1b:I[42426,["/_next/static/immutable/chunks/1xctgzqre-wsy.js","/_next/static/immutable/chunks/06_-wz6pdtp2b.js","/_next/static/immutable/chunks/30e52g49hg40p.js","/_next/static/immutable/chunks/02yq6tul2z-oh.js","/_next/static/immutable/chunks/10bx_ec2vj7n_.js","/_next/static/immutable/chunks/33bfn03fo8xnt.js","/_next/static/immutable/chunks/0tfjf78scu61b.js","/_next/static/immutable/chunks/31xnvej4n1bi9.js"],"default"] 1c:T1137,

Data were collected on R/V Sally Ride cruise SR2114 in the Eastern Tropical North Pacific from December 2021 to January 2022.

The MOCNESS was equipped with 10 nets of 1 square meter (m^2) mouth opening and 333 micrometer (µm) mesh size, a SeaBird SBE9+ CTD, a SeaBird SBE 43 dissolved oxygen (DO) sensor, and flow meter and angle sensors. The MOCNESS tows were performed at locations of particular biological interest (see Figure 1 of Gutiérrez-Bravo, et al. (2024)), such as the CRTD (M1), San Jose submarine canyon (M2), the center (M3, M5) and borders (M4, M6) of two anticyclonic eddies (abbreviated ACE-1 and ACE-2), and across the northern portion of the OMZ (M7 and M8).

Using manufacturer software (SBE Data Processing), CTD data were filtered and aligned. CTD-rosette data were binned to 1-meter depth and MOCNESS data were binned to 10 seconds. Conservative Temperature and Absolute Salinity were calculated. CTD-rosette data were used to construct hydrographic sections, while MOCNESS sensor data were used to describe the environmental conditions of zooplankton samples.

The MOCNESS tows were performed at 1.5-2 knots net speed and at a 40-50° net angle. A horizontal net tow strategy was followed to sample selected dissolved oxygen (DO) concentrations (oxypleths) in five sampling levels: 1) the oxic level (~200 micromoles per kilogram (μmol/kg), near surface), 2) the hypoxic (~100 μmol/kg) and 3) suboxic (~10 μmol/kg) levels in the upper core boundary, 4) the anoxic core level (<1 μmol/kg, at the center of the anoxic core), and 5) the deep level (~10 μmol/kg in the lower boundary below the anoxic core). The remaining 5 MONCESS nets were opened during transitions between target depths and were not used for this study. This horizontal sampling protocol allows for discrete, punctual sampling events, but cannot provide continuous, vertically-integrated abundances as oblique tows would (Wiebe et al. 2015). An example of the configuration of horizontal sampling levels along the water column is shown in Figure 2 of Gutiérrez-Bravo, et al. (2024). The oxic, hypoxic, and suboxic levels were sampled for ~10 minutes (~500 cubic meters (m^3) filtered volume). The deep and anoxic levels were sampled for ~20 minutes (~1000 m^3 filtered volume) to obtain sufficient sample material.

Due to time constraints and to eliminate any differences between stations caused by the phase of diel vertical migration, all the net deployments were performed during nighttime. Hence, the sampling results reflect nighttime distributions only.

Sample handling:
Gelatinous organisms, non-planktonic groups, and excess water were removed from the samples after they were retrieved from the cod ends. The samples were preserved with Ethanol 96%. At least two ethanol changes were performed during the cruise and a third was performed on land.

Zooplankton biovolume was measured by the displacement method (Steedman 1976) and standardized to milliliters per 1000 cubic meters (mL/1000 m^3) by dividing the zooplankton displacement volume (mL) by the volume of water filtered by the net (m^3).

Fish larvae and juveniles were separated and counted under a stereoscope. Fish larvae were identified to the most specific taxonomic level possible, using a specialized bibliography (Evseenko 1990; Moser 1996; Aceves-Medina et al. 1999, 2003; Evseenko and Shtaut 2000; Richards 2005; Jiménez‐Rosenberg et al. 2006; González-Navarro et al. 2013; Silva-Segundo et al. 2021). The larval stages (preflexion, flexion, postflexion, and transformation) were defined according to Moser (1996). Preflexion and flexion larvae were considered "early larval stages" as they both lack fully-developed fins. Larval abundances were standardized to larvae per 1000 cubic meters (larvae/1000 m^3) and were considered absolute abundances.

Juveniles and adults were separated, counted, and identified to family level, except for the Gonostomatidae, that were represented entirely by the genus Cyclothone. Adult abundances were standardized to fish per 1000 cubic meters (fish/1000 m^3). Because the increased swimming ability of adult fish could affect fishing efficiency, abundances were considered relative, and should not be compared with the absolute abundances of fish larvae.

1d:T1239,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.6:["$","$L1b",null,{"dataset":{"_id":"930162","description":"","problem":"","acquisition":"$1c","processing":"","bcodmoProcessing":"- Created a table of the MOCNESS numbers and dates provided by the submitter.\r\n- Imported original file \"Net_data.xlsx\" into the BCO-DMO system.\r\n- Checked species names in WoRMS. All valid except \"Opistonema spp.\" (a misspelling which has been corrected to \"Opisthonema spp.\" in the final csv file)\r\n- Renamed fields to comply with BCO-DMO naming conventions.\r\n- Added the MOCNESS dates to the primary data table in YYYY-MM-DD format.\r\n- Sorted data by MOC_Num then Stratum.\r\n- Rounded fields:\r\n-- Latitude and Longitude to 5 decimal places\r\n-- All other number fields to 6 decimal places\r\n- Saved the final file as \"930162_v1_sr2114_moc_net_data.csv\".","title":"MOCNESS net data from R/V Sally Ride cruise SR2114 in the Eastern Tropical Pacific from December 2021 to January 2022","nickname":"SR2114 MOCNESS Net Data","dataUrl":"","currentState":"Final no updates expected","currentStateId":"7","validated":true,"restricted":false,"version":"1","version_date":"2024-09-06T04:00:00.000Z","abstract":"This dataset includes the environmental data (salinity, temperature, oxygen, density, depth) from the eight MOCNESS tows on the SR2114 expedition onboard the R/V Sally Ride in December 2021 to January 2022. It also includes the larval abundance of the most abundant species and the zooplankton biovolume, as well as the larval abundance by development stage. These results are published in Gutierrez Bravo, et al. (2024).","citation":"Gutiérrez-Bravo, J. G. (2024) MOCNESS net data from R/V Sally Ride cruise SR2114 in the Eastern Tropical Pacific from December 2021 to January 2022. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-09-06 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.930162.1 [access date]","citationParts":{"identifier":"doi:10.26008/1912/bco-dmo.930162.1","versionDate":"2024-09-06","versionId":"1","year":"2024","title":"MOCNESS net data from R/V Sally Ride cruise SR2114 in the Eastern Tropical Pacific from December 2021 to January 2022","authors":"Gutiérrez-Bravo, J. G.","publisher":"Biological and Chemical Oceanography Data Management Office (BCO-DMO)."},"doi":"10.26008/1912/bco-dmo.930162.1","release_date":null,"field_dataset_location":"Eastern Tropical North Pacific","temporal_extent":{"start":"2021-12-26T05:00:00.000Z","end":"2022-01-17T05:00:00.000Z"},"temporal":{"resolution":"time:unitDay","type":"time:Interval","start":{"value":"1640494800","label":"2021-12-26"},"end":{"value":"1642395600","label":"2022-01-17"}},"spatial_extent":{"shape":"polygon","center":{"latitude":15.26053,"longitude":-101.90609},"wkt":"POLYGON ((-114.66639 8.65747, -89.14579 8.65747, -89.14579 21.86359, -114.66639 21.86359, -114.66639 8.65747))","north":21.86359,"east":-89.14579,"south":8.65747,"west":-114.66639},"dataset_type":["Cruise Results"],"keywords":["oceans"],"data_files":[{"id":"936666","title":"930162_v1_sr2114_moc_net_data.csv","url":"https://datadocs.bco-dmo.org/dataset/930162/file/QA2Xyr3cJ9w4Rr/930162_v1_sr2114_moc_net_data.csv","showTableUrl":"https://www.bco-dmo.org/dataset/930162/data/view/936666","description":"Primary data file for dataset ID 930162, version 1","filename":"930162_v1_sr2114_moc_net_data.csv","bytesize":8887,"checksum":{"value":"f0dd8e346dfdf3310535094706ac8e99","Algorithm":{"_id":"190","name":"MD5"}},"mimetype":"text/csv","fileType":{"_id":"192","name":"Comma Separated Values (.csv)"},"isErddap":"bcodmo_dataset_930162_v1","date":"","isPublicDuringEmbargo":false,"primaryDataFile":true,"showTable":true,"restricted":false}],"supplemental_files":[],"roles":[{"role":{"_id":"138","name":"Principal Investigator"},"performedBy":{"_id":"930165","name":"Juan Gerardo Gutiérrez-Bravo"},"performedAtOrganization":{"_id":"99","name":"University of Massachusetts Dartmouth SMAST"}},{"role":{"_id":"145","name":"BCO-DMO Data Manager"},"performedBy":{"_id":"51498","name":"Shannon Rauch"},"performedAtOrganization":{"_id":"191","name":"Woods Hole Oceanographic Institution"}}],"deployments":[{"_id":"931391","name":"SR2114","synonyms":[],"dates":{"start":"2021-12-23T00:00:00.000Z","end":"2022-01-21T00:00:00.000Z"},"platform":{"_id":"777407","name":"R/V Sally Ride"},"chiefScientists":[{"id":"50571","name":"Mark A. Altabet","role":"Chief Scientist"}]}],"funding":[{"_id":"925429","name":"OCE-1851361","fundingSource":{"_id":"355","name":"NSF Division of Ocean Sciences"},"url":"https://www.nsf.gov/awardsearch/show-award?AWD_ID=1851361"}],"instruments":[{"_id":"931388","name":"MOCNESS, SeaBird SBE9+ CTD","description":"The MOCNESS was equipped with 10 nets of 1 m^2 mouth opening and 333 µm mesh size, a SeaBird SBE9+ CTD, a SeaBird SBE 43 DO sensor, and flow meter and angle sensors.","type_id":"419","type_name":"CTD MOCNESS","type_desc":"The CTD part of the MOCNESS includes 1) a pressure (depth) sensor which is a thermally isolated titanium strain gauge with a standard range of 0-5000 decibars full scale, 2) A Sea Bird temperature sensor whose frequency output is measured and sent to the surface for logging and conversion to temperature by the software in the MOCNESS computer (The system allows better than 1 milli-degree resolution at 10 Hz sampling rate), and 3) A Sea Bird conductivity sensor whose output frequency is measured and sent to the surface for logging and conversion to conductivity by the software in the computer (The system allows better than 1 micro mho/cm at 10 Hz sampling rate). The data rate depends on the speed of the computer and the quality of the cable. With a good cable, the system can operate at 2400 baud, sampling all variables at 2 times per second. One sample every 4 seconds is the default, although the hardware can operate much faster. (From The MOCNESS Manual)","type_acronym":"CTD MOCNESS"},{"_id":"931389","name":"flow meter","description":"","type_id":"650","type_name":"Flow Meter","type_desc":"General term for a sensor that quantifies the rate at which fluids (e.g. water or air) pass through sensor packages, instruments, or sampling devices. A flow meter may be mechanical, optical, electromagnetic, etc.","type_acronym":"Flow Meter"},{"_id":"931390","name":"SeaBird SBE 43 DO sensor","description":"","type_id":"552","type_name":"Sea-Bird SBE 43 Dissolved Oxygen Sensor","type_desc":"The Sea-Bird SBE 43 dissolved oxygen sensor is a redesign of the Clark polarographic membrane type of dissolved oxygen sensors. More information from the manufacturer: https://www.seabird.com/products/sbe-43-dissolved-oxygen-sensor","type_acronym":"SBE-43 DO"}],"parameters":[{"_id":"931408","name":"Station","format":"","frictionlessType":"integer","description":"

Station number in cruise SR2114

","units":{"_id":"","name":"unitless"},"type":{"_id":"987","name":"station","description":"

Station identifier; a unique number or alphanumeric string designating a general geographic location at which one or more sampling activities may occur.

"}},{"_id":"931409","name":"Event","format":"","frictionlessType":"integer","description":"

Event number at the station

","units":{"_id":"","name":"unitless"},"type":{"_id":"829","name":"event","description":"

Event or operation identifier; event or operation number; often derived from date/time (MMDDHHmm) of sampling and when combined with year (YYYY) is a unique sampling identifier/data processing key. Date/time is not necessarily in GMT.

"}},{"_id":"931410","name":"MOC_Num","format":"","frictionlessType":"integer","description":"

Sequential MOCNESS number

","units":{"_id":"","name":"unitless"},"type":{"_id":"761","name":"cast","description":"

cast or profile number

"}},{"_id":"931411","name":"Date","format":"%Y-%m-%d","frictionlessType":"date","description":"

Date of the sampling event

","units":{"_id":"","name":"unitless"},"type":{"_id":"1070","name":"date","description":"

date; generally reported in GMT as YYYYMMDD (year; month; day); also as MMDD (month; day); EqPac dates are local Hawaii time. ISO_Date format is YYYY-MM-DD (http://www.iso.org/iso/home/standards/iso8601.htm)

"}},{"_id":"931413","name":"NBf","format":"","frictionlessType":"integer","description":"

Number of nets fired

","units":{"_id":"","name":"unitless"},"type":{"_id":"903","name":"number","description":"

number of organisms counted/observed, a generic term, specific to the data set in which it appears

"}},{"_id":"931414","name":"Stratum","format":"","frictionlessType":"string","description":"

Sampling location (see Gutierrez Bravo et al. 2024 for details)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1741","name":"sample_descrip","description":"

text description or other traits of the sample collected

"}},{"_id":"931415","name":"Distance","format":"","frictionlessType":"number","description":"

Distance along the cruise track

","units":{"_id":"","name":"kilometers (km)"},"type":{"_id":"1073","name":"no_bcodmo_term","description":"

An association with a community-wide standard parameter has not yet been made.

"}},{"_id":"931416","name":"Density00","format":"","frictionlessType":"number","description":"

Density anomaly

","units":{"_id":"","name":"grams per kilogram (g/kg)"},"type":{"_id":"806","name":"density","description":"

density, in mass per unit volume

"}},{"_id":"931417","name":"DepSM","format":"","frictionlessType":"number","description":"

Depth

","units":{"_id":"","name":"meters (m)"},"type":{"_id":"808","name":"depth","description":"

Observation/sample depth below the sea surface. Units often reported as: meters, feet.

\nWhen used in a JGOFS/GLOBEC dataset the depth is a best estimate; usually but not always calculated from pressure; calculated either from CTD pressure using Fofonoff and Millard (1982; UNESCO Tech Paper #44) algorithm adjusted for 1980 equation of state for seawater (EOS80) or simply equivalent to nominal depth as recorded during sampling if CTD pressure was unavailable.

"}},{"_id":"931418","name":"Latitude","format":"","frictionlessType":"number","description":"

Latitude of the sampling event

","units":{"_id":"","name":"decimal degrees"},"type":{"_id":"730","name":"latitude","description":"

latitude, in decimal degrees, North is positive, negative denotes South; Reported in some datasets as degrees, minutes

"}},{"_id":"931419","name":"Longitude","format":"","frictionlessType":"number","description":"

Longitude of the sampling event

","units":{"_id":"","name":"decimal degrees"},"type":{"_id":"731","name":"longitude","description":"

longitude, in decimal degrees, East is positive, negative denotes West; Reported in some datasets as degrees, minutes

"}},{"_id":"931420","name":"Sbox0Mm_Kg","format":"","frictionlessType":"number","description":"

Mean oxygen from SBE in the whole net tow

","units":{"_id":"","name":"micromoles per kilogram (umol/kg)"},"type":{"_id":"910","name":"dissolved Oxygen","description":"

dissolved oxygen concentration

"}},{"_id":"931421","name":"Sal00","format":"","frictionlessType":"number","description":"

Salinity

","units":{"_id":"","name":"PSU"},"type":{"_id":"955","name":"sal","description":"

Salinity: The amount (mass or quantity of matter) of salt per amount (volume or mass) of a body of water.

"}},{"_id":"931422","name":"T090C","format":"","frictionlessType":"number","description":"

Temperature

","units":{"_id":"","name":"degrees Celsius"},"type":{"_id":"733","name":"temperature","description":"

water temperature at measurement depth

"}},{"_id":"931423","name":"Gsw_saA0","format":"","frictionlessType":"number","description":"

Conservative temperature

","units":{"_id":"","name":"degrees Celsius"},"type":{"_id":"733","name":"temperature","description":"

water temperature at measurement depth

"}},{"_id":"931424","name":"Gsw_ctA0","format":"","frictionlessType":"number","description":"

Absolute salinity

","units":{"_id":"","name":"PSU"},"type":{"_id":"955","name":"sal","description":"

Salinity: The amount (mass or quantity of matter) of salt per amount (volume or mass) of a body of water.

"}},{"_id":"931425","name":"Biovolume","format":"","frictionlessType":"integer","description":"

Zooplankton biovolume measured by displacement method

","units":{"_id":"","name":"milliliters per 1000 cubic meters"},"type":{"_id":"754","name":"biovolume","description":"

The volume of cells or organisms in a unit amount of water.

"}},{"_id":"931426","name":"Larval_Abundance","format":"","frictionlessType":"number","description":"

Total larval abundance standardized to larvae 1000 m^-3

","units":{"_id":"","name":"larvae per 1000 cubic meters"},"type":{"_id":"735","name":"abundance","description":"