| Contributors | Affiliation | Role |
|---|---|---|
| Altabet, Mark A. | University of Massachusetts Dartmouth SMAST (UMASSD-SMAST) | Principal Investigator |
| D'Asaro, Eric | University of Washington Applied Physics Laboratory (UW APL) | Co-Principal Investigator |
| McNeil, Craig L. | University of Washington Applied Physics Laboratory (UW APL) | Co-Principal Investigator |
| Newman, Sawyer | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Sampling was conducted using a standard Sea-Bird CTD/Niskin rosette system. Hydrographic data were processed with Sea-Bird software following standard procedures. Dissolved oxygen (O₂) was measured with an SBE43 sensor, beam attenuation with a WET Labs C-STAR transmissometer, and fluorescence with a WET Labs ECO fluorometer. Concentrations of nitrate (NO₃⁻), nitrite (NO₂⁻), phosphate (PO₄³⁻), and silicate (SiO₄⁴⁻) were measured at sea using a Seal AQ400 discrete autoanalyzer with standard chemical methods. The isotopic composition of nitrate was determined on samples returned to the laboratory, following the procedures described in Altabet et al. (2019). Samples for nitrate isotope analysis were preserved by mild acidification and the addition of sulfamic acid to remove nitrite. Measurements were made using an IsoPrime isotope ratio mass spectrometer (IRMS) operated with IonVantage software.
* In the primary data file (984479_v1_sr2114_ctd_bottle_data.csv), special characters and blank spaces in column/parameter names were removed and replaced with underscores ("_") to improve consistency and machine readability.
* Date values were reformatted from a two-digit year representation (%m-%d-%y) to the ISO 8601 standard format (%Y-%m-%d).
* Column names containing chemical species names have been changed from their chemical formulas (e.g., NO3-, NO2-, PO4-3, SiO3-1, O2, d15N–NO3-) to standardized, FAIR-compliant names (e.g., dissolved_nitrate, dissolved_nitrite, dissolved_phosphate, dissolved_silicate, dissolved_oxygen, and delta15N_dissolved_nitrate).
* Missing data values indicated as "#N/A" have been replaced in the data file with blank data values ("").
| File |
|---|
984479_v1_sr2114_ctd_bottle_data.csv (Comma Separated Values (.csv), 92.51 KB) MD5:207096db6a795ee48585e1cdcd0cd3e3 Primary data file for dataset ID 984479, version 1 |
| Parameter | Description | Units |
| Event | Station number combined with the sequential over-the-side event number for that station. | unitless |
| Niskin | Niskin bottle number from which the sample was collected. | unitless |
| Date | Calendar date of the CTD cast. | unitless |
| Latitude | Latitude of the sample location derived from the associated bottle file. Values are reported in decimal degrees with positive values indicating northern hemisphere coordinates. | decimal degrees |
| Longitude | Longitude of the sample location, obtained from the associated bottle file. Values are reported in decimal degrees with negative values indicating western hemisphere coordinates. | decimal degrees |
| Pressure | Hydrostatic pressure at depth of sample collection. | decibar (dB) |
| Depth_m | Depth at which the Niskin bottle was closed. | meters (m) |
| Sigma_Theta | Potential density anomaly. | kilograms per cubic meter (kg/m3) |
| In_situ_Temp | Temperature measured directly at sampling depth (in situ) by the CTD sensor. | degrees Celcius © |
| Potential_Temperature | Potential temperature of seawater, calculated from in situ temperature and pressure. | degrees Celcius © |
| Salinity | Practical salinity of seawater. | PSU |
| Beam_Attenuation | Beam attenuation coefficient (c), describing the reduction of a collimated light beam per unit path length due to absorption and scattering. | reciprocal meters (m-1) |
| Fluorescence | Raw chlorophyll fluorescence signal from CTD fluorometer, reported in arbitrary units (a.u.); values are relative and not calibrated to concentration. | arbitrary units (a.u.) |
| dissolved_oxygen | Concentration of dissolved molecular oxygen (O2) in seawater, reported in micromoles per kilogram (µmol/kg). | micromoles per kilogram (umol/kg) |
| dissolved_nitrate | Concentration of dissolved nitrate (NO3-) in seawater, reported in micromoles per kilogram (µmol/kg). | micromoles per kilogram (umol/kg) |
| dissolved_nitrite | Concentration of dissolved nitrite (NO2-) in seawater, reported in micromoles per kilogram (µmol/kg). | micromoles per kilogram (umol/kg) |
| dissolved_phosphate | Concentration of dissolved phosphate (PO4-3) in seawater, reported in micromoles per kilogram (µmol/kg). | micromoles per kilogram (umol/kg) |
| dissolved_silicate | Concentration of dissolved silicate (SiO3-1, reported as silicic acid), in micromoles per kilogram (µmol/kg). | micromoles per kilogram (umol/kg) |
| delta15N_dissolved_nitrate | Natural 15N/14N of dissolved nitrate relative to atmospheric N2. | per mille (‰) |
| Dataset-specific Instrument Name | SeaBird CTD/Niskin Rosette System |
| Generic Instrument Name | CTD Sea-Bird |
| Dataset-specific Description | Sampling was done using a standard SeaBird CTD/Niskin Rosette system. Hydrographic data was processed using SeaBird software and standard procedures. |
| Generic Instrument Description | A Conductivity, Temperature, Depth (CTD) sensor package from SeaBird Electronics. This instrument designation is used when specific make and model are not known or when a more specific term is not available in the BCO-DMO vocabulary. Refer to the dataset-specific metadata for more information about the specific CTD used. More information from: http://www.seabird.com/ |
| Dataset-specific Instrument Name | Isoprime IRMS |
| Generic Instrument Name | GV Instruments IsoPrime Isotope Ratio Mass Spectrometer |
| Dataset-specific Description | The isotopic composition of nitrate was determined on samples returned to the laboratory using procedures described Altabet et al. (2019). Samples for nitrate isotope analysis were preserved by mild acidification and addition of sulfamic acid to remove nitrite. An IsoPrime IRMS running IonVantage was used to make these measurements. The measurement principle for the N isotopic composition of nitrate was continuous flow IRMS with a precision of ±0.2‰. |
| Generic Instrument Description | The GV Instruments IsoPrime Isotope Ratio Mass Spectrometer is a laboratory benchtop isotope ratio mass spectrometer (IRMS), that operates in dual inlet or continuous flow modes. It forms part of the IsoPrime system which has a range of sample preparation and purification modules that can be coupled with the IsoPrime IRMS. The modules can analyse a range of samples (solids, liquids or gases) and each prepares the sample to be introduced into the IRMS as purified gases. The resultant prepared gases such as H2, CO2, CO, N2, SO2 or N2O are then ionised and analysed for their isotopic content by the IRMS. The instrument was originally manufactured GV instruments as part of the IsoPrime series, but this part of the business was sold to Isoprime Ltd (a group member of Elementar Analysensysteme GmbH) and this instrument has been superseded by more recent models. |
| Dataset-specific Instrument Name | SBE43 O2 Sensor |
| Generic Instrument Name | Sea-Bird SBE 43 Dissolved Oxygen Sensor |
| Dataset-specific Description | Oxygen measurements were taken by a SBE43 sensor and processed by SeaBird software. |
| Generic Instrument Description | The Sea-Bird SBE 43 dissolved oxygen sensor is a redesign of the Clark polarographic membrane type of dissolved oxygen sensors. more information from Sea-Bird Electronics |
| Dataset-specific Instrument Name | Seal AQ400 Discrete Autoanalyzer |
| Generic Instrument Name | Seal Analytical AutoAnalyser 3HR |
| Dataset-specific Description | Nitrate (NO₃⁻), nitrite (NO₂⁻), phosphate (PO₄³⁻), and silicate (SiO₄⁴⁻) concentrations were measured at sea with a Seal AQ400 discrete autoanalyzer following standard chemical methods. |
| Generic Instrument Description | A fully automated Segmented Flow Analysis (SFA) system, ideal for water and seawater analysis. It comprises a modular system which integrates an autosampler, peristaltic pump, chemistry manifold and detector. The sample and reagents are pumped continuously through the chemistry manifold, and air bubbles are introduced at regular intervals forming reaction segments which are mixed using glass coils. The AA3 uses segmented flow analysis principles to reduce inter-sample dispersion, and can analyse up to 100 samples per hour using stable LED light sources. |
| Dataset-specific Instrument Name | WET Labs ECO Fluorometer |
| Generic Instrument Name | Wet Labs ECO-AFL/FL Fluorometer |
| Dataset-specific Description | Fluorescence was measured by a Wet Labs ECO fluorometer. |
| Generic Instrument Description | The Environmental Characterization Optics (ECO) series of single channel fluorometers delivers both high resolution and wide ranges across the entire line of parameters using 14 bit digital processing. The ECO series excels in biological monitoring and dye trace studies. The potted optics block results in long term stability of the instrument and the optional anti-biofouling technology delivers truly long term field measurements.
more information from Wet Labs |
| Dataset-specific Instrument Name | WET Labs C-STAR Sensor |
| Generic Instrument Name | WET Labs {Sea-Bird WETLabs} C-Star transmissometer |
| Dataset-specific Description | Beam attenuation values were measured by a WET Labs C-STAR sensor. |
| Generic Instrument Description | The C-Star transmissometer has a novel monolithic housing with a highly intgrated opto-electronic design to provide a low cost, compact solution for underwater measurements of beam transmittance. The C-Star is capable of free space measurements or flow-through sampling when used with a pump and optical flow tubes. The sensor can be used in profiling, moored, or underway applications. Available with a 6000 m depth rating.
More information on Sea-Bird website: https://www.seabird.com/c-star-transmissometer/product?id=60762467717 |
| Website | |
| Platform | R/V Sally Ride |
| Start Date | 2021-12-23 |
| End Date | 2022-01-21 |
| Description | Additional cruise information is available from R2R: https://www.rvdata.us/search/cruise/SR2114 |
NSF Award Abstract:
Several regions of the deep ocean naturally contain almost no oxygen. Because of this lack of oxygen, microbes living in these regions live in ways that differ from those in oxygenated waters consuming nitrate ions instead of oxygen for respiration. Use of nitrate for microbial respiration results in the production of nitrogen gas which is called denitrification. The resulting removal of nitrate has consequences for the whole ocean as nitrogen is an important nutrient controlling plant growth; however, whereas plants can use nitrogen in the form of nitrate, they cannot, with a few exceptions, use nitrogen gas. There remains a number of uncertainties regarding how much denitrification occurs in the ocean, what controls it, and how it varies in time and space. Traditional studies of ocean denitrification have been limited by the time ships can be at sea and the relatively small proportion of the ocean they can observe. Our project plans to remedy this problem by using vehicles called floats that can operate autonomously in the ocean for three years or more as they drift with currents over hundreds of kilometers. We will outfit ten floats with sensors to measure oxygen and nitrogen gas which will be placed throughout the oxygen-depleted region of the Pacific Ocean to the west of Mexico. This is the largest such region in the ocean from which we have two years of results from a prototype float which validated our approach. This study may well transform our understanding of ocean denitrification and ultimately benefit society as a whole through greater confidence in predictions of the ocean's nitrogen cycle and capacity to fix carbon dioxide under current and future conditions. Application and further development of float systems using commercially available technology will directly benefit successor studies, and more broadly showcase the use of water-following platforms to tackle difficult oceanographic problems. Advances from this study are expected to carry over to other disciplines including ocean biogeochemical modeling. Outreach activities, support for an early career scientist, and student training are included in the project. For the outreach activities, the investigators plan to tie into well-established after-school programs serving underrepresented populations in Massachusetts and established opportunities for public presentations using float related display materials at the University of Washington.
Oxygen deficient zones (ODZs), despite constituting a small fraction of total oceanic volume, play important roles in regulating global ocean carbon and nitrogen cycles including hosting 30 to 50% of the global loss of fixed nitrogen. Unfortunately, current uncertainty in ODZ nitrogen loss derives from substantial temporal and spatial variability in rates that remain under-sampled by ship-based measurements. While local regulation of nitrogen loss by oxygen and organic matter availability are well accepted, temporal/spatial variability in the nitrogen flux is likely a result of the influence of physical forcings such as remote ventilation, seasonal variability, and mesoscale eddies. Understanding how the impact of physical forcings on nitrogen loss as mediated through oxygen and organic flux will be required to fully understand the causes and consequences of any future ODZ expansion. To improve our understanding of ODZ nitrogen loss, we will carry out a multiyear, autonomous float-based observational program to address outstanding questions regarding bioavailable nitrogen loss in ODZs. As the largest ODZ and region of our pilot deployments, our operation area will be the Eastern Tropical N. Pacific (ETNP) where our study will determine over a multi-year period, in-situ nM-level oxygen and biogenic nitrogen on float profiles spanning geographic gradients in oxygen and surface productivity. For the first time, our study will also determine in situ nitrogen loss rates from changes in nitrogen concentration during 1 to 2 week Lagrangian float drifts along a constant density surface. A pilot 2 yr float deployment in the ETNP documents our ability to do so. Critically, our float-based approach more closely matches the frequency and distribution of observations to the expected variability in biogenic nitrogen production as compared to prior work and will dramatically increase the data density for this region by acquiring >500 profiles/drifts for nitrogen and >1000 profiles for nM oxygen.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
| Funding Source | Award |
|---|---|
| NSF Division of Ocean Sciences (NSF OCE) |