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Metadata Report for BODC Series Reference Number 2244885


Metadata Summary

Data Description

Data Category Water sample data
Instrument Type
NameCategories
Marianda VINDTA 3C total inorganic carbon and titration alkalinity analyser  titrators
General Oceanics GO-FLO water sampler  discrete water samplers
Instrument Mounting research vessel
Originating Country United Kingdom
Originator Dr Dorothee Bakker
Originating Organization University of East Anglia School of Environmental Sciences
Processing Status banked
Online delivery of data Download available - Ocean Data View (ODV) format
Project(s) CUSTARD
 

Data Identifiers

Originator's Identifier DY112_BOTTLE_CO2X_477:GF8
BODC Series Reference 2244885
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2020-01-21 17:20
End Time (yyyy-mm-dd hh:mm) -
Nominal Cycle Interval -
 

Spatial Co-ordinates

Latitude 54.42400 S ( 54° 25.4' S )
Longitude 89.13400 W ( 89° 8.0' W )
Positional Uncertainty 0.0 to 0.01 n.miles
Minimum Sensor or Sampling Depth 19.8 m
Maximum Sensor or Sampling Depth 19.8 m
Minimum Sensor or Sampling Height 4508.2 m
Maximum Sensor or Sampling Height 4508.2 m
Sea Floor Depth 4528.0 m
Sea Floor Depth Source GEBCO1901
Sensor or Sampling Distribution Fixed common depth - All sensors are grouped effectively at the same depth which is effectively fixed for the duration of the series
Sensor or Sampling Depth Datum Instantaneous - Depth measured below water line or instantaneous water body surface
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)
MDMAP0141Micromoles per kilogramTotal alkalinity per unit mass of the water body
SAMPRFNM1DimensionlessSample reference number
TCO2KG011Micromoles per kilogramConcentration of total inorganic carbon {TCO2 CAS 7440-44-0} per unit mass of the water body [dissolved plus reactive particulate phase] by coulometry

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.

GO-FLO Bottle

A water sampling bottle featuring close-open-close operation. The bottle opens automatically at approximately 10 metres and flushes until closed. Sampling with these bottles avoids contamination at the surface, internal spring contamination, loss of sample on deck and exchange of water from different depths.

There are several sizes available, from 1.7 to 100 litres and are made of PVC with a depth rating of up to 500 m. These bottles can be attached to a rosette or placed on a cable at selected positions.

Bottle DIC/TA for Cruise DY112

Originator's Protocol for Data Acquisition and Analysis

Sampling methodology

Samples for total dissolved inorganic carbon (DIC) and total alkalinity (TA) were collected on the 21st January 2020, in 250 mL borosilicate bottles and stored in the laboratory until analysis, usually no later than 2 days. Samples were taken directly from the Niskin bottles, using plastic tubing. Bottles were rinsed and filled smoothly from the bottom, avoiding the formation of air bubbles, overflowing the water by at least a half bottle volume, and immediately stopped. Samples were prepared for their storage leaving a headspace of 1% of the bottle volume and adding 200 µL of saturated HgCl2 in order to prevent biological alteration of the sample. The bottles were sealed with glass stoppers covered with grease and sealed with a rubber band, and stored in the dark at room temperature until analysis.

Analytical methodology

Water samples were analysed for DIC and TA on two VINDTA instruments. The VINDTA combined DIC/TA instruments (#4 and #7, version 3C) operate at 25°C (Mintrop, 2004). CTD samples were analysed on both instruments (#7) and (#4).

Concentration of DIC per unit mass of the water body was measured by coulometry (Johnson et al., 1993; DOE, 1994). Analysis performed on a single integrated system: the VINDTA system (Versatile Instrument for Determination of Titration Alkalinity, MARIANDA: Marine Analytics and Data, Kiel, Germany). The accuracy of the analyses was assured through the use of certified reference material (CRM, batch 182, supplied by Dr. A. Dickson, Scripps Institute of Oceanography). Samples were thermostatted at 25°C. Generally, all samples from stations were run on one coulometer cell and the coulometry cell was changed every 20-24 hours.

TA per unit mass of the water body was measured using curve fits along modified Gran plots (Gran, 1952; Bradshaw 1981; Dickson, 1993). Analysis performed on a single integrated system: the VINDTA system (Versatile Instrument for Determination of Titration Alkalinity, MARIANDA: Marine Analytics and Data, Kiel, Germany). The systems use a Metrohm Titrino 719S for adding acid, an ORION-Ross pH electrode and a Metrohm reference electrode. The burette, the pipette (volume approximately 100 mL), and the analysis cell have a water jacket around them at 25°C. The titrant (0.1 M hydrochloric acid, HCl) was made at UEA. The accuracy of the analyses was assured through the use of certified reference material (CRM, batch 182, supplied by Dr. A. Dickson, Scripps Institute of Oceanography). Samples were thermostatted at 25°C.

References Cited

Bradshaw, A.L., Brewer, P.G., Shafer, D.K., Williams, R.T., 1981. Measurements of total carbon dioxide and alkalinity by potentiometric titration in the GEOSECS programme. Earth and Planetary Science Letters, 55, 99-115.

Dickson, A.G., 1981. An exact definition of total alkalinity and a procedure for the estimation of alkalinity and total inorganic carbon from titration data. Deep-Sea Research, 28A, 609-623.

DOE, 1994. Handbook of methods for the analysis of the various parameters of the carbon dioxide system in sea water. Version 2, A. G. Dickson and C. Goyet, eds. ORNL/CDIAC-74.

Gran, G., 1952. Determination of the equivalence point in potentiometric titrations. Analyst, 77, 661-671.

Johnson, K.M., Wills, K.D., Butler, D.B., Johnson, W.K., Wong, C.S., 1993. Coulometric total carbon dioxide analysis for marine studies: maximizing the performance of an automated gas extraction system and coulometric detector. Marine Chemistry, 44, 167-187.

Mintrop, L., 2004. VINDTA, Versatile Instrument for the Determination of Titration Alkalinity. Manual for versions 3S and 3C. Version 2.0. MARine ANalytics and DAta (MARIANDA), kIEL Germany, 45pp.

DY112 Cruise report

Further information can be found in the DY112 Cruise report.

BODC Data Processing Procedures

Data received were 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
DIC µmol/kg TCO2KG01 µmol/kg -
TA µmol/kg MDMAP014 µmol/kg -

Project Information

Carbon Uptake and Seasonal Traits of Antarctic Remineralisation Depth (CUSTARD)

Carbon Uptake and Seasonal Traits of Antarctic Remineralisation Depth (CUSTARD) is a £1.8 million, four-year (2018-2022) research project funded by the Natural Environment Research Council (NERC).

The main aim of the CUSTARD project is to quantify the seasonal drivers of carbon fluxes in a region of the Southern Ocean upper limb, and estimate how long different quantities of carbon are kept out of the atmosphere based on the water flow routes at the observed remineralisation depths. Please visit the CUSTARD web page for more information

CUSTARD is one of three projects funded as part of the Role of the Southern Ocean in the Earth System (RoSES) programme, also known as the Southern Ocean programme. Please see the RoSES project document for more information on the wider programme and the research projects associated with it.

Background

The upper limb of the Antarctic Circumpolar Current (ACC) represents an important junction in the marine carbon cycle, as the fate of carbon fixed by surface phytoplankton will differ according to how deep it penetrates before being remineralised. If shallow remineralisation occurs, carbon will follow the upper limb circulation and upwell further north, escaping into the atmosphere within decades. On the other hand, deep remineralisation will result in carbon entering the lower limb circulation, with the potential of being retained in the ocean for hundreds of years. Seasonality in plankton dynamics play an important role in remineralisation depth, and CUSTARD aims to resolve all factors contributing to the carbon export out of the region.

Participants

Six different UK-based organisations are directly involved in research for CUSTARD:

  • National Oceanography Centre (NOC)
  • NERC British Antarctic Survey (BAS)
  • University of Southampton
  • University of Oxford
  • Plymouth University
  • University of East Anglia (UEA)

CUSTARD collaborates closely with the US Ocean Observatories Initiative (OOI) program through sharing of instruments and platforms at and around the Global Southern Ocean Array. OOI is funded by the National Science Foundation (NSF) and is managed by the Woods Hole Oceanographic Institution. Rutgers University maintains the cyberinfrastructure component, working alongside CUSTARD scientists in the handling and distribution of shared observational data.

Research details

Four Work Packages have been funded by the CUSTARD project, each addressing a separate project objective within the region of study in the south eastern Pacific ocean. These are described briefly below:

  • Work Package 1: Obtain an accurate picture of the seasonal air-sea flux and macronutrient drawdown.
    This work package aims at determining the magnitude and variability of air-sea CO2 fluxes and their physical and biogeochemical drivers. High-resolution carbon measurements in the water column, CO2 flux estimates and daily resolved nitrate and silicate observations are combined to better understand the link between seasonal changes in CO2 fluxes and biological variability.

  • Work Package 2: Quantify the link between iron and silicate availability and remineralisation depth.
    This work package investigates the annual cycle of phytoplankton dynamics, net production and export of organic material in conjunction with iron availability.

  • Work Package 3: Observationally determine the seasonal cycle in remineralisation depth.
    This work package assesses remineralisation depth and its variability using marine snow catchers deployed during the process cruise, and backscatter measurements carried out year-round by gliders.

  • Work Package 4: Examine the link between seasonality and remineralisation depth and the trajectory of carbon from the surface out of the upper limb.
    This work package aims to ingest all CUSTARD observational data into models to determine whether seasonal variability in phytoplankton composition is reflected in changes in remineralisation depth, which in turn leads to seasonal variability in the fate of organic carbon leaving the Southern Ocean via the upper limb.

Fieldwork and data collection

All the observational data from the project is collected at and south of the Ocean Observatories Initiative (OOI) Global Southern Ocean Array, located south-west of Chile. Data collection activities span from November 2018 to January 2020, and include three cruises, four glider missions, and one mooring.

Cruises

All cruises depart from and return to Punta Arenas (Chile). Cruise activities include deployments and recovery of gliders and a mooring, Conductivity, Temperature and Depth (CTD), trace metal clean GoFlo bottle sampling, Red Camera Frame, Marine Snow Catcher and Underwater Vision Profiler deployments, as well as laboratory incubations with sea water samples. See cruise details below:

Cruise identifier Research ship Cruise dates Comments
DY096 RRS Discovery November - December 2018 Deployment cruise
DY111 RRS Discovery December 2019 - January 2020 Process cruise
DY112 RRS Discovery January 2020 Mooring recovery cruise
Gliders

Two Slocum 1000 MARS gliders (Pancake and Churchill) are deployed from DY096, to collect data continuously for one year until recovery on DY111. The gliders are mounted with CTD sensors, an optode, a fluorometer, and twin backscatter sensors. Pancake failed and its mission ended early in February 2019.

One Rutgers University glider is deployed from DY111, to collect data until recovery at the end of the same cruise. The glider is owned by Rutgers University and the data is shared with CUSTARD. It carries CTD sensors, an optode, a fluorometer, a backscatter sensor and a particle size analyser.

Mooring

Deployment of Global Surface Mooring GS01SUMO-00004 (SUMO-4) during DY096, to take continuous measurements for approximately one year until recovery during DY112. Its location is roughly 54 28 S, 89 02 W. This is an OOI mooring provided and deployed by WHOI, and adapted to integrate NOC lab-on-chip nitrate and silicate sensors.

Contacts

Dr. Adrian Marin (National Oceanography Centre, UK) - Lead Principal Investigator and lead of Work Package 4
Dr. Dorothee Bakker (University of East Anglia, UK) - Lead of Work Package 1
Prof. Mark Moore (University of Southampton, UK) - Lead of Work Package 2
Dr. Stephanie Henson (National Oceanography Centre / University of Southampton, UK) - Lead of Work Package 3


Data Activity or Cruise Information

Data Activity

Start Date (yyyy-mm-dd) 2020-01-21
End Date (yyyy-mm-dd) Ongoing
Organization Undertaking ActivityWoods Hole Oceanographic Institution Department of Applied Ocean Physics and Engineering
Country of OrganizationUnited States
Originator's Data Activity IdentifierDY112_BOTTLE_GF8
Platform Categorylowered unmanned submersible

BODC Sample Metadata Report for DY112_BOTTLE_GF8

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
1845287         19.50   20.50   19.80 General Oceanics GO-FLO water sampler 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 DY112
Departure Date 2020-01-16
Arrival Date 2020-01-25
Principal Scientist(s)Sheri White (Woods Hole Oceanographic Institution Department of Applied Ocean Physics and Engineering)
Ship RRS Discovery

Complete Cruise Metadata Report is available here


Fixed Station Information

Fixed Station Information

Station NameOOI-Southern Ocean
CategoryOffshore location
Latitude54° 4.88' S
Longitude89° 39.91' W
Water depth below MSL4800.0 m

Fixed Station - Ocean Observatories Initiative (OOI) Global Southern Ocean Array

OOI Southern Ocean Array is an offshore site situated in the South Pacific to the south west of Chile, in an area of large scale thermohaline circulation, intermediate water formation, and CO2 sequestration. The array originally comprised four moorings and a combination of Open Ocean and Profiling Gliders. All of the moorings were successfully recovered for the last time in January 2020.

Central Location of Fixed Station Average Water Depth (m)
54.0814 °S 89.6652 °W 4800

The following is a list of the cruises involved in recovery and deployment of the moorings:

Cruise Date Funding Body
R/V Atlantis AT 26-30 March 2015 NSF
R/V Nathaniel B. Palmer NPB 15-11 December 2015 NSF
R/V Nathaniel B. Palmer NPB 16-10 November-December 2016 NSF
R/V Nathaniel B. Palmer NPB 17-09 November-December 2017 NSF
RRS Discovery DY096 November-December 2018 NERC
RRS Discovery DY112 January 2020 NERC

More information can be found at: https://oceanobservatories.org/array/global-southern-ocean-array/

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: DY112_BOTTLE_GF8

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
2053954Water sample data2020-01-21 17:20:0054.424 S, 89.134 WRRS Discovery DY112
2244105Water sample data2020-01-21 17:20:0054.424 S, 89.134 WRRS Discovery DY112
2244191Water sample data2020-01-21 17:20:0054.424 S, 89.134 WRRS Discovery DY112

Appendix 2: OOI-Southern Ocean

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
2053339Water sample data2018-12-04 20:19:0054.408 S, 89.27967 WRRS Discovery DY096
2080221Water sample data2018-12-04 20:19:0054.408 S, 89.27967 WRRS Discovery DY096
2053340Water sample data2018-12-09 12:54:0054.408 S, 89.27767 WRRS Discovery DY096
2080233Water sample data2018-12-09 12:54:0054.408 S, 89.27767 WRRS Discovery DY096
2053352Water sample data2018-12-10 04:06:3054.40863 S, 89.27947 WRRS Discovery DY096
2080245Water sample data2018-12-10 04:06:3054.40863 S, 89.27947 WRRS Discovery DY096
2053364Water sample data2018-12-11 06:16:0054.42297 S, 89.25102 WRRS Discovery DY096
2080257Water sample data2018-12-11 06:16:0054.42297 S, 89.25102 WRRS Discovery DY096
2121719Water sample data2019-12-06 07:05:3054.4213 S, 89.1285 WRRS Discovery DY111
2243808Water sample data2019-12-06 07:05:3054.4213 S, 89.1285 WRRS Discovery DY111
2244210Water sample data2019-12-06 07:05:3054.4213 S, 89.1285 WRRS Discovery DY111
2053118Water sample data2019-12-06 16:15:0054.4213 S, 89.1285 WRRS Discovery DY111
2206982Water sample data2019-12-06 16:15:0054.4213 S, 89.1285 WRRS Discovery DY111
2244596Water sample data2019-12-06 16:15:0054.4213 S, 89.1285 WRRS Discovery DY111
2121720Water sample data2019-12-06 22:35:3054.4213 S, 89.1285 WRRS Discovery DY111
2244222Water sample data2019-12-06 22:35:3054.4213 S, 89.1285 WRRS Discovery DY111
2244302Water sample data2019-12-14 04:41:3554.42467 S, 89.10633 WRRS Discovery DY111
2053180Water sample data2019-12-14 11:55:3054.4273 S, 89.1062 WRRS Discovery DY111
2207057Water sample data2019-12-14 11:55:3054.4273 S, 89.1062 WRRS Discovery DY111
2244652Water sample data2019-12-14 11:55:3054.4273 S, 89.1062 WRRS Discovery DY111
2121793Water sample data2019-12-14 19:11:3054.4168 S, 89.135 WRRS Discovery DY111
2243869Water sample data2019-12-14 19:11:3054.4168 S, 89.135 WRRS Discovery DY111
2244314Water sample data2019-12-14 19:11:3054.4168 S, 89.135 WRRS Discovery DY111
2053192Water sample data2019-12-15 07:43:0054.4163 S, 89.1348 WRRS Discovery DY111
2207069Water sample data2019-12-15 07:43:0054.4163 S, 89.1348 WRRS Discovery DY111
2244664Water sample data2019-12-15 07:43:0054.4163 S, 89.1348 WRRS Discovery DY111
2121800Water sample data2019-12-15 11:48:0054.4163 S, 89.1348 WRRS Discovery DY111
2243870Water sample data2019-12-15 11:48:0054.4163 S, 89.1348 WRRS Discovery DY111
2244326Water sample data2019-12-15 11:48:0054.4163 S, 89.1348 WRRS Discovery DY111
2244431Water sample data2019-12-22 04:39:2854.4165 S, 89.13233 WRRS Discovery DY111
2053260Water sample data2019-12-22 10:47:3054.4162 S, 89.1328 WRRS Discovery DY111
2207125Water sample data2019-12-22 10:47:3054.4162 S, 89.1328 WRRS Discovery DY111
2244732Water sample data2019-12-22 10:47:3054.4162 S, 89.1328 WRRS Discovery DY111
2121885Water sample data2019-12-22 17:23:0054.419 S, 89.1462 WRRS Discovery DY111
2243949Water sample data2019-12-22 17:23:0054.419 S, 89.1462 WRRS Discovery DY111
2244443Water sample data2019-12-22 17:23:0054.419 S, 89.1462 WRRS Discovery DY111
2053315Water sample data2020-01-02 20:24:0054.4153 S, 89.126 WRRS Discovery DY111
2207174Water sample data2020-01-02 20:24:0054.4153 S, 89.126 WRRS Discovery DY111
2244781Water sample data2020-01-02 20:24:0054.4153 S, 89.126 WRRS Discovery DY111
2121953Water sample data2020-01-03 07:02:0054.4113 S, 89.1282 WRRS Discovery DY111
2244547Water sample data2020-01-03 07:02:0054.4113 S, 89.1282 WRRS Discovery DY111
2053327Water sample data2020-01-03 15:15:3054.415 S, 89.1262 WRRS Discovery DY111
2207186Water sample data2020-01-03 15:15:3054.415 S, 89.1262 WRRS Discovery DY111
2244793Water sample data2020-01-03 15:15:3054.415 S, 89.1262 WRRS Discovery DY111
2121965Water sample data2020-01-03 18:14:0054.4152 S, 89.1262 WRRS Discovery DY111
2244001Water sample data2020-01-03 18:14:0054.4152 S, 89.1262 WRRS Discovery DY111
2244559Water sample data2020-01-03 18:14:0054.4152 S, 89.1262 WRRS Discovery DY111
2053886Water sample data2020-01-21 12:22:0054.419 S, 89.138 WRRS Discovery DY112
2244037Water sample data2020-01-21 12:22:0054.419 S, 89.138 WRRS Discovery DY112
2244117Water sample data2020-01-21 12:22:0054.419 S, 89.138 WRRS Discovery DY112
2244800Water sample data2020-01-21 12:22:0054.419 S, 89.138 WRRS Discovery DY112
2053898Water sample data2020-01-21 13:05:0054.42 S, 89.137 WRRS Discovery DY112
2244049Water sample data2020-01-21 13:05:0054.42 S, 89.137 WRRS Discovery DY112
2244129Water sample data2020-01-21 13:05:0054.42 S, 89.137 WRRS Discovery DY112
2244812Water sample data2020-01-21 13:05:0054.42 S, 89.137 WRRS Discovery DY112
2053905Water sample data2020-01-21 13:26:0054.42 S, 89.136 WRRS Discovery DY112
2244050Water sample data2020-01-21 13:26:0054.42 S, 89.136 WRRS Discovery DY112
2244130Water sample data2020-01-21 13:26:0054.42 S, 89.136 WRRS Discovery DY112
2244824Water sample data2020-01-21 13:26:0054.42 S, 89.136 WRRS Discovery DY112
2053917Water sample data2020-01-21 13:42:0054.421 S, 89.136 WRRS Discovery DY112
2244062Water sample data2020-01-21 13:42:0054.421 S, 89.136 WRRS Discovery DY112
2244142Water sample data2020-01-21 13:42:0054.421 S, 89.136 WRRS Discovery DY112
2244836Water sample data2020-01-21 13:42:0054.421 S, 89.136 WRRS Discovery DY112
2053929Water sample data2020-01-21 16:21:0054.421 S, 89.136 WRRS Discovery DY112
2244074Water sample data2020-01-21 16:21:0054.421 S, 89.136 WRRS Discovery DY112
2244154Water sample data2020-01-21 16:21:0054.421 S, 89.136 WRRS Discovery DY112
2244848Water sample data2020-01-21 16:21:0054.421 S, 89.136 WRRS Discovery DY112
2053930Water sample data2020-01-21 16:43:0054.423 S, 89.135 WRRS Discovery DY112
2244086Water sample data2020-01-21 16:43:0054.423 S, 89.135 WRRS Discovery DY112
2244166Water sample data2020-01-21 16:43:0054.423 S, 89.135 WRRS Discovery DY112
2244861Water sample data2020-01-21 16:43:0054.423 S, 89.135 WRRS Discovery DY112
2053942Water sample data2020-01-21 17:03:0054.424 S, 89.134 WRRS Discovery DY112
2244098Water sample data2020-01-21 17:03:0054.424 S, 89.134 WRRS Discovery DY112
2244178Water sample data2020-01-21 17:03:0054.424 S, 89.134 WRRS Discovery DY112
2244873Water sample data2020-01-21 17:03:0054.424 S, 89.134 WRRS Discovery DY112
2053954Water sample data2020-01-21 17:20:0054.424 S, 89.134 WRRS Discovery DY112
2244105Water sample data2020-01-21 17:20:0054.424 S, 89.134 WRRS Discovery DY112
2244191Water sample data2020-01-21 17:20:0054.424 S, 89.134 WRRS Discovery DY112