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Metadata Report for BODC Series Reference Number 2053014


Metadata Summary

Data Description

Data Category Water sample data
Instrument Type
NameCategories
Niskin bottle  discrete water samplers
SEAL Analytical QuAAtro Autoanalyser  autoanalysers; spectrophotometers
Lachat QuikChem 8500 flow injection analysis system  flow injection analysers
Instrument Mounting lowered unmanned submersible
Originating Country United Kingdom
Originator Mr Tim Brand
Originating Organization Scottish Association for Marine Science
Processing Status banked
Online delivery of data Download available - Ocean Data View (ODV) format
Project(s) Changing Arctic Ocean
 

Data Identifiers

Originator's Identifier JR18006_CTD_NUTS_304:CTD003
BODC Series Reference 2053014
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2019-07-07 16:39
End Time (yyyy-mm-dd hh:mm) -
Nominal Cycle Interval -
 

Spatial Co-ordinates

Latitude 74.50029 N ( 74° 30.0' N )
Longitude 30.00064 E ( 30° 0.0' E )
Positional Uncertainty 0.0 to 0.01 n.miles
Minimum Sensor or Sampling Depth 2.5 m
Maximum Sensor or Sampling Depth 354.1 m
Minimum Sensor or Sampling Height 4.5 m
Maximum Sensor or Sampling Height 356.1 m
Sea Floor Depth 358.6 m
Sea Floor Depth Source SCILOG
Sensor or Sampling Distribution Unspecified -
Sensor or Sampling Depth Datum Unspecified -
Sea Floor Depth Datum Instantaneous - Depth measured below water line or instantaneous water body surface
 

Parameters

BODC CODERankUnitsTitle
ADEPZZ011MetresDepth (spatial coordinate) relative to water surface in the water body
AMONAAD21Micromoles per litreConcentration of ammonium {NH4+ CAS 14798-03-9} per unit volume of the water body [dissolved plus reactive particulate <0.4/0.45um phase] by filtration and colorimetric autoanalysis
BOTTFLAG1Not applicableSampling process quality flag (BODC C22)
FIRSEQID1DimensionlessBottle firing sequence number
NTRIAAD21Micromoles per litreConcentration of nitrite {NO2- CAS 14797-65-0} per unit volume of the water body [dissolved plus reactive particulate <0.4/0.45um phase] by filtration and colorimetric autoanalysis
NTRZAAD21Micromoles per litreConcentration of nitrate+nitrite {NO3+NO2} per unit volume of the water body [dissolved plus reactive particulate <0.4/0.45um phase] by filtration and colorimetric autoanalysis
PHOSAAD21Micromoles per litreConcentration of phosphate {PO43- CAS 14265-44-2} per unit volume of the water body [dissolved plus reactive particulate <0.4/0.45um phase] by filtration and colorimetric autoanalysis
ROSPOSID1DimensionlessBottle rosette position identifier
SAMPRFNM1DimensionlessSample reference number
SDAMAAD21Micromoles per litreConcentration standard deviation of ammonium {NH4+ CAS 14798-03-9} per unit volume of the water body [dissolved plus reactive particulate <0.4/0.45um phase] by filtration and colorimetric autoanalysis
SDNIAAD21Micromoles per litreConcentration standard deviation of nitrite {NO2- CAS 14797-65-0} per unit volume of the water body [dissolved plus reactive particulate <0.4/0.45um phase] by filtration and colorimetric autoanalysis
SDNZAAD21Micromoles per litreConcentration standard deviation of nitrate+nitrite {NO3+NO2} per unit volume of the water body [dissolved plus reactive particulate <0.4/0.45um phase] by filtration and colorimetric autoanalysis
SDPHAAD21Micromoles per litreConcentration standard deviation of phosphate {PO43- CAS 14265-44-2} per unit volume of the water body [dissolved plus reactive particulate <0.4/0.45um phase] by filtration and colorimetric autoanalysis
SDSLAAD21Micromoles per litreConcentration standard deviation of silicate {SiO44- CAS 17181-37-2} per unit volume of the water body [dissolved plus reactive particulate <0.4/0.45um phase] by filtration and colorimetric autoanalysis
SLCAAAD21Micromoles per litreConcentration of silicate {SiO44- CAS 17181-37-2} per unit volume of the water body [dissolved plus reactive particulate <0.4/0.45um phase] by filtration and colorimetric autoanalysis

Definition of BOTTFLAG

BOTTFLAGDefinition
0The sampling event occurred without any incident being reported to BODC.
1The filter in an in-situ sampling pump physically ruptured during sample resulting in an unquantifiable loss of sampled material.
2Analytical evidence (e.g. surface water salinity measured on a sample collected at depth) indicates that the water sample has been contaminated by water from depths other than the depths of sampling.
3The feedback indicator on the deck unit reported that the bottle closure command had failed. General Oceanics deck units used on NERC vessels in the 80s and 90s were renowned for reporting misfires when the bottle had been closed. This flag is also suitable for when a trigger command is mistakenly sent to a bottle that has previously been fired.
4During the sampling deployment the bottle was fired in an order other than incrementing rosette position. Indicative of the potential for errors in the assignment of bottle firing depth, especially with General Oceanics rosettes.
5Water was reported to be escaping from the bottle as the rosette was being recovered.
6The bottle seals were observed to be incorrectly seated and the bottle was only part full of water on recovery.
7Either the bottle was found to contain no sample on recovery or there was no bottle fitted to the rosette position fired (but SBE35 record may exist).
8There is reason to doubt the accuracy of the sampling depth associated with the sample.
9The bottle air vent had not been closed prior to deployment giving rise to a risk of sample contamination through leakage.

Definition of Rank

  • Rank 1 is a one-dimensional parameter
  • Rank 2 is a two-dimensional parameter
  • Rank 0 is a one-dimensional parameter describing the second dimension of a two-dimensional parameter (e.g. bin depths for moored ADCP data)

Problem Reports

No Problem Report Found in the Database


Data Access Policy

Open Data supplied by Natural Environment Research Council (NERC)

You must always use the following attribution statement to acknowledge the source of the information: "Contains data supplied by Natural Environment Research Council."


Narrative Documents

Lachat QuikChem 8500 flow injection analyzer (FIA) and Ion Chromatography (IC) system

The Lachat QuikChem 8500 can operate FIA and IC simultaneously and independently on the same instrument platform. FIA and IC are complementary analytical techniques that are commonly used in the same laboratory.

Instrument includes - sampler, dilutor, sampling pump, electronics unit, and data station.

Flow injection analysis is ideally suited for processing relatively large numbers of samples. Ion Chromatography adds the power to profile samples for a class of ionic species.

FIA Productivity Characteristics

  • Fast Startup - ~5 minutes
  • Rapid Analysis - 20 to 60 seconds is typical
  • High Sample Throughput - 60 to 120 samples per hour is typical
  • Broad Working Range - Parts per trillion to percents
  • Complete Baseline Resolution - No carryover between samples
  • Wide Dynamic Range - 2 to 3 decades is typical
  • Fast Shutdown - ~5 minutes
  • Rapid Method Changeover - ~10 minutes

New FIA Features

  • Run up to 5 channels for high productivity analysis or dedicated operation.
  • New 2-cm flow cell methods allow more signal for detection at lower levels.
  • Run Omnion 3.0 software on Windows XP, Vista, or Windows 7 operating systems.
  • Interface Omnion software in multiple languages - including Spanish, German, French, Portuguese, and Italian.

For more information about this model see the manufactures data sheet - Lachat QuikChem 8500.

SEAL Analytical QuAAtro colorimetric autoanalyser

The SEAL QuAAtro high Performance Microflow Analyzer is the latest generation of the original world-class TechniconTM Segmented Flow Analysis (SFA) systems.

A basic SFA system consists of an autosampler, a peristaltic pump, a chemistry manifold, a detector and data acquisition software. Sample and reagents are pumped continuously through the chemistry manifold. Air bubbles are introduced at regular intervals forming unique reaction segments which are mixed using glass coils. Glass is ideal, as it is inert, stays clean and enables easy visual checks.

In SFA, reactions run to completion and the ratio of sample to reagents in the detector reaches a constant maximum value. This results in ultra-low detection limits and exceptional reproducibility. Variations in reaction time, temperature and sample matrix do not affect the results as they do in other colorimetric techniques, such as flow injection analysis, where the reaction is not brought to completion.

QuAAtro is a microflow SFA system, the internal diameter of all glassware being 1 mm. This reduces reagent consumption and increases throughput, with most methods running at 100 - 120 samples hour. The integrated enclosed manifold and detector are heated to 37 °C. Flow stability is ensured as the optimal bubble frequency for each method is programmed by silent air valves. Automatic start-up, method changeover and shutdown allows true unattended operation and overnight running. QuAAtro checks its own performance, with automatic monitoring of noise, drift, bubble pattern and light energy, before and during a run.

Up to four methods can run at the same time on one console, and there is a special 5-channel version for nutrients in seawater. Two consoles can be combined to give an 8-channel system.

Further details can be found in the manufacturer's specification sheet.

Niskin Bottle

The Niskin bottle is a device used by oceanographers to collect subsurface seawater samples. It is a plastic bottle with caps and rubber seals at each end and is deployed with the caps held open, allowing free-flushing of the bottle as it moves through the water column.

Standard Niskin

The standard version of the bottle includes a plastic-coated metal spring or elastic cord running through the interior of the bottle that joins the two caps, and the caps are held open against the spring by plastic lanyards. When the bottle reaches the desired depth the lanyards are released by a pressure-actuated switch, command signal or messenger weight and the caps are forced shut and sealed, trapping the seawater sample.

Lever Action Niskin

The Lever Action Niskin Bottle differs from the standard version, in that the caps are held open during deployment by externally mounted stainless steel springs rather than an internal spring or cord. Lever Action Niskins are recommended for applications where a completely clear sample chamber is critical or for use in deep cold water.

Clean Sampling

A modified version of the standard Niskin bottle has been developed for clean sampling. This is teflon-coated and uses a latex cord to close the caps rather than a metal spring. The clean version of the Levered Action Niskin bottle is also teflon-coated and uses epoxy covered springs in place of the stainless steel springs. These bottles are specifically designed to minimise metal contamination when sampling trace metals.

Deployment

Bottles may be deployed singly clamped to a wire or in groups of up to 48 on a rosette. Standard bottles and Lever Action bottles have a capacity between 1.7 and 30 L. Reversing thermometers may be attached to a spring-loaded disk that rotates through 180° on bottle closure.

Nutrient concentrations from CTD samples for Cruise JR18006

Originator's Protocol for Data Acquisition and Analysis

Dissolved inorganic macronutrient samples of phosphate, silicate, nitrate + nitrite, nitrite, and ammonium were collected as part of the Changing Arctic Ocean project during cruise JR18006. The samples were analysed from 7 CTD casts and a total of 76 bottles.

Samples were collected in 50 ml acid cleaned polythene vials and 125 ml acid cleaned polythene bottles from the CTD rosette spigots using a short section of silicon tubing (10 cm) with an AcroPak 500 Capsule with 0.8/0.45 µm filtration to remove particles. Samples for ammonium, collected in the 50 ml vials, were allowed to equilibrate to room temperature for approximately one hour before analysis or were stored at 4 °C and analysed within 12 hours of collection after equilibration, whilst samples for phosphate, silicate, nitrate and nitrite collected in the 125 ml bottles, were frozen (-20 ºC) straight after collection and analysed on land 12 months after collection at Liverpool University.

Samples for ammonium were measured on board using a Lachat Quik Chem 8500 Flow injection analyser using the manufacturers recommended methods for brackish or seawater: Ammonium 31-107-06-1-B. Samples were run in tripilcate in batch sizes of between 10 and 25 samples with a standard calibration range made from stock nutrient standards diluted with OSIL low nutrient seawater using grade A volumetric flasks. Stock nutrient standard solutions were made prior to the cruise from pre-dried pure grade reagents and made up to concentrations of around 10mmol/L. An 80% range standard was run during and at the end of the analysis batch and a linear incremental drift correction was made to each sample result. Analytical accuracy and precision performance was conducted on every sample batch by triplicate analysis of KANSO certified reference seawater (lot CI) nutrient solutions at the start of the analysis. Phosphate, silicate, nitrate and nitrite analyses were conducted at the University of Liverpool using a Bran and Luebbe, QuAAtro 5-channel continuous flow analyser. The manufacturer recommended methods for detection in seawater were used: Silcate; Q-066-05-Rev.2, Phosphate Q-064-05 Rev. 2, Nitrate + Nitrite using a Cd coil Q-068-05 Rev. 2, and Nitrite Q-070-05 Rev. 2. Samples were defrosted overnight in the dark and allowed to come to room temperature prior to analysis. Samples were run in triplicate in batch sizes of between 20 and 30 with an initial standard calibration range made from stock nutrient standards diluted with artificial seawater made up as described in the manufacturer methods. Primary nutrient standard stocks were made up to concentrations of 10 mM/L from analytical/pure grade reagents and working standards were freshly made daily. Kanso certified reference material (CRM) for nutrients in seawater (Kanso Co Ltd, lot CI) were used during every run. CRMs were run in triplicate every 5 samples, including the start and end.

Instrument Description

Lachat Quik Chem 8500 Flow injection analyser

Bran and Luebbe, QuAAtro 5-channel continuous flow analyser

JR18006 Cruise report

Further information can be found in the JR18006 Cruise report.

BODC Data Processing Procedures

Data were submitted in an .xlsx spreadsheet containing dissolved nutrient sample measurements of ammonium, phosphate, silicate, nitrate + nitrite and nitrite data with their associated standard deviations. Additional metadata such as station, position, date, time, CTD cast number, CTD bottle number and depth (m) were also included in the file. The data were reformatted and assigned BODC parameter codes. Quality control checks were made and BODC applied flags were applicable. The data were then loaded into the BODC database using established BODC data banking procedures.

A parameter mapping table is provided below:

Originator's Variable Originator's Units BODC Parameter Code BODC Unit Comments
Phosphate µmol/L PHOSAAD2 µmol/L -
Phosphate Error µmol/L SDPHAAD2 µmol/L -
Silicate µmol/L SLCAAAD2 µmol/L -
Silicate Error µmol/L SDSLAAD2 µmol/L -
Nitrate + Nitrite µmol/L NTRZAAD2 µmol/L -
Nitrate + Nitrite Error µmol/L SDNZAAD2 µmol/L -
Nitrite µmol/L NTRIAAD2 µmol/L -
Nitrite Error µmol/L SDNIAAD2 µmol/L -
Ammonium µmol/L AMONAAD2 µmol/L -
Ammonium Error µmol/L SDAMAAD2 µmol/L -

Data Quality Report

The originator carried out the following data quality performance checks:

    Data quality performance for ammonium, phosphate, and nitrate+nitrite were conducted by analysing Kanso CRM lot CI and occasionally CD in triplicate at the start of each batch analysis. Data quality performance for nitrite was conducted periodically by using KANSO CRM lot CI and also a shipboard prepared OSIL nitrite standard. Data quality performance for silicate was conducted by analysing Kanso CRM lot CI every 5 samples including the start and the end.

Only data with accuracy threshold < 5% were received by BODC.

BODC performed quality control checks on the data. Any data values which were below the detection limit of the instrument were applied a '<' flag.


Project Information

Changing Arctic Ocean: Implications for marine biology and biogeochemistry

Changing Arctic Ocean (CAO) is a £16 million, five year (2017-2022) research programme initially funded by the Natural Environment Research Council (NERC). The aim of the CAO programme is to understand how change in the physical environment (ice and ocean) will affect the large-scale ecosystem structure and biogeochemical functioning of the Arctic Ocean, the potential major impacts and provide projections for future ecosystem services. In July 2018, additional projects were added to the programme that were jointly funded by NERC and the German Federal Ministry of Education and Research.

Background

The Arctic Ocean is responding to global climate change in ways that are not yet fully understood and in some cases, not yet identified. The impacts of change in the Arctic are global in range and international in importance. To achieve the aim, the programme has two key research challenges:

  • To develop quantified understanding of the structure and functioning of Arctic ecosystems.
  • To understand the sensitivity of Arctic ecosystem structure, functioning and services to multiple stressors and the development of projections of the impacts of change.

The decision to fund the CAO project was both scientific and political and is the second largest research programme funded by NERC.

The programme involves 33 organisations, the majority of which are research institutions in the UK and Germany, and over 170 scientists. The programme consists of four large projects with an additional 12 research projects added in July 2018.

Further information can be found on the Changing Arctic Ocean website.

Participants

There are 33 organisations involved in the Changing Arctic Ocean project, these are:

  • Alfred Wegener Institut (AWI)
  • Bangor University
  • British Antarctic Survey (BAS)
  • Centre for Environment, Fisheries and Aquaculture Science (CEFAS)
  • Durham University
  • GEOMAR
  • Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research
  • Lancaster University
  • Marine Biological Association (MBA)
  • Max Planck Institute for the Science of Human History
  • National Oceanography Centre (NOC)
  • Newcastle University
  • Northumbria University
  • Ocean Atmosphere Systems GmbH
  • Plymouth Marine Laboratory (PML)
  • Scottish Association for Marine Science (SAMS)
  • Scottish Universities Environmental Research Centre (SUERC)
  • Université Libre de Bruxelles
  • University College London (UCL)
  • University of Bristol
  • University of East Anglia (UEA)
  • University of Edinburgh
  • University of Glasgow
  • University of Huddersfield
  • University of Leeds
  • University of Liverpool
  • University of Manchester
  • University of Oldenburg
  • University of Oxford
  • University of Southampton
  • University of St Andrews
  • University of Stirling
  • University of Strathclyde

In addition to the core organisation, there are a number of international collaborators.

Research Details

The four large projects funded by NERC are:

  • Arctic Productivity in the seasonal Ice Zone (Arctic PRIZE)
  • Can we detect changes in Arctic ecosystems? (ARISE)
  • The Changing Arctic Ocean Seafloor (ChAOS) - How changing sea ice conditions impact biological communities, biogeochemical processes and ecosystems
  • Mechanistic understanding of the role of diatoms in the success of the Arctic Calanus complex and implications for a warmer Arctic (DIAPOD)

The additional 12 projects added in July 2018 funded jointly by NERC and the German Federal Ministry of Education and Research are:

  • Advective Pathways of nutrients and key Ecological substances in the Arctic (APEAR)
  • How will changing freshwater export and terrestrial permafrost thaw influence the Arctic Ocean? (CACOON)
  • Chronobiology of changing Arctic Sea Ecosystems (CHASE)
  • Potential benefits and risks of borealisation for fish stocks and ecosystems in a changing Arctic Ocean (Coldfish)
  • Diatom Autecological Responses with Changes To Ice Cover (Diatom-ARCTIC)
  • Ecosystem functions controlled by sea ice and light in a changing Arctic (Eco-Light)
  • Effects of ice stressors and pollutants on the Arctic marine cryosphere (EISPAC)
  • Linking Oceanography and Multi-specific, spatially-Variable Interactions of seabirds and their prey in the Arctic (LOMVIA)
  • Understanding the links between pelagic microbial ecosystems and organic matter cycling in the changing Arctic (Micro-ARC)
  • Microbes to Megafauna Modelling of Arctic Seas (MiMeMo)
  • Primary productivity driven by escalating Arctic nutrient fluxes? (PEANUTS)
  • Pathways and emissions of climate-relevant trace gases in a changing Arctic Ocean (PETRA)

Fieldwork and Data Collection

The programme consists of seven core cruises that survey areas in the Barents Sea and the Fram Strait on board the NERC research vessel RRS James Clark Ross. Measurements will include temperature, salinity, dissolved oxygen, dissolved inorganic carbon, total alkalinity, inorganic nutrients, oxygen and carbon isotopes and underway meteorological and surface ocean observations. In addition to ship based cruise datasets gliders, moorings and animal tags are part of the fieldwork. Further data are collected from model runs.


Data Activity or Cruise Information

Data Activity

Start Date (yyyy-mm-dd) 2019-07-07
End Date (yyyy-mm-dd) 2019-07-07
Organization Undertaking ActivityBritish Antarctic Survey
Country of OrganizationUnited Kingdom
Originator's Data Activity IdentifierJR18006_CTD_CTD003
Platform Categorylowered unmanned submersible

BODC Sample Metadata Report for JR18006_CTD_CTD003

Sample reference number Nominal collection volume(l) Bottle rosette position Bottle firing sequence number Minimum pressure sampled (dbar) Maximum pressure sampled (dbar) Depth of sampling point (m) Bottle type Sample quality flag Bottle reference Comments
1410053   20.00 1 1  357.80  358.40  354.10 Niskin bottle No problem reported    
1410056   20.00 2 2  357.70  358.20  353.90 Niskin bottle No problem reported    
1410059   20.00 3 3  357.80  358.40  354.10 Niskin bottle No problem reported    
1410062   20.00 4 4  353.10  353.50  349.30 Niskin bottle No problem reported    
1410065   20.00 5 5  254.30  254.80  251.80 Niskin bottle No problem reported    
1410068   20.00 6 6  183.60  183.80  181.70 Niskin bottle No problem reported    
1410071   20.00 7 7  183.60  184.00  181.80 Niskin bottle No problem reported    
1410074   20.00 8 8   82.90   83.20   82.20 Niskin bottle No problem reported    
1410077   20.00 9 9   42.30   43.10   42.30 Niskin bottle No problem reported    
1410080   20.00 10 10   22.10   22.60   22.10 Niskin bottle No problem reported    
1410083   20.00 11 11   22.10   22.80   22.20 Niskin bottle No problem reported    
1410086   20.00 12 12   22.30   22.60   22.20 Niskin bottle No problem reported    
1410089   20.00 13 13   22.30   22.60   22.20 Niskin bottle No problem reported    
1410092   20.00 14 14   15.30   15.70   15.30 Niskin bottle No problem reported    
1410095   20.00 15 15   15.30   15.90   15.40 Niskin bottle No problem reported    
1410098   20.00 16 16    8.00    8.80    8.30 Niskin bottle No problem reported    
1410101   20.00 17 17    8.20    8.90    8.50 Niskin bottle No problem reported    
1410104   20.00 18 18    6.00    6.80    6.30 Niskin bottle No problem reported    
1410107   20.00 19 19    6.30    6.60    6.40 Niskin bottle No problem reported    
1410110   20.00 20 20    3.30    3.60    3.40 Niskin bottle No problem reported    
1410113   20.00 21 21    3.20    3.80    3.50 Niskin bottle No problem reported    
1410116   20.00 22 22    2.00    3.10    2.50 Niskin bottle No problem reported    
1410119   20.00 23 23    1.70    3.20    2.40 Niskin bottle No problem reported    
1410122   20.00 24 24    2.00    3.00    2.50 Niskin bottle No problem reported    

Please note:the supplied parameters may not have been sampled from all the bottle firings described in the table above. Cross-match the Sample Reference Number above against the SAMPRFNM value in the data file to identify the relevant metadata.

Related Data Activity activities are detailed in Appendix 1

Cruise

Cruise Name JR18006
Departure Date 2019-06-30
Arrival Date 2019-08-01
Principal Scientist(s)David Barnes (British Antarctic Survey)
Ship RRS James Clark Ross

Complete Cruise Metadata Report is available here


Fixed Station Information

Fixed Station Information

Station NameCAO-B13
CategoryOffshore location
Latitude74° 30.00' N
Longitude30° 0.00' E
Water depth below MSL363.0 m

Changing Arctic Ocean Fixed Station B13

This station is one of several sites sampled on the Barents Sea as part of the Changing Arctic Ocean programme. The station has a mean water depth 363 m at the following co-ordinates:

Latitude Longitude
74.5° N 30.0° E

The position of this station relative to the other Changing Arctic Ocean sites can be seen from the figure below (in red).

BODC image

Sampling History

JR16006 JR17007
CTD casts 3 2
Box cores 33 32
Glider deployments 1
Grab 2
Multi-core 4 3
Net trawls 12
Shallow Underwater Camera System (SUCS) 3
Stand Alone Pump Systems (SAPS) 1
Zooplankton net hauls 4 1
Epibenthic Sledge (apparatus towed over the seabed to collect zoobenthos) 7

Related Fixed Station activities are detailed in Appendix 2


BODC Quality Control Flags

The following single character qualifying flags may be associated with one or more individual parameters with a data cycle:

Flag Description
Blank Unqualified
< Below detection limit
> In excess of quoted value
A Taxonomic flag for affinis (aff.)
B Beginning of CTD Down/Up Cast
C Taxonomic flag for confer (cf.)
D Thermometric depth
E End of CTD Down/Up Cast
G Non-taxonomic biological characteristic uncertainty
H Extrapolated value
I Taxonomic flag for single species (sp.)
K Improbable value - unknown quality control source
L Improbable value - originator's quality control
M Improbable value - BODC quality control
N Null value
O Improbable value - user quality control
P Trace/calm
Q Indeterminate
R Replacement value
S Estimated value
T Interpolated value
U Uncalibrated
W Control value
X Excessive difference

SeaDataNet Quality Control Flags

The following single character qualifying flags may be associated with one or more individual parameters with a data cycle:

Flag Description
0 no quality control
1 good value
2 probably good value
3 probably bad value
4 bad value
5 changed value
6 value below detection
7 value in excess
8 interpolated value
9 missing value
A value phenomenon uncertain
B nominal value
Q value below limit of quantification

Appendix 1: JR18006_CTD_CTD003

Related series for this Data Activity are presented in the table below. Further information can be found by following the appropriate links.

If you are interested in these series, please be aware we offer a multiple file download service. Should your credentials be insufficient for automatic download, the service also offers a referral to our Enquiries Officer who may be able to negotiate access.

Series IdentifierData CategoryStart date/timeStart positionCruise
2001883Water sample data2019-07-07 16:39:0074.50029 N, 30.00064 ERRS James Clark Ross JR18006
2014617Water sample data2019-07-07 16:39:0074.50029 N, 30.00064 ERRS James Clark Ross JR18006

Appendix 2: CAO-B13

Related series for this Fixed Station are presented in the table below. Further information can be found by following the appropriate links.

If you are interested in these series, please be aware we offer a multiple file download service. Should your credentials be insufficient for automatic download, the service also offers a referral to our Enquiries Officer who may be able to negotiate access.

Series IdentifierData CategoryStart date/timeStart positionCruise
1837720CTD or STD cast2017-07-16 09:00:0074.4666 N, 30.0003 ERRS James Clark Ross JR16006
2012936Water sample data2017-07-16 09:16:3074.46659 N, 30.0003 ERRS James Clark Ross JR16006
2043032Water sample data2017-07-16 09:16:3074.46659 N, 30.0003 ERRS James Clark Ross JR16006
2052176Water sample data2017-07-16 09:16:3074.46659 N, 30.0003 ERRS James Clark Ross JR16006
2056221Water sample data2017-07-16 09:16:3074.46659 N, 30.0003 ERRS James Clark Ross JR16006
2056454Water sample data2017-07-16 09:16:3074.46659 N, 30.0003 ERRS James Clark Ross JR16006
1980706Water sample data2017-07-16 09:17:0074.46659 N, 30.0003 ERRS James Clark Ross JR16006
1980896Water sample data2017-07-16 09:17:0074.46659 N, 30.0003 ERRS James Clark Ross JR16006
1981666Water sample data2017-07-16 09:17:0074.46659 N, 30.0003 ERRS James Clark Ross JR16006
1837732CTD or STD cast2017-07-17 16:06:0074.4635 N, 30.0056 ERRS James Clark Ross JR16006
2043044Water sample data2017-07-17 16:20:0074.46355 N, 30.00564 ERRS James Clark Ross JR16006
1837990CTD or STD cast2017-08-01 01:27:0074.4999 N, 29.9984 ERRS James Clark Ross JR16006
2043290Water sample data2017-08-01 01:40:3074.49984 N, 29.9982 ERRS James Clark Ross JR16006
1918864CTD or STD cast2018-06-30 10:33:0074.5 N, 29.9999 ERRS James Clark Ross JR17006
1965918Water sample data2018-06-30 10:55:0074.5029 N, 30.00373 ERRS James Clark Ross JR17006
1980595Water sample data2018-06-30 10:55:0074.5029 N, 30.00373 ERRS James Clark Ross JR17006
2042827Water sample data2018-06-30 10:55:0074.5029 N, 30.00373 ERRS James Clark Ross JR17006
2081838Water sample data2018-06-30 10:55:0074.5029 N, 30.00373 ERRS James Clark Ross JR17006
1926538CTD or STD cast2018-07-14 07:39:1274.5 N, 30.0003 ERRS James Clark Ross JR17007
1965353Water sample data2018-07-14 08:01:0074.50006 N, 30.00029 ERRS James Clark Ross JR17007
1965967Water sample data2018-07-14 08:01:0074.50006 N, 30.00029 ERRS James Clark Ross JR17007
2143254Water sample data2018-07-14 08:01:0074.50006 N, 30.00029 ERRS James Clark Ross JR17007
1926735CTD or STD cast2018-07-28 03:55:4374.5 N, 30.0002 ERRS James Clark Ross JR17007
2022630CTD or STD cast2019-07-07 16:18:0074.5003 N, 30.0006 ERRS James Clark Ross JR18006
2001883Water sample data2019-07-07 16:39:0074.50029 N, 30.00064 ERRS James Clark Ross JR18006
2014617Water sample data2019-07-07 16:39:0074.50029 N, 30.00064 ERRS James Clark Ross JR18006