Identifier 
PrefLabel 
Definition 
Date 
S050047 
Fourier analysis after Goda (1970) 
A wave data processing protocol specified in Goda, Y. (1970) Proc. JSCE, 180 (in Japanese). 
20170425 
S050048 
Fourier analysis after Nolte and Hsu (1972) 
A wave data processing protocol specified in Nolte K G,Hsu F H.Statistics of ocean wave groups[C].Dallas,Texas:Fourth Annual Offshore Technology Conf,1972:637644. 
20170425 
S050049 
Fourier analysis with NO depth attenuation correction 
A wave data processing protocol which does not take into account corrections associated with the attenuation of wave energy with depth. 
20170425 
S050055 
NO correction or calibration of raw count rates 
The data value has not been converted from from the raw number of counts made by the instrument. 
20170425 
S050056 
NO salt correction 
Whilst the data value has been converted into engineering units it has not been corrected for the presence of sea salt in the sample. 
20170425 
S050057 
NO verification against independent measurements 
Whilst the data value has been converted into engineering units it has not been verified or backcalibrated against colocated, generally high accuracy, measurements using a different technique such as Winkler titration for oxygen or bench salinometer for salinity. 
20170425 
S050027 
OC5 algorithm 
Calibration algorithm used to generate chlorophyll concentrations from remotely sensed multiplewaveband normalised waterleaving radiance measurements. 
20161109 
S050179 
Takahashi correction to insitu temperature 
A partial pressure of CO2 data processing protocol specified in Takahashi et al (1993) Seasonal variation of CO2 and nutrients in the highlatitude surface oceans: A comparative study. Global Biogeochemical Cycles, 7, 843878. 
20170629 
S050200 
TuckerDraper method 
A method for analysing ocean wave records and reporting results (Draper L (1963) Proc. Inst. Civil Eng. 26 291304). 
20180718 
S050020 
algal1 algorithm 
Calibration algorithm used to generate chlorophyll concentrations from MERIS multiplewaveband normalised waterleaving radiance measurements. 
20161109 
S050063 
analysis of cumulative frequency ordered by phi (coarse to fine) 
A method of determining the distribution of grain sizes in a sample which involves determining grain size on the logarithmic phi scale described in Krumbein and Sloss (1963) Stratigraphy and Sedimentation, 2nd edition; Freeman; San Francisco. 
20170425 
S050064 
analysis of cumulative settling rate curve 
A method of determining the distribution of grain sizes by ordering the settling rates of the particles within a sample. 
20170425 
S050065 
analysis of cumulative settling rate curve after Folk and Ward (1957) 
A method of determining the distribution of grain sizes by ordering the settling rates of the particles within a sample described in Folk, R.L., and Ward, W.C., 1957, Brazos River Bar: A study in the significance of grain size parameters: Journal of Sedimentary Petrology, v. 27, no. 1, p. 326. 
20170425 
S050066 
automated record analysis 
A wave data processing protocol which automatically applies processing protocols to the raw data. 
20170425 
S050199 
automated record analysis using the zerocrossing method 
An automated wave data processing protocol based on the zerocrossing method. 
20180717 
S050067 
averaging of all functional beams 
The data value was produced by taking the simple arithmetic average of values from all functioning replicate sensors on an instrument. 
20170425 
S050068 
averaging values from multiple core segments 
The data value presented has been calculated as the average value of measurements from multiple segments within a core. 
20170425 
S050014 
calibration against Ca analyses with correction for chlorophyll interference 
Calibration of greenlight transmissometer against Ca analyses with chl interference correction. 
20161109 
S050022 
calibration against independent measurements 
The sensor has been calibrated against other measurements of the observed property (e.g. from another sensor). 
20161109 
S050010 
calibration against sample data 
The sensor has been calibrated against discrete measurements of the observed property. 
20160516 
S050077 
calibration against sample data and computation from concentration using Benson and Krause algorithm 
Oxygen concentration was determined by an instrumental measurement calibrated against chemical (generally Winkler Titration) measurements on colocated water samples and saturation was computed according to Benson, B.B., and Krause, D., Jr. 1984. The concentration and isotopic fractionation of oxygen dissolved in freshwater and seawater in equilibrium with the atmosphere. Limnology and Oceanography, 29: 620632. 
20170810 
S050078 
calibration to read zero in clear water 
A correction has been made to the data for light source deterioration using a procedure that results in a zero value in pure water, rather than a zero value in air (which would give a value in pure water of around 0.36). 
20170425 
S050210 
calibration to read zero in clear water with computation from volume scatter 
A correction has been made to the data for light source deterioration due to volume of a medium using a procedure that results in a zero value in pure water, rather than a zero value in air (which would give a value in pure water of around 0.36). 
20181205 
S050079 
calibration using protocols of Deines (1999) 
An acoustic backscatter calibration protocol described in Deines, K. L. (1999). Backscatter Estimation Using Broadband Acoustic Doppler Current Profilers. In: Anderson, S. P.,Terry, E. A., White, J. A. R., & William, A. J., (Editors), Proceedings of IEEE 6th Working Conference on Current Measurement Technology, pp. 249253. 
20170425 
S050187 
categorisation using EMODnet chemistry reporting protocol 
The parameter is constrained according to the EMODnet chemistry reporting protocol. 
20171125 
S050194 
cell averaging 
A radar data processing method. 
20180129 
S050213 
classification according to Rowles et al (2001) 
The classification used is published in Rowles, T.K., Van Dolah, F.M., Hohn, A.A. (2001) Gross necropsy and specimen collection protocols. In T.K. Rowles, F.M. Van Dolah and A.A. Hohn (Eds), CRC handbook of marine mammal medicine (pp. 449470). Boca Raton, U.S.A.: CRC Press. 
20190316 
S050226 
classification to a term from the EMODnet Human Activities vocabulary (SDN:HA2::) 
The data or information was reported using terms defined in the EMODnet Human Activities vocabulary vocab.nerc.ac.uk/collection/HA2. 
20201020 
S050197 
classification to a term from the JNCC's Marine Habitat Classification for Britain and Ireland Version 04.05 (SDN:M20::) 
The habitat has been described using a term define in the Joint Nature Conservation Committee's Marine Habitat Classification for Britain and Ireland Version version 04.05 (SDN:M20::). 
20180614 
S050198 
classification to a term from the JNCC's Marine Habitat Classification for Britain and Ireland Version 15.03 (SDN:M21::) 
The habitat has been described using a term define in the Joint Nature Conservation Committee's Marine Habitat Classification for Britain and Ireland Version version 15.03 (SDN:M21::). 
20180614 
S050223 
classification to a term from the JNCC's Marine Habitat Classification for Britain and Ireland Version 97.06 (SDN:M24::) 
A text term plus URI describing the seabed habitat of marine, coastal or estuarine waters using the JNCC's Marine Habitat Classification for Britain and Ireland Version 97.06. 
20191126 
S050227 
classification to a term from the Marine Strategy Framework Directive broad habitat types (Commission Decision (EU)2017/848) 
The data or information was reported using terms defined in the Broad habitat types vocabulary http://dd.eionet.europa.eu/vocabulary/msfd/broadHabitatTypes/ released 24 Oct 2017 14:47:22. 
20201020 
S050195 
classification to a term from the NVS SeaDataCloud Flow Cytometry Standardised Cluster Names Vocabulary (SDN:F02::) 
The observation has been identified using a term defined in the NVS SeaDataCloud Flow Cytometry Standardised Cluster Names F02 controlled vocabulary. 
20180201 
S050222 
classification using GEBCO Grid Source Data Type Identifier (SDN:GGT::) 
The data or information was distributed into classes defined in the controlled vocabulary collection vocab.nerc.ac.uk/collection/GGT/. 
20191125 
S050009 
computation 
The result has been produced using a mathematical calculation that should be described in the usage metadata. 
20160415 
S050080 
computation after Folk and Ward (1957) 
The value is a statistic derived from sediment grain size distribution data using the equations published in Folk, R.L., and Ward, W.C. (1957). Brazos River bar, a study in the significance of grainsize parameters. J. Sediment. Petrol. 27:326. 
20170425 
S050059 
computation as carbon from amino acid uptake, abundance and cell volume data 
Carbon production rate has been computed from the number of individuals and a proxy for biomass production rate. 
20170425 
S050186 
computation by morphometric method 
The variable (e.g. body mass) has been derived from formula based on the geometry and size measurement of the observed entity or component part thereof. 
20171014 
S050070 
computation from 1st order Fourier coefficients of directional distribution of energy, A1 and B1 

20170425 
S050084 
computation from CTD density profile 
The value was derived by determination from a CTD profile of the depth at which the density increased from surface density by the amount given in the parameter definition. 
20170425 
S050085 
computation from CTD temperature profile 
The value was derived by determination from a CTD profile of the depth at which the temperature decreased from surface temperature by the amount given in the parameter definition. 
20170425 
S050071 
computation from DMS concentration and shipboard wind speed 
Flux calculation was based on measured DMS and the best available windspeed from the ship's anemometer. 
20170425 
S050072 
computation from Fm and Fo fluorescence yields from the dark chamber 
The data value presented has been calculated from the maximum and minimum chlorophylla fluorescence yields measured in a darkadapted state. 
20170425 
S050073 
computation from Fm and Fo fluorescence yields from the light chamber 
The data value presented has been calculated from the maximum and minimum chlorophylla fluorescence yields measured in a lightadapted state. 
20170425 
S050196 
computation from PvI and the absorption of photosynthetically active radiation (PAR) data 
The data value has been computed from parameters derived from photosynthesisversuslight curve analyses and the observed absorption of photosynthetically active radiation (PAR). 
20180308 
S050093 
computation from PvI data and measured light profile 
The data value has been computed from parameters derived from photosynthesisversuslight curve analyses and the observed insitu light profile. 
20170425 
S050094 
computation from PvI data and measured wavelengthdependent phytoplankton absorption coefficients 
The data value has been computed from parameters derived from photosynthesisversuslight curve analyses and the observed wavelengthdependent absorption coefficients. 
20170425 
S050060 
computation from air temperature and relative humidity data 
The data have been calculated from the corresponding air temperature and relative humidity values. 
20170425 
S050214 
computation from ashfree dry weight and temperature using a general allometric equation (Edgar, 1991) 
The property was derived from measurements of ashfree dry weight and temperature according to Edgar (1991). 
20190316 
S050180 
computation from biovolume using equations from MendenDeuer and Lessard (2000) 
Conversion from biovolume were made using the relationships derived by MendenDeuer, S. and E. J. Lessard (2000). Carbon to volume relationships for dinoflagellates, diatoms, and other protist plankton. Limnology and Oceanography 45(3): 569579. 
20170731 
S050061 
computation from concentration 
The parameter has been calculated from a measured concentration and physical parameters such as temperature and salinity. 
20170425 
S050081 
computation from concentration using Benson and Krause algorithm 
Saturation was computed from actual concentration and a theoretical concentration predicted from temperature and salinity using the algorithm of Benson, B.B., and Krause, D., Jr. (1984). The concentration and isotopic fractionation of oxygen dissolved in freshwater and seawater in equilibrium with the atmosphere. Limnology and Oceanography, 29: 620632. 
20170810 
S050082 
computation from concentration using Weiss algorithm 
Saturation was computed from actual concentration and theoretical concentrationpredicted from temperature and salinity using the algorithm of Weiss, RF. (1970). The solubility of nitrogen, oxygen and argon in water and seawater. DeepSea Research. 17:721735. 
20170425 
S050083 
computation from cross spectra 
The data have been calculated from a cross spectra analysis: a mathematical covariance function used to identify timeseries variations with similar spectral properties, i.e. high power in the same spectral frequency bands. 
20170425 
S050086 
computation from fast microstructure temperature 
The parameter has been calculated from the output of a thermistor probe which is capable of resolving high resolution temperature differences in a very small time period. 
20170425 
S050087 
computation from horizontal cospectra translation after Kuik et al. (1988) 
A wave data processing protocol developed from the work of Kuik, Van Vledder and Holthuijsen (1988). A method for the routine analysis of pitchandroll buoy wave data. J. Phys. Oceanogr. 18: 10201034. 
20170810 
S050088 
computation from moments as defined by Cartwright and LonguetHiggins (1956) 
A wave data processing method described in Cartwright and LonguetHiggins (1956). The statistical distribution of the maxima of a random function. Proc. Roy Soc. A 237:212232. 
20170425 
S050178 
computation from pCO2 following correction to dry air and calibration against standards 

20170629 
S050089 
computation from pH and alkalinity 
The parameter has been calculated from the corresponding pH and alkalinity values. 
20170425 
S050090 
computation from phi size distribution 
The parameter has been calculated from the distribution of grain sizes within the sample as represented on the logarithmic phi scale described in Krumbein & Sloss (1963) Stratigraphy and Sedimentation, 2nd edition; Freeman; San Francisco. 
20170425 
S050074 
computation from potassium concentration 
The beta activity has been determined by measuring the amount of potassium in the sample and using natural isotopic composition data to convert this to the amount of radioactive 40K isotope. 
20170425 
S050091 
computation from pressure, salinity and IPTS68 temperature using UNESCO algorithm 
The parameter has been calculated from the corresponding pressure, salinity and temperature (on the IPTS68 scale) values using the algorithm in Fofonoff and Millard (1983). Algorithms for computation of fundamental properties of seawater. UNESCO, Paris. 
20170425 
S050092 
computation from probe freefall time using unspecified algorithm 
The distance travelled (i.e. the depth of the probe below the surface) was computed from time using an unknown assumed speed and/or acceleration. 
20170425 
S050075 
computation from rate of change of concentration in overlying water 
The rate of exchange of material between water and sediment has been determined by monitoring the concentration changes in the water and converting this to quantity of material passing between the phases per unit area per unit time. 
20170425 
S050205 
computation from regression line of suspended sediment concentration versus water flow velocity 
The parameter has been determined from a linear regression of suspended sediment concentration versus shear current velocity. 
20180904 
S050095 
computation from salinity and potential temperature using UNESCO algorithm 
The parameter has been calculated from the corresponding salinity and potential temperature values using the algorithm in Fofonoff and Millard (1983). Algorithms for computation of fundamental properties of seawater. UNESCO, Paris. 
20170425 
S050096 
computation from salinity and temperature using UNESCO algorithm 
The parameter has been calculated from the corresponding salinity and temperature values using the algorithm in Fofonoff and Millard (1983). Algorithms for computation of fundamental properties of seawater. UNESCO, Paris. 
20170425 
S050097 
computation from temperature and salinity by unspecified algorithm 
The parameter has been calculated from the corresponding salinity and temperature values using an unspecified algorithm. 
20170425 
S050098 
computation from the ratio of horizontal translation to heave 
A wave data processing protocol which involves analysis of the ratio of the horizontal and vertical movements of the gauge. 
20170425 
S050024 
computation from the ratio of upwelled irradiance at 440 and 570 nm 
Computed from the ratio of upwelled irradiance at 440 and 570 nm. 
20161109 
S050017 
computation from the ratio of upwelled irradiance at 490 and 570 nm 
Computed from the ratio of upwelled irradiance at 490 and 570 nm. 
20161109 
S050215 
computation from the wave velocity cell recorded burst 
The quantity was derived from the mean velocities (from the East and North components) that are measured in the wave velocity cell of an acoustic wave array. 
20190321 
S050206 
computation from total mass of suspended solids and bulk density 
The parameter has been derived by calculation of the sediment bulk density and the mass of suspended material removed. 
20180904 
S050099 
computation from travel time averaged from all operational beams and unknown sound velocity profile 
The parameter has been derived from the average of the twoway travel time of all operational acoustic beams on the instrument and using an unspecified sound velocity profile within the water column. 
20170425 
S050100 
computation from turbulent kinetic energy and density 
A vertical diffusion coefficient data processing protocol which involves computing the parameter from the corresponding values of turbulent kinetic energy and density. 
20170425 
S050101 
computation from variation of light intensity with depth 
A light extinction coefficient data processing protocol using computation from the light intensity profile. 
20170425 
S050102 
computation from volume scatter data 
An optical backscatter data processing protocol where the scattering of light within a volume is used to calculate the values. 
20170425 
S050105 
computation from wet and dry bulb thermometer data 
Standard meteorological calculation to determine humidity from the degree of cooling produced by evaporation of water. 
20170425 
S050176 
computation from wet bulk density 

20170425 
S050175 
computation from wet bulk density and assumed mineral grain and seawater densities 

20170425 
S050002 
computation of Blundell and Barber (2005) 
Computation described in Blundell and K. Barber (2005), A 2800year palaeoclimatic record from Tore Hill Moss, Strathspey, Scotland: the need for a multiproxy approach to peatbased climate reconstructions, Quaternary Science Reviews 24, pp.12611277. 
20150910 
S050076 
computation of carbon from calcium 
The amount of calcium in the sample was measured and converted to carbon on the basis of CaCO3 composition (one mole of carbon for each mole of calcium). 
20170425 
S050106 
computation of density reciprocal from pressure, temperature and salinity 
A factor for the conversion of per volume data to per mass data corresponding to the reciprocal of density as calculated from the corresponding pressure, temperature and salinity measurements. 
20170425 
S050107 
computation of depth using unspecified drop rate algorithm converted to pressure using UNESCO algorithm 
An expendable bathythermograph (XBT) data processing protocol which converts the depths recorded using an unspecified drop rate to pressure using the appropriate algorithm from Fofonoff and Millard (1983). Algorithms for computation of fundamental properties of seawater. UNESCO, Paris. 
20170425 
S050108 
computation of rate of change from variable incubation durations 
A technique for calculating the partition coefficient of trace metals in the water column which uses incubation experiments of differing lengths. 
20170425 
S050185 
computation using Andrassy (1956) formula 
A method to calculate the body mass of nematodes using the formula W = (L*D2)/(1.6*106) where W is the mass (as fresh weight in micrograms) per individual, L is the nematode length (in microns) and D is the greatest body diameter (in microns). Andrassy I (1956) The determination of volume and weight of nematodes. Acta Zool 2:1–15. 
20171014 
S050109 
computation using PEXEC algorithm 
A data processing algorithm contained within the Pstar software suite. 
20170425 
S050182 
computation using UNESCO 1983 algorithm 
The parameter has been calculated using the appropriate algorithm from Fofonoff and Millard (1983). Algorithms for computation of fundamental properties of seawater. UNESCO, Paris. 
20170919 
S050183 
computation using UNESCO 1983 algorithm and NO calibration against independent measurements 
The parameter has been calculated using the algorithm from Fofonoff and Millard (1983). Algorithms for computation of fundamental properties of seawater. UNESCO, Paris; the sensor values have not been checked against insitu measurements. 
20170919 
S050184 
computation using UNESCO 1983 algorithm and calibration against independent measurements 
The parameter has been calculated using the algorithm from Fofonoff and Millard (1983). Algorithms for computation of fundamental properties of seawater. UNESCO, Paris; the sensor values have been calibrated against insitu measurements. 
20170919 
S050112 
computation using UNESCO algorithm 
The parameter has been calculated using the appropriate algorithm from Fofonoff and Millard (1983). Algorithms for computation of fundamental properties of seawater. UNESCO, Paris. 
20170425 
S050114 
computation using UNESCO algorithm and NO calibration against independent measurements 
The parameter has been calculated without calibration against an independently measured sample and using the appropriate algorithm from Fofonoff and Millard (1983). Algorithms for computation of fundamental properties of seawater. UNESCO, Paris. 
20170425 
S050113 
computation using UNESCO algorithm and calibration against independent measurements 
The parameter has been calculated with calibration against an independently measured sample and using the appropriate algorithm from Fofonoff and Millard (1983). Algorithms for computation of fundamental properties of seawater. UNESCO, Paris. 
20170425 
S050201 
computation using protocol of Barstow et al. (1991) 
The parameter has been computed according to the protocol published in Barstow SF, Ueland G, Krogstad HE, Fossum BA 1991. The Wavescan second generation directional wave buoy. IEEE J OCEANIC ENG 16(2) 254266. 
20180723 
S050228 
computation using resultant velocity components from beams 1 and 3 
The 3D velocity is computed from the resultant horizontal velocity components and one vertical velocity from beams 1 and 3 of an acoustic doppler current profiler. 
20210119 
S050229 
computation using resultant velocity components from beams 2 and 4 
The 3D velocity is computed from the resultant horizontal velocity components and one vertical velocity from beams 2 and 4 of an acoustic doppler current profiler. 
20210119 
S050191 
computation using stereometric formulas 
Calculation of the volume of an object using shape geometry, measurements and mathematical formula. 
20180116 
S050110 
computation using stereometrical configurations of Edler (1979) 
Abundance to biovolume conversion following the protocol described in Edler L (ed) (1979) Recommendations for marine biological studies in the Baltic Sea—phytoplankton and chlorophyll. The Baltic Marine Biologists Publ 5:138. 
20170810 
S050111 
computation using stereometrical configurations of Edler(1979) and carbon factor of Gonzalez and Smetacek(1994) 
Abundance to biovolume conversion following the protocol described in Edler L (ed) (1979) Recommendations for marine biological studies in the Baltic Sea—phytoplankton and chlorophyll. The Baltic Marine Biologists Publ 5:138. Biovolume to carbon biomass using the carbon conversion factor of Gonzalez, H.E., Smetacek, V., (1994). The possible role of the cyclopoid copepod Oithona in retarding vertical flux of zooplankton fecal material. Mar. Ecol.
Prog. Ser. 113, 233246. 
20170810 
S050209 
computation using the BlackburnCaperon model 
The value is derived using the isotope dilution technique and equations first described in Blackburn 1979 and in Caperon et al 1979. 
20181003 
S050230 
computation using the eddy covariance method 
A statistical method used to process eddy covariance measurements and to derive quantities such as heat, momentum, and gas fluxes between a flat, horizontally homogeneous surface and the overlying atmosphere. 
20210212 
S050008 
concentration to activity conversion based on half life 

20151112 
S050204 
conversion from height above seabed using bathymetric depth 
The depth below sea surface was obtained by subtracting height above the bed from the bathymetric depth. 
20180903 
S050058 
conversion of abundance to carbon biomass by unspecified algorithm 
Carbon biomass has been computed from the number of individuals and the conversion factor is either unknown or specified elsewhere. 
20170425 
S050062 
conversion of abundance to carbon biomass using the equation of Putt & Stoecker (1989) 
Carbon biomass has been computed from the number of individuals using the protocol documented in Putt M, Stoeker DK (1989) An experimentally determined carbon:volume ratio for marine 'oligotrichous' ciliates from estuarine and coastal waters. Limnol Ocean 34:10971103. 
20170810 
S050069 
conversion of weight to carbon biomass and profile integration 
Biomass was measured per unit volume, converted from mass to carbon and the value per unit area was determined by depth integration. 
20170425 
S050115 
conversion to Beaufort scale 
Classification of windspeed into twelve classes with standardised boundaries. 
20170425 
S050117 
conversion to WMO code 
Classification into classes with standardised boundaries specified in an unspecified World Meteorological Organisation published table . 
20170425 
S050118 
conversion to WMO code using table 0885/0877 
Classification into classes with standardised boundaries specified in World Meteorological Organisation published tables 0885 and 0877 . 
20170425 
S050119 
conversion to WMO code using table 1555 
Classification into classes with standardised boundaries specified in World Meteorological Organisation published table 1555 . 
20170425 
S050120 
conversion to WMO code using table 3155 
Classification into classes with standardised boundaries specified in World Meteorological Organisation published table 315 . 
20170425 
S050121 
conversion to WMO code using table 3700 
Classification into classes with standardised boundaries specified in World Meteorological Organisation published table 3700 . 
20170425 
S050224 
conversion to WMO code using table 4300 
Classification into classes with standardised boundaries specified in World Meteorological Organisation published table 4300. 
20200219 
S050122 
conversion to WMO code using table 4677/4501 
Classification into classes with standardised boundaries specified in World Meteorological Organisation published tables 4677 and 4501. 
20170425 
S050116 
conversion to depth using unspecified algorithm 
The parameter has been converted to depth using an unknown algorithm. 
20170425 
S050123 
conversion to seawater depth using UNESCO algorithm 
The parameter has been converted to seawater depth using the appropriate algorithm from Fofonoff and Millard (1983). Algorithms for computation of fundamental properties of seawater. UNESCO, Paris. 
20170425 
S050006 
corrected for the detrital contribution 

20151112 
S050011 
corrected for the dissolution of lithogenic minerals 

20161017 
S050104 
correction after Del Grosso 
A correction to the recorded data for the speed of sound in water described in Del Grosso (1974). 'New equation for the speed of sound in natural waters (with comparisons to other equations). J. Acoust. Soc. Am. 56: 10841091 
20170810 
S050126 
correction after Kuwahara 
A correction to the recorded data for the speed of sound in water described in Kuwahara & Poeckert (1989). Accurate seafloor mapping using precise navigation and sidescan sonar. Oceans '89: The Global Ocean, 4: 11481152 
20170425 
S050160 
correction after Stuiver and Reimer 
A correction applied to radiocarbon dates for variation in marine carbon reservoir. 
20170425 
S050127 
correction after Wilson 
A correction to the recorded data for the speed of sound in water described in Wilson (1960). Equation for the speed of sound in sea water. J. Acoust. Soc. Amer. 32(10): 1357 
20170425 
S050128 
correction based on measured sound velocity profile 
A correction to the recorded data for the speed of sound in water based on the observed profile of sound velocity in the water column. 
20170425 
S050124 
correction for atmospheric pressure 
A seawater pressure data processing protocol which removes the atmospheric pressure signal from the recorded data. 
20170425 
S050193 
correction for atmospheric stability and to a height of 10m 
TBC 
20180129 
S050129 
correction for bacterial chlorophyll c+d following Caraco & Puccoon 1986 and Golterman et al. 1978 protocols 
A correction for the presence of bacterial chlorophyllc and d was applied to the recorded data as detailed in Caraco & Puccoon (1986). The measurement of bacterial chlorophyll and algal chlorophyll a in natural waters. Limnol. Oceanogr. 31(4): 889893; Golterman, Clymo & Ohnstad MAM (1978). Methods of physical and chemical analysis of fresh water. Blackwell Scientific Publishers, Oxford, 214p. 
20170425 
S050217 
correction for bacteriochlorophyll c+d following Caraco and Puccoon 1986, and Golterman et al. 1978 
The pigment concentration has been calculated by removing the influence bacteriochlorophylls c and d. 
20190326 
S050216 
correction for divinyl chlorophyll forms 
The pigment concentration has been calculated by removing the influence of divinyl chlorophyll forms. 
20190326 
S050130 
correction for drift 
The data value has been corrected for instrument drift. 
20170425 
S050131 
correction for hydrolysis 
The data value has been corrected for the chemical process of hydrolysis (the splitting of a water molecule into H+ and OH). 
20170425 
S050177 
correction for lithogenic Ba contribution 

20170425 
S050021 
correction for nitrite 
Measurement of nitrate+nitrite corrected to remove the nitrite component. 
20161109 
S050132 
correction for seawater compressibility 
The data value has been corrected for the compressibility of seawater at depth. 
20170425 
S050190 
correction for variation in surface illumination 
A correction applied to underwater light measurements to account for changes in the light field at the surface of the water column. 
20171218 
S050133 
correction to a common scale 
The data were recorded on an arbitrary scale and have been translated to a common scale throughout the record. 
20170425 
S050134 
correction to a path length of 1m 
The data were recorded on one path length and have been corrected to a one metre path length. 
20170425 
S050135 
correction to a path length of 1m and for seawater compressibility 
The data were recorded on one path length and have been corrected to a one metre path length and for the compressibility of seawater at depth. 
20170425 
S050168 
correction to insitu temperature after Takahashi 
A partial pressure of CO2 data processing protocol specified in Takahashi et al (1993) Seasonal variation of CO2 and nutrients in the highlatitude surface oceans: A comparative study. Global Biogeochemical Cycles, 7, 843878. 
20170425 
S050125 
correction to read zero at sea level 
The data presented have been corrected to be zero at the corresponding sea level. 
20170425 
S050136 
correction to sea level 
The data measured have been corrected to sea level by addition of a constant. 
20170425 
S050137 
correction to sea level and averaging of multiple sensors 
The data measured have been corrected to sea level by addition of a constant and have been averaged from the output of multiple instruments. 
20170425 
S050138 
correction to sea level and subtraction of value predicted by tidal analysis 
A residual value of pressure has been computed by calibrating the instrument to read zero at sea level and subtracting values computed using an unspecified tidal analysis algorithm from the measured values. 
20170425 
S050139 
correction to true North 
The data value was measured relative to magnetic North then corrected to true North by adding the magnetic declination for the location and time of the measurement. 
20170425 
S050140 
correction to zero at sea level and conversion to depth using unspecified algorithm 
The recorded data have been corrected to read zero at sea level and have been converted to depth using an unspecified algorithm. 
20170425 
S050141 
correction using Carter's tables 
An echo sounder data correction specified in Carter (1980). EchoSounding Correction Tables, 3rd Edition. Hydrographic Department, Taunton, UK. 
20170425 
S050143 
correction using Matthew's tables 
An echo sounder data correction specified in Matthews (1939). Tables of the Velocity of Sound in Pure Water and Sea Water for Use in EchoSounding and Sound Ranging, 2nd Ed. Hydrographic Department, Ministry of Defense, United Kingdom. 
20170425 
S050142 
correction using colocated air pressure and subtraction of value predicted by tidal analysis 
A residual value of pressure has been computed by subtracting measured atmospheric pressures followed by values computed using an unspecified tidal analysis algorithm from the measured values. 
20170425 
S050103 
correction using colocated air pressure data expressed to unspecified datum by subtraction of a constant 
A seawater pressure data processing protocol which corrects the recorded data for the atmospheric pressure signal from a colocated atmospheric pressure sensor and translates the data to an unspecified datum through the subtraction of a constant. 
20170425 
S050144 
dark current baseline correction 
The instrument output has been corrected for the baseline measurement made by the instrument in the dark. 
20170425 
S050007 
decay correction to sampling time 

20151112 
S050145 
derivation from GEBCO centenary edition 1minute global grid 
The data have been derived from the GEBCO Centenary Edition CDROM data, oneminute grid. 
20170425 
S050220 
derivation from GEBCO_08 30 arcsecond global grid 
The data have been derived from the GEBCO 2008 30 arcsecond global bathymetric grid. 
20190513 
S050219 
derivation from GEBCO_14 30 arcsecond global grid 
The data have been derived from the GEBCO 2014 30 arcsecond global bathymetric grid. 
20190513 
S050218 
derivation from GEBCO_19 15 arcsecond global grid 
The data have been derived from the GEBCO 2019 15 arcsecond global bathymetric grid. 
20190513 
S050146 
derivation from the raw data from the dark chamber to Kolber et al 1998 biophysical model using Laney v4 2003 software 
The data value has been derived from the dark chamber instrument output and software which implements the biophysical model of Kolber, Prasil & Falkowski (1998). Measurements of variable chlorophyll fluorescence using fast repetition rate techniques. I. Defining methodology and experimental protocols. Biochem. Biophys. Acta 1367: 88106. 
20170425 
S050023 
derivation from the raw data from the dark chamber with calibration against sample data 
Bench FRRF measurement with a sample calibration applied. 
20161109 
S050147 
derivation from the raw data from the light chamber to Kolber et al 1998 biophysical model using Laney v4 2003 software 
The data value has been derived from the light chamber instrument output and software which implements the biophysical model of Kolber, Prasil & Falkowski (1998). Measurements of variable chlorophyll fluorescence using fast repetition rate techniques. I. Defining methodology and experimental protocols. Biochem. Biophys. Acta 1367: 88106. 
20170425 
S050033 
differencing DMSO before and after incubation 
A change in the concentration of dimethylsulphoxide (DMSO) has been calculated by taking the difference of the DMSO concentrations before and after an incubation experiment. 
20170425 
S050034 
differencing DOC before and after incubation 
A change in the concentration of dissolved organic carbon (DOC) has been calculated by taking the difference of the DOC concentrations before and after an incubation experiment. 
20170425 
S050148 
differencing carbon uptake with and without nitrification inhibitor 
An oxidation rate has been calculated by taking the difference of the carbon uptake in incubation experiments conducted with and without nitrification inhibitors present. 
20170425 
S050032 
differencing determinations on sample before and after 400C ignition 
The difference in elemental concentrations has been taken before and after the sampel was subjected to ignition at 400C. 
20170425 
S050035 
differencing of the measurements 
The measurements of a 'before and after' experiment have been differenced. 
20170425 
S050036 
differencing results from acidified and unacidified samples 
The data presented are the result of differencing the outcomes of both acidified and unacidified experiments. 
20170425 
S050037 
differencing results from acidified and unacidified samples and profile integration 
The data presented are the result of differencing the outcomes of both acidified and unacidified experiments and integration of a profile of measurements. 
20170425 
S050038 
differencing results from acidified and unacidified samples, summation of size fractionated data and profile integration 
The data presented are the result of differencing the outcomes of both acidified and unacidified experiments, the integration of data from the complete size range and the integration of data through a vertical profile. 
20170425 
S050221 
differencing results from two sizefractions 
The data was not measured directly but derived by subtracting results from two different sizefractions: one that contains the fraction of interest and the other that does not contain the fraction of interest. 
20190802 
S050025 
differencing the results from 0.4um and 10**4 Dalton filtered water 
The results of analyses of samples filtered through 0.4um and a 10000 Dalton (a Dalton is a unit of atomic mass) filters have been differenced to give the data presented. 
20170629 
S050039 
differencing the results from 0.4um and 10**4 Dalton filtered water^{DEPRECATED} 
Code deprecated because it duplicates an existing code. 
20170629 
S050040 
division of insitu resistivity by resistivity of overlying water 
The data presented are the resutl of the division of the resistivity of the insitu pore water by the resisitvity of the overlying water. 
20170425 
S050041 
division of upwelling irradiance by downwelling irradiance 
The data presented are the result of dividing the measured upwelling irradiance by the measured downwelling irradiance. 
20170425 
S050188 
downcrossing analysis 
Refers to wave analysis performed on the section of the record where the waveform crosses the zero axis formed by the record average level from positive to negative. 
20171214 
S050042 
empirical correction for optics fouling and Saunders compressibility correction 
An attenuance data proccessing method which involves an empirical correction for fouling of the optical instrument window and the Saunders correction for the compressibility of water, described in Saunders (1981). Practical conversion of pressure to depth. J. Phys. Oceanogr. 11: 3734. 
20170425 
S050043 
estimation from phytoplankton spectral absorption coefficients after Dubinsky (1980) 
A light absorbance data processing protocol defined in Dubinsky (1980). Light utilization efficiency in natural phytoplankton communities. In: "Primary Productivity in the Sea". Plenum pp. 8397. 
20170425 
S050044 
estimation from surface roughness 
The parameter is an estimate based on observation of the roughness of the sea surface. 
20170425 
S050045 
expressed as PPi 
The data presented are expressed as the reagent in the process, PPi. 
20170425 
S050192 
expressed at measurement altitude 
Used for meteorological measurements made at a height that significantly differs from the accepted standard height of 10 metres above ground or sea level. A corrected value to a height of 10 metres is likely to be available as part of the dataset. 
20180129 
S050046 
expressed to unspecified datum by subtraction of a constant 
The data presented have been corrected to an unspecified datum by the subtraction of a constant from the recorded measurement. 
20170425 
S050050 
geometric statistics computation 
The parameter has been calculated from the computation of statistics describing the geometry of the sediment sample. 
20170425 
S050051 
laboratory calibration against formazin 
A procedure where a nephelometer is calibrated on standard nominal turbidity scale based on mesurements made in different concentrations of formazin. Formazin is a particulate phase with 1.5 micron median particle size (0.6 micron standard deviation). 
20170425 
S050015 
laboratory calibration applied 
The sensor has been calibrated using a calibration determined on the sensor in the laboratory. 
20161109 
S050004 
lipid normalisation (wet weight cct/lipid proportion) 
The wet weight concentration is divided by the proportion of lipids in the sample 
20150910 
S050005 
lipid normalisation (wet weight cct/lipid proportion) and weaning correction 
The wet weight concentration is divided by the proportion of lipids in the sample and value obtained is adjusted for samples taken from weaned pups. 
20150910 
S050052 
manual record analysis 
Derived statistics have been obtained by manual analysis of data recorded on hardcopy paper charts. 
20170425 
S050019 
manufacturer's calibration applied 
The sensor has been calibrated using the manufacturer's calibration. 
20161109 
S050053 
most probable number analysis 
Statistical estimation of an abundance from a number of replicate determinations. 
20170425 
S050054 
multiplication by 10**7 
The data value has been scaled by the stated factor, generally to facilitate precision preservation by storing as an integer. 
20170425 
S050013 
no calibration against sample data 
The sensor has not been calibrated against discrete measurements of the observed property. 
20161109 
S050181 
normalisation from per cell to per cell volume 
The measured value was divided by the biovolume. 
20170731 
S050030 
normalisation to organic carbon and lutum content (RIKZ 'standard sediment') 
A trace chemical analysis method where the recorded value is normalised to the Dutch Rijkswaterstaat standard sediment having 10% organic matter, or equivalently 5% organic carbon. 
20170419 
S050151 
normalisation with biomass expressed as carbon 
The data presented have been normalised such that the biomass fraction of the sample defined by the parameter is expressed as carbon. 
20170425 
S050152 
normalisation with biomass expressed as nitrogen 
The data presented have been normalised such that the biomass fraction of the sample defined by the parameter is expressed as nitrogen. 
20170425 
S050003 
not specified 
There is no information available on the postanalysis dataprocessing protocol used to obtain the observable property measurement. 
20150901 
S050012 
processed following the protocol of Yentsch+Menzel 
Protocol described in Yentsch, C.S. and Menzel, D.W. (1963), A method for determination of phytoplankton chlorophyll and phaeophytin by fluorescence. DeepSea Research, 10, 221231. 
20161109 
S050154 
processing after Wright and Coffin (1984) 
A technique for calculating grazing turnover of bacteria described in Wright, R.T. and R.B. Coffin. 1984. Measurements of bacterial production and microzooplankton in an estuarinecoastal water system of northern Massachusetts. Microbial Ecology 10: 137149. 
20170425 
S050153 
processing following SCOR protocol 
A pigment concentration data protocol defined in Jeffrey SW, Humphrey SF (1975) New spectrophotometric equations for determining chlorophylls a, b, c1 and c2 in higher plants, algae and phytoplankton. Biochem. Biophysiol. Planzen, 167, 191194. 
20170425 
S050026 
processing following the Lorenzen protocol 
Protocol described in Lorenzen, C.J. (1967), Determination of chlorophyll and pheopigments: spectrophotometric equations. Limnology and Oceanography, 12(2), 343346. 
20161109 
S050225 
processing in near realtime 
The data have been transformed using only fully automated data processing techniques and within the constraints of a nearreal time data system with respect to transmission volume and processing power. 
20200629 
S050018 
profile integration 
Integration of a series of values of an observed property from the surface to the integration depth (specified elsewhere), usually to provide a measurement per unit area. 
20161109 
S050001 
protocol of Rasmussen et al. (2006) 
Protocol described in Rasmussen, S.O. et al. (2006), A new Greenland ice core chronology for the last glacial termination. Journal of Geophysical Research, 111, D06102. 
20080630 
S050155 
recomputation to potential temperature using pCO2*EXP((Theta  T)*0.0423) 
A partial pressure of CO2 data proccessing method where the data are recalculated to a potential temperature scale using the equation pCO2new = pCO2old * EXP((potential temperature  temperature) * 0.0423) 
20170425 
S050156 
recomputation to water location at fixed time using POL NSP model 
A positional data processing method which recomputes the position a sample was taken at to the water location at a fixed time as outlined in Jones (1991). A general purpose model for the North Sea project. NERC News 16: 2526. 
20170425 
S050157 
salt correction 
A sediment density data processing protocol in which the mass of the dried sample has been corrected for the presence of salt from the water driven off during srying 
20170425 
S050158 
smoothed 
The irradiance field is smoothed as it is defined by an integral smoothing function. 
20170425 
S050159 
standardisation to NBS scale 
The measurements have been standardised to the appropriate scale defined by the United States National Institute of Standards and Technology (formerly the National Standards Bureau). 
20170425 
S050162 
subtraction of Synechococcus+Prochlorococcus from total bacteria 
Simple differencing to determine heterotrophic bacteria abundance from determinations of total bacteria and of Synechococcus+Prochlorococcus. 
20170425 
S050161 
subtraction of measured atmospheric pressure and conversion to depth using unspecified algorithm 
A depth data processing protocol in which the the recorded pressure at depth is corrected for atmospheric pressure and the resulting value is converted to depth using an unknown algorithm. 
20170425 
S050031 
subtraction of nominal ambient pressure value 
The data presented represent those recorded by the instrument minus a nominal ambient pressure. 
20170425 
S050163 
subtraction of tidal height sensor2 value from tidal height sensor1 value 
The value has been obtained by differencing simulataneous measurements from duplicate sensors. 
20170425 
S050164 
subtraction of value predicted by tidal analysis 
A residual value of pressure, sea level or current vectors has been computed by subtracting values computed using an unspecified tidal analysis algorithm from the measured values. 
20170425 
S050016 
summation of sizefractionated values 
Sum of measurements made on each filter in a filter cascade. 
20161109 
S050029 
summation of sizefractionated values and profile integration 
Integration of a series of summed of measurements made on each filter in a filter cascade different depths from the surface to the integration depth (specified elsewhere), usually to provide a measurement per unit area. 
20161109 
S050166 
summation of sizefractions and differencing results from acidified and unacidified samples 
The data presented are the result of differencing the outcomes of both acidified and unacidified experiments and the integration of data from the complete size range. 
20170425 
S050165 
summation of staged leachate analyses 
The overall concentration has been determined by adding together concentrations of the analyte in different chemical states as determined following a sequential leaching protocol. This record was initially set up for the protocols described in Chester et al 1988 (https://doi.org/10.1016/03044203(88)900369). This reference was removed on 05/08/2019 making this data processing record applicable to any sequential leaching protocols. 
20190805 
S050167 
summation of vehicle depth below water column surface and height above bed 
Water column depth has been determined by adding together measurements of distance to bed and distance to surface taken by an underwater vehicle. 
20170425 
S050028 
synthesis from multiple satellite sensors 
Synthesis of calibrated data from multiple sensors on one or more satellite platforms. 
20161109 
S050169 
taking the average value from two or more sensors 
The data value has been derived by averaging the simultaneous values recorded by multiple sensors. 
20170425 
S050170 
taking the maximum value from two or more sensors 
The data value has been derived by taking the highest simultaneous value recorded by multiple sensors. Generally used for shipborne radiometer data to minimise artefacts caused by shading. 
20170425 
S050171 
tidal analysis 
An unspecified protocol has been used to determine tidal harmonic constants from the measured time series and these constants have been used to compute the proportion of the measured value due to tides. 
20170425 
S050211 
transformation from OSGB36 easting 
A geometric transformation has been applied to convert positions from Ordnance Survey Great Britain 1936 easting reading. 
20190125 
S050212 
transformation from OSGB36 northing 
A geometric transformation has been applied to convert positions from Ordnance Survey Great Britain 1936 northing reading. 
20190125 
S050172 
transformation from WGS84 to Irish National Grid Reference System 
A geometric transformation has been applied to convert positions from a 3D geographic CRS to a national standard projection. 
20170425 
S050173 
unspecified prediction algorithm 
An unspecified computational prediction protocol has been used to derive the data values based on a theoretical model. 
20170425 
S050189 
upcrossing analysis 
Refers to wave analysis performed on the section of the record where the waveform crosses the zero axis formed by the record average level from negative to positive. 
20180716 
S050207 
using 0 or 1 binary classification 
The value of a boolean data type is represented using 0 for boolean false and 1 for boolean true. 
20180926 
S050208 
using P or N binary classification 
The value of a boolean data type is represented using N for boolean false (eg absence) and P for boolean true (eg presence). 
20180926 
S050203 
using the delta notation 
The isotope composition is reported using the delta notation for stable isotope fractionation defined as the deviation of the isotope ratio of a sample relative to a standard
in parts per thousand (((Rsample  Rstandard)/Rstandard)x1000). 
20180809 
S050202 
using the epsilon notation 
The isotope composition is reported using the epsilon notation for stable isotope fractionation defined as the deviation of the isotope ratio of a sample relative to a standard
in parts per ten thousand (((Rsample  Rstandard)/Rstandard)x10000). 
20180809 
S050174 
verification against independent measurements 
The values have been checked and if necessary adjusted using data collected by another instrument measuring the parameter of interest adjacent to the instrument whilst it was making its measurements. Examples are verification of CTD temperatures using rev 
20170425 
S050149 
volume computation from mass and mean density 
A sediment pore water data processing protocol which involves taking the mass of the sample before and after drying and takes into account the mean density of the sediment. 
20170425 
S050150 
volume computation from weight loss on drying and salt correction 
A sediment pore water data processing protocol which involves taking the mass of the sample before and after drying and takes into account the salinity of the water driven off from the sample during drying. 
20170425 