Search the data

Metadata Report for BODC Series Reference Number 2143069


Metadata Summary

Data Description

Data Category Water sample data
Instrument Type
NameCategories
Niskin bottle  discrete water samplers
Marianda VINDTA 3C total inorganic carbon and titration alkalinity analyser  titrators
Instrument Mounting lowered unmanned submersible
Originating Country United Kingdom
Originator Dr Matthew Humphreys
Originating Organization University of Southampton School of Ocean and Earth Science
Processing Status banked
Online delivery of data Download available - Ocean Data View (ODV) format
Project(s) SSB CaNDyFloSS
 

Data Identifiers

Originator's Identifier JC105_CTD_CO2X_3705:013
BODC Series Reference 2143069
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2014-06-17 12:41
End Time (yyyy-mm-dd hh:mm) -
Nominal Cycle Interval -
 

Spatial Co-ordinates

Latitude 51.14017 N ( 51° 8.4' N )
Longitude 6.56595 W ( 6° 34.0' W )
Positional Uncertainty 0.0 to 0.01 n.miles
Minimum Sensor or Sampling Depth 0.5 m
Maximum Sensor or Sampling Depth 89.8 m
Minimum Sensor or Sampling Height 7.6 m
Maximum Sensor or Sampling Height 96.9 m
Sea Floor Depth 97.4 m
Sea Floor Depth Source BUDS
Sensor or Sampling Distribution Unspecified -
Sensor or Sampling Depth Datum Unspecified -
Sea Floor Depth Datum Unspecified -
 

Parameters

BODC CODERankUnitsTitle
ADEPZZ011MetresDepth (spatial coordinate) relative to water surface in the water body
BOTTFLAG1Not applicableSampling process quality flag (BODC C22)
FIRSEQID1DimensionlessBottle firing sequence number
MDMAP0141Micromoles per kilogramTotal alkalinity per unit mass of the water body
ROSPOSID1DimensionlessBottle rosette position identifier
SAMPRFNM1DimensionlessSample reference number
TCO2MSXX1Micromoles per kilogramConcentration of total inorganic carbon {TCO2 CAS 7440-44-0} per unit mass of the water body [dissolved plus reactive particulate phase]

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

These data have no specific confidentiality restrictions for users. However, users must acknowledge data sources as it is not ethical to publish data without proper attribution. Any publication or other output resulting from usage of the data should include an acknowledgment.

If the Information Provider does not provide a specific attribution statement, or if you are using Information from several Information Providers and multiple attributions are not practical in your product or application, you may consider using the following:

"Contains public sector information licensed under the Open Government Licence v1.0."


Narrative Documents

Marianda Versatile INstrument for the Determination of Total inorganic carbon and titration Alkalinity (VINDTA) 3C

The VINDTA 3C (Versatile INstrument for the Determination of Total inorganic carbon and titration Alkalinity) is a laboratory alkalinity titration system combined with an extraction unit for coulometric titration, which simultaneously determines the alkalinity and dissolved inorganic carbon content of a sample. The sample transport is performed with peristaltic pumps and acid is added to the sample using a membrane pump. No pressurizing system is required and only one gas supply (nitrogen or dry and CO2-free air) is necessary. The system uses a Metrohm Titrino 719S, an ORION-Ross pH electrode and a Metrohm reference electrode. The burette, the pipette and the analysis cell have a water jacket around them. Precision is typically ± 1 µmol kg-1 for TA and/or DIC in open ocean water.

Further details can be found in the manufacturer's brochure.

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.

Shelf Sea Biogeochemistry (SSB) dissolved inorganic carbon and total alkalinity from CTD bottles and non-toxic underway supply collected during RRS James Cook cruise JC105

Originator's Protocol for Data Acquisition and Analysis

This dataset contains 234 individual measurements (222 from CTD rosette, 12 from underway) of seawater dissolved inorganic carbon (DIC) and total alkalinity (TA) from the Celtic Sea (50°N 8°W). The samples were collected during RRS James Cook cruise JC105 in June 2014, as part of the UK Shelf Sea Biogeochemistry research programme.

Samples for DIC and TA were collected from the water samplers via silicone tubing, following established best-practice protocols (Dickson et al., 2007). The sample bottles (250 ml borosilicate glass bottles with ground glass stoppers) were thoroughly rinsed with excess sample directly before filling until overflowing with seawater, taking care not to generate or trap any air bubbles. A 2.5 mL air headspace and 50 µl of saturated mercuric chloride solution were introduced to each bottle before sealing shut with Apiezon L grease and tape. The samples were stored in the dark until analysis.

All measurements of both DIC and TA were calibrated using batches 128, 135, 136, 138 and 141 certified reference material (CRM) obtained from Prof AG Dickson (Scripps Institution of Oceanography, USA) (Dickson et al., 2003).

DIC samples

DIC samples were measured using a DIC Analyzer AS-3C (Apollo SciTech, USA) which draws a 0.75 or 1 ml subsample from DIC/TA sample bottle for analysis. Subsample is mixed with excess 10% phosphoric acid to convert all bicarbonate and carbonate ions to CO2. Nitrogen carrier gas passes through subsample to carry all CO2 into LI-COR LI-7000 CO2/H2O Analyzer, which measures total CO2 by infra-red absorption. Process is repeated 5-7 times per sample and mean result reported. Some samples were also measured using a VINDTA 3C (Marianda, Germany) which draws a 20 ml subsample, again mixes with excess 10% phosphoric acid and carries CO2 out with nitrogen gas, but measurement is instead by coulometric titration.

TA samples

TA samples were measured using a TA Titrator AS-ALK2 (Apollo SciTech, USA) which draws a subsample from DIC/TA sample bottle for TA analysis after DIC analysis is complete. Subsample is transferred to glass beaker immersed in water bath at 25°C with magnetic stirring. Then 0.1M HCl is titrated into subsample until endpoint pH is reached. pH is monitored by glass electrode, which is regularly calibrated using buffer solutions. Some samples were also measured using a VINDTA 3C (Marianda, Germany) draws a 80-100 ml subsample and performs potentiometric titration with 0.1M HCl; TA is calculated from titration results via a modified Gran plot technique (Bradshaw et al., 1981).

Instrument

The CTD package was configured as follows:

Stainless Steel CTD

References Cited

A.G. Dickson, J.D. Afghan and G.C. Anderson, 2003. Reference materials for oceanic CO2 analysis: a method for the certification of total alkalinity. Mar Chem 80. doi:10.1016/S0304-4203(02)00133-0

A.L. Bradshaw, P.G. Brewer, D.K. Shafer and R.T. Williams, 1981. Measurements of total carbon dioxide and alkalinity by potentiometric titration in the GEOSECS program. Earth Planet Sci Lett 55. doi:10.1016/0012-821X(81)90090-X

A.G. Dickson, C.L. Sabine and J.R. Christian, 2007. Guide to best practices for ocean CO2 measurements. PICES Special Publication 3. pp 191

M.P. Humphreys, 2015. Calculating seawater total alkalinity from open-cell titration data using a modified Gran plot technique, in: Measurements and Concepts in Marine Carbonate Chemistry, PhD thesis, Ocean and Earth Science, University of Southampton, UK, pp. 25-44

BODC Data Processing Procedures

Data were provided in an Excel spreadsheet and archived at BODC. The file contained the water sample data from CTD bottles and Non-toxic underway supply. Data received were loaded into the BODC database using established BODC data banking procedures. The data were loaded into BODC's database without any changes.

The originator variables were mapped to appropriate BODC parameter codes as follows:

Originator's Variable Units Description BODC Parameter Code Units Comments
DIC µmol/kg Concentration of total inorganic carbon {TCO2 CAS 7440-44-0} per unit mass of the water body [dissolved plus reactive particulate phase] TCO2MSXX µmol/kg -
TA µmol/kg Total alkalinity per unit mass of the water body MDMAP014 µmol/kg -
DIC_StDev µmol/kg Concentration standard deviation of total inorganic carbon {TCO2 CAS 7440-44-0} per unit mass of the water body [dissolved plus reactive particulate phase] TCO2MSSD µmol/kg -

Data Quality Report

Bad results resulting from technical issues during analysis have been removed from these results, so there are no recognised issues. (Originator's assessment).

Problem Report

None. (BODC assessment).


Project Information

Shelf Sea Biogeochemistry (SSB) Programme Work Package 1: CaNDyFloSS

Carbon and Nutrient Dynamics and Fluxes over Shelf Systems (CaNDyFloSS) is a £2.76 million component of the Natural Environment Research Council (NERC) Shelf Sea Biogeochemistry (SSB) research programme, running from 2013 to 2017. It is jointly funded by NERC and the Department for Environment, Food and Rural Affairs (DEFRA). The aim of the research is to perform a comprehensive study of the cycling of nutrients and carbon throughout the water column over the whole north-west European shelf. This will allow the fluxes of nutrients and carbon between the shelf and the deep ocean and atmosphere to be quantified, establishing the role of the north-west European continental shelf in the global carbon cycle.

Background

Shelf seas are the primary regions of human marine resource exploitation, including both renewable and fossil fuel energy sources, recreation, trade and food production. They provide 90% of global fish catches which form an important source of food to much of the global population. They also play an important role in the ecosystem services provided by the oceans as a whole, in particular in storing carbon away from the atmosphere.

Physical and biochemical processes in shelf seas influence the removal of CO2 from the atmosphere and the subsequent storage of carbon in the deep ocean. Biological growth draws carbon out of the water, which is then replaced by carbon in CO2 from the atmosphere. In the shelf seas this growth is supported by terrestrial and open ocean sources of nutrients, implying intimate roles for both the terrestrial biosphere and the open ocean environment in regulating shelf sea climate services. The oceans can also be a major source or sink for other greenhouse gases, including nitrous oxide (N2O), with the shallow shelf sea thought to play a key role.

The spatial extent of the submerged continental shelves varies greatly. The NW European shelf sea is one of the largest and hence is likely to play a significant role in marine biogeochemical cycling, alongside providing a useful model for other systems. However, even in this relatively well studied region, there is a lack of detailed understanding of the principal controls on the cycling of carbon and the major nutrient elements, nitrogen, phosphorus and silicon. Consequently it is also difficult to predict how the cycling of these elements and hence the carbon removal they support may be altered by ongoing and potential future global change. This work package aims to address these uncertainties through a comprehensive study of the cycling of the major nutrients and carbon throughout the water column over the NW European shelf sea system.

Further details are available on the SSB website.

Participants

9 different organisations are directly involved in research for SSB Work Package 1. These institutions are

  • Centre for Environment, Fisheries and Aquaculture Science (Cefas)
  • National Oceanography Centre (NOC)
  • Plymouth Marine Laboratory (PML)
  • Scottish Association for Marine Science (SAMS) / Scottish Marine Institute (SMI)
  • University of Aberdeen
  • University of Bangor
  • University of East Anglia (UEA)
  • University of Liverpool
  • University of Southampton

In addition, there are third party institutions carrying out sampling work for SSB Work Package 1, but who are not involved in the programme itself. These are:

  • The Agri-Food and Biosciences Institute (AFBI)
  • Irish Marine Institute (MI)
  • Marine Science Scotland (MSS)

Objectives

Two overarching objectives are defined for this Work Package.

  • Objective 1: Estimate the size of the continental shelf carbon pump over the whole north-west European shelf.
    This will consist of two principal activities. (1) Over a 12 month period, observations of air-sea CO2 fluxes will be made to provide a synoptic estimate of the magnitude of carbon update by the whole shelf system. (2) Concentrations of carbon (C), nitrogen (N), phosphate (P) and silicate (Si) will be estimated in water flowing on and off the shelf. These estimates will be coupled to estimates of flow and dispersion along the shelf edge, through collaboration with the NERC Fluxes across Sloping Topography of the North East Atlantic (FASTNEt) programme to allow an observational estimate of the net off-shelf transport of C, N, P and Si.

  • Objective 2: Determine the relative importance of external nutrient sources and internal biogeochemical cycling in maintaining the continental shelf pump.
    Estimates of the flux of nutrients and carbon generated in Objective 1 will be used to determine the estimation of any excess of on-shelf nutrient supply, relative to that of carbon. Work Package 1 will then quantify the processes which govern internal biogeochemical cycling by measuring the uptake ratios of N, P, Si and C into phytoplankton and the element and energy balance of organic matter production by autotrophs. Potential modifications to the relative concentrations and uptake of C, N, P and Si in the thermocline and sediment food webs will also be assessed, as will the relative importance of microbial and zooplankton turnover in controlling C, N, P and Si.

Fieldwork and data collection

Data for Objective 1 will be provided using pCO2 systems aboard third party vessels and ferry boxes, along with measurements made through the FASTNEt programme and through the Work Package 1 process cruises detailed below. The third party cruises will be undertaken by Cefas, MI, MSS, University of Bangor and AFBI, spanning the shelf seas and shelf-edges around the United Kingdom and the Republic of Ireland.

The Work Package 1 process cruises will provide data for Objective 1 and Objective 2 and are listed in the table below. The study area is the marine shelf (and shelf-edge) of the Celtic Sea. Work will be carried out on board the NERC research vessels RRS Discovery and RRS James Cook. These cruises will focus on the physics and biogeochemistry of the benthic and pelagic zones of the water column, primarily around four main sampling sites in this area.

Cruise identifier Research ship Cruise dates Work packages
JC105 RRS James Cook June 2014 WP 1, WP 2 and WP 3
DY026 RRS Discovery August 2014 WP1, WP 2 and WP 3
DY018 RRS Discovery November - December 2014 WP 1 and WP 3
DY029 RRS Discovery April 2015 WP 1 and WP 3
DY033 RRS Discovery July 2015 WP 1 and WP 3

Activities will include Conductivity Temperature and Depth (CTD) deployments, Acoustic Doppler Current Profilers (ADCP) surveys, moorings and wire-walker deployments, autonomous gliders and submersible surveys, Marine Snow Catcher particulate matter analysis, plankton net hauls and laboratory incubations with sea water samples.


Data Activity or Cruise Information

Data Activity

Start Date (yyyy-mm-dd) 2014-06-17
End Date (yyyy-mm-dd) 2014-06-17
Organization Undertaking ActivityNational Oceanography Centre, Liverpool
Country of OrganizationUnited Kingdom
Originator's Data Activity IdentifierJC105_CTD_013
Platform Categorylowered unmanned submersible

No Document Information Held for the Series

Related Data Activity activities are detailed in Appendix 1

Cruise

Cruise Name JC105
Departure Date 2014-06-15
Arrival Date 2014-06-24
Principal Scientist(s)Jo Hopkins (National Oceanography Centre, Liverpool)
Ship RRS James Cook

Complete Cruise Metadata Report is available here


Fixed Station Information

Fixed Station Information

Station NameShelf Seas Biogeochemistry Fixed Station Celtic Deep
CategoryOffshore area
Latitude51° 8.26' N
Longitude6° 36.35' W
Water depth below MSL104.0 m

Shelf Sea Biogeochemistry Fixed Station Celtic Deep

This station is one of four mooring sites located on the continental shelf of the Celtic Sea and maintained during the Shelf Sea Biogeochemistry project. The station has a mean water depth 104 m at the following co-ordinates:

Box Corner Latitude Longitude
North-west corner 51.1570° -6.6494°
South-east corner 51.1182° -6.5622°

The position of this station relative to the other Shelf Sea Biogeochemistry sites can be seen from the figure below.

BODC image

Sampling History

DY008 JC105 DY026 DY018
CTD casts 2 2 22 -
STD casts - 1 - -
Zooplankton net hauls - - 19 -
Box cores - - 4 -
Marine snow catcher - - 29 -
Stand Alone Pump Systems (SAPS) - - 1 -
PML Drifter Buoy - - 3 -

Mooring deployments

Latitude Longitude Water depth (m) Moored instrument Deployment date Recovery date Deployment cruise Recovery cruise Comments
51.1373° -6.5675° 99 Cefas SmartBuoy 23-03-2014 15:43 UTC 17-06-2014 14:24 UTC DY008 JC105 -
51.1376° -6.5672° 98 Cefas SmartBuoy 17-06-2014 16:56 UTC - JC105 - Not recovered on DY026B as planned - mooring was lost due to suspected trawler activity.
51.1383° -6.5706° 100 Cefas SmartBuoy 17-08-2014 17:11 UTC 23/10/2014 08:00 UTC DY026B CEFAS 22/14 -
51.1373° -6.5675° 99 Cefas SmartBuoy 23/10/2014 14:00 UTC 08/03/2015 17:20 UTC CEFAS 22/14 DY021 -
51.1372° -6.5684° 105 Cefas SmartBuoy 10/03/2015 07:46 UTC 08/05/2015 10:45 UTC DY021 DY030 -
51.1373° -6.5673° 100 Cefas SmartBuoy 09/05/2015 13:52 UTC 15/08/2015 13:00 UTC DY030 DY034 -

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: JC105_CTD_013

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
2103798Water sample data2014-06-17 12:41:3051.14017 N, 6.56595 WRRS James Cook JC105
2108059Water sample data2014-06-17 12:41:3051.14017 N, 6.56595 WRRS James Cook JC105

Appendix 2: Shelf Seas Biogeochemistry Fixed Station Celtic Deep

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
1371512CTD or STD cast2014-03-23 08:51:0051.12823 N, 6.56232 WRRS Discovery DY008
1336643Water sample data2014-03-23 08:51:0051.12825 N, 6.56222 WRRS Discovery DY008
1905638Hydrography time series at depth2014-03-23 15:44:5951.13732 N, 6.56748 WRRS Discovery DY008
1905651Hydrography time series at depth2014-03-23 15:44:5951.13732 N, 6.56748 WRRS Discovery DY008
1905663Hydrography time series at depth2014-03-23 15:44:5951.13732 N, 6.56748 WRRS Discovery DY008
1905675Hydrography time series at depth2014-03-23 15:44:5951.13732 N, 6.56748 WRRS Discovery DY008
1905571Hydrography time series at depth2014-03-23 15:45:0051.13732 N, 6.56748 WRRS Discovery DY008
1905583Hydrography time series at depth2014-03-23 15:45:0051.13732 N, 6.56748 WRRS Discovery DY008
1371524CTD or STD cast2014-03-23 16:22:0051.13792 N, 6.56963 WRRS Discovery DY008
1336655Water sample data2014-03-23 16:23:0051.13793 N, 6.56965 WRRS Discovery DY008
1372693CTD or STD cast2014-06-17 12:35:0051.14018 N, 6.5659 WRRS James Cook JC105
2103798Water sample data2014-06-17 12:41:3051.14017 N, 6.56595 WRRS James Cook JC105
2108059Water sample data2014-06-17 12:41:3051.14017 N, 6.56595 WRRS James Cook JC105
1372700CTD or STD cast2014-06-17 17:22:0051.13899 N, 6.56501 WRRS James Cook JC105
2103805Water sample data2014-06-17 17:24:3051.13894 N, 6.56515 WRRS James Cook JC105
2108060Water sample data2014-06-17 17:24:3051.13894 N, 6.56515 WRRS James Cook JC105
2143070Water sample data2014-06-17 17:24:3051.13894 N, 6.56515 WRRS James Cook JC105
1373094CTD or STD cast2014-08-09 06:08:0051.13767 N, 6.586 WRRS Discovery DY026A
2127555Water sample data2014-08-09 06:21:3051.13774 N, 6.58583 WRRS Discovery DY026A
1373101CTD or STD cast2014-08-09 10:40:0051.12067 N, 6.62167 WRRS Discovery DY026A
2118171Water sample data2014-08-09 10:54:0051.11972 N, 6.62294 WRRS Discovery DY026A
2127567Water sample data2014-08-09 10:54:0051.11972 N, 6.62294 WRRS Discovery DY026A
1373113CTD or STD cast2014-08-09 13:30:0051.11833 N, 6.62533 WRRS Discovery DY026A
2127579Water sample data2014-08-09 14:30:0051.11833 N, 6.62499 WRRS Discovery DY026A
1373125CTD or STD cast2014-08-09 16:04:0051.11833 N, 6.62533 WRRS Discovery DY026A
2127580Water sample data2014-08-09 16:20:3051.11833 N, 6.62498 WRRS Discovery DY026A
1373137CTD or STD cast2014-08-10 06:58:0051.157 N, 6.57133 WRRS Discovery DY026A
2127592Water sample data2014-08-10 07:10:3051.15702 N, 6.57108 WRRS Discovery DY026A
1373149CTD or STD cast2014-08-10 08:00:0051.15633 N, 6.57533 WRRS Discovery DY026A
2127611Water sample data2014-08-10 08:15:0051.15656 N, 6.57279 WRRS Discovery DY026A
1373150CTD or STD cast2014-08-10 08:59:0051.15567 N, 6.5775 WRRS Discovery DY026A
2127623Water sample data2014-08-10 09:10:0051.15501 N, 6.57861 WRRS Discovery DY026A
1373162CTD or STD cast2014-08-10 10:00:0051.15283 N, 6.58967 WRRS Discovery DY026A
2127635Water sample data2014-08-10 10:08:3051.15174 N, 6.59221 WRRS Discovery DY026A
1373174CTD or STD cast2014-08-10 11:03:0051.1495 N, 6.5985 WRRS Discovery DY026A
2118183Water sample data2014-08-10 11:14:0051.14896 N, 6.59987 WRRS Discovery DY026A
2127647Water sample data2014-08-10 11:14:0051.14896 N, 6.59987 WRRS Discovery DY026A
1373186CTD or STD cast2014-08-10 12:04:0051.14767 N, 6.60333 WRRS Discovery DY026A
2127659Water sample data2014-08-10 12:10:0051.14731 N, 6.60372 WRRS Discovery DY026A
1373198CTD or STD cast2014-08-10 12:59:0051.14667 N, 6.60533 WRRS Discovery DY026A
2127660Water sample data2014-08-10 13:09:0051.14626 N, 6.60576 WRRS Discovery DY026A
1373205CTD or STD cast2014-08-10 13:59:0051.14583 N, 6.60667 WRRS Discovery DY026A
2127672Water sample data2014-08-10 14:10:0051.14579 N, 6.6065 WRRS Discovery DY026A
1373217CTD or STD cast2014-08-10 15:08:0051.14567 N, 6.60667 WRRS Discovery DY026A
2127684Water sample data2014-08-10 15:19:0051.14574 N, 6.60586 WRRS Discovery DY026A
1373229CTD or STD cast2014-08-10 16:10:0051.14567 N, 6.60533 WRRS Discovery DY026A
2127696Water sample data2014-08-10 16:17:0051.14564 N, 6.60417 WRRS Discovery DY026A
1373230CTD or STD cast2014-08-10 17:00:0051.14567 N, 6.60417 WRRS Discovery DY026A
2127703Water sample data2014-08-10 17:12:3051.14569 N, 6.60394 WRRS Discovery DY026A
1373242CTD or STD cast2014-08-10 17:57:0051.14567 N, 6.60417 WRRS Discovery DY026A
2127715Water sample data2014-08-10 18:09:3051.14568 N, 6.60394 WRRS Discovery DY026A
1373254CTD or STD cast2014-08-10 19:06:0051.14567 N, 6.60417 WRRS Discovery DY026A
2127727Water sample data2014-08-10 19:15:0051.14568 N, 6.60394 WRRS Discovery DY026A
1373291CTD or STD cast2014-08-12 07:00:0051.1485 N, 6.60417 WRRS Discovery DY026A
2127740Water sample data2014-08-12 07:10:3051.14853 N, 6.60395 WRRS Discovery DY026A
1373309CTD or STD cast2014-08-12 11:00:0051.13983 N, 6.622 WRRS Discovery DY026A
2118195Water sample data2014-08-12 11:14:0051.13963 N, 6.62276 WRRS Discovery DY026A
2127752Water sample data2014-08-12 11:14:0051.13963 N, 6.62276 WRRS Discovery DY026A
1373310CTD or STD cast2014-08-12 13:26:0051.137 N, 6.6295 WRRS Discovery DY026A
1373322CTD or STD cast2014-08-12 18:00:0051.135 N, 6.63333 WRRS Discovery DY026A
1905687Hydrography time series at depth2014-08-17 17:14:5951.1383 N, 6.57057 WRRS Discovery DY026B
1905699Hydrography time series at depth2014-08-17 17:14:5951.1383 N, 6.57057 WRRS Discovery DY026B
1905706Hydrography time series at depth2014-08-17 17:14:5951.1383 N, 6.57057 WRRS Discovery DY026B
1905718Hydrography time series at depth2014-08-17 17:14:5951.1383 N, 6.57057 WRRS Discovery DY026B
1905595Hydrography time series at depth2014-08-17 17:15:0051.1383 N, 6.57057 WRRS Discovery DY026B
1905602Hydrography time series at depth2014-08-17 17:15:0051.1383 N, 6.57057 WRRS Discovery DY026B
1373346CTD or STD cast2014-08-17 17:31:0051.13998 N, 6.5793 WRRS Discovery DY026B
2127776Water sample data2014-08-17 17:40:3051.13991 N, 6.57931 WRRS Discovery DY026B
1905614Hydrography time series at depth2014-10-23 14:00:0051.13732 N, 6.56748 WRV Cefas Endeavour 22/14
1905731Hydrography time series at depth2014-10-23 14:00:0051.13732 N, 6.56748 WRV Cefas Endeavour 22/14
1905743Hydrography time series at depth2014-10-23 14:00:0051.13732 N, 6.56748 WRV Cefas Endeavour 22/14
1905755Hydrography time series at depth2014-10-23 14:00:0051.13732 N, 6.56748 WRV Cefas Endeavour 22/14
1905767Hydrography time series at depth2014-10-23 14:00:0051.13732 N, 6.56748 WRV Cefas Endeavour 22/14
1905779Hydrography time series at depth2015-03-10 07:48:0951.1372 N, 6.5684 WRRS Discovery DY021
1905780Hydrography time series at depth2015-03-10 07:49:5951.1372 N, 6.5684 WRRS Discovery DY021
1905792Hydrography time series at depth2015-03-10 07:49:5951.1372 N, 6.5684 WRRS Discovery DY021
1905811Hydrography time series at depth2015-03-10 07:49:5951.1372 N, 6.5684 WRRS Discovery DY021
2127242Water sample data2015-03-10 12:30:3051.13352 N, 6.57524 WRRS Discovery DY021
2135856Water sample data2015-03-10 12:30:3051.13352 N, 6.57524 WRRS Discovery DY021
2132385Water sample data2015-05-08 08:41:3051.14138 N, 6.57319 WRRS Discovery DY030
1905626Hydrography time series at depth2015-05-09 14:20:0051.13732 N, 6.56748 WRRS Discovery DY030
1905823Hydrography time series at depth2015-05-09 14:20:0051.13732 N, 6.56748 WRRS Discovery DY030
1905835Hydrography time series at depth2015-05-09 14:20:0051.13732 N, 6.56748 WRRS Discovery DY030
1905847Hydrography time series at depth2015-05-09 14:20:0051.13732 N, 6.56748 WRRS Discovery DY030
1905859Hydrography time series at depth2015-05-09 14:20:0051.13732 N, 6.56748 WRRS Discovery DY030
1624713CTD or STD cast2015-05-09 17:03:0051.13798 N, 6.55718 WRRS Discovery DY030
1721335CTD or STD cast2015-08-12 11:52:0051.12317 N, 6.57627 WRRS Discovery DY034