg dw (metals), ug\/kg dw (organics)\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 0.0015, 314000\u003Cbr \/\u003E\nNote: all contaminant concentrations are expressed on a dry weight basis\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Eqflag\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: less-than qualifier for the concentration measurement\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: \u0022\u0022, \u0022\u0026lt;\u0022\u003Cbr \/\u003E\nNote:\u003Cbr \/\u003E\n\u201c\u0026lt;\u201d indicates a value below the limit of detection\u003Cbr \/\u003E\n\u0022\u201d indicates a value above the limit of detection\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Euncertainty\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: uncertainty in the concentration measurement\u003Cbr \/\u003E\nUnit: as for concentration\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 0.0000035, 23680\u003Cbr \/\u003E\nNote: analytical uncertainty expressed as the standard deviation\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EnormConc\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: normalised concentration of contaminant\u003Cbr \/\u003E\nUnit: as for concentration\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 0.0047, 473765\u003Cbr \/\u003E\nNote: the concentration normalised to 5% aluminium (metals) or 2.5% organic carbon (organics); the normalisation process is explained \u003Ca href=\u0022https:\/\/www.bodc.ac.uk\/projects\/data_management\/uk\/merman\/assessments_and_data_access\/csemp\/help\/assessment_methodology\/sediment\/metals.html#Normalisationhere\u0022\u003Ehere\u003C\/a\u003E; some normalised concentrations are \u2018missing\u2019 because the normaliser (aluminium or organic carbon) concentration was not reported or because the uncertainty in the normalised concentration was greater than the normalised concentration\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EnormConc.qflag\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: less-than qualifier for the normalised measurement\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: \u0022\u0022, \u0022\u0026lt;\u0022\u003Cbr \/\u003E\nNote: see qflag\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EnormConc.uncertainty\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: uncertainty in the normalised measurement\u003Cbr \/\u003E\nUnit: as for concentration\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 0.0000099, 47494\u003Cbr \/\u003E\nNote: analytical uncertainty expressed as the standard deviation\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EAL\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: aluminium concentration\u003Cbr \/\u003E\nUnit: %\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 0.013, 48.2\u003Cbr \/\u003E\nNote: all values are above the limit of detection\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EAL.uncertainty\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: uncertainty in the aluminium measurement\u003Cbr \/\u003E\nUnit: %\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 0.0005, 5.49\u003Cbr \/\u003E\nNote: analytical uncertainty expressed as the standard deviation\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003ECORG\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: organic carbon concentration\u003Cbr \/\u003E\nUnit: %\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 0.03, 9.7\u003Cbr \/\u003E\nNote:\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003ECORG.qflag\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: less-than qualifier for the organic carbon measurement\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: \u0022\u0022, \u0022\u0026lt;\u0022\u003Cbr \/\u003E\nNote: see qflag\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003ECORG.uncertainty\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: uncertainty in the organic carbon measurement\u003Cbr \/\u003E\nUnit: %\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 0.001, 17.1\u003Cbr \/\u003E\nNote: analytical uncertainty expressed as the standard deviation\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EDRYWT\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: dry weight of the sample\u003Cbr \/\u003E\nUnit: %\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 8.33, 94.8\u003Cbr \/\u003E\nNote: all values are above the limit of detection\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EDRYWT.uncertainty\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: uncertainty in the dry weight measurement\u003Cbr \/\u003E\nUnit: %\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 0.036, 3.35\u003Cbr \/\u003E\nNote: analytical uncertainty expressed as the standard deviation\u003C\/p\u003E\n","format":"csv","state":"Active","revision_timestamp":"Tue, 01\/07\/2020 - 14:52","name":"Contaminant data in sediment used in the 2018 assessment of the UK\u0027s Clean Seas Environment Monitoring Programme (CSEMP)","mimetype":"text\/csv","size":"19.09 MB","created":"Tue, 09\/10\/2019 - 14:26","resource_group_id":"","last_modified":"Date changed  Tue, 01\/07\/2020 - 14:52"},{"id":"ed2be72f-bd7a-450e-b714-a8861172b92e","revision_id":"","url":"https:\/\/data.marine.gov.scot\/sites\/default\/files\/\/sediment_stations_4.csv","description":"\u003Cp\u003EThe variables in sediment_stations.csv describe the sediment monitoring stations used in the 2018 assessment of the UK\u0027s Clean Seas Environment Monitoring Programme.  The column headings are:\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Ebiogeo_region\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: biogeographic region\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: 7\u003Cbr \/\u003E\nNote: \u003Ca href=\u0022http:\/\/webarchive.nationalarchives.gov.uk\/20141203172025\/http:\/chartingprogress.defra.gov.uk\/regional-basis-charting-progress-2\u0022\u003Ebiogeographic regions\u003C\/a\u003E used for MSFD reporting purposes; there are 8 regions in total but only 7 with data\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003ECSEMP_region\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: monitoring region\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: 19\u003Cbr \/\u003E\nNote: monitoring regions for the UK\u2019s Clean Seas Environmental Monitoring Programme (CSEMP); there are 22 regions in total (see pdf resource for map), but only 19 with data; the  CSEMP regions are aggregated into 8 biogeographic regions for MSFD assessment purposes\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Estratum\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: subdivision of monitoring region\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: 67\u003Cbr \/\u003E\nNote: subdivisions of the CSEMP monitoring regions, most of which are WFD water bodies; there are 818 strata in total, but only 67 with data\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Estation\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: station identifier\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: 114\u003Cbr \/\u003E\nNote:\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Elatitude\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: station latitude\u003Cbr \/\u003E\nUnit: decimal degrees\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 49.97, 61.03\u003Cbr \/\u003E\nNote: these are nominal positions: sampling occurs in a pre-defined area centred on this position.\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Elongitude\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: station longitude\u003Cbr \/\u003E\nUnit: decimal degrees\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: -8.58, 2.33\u003Cbr \/\u003E\nNote: these are nominal positions: sampling occurs in a pre-defined area centred on this position.\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EMSTAT\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: station type\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: B, RH, I\u003Cbr \/\u003E\nNote:\u003Cbr \/\u003E\nB = baseline stations in remote areas subject only to diffuse inputs of contaminants\u003Cbr \/\u003E\nRH = representative stations broadly representative of contaminant levels in the region\u003Cbr \/\u003E\nI = impacted stations located close to a point source\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EWLTYP\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: stratum typography\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: categorical\u003Cbr \/\u003E\nLevels: Estuary, Coast, Open Sea\u003Cbr \/\u003E\nNote:\u003Cbr \/\u003E\nEstuary = WFD transitional water\u003Cbr \/\u003E\nCoast = WFD coastal water\u003Cbr \/\u003E\nOpen Sea = marine water (stratum not covered by WFD)\u003C\/p\u003E\n","format":"csv","state":"Active","revision_timestamp":"Tue, 01\/07\/2020 - 14:52","name":"Sediment monitoring stations used in the 2018 assessment of the UK\u0027s Clean Seas Environment Monitoring Programme (CSEMP)","mimetype":"text\/csv","size":"11.62 KB","created":"Tue, 09\/10\/2019 - 14:56","resource_group_id":"","last_modified":"Date changed  Tue, 01\/07\/2020 - 14:52"},{"id":"ef8525c1-8c32-4dd7-aa5c-dc8b6a662906","revision_id":"","url":"https:\/\/data.marine.gov.scot\/sites\/default\/files\/\/CSEMP%20regions_1.pdf","description":"\u003Cp\u003EMap showing UK\u0027s Clean Seas Environment Monitoring Programme monitoring stations for the 2018 assessment\u003C\/p\u003E\n","format":"pdf","state":"Active","revision_timestamp":"Tue, 01\/07\/2020 - 14:52","name":"UK\u0027s Clean Seas Environment Monitoring Programme (CSEMP) monitoring stations 2018","mimetype":"application\/pdf","size":"114.99 KB","created":"Tue, 09\/10\/2019 - 14:58","resource_group_id":"","last_modified":"Date changed  Tue, 01\/07\/2020 - 14:52"}],"tags":[{"id":"f5b94f7d-b17e-4d84-ba68-c7bb5e8603f2","vocabulary_id":"2","name":"Bioassay and contaminant biological impact"},{"id":"bf06e161-3931-4373-80e0-4d226c938fbb","vocabulary_id":"2","name":"Concentration of other organic contaminants in biota"},{"id":"7cc26d29-0926-47d6-b33b-b710506d7928","vocabulary_id":"2","name":"Concentration of other organic contaminants in sediment samples"},{"id":"054b54f5-717f-46be-a287-5ab7863ccad0","vocabulary_id":"2","name":"Concentration of polychlorobiphenyls (PCBs) in biota"},{"id":"08960099-8a14-46b2-87ec-3c776221ec16","vocabulary_id":"2","name":"Concentration of polychlorobiphenyls (PCBs) in sediment samples"},{"id":"231d3fce-b961-4a73-9e72-1887f2e79531","vocabulary_id":"2","name":"Concentration of polycyclic aromatic hydrocarbons (PAHs) in biota"},{"id":"6842d7f7-7919-4ee1-9100-64f849c67d7a","vocabulary_id":"2","name":"Concentration of polycyclic aromatic hydrocarbons (PAHs) in sediment samples"},{"id":"a54e40a2-5731-4ed4-a090-0cd77f531b57","vocabulary_id":"2","name":"Metal and metalloid concentrations"},{"id":"bab84b10-7e19-4028-a7fc-aeb22c1e4505","vocabulary_id":"2","name":"Metal concentrations in biota"},{"id":"53863fd4-8f17-408f-a2db-cef3e7460947","vocabulary_id":"2","name":"Metal concentrations in sediment samples"}]}]}