amundsen

Amundsen Science.

This module contains the parser for the Amundsen INT format. This format is used to store oceanographic data generated by the Amundsen Science and ArcticNet programs.

csv_format(path, encoding='UTF-8', map_to_vocabulary=True, generate_depth=True, separator=',', encoding_error='strict')

Parse Amundsen CSV format.

Parameters:

Name	Type	Description	Default
path	str	file path to parse.	required
encoding	str	File encoding. Defaults to "Windows-1252".	'UTF-8'
map_to_vocabulary	bool	Rename variables to vocabulary. Defaults to True.	True
generate_depth	bool	Generate depth variable. Defaults to True.	True
separator	str	Separator for the data. Defaults to r",".	','
encoding_error	str	Encoding error handling. Defaults to "strict".	'strict'

Returns:

Type	Description
Dataset	xr.Dataset

Source code in ocean_data_parser/parsers/amundsen.py

def csv_format(
    path: str,
    encoding: str = "UTF-8",
    map_to_vocabulary: bool = True,
    generate_depth: bool = True,
    separator: str = ",",
    encoding_error="strict",
) -> xr.Dataset:
    """Parse Amundsen CSV format.

    Args:
        path (str): file path to parse.
        encoding (str, optional): File encoding. Defaults to "Windows-1252".
        map_to_vocabulary (bool, optional): Rename variables to vocabulary. Defaults to True.
        generate_depth (bool, optional): Generate depth variable. Defaults to True.
        separator (str, optional): Separator for the data. Defaults to r",".
        encoding_error (str, optional): Encoding error handling. Defaults to "strict".

    Returns:
        xr.Dataset
    """
    return int_format(
        path=path,
        encoding=encoding,
        map_to_vocabulary=map_to_vocabulary,
        generate_depth=generate_depth,
        separator=separator,
        encoding_error=encoding_error,
    )

int_format(path, encoding='Windows-1252', map_to_vocabulary=True, generate_depth=True, separator='\\s+', encoding_error='strict')

Parse Amundsen INT format.

Parameters:

Name	Type	Description	Default
path	str	file path to parse.	required
encoding	str	File encoding. Defaults to "Windows-1252".	'Windows-1252'
map_to_vocabulary	bool	Rename variables to vocabulary. Defaults to True.	True
generate_depth	bool	Generate depth variable. Defaults to True.	True
separator	str	Separator for the data. Defaults to r"\s+".	'\\s+'
encoding_error	str	Encoding error handling. Defaults to "strict".	'strict'

Returns:

Type	Description
Dataset	xr.Dataset

Source code in ocean_data_parser/parsers/amundsen.py

def int_format(
    path: str,
    encoding: str = "Windows-1252",
    map_to_vocabulary: bool = True,
    generate_depth: bool = True,
    separator: str = r"\s+",
    encoding_error="strict",
) -> xr.Dataset:
    r"""Parse Amundsen INT format.

    Args:
        path (str): file path to parse.
        encoding (str, optional): File encoding. Defaults to "Windows-1252".
        map_to_vocabulary (bool, optional): Rename variables to vocabulary. Defaults to True.
        generate_depth (bool, optional): Generate depth variable. Defaults to True.
        separator (str, optional): Separator for the data. Defaults to r"\s+".
        encoding_error (str, optional): Encoding error handling. Defaults to "strict".

    Returns:
        xr.Dataset
    """
    metadata = default_global_attributes.copy()

    # Ignore info.int files
    if path.endswith("_info.int"):
        logger.warning("Ignore *_info.int files: {}", path)
        return

    logger.debug("Read {}", path)
    with open(path, encoding=encoding, errors=encoding_error) as file:
        # Parse header
        for header_line_idx, line in enumerate(file):
            line = line.rstrip()
            if re.match(r"^%\s*$", line) or not line:
                continue
            elif (
                line and not re.match(r"\s*%", line) and (line[0] == " " or "," in line)
            ):
                break
            elif ":" in line:
                key, value = line.strip()[1:].split(":", 1)
                metadata[key.strip()] = value.strip()
            elif line in VARIABLE_MAPPING_FIXES:
                metadata[VARIABLE_MAPPING_FIXES[line]] = line[2:]
            elif re.match(r"% .* \[.+\]", line):
                logger.warning(
                    "Unknown variable name will be saved to unknown_variables_information: {}",
                    line,
                )
                metadata["unknown_variables_information"] += line + "\n"
            else:
                logger.warning("Unknown line format: {}", line)

        # Review metadata
        if metadata == default_global_attributes:
            logger.warning("No metadata was captured in the header of the INT file.")

    # Parse data
    if separator == r"\s+":
        # Fix problematic variable names
        for name, fixed_name in REPLACE_VARIABLES.items():
            line = line.replace(name, fixed_name)
        names = re.split(r"\s+", line.strip())
    elif separator == ",":
        names = line.strip().split(",")

    if len(set(names)) != len(names):
        duplicated = {name: n for name, n in Counter(names).items() if n > 1}
        logger.warning("Duplicated variable names detected: {}", duplicated)
        # Add index to duplicate names
        new_names = []
        for name in names:
            if name not in new_names:
                new_names.append(name)
            else:
                new_names.append(f"{name}_{new_names.count(name)}")
        names = new_names

    df = pd.read_csv(
        path,
        encoding=encoding,
        header=header_line_idx,
        skiprows=[header_line_idx] if separator == r"\s+" else [],
        sep=separator,
        names=names,
        encoding_errors=encoding_error,
    )
    if len(df.columns) != len(names):
        raise ValueError(
            f"Number of columns ({len(df.columns)}) doesn't match the number of variables ({len(names)})"
        )

    # Sort column attributes
    variables = _extract_variable_attributes_from_header(metadata, df.columns)
    if "Date" in df and "Hour" in df:
        df = _convert_timestamp(df)

    # Convert to xarray object
    ds = df.to_xarray()

    # Standardize global attributes
    ds.attrs = {
        _standardize_attribute_name(name): _standardize_attribute_value(
            value, name=name
        )
        for name, value in metadata.items()
    }

    # Fix global attribute
    ds = _fix_station_global_attribute(ds)

    # Generate instrument_depth variable
    pressure = [var for var in ds if var in ("Pres", "PRES")]
    if (
        generate_depth
        and pressure
        and ("Lat" in ds or "initial_latitude_deg" in ds.attrs)
    ):
        logger.info(
            "Generate instrument_depth from TEOS-10: -1 * gsw.z_from_p(ds['Pres'], {})",
            "ds['Lat']" if "Lat" in ds else "ds.attrs['initial_latitude_deg']",
        )
        ds["instrument_depth"] = -z_from_p(
            ds[pressure[0]],
            ds["Lat"] if "Lat" in ds else ds.attrs["initial_latitude_deg"],
        )

    # Map variables to vocabulary
    file_type = _get_file_type(path)
    variables_vocabulary = amundsen_vocabulary(file_type)
    variables_to_rename = {}
    for var in ds:
        if var not in variables or re.sub(r"_\d+$", "", var) in IGNORED_VARIABLES:
            continue

        ds[var].attrs = variables[var]
        if "long_name" in ds[var].attrs:
            ds[var].attrs["long_name"] = ds[var].attrs["long_name"].strip()

        # Include variable attributes from the vocabulary
        if not map_to_vocabulary:
            continue
        elif var not in variables_vocabulary:
            logger.warning(
                "No vocabulary is available for variable mapping '{}': {}",
                var,
                ds[var].attrs,
            )
            continue

        # Match vocabulary
        var_units = ds[var].attrs.get("units")
        for item in variables_vocabulary[var]:
            accepted_units = item.get("accepted_units")
            if (
                var_units is None  # Consider first if no units
                or var_units == item.get("units")
                or (
                    accepted_units
                    and (
                        re.fullmatch(accepted_units, var_units)
                        or "None" in accepted_units.split("|")
                    )
                )
            ):
                if "rename" in item:
                    variables_to_rename[var] = item["rename"]

                ds[var].attrs = {
                    key: value
                    for key, value in item.items()
                    if key not in ["accepted_units", "rename", "file_type"]
                }
                if "apply_function" in ds[var].attrs:
                    ds = apply_function(ds, var)
                break
        else:
            logger.warning(
                "No Vocabulary available for {} [{}]: {}",
                var,
                var_units,
                str(ds[var].attrs),
            )

    # Review rename variables
    already_existing_variables = {
        var: rename for var, rename in variables_to_rename.items() if rename in ds
    }
    if already_existing_variables:
        logger.error(
            "Can't rename variable {} since it already exist",
            already_existing_variables,
        )

    if variables_to_rename:
        logger.info("Rename variables: {}", variables_to_rename)
        ds = ds.rename(variables_to_rename)

    # Assign dimensions only after renaming variables
    ds = _assign_dimensions(ds, instrument=file_type)

    # Standardize dataset to be compatible with ERDDAP and NetCDF Classic
    ds = standardize_dataset(ds)
    return ds

Rosette Vocabulary

variable_name	long_name	units	standard_name	sdn_parameter_urn	sdn_uom_urn	alternative_label	rename	sdn_parameter_name	sdn_uom_name	accepted_units	apply_function	Units
Pres	Sea Pressure	decibars	sea_water_pressure_due_to_sea_water	SDN:P01::PRESPR01	SDN:P06::UPDB	Pres_Z	PRES	Pressure (spatial coordinate) exerted by the water body by profiling pressure sensor and correction to read zero at sea level	Decibars	nan	nan	nan
PresPar	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan
PRES	Sea Pressure	decibars	sea_water_pressure_due_to_sea_water	SDN:P01::PRESPR01	SDN:P06::UPDB	Pres_Z	nan	Pressure (spatial coordinate) exerted by the water body by profiling pressure sensor and correction to read zero at sea level	Decibars	nan	nan	nan
DEPH	Depth	m	depth	SDN:P01::ADEPZZ01	SDN:P06::ULAA	Depth	depth	Depth (spatial coordinate) relative to water surface in the water body	Metres	nan	nan	nan
Temp	Temperature (ITS-90)	degC	sea_water_temperature	SDN:P01::TEMPS901	SDN:P06::UPAA	CTDTmp90	TE90	Temperature (ITS-90) of the water body by CTD or STD	Degrees Celsius	degC	deg C	degrees C
TE90	Temperature (ITS-90)	degC	sea_water_temperature	SDN:P01::TEMPS901	SDN:P06::UPAA	CTDTmp90	nan	Temperature (ITS-90) of the water body by CTD or STD	Degrees Celsius	degC	deg C	degrees C
Sal	Practical Salinity	PSU	sea_water_practical_salinity	SDN:P01::PSALST01	SDN:P06::PSUX	P_sal_CTD	PSAL	Practical salinity of the water body by CTD and computation using UNESCO 1983 algorithm	Practical salinity units	PSU	psu	1e-3
PSAL	Practical Salinity	PSU	sea_water_practical_salinity	SDN:P01::PSALST01	SDN:P06::PSUX	P_sal_CTD	nan	Practical salinity of the water body by CTD and computation using UNESCO 1983 algorithm	Practical salinity units	PSU	psu	1e-3
TRB_	Turbidity	NTU	sea_water_turbidity	SDN:P01::TURBXXXX	SDN:P06::USTU	Turbidity	TRB	Turbidity of water in the water body	Nephelometric Turbidity Units	NTU	nan	nan
TURB	Turbidity	FTU	sea_water_turbidity	SDN:P01::TURBXXXX	SDN:P06::UFNU	Turbidity	nan	Turbidity of water in the water body	Formazin Nephelometric Units	FTU	nan	nan
DateTime	nan	YYYY-MM-DDThhss.sssZ	nan	SDN:P01::DTUT8601	SDN:P06::UYMD	time	time	Date and time (UT in ISO8601 format to known precision)	Gregorian date (yyyymmdd)	nan	nan	nan
Lat	Latitude	degrees_north	latitude	SDN:P01::ALATZZ01	SDN:P06::DEGN	nan	latitude	Latitude north	Degrees north	degrees N	nan	nan
Long	Longitude	degrees_east	longitude	SDN:P01::ALONZZ01	SDN:P06::DEGE	Lon	longitude	Longitude east	Degrees east	degrees E	nan	nan
Lon	Longitude	degrees_east	longitude	SDN:P01::ALONZZ01	SDN:P06::DEGE	Lon	longitude	Longitude east	Degrees east	degrees E	nan	nan
Trans	Light Transmission	%	nan	SDN:P01::POPTDR01	SDN:P06::UPCT	Trans_Red_25cm	TRAN	Transmittance (red light wavelength) per 25cm of the water body by 25cm path length red light transmissometer	Percent	nan	nan	nan
Tran	Light Transmission	%	nan	SDN:P01::POPTDR01	SDN:P06::UPCT	Trans_Red_25cm	TRAN	Transmittance (red light wavelength) per 25cm of the water body by 25cm path length red light transmissometer	Percent	nan	nan	nan
TRAN	Light Transmission	%	nan	SDN:P01::POPTDR01	SDN:P06::UPCT	Trans_Red_25cm	nan	Transmittance (red light wavelength) per 25cm of the water body by 25cm path length red light transmissometer	Percent	nan	nan	nan
Fluo	chl-a fluorescence	ug/L	mass_concentration_of_chlorophyll_a_in_sea_water	SDN:P01::CPHLPR01	SDN:P06::UGPL	chla_water_ISfluor	FLOR	Concentration of chlorophyll-a {chl-a CAS 479-61-8} per unit volume of the water body [particulate >unknown phase] by in-situ chlorophyll fluorometer	Micrograms per litre	ug/L	mg/m\^3	nan
FLOR	chl-a fluorescence	ug/L	mass_concentration_of_chlorophyll_a_in_sea_water	SDN:P01::CPHLPR01	SDN:P06::UGPL	chla_water_ISfluor	nan	Concentration of chlorophyll-a {chl-a CAS 479-61-8} per unit volume of the water body [particulate >unknown phase] by in-situ chlorophyll fluorometer	Micrograms per litre	ug/L	mg/m\^3	mg/m**3'
DOXY	Dissolved Oxygen	uM	mole_concentration_of_dissolved_molecular_oxygen_in_sea_water	SDN:P01::DOXYZZ01	SDN:P06::UPOX	WC_dissO2_IS	OXYM	Concentration of oxygen {O2 CAS 7782-44-7} per unit volume of the water body [dissolved plus reactive particulate phase] by in-situ sensor	Micromoles per litre	ml/l	x*44.661	nan
O2	Dissolved Oxygen	uM	mole_concentration_of_dissolved_molecular_oxygen_in_sea_water	SDN:P01::DOXYZZ01	SDN:P06::UPOX	WC_dissO2_IS	OXYM	Concentration of oxygen {O2 CAS 7782-44-7} per unit volume of the water body [dissolved plus reactive particulate phase] by in-situ sensor	Micromoles per litre	uM	µM	µM
O2	Dissolved Oxygen	uM	mole_concentration_of_dissolved_molecular_oxygen_in_sea_water	SDN:P01::DOXYZZ01	SDN:P06::UPOX	WC_dissO2_IS	OXYM	Concentration of oxygen {O2 CAS 7782-44-7} per unit volume of the water body [dissolved plus reactive particulate phase] by in-situ sensor	Micromoles per litre	ml/l	x*44.661	nan
OXYM	Dissolved Oxygen	uM		µM	µM	mole_concentration_of_dissolved_molecular_oxygen_in_sea_water	SDN:P01::DOXYZZ01	SDN:P06::UPOX	WC_dissO2_IS	nan	Concentration of oxygen {O2 CAS 7782-44-7} per unit volume of the water body [dissolved plus reactive particulate phase] by in-situ sensor	Micromoles per litre
ASAL	Absolute Salinity (TEOS-10)	g/kg	sea_water_absolute_salinity	SDN:P01::ASLTZZ01	SDN:P06::UGKG	A_sal	nan	Absolute salinity of the water body	Grams per kilogram	nan	nan	nan
Asal	Absolute Salinity TEOS-10	g/kg	sea_water_absolute_salinity	SDN:P01::ASLTZZ01	SDN:P06::UGKG	A_sal	ASAL	Absolute salinity of the water body	Grams per kilogram	nan	nan	nan
Sigt	Sigma-T	kg/m^3	sea_water_sigma_t	SDN:P01::SIGTEQST	SDN:P06::UKMC	SigmaT	SIGT	Sigma-T of the water body by computation from salinity and temperature using UNESCO algorithm	Kilograms per cubic metre	nan	nan	nan
SIGT	Sigma-T	kg/m^3	sea_water_sigma_t	SDN:P01::SIGTEQST	SDN:P06::UKMC	SigmaT	nan	Sigma-T of the water body by computation from salinity and temperature using UNESCO algorithm	Kilograms per cubic metre	nan	nan	nan
sigt	Sigma-T	kg/m^3	sea_water_sigma_t	SDN:P01::SIGTEQST	SDN:P06::UKMC	Sigma-T	SIGT	Sigma-T of the water body by computation from salinity and temperature using UNESCO algorithm	Kilograms per cubic metre	nan	nan	nan
sigthe	Sigma-Theta (Rho(S, Theta, 0)-1000)	kg/m^3	sea_water_sigma_theta	SDN:P01::SIGTEQ01	SDN:P06::UKMC	SigmaTheta	SIGP	Sigma-theta of the water body by computation from salinity and potential temperature using UNESCO algorithm	Kilograms per cubic metre	nan	nan	nan
Sigthe	Sigma-Theta (Rho(S, Theta, 0)-1000)	kg/m^3	sea_water_sigma_theta	SDN:P01::SIGTEQ01	SDN:P06::UKMC	SigmaTheta	SIGP	Sigma-theta of the water body by computation from salinity and potential temperature using UNESCO algorithm	Kilograms per cubic metre	nan	nan	nan
Dens	Sigma-T (Rho (S, T, 0) - 1000)	kg/m^3	sea_water_sigma_t	nan	nan	nan	nan	nan	nan	kg/m^3	kg/m**3	nan
N2	Brunt-Vaisala Frequency	s^-2	square_of_brunt_vaisala_frequency_in_sea_water	nan	nan	nan	nan	nan	nan	nan	nan	nan
Theta	Potential Temperature	degC	sea_water_potential_temperature	nan	nan	theta	nan	nan	nan	degC	deg C	nan
theta	Potential Temperature	degC	sea_water_potential_temperature	nan	nan	nan	nan	nan	nan	nan	nan	nan
CDOM	CDOM fluorescence	mg/m^3	concentration_of_colored_dissolved_organic_matter_in_sea_water_expressed_as_equivalent_mass_fraction_of_quinine_sulfate_dihydrate	SDN:P01::CCOMD002	SDN:P06::UMMC	CDOM_fluor_WETLabs	nan	Concentration of coloured dissolved organic matter {CDOM Gelbstoff} per unit volume of the water body [dissolved plus reactive particulate phase] by in-situ WET Labs FDOM ECO fluorometer	Milligrams per cubic metre	mg/m^3	mg/m**3	nan
Cdom	CDOM fluorescence	mg/m^3	concentration_of_colored_dissolved_organic_matter_in_sea_water_expressed_as_equivalent_mass_fraction_of_quinine_sulfate_dihydrate	nan	SDN:P06::UMMC	CDOM_fluor_WETLabs	CDOM	nan	Milligrams per cubic metre	nan	nan	nan
NO3	Nitrate (NO3-N)	mmol/m^3	mole_concentration_of_nitrate_in_sea_water	SDN:P01::NTRAZZXX	SDN:P06::MMCM	nan	NTRA	Concentration of nitrate {NO3- CAS 14797-55-8} per unit volume of the water body [unknown phase]	Millimoles per cubic metre	mmol/m^3	mmol/m**3	nan
Ntra	Nitrate (NO3-N)	mmol/m^3	mole_concentration_of_nitrate_in_sea_water	SDN:P01::NTRAZZXX	SDN:P06::MMCM	NO3	NTRA	Concentration of nitrate {NO3- CAS 14797-55-8} per unit volume of the water body [unknown phase]	Millimoles per cubic metre	nan	nan	nan
Nitrate	Nitrate (NO3-N)	mmol/m^3	mole_concentration_of_nitrate_in_sea_water	SDN:P01::NTRAZZXX	SDN:P06::MMCM	NO3	NTRA	Concentration of nitrate {NO3- CAS 14797-55-8} per unit volume of the water body [unknown phase]	Millimoles per cubic metre	nan	nan	nan
NTRA	Nitrate (NO3-N)	mmol/m^3	mole_concentration_of_nitrate_in_sea_water	SDN:P01::NTRAZZXX	SDN:P06::MMCM	NO3	nan	Concentration of nitrate {NO3- CAS 14797-55-8} per unit volume of the water body [unknown phase]	Millimoles per cubic metre	nan	nan	nan
Par	Sea Water PAR	uEinsteins/s/m^2	downwelling_photosynthetic_photon_flux_in_sea_water	SDN:P01::IRRDUV01	SDN:P06::UMES	SubsurVPAR	PSAR	Downwelling vector irradiance as photons of electromagnetic radiation (PAR wavelengths) in the water body by cosine-collector radiometer	MicroEinsteins per square metre per second	uEinsteins/s/m\^2	ueinsteins/s/m\^2	ueinsteins/s/m**2
PSAR	Sea Water PAR	uEinsteins/s/m^2	downwelling_photosynthetic_photon_flux_in_sea_water	SDN:P01::IRRDUV01	SDN:P06::UMES	SubsurVPAR	nan	Downwelling vector irradiance as photons of electromagnetic radiation (PAR wavelengths) in the water body by cosine-collector radiometer	MicroEinsteins per square metre per second	uEinsteins/s/m\^2	ueinsteins/s/m\^2	ueinsteins/s/m**2
SPar	Surface PAR	uEinsteins/s/m^2	surface_downwelling_photosynthetic_photon_flux_in_sea_water	SDN:P01::IRRDSV01	SDN:P06::UMES	SurfVPAR	SPAR	Downwelling vector irradiance as photons of electromagnetic radiation (PAR wavelengths) in the atmosphere by cosine-collector radiometer	MicroEinsteins per square metre per second	uEinsteins/s/m\^2	ueinsteins/s/m\^2	ueinsteins/s/m**2
SPAR	Surface PAR	uEinsteins/s/m^2	surface_downwelling_photosynthetic_photon_flux_in_sea_water	SDN:P01::IRRDSV01	SDN:P06::UMES	SurfVPAR	nan	Downwelling vector irradiance as photons of electromagnetic radiation (PAR wavelengths) in the atmosphere by cosine-collector radiometer	MicroEinsteins per square metre per second	uEinsteins/s/m\^2	ueinsteins/s/m\^2	ueinsteins/s/m**2
pH	Sea water pH	1	sea_water_ph_reported_on_total_scale	SDN:P01::PHMASSXX	SDN:P06::UUPH	nan	nan	pH (total scale) {pH[T]} of the water body	pH units	nan	nan	nan
Bottle	nan	nan	nan	nan	nan	BOPO	nan	nan	nan	nan	nan	None
PrDM	Sea Pressure (Sea Surface - 0)	decibars	sea_water_pressure_due_to_sea_water	SDN:P01::PRESPR01	SDN:P06::UPDB	Pres_Z	PRES	Pressure (spatial coordinate) exerted by the water body by profiling pressure sensor and correction to read zero at sea level	Decibars	nan	nan	nan
T090C	Temperature (ITS-90)	degC	sea_water_temperature	SDN:P01::TEMPS901	SDN:P06::UPAA	CTDTmp90	TE90	Temperature (ITS-90) of the water body by CTD or STD	Degrees Celsius	degC	deg C	degrees C
T190C	Temperature (ITS-90)	degC	sea_water_temperature	SDN:P01::TEMPS902	SDN:P06::UPAA	CTDTmp90_2	TE90	Temperature (ITS-90) of the water body by CTD or STD (second sensor)	Degrees Celsius	degC	deg C	degrees C
WetCDOM	CDOM fluorescence	mg/m^3	concentration_of_colored_dissolved_organic_matter_in_sea_water_expressed_as_equivalent_mass_fraction_of_quinine_sulfate_dihydrate	SDN:P01::CCOMD002	SDN:P06::UMMC	CDOM_fluor_WETLabs	CDOM	Concentration of coloured dissolved organic matter {CDOM Gelbstoff} per unit volume of the water body [dissolved plus reactive particulate phase] by in-situ WET Labs FDOM ECO fluorometer	Milligrams per cubic metre	nan	nan	nan
Sal00	Practical Salinity	PSU	sea_water_practical_salinity	SDN:P01::PSALST01	SDN:P06::PSUX	P_sal_CTD	PSAL	Practical salinity of the water body by CTD and computation using UNESCO 1983 algorithm	Practical salinity units	PSU	psu	1e-3
FlSP	chl-a fluorescence	ug/L	mass_concentration_of_chlorophyll_a_in_sea_water	SDN:P01::CPHLPR01	SDN:P06::UGPL	chla_water_ISfluor	FLOR	Concentration of chlorophyll-a {chl-a CAS 479-61-8} per unit volume of the water body [particulate >unknown phase] by in-situ chlorophyll fluorometer	Micrograms per litre	ug/L	mg/m\^3	nan
Sigma-t00	Sigma-T Rho(S, T, 0)-1000	kg/m^3	sea_water_sigma_t	SDN:P01::SIGTEQST	SDN:P06::UKMC	SigmaT	SIGT	Sigma-T of the water body by computation from salinity and temperature using UNESCO algorithm	Kilograms per cubic metre	nan	nan	nan
Sigma-é00	Sigma-Theta (Rho(S, Theta, 0)-1000)	kg/m^3	sea_water_sigma_theta	SDN:P01::SIGTEQ01	SDN:P06::UKMC	SigmaTheta	SIGP	Sigma-theta of the water body by computation from salinity and potential temperature using UNESCO algorithm	Kilograms per cubic metre	nan	nan	nan
Spar	Surface Photosynthetic Active Radiation	uEinsteins/s/m^2	surface_downwelling_photosynthetic_photon_flux_in_sea_water	SDN:P01::IRRDSV01	SDN:P06::UMES	SurfVPAR	SPAR	Downwelling vector irradiance as photons of electromagnetic radiation (PAR wavelengths) in the atmosphere by cosine-collector radiometer	MicroEinsteins per square metre per second	uEinsteins/s/m\^2	µeinsteins/s/m\^2	nan
Sbeox0Mm/L	Dissolved Oxygen	uM	mole_concentration_of_dissolved_molecular_oxygen_in_sea_water	SDN:P01::DOXYZZ01	SDN:P06::UPOX	WC_dissO2_IS	OXYM	Concentration of oxygen {O2 CAS 7782-44-7} per unit volume of the water body [dissolved plus reactive particulate phase] by in-situ sensor	Micromoles per litre	nan	nan	nan
CStarAt0	Light Transmission	%	nan	SDN:P01::POPTDR01	SDN:P06::UPCT	Trans_Red_25cm	nan	Transmittance (red light wavelength) per 25cm of the water body by 25cm path length red light transmissometer	Percent	nan	nan	nan
Latitude	Latitude	nan	latitude	SDN:P01::ALATZZ01	SDN:P06::DEGN	nan	latitude	Latitude north	Degrees north	nan	nan	nan
Longitude	Longitude	nan	longitude	SDN:P01::ALONZZ01	SDN:P06::DEGE	Lon	longitude	Longitude east	Degrees east	nan	nan	nan
Upoly0	Nitrate (NO3-N)	mmol/m^3	mole_concentration_of_nitrate_in_sea_water	SDN:P01::NTRAZZXX	SDN:P06::MMCM	nan	NTRA	Concentration of nitrate {NO3- CAS 14797-55-8} per unit volume of the water body [unknown phase]	Millimoles per cubic metre	nan	nan	nan