Metadata Report for BODC Series Reference Number 2053352
Metadata Summary
Problem Reports
Data Access Policy
Data Policy
Narrative Documents
Project Information
Data Activity or Cruise Information
Fixed Station Information
BODC Quality Flags
SeaDataNet Quality Flags
Metadata Summary
Data Description |
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Data Identifiers |
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Time Co-ordinates(UT) |
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Spatial Co-ordinates | |||||||||||||||||||||||||||||||||||||||||
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Parameters |
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Definition of BOTTFLAG | |||||||||||||||||||||||||||||||||||||||||
BOTTFLAG | Definition |
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0 | The sampling event occurred without any incident being reported to BODC. |
1 | The filter in an in-situ sampling pump physically ruptured during sample resulting in an unquantifiable loss of sampled material. |
2 | Analytical 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. |
3 | The 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. |
4 | During 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. |
5 | Water was reported to be escaping from the bottle as the rosette was being recovered. |
6 | The bottle seals were observed to be incorrectly seated and the bottle was only part full of water on recovery. |
7 | Either 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). |
8 | There is reason to doubt the accuracy of the sampling depth associated with the sample. |
9 | The bottle air vent had not been closed prior to deployment giving rise to a risk of sample contamination through leakage. |
Definition of Rank |
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Problem Reports
No Problem Report Found in the Database
Data Access Policy
Carbon Uptake and Seasonal Traits of Antarctic Remineralisation Depth (CUSTARD) data access
Access to these data is currently restricted to the consortium Principal Investigators and consortium co-workers. Anyone granted permission to use the data during this period of restriction must acknowledge the data originator on any resulting papers.
Data Policy
Carbon Uptake and Seasonal Traits of Antarctic Remineralisation Depth (CUSTARD) Data Policy
The following data policy has been approved by the Principal Investigator and applies to all datasets received under the CUSTARD project.
Designated Data Centres
Data arising from the project are lodged with the British Oceanographic Data Centre (BODC) or the UK Polar Data Centre (UK PDC) on acquisition, together with such metadata as are defined under the NERC data policy.
BODC - Physical and chemical oceanography data are held at BODC. This includes data from CTD, data from the ship's fixed sensors, gliders, mooring, Red Camera Frame, Marine Snow Catcher (MSC), Underwater Vision Profile (UVP), incubation experiments, etc.
PDC - Biological oceanography data are submitted to BODC, but held at and disseminated by PDC. This includes plankton biomass and microscopy data.
Embargo & Open Access
Two dataset types are each subject to one-year embargo, and are thus made public no earlier than January 2021:
- Nitrate and silicate data measured from the NOC lab-on-chip sensors mounted on the Ocean Observatories Initiative (OOI) mooring. The embargo will start from the time of processed data submission to BODC, and end 12 months later.
- All data collected by the Slocum gliders (MARS and Rutgers). The embargo will start from the date of the latest glider recovery, and end 12 months later.
Beyond the embargo expiry date, the data are openly provided by the data centres under the Natural Environment Research Council (NERC) Open Data policy.
All other datasets are freely accessible as soon as they are available under the same NERC policy.
The following attribution statement must always be used to acknowledge the source of the information: "Contains data supplied by Natural Environment Research Council".
Narrative Documents
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 DY096
Originator's Protocol for Data Acquisition and Analysis
Inorganic nutrients DY096 Seawater samples for macronutrient analyses were collected unfiltered directly from the titanium rosette after the TA/DIC into pre- labelled sterile 50 ml centrifuge tubes (rinsed three times with water from the same Niskin) and frozen (-20° C) onboard the RRS Discovery for future analyses at the National Oceanography Centre. The samples were analysed using standard gas-segmented flow spectrophotometric techniques (Hydes et al., 2010).
A 4-channel Seal Analytical (QuAAtro 39) segmented flow-analyser with XY autosampler was used for the analysis of micro-molar concentrations of dissolved inorganic nutrients (silicate, phosphate, nitrate plus nitrite and nitrite). Seal Analytical chemistry and cleaning procedure protocols used for the analyses of DY096 sample were:
1. Silicate in seawater method No. Q-066-05 Rev. 5
2. Phosphate in water method No. Q-064-05 Rev. 8
3. Nitrate and nitrite in seawater method No. Q-068-05 Rev.11
4. Nitrite in seawater method No. Q-070-05 Rev. 6
Nitrate was calculated by correcting for nitrite as per standard autoanalyser method.
Back at NOC samples were defrosted overnight in the fridge and shaken to ensure a homogenous sample. Samples collected from the CTD were measured from the lowest to the highest concentration (surface to deep) to reduce carry over effects. Milli-Q water was used for the baseline and wash solution.
Instrument Description
SEAL Analytical QuAAtro Autoanalyser
DY096 Cruise report
Further information can be found in the DY096 Cruise report.
BODC Data Processing Procedures
Data were submitted in an .xlsx spreadsheet containing dissolved nutrient sample measurements of silicate, nitrate, phosphate, nitrite, total nitrogen and total phosphorus. 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 |
---|---|---|---|---|
SILCAT | µmol/L | SLCAAATX | umol/L | - |
NITRAT | µmol/L | CHEMM012 | umol/L | - |
PHSPHT | µmol/L | PHOSAATX | umol/L | - |
NITRIT | µmol/L | NTRIAATX | umol/L | - |
TNITRAT | µmol/L | NTOTWCTX | umol/L | - |
TPHSPHT | µmol/L | TPHSPHT | umol/L | - |
Data Quality Report
The originator carried out the following data quality performance checks:
In order to test the accuracy and precision of the analyses, CRMs from The General Environmental Technos Co., Ltd., (KANSO) were measured in triplicates at the start and end of every run. For the analyses of DY096 samples KANSO CRMs lot CD, CJ and CB were used.
CTD data was plotted against historical data mainly GLODAP 2 and de Baar 1999. There were six clear outliers;
Station 2 : two suspect points bottle 4 (748db) and bottle 6 (498 db)
Station 3 : one suspect point bottle 6 (497db)
Station 5 : three suspect points bottle 10 (179 db), bottle 14 (100 db) and bottle 20 (41 db)
BODC performed quality control checks on the data. Any originator flags were mapped to standard BODC flags. Any data values which were below the detection limit of the instrument were applied a '<' flag.
References
Hydes D. J., Aoyama M., Aminot A., Bakker K., Becker S., Coverly S., Daniel A., Dickson A. G., Grosso O., Keroue R., van Ooijen J., Sato K., Tanhua T., Woodward E. M. S., Zhang J. Z. (2010). Determination of dissolved nutrients (N, P, Si) in seawater with high precision and inter-comparability using gas-segmented continuous flow analysers. The GO-SHIP Repeat Hydrography Manual : A Collection of Expert Reports and guidelines. IOCCP Report No 14, ICPO Publication Series No. 134, version 1, 2010.
de Baar, H.J.W., de Jong, J.T.M., Nolting, R.F., Timmermans, K.R., van Leeuwe, M.A., Bathmann, U., van der Loeff, M.R., Sildam, J., 1999. Low dissolved Fe and the absence of diatom blooms in remote Pacific waters of the Southern Ocean. Mar. Chem. 66, 1-34. http://dx.doi.org/10.1016/S0304-4203(99)00022-5
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) | 2018-12-10 |
End Date (yyyy-mm-dd) | 2018-12-10 |
Organization Undertaking Activity | National Oceanography Centre, Southampton |
Country of Organization | United Kingdom |
Originator's Data Activity Identifier | DY096_UCCTD_DY096_CTD04 |
Platform Category | lowered unmanned submersible |
BODC Sample Metadata Report for DY096_UCCTD_DY096_CTD04
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 |
---|---|---|---|---|---|---|---|---|---|---|
1784921 | 10.00 | 2 | 1 | 4513.30 | 4514.30 | 4426.40 | Lever Action Niskin Bottle | No problem reported | ||
1784924 | 10.00 | 4 | 2 | 4002.20 | 4003.20 | 3929.80 | Lever Action Niskin Bottle | No problem reported | ||
1784927 | 10.00 | 6 | 3 | 3499.90 | 3500.90 | 3440.50 | Lever Action Niskin Bottle | No problem reported | ||
1784930 | 10.00 | 8 | 4 | 3000.00 | 3001.00 | 2952.60 | Lever Action Niskin Bottle | No problem reported | ||
1784933 | 10.00 | 10 | 5 | 2501.30 | 2502.30 | 2464.70 | Lever Action Niskin Bottle | No problem reported | ||
1784936 | 10.00 | 12 | 6 | 1999.20 | 2000.20 | 1972.30 | Lever Action Niskin Bottle | No problem reported | ||
1784939 | 10.00 | 14 | 7 | 1619.00 | 1620.00 | 1598.80 | Lever Action Niskin Bottle | No problem reported | ||
1784942 | 10.00 | 16 | 8 | 998.80 | 999.80 | 988.00 | Lever Action Niskin Bottle | No problem reported | ||
1784945 | 10.00 | 18 | 9 | 499.10 | 500.10 | 494.50 | Lever Action Niskin Bottle | No problem reported | ||
1784948 | 10.00 | 20 | 10 | 199.80 | 200.80 | 198.40 | Lever Action Niskin Bottle | No problem reported | ||
1784951 | 10.00 | 22 | 11 | 52.20 | 53.20 | 52.20 | Lever Action Niskin Bottle | No problem reported | ||
1784954 | 10.00 | 24 | 12 | 14.10 | 15.10 | 14.50 | Lever Action 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 | DY096 |
Departure Date | 2018-11-28 |
Arrival Date | 2018-12-14 |
Principal Scientist(s) | Adrian P Martin (National Oceanography Centre, Southampton) |
Ship | RRS Discovery |
Complete Cruise Metadata Report is available here
Fixed Station Information
Fixed Station Information
Station Name | OOI-Southern Ocean |
Category | Offshore location |
Latitude | 54° 4.88' S |
Longitude | 89° 39.91' W |
Water depth below MSL | 4800.0 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: DY096_UCCTD_DY096_CTD04
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 Identifier | Data Category | Start date/time | Start position | Cruise |
---|---|---|---|---|
2080245 | Water sample data | 2018-12-10 04:06:30 | 54.40863 S, 89.27947 W | RRS Discovery DY096 |
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 Identifier | Data Category | Start date/time | Start position | Cruise |
---|---|---|---|---|
2053339 | Water sample data | 2018-12-04 20:19:00 | 54.408 S, 89.27967 W | RRS Discovery DY096 |
2080221 | Water sample data | 2018-12-04 20:19:00 | 54.408 S, 89.27967 W | RRS Discovery DY096 |
2053340 | Water sample data | 2018-12-09 12:54:00 | 54.408 S, 89.27767 W | RRS Discovery DY096 |
2080233 | Water sample data | 2018-12-09 12:54:00 | 54.408 S, 89.27767 W | RRS Discovery DY096 |
2080245 | Water sample data | 2018-12-10 04:06:30 | 54.40863 S, 89.27947 W | RRS Discovery DY096 |
2053364 | Water sample data | 2018-12-11 06:16:00 | 54.42297 S, 89.25102 W | RRS Discovery DY096 |
2080257 | Water sample data | 2018-12-11 06:16:00 | 54.42297 S, 89.25102 W | RRS Discovery DY096 |
2121719 | Water sample data | 2019-12-06 07:05:30 | 54.4213 S, 89.1285 W | RRS Discovery DY111 |
2053118 | Water sample data | 2019-12-06 16:15:00 | 54.4213 S, 89.1285 W | RRS Discovery DY111 |
2121720 | Water sample data | 2019-12-06 22:35:30 | 54.4213 S, 89.1285 W | RRS Discovery DY111 |
2053180 | Water sample data | 2019-12-14 11:55:30 | 54.4273 S, 89.1062 W | RRS Discovery DY111 |
2121793 | Water sample data | 2019-12-14 19:11:30 | 54.4168 S, 89.135 W | RRS Discovery DY111 |
2053192 | Water sample data | 2019-12-15 07:43:00 | 54.4163 S, 89.1348 W | RRS Discovery DY111 |
2121800 | Water sample data | 2019-12-15 11:48:00 | 54.4163 S, 89.1348 W | RRS Discovery DY111 |
2053260 | Water sample data | 2019-12-22 10:47:30 | 54.4162 S, 89.1328 W | RRS Discovery DY111 |
2121885 | Water sample data | 2019-12-22 17:23:00 | 54.419 S, 89.1462 W | RRS Discovery DY111 |
2053315 | Water sample data | 2020-01-02 20:24:00 | 54.4153 S, 89.126 W | RRS Discovery DY111 |
2121953 | Water sample data | 2020-01-03 07:02:00 | 54.4113 S, 89.1282 W | RRS Discovery DY111 |
2053327 | Water sample data | 2020-01-03 15:15:30 | 54.415 S, 89.1262 W | RRS Discovery DY111 |
2121965 | Water sample data | 2020-01-03 18:14:00 | 54.4152 S, 89.1262 W | RRS Discovery DY111 |
2053886 | Water sample data | 2020-01-21 12:22:00 | 53.5811 S, 88.8621 W | RRS Discovery DY112 |
2053898 | Water sample data | 2020-01-21 13:05:00 | 53.5798 S, 88.8635 W | RRS Discovery DY112 |
2053905 | Water sample data | 2020-01-21 13:26:00 | 53.5797 S, 88.8637 W | RRS Discovery DY112 |
2053917 | Water sample data | 2020-01-21 13:42:00 | 53.5793 S, 88.8639 W | RRS Discovery DY112 |
2053929 | Water sample data | 2020-01-21 16:21:00 | 53.5787 S, 88.8643 W | RRS Discovery DY112 |
2053930 | Water sample data | 2020-01-21 16:43:00 | 53.5775 S, 88.8651 W | RRS Discovery DY112 |
2053942 | Water sample data | 2020-01-21 17:03:00 | 53.5765 S, 88.8507 W | RRS Discovery DY112 |
2053954 | Water sample data | 2020-01-21 17:20:00 | 53.5757 S, 88.8664 W | RRS Discovery DY112 |