19: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"] 1a:T4a4,

Sampling was conducted on R/V Pelican cruise PE22-03 in the Northern Gulf of Mexico in August 2021. Surface and bottom water samples were collected in duplicate at five stations.

Duplicate water samples from surface and bottom water at each station were collected from Niskin bottles attached to the CTD rosette into polycarbonate carboys and subsequently filtered via peristaltic pumping and masterflex tubing through 2.7 µm Whatman GF/D and 0.22 µm Sterivex filters. This filtrate was collected into 50 mL Falcon tubes and immediately stored at -20 degrees Celsius. Samples were shipped frozen to the University of Washington Marine Chemistry Laboratory for analysis. Details on analysis protocols and instruments can be found at https://www.ocean.washington.edu/story/Marine_Chemistry_Laboratory

Details on sample processing for this dataset can be found in the attached Supplemental File "PE22-03_Nutrients_File_Header.pdf".

1b:T12ce,NSF Award Abstract: Decreasing marine dissolved oxygen (DO) is a widespread and growing global problem. Among the chief causes for coastal losses of DO are anthropogenic nutrient inputs that lead to seasonal hypoxia- DO concentrations below 2 mg/L. Microorganisms are the primary agents of oxygen removal, and although we have a basic mechanistic understanding of how nutrient enrichment combines with stratification to stimulate microbial metabolism and oxygen drawdown, we still do not know which microorganisms are ultimately responsible for oxygen consumption leading to, and during, coastal hypoxia in any particular region. Nor do we know the extent to which each hypoxic system arises from universal microbial mechanisms or whether there may be unique microorganisms and metabolic pathways involved in each locale. Hypoxic regions are increasing in number and size around the globe, amplifying the need to better understand the microbial processes responsible for oxygen consumption. In response, the project pursues an integrated research and education effort to study the microbial mechanisms of oxygen respiration in two coastal zones where DO depletion occurs: the northern Gulf of Mexico ?dead zone?, and the Southern California Bight. This work identifies the microorganism actively consuming oxygen in these systems, what fuels them, and whether/how those taxa respond to environmental changes. The investigators are generating microbial DO consumption rate, genetic, and taxonomic data critical to better constraining respiration models focused on water column DO depletion. In doing so, hundreds of undergraduate and students and dozens of high school STEM teachers contribute valuable data by participating in modern marine microbiological research. The project also improves integration of authentic research experiences into college and high-school classrooms in the context of a problem of global relevance. Regions of low DO take multiple forms, from vast open ocean oxygen minimum zones (OMZs) which hover in the upper water column, to shallower coastal zones of bottom water hypoxia fueled by close proximity to fluvial inputs of human supplied nutrients. Microbial respiration is primarily responsible for the ultimate consumption of DO, and therefore understanding the microorganisms that inhabit these systems and their metabolic capabilities is critical for improving our ability to predict the timing, extent, and severity of DO depletion, and how these factors relate to environmental change. While there has been substantial research into the microbiology of OMZs, we know comparatively little about the microbial dynamics, and in particular, the microorganisms responsible for oxygen consumption, in coastal hypoxia. This integrated research and education effort is framed by the following objectives: 1. Determine the microorganisms and metabolic processes responsible for actively respiring water column DO prior to, and during, hypoxia. 2. Quantify microbial respiration rates for communities and representative water column species in both the planktonic and particle-associated fractions. 3. Integrate authentic microbiology research on a globally relevant topic into undergraduate and high school classrooms. The work uses a combination of advanced cultivation-independent and pure culture measurements to discriminate between oxygen consumption by planktonic and particle-associated microbial fractions, as well as by communities at the surface and those in bottom waters, in two different systems of coastal DO depletion (the northern Gulf of Mexico hypoxic zone and the Southern California coastal shelf). Direct assessment of actively respiring taxa are connected with their metabolic potential, gene expression, and respiration rates. This project is determining, for the first time, the taxa actively consuming oxygen in these systems. The results also provide size fractionated respiration rates and bacterial growth efficiency (BGE) with depth across multiple sites and seasons, and importantly, also yield cell-specific respiration rates and BGE for active taxa within these systems. This data will constrain variable respiration across differing environmental conditions. The investigators are experimentally testing how alterations in environmental variables affect these respiration rates and BGEs, leading to greater predictive insight for the range of effects climate forcing will have on DO consumption. This information also facilitates comparisons between multiple marine systems to identify whether common or distinct organisms and metabolic processes are operating to remove DO. 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:["$","$L19",null,{"dataset":{"_id":"878848","description":"","problem":"","acquisition":"$1a","processing":"

BCO-DMO Processing:
\n- added station latitude and longitude from the separate file of station locations for PE22-03;
\n- renamed fields to comply with BCO-DMO naming conventions;
\n- rounded numeric columns to same precision shown in the original Excel file;
\n- empty/blank values are filled with \"nd\" (no data).

\n","bcodmoProcessing":"","title":"Nutrient concentrations from R/V Pelican cruise PE22-03 in the Northern Gulf of Mexico in August 2021","nickname":"PE22-03 Nutrients","dataUrl":"","currentState":"Final no updates expected","currentStateId":"7","validated":true,"restricted":false,"version":"1","version_date":"2022-09-02T04:00:00.000Z","abstract":"This dataset includes marine chemistry measurements (PO4, SiOH4, NO3, NO2, NH4) from the \"Microbial DO respir\" cruise on R/V Pelican (cruise ID PE22-03) in the Northern Gulf of Mexico in August 2021. Surface and bottom water samples were collected in duplicate at five stations.","citation":"Thrash, J. C. (2023) Nutrient concentrations from R/V Pelican cruise PE22-03 in the Northern Gulf of Mexico in August 2021. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-09-02 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.878848.1 [access date]","citationParts":{"identifier":"doi:10.26008/1912/bco-dmo.878848.1","versionDate":"2022-09-02","versionId":"1","year":"2023","title":"Nutrient concentrations from R/V Pelican cruise PE22-03 in the Northern Gulf of Mexico in August 2021","authors":"Thrash, J. 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Cameron Thrash"},"performedAtOrganization":{"_id":"306","name":"University of Southern California"}},{"role":{"_id":"145","name":"BCO-DMO Data Manager"},"performedBy":{"_id":"51498","name":"Shannon Rauch"},"performedAtOrganization":{"_id":"191","name":"Woods Hole Oceanographic Institution"}}],"deployments":[{"_id":"878845","name":"PE22-03","synonyms":["Microbial DO respir"],"dates":{"start":"2021-08-03T00:00:00.000Z","end":"2021-08-07T00:00:00.000Z"},"platform":{"_id":"54114","name":"R/V Pelican"},"chiefScientists":[{"id":"707009","name":"J. Cameron Thrash","role":"Chief Scientist"}]}],"funding":[{"_id":"783870","name":"OCE-1945279","fundingSource":{"_id":"355","name":"NSF Division of Ocean Sciences"},"url":"https://www.nsf.gov/awardsearch/show-award?AWD_ID=1945279"}],"instruments":[{"_id":"878856","name":"Niskin bottles","description":"","type_id":"413","type_name":"Niskin bottle","type_desc":"A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24, or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc.","type_acronym":"Niskin bottle"},{"_id":"879633","name":"SEAL AA3","description":"","type_id":"558","type_name":"Nutrient Autoanalyzer","type_desc":"Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified. In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples.","type_acronym":"Nutrient Autoanalyzer"}],"parameters":[{"_id":"879620","name":"Seq","format":"","frictionlessType":"number","description":"

Internal ID number used by the lab

","units":{"_id":"","name":"unitless"},"type":{"_id":"1073","name":"no_bcodmo_term","description":"

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

"}},{"_id":"879621","name":"Bottle","format":"","frictionlessType":"string","description":"

Bottle number

","units":{"_id":"","name":"unitless"},"type":{"_id":"757","name":"bottle","description":"

water bottle number, generally assigned to a position on a CTD rosette, identifies all samples drawn from a given bottle

"}},{"_id":"879622","name":"Sample_ID","format":"","frictionlessType":"string","description":"

Sample ID number

","units":{"_id":"","name":"unitless"},"type":{"_id":"960","name":"sample","description":"

unique sample identification or number; any combination of alpha numeric characters; precise definition is file dependent

"}},{"_id":"879623","name":"Latitude","format":"","frictionlessType":"number","description":"

Station latitude

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

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

"}},{"_id":"879624","name":"Longitude","format":"","frictionlessType":"number","description":"

Station longitude

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

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

"}},{"_id":"879625","name":"Depth","format":"","frictionlessType":"number","description":"

Sample 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":"879626","name":"Dilution_Factor","format":"","frictionlessType":"number","description":"

Dilution factor

","units":{"_id":"","name":"unitless"},"type":{"_id":"561615","name":"dilution","description":"

During experimental conditions, the process of making a solution or sample weaker or less concentrated by the addition of other solution(s) or material(s). Typically, the description and quantity of the solution(s) being added.

"}},{"_id":"879627","name":"PO4","format":"","frictionlessType":"number","description":"

Concentration of PO4 (calcuated value)

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"937","name":"PO4","description":"

Orthophosphate (phosphate, reactive phosphorus), Various units.

"}},{"_id":"879628","name":"SiOH4","format":"","frictionlessType":"number","description":"

Concentration of SiOH4 (calcuated value)

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"973","name":"SiOH_4","description":"

Silicate (silicic acid, Orthosilicic Acid), Si(OH)4, uM (micromolar) or ug-at Si(OH)4-Si/l (colloquially known as 'silicate')

"}},{"_id":"879629","name":"NO3","format":"","frictionlessType":"number","description":"

Concentration of NO3 (calcuated value)

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"1194","name":"NO3","description":"

Nitrate concentration in the water column

"}},{"_id":"879630","name":"NO2","format":"","frictionlessType":"number","description":"

Concentration of NO2 (calcuated value)

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"1192","name":"NO2","description":"

Nitrite

"}},{"_id":"879631","name":"NH4","format":"","frictionlessType":"number","description":"

Concentration of NH4 (calcuated value)

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"901","name":"Ammonium","description":"

Ammonium and ammonia concentration parameters in any body of fresh or salt water.

"}}],"related_publications":[],"related_datasets":[],"services":[{"grouping":"","items":[{"name":"View Data","description":"An in-browser view of the primary tabular data file","url":"https://www.bco-dmo.org/dataset/878848/data/view","contentType":"text/html","actionType":"view"}]},{"grouping":"Metadata","items":[{"name":"HTML","description":"A simple HTML page of the dataset metadata","url":"https://www.bco-dmo.org/dataset/878848/description","contentType":"text/html","actionType":"view"},{"name":"PDF","description":"A PDF of the HTML dataset metadata","url":"https://www.bco-dmo.org/dataset/878848/Dataset_description.pdf","contentType":"application/pdf","actionType":"download"},{"name":"ISO 19115-2 (NOAA Profile)","description":"","url":"https://www.bco-dmo.org/dataset/878848/iso","contentType":"application/xml","actionType":"download"}]}],"programs":[],"projects":[{"_id":"783867","name":"CAREER: Investigating aerobic microbial respiration dynamics in coastal hypoxia","acronym":"Coastal O2 Respir","description":"$1b"}],"archives":[{"id_value":"10.26008/1912/bco-dmo.878848.1","url":"https://doi.org/10.26008/1912/bco-dmo.878848.1","date_assigned":"2023-07-05","version_date":"2022-09-02","archiver":"Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)","archiver_id":"272"}],"license":{"name":"Creative Commons Attribution 4.0","id":"CC-BY-4.0","uri":"https://creativecommons.org/licenses/by/4.0/","spdxUri":"https://spdx.org/licenses/CC-BY-4.0"},"metrics":{"views":{"count":167},"downloads":{"count":475}}}}]