Dataset: Particle AA CSIA ALOHA: Amino acid specific isotopes in particles

Name: Amino acid compound specific isotope values for particles from R/V Kilo Moana KM1407 and KM1418 in the Central North Pacific, Station ALOHA, Tropical Pacific, Feb and Sept. 2014
Published: 2018-12-05
Keywords: oceans

Cite This Dataset

DOI:10.1575/1912/bco-dmo.751313.1

Spatial Extent: N:22.75 E:-158 S:22.75 W:-158

Temporal Extent: 2014-02-19 - 2014-09-11

Project:

Collaborative Research: Isotopic insights to mercury in marine food webs and how it varies with ocean biogeochemistry (Hg_Biogeochemistry)

Principal Investigator:

Brian N. Popp (University of Hawaiʻi at Mānoa, SOEST)

Co-Principal Investigator:

Claudia R. Benitez-Nelson (University of South Carolina at Columbia)

Joel D. Blum (University of Michigan)

Jeffrey C. Drazen (University of Hawaiʻi at Mānoa, SOEST)

Cecelia Hannides (University of Hawaiʻi at Mānoa, SOEST)

Kanesa Seraphin (University of Hawaiʻi at Mānoa, SOEST)

BCO-DMO Data Manager:

Nancy Copley (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2018-12-05

Restricted:

Validated:

Yes

Current State:

Final no updates expected

Amino acid compound specific isotope values for particles from R/V Kilo Moana KM1407 and KM1418 in the Central North Pacific, Station ALOHA, Tropical Pacific, Feb and Sept. 2014

Abstract:

This dataset contains amino acid compound specific nitrogen isotope ratios in particles collected during R/V Kilo Moana cruises around Station ALOHA (KM1407 and KM1418). 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-0002-suppinfo2.xlsx

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Archival Copy

Version Date	Archive	Persistent Identifier (PID)	Date PID Issued
2018-12-05	Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)	10.1575/1912/bco-dmo.751313.1	2019-03-18

Description

This dataset contains amino acid compound specific nitrogen isotope ratios in particles collected during R/V Kilo Moana cruises around Station ALOHA (KM1407 and KM1418).

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-0002-suppinfo2.xlsx

Methods & Sampling

Amino acid-specific stable N isotope composition was determined on samples that were hydrolyzed, derivatized, and analyzed according to Popp et al. (2007) and Hannides et al. (2009). Briefly, size-fractioned zooplankton material and target zooplankton taxa were hydrolyzed using trace metal-grade 6 M HCl and the resulting AAs purified using cation exchange chromatography. The samples were then esterified using 4:1 isopropanol:acetyl chloride and derivatized using 3:1 methylene chloride:trifluoroacetyl anhydride. The resulting trifluoroacetyl and isopropyl ester (TFA) derivatives were purified using chloroform extraction and stored at -20°C for up to 1 month before analysis. This method yielded information for the following AAs: alanine (Ala), glycine (Gly), isoleucine (Ile), leucine (Leu), lysine (Lys), methionine (Met), phenylalanine (Phe), proline (Pro), serine (Ser), threonine (Thr), tyrosine (Tyr), and valine (Val). During acid hydrolysis asparagine (Asn) is converted to aspartic acid (Asp) and glutamine (Gln) is converted to glutamic acid (Glu), thus we also report information on the combined pools, termed Asx (Asn+Asp) and Glx (Gln+Glu), respectively.

TFA derivatives of AAs were analyzed for stable N isotope composition (d15NAA values) following Hannides et al. (2013). AAs were analyzed using a Thermo Scientific Delta V Plus IRMS interfaced to a trace gas chromatograph (GC) fitted with a 60 m BPx5 capillary column through a GC-C III combustion furnace (980°C), reduction furnace (680°C) and liquid nitrogen cold trap. d15NAA values were measured on 3 – 5 replicate injections with norleucine and aminoadipic acid with known d15N values as internal reference materials co-injected on each run.

A composite source d15NAA value was calculated by a weighted averaging a suite of AAs (e.g., d15NSrc-AA = average of Gly, Lys, Phe, and Ser d15N values). Weighting was based the analytical uncertainty calculated from at least triplicate analysis of each sample.

Data Processing Description

BCO-DMO Processing Notes:
- added conventional header with dataset name, PI name, version date
- modified parameter names to conform with BCO-DMO naming conventions
- added comment column

Data Files

File
particle_amino_acids.csv (Comma Separated Values (.csv), 696 bytes) MD5:935de45939c79dd5dd1eb959c54838f5 Primary data file for dataset ID 751313

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Division of Ocean Sciences	OCE-1433846

Deployments

Deployment	Synonyms	Start Date	Platform	Investigator
KM1407		2014-02-19	R/V Kilo Moana	Jeffrey C. Drazen (Chief Scientist)	data info
KM1418		2014-08-29	R/V Kilo Moana	Jeffrey C. Drazen (Chief Scientist)	data info

Instruments

Gas Chromatograph

Supplied Name: Thermo Scientific Delta V Plus IRMS

Supplied Description:

Used to analyze amino acids.

Instrument Type

Generic Name: Gas Chromatograph

Community Identifier: http://vocab.nerc.ac.uk/collection/L05/current/LAB02/

Generic 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)

Ion Chromatograph

Supplied Name:

Supplied Description:

Amino acids were purified using cation exchange chromatography.

Instrument Type

Generic Name: Ion Chromatograph

Generic Description:

Ion chromatography is a form of liquid chromatography that measures concentrations of ionic species by separating them based on their interaction with a resin. Ionic species separate differently depending on species type and size. Ion chromatographs are able to measure concentrations of major anions, such as fluoride, chloride, nitrate, nitrite, and sulfate, as well as major cations such as lithium, sodium, ammonium, potassium, calcium, and magnesium in the parts-per-billion (ppb) range. (from http://serc.carleton.edu/microbelife/research_methods/biogeochemical/ic.html)

McLane Large Volume Pumping System WTS-LV

Supplied Name:

Supplied Description:

Particles were collected using in situ filtration.

Instrument Type

Generic Name: McLane Large Volume Pumping System WTS-LV

Acronym: WTS-LV

Generic Description:

The WTS-LV is a Water Transfer System (WTS) Large Volume (LV) pumping instrument designed and manufactured by McLane Research Labs (Falmouth, MA, USA). It is a large-volume, single-event sampler that collects suspended and dissolved particulate samples in situ.

Ambient water is drawn through a modular filter holder onto a 142-millimeter (mm) membrane without passing through the pump. The standard two-tier filter holder provides prefiltering and size fractioning. Collection targets include chlorophyll maximum, particulate trace metals, and phytoplankton. It features different flow rates and filter porosity to support a range of specimen collection. Sampling can be programmed to start at a scheduled time or begin with a countdown delay. It also features a dynamic pump speed algorithm that adjusts flow to protect the sample as material accumulates on the filter. Several pump options range from 0.5 to 30 liters per minute, with a max volume of 2,500 to 36,000 liters depending on the pump and battery pack used. The standard model is depth rated to 5,500 meters, with a deeper 7,000-meter option available. The operating temperature is -4 to 35 degrees Celsius.

The WTS-LV is available in four different configurations: Standard, Upright, Bore Hole, and Dual Filter Sampler. The high-capacity upright WTS-LV model provides three times the battery life of the standard model. The Bore-Hole WTS-LV is designed to fit through a narrow opening such as a 30-centimeter borehole. The dual filter WTS-LV features two vertical intake 142 mm filter holders to allow simultaneous filtering using two different porosities.

Parameters

Date and time formats are described in python strftime() syntax.

Supplied Name	Supplied description	Supplied Units	Standard Name
Particle_size	particle size	microns	diameter
Sample	sample identifier	unitless	sample
Depth	sample depth	meters	depth
delta15N	ratio of tissue 15N:14N isotopes	permil	d15N
delta15N_stdev	standard deviation of ratio of tissue 15N:14N isotopes	permil	d15N
comment	comments	unitless	comment