The NSF Award Search web API provides a web API interface to the Research.gov's Research Spending and Results data, which provides NSF research award information from 2007.

Physiochemical data from samples collected along the coast of Louisiana, USA during 2018. access_formats=.htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt acquisition_description=Samples were collected manually by filling an acid-washed and autoclaved 20L carboy after three rinses. Temperature, pH, and salinity were taken using a handheld YSI. Cell counts were obtained by filtering water through a 2.7 \u00b5m Whatman GF/D filter, fixing with 10% formaldehyde, placing on ice, and then counting using flow cytometry (Thrash et al., 2015, Hydrocarbon and Lipid Microbiology Protocols). Inorganic nutrients were measured at the University of Washington Marine Chemistry Laboratory after sequential filtration through 2.7 Whatman GF/D and 0.22 \u00b5m Sterivex filters. Samples were initially placed on ice in the field, and then refrigerated until shipment with ice packs. awards_0_award_nid=707004 awards_0_award_number=OCE-1747681 awards_0_data_url=https://www.nsf.gov/awardsearch/showAward?AWD_ID=1747681 awards_0_funder_name=NSF Division of Ocean Sciences awards_0_funding_acronym=NSF OCE awards_0_funding_source_nid=355 awards_0_program_manager=Michael E. Sieracki awards_0_program_manager_nid=50446 awards_1_award_nid=707005 awards_1_award_number=OCE-1747722 awards_1_data_url=https://www.nsf.gov/awardsearch/showAward?AWD_ID=1747722 awards_1_funder_name=NSF Division of Ocean Sciences awards_1_funding_acronym=NSF OCE awards_1_funding_source_nid=355 awards_1_program_manager=Michael E. Sieracki awards_1_program_manager_nid=50446 awards_2_award_nid=787323 awards_2_award_number=OCE-1931113 awards_2_data_url=http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1931113 awards_2_funder_name=NSF Division of Ocean Sciences awards_2_funding_acronym=NSF OCE awards_2_funding_source_nid=355 awards_2_program_manager=Daniel Thornhill awards_2_program_manager_nid=722161 cdm_data_type=Other comment=Physiochemical data for coastal samples PI: J. Cameron Thrash (USC) Co-PI: Elizabeth B. Kujawinksi (WHOI) Version history: 2020-02-13 - version 2 (current) 2018-08-30 - version 1 Conventions=COARDS, CF-1.6, ACDD-1.3 data_source=extract_data_as_tsv version 2.3 19 Dec 2019 defaultDataQuery=&time<now doi=10.1575/1912/bco-dmo.745449.2 Easternmost_Easting=-89.676029 geospatial_lat_max=29.867989 geospatial_lat_min=29.243342 geospatial_lat_units=degrees_north geospatial_lon_max=-89.676029 geospatial_lon_min=-93.340714 geospatial_lon_units=degrees_east infoUrl=https://www.bco-dmo.org/dataset/745449 institution=BCO-DMO instruments_0_acronym=Flow Cytometer instruments_0_dataset_instrument_description=Used for sampling instruments_0_dataset_instrument_nid=745484 instruments_0_description=Flow cytometers (FC or FCM) are automated instruments that quantitate properties of single cells, one cell at a time. They can measure cell size, cell granularity, the amounts of cell components such as total DNA, newly synthesized DNA, gene expression as the amount messenger RNA for a particular gene, amounts of specific surface receptors, amounts of intracellular proteins, or transient signalling events in living cells. (from: http://www.bio.umass.edu/micro/immunology/facs542/facswhat.htm) instruments_0_instrument_external_identifier=https://vocab.nerc.ac.uk/collection/L05/current/LAB37/ instruments_0_instrument_name=Flow Cytometer instruments_0_instrument_nid=660 instruments_0_supplied_name=Millipore Guava 5HT HPL benchtop flow cytometer instruments_1_dataset_instrument_description=Used for sampling instruments_1_dataset_instrument_nid=745485 instruments_1_description=A pump is a device that moves fluids (liquids or gases), or sometimes slurries, by mechanical action. Pumps can be classified into three major groups according to the method they use to move the fluid: direct lift, displacement, and gravity pumps instruments_1_instrument_name=Pump instruments_1_instrument_nid=726 instruments_1_supplied_name=Masterflex I/P peristaltic pump instruments_2_dataset_instrument_description=YSI 556 MPS handheld meter, calibrated with salinity and pH standards immediately prior to use instruments_2_dataset_instrument_nid=745486 instruments_2_description=An analytical instrument that can measure multiple parameters, such as pH, EC, TDS, DO and temperature with one device and is portable or hand-held. instruments_2_instrument_name=Multi Parameter Portable Meter instruments_2_instrument_nid=489457 instruments_2_supplied_name=YSI 556 MPS handheld meter keywords_vocabulary=GCMD Science Keywords metadata_source=https://www.bco-dmo.org/api/dataset/745449 Northernmost_Northing=29.867989 param_mapping={'745449': {'Lat': 'flag - latitude', 'Lon': 'flag - longitude', 'ISO_DateTime_UTC': 'flag - time'}} parameter_source=https://www.bco-dmo.org/mapserver/dataset/745449/parameters people_0_affiliation=University of Southern California people_0_affiliation_acronym=USC people_0_person_name=J. Cameron Thrash people_0_person_nid=707009 people_0_role=Principal Investigator people_0_role_type=originator people_1_affiliation=Woods Hole Oceanographic Institution people_1_affiliation_acronym=WHOI people_1_person_name=Elizabeth Kujawinski people_1_person_nid=51089 people_1_role=Co-Principal Investigator people_1_role_type=originator people_2_affiliation=University of Southern California people_2_affiliation_acronym=USC people_2_person_name=J. Cameron Thrash people_2_person_nid=707009 people_2_role=Contact people_2_role_type=related people_3_affiliation=Woods Hole Oceanographic Institution people_3_affiliation_acronym=WHOI BCO-DMO people_3_person_name=Shannon Rauch people_3_person_nid=51498 people_3_role=BCO-DMO Data Manager people_3_role_type=related project=CoastalSAR11 projects_0_acronym=CoastalSAR11 projects_0_description=NSF award abstract: Adaptation to new environments is a fundamental challenge for organisms, including microbes, in expanding their habitat range. It is important to investigate the cellular mechanisms underlying salinity tolerance in coastal bacterioplankton and their different responses to salinity in nature because (i) it will provide fundamental understanding for how microorganisms evolve to inhabit environments with different salinities, and (ii) alterations in coastal salinity are connected to climate change, so the way these alterations affect abundant coastal microorganisms also alters the biogeochemical cycling of, e.g., carbon. The project will examine microbial adaptations to salinity and determine how changes in salinity affect microbial metabolism using two closely related groups of abundant coastal bacterioplankton as model taxa. In addition, the research will continue and expand microbiology Course-based Undergraduate Research Experiences (mCUREs) in high-throughput cultivation and microbial characterization at the Lousiana State University. Sections of freshman biology laboratories will learn how to isolate, characterize, and molecularly identify microorganisms from local aquatic systems. mCURE sections will lead to newly isolated strains, genome sequences, and physiological data, these results will be published with the contributing students as co-authors. The relative success of mCURE sections will be assessed compared to traditional freshman biology sections. mCURE sections will offer unique opportunities for LSU students by creating excitement about research through discovery of new organisms and generating knowledge of the coastal habitats that are essential to the livelihood of the Gulf Coast. The evolutionary transition between salt- and freshwater environments occurs rarely in microorganisms. In one of the most abundant aquatic groups, SAR11, the transition between salt- and freshwater environments has happened only once: all freshwater SAR11 belong to subclade IIIb/LD12, which has also been found to inhabit coastal environments where salinity varies widely. The first reported isolates of the SAR11 freshwater clade LD12 and a member of the sister clade IIIa from the same region are now available. These pure culture representatives provide a powerful model for experimentally investigating adaptations to new environments in microorganisms, specifically (i) the genomic pathway and regulatory distinctions that arise during the evolutionary transition from marine to freshwater environments, and (ii) the physiological mechanisms that underlie the ecological restrictions imposed on microorganisms by ionic strength in coastal and freshwater environments. Furthermore, because these organisms have distinct differences in metabolic potential, the isolates facilitate testing (iii) the effects of changing coastal salinity on microbial contributions to other biogeochemical cycles, such as that for carbon. The project will test the hypothesis that the relative ionic strength tolerances between the sister lineages (LD12, IIIa) result from fundamental differences in metabolic flexibility at a genomic and regulatory level. To do so it will assess transcriptional and metabolic responses to varied ionic strength for both taxa and measure the distribution and activity of both groups in nature to translate laboratory findings to the field. The research will provide new understanding of LD12 habitat range and insights into how the "freshwater" lineage evolved from a SAR11 common ancestor. The project will also more generally provide important information on microbial responses to salinity changes in coastal systems and the evolutionary paths separating freshwater and marine microorganisms. This award is co-funded by Biological Oceanography, Division of Ocean Sciences in the Directorate for Geosciences and by Systems and Synthetic Biology, Division of Molecular and Cellular Biosciences in the Directorate for Biological Sciences. projects_0_end_date=2020-12 projects_0_geolocation=Coastal Louisiana, northern Gulf of Mexico projects_0_name=Collaborative Research: EAGER: Salinity-based selection between sister clades of abundant coastal

Date, time, location, and depth range for MOCNESS tows access_formats=.htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt acquisition_description=See Wishner et al. 2013, 2018, and 2019 (online preprint in review) for details and results.\u00a0 Sampling for zooplankton occurred on the upcast portion of the tow.\u00a0 Samples were preserved in borate-buffered formaldehyde at sea.\u00a0 Zooplankton, especially copepods, were sorted and identified microscopically later in the lab.\u00a0\u00a0 awards_0_award_nid=734063 awards_0_award_number=OCE-0526502 awards_0_data_url=https://www.nsf.gov/awardsearch/showAward?AWD_ID=0526502 awards_0_funder_name=NSF Division of Ocean Sciences awards_0_funding_acronym=NSF OCE awards_0_funding_source_nid=355 awards_0_program_manager=David L. Garrison awards_0_program_manager_nid=50534 cdm_data_type=Other comment=Date, time, location, and depth range for MOCNESS tows from 2007-10-25 to 2016-05-02 PI: Karen Wishner Version: 2020-01-07 Conventions=COARDS, CF-1.6, ACDD-1.3 data_source=extract_data_as_tsv version 2.3 19 Dec 2019 defaultDataQuery=&time<now doi=10.1575/1912/bco-dmo.786098.1 Easternmost_Easting=-90.001 geospatial_lat_max=13.177 geospatial_lat_min=8.964 geospatial_lat_units=degrees_north geospatial_lon_max=-90.001 geospatial_lon_min=-105.296 geospatial_lon_units=degrees_east geospatial_vertical_max=1200.0 geospatial_vertical_min=100.0 geospatial_vertical_positive=down geospatial_vertical_units=m infoUrl=https://www.bco-dmo.org/dataset/786098 institution=BCO-DMO instruments_0_acronym=MOCNESS instruments_0_dataset_instrument_description=1 m2 MOCNESS instruments_0_dataset_instrument_nid=786122 instruments_0_description=The Multiple Opening/Closing Net and Environmental Sensing System or MOCNESS is a family of net systems based on the Tucker Trawl principle. There are currently 8 different sizes of MOCNESS in existence which are designed for capture of different size ranges of zooplankton and micro-nekton Each system is designated according to the size of the net mouth opening and in two cases, the number of nets it carries. The original MOCNESS (Wiebe et al, 1976) was a redesigned and improved version of a system described by Frost and McCrone (1974).(from MOCNESS manual) This designation is used when the specific type of MOCNESS (number and size of nets) was not specified by the contributing investigator. instruments_0_instrument_external_identifier=https://vocab.nerc.ac.uk/collection/L22/current/NETT0097/ instruments_0_instrument_name=MOCNESS instruments_0_instrument_nid=511 instruments_0_supplied_name=MOCNESS metadata_source=https://www.bco-dmo.org/api/dataset/786098 Northernmost_Northing=13.177 param_mapping={'786098': {'Lat_In': 'flag - latitude', 'Lon_In': 'flag - longitude', 'ISO_DateTime_UTC': 'flag - time', 'Max_Depth': 'master - depth'}} parameter_source=https://www.bco-dmo.org/mapserver/dataset/786098/parameters people_0_affiliation=University of Rhode Island people_0_affiliation_acronym=URI-GSO people_0_person_name=Karen Wishner people_0_person_nid=50455 people_0_role=Principal Investigator people_0_role_type=originator people_1_affiliation=University of South Florida people_1_affiliation_acronym=USF people_1_person_name=Brad Seibel people_1_person_nid=51075 people_1_role=Co-Principal Investigator people_1_role_type=originator people_2_affiliation=Woods Hole Oceanographic Institution people_2_affiliation_acronym=WHOI BCO-DMO people_2_person_name=Mathew Biddle people_2_person_nid=708682 people_2_role=BCO-DMO Data Manager people_2_role_type=related project=ETP projects_0_acronym=ETP projects_0_description=This project aims to characterize the spatial and interannual variability of physical, chemical, and biological properties between low productivity and high productivity regions of the eastern tropical Pacific. In particular, we will investigate the physiology of bacteria, phytoplankton, and zooplankton and food web interactions in relation to the oxygen minimum zone. Our results also will provide information on how marine carbon and nitrogen cycles are modified in suboxic regions of the ocean. Measurements include: ADCP, temperature, salinity, O2, pH, total DIC, fCO2, nutrients, CDOM, POC/N, methane oxidation rates, denitrification rates, chlorophyll, phytoplankton C&N uptake rates, bacteria abundance/growth rates/molecular fingerprinting, lipid biomarkers, microzooplankton grazing rates, mesozooplankton abundance, distribution, and physiology, and particle flux rates. NSF abstract: The CARIACO (CArbon Retention In A Colored Ocean) Program is a time-series programs, with the central goal to better understand seasonal to decadal time-scales of processes governing ocean biogeochemistry. The CARIACO site is situated in the tropics on a productive continental margin off Venezuela, the basin is anoxic, and the site is strongly connected to paleoclimate investigations. Thus, CARIACO has the additional goal of relating modern oceanographic processes with the production, transformation, and preservation of particulate matter in the sediment record. Zooplankton composition, behavior, and physiological rates are important components of the biological pump. Recent findings from the Cariaco Basin and other regions with pelagic redoxclines (suboxic and anoxic interfaces) suggest that they are active regions of biogeochemical cycling, in which C may be directly transferred from bacterial production to zooplankton grazers. The goals of this project are to determine the vertical and horizontal distributions of zooplankton in relation to the redoxcline during two seasons using discrete-depth net samples and a vertical-profiling laser-line scan camera system. Anaerobic and aerobic respiration and metabolites, excretion, and egestion rates will be experimentally determined for vertical migrators and resident species nearsurface and at suboxic and anoxic depths to determine whether zooplankton differ in their release of metabolic and egested products, due to differences in their metabolism and/or composition of food resources. Grazing experiments, in combination with lipid biomarkers and stable isotopic compositions, will be used to assess in situ diet and long-term feeding history of zooplankton. Fecal pellet composition will be compared with pellets in sediment traps. Time-series zooplankton samples also will be analyzed to obtain temporal information on zooplankton community dynamics and allow a seasonal estimate of the zooplankton contribution to elemental fluxes. Intellectual Merit. One of the grand challenges of oceanography is to understand the processes that control the transformation and fate of organic carbon in marine systems. Meeting this challenge is hindered by a lack of basic information about factors that govern the response of biological activity to environmental forcing and climate change. In particular, the role of the marine biosphere in the global carbon cycle remains poorly constrained, in part due to uncertainties about biological controls on the quality and quantity of carbon export. This project will contribute to our knowledge of the role of mesozooplankton in biogeochemical cycles, especially in relation to how processes may be modified in regions with anoxic or suboxic layers and strong redox gradients, and will help to correctly understand the links between water column processes and climate history as recorded in the varved sediments of the Cariaco Basin. Broader Impacts. The zooplankton time-series will provide information on patterns of marine biodiversity and ecological interactions from a poorly known region. The CARIACO Program has an ongoing impact in technology transfer and human resource development in Venezuela. This project will help train personnel in Venezuela and will support several graduate students. The lead investigators and students will develop materials on the project for dissemination through the NSF-Center for Ocean Science Education Excellence (COSEE) located at USF. Note [2019-12-17]: BCO-DMO Project page updated to reflect information at nfs.gov for this collaborative award. * Project tile changed from "Eastern Tropical Pacific" to the NSF award title "Collaborative Research: Zooplankton in the Redoxcline of the Cariaco Basin: Impact on Biogeochemical Cycling." * The other award number in this collaborative award added to the page OCE-0526502 * Person roles on the page updated to reflect the NSF award roles (PI or Co-PI) all others on the page changed to "Scientist" from "Co-PI" if not listed as a Co-PI on the NSF award. projects_0_end_date=2011-07 projects_0_geolocation=Eastern tropical Pacific projects_0_name=Collaborative Research: Zooplankton in the Redoxcline of the Cariaco Basin: Impact on Biogeochemical Cycling projects_0_project_nid=2071 projects_0_start_date=2006-08 sourceUrl=(local files) Southernmost_Northing=8.964 standard_name_vocabulary=CF Standard Name Table v55 time_coverage_end=2009-01-01T06:31:00Z time_coverage_start=2007-10-25T17:42:00Z version=1 Westernmost_Easting=-105.296 xml_source=osprey2erddap.update_xml() v1.3

Recorded critical swimming speed of larval Amphiprion percula, Elacatinus lori, and Elacatinus colini measured throughout development from hatching through settlement. access_formats=.htmlTable,.csv,.json,.mat,.nc,.tsv acquisition_description=To determine the effect of fish age on the swimming speed of larvae from hatching through the onset of settlement, we evaluated the swimming speed (Ucrit) of A. percula larvae at 0, 4, and 8 dph (day post hatch), and of E. lori and E. colini at 0, 10, 20, and 30 dph . At the start of each trial, an individual larva was acclimated to the flume for 2 min with water flowing at a velocity of < 1 cm s-1. If the larva displayed normal orientation and swimming behavior during acclimation, then the velocity was increased 2 cm s-1 every 2 minutes until the larva could no longer maintain position and was either expelled from the flume or collected on the back mesh. Following trials, recollected larvae or siblings from the same clutch were photographed using a dissection microscope, and photos were measured for standard length using ImageJ (NIH, USA; Table 2). A larva\u2019s maximum swimming speed (Ucrit) was then calculated following the equation from Brett (1964). awards_0_award_nid=651264 awards_0_award_number=OCE-1459546 awards_0_data_url=http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1459546 awards_0_funder_name=NSF Division of Ocean Sciences awards_0_funding_acronym=NSF OCE awards_0_funding_source_nid=355 awards_0_program_manager=Michael E. Sieracki awards_0_program_manager_nid=50446 cdm_data_type=Other comment=Critical Swimming Speed P. Buston and J. Majoris, PIs Version 22 June 2018 Conventions=COARDS, CF-1.6, ACDD-1.3 data_source=extract_data_as_tsv version 2.3 19 Dec 2019 defaultDataQuery=&time<now doi=10.1575/1912/bco-dmo.739149.1 infoUrl=https://www.bco-dmo.org/dataset/739149 institution=BCO-DMO instruments_0_dataset_instrument_description=Used to analyze fish swimming behavior instruments_0_dataset_instrument_nid=739158 instruments_0_description=A tool used to analyze and quantify fish swimming behavior, physiology, and performance. instruments_0_instrument_name=Swimming Flume instruments_0_instrument_nid=739157 instruments_0_supplied_name=Custom designed swimming flume metadata_source=https://www.bco-dmo.org/api/dataset/739149 param_mapping={'739149': {}} parameter_source=https://www.bco-dmo.org/mapserver/dataset/739149/parameters people_0_affiliation=Boston University people_0_affiliation_acronym=BU people_0_person_name=Dr Peter Buston people_0_person_nid=544437 people_0_role=Principal Investigator people_0_role_type=originator people_1_affiliation=Boston University people_1_affiliation_acronym=BU people_1_person_name=Dr John Majoris people_1_person_nid=728439 people_1_role=Co-Principal Investigator people_1_role_type=originator people_2_affiliation=Boston University people_2_affiliation_acronym=BU people_2_person_name=Dr John Majoris people_2_person_nid=728439 people_2_role=Contact people_2_role_type=related people_3_affiliation=Woods Hole Oceanographic Institution people_3_affiliation_acronym=WHOI BCO-DMO people_3_person_name=Hannah Ake people_3_person_nid=650173 people_3_role=BCO-DMO Data Manager people_3_role_type=related project=Elacatinus Dispersal II projects_0_acronym=Elacatinus Dispersal II projects_0_description=Description from NSF award abstract: Understanding how far young fish move away from their parents is a major goal of marine ecology because this dispersal can make connections between distinct populations and thus influence population size and dynamics. Understanding the drivers of population dynamics is, in turn, essential for effective fisheries management. Marine ecologists have used two different approaches to understand how fish populations are connected: genetic methods that measure connectivity and oceanographic models that predict connectivity. There is, however, a mismatch between the predictions of oceanographic models and the observations of genetic methods. It is thought that this mismatch is caused by the behavior of the young, or larval, fish. The objective of this research is to study the orientation capabilities of larval fish in the wild throughout development and under a variety of environmental conditions to see if the gap between observations and predictions of population connectivity can be resolved. The project will have broader impacts in three key areas: integration of research and teaching by training young scientists at multiple levels; broadening participation of undergraduates from underrepresented groups; and wide dissemination of results through development of a website with information and resources in English and Spanish. The overall objective of the research is to investigate the role of larval orientation behavior throughout ontogeny in determining population connectivity. This will be done using the neon goby, Elacatinus lori, as a model system in Belize. The choice of study system is motivated by the fact that direct genetic methods have already been used to describe the complete dispersal kernel for this species, and these observations indicate that dispersal is less extensive than predicted by a high-resolution biophysical model; E. lori can be reared in the lab from hatching to settlement providing a reliable source of larvae of all ages for proposed experiments; and a new, proven behavioral observation platform, the Drifting In Situ Chamber (DISC), allows measurements of larval orientation behavior in open water. The project has three specific objectives: to understand ontogenetic changes in larval orientation capabilities by correlating larval orientation behavior with developmental sensory anatomy; to analyze variation in the precision of larval orientation in different environmental contexts through ontogeny; and to test alternative hypotheses for the goal of larval orientation behavior, i.e., to determine where larvae are heading as they develop. projects_0_end_date=2018-04 projects_0_geolocation=Belizean Barrier Reef System projects_0_name=Collaborative Research: The Role of Larval Orientation Behavior in Determining Population Connectivity projects_0_project_nid=651265 projects_0_start_date=2015-05 sourceUrl=(local files) standard_name_vocabulary=CF Standard Name Table v55 version=1 xml_source=osprey2erddap.update_xml() v1.3

Atmospheric input is important to the biogeochemical cycling of trace metals in the ocean. The fraction of aerosol trace metals that can potentially dissolve after deposition is of interest for improving knowledge of aerosol/surface ocean interactions. This dataset provides acetic acid leachable trace metal values from bulk aerosol from the Equatorial Pacific along the US GEOTRACES EPTZ transect (TN303) from Peru to Tahiti. This region is characterized as one of the lowest atmospheric deposition regimes in the ocean. Bulk aerosols were collected from the boundary layer (~15 m above sea level) using a high-volume aerosol sampler drawing approximately 1.2 cubic meters of air per minute over Whatman 41 ash-less filter discs. Despite low aerosol loadings, triplicate agreement for most samples was good for Al, Ti, V, Mn, Fe, and Cu. Away from the coast, Cd and Pb values in most samples were close to, or below detection limit. Acetic acid leaches were carried out with a combination of 25% acetic acid and a reducing agent. Leachable trace metal concentrations were determined at the University of Alaska Fairbanks by inductively coupled plasma mass spectrometry (Thermo Element-2) using external calibration curves. The aerosol trace metal fractional solubility was calculated as a percent of the total bulk aerosol data from the same cruise (https://www.bco-dmo.org/dataset/675632). access_formats=.htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt acquisition_description=Samples were collected using Florida State University's high vol aerosol sampler (Tisch Environmental TSP TE5170V), located on the 03 deck, forward railings. Samples were collected at the rate of 1 cubic meter per minute on Whatman 41, 47 mm discs (cellulose esters; W41) and were acid cleaned. Methods are described in Morton et al. (2013). awards_0_award_nid=664915 awards_0_award_number=OCE-1234417 awards_0_data_url=http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1234417 awards_0_funder_name=NSF Division of Ocean Sciences awards_0_funding_acronym=NSF OCE awards_0_funding_source_nid=355 awards_0_program_manager=Henrietta N Edmonds awards_0_program_manager_nid=51517 awards_1_award_nid=664924 awards_1_award_number=OCE-1454368 awards_1_data_url=https://www.nsf.gov/awardsearch/showAward?AWD_ID=1454368 awards_1_funder_name=NSF Division of Ocean Sciences awards_1_funding_acronym=NSF OCE awards_1_funding_source_nid=355 awards_1_program_manager=Henrietta N Edmonds awards_1_program_manager_nid=51517 cdm_data_type=Other comment=Acetic Acid leachable trace metals from aerosols GEOTRACES EPZT PI: Ana Aguilar-Islas (University of Alaska Fairbanks) Co-PIs: Clifton Buck (Skidaway Institute of Oceanography) & William Landing (Florida State University) Contact: Ana Aguilar-Islas Version History:
26 May 2020 (current version) - replaced entire dataset using GEOTRACES DOoR format. 19 Jul 2017 - original version Conventions=COARDS, CF-1.6, ACDD-1.3 data_source=extract_data_as_tsv version 2.3 19 Dec 2019 defaultDataQuery=&time<now doi=10.26008/1912/bco-dmo.709276.2 Easternmost_Easting=-77.657 geospatial_lat_max=-4.07 geospatial_lat_min=-16.0 geospatial_lat_units=degrees_north geospatial_lon_max=-77.657 geospatial_lon_min=-142.95 geospatial_lon_units=degrees_east geospatial_vertical_positive=down geospatial_vertical_units=m infoUrl=https://www.bco-dmo.org/dataset/709276 institution=BCO-DMO instruments_0_acronym=Aerosol_Sampler instruments_0_dataset_instrument_nid=709335 instruments_0_description=A device that collects a sample of aerosol (dry particles or liquid droplets) from the atmosphere. instruments_0_instrument_external_identifier=https://vocab.nerc.ac.uk/collection/L05/current/13/ instruments_0_instrument_name=Aerosol Sampler instruments_0_instrument_nid=691 instruments_0_supplied_name=Tisch Environmental TSP TE5170V metadata_source=https://www.bco-dmo.org/api/dataset/709276 Northernmost_Northing=-4.07 param_mapping={'709276': {'Start_ISO_DateTime_UTC': 'flag - time', 'Sample_Depth': 'master - depth', 'Start_Longitude': 'flag - longitude', 'Start_Latitude': 'flag - latitude'}} parameter_source=https://www.bco-dmo.org/mapserver/dataset/709276/parameters people_0_affiliation=University of Alaska Fairbanks people_0_affiliation_acronym=UAF people_0_person_name=Ana Aguilar-Islas people_0_person_nid=664918 people_0_role=Principal Investigator people_0_role_type=originator people_1_affiliation=Skidaway Institute of Oceanography people_1_affiliation_acronym=SkIO people_1_person_name=Clifton S. Buck people_1_person_nid=51301 people_1_role=Co-Principal Investigator people_1_role_type=originator people_2_affiliation=Florida State University people_2_affiliation_acronym=FSU - EOAS people_2_person_name=William M. Landing people_2_person_nid=51302 people_2_role=Co-Principal Investigator people_2_role_type=originator people_3_affiliation=University of Alaska Fairbanks people_3_affiliation_acronym=UAF people_3_person_name=Ana Aguilar-Islas people_3_person_nid=664918 people_3_role=Contact people_3_role_type=related people_4_affiliation=Woods Hole Oceanographic Institution people_4_affiliation_acronym=WHOI BCO-DMO people_4_person_name=Shannon Rauch people_4_person_nid=51498 people_4_role=BCO-DMO Data Manager people_4_role_type=related project=U.S. GEOTRACES EPZT,EPZT Aerosol Collection projects_0_acronym=U.S. GEOTRACES EPZT projects_0_description=From the NSF Award Abstract The mission of the International GEOTRACES Program (www.geotraces.org), of which the U.S. chemical oceanography research community is a founding member, is "to identify processes and quantify fluxes that control the distributions of key trace elements and isotopes in the ocean, and to establish the sensitivity of these distributions to changing environmental conditions" (GEOTRACES Science Plan, 2006). In the United States, ocean chemists are currently in the process of organizing a zonal transect in the eastern tropical South Pacific (ETSP) from Peru to Tahiti as the second cruise of the U.S.GEOTRACES Program. This Pacific section includes a large area characterized by high rates of primary production and particle export in the eastern boundary associated with the Peru Upwelling, a large oxygen minimum zone that is a major global sink for fixed nitrogen, and a large hydrothermal plume arising from the East Pacific Rise. This particular section was selected as a result of open planning workshops in 2007 and 2008, with a final recommendation made by the U.S.GEOTRACES Steering Committee in 2009. It is the first part of a two-stage plan that will include a meridional section of the Pacific from Tahiti to Alaska as a subsequent expedition. This award provides funding for management of the U.S.GEOTRACES Pacific campaign to a team of scientists from the University of Southern California, Old Dominion University, and the Woods Hole Oceanographic Institution. The three co-leaders will provide mission leadership, essential support services, and management structure for acquiring the trace elements and isotopes samples listed as core parameters in the International GEOTRACES Science Plan, plus hydrographic and nutrient data needed by participating investigators. With this support from NSF, the management team will (1) plan and coordinate the 52-day Pacific research cruise described above; (2) obtain representative samples for a wide variety of trace metals of interest using conventional CTD/rosette and GEOTRACES Sampling Systems; (3) acquire conventional JGOFS/WOCE-quality hydrographic data (CTD, transmissometer, fluorometer, oxygen sensor, etc) along with discrete samples for salinity, dissolved oxygen (to 1 uM detection limits), plant pigments, redox tracers such as ammonium and nitrite, and dissolved nutrients at micro- and nanomolar levels; (4) ensure that proper QA/QC protocols are followed and reported, as well as fulfilling all GEOTRACES Intercalibration protocols; (5) prepare and deliver all hydrographic-type data to the GEOTRACES Data Center (and US data centers); and (6) coordinate cruise communications between all participating investigators, including preparation of a hydrographic report/publication. Broader Impacts: The project is part of an international collaborative program that has forged strong partnerships in the intercalibration and implementation phases that are unprecedented in chemical oceanography. The science product of these collective missions will enhance our ability to understand how to interpret the chemical composition of the ocean, and interpret how climate change will affect ocean chemistry. Partnerships include contributions to the infrastructure of developing nations with overlapping interests in the study area, in this case Peru. There is a strong educational component to the program, with many Ph.D. students carrying out thesis research within the program. Figure 1. The 2013 GEOTRACES EPZT Cruise Track. [click on the image to view a larger version] projects_0_end_date=2015-06 projects_0_geolocation=Eastern Tropical Pacific - Transect from Peru to Tahiti projects_0_name=U.S. GEOTRACES East Pacific Zonal Transect projects_0_project_nid=499723 projects_0_project_website=https://www.geotraces.org/ projects_0_start_date=2012-06 projects_1_acronym=EPZT Aerosol Collection projects_1_description=During the 2013 GEOTRACES Eastern Pacific zonal transect, a gradient in aerosol inputs to surface waters will be encountered with higher inputs near Peru and decreasing offshore. This zonal section contrasts sharply to the high aerosol deposition areas found and sampled during the GEOTRACES North Atlantic Zonal Section in the fall of 2010 and 2011. As such, this Pacific section represents a unique opportunity to characterize aerosol and rainfall chemistry in a low deposition environment. Scientists from the University of Alaska and Florida State University plan to collect and characterize aerosol and rainfall samples along this transect, as well as distribute

Coastal ecosystems experience substantial natural fluctuations in pCO2 and dissolved oxygen (DO) conditions on diel, tidal, seasonal and interannual timescales. Rising carbon dioxide emissions and anthropogenic nutrient input are expected to increase these pCO2 and DO cycles in severity and duration of acidification and hypoxia. How coastal marine organisms respond to natural pCO2 \u00d7 DO variability and future climate change remains largely unknown. Here, we assess the impact of static and cycling pCO2 \u00d7 DO conditions of various magnitudes and frequencies on early life survival and growth of an important coastal forage fish, Menidia menidia. Static low DO conditions severely decreased embryo survival, larval survival, time to 50% hatch, size at hatch and post-larval growth rates. Static elevated pCO2 did not affect most response traits, however, a synergistic negative effect did occur on embryo survival under hypoxic conditions (3.0 mg L-1). Cycling pCO2 \u00d7 DO, however, reduced these negative effects of static conditions on all response traits with the magnitude of fluctuations influencing the extent of this reduction. This indicates that fluctuations in pCO2 and DO may benefit coastal organisms by providing periodic physiological refuge from stressful conditions, which could promote species adaptability to climate change. access_formats=.htmlTable,.csv,.json,.mat,.nc,.tsv acquisition_description=Wild adults were collected using a 30 x 2 m beach seine and strip-spawned in the laboratory the following day. 100 embryos were then placed in each replicate across 9 recirculating systems of different pCO2 x DO conditions (control, intermediate, extreme) and cycling patterns (static, small diel fluctuation, large diel fluctuation and tidal fluctuation).

pCO2 x DO conditions were measured every hour for each tank and adjusted to the pre-determined conditions via the injection of carbon dioxide, nitrogen gas and/or CO2-stripped air.\u00a0LabView software (National Instruments) was used to control sampling pumps and gas and water solenoids.

Seawater samples of each tank were collected three times throughout each experiment and stored in 4\u00b0C for subsequent alkalinity measurements up to two weeks after the experiment finished. For more details please see Cross et al. (submitted). awards_0_award_nid=650191 awards_0_award_number=OCE-1536165 awards_0_data_url=http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1536165 awards_0_funder_name=NSF Division of Ocean Sciences awards_0_funding_acronym=NSF OCE awards_0_funding_source_nid=355 awards_0_program_manager=Michael E. Sieracki awards_0_program_manager_nid=50446 cdm_data_type=Other comment=Carbonate chemistry data
from static and fluctuating pCO2 x dissolved oxygen (DO) experiments on Menidia menidia PI: Hannes Baumann (UConn) Co-PI: Emma Cross (UConn) Version date: 20-Sept-2019 Conventions=COARDS, CF-1.6, ACDD-1.3 data_source=extract_data_as_tsv version 2.3 19 Dec 2019 defaultDataQuery=&time<now doi=10.1575/1912/bco-dmo.777144.1 infoUrl=https://www.bco-dmo.org/dataset/777144 institution=BCO-DMO instruments_0_acronym=Water Temp Sensor instruments_0_dataset_instrument_description=Temperature - Aqualogic thermostats connected to submersible heaters and chillers (Deltastar) instruments_0_dataset_instrument_nid=777152 instruments_0_description=General term for an instrument that measures the temperature of the water with which it is in contact (thermometer). instruments_0_instrument_external_identifier=https://vocab.nerc.ac.uk/collection/L05/current/134/ instruments_0_instrument_name=Water Temperature Sensor instruments_0_instrument_nid=647 instruments_0_supplied_name=Aqualogic Deltastar instruments_1_acronym=pH Sensor instruments_1_dataset_instrument_description=pHNIST - Hach pHD digital electrode - calibrated twice weekly using NIST 2-point pH buffers instruments_1_dataset_instrument_nid=777150 instruments_1_description=General term for an instrument that measures the pH or how acidic or basic a solution is. instruments_1_instrument_name=pH Sensor instruments_1_instrument_nid=674 instruments_1_supplied_name=Hach pHD digital electrode instruments_2_acronym=Automatic titrator instruments_2_dataset_instrument_description=Alkalinity – Metler Toledo G20 Potentiometric Titrator calibrated with certified reference material from Dr. Andrew Dickson, University of California San Diego instruments_2_dataset_instrument_nid=777153 instruments_2_description=Instruments that incrementally add quantified aliquots of a reagent to a sample until the end-point of a chemical reaction is reached. instruments_2_instrument_external_identifier=https://vocab.nerc.ac.uk/collection/L05/current/LAB12/ instruments_2_instrument_name=Automatic titrator instruments_2_instrument_nid=682 instruments_2_supplied_name=Metler Toledo G20 Potentiometric Titrator instruments_3_acronym=Dissolved Oxygen Sensor instruments_3_dataset_instrument_description=Dissolved oxygen (DO) – Optical DO probe (Hach LDO Model 2) instruments_3_dataset_instrument_nid=777151 instruments_3_description=An electronic device that measures the proportion of oxygen (O2) in the gas or liquid being analyzed instruments_3_instrument_name=Dissolved Oxygen Sensor instruments_3_instrument_nid=705 instruments_3_supplied_name=Hach LDO Model 2 keywords_vocabulary=GCMD Science Keywords metadata_source=https://www.bco-dmo.org/api/dataset/777144 param_mapping={'777144': {}} parameter_source=https://www.bco-dmo.org/mapserver/dataset/777144/parameters people_0_affiliation=University of Connecticut people_0_affiliation_acronym=UConn people_0_person_name=Hannes Baumann people_0_person_nid=528586 people_0_role=Principal Investigator people_0_role_type=originator people_1_affiliation=University of Connecticut people_1_affiliation_acronym=UConn people_1_person_name=Emma L. Cross people_1_person_nid=777121 people_1_role=Co-Principal Investigator people_1_role_type=originator people_2_affiliation=University of Connecticut people_2_affiliation_acronym=UConn people_2_person_name=Christopher S. Murray people_2_person_nid=742121 people_2_role=Co-Principal Investigator people_2_role_type=originator people_3_affiliation=University of Connecticut people_3_affiliation_acronym=UConn people_3_person_name=Emma L. Cross people_3_person_nid=777121 people_3_role=Contact people_3_role_type=related people_4_affiliation=Woods Hole Oceanographic Institution people_4_affiliation_acronym=WHOI BCO-DMO people_4_person_name=Shannon Rauch people_4_person_nid=51498 people_4_role=BCO-DMO Data Manager people_4_role_type=related project=HYPOA projects_0_acronym=HYPOA projects_0_description=Description from NSF award abstract: Coastal marine ecosystems provide a number of important services and resources for humans, and at the same time, coastal waters are subject to environmental stressors such as increases in ocean acidification and reductions in dissolved oxygen. The effects of these stressors on coastal marine organisms remain poorly understood because most research to date has examined the sensitivity of species to one factor, but not to more than one in combination. This project will determine how a model fish species, the Atlantic silverside, will respond to observed and predicted levels of dissolved carbon dioxide (CO2) and oxygen (O2). Shorter-term experiments will measure embryo and larval survival, growth, and metabolism, and determine whether parents experiencing stressful conditions produce more robust offspring. Longer-term experiments will study the consequences of ocean acidification over the entire life span by quantifying the effects of high-CO2 conditions on the ratio of males to females, lifetime growth, and reproductive investment. These studies will provide a more comprehensive view of how multiple stressors may impact populations of Atlantic silversides and potentially other important forage fish species. This collaborative project will support and train three graduate students at the University of Connecticut and the Stony Brook University (NY), two institutions that attract students from minority groups. It will also provide a variety of opportunities for undergraduates to participate in research and the public to learn about the study, through summer research projects, incorporation in the "Women in Science and Engineering" program, and interactive displays of environmental data from monitoring buoys. The two early-career investigators are committed to increasing ocean literacy and awareness of NSF-funded research through public talks and presentations. This project responds to the recognized need for multi-stressor assessments of species sensitivities to anthropogenic environmental change. It will combine environmental monitoring with advanced experimental approaches to characterize early and whole life consequences of acidification and hypoxia in the Atlantic silverside (Menidia menidia), a valued model species and important forage fish along most of the US east coast. Experiments will employ a newly constructed, computer-controlled fish rearing system to allow independent and combined manipulation of seawater pCO2 and dissolved oxygen (DO) content and the application of static and fluctuating pCO2 and DO levels that were chosen to represent contemporary and potential future scenarios in productive coastal habitats. First CO2, DO, and CO2 × DO dependent reaction norms will be quantified for fitness-relevant early life history (ELH) traits including pre- and post-hatch survival, time to hatch, post-hatch growth, by rearing offspring collected from wild adults from fertilization to 20 days post hatch (dph) using a full factorial design of 3 CO2 × 3 DO levels. Second, the effects of tidal and diel CO2 × DO fluctuations of different amplitudes on silverside ELH traits will be quantified. To address knowledge gaps regarding the CO2-sensitivity in this species, laboratory manipulations of adult spawner environments and

This dataset includes water column phosphate data from RV/Atlantic Explorer AE1812, May 2018. access_formats=.htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt acquisition_description=MAGIC Soluble reactive phosphorus (SRP) concentrations.\u00a0 SRP (i.e. phosphate) was determined in seawater samples (done in triplicate) and incubations using MAGnesium Induced Coprecipitation (MAGIC) as described by Karl and Tien (1992).\u00a0

Total particulate phosphorus (TTP) concentrations. TPP was determined in seawater samples using a wet chemical oxidation method using potassium persulfate as described in Suzumura (2008). Briefly, 1 to 2 liters of seawater were filtered onto 47 mm 0.2 \u00b5m pore size polyvinylidene fluoride membranes (Millipore) and frozen (-80\u00b0C) until analysis. One fourth of these filters were cut with clean stainless-steel scissors and placed in 8 mL glass vials for oxidation. 2 mL of 5% (0.19 M) persulfate was added to each vial and the samples were then autoclaved for 30 minutes at 120\u00b0C. To remove any residual material, the samples were filtered through 0.45 \u00b5m syringe filters (Millipore Millex-HV). The persulfate was shown to inhibit color development when greater than 2%, therefore, the samples were diluted to 0.5% (0.019 M). As with the SRP samples, the TPP samples were analyzed via the molybdenum blue method using a spectrophotometer (Thermo). awards_0_award_nid=704767 awards_0_award_number=OCE-1558490 awards_0_data_url=http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1558490 awards_0_funder_name=NSF Division of Ocean Sciences awards_0_funding_acronym=NSF OCE awards_0_funding_source_nid=355 awards_0_program_manager=David L. Garrison awards_0_program_manager_nid=50534 awards_1_award_nid=704773 awards_1_award_number=OCE-1558506 awards_1_data_url=http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1558506 awards_1_funder_name=NSF Division of Ocean Sciences awards_1_funding_acronym=NSF OCE awards_1_funding_source_nid=355 awards_1_program_manager=David L. Garrison awards_1_program_manager_nid=50534 awards_2_award_nid=746564 awards_2_award_number=OCE-1536346 awards_2_data_url=http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1536346 awards_2_funder_name=NSF Division of Ocean Sciences awards_2_funding_acronym=NSF OCE awards_2_funding_source_nid=355 awards_2_program_manager=Henrietta N Edmonds awards_2_program_manager_nid=51517 cdm_data_type=Other comment=Water column phosphate data from RV/Atlantic Explorer AE1812, May 2018 PI: T. Rynearson (URI) version date: 2019-03-20 Conventions=COARDS, CF-1.6, ACDD-1.3 data_source=extract_data_as_tsv version 2.3 19 Dec 2019 defaultDataQuery=&time<now doi=10.1575/1912/bco-dmo.762824.1 Easternmost_Easting=-63.48 geospatial_lat_max=41.19 geospatial_lat_min=31.67 geospatial_lat_units=degrees_north geospatial_lon_max=-63.48 geospatial_lon_min=-70.97 geospatial_lon_units=degrees_east geospatial_vertical_max=173.0 geospatial_vertical_min=4.0 geospatial_vertical_positive=down geospatial_vertical_units=m infoUrl=https://www.bco-dmo.org/dataset/762824 institution=BCO-DMO instruments_0_acronym=Niskin bottle instruments_0_dataset_instrument_nid=762832 instruments_0_description=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. instruments_0_instrument_external_identifier=https://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/ instruments_0_instrument_name=Niskin bottle instruments_0_instrument_nid=413 instruments_1_acronym=CTD instruments_1_dataset_instrument_nid=762831 instruments_1_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 and permits scientists observe the physical properties in real time via a conducting cable connecting the CTD to a deck unit and computer on the 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 instrument designation is used when specific make and model are not known. instruments_1_instrument_external_identifier=https://vocab.nerc.ac.uk/collection/L05/current/130/ instruments_1_instrument_name=CTD profiler instruments_1_instrument_nid=417 instruments_2_acronym=Sed Trap - Part Int instruments_2_dataset_instrument_description="Based on the design of a closing plankton net capable of collecting large amounts (~1 g) of very fresh sinking particulate material in short time periods (24-36 h) to facilitate microbial decomposition experiment." (Peterson et al, 2005) instruments_2_dataset_instrument_nid=762833 instruments_2_description=A Particle Interceptor Trap is a prototype sediment trap designed in the mid 1990s to segregate 'swimmers' from sinking particulate material sampled from the water column. The prototype trap used 'segregation plates' to deflect and segregate 'swimmers' while a series of funnels collected sinking particles in a chamber (see Dennis A. Hansell and Jan A. Newton. September 1994. Design and Evaluation of a "Swimmer"-Segregating Particle Interceptor Trap, Limnology and Oceanography, Vol. 39, No. 6, pp. 1487-1495). instruments_2_instrument_external_identifier=https://vocab.nerc.ac.uk/collection/L05/current/33/ instruments_2_instrument_name=Sediment Trap - Particle Interceptor instruments_2_instrument_nid=550 instruments_2_supplied_name=free-floating NetTrap instruments_3_acronym=Spectrophotometer instruments_3_dataset_instrument_description=Used to measure total particulate phosphate concentrations instruments_3_dataset_instrument_nid=762838 instruments_3_description=An instrument used to measure the relative absorption of electromagnetic radiation of different wavelengths in the near infra-red, visible and ultraviolet wavebands by samples. instruments_3_instrument_external_identifier=https://vocab.nerc.ac.uk/collection/L05/current/LAB20/ instruments_3_instrument_name=Spectrophotometer instruments_3_instrument_nid=707 instruments_3_supplied_name=spectrophotometer (Thermo) instruments_4_dataset_instrument_nid=762834 instruments_4_description=A device mounted on a ship that holds water samples under conditions of controlled temperature or controlled temperature and illumination. instruments_4_instrument_name=Shipboard Incubator instruments_4_instrument_nid=629001 instruments_5_dataset_instrument_description=Used to collect precipitate for soluble reactive phosphorus (SRP) measurements. instruments_5_dataset_instrument_nid=762848 instruments_5_description=A machine with a rapidly rotating container that applies centrifugal force to its contents, typically to separate fluids of different densities (e.g., cream from milk) or liquids from solids. instruments_5_instrument_name=Centrifuge instruments_5_instrument_nid=629890 metadata_source=https://www.bco-dmo.org/api/dataset/762824 Northernmost_Northing=41.19 param_mapping={'762824': {'Date': 'flag - time', 'Lat': 'master - latitude', 'Depth': 'master - depth', 'Long': 'master - longitude'}} parameter_source=https://www.bco-dmo.org/mapserver/dataset/762824/parameters people_0_affiliation=Woods Hole Oceanographic Institution people_0_affiliation_acronym=WHOI people_0_person_name=Benjamin A.S. Van Mooy people_0_person_nid=50975 people_0_role=Principal Investigator people_0_role_type=originator people_1_affiliation=University of Rhode Island people_1_affiliation_acronym=URI-GSO people_1_person_name=Tatiana Rynearson people_1_person_nid=511706 people_1_role=Co-Principal Investigator people_1_role_type=originator people_2_affiliation=Woods Hole Oceanographic Institution people_2_affiliation_acronym=WHOI BCO-DMO people_2_person_name=Nancy Copley people_2_person_nid=50396 people_2_role=BCO-DMO Data Manager people_2_role_type=related project=North Atlantic Diatoms,Phosphorus Redox Cycling projects_0_acronym=North Atlantic Diatoms projects_0_description=NSF abstract: About half of photosynthesis on earth is generated by marine phytoplankton, single celled organisms that drift with tides and currents. Within the phytoplankton, the diatoms conduct nearly half of this photosynthesis, exerting profound control over global carbon cycling. Despite their importance, there are surprisingly fundamental gaps in understanding how diatoms function in their natural environment, in part because methods to assess in situ physiology are lacking. This project focuses on the application of a powerful new approach, called Quantitative Metabolic Fingerprinting (QMF), to address this knowledge gap and examine species-specific physiology in the field. The project will provide transformative insights into how ocean geochemistry controls the distribution of diatoms, the metabolic responses of individual diatom species, and how metabolic potential is partitioned between diatom species, thus providing new insights into the structure and function of marine systems. The overarching goal is to examine how diatom species respond to changes in biogeochemistry across marine provinces, from the coast to the open ocean, by following shifts in diatom physiology using QMF. This research is critical to understand future changes in oceanic phytoplankton in response to climate and environmental change. Furthermore, activities on this project will include supporting a graduate student and postdoctoral fellow and delivering the Artistic Oceanographer Program (AOP) to

Recorded swimming duration of larval Amphiprion percula, Elacatinus lori, and Elacatinus colini measured throughout development from hatching through settlement. access_formats=.htmlTable,.csv,.json,.mat,.nc,.tsv acquisition_description=To determine the effect of fish age and size on the endurance of larvae from hatching through the onset of settlement, we evaluated the swimming duration of A. percula larvae at 0, 4, and 8 dph (day post hatch), and of E. lori and E. colini at 0, 10, 20, and 30 dph. At the start of each trial, an individual larva was acclimated to the flume for 2 min with water flowing at a velocity of < 1 cm s-1. If the larva displayed normal orientation and swimming behavior during acclimation, then the velocity was increased to a fixed setting of 2, 4, 6, 8 or 10 cm s-1. Swimming duration was recorded as the total time that a larva swam before being expelled from the flume or collected on the back mesh, minus the 2 min acclimation period. At slower flow velocities (2 \u2013 4 cm s-1), some late-stage larvae (i.e., A. percula: 8 dph; Elacatinus spp.: 30 dph) chose to settle on the bottom rather than swim in the water column and were therefore removed from the data set. awards_0_award_nid=651264 awards_0_award_number=OCE-1459546 awards_0_data_url=http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1459546 awards_0_funder_name=NSF Division of Ocean Sciences awards_0_funding_acronym=NSF OCE awards_0_funding_source_nid=355 awards_0_program_manager=Michael E. Sieracki awards_0_program_manager_nid=50446 cdm_data_type=Other comment=Swimming Endurance P. Buston and J. Majoris, PIs Version 22 June 2018 Conventions=COARDS, CF-1.6, ACDD-1.3 data_source=extract_data_as_tsv version 2.3 19 Dec 2019 defaultDataQuery=&time<now doi=10.1575/1912/bco-dmo.739171.1 infoUrl=https://www.bco-dmo.org/dataset/739171 institution=BCO-DMO instruments_0_dataset_instrument_description=Used to analyze fish swimming behavior instruments_0_dataset_instrument_nid=739178 instruments_0_description=A tool used to analyze and quantify fish swimming behavior, physiology, and performance. instruments_0_instrument_name=Swimming Flume instruments_0_instrument_nid=739157 instruments_0_supplied_name=Custom designed swimming flume metadata_source=https://www.bco-dmo.org/api/dataset/739171 param_mapping={'739171': {}} parameter_source=https://www.bco-dmo.org/mapserver/dataset/739171/parameters people_0_affiliation=Boston University people_0_affiliation_acronym=BU people_0_person_name=Dr Peter Buston people_0_person_nid=544437 people_0_role=Principal Investigator people_0_role_type=originator people_1_affiliation=Boston University people_1_affiliation_acronym=BU people_1_person_name=Dr John Majoris people_1_person_nid=728439 people_1_role=Co-Principal Investigator people_1_role_type=originator people_2_affiliation=Boston University people_2_affiliation_acronym=BU people_2_person_name=Dr John Majoris people_2_person_nid=728439 people_2_role=Contact people_2_role_type=related people_3_affiliation=Woods Hole Oceanographic Institution people_3_affiliation_acronym=WHOI BCO-DMO people_3_person_name=Hannah Ake people_3_person_nid=650173 people_3_role=BCO-DMO Data Manager people_3_role_type=related project=Elacatinus Dispersal II projects_0_acronym=Elacatinus Dispersal II projects_0_description=Description from NSF award abstract: Understanding how far young fish move away from their parents is a major goal of marine ecology because this dispersal can make connections between distinct populations and thus influence population size and dynamics. Understanding the drivers of population dynamics is, in turn, essential for effective fisheries management. Marine ecologists have used two different approaches to understand how fish populations are connected: genetic methods that measure connectivity and oceanographic models that predict connectivity. There is, however, a mismatch between the predictions of oceanographic models and the observations of genetic methods. It is thought that this mismatch is caused by the behavior of the young, or larval, fish. The objective of this research is to study the orientation capabilities of larval fish in the wild throughout development and under a variety of environmental conditions to see if the gap between observations and predictions of population connectivity can be resolved. The project will have broader impacts in three key areas: integration of research and teaching by training young scientists at multiple levels; broadening participation of undergraduates from underrepresented groups; and wide dissemination of results through development of a website with information and resources in English and Spanish. The overall objective of the research is to investigate the role of larval orientation behavior throughout ontogeny in determining population connectivity. This will be done using the neon goby, Elacatinus lori, as a model system in Belize. The choice of study system is motivated by the fact that direct genetic methods have already been used to describe the complete dispersal kernel for this species, and these observations indicate that dispersal is less extensive than predicted by a high-resolution biophysical model; E. lori can be reared in the lab from hatching to settlement providing a reliable source of larvae of all ages for proposed experiments; and a new, proven behavioral observation platform, the Drifting In Situ Chamber (DISC), allows measurements of larval orientation behavior in open water. The project has three specific objectives: to understand ontogenetic changes in larval orientation capabilities by correlating larval orientation behavior with developmental sensory anatomy; to analyze variation in the precision of larval orientation in different environmental contexts through ontogeny; and to test alternative hypotheses for the goal of larval orientation behavior, i.e., to determine where larvae are heading as they develop. projects_0_end_date=2018-04 projects_0_geolocation=Belizean Barrier Reef System projects_0_name=Collaborative Research: The Role of Larval Orientation Behavior in Determining Population Connectivity projects_0_project_nid=651265 projects_0_start_date=2015-05 sourceUrl=(local files) standard_name_vocabulary=CF Standard Name Table v55 version=1 xml_source=osprey2erddap.update_xml() v1.3

Illumina sequencing data (NCBI accession numbers) from sediment strata collected from the cold seeps of Hydrate Ridge, metalliferous sediments of Juan de Fuca Ridge, and organic-rich hydrothermal sediments of Guaymas Basin. access_formats=.htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson acquisition_description=This study included cold seep and hydrothermal vent sediments from along the Pacific coast of North America. Sediments were collected via 30 cm long polycarbonate pushcores from a cold methane seep at Hydrate Ridge (44\u00b034'10. 20"N, 125\u00b0 8'48. 48"W) at 777 m water depth with the ROV Ropos (Dive 1458); hydrothermal vents at Guaymas Basin, Gulf of California (27\u00b00'27.84"N, 111\u00b024'27.84"W) at 2000 m with the DSV Alvin (Dive 4486); and hydrothermal vents at Middle Valley, Juna de Fuca Ridge (48\u00b027'26.40"N, 128\u00b042'30.60"W) at 2413 m with the DSV Alvin (Dive 4625). For this study, a total of three pushcores were collected from Hydrate Ridge at 4\u00b0C, one from Guaymas Basin at 30-35\u00b0C, and one from Middle Valley at 5\u201357\u00b0C (Table 4.1). Total genomic DNA was extracted using a phenol-chloroform protocol modified to prevent nucleic acid loss and eliminate potential inhibitors of downstream PCR, and which has been very successful in studies of low biomass sediments (Adams et al. 2013). PCR amplification was performed with primers designed to be universal to both archaea and bacteria (515F/806R) (Caporaso et al., 2012), containing attached Illumina adaptors and barcodes (Kozich et al., 2013). All DNA extracts were amplified in duplicate with OmniTaq (Taq mutant) polymerase according to the manufacturer\u2019s instructions (DNA Polymerase Technologies, St. Louis, MO, USA), with a final concentration of 0.2 \u03bcM for each primer. For each PCR, 1 \u03bcL template DNA was added to the final reaction mixture for a final volume of 50 \u03bcl. Amplification conditions were as follows: 94\u00b0C for 3 min to denature DNA; 30 cycles at 94\u00b0C for 45 s, 50\u00b0C for 60 s, and 72\u00b0C for 60 s; and a final extension of 10 min at 72 \u00b0C. awards_0_award_nid=626092 awards_0_award_number=OCE-1459252 awards_0_data_url=http://www.nsf.gov/awardsearch/showAward?AWD_ID=1459252 awards_0_funder_name=NSF Division of Ocean Sciences awards_0_funding_acronym=NSF OCE awards_0_funding_source_nid=355 awards_0_program_manager=David L. Garrison awards_0_program_manager_nid=50534 cdm_data_type=Other comment=Illumina Sequencing From Deep Sea Sediments PI: Peter Girguis (Harvard) Contributor: Melissa Adams Version date: 12 October 2018 Conventions=COARDS, CF-1.6, ACDD-1.3 data_source=extract_data_as_tsv version 2.3 19 Dec 2019 defaultDataQuery=&time<now doi=10.1575/1912/bco-dmo.747948.1 Easternmost_Easting=-111.4078 geospatial_lat_max=48.45722 geospatial_lat_min=27.0078 geospatial_lat_units=degrees_north geospatial_lon_max=-111.4078 geospatial_lon_min=-128.70861 geospatial_lon_units=degrees_east infoUrl=https://www.bco-dmo.org/dataset/747948 institution=BCO-DMO instruments_0_acronym=Thermal Cycler instruments_0_dataset_instrument_nid=747953 instruments_0_description=General term for a laboratory apparatus commonly used for performing polymerase chain reaction (PCR). The device has a thermal block with holes where tubes with the PCR reaction mixtures can be inserted. The cycler then raises and lowers the temperature of the block in discrete, pre-programmed steps.

(adapted from http://serc.carleton.edu/microbelife/research_methods/genomics/pcr.html) instruments_0_instrument_name=PCR Thermal Cycler instruments_0_instrument_nid=471582 metadata_source=https://www.bco-dmo.org/api/dataset/747948 Northernmost_Northing=48.45722 param_mapping={'747948': {'latitude': 'flag - latitude', 'longitude': 'flag - longitude'}} parameter_source=https://www.bco-dmo.org/mapserver/dataset/747948/parameters people_0_affiliation=Harvard University people_0_person_name=Peter Girguis people_0_person_nid=544586 people_0_role=Principal Investigator people_0_role_type=originator people_1_affiliation=Harvard University people_1_person_name=Melissa Adams people_1_person_nid=747964 people_1_role=Contact people_1_role_type=related people_2_affiliation=Woods Hole Oceanographic Institution people_2_affiliation_acronym=WHOI BCO-DMO people_2_person_name=Shannon Rauch people_2_person_nid=51498 people_2_role=BCO-DMO Data Manager people_2_role_type=related project=SedimentaryIronCycle projects_0_acronym=SedimentaryIronCycle projects_0_description=Iron is a critical element for life that serves as an essential trace element for eukaryotic organisms. It is also able to support the growth of a cohort of microbes that can either gain energy for growth via oxidation of ferrous (Fe(II)) to ferric (Fe(III)) iron, or by utilizing Fe(III) for anaerobic respiration coupled to oxidation of simple organic matter or H2. This coupled process is referred to as the microbial iron cycle. One of the primary sources of iron to the ocean comes from dissolved iron (dFe) that is produced through oxidation and reduction processes in the sediment where iron is abundant. The dFe is transported into the overlaying water where it is an essential nutrient for phytoplankton responsible for primary production in the world’s oceans. In fact, iron limitation significantly impacts production in as much as a third of the world’s open oceans. The basic geochemistry of this process is understood; however important gaps exist in our knowledge about the details of how the iron cycle works, and how critical a role bacteria play in it. Intellectual Merit. Conventional wisdom holds that most of the iron oxidation in sediments is abiological, as a result of the rapid kinetics of chemical iron oxidation in the presence of oxygen. This proposal aims to question this conventional view and enhance our understanding of the microbes involved in the sedimentary iron cycle, with an emphasis on the bacteria that catalyze the oxidation of iron. These Fe-oxidizing bacteria (FeOB) utilize iron as a sole energy source for growth, and are autotrophic. They were only discovered in the ocean about forty-five years ago, and are now known to be abundant at hydrothermal vents that emanate ferrous-rich fluids. More recently, the first evidence was published that they could inhabit coastal sediments, albeit at reduced numbers, and even be abundant in some continental shelf sediments. These habitats are far removed from hydrothermal vents, and reveal the sediments may be an important habitat for FeOB that live on ferrous iron generated in the sediment. This begs the question: are FeOB playing an important role in the oxidative part of the sedimentary Fe-cycle? One important attribute of FeOB is their ability to grow at very low levels of O2, an essential strategy for them to outcompete chemical iron oxidation. How low a level of O2 can sustain them, and how this might affect their distribution in sediments is unknown. In part, this is due to the technical challenges of measuring O2 concentrations and dynamics at very low levels; yet these concentrations could be where FeOB flourish. The central hypothesis of this proposal is that FeOB are more common in marine sedimentary environments than previously recognized, and play a substantive role in governing the iron flux from the sediments into the water column by constraining the release of dFe from sediments. A set of experimental objectives are proposed to test this. A survey of near shore regions in the Gulf of Maine, and a transect along the Monterey Canyon off the coast of California will obtain cores of sedimentary muds and look at the vertical distribution of FeOB and putative Fe-reducing bacteria using sensitive techniques to detect their presence and relative abundance. Some of these same sediments will be used in a novel reactor system that will allow for precise control of O2 levels and iron concentration to measure the dynamics of the iron cycle under different oxygen regimens. Finally pure cultures of FeOB with different O2 affinities will be tested in a bioreactor coupled to a highly sensitive mass spectrometer to determine the lower limits of O2 utilization for different FeOB growing on iron, thus providing mechanistic insight into their activity and distribution in low oxygen environments. Broader Impacts. An important impact of climate change on marine environments is a predicted increase in low O2 or hypoxic zones in the ocean. Hypoxia in association with marine sediments will have a profound influence on the sedimentary iron cycle, and is likely to lead to greater inputs of dFe into the ocean. In the longer term, this increase in dFe flux could alleviate iron-limitation in some regions of the ocean, thereby enhancing the rate of CO2-fixation and draw down of CO2 from the atmosphere. This is one important reason for developing a better understanding of microbial control of sedimentary iron cycle. This project will also provide training to a postdoctoral scientist, graduate students and undergraduates. This project will contribute to a student initiated exhibit, entitled ‘Iron and the evolution of life on Earth’ at the Harvard Museum of Natural History providing a unique opportunity for undergraduate training and outreach. projects_0_geolocation=Intertidal coastal river and coastal shelf sediments, mid-coast, Maine, USA; Monteray Bay Canyon, sediments, CA, USA projects_0_name=Collaborative Research: The Role of Iron-oxidizing Bacteria in the Sedimentary Iron Cycle: Ecological, Physiological and Biogeochemical Implications projects_0_project_nid=544584 sourceUrl=(local files) Southernmost_Northing=27.0078 standard_name_vocabulary=CF Standard Name Table v55 subsetVariables=Species_Names,description_of_the_types_of_sequences,sequencing_and_analysis_methods,instrument_and_model,Analysis_methods version=1 Westernmost_Easting=-128.70861 xml_source=osprey2erddap.update_xml() v1.3

The \u201cdissolution\u201d method to measure N2 fixation rates with 15N2 gas tracer involves the preparation of 15N2-enriched water that is then added to each incubation bottle. Investigators typically measure the 15N2 atom% of the 15N2-enriched inoculum by MIMS, and extrapolate the 15N2 atom% in the incubations based on the inoculum value. Here, we demonstrate that such extrapolation yields inaccurate estimates of the 15N2 atom% of incubations. The latter should be measured directly. access_formats=.htmlTable,.csv,.json,.mat,.nc,.tsv acquisition_description=Inocula of 15N2-enriched water were prepared according to either of two protocols outlined by Klawonn et al. (2015).\u00a0
In a first Trial A, respective 1.9 mL of 15N2 gas aliquots (Cambridge Isotope Laboratories, Lot #I-21065) were injected into crimped-sealed 120 mL glass serum vials filled with deionized water. To dissolve the 15N2 bubble, each of the two serum vials was vortexed for 5 minutes. Two subsamples of each inoculum were dispensed into Exetainers\u2122 with a peristaltic pump for analysis on the MIMS. An aliquot of each inoculum (5 % vol/vol) was then dispensed in replicate 160 mL serum incubation bottles containing air- equilibrated deionized water (Trials A1-A4), which were then crimped-sealed. Following homogenization, triplicate subsamples of each incubation were collected in Exetainers\u2122 for MIMS analysis. The 15N atom % of the inocula and of the corresponding incubations were measured by MIMS at the University of Connecticut (Bay Instruments) and computed as follows:\u00a0

Equation 4:\u00a0

In Trial B, duplicate 6 mL, 12 mL, and 24 mL aliquots of enriched seawater, prepared as per Wilson et al. (2012; Cambridge Isotope Laboratories 15N2 gas aliquots, Lot #I-19168A), were added to 100 mL glass serum vials, filled with air equilibrated seawater, and crimp-sealed with no headspace using Teflon- lined septa. Triplicate subsamples of this dilution series and the enriched seawater were analyzed at the University of Hawaii on a MIMS (Bay Instruments; Eq. 4).
\u00a0

In both trials, the concentration of N2 isotopologues (m/z 28, 29, and 30) in each of the 15N2-enriched inocula was then extrapolated from the ionization efficiency of N isotopologues in air-equilibrated seawater. We define the ionization efficiency as the ratio of the isotopologue ion current measured by MIMS relative to its concentration in air-equilibrated seawater (ASW):\u00a0
\u00a0

Equation S2:\u00a0

For instance, at a temperature of 25\u00baC and salinity of 35 psu, the solubility coefficients of Hamme and Emerson (2004) predict a N2 concentration of 388.9 \u03bcmol kg-1. The fraction of 15N in N2 (i.e., 15N/(14N+15N)) for air-equilibrated seawater is 0.003663 (Mariotti, 1983), such that the expected fractions of 28N2, 29N2, and 30N2 derived from their binomial probability distributions are as follows:
\u00a0

\u00a0 = 99.2687 % Equation S3a

= 0.7299 % Equation S3b

= 0.0013 % Equation S3c
\u00a0

Accordingly, air-equilibrated concentrations of 28N2, 29N2, and 30N2 at this temperature and salinity are 386.0, 2.8, and 0.005 \u03bcmol kg-1, respectively. The ionization efficiency of the isotopologues is then equal to the ion current of m/z 28 recorded for ASW divided by the corresponding 28N2 concentration (Eq. S2). We used the ionization efficiency of m/z 28 in ASW to derive the N2 isotopologue concentrations in the inocula from their respective MIMS ion currents. We did not derive distinct ionization efficiencies from the ion current-to-concentration of m/z 29 and 30 in ASW, as these isotopologues are poorly resolved by the MIMS at natural abundance. Thus, we are assuming that the ionization efficiency of m/z 29 and 30 isotopologues is roughly similar to that of m/z 28 (i.e., that ionization isotope effects are negligible for our purposes). The initial expected AN2 of the \u201cincubations\u201d was then calculated using a linear mixing model with N2 isotopologue concentrations in ambient and enriched seawater awards_0_award_nid=772538 awards_0_award_number=OCE-1732246 awards_0_data_url=http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1732246 awards_0_funder_name=NSF Division of Ocean Sciences awards_0_funding_acronym=NSF OCE awards_0_funding_source_nid=355 awards_0_program_manager=Henrietta N Edmonds awards_0_program_manager_nid=51517 cdm_data_type=Other comment=Trial b test of the dissolution method PI: Julie Granger Version: 2019-09-30 Conventions=COARDS, CF-1.6, ACDD-1.3 data_source=extract_data_as_tsv version 2.3 19 Dec 2019 defaultDataQuery=&time<now doi=10.1575/1912/bco-dmo.778158.1 infoUrl=https://www.bco-dmo.org/dataset/778158 institution=BCO-DMO instruments_0_acronym=IR Mass Spec instruments_0_dataset_instrument_description=continuous flow Delta V Isotope Ratio Mass Spectrometer (Smith et al. 2015), and continuous flow-GV Isoprime IRMS (Charoenpong et al., 2014) instruments_0_dataset_instrument_nid=778166 instruments_0_description=The Isotope-ratio Mass Spectrometer is a particular type of mass spectrometer used to measure the relative abundance of isotopes in a given sample (e.g. VG Prism II Isotope Ratio Mass-Spectrometer). instruments_0_instrument_external_identifier=https://vocab.nerc.ac.uk/collection/L05/current/LAB16/ instruments_0_instrument_name=Isotope-ratio Mass Spectrometer instruments_0_instrument_nid=469 instruments_0_supplied_name=Isotope Ratio Mass Spectrometer instruments_1_acronym=MIMS instruments_1_dataset_instrument_description=Membrane Inlet Mass Spectrometer (Bay Instruments) instruments_1_dataset_instrument_nid=778165 instruments_1_description=Membrane-introduction mass spectrometry (MIMS) is a method of introducing analytes into the mass spectrometer's vacuum chamber via a semipermeable membrane. instruments_1_instrument_name=Membrane Inlet Mass Spectrometer instruments_1_instrument_nid=661606 instruments_1_supplied_name=Membrane Inlet Mass Spectrometer metadata_source=https://www.bco-dmo.org/api/dataset/778158 param_mapping={'778158': {}} parameter_source=https://www.bco-dmo.org/mapserver/dataset/778158/parameters people_0_affiliation=University of Connecticut people_0_affiliation_acronym=UConn people_0_person_name=Julie Granger people_0_person_nid=528937 people_0_role=Principal Investigator people_0_role_type=originator people_1_affiliation=University of Massachusetts Dartmouth people_1_affiliation_acronym=UMass Dartmouth people_1_person_name=Annie Bourbonnais people_1_person_nid=778011 people_1_role=Co-Principal Investigator people_1_role_type=originator people_2_affiliation=University of Hawaii people_2_person_name=Samuel Wilson people_2_person_nid=51733 people_2_role=Co-Principal Investigator people_2_role_type=originator people_3_affiliation=Woods Hole Oceanographic Institution people_3_affiliation_acronym=WHOI BCO-DMO people_3_person_name=Mathew Biddle people_3_person_nid=708682 people_3_role=BCO-DMO Data Manager people_3_role_type=related project=EAGER NitFix projects_0_acronym=EAGER NitFix projects_0_description=NSF Award Abstract: The availability of nitrogen is required to support the growth and production of organisms living in the surface of our global ocean. This element can be scarce. To alleviate this scarcity, a special class of bacteria and archaea, called nitrogen fixers, can derive the nitrogen needed for growth from nitrogen gas. This project would carefully examine one specific method for measuring nitrogen fixation that has been used recently to suggest the occurrence of small amounts of nitrogen fixation in subsurface ocean waters. If these reports are verified, then a revision of our understanding of the marine nitrogen cycle may be needed. The Ocean Carbon and Biogeochemistry program will be used as a platform to develop community consensus for best practices in nitrogen fixation measurements and detection of diversity, activity, and abundances of the organisms responsible. In addition, a session will be organized in a future national/international conference to communicate with the broader scientific community while developing these best practices. The goal of this study is to conduct a thorough examination of potential experimental and analytical errors inherent to the 15N2-tracer nitrogen fixation method, in tandem with comprehensive molecular measurements, in mesopelagic ocean waters. Samples will be collected and experimental work conducted on a cruise transect in the North Atlantic Ocean, followed by analytical work in the laboratory. The specific aims of this study are to (1) determine the minimum quantifiable rates of 15N2 fixation based on incubations of mesopelagic waters via characterization of sources of experimental and analytical error, and (2) seek evidence of presence and expression of nitrogen fixation genes via comprehensive molecular approaches on corresponding samples. The range of detectable rates and diazotroph activity from the measurements made in this study will be informative for the understanding of the importance of nitrogen fixation in the oceanic nitrogen budget. projects_0_end_date=2018-10 projects_0_geolocation=North Atlantic Ocean, Pacific Ocean projects_0_name=EAGER: Collaborative Research: Detection limit in marine nitrogen fixation measurements - Constraints of rates from the mesopelagic ocean projects_0_project_nid=772534 projects_0_start_date=2017-05 sourceUrl=(local files) standard_name_vocabulary=CF Standard Name Table v55 version=1 xml_source=osprey2erddap.update_xml() v1.3