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Grid DAP Data | Sub- set | Table DAP Data | Make A Graph | W M S | Source Data Files | Acces- sible | Title | Sum- mary | FGDC, ISO, Metadata | Back- ground Info | RSS | E | Institution | Dataset ID |
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data | graph | files | public | [234Th Flux] - 234Th flux in epipelagic waters at Station ALOHA and the Equatorial Pacific from R/V Kilo Moana cruises KM1407, KM1418, & KM1515 during 2014-2015 (Evaluating the relative importance of suspended and sinking particles to the meso and bathypelagic food web in the central North Pacific) | F I M | background | BCO-DMO | bcodmo_dataset_806471 |
Row Type | Variable Name | Attribute Name | Data Type | Value |
---|---|---|---|---|
attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson |
attribute | NC_GLOBAL | acquisition_description | String | Total \u00b2\u00b3\u2074Th was measured in samples of seawater collected at discrete depths using Niskin bottles as described in Umhau et al. (2019). Briefly, 2 L of seawater was collected at each selected depth. Samples were spiked with \u00b2\u00b3\u2070Th as a yield tracer and acidified to pH ~ 1 using concentrated nitric acid. After equilibration, ~ 6 hours later, KMnO\u2084 and MnCl\u2082 were added and the pH adjusted to ~ 9 with concentrated NH\u2084OH in order to co-precipitate Th via the formation of MnO\u2082. After eight hours, total \u00b2\u00b3\u2074Th samples were filtered onto 25 mm QMA filters, air dried, and frozen. The \u00b2\u00b3\u2074Th flux (dpm m\u207b\u00b2 d\u207b\u00b9) was calculated from the \u00b2\u00b3\u2074Th:\u00b2\u00b3\u2078U disequilibrium and assuming a steady state (Umhau et al. 2019). The \u00b2\u00b3\u2074Th flux at each depth was obtained by integrating the flux for the overlying depths using trapezoidal integration. Thorium counts were made using a low level RISO beta counter within 2 weeks of sample collection. |
attribute | NC_GLOBAL | awards_0_award_nid | String | 537122 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1333734 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1333734 |
attribute | NC_GLOBAL | awards_0_funder_name | String | NSF Division of Ocean Sciences |
attribute | NC_GLOBAL | awards_0_funding_acronym | String | NSF OCE |
attribute | NC_GLOBAL | awards_0_funding_source_nid | String | 355 |
attribute | NC_GLOBAL | awards_0_program_manager | String | David L. Garrison |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 50534 |
attribute | NC_GLOBAL | awards_1_award_nid | String | 560590 |
attribute | NC_GLOBAL | awards_1_award_number | String | OCE-1433846 |
attribute | NC_GLOBAL | awards_1_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1433846 |
attribute | NC_GLOBAL | awards_1_funder_name | String | NSF Division of Ocean Sciences |
attribute | NC_GLOBAL | awards_1_funding_acronym | String | NSF OCE |
attribute | NC_GLOBAL | awards_1_funding_source_nid | String | 355 |
attribute | NC_GLOBAL | awards_1_program_manager | String | Donald L. Rice |
attribute | NC_GLOBAL | awards_1_program_manager_nid | String | 51467 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | 234Th Flux PI: Claudia R. Benitez-Nelson (University of South Carolina) Co-PIs: Brain N. Popp & Jeffrey C. Drazen (Univeristy of Hawaii) Version date: 19-March-2020 |
attribute | NC_GLOBAL | Conventions | String | COARDS, CF-1.6, ACDD-1.3 |
attribute | NC_GLOBAL | creator_email | String | info at bco-dmo.org |
attribute | NC_GLOBAL | creator_name | String | BCO-DMO |
attribute | NC_GLOBAL | creator_type | String | institution |
attribute | NC_GLOBAL | creator_url | String | https://www.bco-dmo.org/ |
attribute | NC_GLOBAL | data_source | String | extract_data_as_tsv version 2.3 19 Dec 2019 |
attribute | NC_GLOBAL | date_created | String | 2020-03-19T14:25:49Z |
attribute | NC_GLOBAL | date_modified | String | 2020-03-31T21:12:48Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.26008/1912/bco-dmo.806471.1 |
attribute | NC_GLOBAL | Easternmost_Easting | double | -155.0 |
attribute | NC_GLOBAL | geospatial_lat_max | double | 22.0 |
attribute | NC_GLOBAL | geospatial_lat_min | double | 5.0 |
attribute | NC_GLOBAL | geospatial_lat_units | String | degrees_north |
attribute | NC_GLOBAL | geospatial_lon_max | double | -155.0 |
attribute | NC_GLOBAL | geospatial_lon_min | double | -158.0 |
attribute | NC_GLOBAL | geospatial_lon_units | String | degrees_east |
attribute | NC_GLOBAL | geospatial_vertical_max | double | 200.0 |
attribute | NC_GLOBAL | geospatial_vertical_min | double | 5.0 |
attribute | NC_GLOBAL | geospatial_vertical_positive | String | down |
attribute | NC_GLOBAL | geospatial_vertical_units | String | m |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/806471 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | Niskin bottle |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_description | String | Total 234Th was measured in samples of seawater collected at discrete depths using Niskin bottles. |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 806480 |
attribute | NC_GLOBAL | instruments_0_description | String | 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. |
attribute | NC_GLOBAL | instruments_0_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/ |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | Niskin bottle |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 413 |
attribute | NC_GLOBAL | instruments_0_supplied_name | String | Niskin bottles |
attribute | NC_GLOBAL | instruments_1_acronym | String | Riso Beta Counter |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_description | String | Thorium counts were made using a low level RISO beta counter within 2 weeks of sample collection. |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_nid | String | 806481 |
attribute | NC_GLOBAL | instruments_1_description | String | Low-level beta detectors manufactured by Riso (now Nutech) in Denmark. These instruments accept samples that can be mounted on a 25mm filter holder. These detectors have very low backgrounds, 0.17 counts per minute, and can have counting efficiencies as high as 55%. See: http://cafethorium.whoi.edu/website/about/services_radioanalytical_facility_equip.html and http://www.nutech.dtu.dk/Produkter/Dosimetri/NUK_instruments/GM_multicounter.aspx |
attribute | NC_GLOBAL | instruments_1_instrument_name | String | Riso Laboratory Anti-coincidence Beta Counters |
attribute | NC_GLOBAL | instruments_1_instrument_nid | String | 687 |
attribute | NC_GLOBAL | instruments_1_supplied_name | String | RISO beta counter |
attribute | NC_GLOBAL | keywords | String | bco, bco-dmo, biological, chemical, cruise, data, dataset, date, Date_final, depth, dmo, erddap, error, final, flux, initial, latitude, longitude, management, oceanography, office, preliminary, season, site, Th_flux, Th_flux_error, time |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/806471/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/806471 |
attribute | NC_GLOBAL | Northernmost_Northing | double | 22.0 |
attribute | NC_GLOBAL | param_mapping | String | {'806471': {'Latitude': 'flag - latitude', 'Depth': 'flag - depth', 'Longitude': 'flag - longitude'}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/806471/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | University of South Carolina |
attribute | NC_GLOBAL | people_0_person_name | String | Claudia R. Benitez-Nelson |
attribute | NC_GLOBAL | people_0_person_nid | String | 51092 |
attribute | NC_GLOBAL | people_0_role | String | Principal Investigator |
attribute | NC_GLOBAL | people_0_role_type | String | originator |
attribute | NC_GLOBAL | people_1_affiliation | String | University of Hawaii at Manoa |
attribute | NC_GLOBAL | people_1_affiliation_acronym | String | SOEST |
attribute | NC_GLOBAL | people_1_person_name | String | Jeffrey C. Drazen |
attribute | NC_GLOBAL | people_1_person_nid | String | 491313 |
attribute | NC_GLOBAL | people_1_role | String | Co-Principal Investigator |
attribute | NC_GLOBAL | people_1_role_type | String | originator |
attribute | NC_GLOBAL | people_2_affiliation | String | University of Hawaii at Manoa |
attribute | NC_GLOBAL | people_2_affiliation_acronym | String | SOEST |
attribute | NC_GLOBAL | people_2_person_name | String | Brian N. Popp |
attribute | NC_GLOBAL | people_2_person_nid | String | 51093 |
attribute | NC_GLOBAL | people_2_role | String | Co-Principal Investigator |
attribute | NC_GLOBAL | people_2_role_type | String | originator |
attribute | NC_GLOBAL | people_3_affiliation | String | Woods Hole Oceanographic Institution |
attribute | NC_GLOBAL | people_3_affiliation_acronym | String | WHOI BCO-DMO |
attribute | NC_GLOBAL | people_3_person_name | String | Shannon Rauch |
attribute | NC_GLOBAL | people_3_person_nid | String | 51498 |
attribute | NC_GLOBAL | people_3_role | String | BCO-DMO Data Manager |
attribute | NC_GLOBAL | people_3_role_type | String | related |
attribute | NC_GLOBAL | project | String | SuspendSinkPart,Hg_Biogeochemistry |
attribute | NC_GLOBAL | projects_0_acronym | String | SuspendSinkPart |
attribute | NC_GLOBAL | projects_0_description | String | Description from NSF award abstract: The ocean's midwaters are the largest living space on the planet. The mesopelagic food web plays key roles in the biological carbon pump and the production of food for commercially harvested species, but its functioning is understudied because it is remote and technologically challenging to sample. Recent estimates indicate respiratory demand outstrips measured sinking particle supply by up to 2-3 orders of magnitude suggesting that some food inputs to the mesopelagic food web have been underestimated or missed. Suspended particles frequently are not sampled effectively and may be an overlooked food source. Because identifying the principal inputs of organic matter to the deep-sea food web is critical to understanding its function, the investigators propose to evaluate the relative importance of suspended and sinking particles to the meso- and bathypelagic food web in the central North Pacific. They will characterize the isotopic compositions of specific groups of mesopelagic and bathypelagic zooplankton and micronekton, and identify the extent to which they consume suspended or sinking particles using mass balance approaches. The investigators recently have recognized differences in delta 15N and delta 13C values of amino acids (AA) of sinking and suspended particles; these patterns diverge with depth, providing a means to distinguish between food web pathways. The research will define the source-specific isotopic values of suspended and sinking particles at several depths from the surface to the bathypelagic and test proposed microbial mechanisms driving these depth patterns. At corresponding depths, MOCNESS trawls will sample diverse metazoa: zooplankton size fractions, plus targeted resident, migrating and likely suspension-feeding taxa of zooplankton and micronekton. Preliminary data suggest that suspended particles are a secondary food source, containing less labile organic matter than sinking particles that exhibit a seasonal cycle in flux in the central North Pacific. This study will determine if suspended particles become more important to zooplankton and micronekton during a time of year when sinking particle flux is low (Jan/Feb) in comparison to when it is high (Aug), allowing an evaluation of how temporal change in surface ocean productivity affects the functioning of mesopelagic food webs. Recent research has called for additional study of the ocean's deep midwaters. This study will provide new insights into the functioning of the meso- and bathypelagic food web and its coupling with surface ocean processes in the central North Pacific. The recently-demonstrated ecological tool of amino acid-specific isotopic analysis will provide a novel and comprehensive approach with which to address our hypotheses, and the project will develop the first AA isotopic dataset spanning particles to fish. Results will help identify the ecological underpinnings of increasing delta 15N values with depth in zooplankton -- apparently a common pattern. Zooplankton consumption of suspended particles also could constitute a mechanistic link between the microbial loop and higher trophic levels. The processes controlling the enormous attenuation of particle flux by mesopelagic consumers -- and thereby the strength of carbon sequestration to the deep ocean -- are not understood. Seasonal sampling will help us relate mesopelagic food web processes to changes in surface ocean productivity, furthering our understanding of future climate change impacts on deep-sea food webs and carbon flux. With regard to fisheries, many oceanic top predators such as tuna and swordfish feed on mesopelagic micronekton. A clearer understanding of the structure of mesopelagic food webs will help inform ecosystem models which are used to understand variation in fisheries production. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2016-12 |
attribute | NC_GLOBAL | projects_0_geolocation | String | Subtropical waters north of Hawaii; Station Aloha (22° 45'N, 158° 00'W) |
attribute | NC_GLOBAL | projects_0_name | String | Evaluating the relative importance of suspended and sinking particles to the meso and bathypelagic food web in the central North Pacific |
attribute | NC_GLOBAL | projects_0_project_nid | String | 537123 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2014-01 |
attribute | NC_GLOBAL | projects_1_acronym | String | Hg_Biogeochemistry |
attribute | NC_GLOBAL | projects_1_description | String | NSF award abstract: Mercury is a pervasive trace element that exists in several states in the marine environment, including monomethylmercury (MMHg), a neurotoxin that bioaccumulates in marine organisms and poses a human health threat. Understanding the fate of mercury in the ocean and resulting impacts on ocean food webs requires understanding the mechanisms controlling the depths at which mercury chemical transformations occur. Preliminary mercury analyses on nine species of marine fish from the North Pacific Ocean indicated that intermediate waters are an important entry point for MMHg into open ocean food webs. To elucidate the process controlling this, researchers will examine mercury dynamics in regions with differing vertical dissolved oxygen profiles, which should influence depths of mercury transformation. Results of the study will aid in a better understanding of the pathways by which mercury enters the marine food chain and can ultimately impact humans. This project will provide training for graduate and undergraduate students, and spread awareness on oceanic mercury through public outreach and informal science programs. Mercury isotopic variations can provide insight into a wide variety of environmental processes. Isotopic compositions of mercury display mass-dependent fractionation (MDF) during most biotic and abiotic chemical reactions and mass-independent fractionation (MIF) during photochemical radical pair reactions. The unusual combination of MDF and MIF can provide information on reaction pathways and the biogeochemical history of mercury. Results from preliminary research provide strong evidence that net MMHg formation occurred below the surface mixed layer in the pycnocline and suggested that MMHg in low oxygen intermediate waters is an important entry point for mercury into open ocean food webs. These findings highlight the critical need to understand how MMHg levels in marine biota will respond to changes in atmospheric mercury emissions, deposition of inorganic mercury to the surface ocean, and hypothesized future expansion of oxygen minimum zones. Using field collections across ecosystems with contrasting biogeochemistry and mercury isotope fractionation experiments researchers will fill key knowledge gaps in mercury biogeochemistry. Results of the proposed research will enable scientists to assess the biogeochemical controls on where in the water column mercury methylation and demethylation likely occur. Related background publication with supplemental data section: Joel D. Blum, Brian N. Popp, Jeffrey C. Drazen, C. Anela Choy & Marcus W. Johnson. 2013. Methylmercury production below the mixed layer in the North Pacific Ocean. Nature Geoscience 6, 879–884. doi:10.1038/ngeo1918 |
attribute | NC_GLOBAL | projects_1_end_date | String | 2017-07 |
attribute | NC_GLOBAL | projects_1_geolocation | String | Pacific Subtropical Gyre, Station ALOHA 22.75N 158W; equatorial Pacific (10N 155W, 5N 155W) |
attribute | NC_GLOBAL | projects_1_name | String | Collaborative Research: Isotopic insights to mercury in marine food webs and how it varies with ocean biogeochemistry |
attribute | NC_GLOBAL | projects_1_project_nid | String | 560580 |
attribute | NC_GLOBAL | projects_1_start_date | String | 2014-08 |
attribute | NC_GLOBAL | publisher_name | String | Biological and Chemical Oceanographic Data Management Office (BCO-DMO) |
attribute | NC_GLOBAL | publisher_type | String | institution |
attribute | NC_GLOBAL | sourceUrl | String | (local files) |
attribute | NC_GLOBAL | Southernmost_Northing | double | 5.0 |
attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | summary | String | 234Th flux in epipelagic waters at Station ALOHA and the Equatorial Pacific from R/V Kilo Moana cruises KM1407, KM1418, & KM1515 during 2014-2015. |
attribute | NC_GLOBAL | title | String | [234Th Flux] - 234Th flux in epipelagic waters at Station ALOHA and the Equatorial Pacific from R/V Kilo Moana cruises KM1407, KM1418, & KM1515 during 2014-2015 (Evaluating the relative importance of suspended and sinking particles to the meso and bathypelagic food web in the central North Pacific) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | Westernmost_Easting | double | -158.0 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | Cruise | String | ||
attribute | Cruise | bcodmo_name | String | cruise_id |
attribute | Cruise | description | String | Cruise identifier |
attribute | Cruise | long_name | String | Cruise |
attribute | Cruise | units | String | unitless |
variable | Date_initial | String | ||
attribute | Date_initial | bcodmo_name | String | date |
attribute | Date_initial | description | String | Sampling initial date (UTC); format: yyyy-mm-dd |
attribute | Date_initial | long_name | String | Date Initial |
attribute | Date_initial | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/ |
attribute | Date_initial | source_name | String | Date_initial |
attribute | Date_initial | time_precision | String | 1970-01-01 |
attribute | Date_initial | units | String | unitless |
variable | Date_final | String | ||
attribute | Date_final | bcodmo_name | String | date |
attribute | Date_final | description | String | Sampling final date (UTC); format: yyyy-mm-dd |
attribute | Date_final | long_name | String | Date Final |
attribute | Date_final | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/ |
attribute | Date_final | time_precision | String | 1970-01-01 |
attribute | Date_final | units | String | unitless |
variable | Site | String | ||
attribute | Site | bcodmo_name | String | site |
attribute | Site | description | String | Site identifier |
attribute | Site | long_name | String | Site |
attribute | Site | units | String | unitless |
variable | latitude | double | ||
attribute | latitude | _CoordinateAxisType | String | Lat |
attribute | latitude | _FillValue | double | NaN |
attribute | latitude | actual_range | double | 5.0, 22.0 |
attribute | latitude | axis | String | Y |
attribute | latitude | bcodmo_name | String | latitude |
attribute | latitude | colorBarMaximum | double | 90.0 |
attribute | latitude | colorBarMinimum | double | -90.0 |
attribute | latitude | description | String | Latitude |
attribute | latitude | ioos_category | String | Location |
attribute | latitude | long_name | String | Latitude |
attribute | latitude | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/LATX/ |
attribute | latitude | standard_name | String | latitude |
attribute | latitude | units | String | degrees_north |
variable | longitude | double | ||
attribute | longitude | _CoordinateAxisType | String | Lon |
attribute | longitude | _FillValue | double | NaN |
attribute | longitude | actual_range | double | -158.0, -155.0 |
attribute | longitude | axis | String | X |
attribute | longitude | bcodmo_name | String | longitude |
attribute | longitude | colorBarMaximum | double | 180.0 |
attribute | longitude | colorBarMinimum | double | -180.0 |
attribute | longitude | description | String | Longitude |
attribute | longitude | ioos_category | String | Location |
attribute | longitude | long_name | String | Longitude |
attribute | longitude | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/LONX/ |
attribute | longitude | standard_name | String | longitude |
attribute | longitude | units | String | degrees_east |
variable | Season | String | ||
attribute | Season | bcodmo_name | String | season |
attribute | Season | description | String | Season |
attribute | Season | long_name | String | Season |
attribute | Season | units | String | unitless |
variable | depth | double | ||
attribute | depth | _CoordinateAxisType | String | Height |
attribute | depth | _CoordinateZisPositive | String | down |
attribute | depth | _FillValue | double | NaN |
attribute | depth | actual_range | double | 5.0, 200.0 |
attribute | depth | axis | String | Z |
attribute | depth | bcodmo_name | String | depth |
attribute | depth | colorBarMaximum | double | 8000.0 |
attribute | depth | colorBarMinimum | double | -8000.0 |
attribute | depth | colorBarPalette | String | TopographyDepth |
attribute | depth | description | String | Sampling depth |
attribute | depth | ioos_category | String | Location |
attribute | depth | long_name | String | Depth |
attribute | depth | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/DEPH/ |
attribute | depth | positive | String | down |
attribute | depth | standard_name | String | depth |
attribute | depth | units | String | m |
variable | Th_flux | String | ||
attribute | Th_flux | bcodmo_name | String | thorium-234 |
attribute | Th_flux | description | String | Integrated 234Th flux; BD = below detection |
attribute | Th_flux | long_name | String | Th Flux |
attribute | Th_flux | units | String | dpm m-2 d-1 |
variable | Th_flux_error | short | ||
attribute | Th_flux_error | _FillValue | short | 32767 |
attribute | Th_flux_error | actual_range | short | 6, 187 |
attribute | Th_flux_error | bcodmo_name | String | thorium-234 |
attribute | Th_flux_error | colorBarMaximum | double | 50.0 |
attribute | Th_flux_error | colorBarMinimum | double | 0.0 |
attribute | Th_flux_error | description | String | Integrated 234Th flux error |
attribute | Th_flux_error | long_name | String | Th Flux Error |
attribute | Th_flux_error | units | String | dpm m-2 d-1 |
The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.