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| Dataset Title: | Amino acid compound specific isotope values for micronekton from R/V Kilo Moana KM1109, KM1123, KM1407, KM1418, and other cruises in the Central North Pacific, Station ALOHA, Tropical Pacific, 2007-2014 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_750972) |
| Information: | Summary
| License
| ISO 19115
| Metadata
| Background
| Data Access Form
| Files
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![[The graph you specified. Please be patient.]](https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_750972.png?Year,delta15N_ppt_v_AIR&.draw=markers&.marker=5%7C5&.color=0x000000&.colorBar=%7C%7C%7C%7C%7C&.bgColor=0xffccccff)
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Attributes {
s {
SpeciesID {
String bcodmo_name "species";
String description "Genus and species name of micronekton specimen";
String long_name "Species ID";
String units "unitless";
}
FamilyID {
String bcodmo_name "family";
String description "Taxonomic family of micronekton specimen";
String long_name "Family ID";
String units "unitless";
}
SpecimenID {
String bcodmo_name "sample";
String description "specimen identifier";
String long_name "Specimen ID";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
String units "unitless";
}
Sample_site {
String bcodmo_name "site";
String description "specimen collection site";
String long_name "Sample Site";
String units "unitless";
}
Year {
Int16 _FillValue 32767;
Int16 actual_range 2007, 2014;
String bcodmo_name "year";
String description "year of collection";
String long_name "Year";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
String units "unitless";
}
Month {
String bcodmo_name "month";
String description "month of collection";
String long_name "Month";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MNTHXXXX/";
String units "unitless";
}
CruiseID {
String bcodmo_name "cruise_id";
String description "cruise identifier";
String long_name "Cruise ID";
String units "unitless";
}
n {
String bcodmo_name "number";
String description "number of specimens in sample";
String long_name "N";
String units "individuals";
}
Length_mm {
String bcodmo_name "length";
String description "length of specimen";
String long_name "Length Mm";
String units "millimeters";
}
Length_Type {
String bcodmo_name "unknown";
String description "Length type is standard length (SL); total length (TL); carapace length (CL); fork length (FL); mantle length (ML)";
String long_name "Length Type";
String units "length";
}
Tissue_Type {
String bcodmo_name "sample_descrip";
String description "Type of tissue samples taken: WMT = white muscle tissue; Whole = the whole specimen;";
String long_name "Tissue Type";
String units "sample_type";
}
delta15N_ppt_v_AIR {
Float32 _FillValue NaN;
Float32 actual_range 1.3, 15.1;
String bcodmo_name "d15N_bio";
String description "ratio of tissue 15N:14N isotopes relative to atmospheric N2";
String long_name "Delta15 N Ppt V AIR";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/IRBO/";
String units "permil";
}
delta13C_ppt_v_VPDB {
Float32 _FillValue NaN;
Float32 actual_range -22.4, 17.3;
String bcodmo_name "d13C_bio";
String description "ratio of tissue 13C:12C isotope relative to VPDB (Vienna Pee Dee Belemnite)";
String long_name "Delta13 C Ppt V VPDB";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/IRBO/";
String units "permil";
}
C_N_mol_mol {
Float32 _FillValue NaN;
Float32 actual_range 2.05, 7.42;
String bcodmo_name "C_to_N";
String description "Carbon to Nitrogen ratio";
String long_name "C N Mol Mol";
String units "unitless";
}
Alanine {
String bcodmo_name "amino_conc";
String description "ratio of tissue Alanine isotopes relative to atmospheric N2";
String long_name "Alanine";
String units "unitless";
}
Glycine {
String bcodmo_name "amino_conc";
String description "ratio of tissue Glycine isotopes relative to atmospheric N2";
String long_name "Glycine";
String units "unitless";
}
Threonine {
String bcodmo_name "amino_conc";
String description "ratio of tissue Threonine isotopes relative to atmospheric N2";
String long_name "Threonine";
String units "unitless";
}
Serine {
String bcodmo_name "amino_conc";
String description "ratio of tissue Serine isotopes relative to atmospheric N2";
String long_name "Serine";
String units "unitless";
}
Valine {
String bcodmo_name "amino_conc";
String description "ratio of tissue Valine isotopes relative to atmospheric N2";
String long_name "Valine";
String units "unitless";
}
Leucine {
String bcodmo_name "amino_conc";
String description "ratio of tissue Leucine isotopes relative to atmospheric N2";
String long_name "Leucine";
String units "unitless";
}
Isoleucine {
String bcodmo_name "amino_conc";
String description "ratio of tissue Isoleucine isotopes relative to atmospheric N2";
String long_name "Isoleucine";
String units "unitless";
}
Proline {
String bcodmo_name "amino_conc";
String description "ratio of tissue Proline isotopes relative to atmospheric N2";
String long_name "Proline";
String units "unitless";
}
Aspartic_acid {
String bcodmo_name "amino_conc";
String description "ratio of tissue Aspartic_acid isotopes relative to atmospheric N2";
String long_name "Aspartic Acid";
String units "unitless";
}
Methionine {
String bcodmo_name "amino_conc";
String description "ratio of tissue Methionine isotopes relative to atmospheric N2";
String long_name "Methionine";
String units "unitless";
}
Glutamic_acid {
String bcodmo_name "amino_conc";
String description "ratio of tissue Glutamic_acid isotopes relative to atmospheric N2";
String long_name "Glutamic Acid";
String units "unitless";
}
Phenylalanine {
String bcodmo_name "amino_conc";
String description "ratio of tissue Phenylalanine isotopes relative to atmospheric N2";
String long_name "Phenylalanine";
String units "unitless";
}
Tyrosine {
String bcodmo_name "amino_conc";
String description "ratio of tissue Tyrosine isotopes relative to atmospheric N2";
String long_name "Tyrosine";
String units "unitless";
}
Lysine {
String bcodmo_name "amino_conc";
String description "ratio of tissue Lysine isotopes relative to atmospheric N2";
String long_name "Lysine";
String units "unitless";
}
Arginine {
String bcodmo_name "amino_conc";
String description "ratio of tissue Arginine isotopes relative to atmospheric N2";
String long_name "Arginine";
String units "unitless";
}
Histidine {
String bcodmo_name "amino_conc";
String description "ratio of tissue Histidine isotopes relative to atmospheric N2";
String long_name "Histidine";
String units "unitless";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
String acquisition_description
"Micronekton were collected using a 10 m2 multiple opening-closing net and
environmental sensing system (MOCNESS) at Station ALOHA (22.75\\u02daN,
158\\u02daW) in March and August of 2011 and in February and September of 2014
with a few samples from other locations around Oahu in 2011 (Choy et al 2015).
Micronekton were collected over five depth zones between the surface and 1500
m: 0 \\u2013 100 m, 100 \\u2013 500 m, 500 \\u2013 700 m, 700 \\u2013 1000 m and
1000 \\u2013 1500 m. At sea, micronekton were sorted and identified to the most
specific taxonomic level, then measured and photographed. Standard length
measurements were taken for fish, carapace length and total length were taken
for crustaceans and both mantle length and total length were taken for
cephalopods. For most fishes, white muscle tissue was removed and frozen in a
cryovial in liquid nitrogen. Small fishes, crustaceans and gelatinous
organisms were frozen whole or individuals were pooled for sufficient tissue
required for stable isotope analysis. Specimens were transferred to a
\\u201180\\u02daC freezer until the samples could be prepared for stable isotope
analysis.
Eighty-three samples (individual specimens or small groups of conspecifics)
were selected for stable isotope analysis. Samples selected for stable isotope
analysis represented different combinations of trophic strategies (suspension
feeding, zooplanktivores, micronektonivores), depth guilds (epipelagic,
mesopelagic, bathypelagic) and migrating behaviors based on available
ecological information (e.g., Clarke 1973, Maynard 1982). Each sample was
freeze-dried and ground using a ceramic mortar and pestle. For bulk tissue
carbon and nitrogen isotope analysis approximately 0.5 mg of each sample was
weighed and placed into a tin boat. Carbon and nitrogen isotopic compositions
were determined using an isotope ratio mass spectrometer (DeltaPlusXP) coupled
to an elemental analyzer (Costech Model 4010). Isotopic ratios are given in
\\u03b4-notation relative to the international standards VPDB and atmospheric
N2. Accuracy and precision were 0.2\\u2030 based on glycine and homogenized
fish tissue reference materials analyzed every ten samples. The isotopic
compositions of the reference materials have been extensively characterized
using NIST certified reference materials in the UH laboratory and verified
independently in other isotope laboratories.
Amino acid-specific stable N isotope composition was determined on
approximately 15 mg (dry weight) of each sample underwent acid hydrolysis and
derivatization yielding trifluoroacetic (TFA) amino acid esters following the
methods of Popp et al. (2007) and Hannides et al. (2009b).; The nitrogen
isotope composition of the trifluoroacetic amino acid esters were determined
using an isotope ratio mass spectrometer (Thermo Scientific Delta V Plus or
Thermo Scientific MAT 253 IRMS) interfaced with a Thermo Finnigan GC-C III.
Samples were injected onto a BPx5 forte capillary column (60m x 0.32 mm x 1.0
\\u00b5m film thickness) at an injector temperature of 180\\u02daC with a
constant helium flow rate of 1.4 mL/min. The column was initially held at
50\\u02daC for two minutes and then increased at a rate of 15\\u02daC/min to
120\\u02daC. Temperature was then increased at a rate of 4\\u02daC/min to
195\\u02daC, then to 255\\u02daC at a rate of 5\\u02daC/min and finally to
300\\u02daC at a rate of 15\\u02daC/min, holding at the final temperature for
eight minutes. Each sample was analyzed in triplicate and co-injected with the
reference compounds norleucine (Nor) and aminoadipic acid (AAA) of known
isotopic composition. A suite of pure amino acids of known nitrogen isotopic
composition (Ala, Thr, Ile, Pro, Glu, and Phe) was also injected every three
runs as an extra measure of accuracy for the instrument. Reference compounds
Nor and AAA, as well as the suite of amino acids, were used to normalize the
measured isotope values. Standard deviation for all amino acids averaged
\\u00b10.4\\u2030 (range 0.0-3.1\\u2030).";
String awards_0_award_nid "560590";
String awards_0_award_number "OCE-1433846";
String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1433846";
String awards_0_funder_name "NSF Division of Ocean Sciences";
String awards_0_funding_acronym "NSF OCE";
String awards_0_funding_source_nid "355";
String awards_0_program_manager "Donald L. Rice";
String awards_0_program_manager_nid "51467";
String cdm_data_type "Other";
String comment
"Amino acid specific isotope values for micronekton
from the Pacific Subtropical Gyre, Station ALOHA approximately 100 km north of Oahu (22.75N, 158W)
Published as Table S1 in Gloeckler et al (2018) L&O, doi: 10.1002/lno.10762
PI: B. Popp (UH)
version: 2018-12-05";
String Conventions "COARDS, CF-1.6, ACDD-1.3";
String creator_email "info@bco-dmo.org";
String creator_name "BCO-DMO";
String creator_type "institution";
String creator_url "https://www.bco-dmo.org/";
String data_source "extract_data_as_tsv version 2.3 19 Dec 2019";
String date_created "2018-12-06T14:23:59Z";
String date_modified "2019-03-18T13:40:35Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.750972.1";
String history
"2024-04-20T16:30:11Z (local files)
2024-04-20T16:30:11Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_750972.das";
String infoUrl "https://www.bco-dmo.org/dataset/750972";
String institution "BCO-DMO";
String instruments_0_acronym "IR Mass Spec";
String instruments_0_dataset_instrument_description "Used to measure carbon and nitrogen isotopic compositions.";
String instruments_0_dataset_instrument_nid "751347";
String 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).";
String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB16/";
String instruments_0_instrument_name "Isotope-ratio Mass Spectrometer";
String instruments_0_instrument_nid "469";
String instruments_0_supplied_name "Thermo Scientific Delta V Plus or Thermo Scientific MAT 253 IRMS";
String instruments_1_acronym "MOCNESS";
String instruments_1_dataset_instrument_description "Used to collect micronekton at specific depth strata.";
String instruments_1_dataset_instrument_nid "750994";
String instruments_1_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.";
String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/NETT0097/";
String instruments_1_instrument_name "MOCNESS";
String instruments_1_instrument_nid "511";
String instruments_2_acronym "Gas Chromatograph";
String instruments_2_dataset_instrument_nid "751350";
String instruments_2_description "Instrument separating gases, volatile substances, or substances dissolved in a volatile solvent by transporting an inert gas through a column packed with a sorbent to a detector for assay. (from SeaDataNet, BODC)";
String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB02/";
String instruments_2_instrument_name "Gas Chromatograph";
String instruments_2_instrument_nid "661";
String instruments_2_supplied_name "Thermo Finnigan GC-C III";
String instruments_3_dataset_instrument_description "Used to measure carbon and nitrogen isotopic compositions.";
String instruments_3_dataset_instrument_nid "751348";
String instruments_3_description "Instruments that quantify carbon, nitrogen and sometimes other elements by combusting the sample at very high temperature and assaying the resulting gaseous oxides. Usually used for samples including organic material.";
String instruments_3_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB01/";
String instruments_3_instrument_name "Elemental Analyzer";
String instruments_3_instrument_nid "546339";
String instruments_3_supplied_name "Costech Model 4010";
String keywords "acid, air, alanine, arginine, aspartic, Aspartic_acid, bco, bco-dmo, biological, C_N_mol_mol, chemical, cruise, CruiseID, data, dataset, delta13, delta13C_ppt_v_VPDB, delta15, delta15N_ppt_v_AIR, dmo, erddap, family, FamilyID, glutamic, Glutamic_acid, glycine, histidine, isoleucine, length, Length_mm, Length_Type, leucine, lysine, management, methionine, mol, month, oceanography, office, phenylalanine, ppt, preliminary, proline, sample, Sample_site, serine, site, species, SpeciesID, specimen, SpecimenID, threonine, tissue, Tissue_Type, type, tyrosine, v, valine, vpdb, year";
String license "https://www.bco-dmo.org/dataset/750972/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/750972";
String param_mapping "{'750972': {}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/750972/parameters";
String people_0_affiliation "University of Hawaii at Manoa";
String people_0_affiliation_acronym "SOEST";
String people_0_person_name "Brian N. Popp";
String people_0_person_nid "51093";
String people_0_role "Principal Investigator";
String people_0_role_type "originator";
String people_1_affiliation "University of South Carolina at Columbia";
String people_1_person_name "Claudia R. Benitez-Nelson";
String people_1_person_nid "51092";
String people_1_role "Co-Principal Investigator";
String people_1_role_type "originator";
String people_2_affiliation "University of Michigan";
String people_2_person_name "Joel D. Blum";
String people_2_person_nid "560587";
String people_2_role "Co-Principal Investigator";
String people_2_role_type "originator";
String people_3_affiliation "University of Hawaii at Manoa";
String people_3_affiliation_acronym "SOEST";
String people_3_person_name "Jeffrey C. Drazen";
String people_3_person_nid "491313";
String people_3_role "Co-Principal Investigator";
String people_3_role_type "originator";
String people_4_affiliation "University of Hawaii at Manoa";
String people_4_affiliation_acronym "SOEST";
String people_4_person_name "Cecelia Hannides";
String people_4_person_nid "537126";
String people_4_role "Co-Principal Investigator";
String people_4_role_type "originator";
String people_5_affiliation "University of Hawaii at Manoa";
String people_5_affiliation_acronym "SOEST";
String people_5_person_name "Kanesa Seraphin";
String people_5_person_nid "537131";
String people_5_role "Co-Principal Investigator";
String people_5_role_type "originator";
String people_6_affiliation "Woods Hole Oceanographic Institution";
String people_6_affiliation_acronym "WHOI BCO-DMO";
String people_6_person_name "Nancy Copley";
String people_6_person_nid "50396";
String people_6_role "BCO-DMO Data Manager";
String people_6_role_type "related";
String project "Hg_Biogeochemistry";
String projects_0_acronym "Hg_Biogeochemistry";
String projects_0_description
"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";
String projects_0_end_date "2017-07";
String projects_0_geolocation "Pacific Subtropical Gyre, Station ALOHA 22.75N 158W; equatorial Pacific (10N 155W, 5N 155W)";
String projects_0_name "Collaborative Research: Isotopic insights to mercury in marine food webs and how it varies with ocean biogeochemistry";
String projects_0_project_nid "560580";
String projects_0_start_date "2014-08";
String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
String publisher_type "institution";
String sourceUrl "(local files)";
String standard_name_vocabulary "CF Standard Name Table v55";
String summary "This dataset contains amino acid compound specific concentrations in micronekton collected during R/V Kilo Moana cruises around the ALOHA observatory (KM1407, KM1418, KM2011, and a few other undocumented cruises). For more information about the ALOHA observatory see: http://aco-ssds.soest.hawaii.edu/. These data were published in Gloeckler et al (2018), Supporting Information file lno10762-sup-0001-suppinfo1.xlsx";
String title "Amino acid compound specific isotope values for micronekton from R/V Kilo Moana KM1109, KM1123, KM1407, KM1418, and other cruises in the Central North Pacific, Station ALOHA, Tropical Pacific, 2007-2014";
String version "1";
String xml_source "osprey2erddap.update_xml() v1.3";
}
}
Data Access Protocol (DAP) and its
selection constraints.
The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.
Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names,
followed by a collection of
constraints (e.g., variable<value),
each preceded by '&' (which is interpreted as "AND").
For details, see the tabledap Documentation.