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Metadata Report for BODC Series Reference Number 2012985


Metadata Summary

Data Description

Data Category Water sample data
Instrument Type
NameCategories
Niskin bottle  discrete water samplers
TitraLab TIM90, ABU91/ABU93 automated titration system  titrators
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 JR16006_CTD_DOXY_304:CTD048
BODC Series Reference 2012985
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2017-08-03 09:12
End Time (yyyy-mm-dd hh:mm) -
Nominal Cycle Interval -
 

Spatial Co-ordinates

Latitude 76.00012 N ( 76° 0.0' N )
Longitude 16.83357 E ( 16° 50.0' E )
Positional Uncertainty 0.0 to 0.01 n.miles
Minimum Sensor or Sampling Depth 139.7 m
Maximum Sensor or Sampling Depth 308.5 m
Minimum Sensor or Sampling Height 10.5 m
Maximum Sensor or Sampling Height 179.3 m
Sea Floor Depth 319.0 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
BOTTFLAG1Not applicableSampling process quality flag (BODC C22)
DOXYWITX1Micromoles per litreConcentration of oxygen {O2 CAS 7782-44-7} per unit volume of the water body [dissolved plus reactive particulate phase] by Winkler titration
FIRSEQID1DimensionlessBottle firing sequence number
ROSPOSID1DimensionlessBottle rosette position identifier
SAMPRFNM1DimensionlessSample reference number
SDOXWITX1Micromoles per litreConcentration standard deviation of oxygen {O2 CAS 7782-44-7} per unit volume of the water body [dissolved plus reactive particulate phase] by Winkler titration

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

TitraLab TIM90, ABU91/ABU93 Automated Titration System

A modular, automated titration system for the laboratory. This includes a TIM90 titration manager, which can manage up to 3 burettes and store 40 methods; and either an ABU 91 Autoburette (one burette), or an ABU 93 Triburette (three burettes), both with 1 ml, 5 ml, 10 ml and 25 ml selectable quantities.

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.

Changing Arctic Ocean cruise JR16006 Dissolved Oxygen sample data

Originator's Protocol for Data Acquisition and Analysis

Water samples were collected in 110 ml glass bottles with gas tight ground glass lids. The samples were collected using a length of silicon rubber tube connected to the CTD bottle spigot, allowing the sample to gently overflow for approximately 15 to 20 seconds and ensure no air was contained within the bottle and that the bottle had attained the same temperature as the water. Care was also taken to ensure that no bubbles remained in the length of the rubber tubbing during the filling process.

Once the bottle had been filled and the glass bottle allowed to equilibrate with the water temperature, 1 ml each of Winkler solutions A and B (manganese chloride tetra chloride and a sodium hydroxide-dosium iodide mix) were carefully injected into the sample and the glass ground lid replaced. Care was also taken to ensure that no air bubbles were trapped under the lid during the capping process. Samples were then inverted three times.

Analysis was perfomed by initially dissolving the manganous (III) oxyhydroxide precipitate with sufficient sulphuric acid which allowed the iodide to convert to iodine. The iodine was titrated with a sodium thiosulphate solution of known concentration using spectrophotometry to identify the end-point titration.

Instrumentation Description

The titrator used was a Radiometer Copenhagen Autotitrator TM90 with a fabricated spectrophotometer cell for determining the end-point.

BODC Data Processing Procedures

The data were submitted to BODC as a Microsoft Excel Spreadsheet containing both the data and metadata. The metadata comprised the cast number, site, niskin bottle depth, and an indication of data quality.

Before data ingestion, all metadata were cross-checed against BODC records and were found to be identical. The originator submitted the average readings from the replicates analysed, as well as the standard deviation and relative standard deviation. These variables were mapped to BODC codes as presented in the table below:

Originator's Parameter Unit Description BODC Parameter Code BODC Unit
Dissolved oxygen (average) µm/l Concentration of oxygen {O2 CAS 7782-44-7} per unit volume of the water body [dissolved plus reactive particulate phase] by Winkler titration DOXYWITX µm/l
Dissolved oxygen (standard deviation) µm/l Concentration standard deviation of oxygen {O2 CAS 7782-44-7} per unit volume of the water body [dissolved plus reactive particulate phase] by Winkler titration SDOXWITX µm/l

Data Quality Report

The originator provided quality comments alongside the data. Data considered as 'bad' by the originator was assigned a BODC 'L' flag.

The originator's data file is available upon request.


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) 2017-08-03
End Date (yyyy-mm-dd) 2017-08-03
Organization Undertaking ActivityNational Oceanography Centre, Liverpool
Country of OrganizationUnited Kingdom
Originator's Data Activity IdentifierJR16006_CTD_CTD048
Platform Categorylowered unmanned submersible

BODC Sample Metadata Report for JR16006_CTD_CTD048

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
1256375   20.00 1 1      308.50 Niskin bottle No problem reported    
1256378   20.00 2 2      308.40 Niskin bottle No problem reported    
1256381   20.00 3 3      279.20 Niskin bottle No problem reported    
1256384   20.00 4 4      249.40 Niskin bottle No problem reported    
1256387   20.00 5 5      249.30 Niskin bottle No problem reported    
1256390   20.00 6 6      199.20 Niskin bottle No problem reported    
1256393   20.00 7 7      199.20 Niskin bottle No problem reported    
1256396   20.00 8 8      139.60 Niskin bottle No problem reported    
1256399   20.00 9 9      139.70 Niskin bottle No problem reported    
1256402   20.00 10 10       99.60 Niskin bottle No problem reported    
1256405   20.00 11 11       99.60 Niskin bottle No problem reported    
1256408   20.00 12 12       49.40 Niskin bottle No problem reported    
1256411   20.00 13 13       49.40 Niskin bottle No problem reported    
1256414   20.00 14 14       39.50 Niskin bottle No problem reported    
1256417   20.00 15 15       27.90 Niskin bottle No problem reported    
1256420   20.00 16 16       27.80 Niskin bottle No problem reported    
1256423   20.00 17 17       28.00 Niskin bottle No problem reported    
1256426   20.00 18 18       17.80 Niskin bottle No problem reported    
1256429   20.00 19 19       11.90 Niskin bottle No problem reported    
1256432   20.00 20 20        5.50 Niskin bottle No problem reported    
1256435   20.00 21 21        5.50 Niskin bottle No problem reported    
1256438   20.00 22 22        2.70 Niskin bottle No problem reported    
1256441   20.00 23 23        2.70 Niskin bottle No problem reported    
1256444   20.00 24 24        2.80 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 JR16006
Departure Date 2017-06-30
Arrival Date 2017-08-15
Principal Scientist(s)Jo Hopkins (National Oceanography Centre, Liverpool)
Ship RRS James Clark Ross

Complete Cruise Metadata Report is available here


Fixed Station Information

Fixed Station Information

Station NameCAO-B7
CategoryOffshore location
Latitude76° 0.00' N
Longitude16° 49.80' E
Water depth below MSL325.0 m

Changing Arctic Ocean Fixed Station B7

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 325 m at the following co-ordinates:

Latitude Longitude
76° N 16.83° 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
CTD casts 2
Grab 1
Multi-core 3
Shallow Underwater Camera System (SUCS) 1
Stand Alone Pump Systems (SAPS) 1
Zooplankton net hauls 4

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: JR16006_CTD_CTD048

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
2043370Water sample data2017-08-03 09:12:3076.00012 N, 16.83357 ERRS James Clark Ross JR16006
2052293Water sample data2017-08-03 09:12:3076.00012 N, 16.83357 ERRS James Clark Ross JR16006
2056337Water sample data2017-08-03 09:12:3076.00012 N, 16.83357 ERRS James Clark Ross JR16006
2056583Water sample data2017-08-03 09:12:3076.00012 N, 16.83357 ERRS James Clark Ross JR16006
1980779Water sample data2017-08-03 09:13:0076.00012 N, 16.83357 ERRS James Clark Ross JR16006
1980952Water sample data2017-08-03 09:13:0076.00012 N, 16.83357 ERRS James Clark Ross JR16006
1981734Water sample data2017-08-03 09:13:0076.00012 N, 16.83357 ERRS James Clark Ross JR16006

Appendix 2: CAO-B7

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
1837603CTD or STD cast2017-07-11 15:29:0076.0001 N, 16.8325 ERRS James Clark Ross JR16006
2042919Water sample data2017-07-11 15:48:0076.00014 N, 16.83257 ERRS James Clark Ross JR16006
1838077CTD or STD cast2017-08-03 08:59:0076.0001 N, 16.8334 ERRS James Clark Ross JR16006
2043370Water sample data2017-08-03 09:12:3076.00012 N, 16.83357 ERRS James Clark Ross JR16006
2052293Water sample data2017-08-03 09:12:3076.00012 N, 16.83357 ERRS James Clark Ross JR16006
2056337Water sample data2017-08-03 09:12:3076.00012 N, 16.83357 ERRS James Clark Ross JR16006
2056583Water sample data2017-08-03 09:12:3076.00012 N, 16.83357 ERRS James Clark Ross JR16006
1980779Water sample data2017-08-03 09:13:0076.00012 N, 16.83357 ERRS James Clark Ross JR16006
1980952Water sample data2017-08-03 09:13:0076.00012 N, 16.83357 ERRS James Clark Ross JR16006
1981734Water sample data2017-08-03 09:13:0076.00012 N, 16.83357 ERRS James Clark Ross JR16006
1918907CTD or STD cast2018-07-03 14:30:0075.9998 N, 16.83 ERRS James Clark Ross JR17006
2042840Water sample data2018-07-03 14:47:3075.99805 N, 16.86163 ERRS James Clark Ross JR17006
2081863Water sample data2018-07-03 14:47:3075.99805 N, 16.86163 ERRS James Clark Ross JR17006
1965943Water sample data2018-07-03 14:48:0075.99805 N, 16.86163 ERRS James Clark Ross JR17006