Contributors | Affiliation | Role |
---|---|---|
Santoro, Alyson E. | University of Maryland Center for Environmental Science (UMCES/HPL) | Principal Investigator |
Saito, Mak A. | Woods Hole Oceanographic Institution (WHOI) | Co-Principal Investigator |
Laperriere, Sarah Marie | University of California-Santa Barbara (UCSB) | Scientist |
Biddle, Mathew | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Soenen, Karen | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Falkor ProteOMZ nitrous oxide from expedition (FK160115) in the Central Pacific in 2016.
Samples were collected from the CTD rosette into 160 mL glass serum bottles.
Nitrous oxide concentration: N2O concentrations were measured using a headspace equilibration method and analyzed on a SRI Greenhouse Gas Monitoring Gas Chromatograph (GC) equipped with an electron capture detector (ECD), dual HayeSep D packed columns, and a 1-mL sample loop (SRI Instruments, Torrance, California, USA; Elkins 1980; Laperriere et al. 2019). N2O concentrations were calculated according to Walter et al. (2006).
BCO-DMO Processing Notes:
- added conventional header with dataset name, PI name, version date
- modified parameter names to conform with BCO-DMO naming conventions
- combined date and time columns to form ISO Date format in column ISO_DateTime_UTC
File |
---|
n2o.csv (Comma Separated Values (.csv), 14.72 KB) MD5:a939e48d4656a988f2ba3790acc425bc Primary data file for dataset ID 775849 |
Parameter | Description | Units |
ISO_DateTime_UTC | Date time time of cast following ISO 8601 convention in UTC | unitless |
station | Station number | unitless |
ctd | CTD cast number | unitless |
latitude | latitude of station; North is positive; negative denotes South | decimal degrees |
longitude | longitude station East is positive; negative denotes West | decimal degrees |
niskin | Niskin bottle number | unitless |
depth | depth of sampling | meters (m) |
salinity | Salinity from CTD | practical salinity units (PSU) |
temperature | Temperature from CTD | Celsius (C) |
n2o_1 | Nitrous oxide concentration replicate 1 | nanomoles per liter (nmol/L) |
n2o_2 | Nitrous oxide concentration replicate 2 | nanomoles per liter (nmol/L) |
n2o_3 | Nitrous oxide concentration replicate 3 | nanomoles per liter (nmol/L) |
n2o_4 | Nitrous oxide concentration replicate 4 | nanomoles per liter (nmol/L) |
n2o_5 | Nitrous oxide concentration replicate 5 | nanomoles per liter (nmol/L) |
Dataset-specific Instrument Name | CTD |
Generic Instrument Name | CTD - profiler |
Dataset-specific Description | Temperature and Salinity are from CTD |
Generic Instrument Description | The Conductivity, Temperature, Depth (CTD) unit is an integrated instrument package designed to measure the conductivity, temperature, and pressure (depth) of the water column. The instrument is lowered via cable through the water column. It permits scientists to observe the physical properties in real-time via a conducting cable, which is typically connected to a CTD to a deck unit and computer on a ship. The CTD is often configured with additional optional sensors including fluorometers, transmissometers and/or radiometers. It is often combined with a Rosette of water sampling bottles (e.g. Niskin, GO-FLO) for collecting discrete water samples during the cast.
This term applies to profiling CTDs. For fixed CTDs, see https://www.bco-dmo.org/instrument/869934. |
Dataset-specific Instrument Name | RI Greenhouse Gas Monitoring Gas Chromatograph |
Generic Instrument Name | Gas Chromatograph |
Dataset-specific Description | Nitrous oxide concentration: N2O concentrations were measured using a headspace equilibration method and analyzed on a SRI Greenhouse Gas Monitoring Gas Chromatograph (GC) equipped with an electron capture detector (ECD), dual HayeSep D packed columns, and a 1-mL sample loop (SRI Instruments, Torrance, California, USA; Elkins 1980; Laperriere et al. 2019). |
Generic Instrument Description | Instrument separating gases, volatile substances, or substances dissolved in a volatile solvent by transporting an inert gas through a column packed with a sorbent to a detector for assay. (from SeaDataNet, BODC) |
Website | |
Platform | R/V Falkor |
Report | |
Start Date | 2016-01-16 |
End Date | 2016-02-11 |
Description | Project: Using Proteomics to Understand Oxygen Minimum Zones (ProteOMZ)
More information is available from the ship operator at https://schmidtocean.org/cruise/investigating-life-without-oxygen-in-the...
Additional cruise information is available from the Rolling Deck to Repository (R2R): https://www.rvdata.us/search/cruise/FK160115 |
From Schmidt Ocean Institute's ProteOMZ Project page:
Rising temperatures, ocean acidification, and overfishing have now gained widespread notoriety as human-caused phenomena that are changing our seas. In recent years, scientists have increasingly recognized that there is yet another ingredient in that deleterious mix: a process called deoxygenation that results in less oxygen available in our seas.
Large-scale ocean circulation naturally results in low-oxygen areas of the ocean called oxygen deficient zones (ODZs). The cycling of carbon and nutrients – the foundation of marine life, called biogeochemistry – is fundamentally different in ODZs than in oxygen-rich areas. Because researchers think deoxygenation will greatly expand the total area of ODZs over the next 100 years, studying how these areas function now is important in predicting and understanding the oceans of the future. This first expedition of 2016 led by Dr. Mak Saito from the Woods Hole Oceanographic Institution (WHOI) along with scientists from University of Maryland Center for Environmental Science, University of California Santa Cruz, and University of Washington aimed to do just that, investigate ODZs.
During the 28 day voyage named “ProteOMZ,” researchers aboard R/V Falkor traveled from Honolulu, Hawaii to Tahiti to describe the biogeochemical processes that occur within this particular swath of the ocean’s ODZs. By doing so, they contributed to our greater understanding of ODZs, gathered a database of baseline measurements to which future measurements can be compared, and established a new methodology that could be used in future research on these expanding ODZs.
Funding Source | Award |
---|---|
Schmidt Ocean Institute (SOI) | |
Alfred P. Sloan Foundation (Sloan) |