Pan-European infrastructure for ocean & marine data management

P01 Vocabulary - Facet Search on Semantic Components

P01 Vocabulary - Facet Search on Semantic Components

The P01 Parameter Usage Vocabulary is based on a semantic model. This model uses a defined set of controlled vocabularies (the semantic components). The Facet Search below facilitates you to search for specific existing P01 terms using components for drilling down.

Are you missing specific P01 terms in the vocabulary, then you can compose and submit new terms for review and uptake using the P01 Vocabulary Builder tool.

Conceptid (165)Preflabel
ABS440MSAbsorbance of electromagnetic radiation (440nm wavelength) {light absorbance} by the wet sediment by model prediction
ABS440MWAbsorbance of electromagnetic radiation (440nm wavelength) {light absorbance} by the water body by model prediction
ADEPMP01Depth (spatial coordinate) of Secchi disk relative to water surface in the water body by model prediction
ALKYMP01Total alkalinity per unit volume of the water body by model prediction
ALKYMP02Total alkalinity per unit volume of the sediment pore water by model prediction
AMONMOD1Concentration of ammonium {NH4+ CAS 14798-03-9} per unit volume of the water body [dissolved plus reactive particulate phase] by model prediction
AMONSMODProduction rate of ammonium {NH4+ CAS 14798-03-9} per day per unit volume of the sediment pore water [dissolved plus reactive particulate phase] by model prediction
AMONSPM1Concentration of ammonium {NH4+ CAS 14798-03-9} per unit volume of the sediment pore water [dissolved plus reactive particulate phase] by model prediction
AMONWMODProduction rate of ammonium {NH4+ CAS 14798-03-9} per day per unit volume of the water body [dissolved plus reactive particulate phase] by model prediction
ARGTMOD1Saturation state of aragonite {CAS 14791-73-2} in the water body by model prediction
ARGTMODSSaturation state of aragonite {CAS 14791-73-2} in the sediment pore water by model prediction
ASLVMP01Surface elevation relative to mean sea level of the water body by model prediction
ATTNMP01Attenuation of electromagnetic radiation (490nm wavelength) per unit length of the water body by model prediction
ATTNMP03Attenuation of electromagnetic radiation (490nm wavelength) per unit length of the sediment pore water by model prediction
BCRBMOD1Concentration of bicarbonate {HCO3- CAS 71-52-3} per unit volume of the water body by model prediction
BCRBMODSConcentration of bicarbonate {HCO3- CAS 71-52-3} per unit volume of the sediment pore water by model prediction
BODMOD01Biochemical oxygen demand {BOD} per unit volume of the water body by model prediction
BODMOD02Biochemical oxygen demand {BOD} per unit volume of the wet sediment by model prediction
BS550MPSAttenuation due to backscatter of electromagnetic radiation (550nm wavelength) by the wet sediment by model prediction
BS550MPWAttenuation due to backscatter of electromagnetic radiation (550nm wavelength) by the water body by model prediction
CALMOD01Net production rate monthly mean of calcium carbonate {CaCO3 CAS 471-34-1} {calcification rate} per unit time per unit area of the bed by model prediction
CALMOD02Net production rate of calcium carbonate {CaCO3 CAS 471-34-1} {calcification rate} per unit time per unit area of the bed by model prediction
CCO2MOD1Concentration of carbon dioxide {CO2 CAS 124-38-9} per unit volume of the atmosphere by model prediction
CDIURMD1Concentration of diuron {3-(3,4-dichlorophenyl)-1,1-dimethylurea CAS 330-54-1} per unit volume of the water body by model prediction