{"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":"c0b8a9ca-29c8-45d0-b35d-673bff24b021","name":"contaminant-and-biological-effect-data-1999-2018-2019-csemp-assessment","title":"Contaminant and biological effect data 1999-2018 for the 2019 CSEMP assessment","author_email":"marinescotland@gov.scot","maintainer":"Scottish Government - Marine Directorate Data Publications","maintainer_email":"marinedirectorate@gov.scot","notes":"\u003Cp\u003EThe 2019 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-1999-2018-2019-csemp-assessment","state":"Active","log_message":"Update to resource Biota data 1999-2018 for the 2019 CSEMP assessment","private":true,"revision_timestamp":"Wed, 07\/22\/2020 - 15:02","metadata_created":"Wed, 07\/22\/2020 - 14:37","metadata_modified":"Wed, 07\/22\/2020 - 15:02","creator_user_id":"ef1d5231-9817-4ea3-875e-aadc55addee0","type":"Dataset","resources":[{"id":"aa7b6261-19fb-4bac-b4ee-81b178aab403","revision_id":"","url":"https:\/\/data.marine.gov.scot\/sites\/default\/files\/\/biota_data_5.csv","description":"\u003Cp\u003EThe variables in biota_data.csv describe the contaminant and biological effect data in biota used in the 2019 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: 5971\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: 301\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: 14\u003Cbr \/\u003E\nNote:\u003Cbr \/\u003E\nAequipecten opercularis:    AphiaID = 140687\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\nOstrea edulis:      AphiaID = 140658\u003Cbr \/\u003E\nPecten maximus:     AphiaID = 140712\u003Cbr \/\u003E\nPlatichthys flesus: AphiaID = 127141\u003Cbr \/\u003E\nPleuronectes platessa:  AphiaID = 127143\u003Cbr \/\u003E\nSpisula solida:     AphiaID = 140301\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, 2018\u003Cbr \/\u003E\nNote: for some data suppliers, monitoring is in winter and e.g. sampling in December 2017 and January 2018 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, 2018-09-21\u003Cbr \/\u003E\nNote:\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Etime\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: sampling time\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 00:00:00, 23:29:00\u003Cbr \/\u003E\nNote:\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Elatitude\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: sampling latitude\u003Cbr \/\u003E\nUnit: decimal degrees\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 50.1, 61.01\u003Cbr \/\u003E\nNote:\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Elongitude\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: sampling longitude\u003Cbr \/\u003E\nUnit: decimal degrees\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: -7.43, 2.91\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:  22850\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, ER, 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: see unit column\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 0, 438946\u003Cbr \/\u003E\nNote:\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Eunit\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: unit of the concentration measurement and its uncertainty\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: discrete\u003Cbr \/\u003E\nLevels: %, d, mins, nmol\/min\/mg protein, nr\/1000 cells, pmol\/min\/mg protein, st, ug\/kg ww, ug\/ml\u003Cbr \/\u003E\nNote:\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, \u0022D\u0022\u003Cbr \/\u003E\nNotes:\u003Cbr \/\u003E\n\u0022D\u0022 indicates the measurement is left-censored at the limit of detection; i.e. the measurement is below the limit of detection, but it is not known by how much; the limit of detection is given in the concentration column.\u003Cbr \/\u003E\n\u201c\u0026lt;\u201d indicates the measurement is left-censored by an unspecified censoring criterion (which could be the limit of detection); the value of the censoring criterion is given in the concentration column.\u003Cbr \/\u003E\n\u0022\u201d indicates a non-censored measurement\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Euncertainty\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: uncertainty in the concentration measurement\u003Cbr \/\u003E\nUnit: see unit column\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: length of monitoring organism, or mean length if several individuals were pooled; \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, \u0022D\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":"Wed, 07\/22\/2020 - 14:55","name":"Biota data 1999-2018 for the 2019 CSEMP assessment","mimetype":"text\/csv","size":"21.36 MB","created":"Wed, 07\/22\/2020 - 14:47","resource_group_id":"f96d4bd9-9492-4e8a-b459-d66dfec8d920","last_modified":"Date changed  Wed, 07\/22\/2020 - 14:55"},{"id":"5768067c-23dd-4385-b7d3-fd31f5bd177a","revision_id":"","url":"https:\/\/data.marine.gov.scot\/sites\/default\/files\/\/biota_stations_5.csv","description":"\u003Cp\u003EThe variables in biota_stations.csv describe the biota monitoring stations used in the 2019 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: 175\u003Cbr \/\u003E\nNote: subdivisions of the CSEMP monitoring regions, most of which are WFD water bodies; there are 818 strata in total, but only 175 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: 301\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: 50.11, 61.1\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: -7.42, 2.9\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":"Wed, 07\/22\/2020 - 14:55","name":"Biota Stations 1999-2018 used to collect data for the 2019 CSEMP assessment","mimetype":"text\/csv","size":"31.47 KB","created":"Wed, 07\/22\/2020 - 14:49","resource_group_id":"f96d4bd9-9492-4e8a-b459-d66dfec8d920","last_modified":"Date changed  Wed, 07\/22\/2020 - 14:55"},{"id":"5a6af302-8244-4427-b7b5-b3dac063ef0d","revision_id":"","url":"https:\/\/data.marine.gov.scot\/sites\/default\/files\/\/sediment_data_5.csv","description":"\u003Cp\u003EThe variables in sediment_data.csv describe the contaminant data in sediment used in the 2019 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: 4491\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: 110\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, 2018\u003Cbr \/\u003E\nNote: for some data suppliers, monitoring is in winter and e.g. sampling in December 2017 and January 2018 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, 2018-11-05\u003Cbr \/\u003E\nNote:\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Etime\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: sampling time\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 00:00:00, 23:59:00\u003Cbr \/\u003E\nNote:\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Elatitude\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: sampling latitude\u003Cbr \/\u003E\nUnit: decimal degrees\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 49.97, 61.03\u003Cbr \/\u003E\nNote:\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Elongitude\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: sampling longitude\u003Cbr \/\u003E\nUnit: decimal degrees\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: -8.76, 2.52\u003Cbr \/\u003E\nNote:\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Edepth\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: depth of sediment sample\u003Cbr \/\u003E\nUnit: m\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 0.01, 0.2\u003Cbr \/\u003E\nNote: all samples are surface sampled and this is the lowest depth sampled\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:  3749\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: see unit column\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 0.0015, 15200\u003Cbr \/\u003E\nNote:\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Eunit\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: unit of the concentration measurement and its uncertainty\u003Cbr \/\u003E\nUnit:\u003Cbr \/\u003E\nType: discrete\u003Cbr \/\u003E\nLevels: mg\/kg dw, ug\/kg dw\u003Cbr \/\u003E\nNote:\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, \u0022D\u0022\u003Cbr \/\u003E\nNotes:\u003Cbr \/\u003E\n\u0022D\u0022 indicates the measurement is left-censored at the limit of detection; i.e. the measurement is below the limit of detection, but it is not known by how much; the limit of detection is given in the concentration column.\u003Cbr \/\u003E\n\u201c\u0026lt;\u201d indicates the measurement is left-censored by an unspecified censoring criterion (which could be the limit of detection); the value of the censoring criterion is given in the concentration column.\u003Cbr \/\u003E\n\u0022\u201d indicates a non-censored measurement\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003Euncertainty\u003C\/strong\u003E\u003Cbr \/\u003E\nDescription: uncertainty in the concentration measurement\u003Cbr \/\u003E\nUnit: see unit column\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 0.0000035, 3049\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: see unit column\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 0.0047, 34034\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, \u0022D\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: see unit column\u003Cbr \/\u003E\nType: continuous\u003Cbr \/\u003E\nRange: 0.0000099, 2794\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, 9.2\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, \u0022D\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: 0.003, 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":"Wed, 07\/22\/2020 - 14:54","name":"Sediment data 1999-2018 for the 2019 CSEMP assessment","mimetype":"text\/csv","size":"21.8 MB","created":"Wed, 07\/22\/2020 - 14:54","resource_group_id":"f96d4bd9-9492-4e8a-b459-d66dfec8d920","last_modified":"Date changed  Wed, 07\/22\/2020 - 14:54"},{"id":"310ca4d1-af81-4ef3-a5f3-23ccc728b80a","revision_id":"","url":"https:\/\/data.marine.gov.scot\/sites\/default\/files\/\/sediment_stations_5.csv","description":"\u003Cp\u003EThe variables in sediment_stations.csv describe the sediment monitoring stations used in the 2019 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: 18\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 18 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: 59\u003Cbr \/\u003E\nNote: subdivisions of the CSEMP monitoring regions, most of which are WFD water bodies; there are 818 strata in total, but only 59 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: 110\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":"Wed, 07\/22\/2020 - 14:58","name":"Sediment Stations 1999-2018 used to collect data for the 2019 CSEMP assessment","mimetype":"text\/csv","size":"11.25 KB","created":"Wed, 07\/22\/2020 - 14:58","resource_group_id":"f96d4bd9-9492-4e8a-b459-d66dfec8d920","last_modified":"Date changed  Wed, 07\/22\/2020 - 14:58"},{"id":"8b5341a5-f920-468c-859b-40fa4796aa7a","revision_id":"","url":"https:\/\/data.marine.gov.scot\/sites\/default\/files\/\/CSEMP%20regions_2.pdf","description":"\u003Cp\u003EThis PDF provides a map of the CSEMP monitoring regions along with region names and relations to biogeographic and MSFD regions.\u003C\/p\u003E\n","format":"pdf","state":"Active","revision_timestamp":"Wed, 07\/22\/2020 - 15:02","name":"CSEMP monitoring regions overview","mimetype":"application\/pdf","size":"114.99 KB","created":"Wed, 07\/22\/2020 - 15:02","resource_group_id":"f96d4bd9-9492-4e8a-b459-d66dfec8d920","last_modified":"Date changed  Wed, 07\/22\/2020 - 15:02"}],"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":"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":"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"},{"id":"a54e40a2-5731-4ed4-a090-0cd77f531b57","vocabulary_id":"2","name":"Metal and metalloid concentrations"},{"id":"054b54f5-717f-46be-a287-5ab7863ccad0","vocabulary_id":"2","name":"Concentration of polychlorobiphenyls (PCBs) in biota"},{"id":"ed4ac15b-ac24-47e3-9edc-d670bc2cc731","vocabulary_id":"2","name":"Concentration of polybrominated diphenyl ethers (PBDEs) in biota"},{"id":"56dd271c-ddd2-4206-9ff4-db0022b7b72a","vocabulary_id":"2","name":"Concentration of polybrominated diphenyl ethers (PBDEs) in sediment samples"},{"id":"a9618daf-b0b9-4d14-b292-58f1f0a333bf","vocabulary_id":"2","name":"Imposex (VDS) in dogwhelks"},{"id":"d86d73b9-a872-4226-91cc-8cefed30ed62","vocabulary_id":"2","name":"Ethoxyresorufin-O-deethylase (EROD) activity in fish"},{"id":"8605b77d-d94b-4756-a5cc-e0c1b6116b2d","vocabulary_id":"2","name":"Concentration of bile metabolites in fish"}],"groups":[{"description":"\u003Cp\u003EMarine Directorate undertakes a wide range of monitoring covering many aspects of the Scottish marine ecosystem.\u003C\/p\u003E\n\u003Cp\u003EMonitoring is undertaken in Scottish Inshore Waters, using networks of volunteers and automatic recording equipment, as well as in Scottish Offshore Waters, using the MSS research vessels MRV Alba na Mara and MRV Scotia.\u003C\/p\u003E\n\u003Cp\u003EMarine Scotland Science also participates national monitoring programmes, such as:\u003C\/p\u003E\n\u003Cul\u003E\n\u003Cli\u003EUK Marine Monitoring and Assessment Strategy (UKMMAS)\u003C\/li\u003E\n\u003Cli\u003EUK Marine Environmental Change Network (MECN)\u003C\/li\u003E\n\u003Cli\u003EUK Marine Environmental Data and Information Network (MEDIN)\u003C\/li\u003E\n\u003C\/ul\u003E\n\u003Cp\u003EThis group provides published data from monitoring these activities. For many activities, there are national or international standards for how the monitoring is undertaken.\u003C\/p\u003E\n","id":"f96d4bd9-9492-4e8a-b459-d66dfec8d920","image_display_url":"https:\/\/data.marine.gov.scot\/sites\/default\/files\/\/button%20220%20_1-02_1.png","title":"Monitoring","name":"group\/monitoring"}]}]}