http://lod.bco-dmo.org/id/dataset/880041
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2022-09-12
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Particle d15N values of amino acids from EXPORTS cruises SR1812 on R/V Sally Ride and RR1813 on R/V Roger Revelle in August to September 2018
2022-09-12
publication
2022-09-12
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2022-09-30
publication
https://doi.org/10.26008/1912/bco-dmo.880041.1
Hilary G. Close
University of Miami Rosenstiel School of Marine and Atmospheric Science
principalInvestigator
Brian N. Popp
University of Hawaiʻi at Mānoa
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Wojtal, P. K., Popp, B. N., Close, H. G. (2022) Particle d15N values of amino acids from EXPORTS cruises SR1812 on R/V Sally Ride and RR1813 on R/V Roger Revelle in August to September 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-09-12 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.880041.1 [access date]
Particle d15N values of amino acids Dataset Description: Methods and Sampling: <p><em>In situ</em> pump filtration was performed using large volume pumps (WTS-LV; McLane Research Laboratories, Inc.) outfitted with mini-MULVFS (Multiple Unit Large Volume in-situ Filtration System) filter holders (Bishop et al. 2012). Pumps were loaded with filter stacks of either 3 filter pore sizes (51- and 5-um acid cleaned Nitex screens and 1 um pre-combusted quartz fiber filter) or 4 filter pore sizes (51- and 6-um acid cleaned Nitex screens, a double layer of 1 um pre-combusted quartz fiber filters, and a double layer of 0.3 um of pre-combusted glass fiber filters). Samples were frozen at -80 degrees Celsius until laboratory analysis. Sediment trap collection was performed using surface tethered sediment traps (STT) and neutrally buoyant sediment traps (NBST). Particles were collected in polycarbonate tubes with a collection area of 0.0113 m² and triggered to close at the end of the sampling period. Samples were collected in 500 mL of 70 ppt salinity, 0.1% formaldehyde-poisoned brine, buffered to pH 8.5 with borate and overlain with 1‑um filtered surface seawater. After collection and allowing particles to sink to the bottom of the tube on board the ship for an hour, brine was filtered through a 335‑um polyester screen and rotary wet split onto pre-combusted glass fiber filters with a pore size of 0.7 um. Samples were frozen at -80 degrees Celsius until laboratory analysis.</p>
<p>6 um and 51 um Nitex filters were washed down onto 0.7 um GFFs and inspected using a dissecting microscope, removing foreign (non-natural) material. Samples were freeze-dried and then stored at -20 degrees Celsius for the remainder of preparation. Samples were hydrolyzed using 6N HCl at 110 degrees Celsius for 20 hours, filtered, purified (to remove organic molecules other than amino acids and amino acid like molecules) using cation exchange chromatography. Amino acids in samples were derivatized to their isopropyl ester-trifluoroacetyl derivatives in a two-step derivatization: esterification with 4:1 isopropanol:acetyl chloride (110 degrees C, 60 minutes) and acetylation with 3:1 dichloromethane:trifluoroacetic anhydride (100 degrees C, 15 minutes), with the headspace exacuated with N₂ prior to each reaction. They were de-salted using phosphate buffer and chloroform and then re-acetylated. The solvent was exchanged for ethyl acetate immediately prior to analysis.</p>
<p>Analyses were carried out using a Thermo Fisher Scientific Trace 1310 Gas Chromatograph (GC) coupled to a MAT 253 Plus Isotope Ratio Mass Spectrometer (IRMS) through a Thermo Fisher GC Isolink II system with a combined oxidation/reduction reactor held at 1000 degrees C, a liquid nitrogen trap, and a Conflo IV open split interface.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1830016 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1830016
completed
Hilary G. Close
University of Miami Rosenstiel School of Marine and Atmospheric Science
305-421-4306 ext. 54306
46000 Rickenbacker Causeway
Miami
FL
33149
USA
hclose@miami.edu
pointOfContact
Brian N. Popp
University of Hawaiʻi at Mānoa
808-956-6206
Department of Earth Sciences 1680 East-West Road
Honolulu
HI
96822
USA
popp@hawaii.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Cruise
Cruise_SampleID
R2R_Event
Latitude
Longitude
ISO_DateTime_UTC
Date
Time
Depth
Size_Fraction_Min
Size_Fraction_Max
Volume_Filtered
Start_R2R_Event
End_R2R_Event
Deploy_Latitude
Deploy_Longitude
Resurfaced_Latitude
Resurfaced_Longitude
Recover_Latitude
Recover_Longitude
ISO_DateTime_UTC_Deployed
Date_Deployed
Time_Deployed
ISO_DateTime_UTC_AtDepth
Date_AtDepth
Time_AtDepth
ISO_DateTime_UTC_LidsClosed
Date_LidsClosed
Time_LidsClosed
ISO_DateTime_UTC_Resurfaced
Date_Resurfaced
Time_Resurfaced
ISO_DateTime_UTC_Recovered
Date_Recovered
Time_Recovered
Target_Depth
Actual_Depth
Time_Elapsed_Deploy_to_Recover
Flux
d15N_Ala
d15N_Gly
d15N_Thr
d15N_Ser
d15N_Val
d15N_Leu
d15N_Iso
d15N_Pro
d15N_Asx
d15N_Met
d15N_Glx
d15N_Phe
d15N_Tyr
d15N_Lys
SD_d15N_Ala
SD_d15N_Gly
SD_d15N_Thr
SD_d15N_Ser
SD_d15N_Val
SD_d15N_Leu
SD_d15N_Iso
SD_d15N_Pro
SD_d15N_Asx
SD_d15N_Met
SD_d15N_Glx
SD_d15N_Phe
SD_d15N_Tyr
SD_d15N_Lys
d15N_THAA
Total_AA_Conc
Total_AA_Flux
Total_AA_OnFilter
Thermo Fisher Scientific Trace 1310 Gas Chromatograph
MAT 253 Plus Isotope Ratio Mass Spectrometer (IRMS)
large volume pumps (WTS-LV; McLane Research Laboratories, Inc.)
mini-MULVFS (Multiple Unit Large Volume in-situ Filtration System)
neutrally buoyant sediment traps (NBST)
surface tethered sediment traps (STT)
theme
None, User defined
Cruise identfier
sample identification
event
latitude
longitude
ISO_DateTime_UTC
date
time of day
depth
filter_size
volume
time_elapsed
flux
d15N
amino acid concentration
featureType
BCO-DMO Standard Parameters
Gas Chromatograph
Isotope-ratio Mass Spectrometer
McLane Large Volume Pumping System WTS-LV
Multiple Unit Large Volume Filtration System
Neutrally Buoyant Sediment Trap
Sediment Trap
instrument
BCO-DMO Standard Instruments
RR1813
SR1812
service
Deployment Activity
Subarctic North Pacific near Station PAPA (50 N, 144.8 W)
place
Locations
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
EXport Processes in the Ocean from Remote Sensing
http://oceanexports.org/
EXport Processes in the Ocean from Remote Sensing
EXport Processes in the Ocean from Remote Sensing (EXPORTS) is a large-scale NASA-led field campaign that will provide critical information for quantifying the export and fate of upper ocean net primary production (NPP) using satellite observations and state of the art ocean technologies.
Ocean ecosystems play a critical role in the Earth’s carbon cycle and the quantification of their impacts for both present conditions and for predictions into the future remains one of the greatest challenges in oceanography. The goal of the EXport Processes in the Ocean from Remote Sensing (EXPORTS) Science Plan is to develop a predictive understanding of the export and fate of global ocean net primary production (NPP) and its implications for present and future climates. The achievement of this goal requires a quantification of the mechanisms that control the export of carbon from the euphotic zone as well as its fate in the underlying "twilight zone" where some fraction of exported carbon will be sequestered in the ocean’s interior on time scales of months to millennia. In particular, EXPORTS will advance satellite diagnostic and numerical prognostic models by comparing relationships among the ecological, biogeochemical and physical oceanographic processes that control carbon cycling across a range of ecosystem and carbon cycling states. EXPORTS will achieve this through a combination of ship and robotic field sampling, satellite remote sensing and numerical modeling. Through a coordinated, process-oriented approach, EXPORTS will foster new insights on ocean carbon cycling that maximizes its societal relevance through the achievement of U.S. and International research agency goals and will be a key step towards our understanding of the Earth as an integrated system.
EXPORTS
largerWorkCitation
program
Collaborative Research: Isotopic Indicators for Mechanisms of Organic Matter Degradation in the Northeast Pacific (EXPORTS)
http://oceanexports.org/projects/project_id_0000_close.html
Collaborative Research: Isotopic Indicators for Mechanisms of Organic Matter Degradation in the Northeast Pacific (EXPORTS)
<p><em>NSF Award Abstract:</em><br />
The biological pump is largely responsible for the vertical transport of organic carbon from the surface to the ocean interior. However, only a small fraction of organic material produced in surface waters is sequestered in the deep ocean. The rest is consumed, or respired, by bacteria and larger organisms. The overarching goal of the proposed work is to characterize the relative influences of bacteria versus larger organisms on the degradation of organic material with depth. Guided by recent results from the subtropical Pacific, the investigators will use measurements of stable isotopes of nitrogen in different amino acids (compound-specific isotopic analysis of amino acids, known as AA-CSIA), along with measurements of the abundances of different forms of amino acids, and other parameters derived from these analyses to identify how the partitioning and flux of large and small particles are affected by different degradation processes. By improving the interpretive power of the AA-CSIA technique the investigators propose to determine: 1) the relative importance of microbial and zooplankton consumption on the efficiency of the biological carbon pump in the subarctic northeast Pacific, and 2) how much microbially-altered small particles fuel the metabolisms of mid-water zooplankton. This work capitalizes on an existing, comprehensive field program (NASA EXPORTS) specifically focused on building a predictive framework relating surface ocean properties to the vertical flux of organic carbon. The tremendous amount of data to be collected on all aspects of the biological pump as part of the EXPORTS program will aid the development and interpretation of the investigators' amino acid isotopic tool. Results will be broadly communicated via production and distribution of several episodes of Voice of the Sea, a local television program that will air in Hawaii and across many Pacific islands. Episodes also will be posted online and publicized through social media to the south Florida community. This project will support a Ph.D. student and an undergraduate student at University of Miami, which serves a 25% Hispanic population, and an M.S. student and an undergraduate student at University of Hawaii, which is a designated minority-serving institution.</p>
<p>The proposed work introduces a new geochemical framework to distinguish microbial versus zooplankton alteration of marine organic matter. Piloted on samples from the subtropical Pacific, this approach interrogates unamended sinking material directly, using amino acid compound-specific isotopic analysis (AA-CSIA) to determine the progressive, cumulative impact of microbial and zooplankton degradative pathways. The proposed work (1) will extend this interpretive framework to explicitly define end-member signatures such as fecal pellets and will apply this refined method to a study site in the subarctic northeast Pacific to (2) determine the vertical progression of degradative mechanisms in an oceanographic location with contrasting productivity and vertical length scales of flux attenuation and (3) determine whether microbially- degraded biomass is important for fueling midwater metazoans under contrasting carbon flux conditions. The proposed work will be conducted in collaboration with the NASA EXPORTS program at the Ocean Station Papa time-series site. Teaming with this program presents a unique opportunity to refine AA-CSIA interpretation in parallel with intensive data collection defining productivity, particle size distribution and flux, and numerous biological parameters. In comparing subtropical and subarctic Pacific locations, the proposed work will test how differences in productivity and plankton community structure influence vertical patterns of consumption and alteration of phytodetritus by microbes and zooplankton, from surface to mesopelagic depths.</p>
<p>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</p>
EXPORTS Isotopes
largerWorkCitation
project
eng; USA
oceans
Subarctic North Pacific near Station PAPA (50 N, 144.8 W)
-145.297716
-144.80516
50.046084
50.672621
2018-08-15
2018-09-05
Station Papa, Northeast Pacific
0
BCO-DMO catalogue of parameters from Particle d15N values of amino acids from EXPORTS cruises SR1812 on R/V Sally Ride and RR1813 on R/V Roger Revelle in August to September 2018
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/880302.rdf
Name: Cruise
Units: Unitless
Description: <p>Cruise designation</p>
http://lod.bco-dmo.org/id/dataset-parameter/880303.rdf
Name: Cruise_SampleID
Units: Unitless
Description: <p>Sample Number given to each filter</p>
http://lod.bco-dmo.org/id/dataset-parameter/880304.rdf
Name: R2R_Event
Units: Unitless
Description: <p>R2R catalog identifier for this cruise</p>
http://lod.bco-dmo.org/id/dataset-parameter/880305.rdf
Name: Latitude
Units: Decimal degrees North
Description: <p>Latitude in decimal degrees North</p>
http://lod.bco-dmo.org/id/dataset-parameter/880306.rdf
Name: Longitude
Units: Decimal degrees West
Description: <p>Longitude in decimal degrees West</p>
http://lod.bco-dmo.org/id/dataset-parameter/880307.rdf
Name: ISO_DateTime_UTC
Units: Unitless
Description: <p>Date and time (UTC) of sampling in ISO8601 format: YYYY-MM-DDThh:mm:ssZ</p>
http://lod.bco-dmo.org/id/dataset-parameter/880308.rdf
Name: Date
Units: Unitless
Description: <p>Sampling date (UTC); format: YYYY-MM-DD</p>
http://lod.bco-dmo.org/id/dataset-parameter/880309.rdf
Name: Time
Units: Unitless
Description: <p>Sampling time (UTC); format: hh:mm:ss</p>
http://lod.bco-dmo.org/id/dataset-parameter/880310.rdf
Name: Depth
Units: meters (m)
Description: <p>Depth of pump deployment</p>
http://lod.bco-dmo.org/id/dataset-parameter/880311.rdf
Name: Size_Fraction_Min
Units: micrometers (mm)
Description: <p>Minimum size fraction captured on filter</p>
http://lod.bco-dmo.org/id/dataset-parameter/880312.rdf
Name: Size_Fraction_Max
Units: micrometers (mm)
Description: <p>Maximum size fraction captured on filter</p>
http://lod.bco-dmo.org/id/dataset-parameter/880313.rdf
Name: Volume_Filtered
Units: liters (L)
Description: <p>Volume of water filtered through the filter</p>
http://lod.bco-dmo.org/id/dataset-parameter/880314.rdf
Name: Start_R2R_Event
Units: Unitless
Description: <p>R2R catalog identifier for the start of the sediment trap deployment for this cruise</p>
http://lod.bco-dmo.org/id/dataset-parameter/880315.rdf
Name: End_R2R_Event
Units: Unitless
Description: <p>R2R catalog identifier for the end of the sediment trap deployment for this cruise</p>
http://lod.bco-dmo.org/id/dataset-parameter/880316.rdf
Name: Deploy_Latitude
Units: Decimal degrees North
Description: <p>Latitude at time of sediment trap deployment in decimal degrees North</p>
http://lod.bco-dmo.org/id/dataset-parameter/880317.rdf
Name: Deploy_Longitude
Units: Decimal degrees West
Description: <p>Longitude at time of sediment trap deployment in decimal degrees West</p>
http://lod.bco-dmo.org/id/dataset-parameter/880318.rdf
Name: Resurfaced_Latitude
Units: Decimal degrees North
Description: <p>Latitude at time of sediment trap resurface in decimal degrees North</p>
http://lod.bco-dmo.org/id/dataset-parameter/880319.rdf
Name: Resurfaced_Longitude
Units: Decimal degrees West
Description: <p>Longitude at time of sediment trap resurface in decimal degrees West</p>
http://lod.bco-dmo.org/id/dataset-parameter/880320.rdf
Name: Recover_Latitude
Units: Decimal degrees North
Description: <p>Latitude at time of sediment trap recovery in decimal degrees North</p>
http://lod.bco-dmo.org/id/dataset-parameter/880321.rdf
Name: Recover_Longitude
Units: Decimal degrees West
Description: <p>Longitude at time of sediment trap recovery in decimal degrees West</p>
http://lod.bco-dmo.org/id/dataset-parameter/880322.rdf
Name: ISO_DateTime_UTC_Deployed
Units: Unitless
Description: <p>Date and time (UTC) of sediment trap deployment in ISO8601 format: YYYY-MM-DDThh:mm:ssZ</p>
http://lod.bco-dmo.org/id/dataset-parameter/880323.rdf
Name: Date_Deployed
Units: Unitless
Description: <p>Sediment trap deployment date (UTC); format: YYYY-MM-DD</p>
http://lod.bco-dmo.org/id/dataset-parameter/880324.rdf
Name: Time_Deployed
Units: Unitless
Description: <p>Sediment trap deployment time (UTC); format: hh:mm:ss</p>
http://lod.bco-dmo.org/id/dataset-parameter/880325.rdf
Name: ISO_DateTime_UTC_AtDepth
Units: Unitless
Description: <p>Date and time (UTC) of sediment trap reaching sampling depth in ISO8601 format: YYYY-MM-DDThh:mm:ssZ</p>
http://lod.bco-dmo.org/id/dataset-parameter/880326.rdf
Name: Date_AtDepth
Units: Unitless
Description: <p>Sediment trap reaching sampling depth date (UTC); format: YYYY-MM-DD</p>
http://lod.bco-dmo.org/id/dataset-parameter/880327.rdf
Name: Time_AtDepth
Units: Unitless
Description: <p>Sediment trap reaching sampling depth time (UTC); format: hh:mm:ss</p>
http://lod.bco-dmo.org/id/dataset-parameter/880328.rdf
Name: ISO_DateTime_UTC_LidsClosed
Units: Unitless
Description: <p>Date and time (UTC) of sediment trap tube lids closing in ISO8601 format: YYYY-MM-DDThh:mm:ssZ</p>
http://lod.bco-dmo.org/id/dataset-parameter/880329.rdf
Name: Date_LidsClosed
Units: Unitless
Description: <p>Sediment trap tube lids closing date (UTC); format: YYYY-MM-DD</p>
http://lod.bco-dmo.org/id/dataset-parameter/880330.rdf
Name: Time_LidsClosed
Units: Unitless
Description: <p>Sediment trap tube lids closing time (UTC); format: hh:mm:ss</p>
http://lod.bco-dmo.org/id/dataset-parameter/880331.rdf
Name: ISO_DateTime_UTC_Resurfaced
Units: Unitless
Description: <p>Date and time (UTC) of sediment trap resurfacing in ISO8601 format: YYYY-MM-DDThh:mm:ssZ</p>
http://lod.bco-dmo.org/id/dataset-parameter/880332.rdf
Name: Date_Resurfaced
Units: Unitless
Description: <p>Sediment trap resurfacing date (UTC); format: YYYY-MM-DD</p>
http://lod.bco-dmo.org/id/dataset-parameter/880333.rdf
Name: Time_Resurfaced
Units: Unitless
Description: <p>Sediment resurfacing time (UTC); format: hh:mm:ss</p>
http://lod.bco-dmo.org/id/dataset-parameter/880334.rdf
Name: ISO_DateTime_UTC_Recovered
Units: Unitless
Description: <p>Date and time (UTC) of sediment trap recovery in ISO8601 format: YYYY-MM-DDThh:mm:ssZ</p>
http://lod.bco-dmo.org/id/dataset-parameter/880335.rdf
Name: Date_Recovered
Units: Unitless
Description: <p>Sediment trap recovery date (UTC); format: YYYY-MM-DD</p>
http://lod.bco-dmo.org/id/dataset-parameter/880336.rdf
Name: Time_Recovered
Units: Unitless
Description: <p>Sediment recovery time (UTC); format: hh:mm:ss</p>
http://lod.bco-dmo.org/id/dataset-parameter/880337.rdf
Name: Target_Depth
Units: meters (m)
Description: <p>Target sampling depth for sediment traps</p>
http://lod.bco-dmo.org/id/dataset-parameter/880338.rdf
Name: Actual_Depth
Units: meters (m)
Description: <p>Actual sampling depth for sediment traps</p>
http://lod.bco-dmo.org/id/dataset-parameter/880339.rdf
Name: Time_Elapsed_Deploy_to_Recover
Units: days (d)
Description: <p>Time elapsed between sediment trap being deployed and sediment trap being recovered</p>
http://lod.bco-dmo.org/id/dataset-parameter/880340.rdf
Name: Flux
Units: square meters per day (m2/d)
Description: <p>Area of collection of the sediment traps divided by the number of days of collection</p>
http://lod.bco-dmo.org/id/dataset-parameter/880341.rdf
Name: d15N_Ala
Units: permil relative to AIR (‰)
Description: <p>The nitrogen isotopic composition of alanine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880342.rdf
Name: d15N_Gly
Units: permil relative to AIR (‰)
Description: <p>The nitrogen isotopic composition of glycine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880343.rdf
Name: d15N_Thr
Units: permil relative to AIR (‰)
Description: <p>The nitrogen isotopic composition of threonine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880344.rdf
Name: d15N_Ser
Units: permil relative to AIR (‰)
Description: <p>The nitrogen isotopic composition of serine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880345.rdf
Name: d15N_Val
Units: permil relative to AIR (‰)
Description: <p>The nitrogen isotopic composition of valine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880346.rdf
Name: d15N_Leu
Units: permil relative to AIR (‰)
Description: <p>The nitrogen isotopic composition of leucine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880347.rdf
Name: d15N_Iso
Units: permil relative to AIR (‰)
Description: <p>The nitrogen isotopic composition of isoleucine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880348.rdf
Name: d15N_Pro
Units: permil relative to AIR (‰)
Description: <p>The nitrogen isotopic composition of proline</p>
http://lod.bco-dmo.org/id/dataset-parameter/880349.rdf
Name: d15N_Asx
Units: permil relative to AIR (‰)
Description: <p>The nitrogen isotopic composition of aspartic acid and asparagine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880350.rdf
Name: d15N_Met
Units: permil relative to AIR (‰)
Description: <p>The nitrogen isotopic composition of methionine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880351.rdf
Name: d15N_Glx
Units: permil relative to AIR (‰)
Description: <p>The nitrogen isotopic composition of glutamic acid and glutamine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880352.rdf
Name: d15N_Phe
Units: permil relative to AIR (‰)
Description: <p>The nitrogen isotopic composition of phenylalanine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880353.rdf
Name: d15N_Tyr
Units: permil relative to AIR (‰)
Description: <p>The nitrogen isotopic composition of tyrosine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880354.rdf
Name: d15N_Lys
Units: permil relative to AIR (‰)
Description: <p>The nitrogen isotopic composition of lysine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880355.rdf
Name: SD_d15N_Ala
Units: permil relative to AIR (‰)
Description: <p>The standard deviation of the nitrogen isotopic composition of alanine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880356.rdf
Name: SD_d15N_Gly
Units: permil relative to AIR (‰)
Description: <p>The standard deviation of the nitrogen isotopic composition of glycine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880357.rdf
Name: SD_d15N_Thr
Units: permil relative to AIR (‰)
Description: <p>The standard deviation of the nitrogen isotopic composition of threonine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880358.rdf
Name: SD_d15N_Ser
Units: permil relative to AIR (‰)
Description: <p>The standard deviation of the nitrogen isotopic composition of serine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880359.rdf
Name: SD_d15N_Val
Units: permil relative to AIR (‰)
Description: <p>The standard deviation of the nitrogen isotopic composition of valine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880360.rdf
Name: SD_d15N_Leu
Units: permil relative to AIR (‰)
Description: <p>The standard deviation of the nitrogen isotopic composition of leucine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880361.rdf
Name: SD_d15N_Iso
Units: permil relative to AIR (‰)
Description: <p>The standard deviation of the nitrogen isotopic composition of isoleucine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880362.rdf
Name: SD_d15N_Pro
Units: permil relative to AIR (‰)
Description: <p>The standard deviation of the nitrogen isotopic composition of proline</p>
http://lod.bco-dmo.org/id/dataset-parameter/880363.rdf
Name: SD_d15N_Asx
Units: permil relative to AIR (‰)
Description: <p>The standard deviation of the nitrogen isotopic composition of aspartic acid and asparagine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880364.rdf
Name: SD_d15N_Met
Units: permil relative to AIR (‰)
Description: <p>The standard deviation of the nitrogen isotopic composition of methionine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880365.rdf
Name: SD_d15N_Glx
Units: permil relative to AIR (‰)
Description: <p>The standard deviation of the nitrogen isotopic composition of glutamic acid and glutamine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880366.rdf
Name: SD_d15N_Phe
Units: permil relative to AIR (‰)
Description: <p>The standard deviation of the nitrogen isotopic composition of phenylalanine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880367.rdf
Name: SD_d15N_Tyr
Units: permil relative to AIR (‰)
Description: <p>The standard deviation of the nitrogen isotopic composition of tyrosine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880368.rdf
Name: SD_d15N_Lys
Units: permil relative to AIR (‰)
Description: <p>The standard deviation of the nitrogen isotopic composition of lysine</p>
http://lod.bco-dmo.org/id/dataset-parameter/880369.rdf
Name: d15N_THAA
Units: permil relative to AIR (‰)
Description: <p>The isotopic compositon of the molar weighted sum of measured amino acids</p>
http://lod.bco-dmo.org/id/dataset-parameter/880370.rdf
Name: Total_AA_Conc
Units: micromoles per cubic meter (mmol/m3)
Description: <p>The sum of all measured amino acids in samples collected by in situ pump filtration</p>
http://lod.bco-dmo.org/id/dataset-parameter/880371.rdf
Name: Total_AA_Flux
Units: nanomoles per square meter per day (nmol/m2/d)
Description: <p>The sum of all measured amino acids in samples collected by sediment trap</p>
http://lod.bco-dmo.org/id/dataset-parameter/880372.rdf
Name: Total_AA_OnFilter
Units: nanomoles (nmol)
Description: <p>The sum of all measured amino acids in samples on the entire filter</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
16207
https://darchive.mblwhoilibrary.org/bitstream/1912/29377/1/dataset-880041_particle-d15n-values-amino-acids__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.880041.1
download
onLine
dataset
<p><em>In situ</em> pump filtration was performed using large volume pumps (WTS-LV; McLane Research Laboratories, Inc.) outfitted with mini-MULVFS (Multiple Unit Large Volume in-situ Filtration System) filter holders (Bishop et al. 2012). Pumps were loaded with filter stacks of either 3 filter pore sizes (51- and 5-um acid cleaned Nitex screens and 1 um pre-combusted quartz fiber filter) or 4 filter pore sizes (51- and 6-um acid cleaned Nitex screens, a double layer of 1 um pre-combusted quartz fiber filters, and a double layer of 0.3 um of pre-combusted glass fiber filters). Samples were frozen at -80 degrees Celsius until laboratory analysis. Sediment trap collection was performed using surface tethered sediment traps (STT) and neutrally buoyant sediment traps (NBST). Particles were collected in polycarbonate tubes with a collection area of 0.0113 m² and triggered to close at the end of the sampling period. Samples were collected in 500 mL of 70 ppt salinity, 0.1% formaldehyde-poisoned brine, buffered to pH 8.5 with borate and overlain with 1‑um filtered surface seawater. After collection and allowing particles to sink to the bottom of the tube on board the ship for an hour, brine was filtered through a 335‑um polyester screen and rotary wet split onto pre-combusted glass fiber filters with a pore size of 0.7 um. Samples were frozen at -80 degrees Celsius until laboratory analysis.</p>
<p>6 um and 51 um Nitex filters were washed down onto 0.7 um GFFs and inspected using a dissecting microscope, removing foreign (non-natural) material. Samples were freeze-dried and then stored at -20 degrees Celsius for the remainder of preparation. Samples were hydrolyzed using 6N HCl at 110 degrees Celsius for 20 hours, filtered, purified (to remove organic molecules other than amino acids and amino acid like molecules) using cation exchange chromatography. Amino acids in samples were derivatized to their isopropyl ester-trifluoroacetyl derivatives in a two-step derivatization: esterification with 4:1 isopropanol:acetyl chloride (110 degrees C, 60 minutes) and acetylation with 3:1 dichloromethane:trifluoroacetic anhydride (100 degrees C, 15 minutes), with the headspace exacuated with N₂ prior to each reaction. They were de-salted using phosphate buffer and chloroform and then re-acetylated. The solvent was exchanged for ethyl acetate immediately prior to analysis.</p>
<p>Analyses were carried out using a Thermo Fisher Scientific Trace 1310 Gas Chromatograph (GC) coupled to a MAT 253 Plus Isotope Ratio Mass Spectrometer (IRMS) through a Thermo Fisher GC Isolink II system with a combined oxidation/reduction reactor held at 1000 degrees C, a liquid nitrogen trap, and a Conflo IV open split interface.</p>
Specified by the Principal Investigator(s)
<p><strong>Data Processing:</strong><br />
Data were processed through Thermo Fisher Isodat 3.0 and Microsoft Excel.</p>
<p><strong>BCO-DMO Processing:</strong><br />
- replaced "n/a" with "nd" as missing data value ("no data");<br />
- replaced hyphens with underscores in parameter names to comply with BCO-DMO naming conventions;<br />
- changed all date fields to format YYYY-MM-DD.</p>
Specified by the Principal Investigator(s)
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
Thermo Fisher Scientific Trace 1310 Gas Chromatograph
Thermo Fisher Scientific Trace 1310 Gas Chromatograph
PI Supplied Instrument Name: Thermo Fisher Scientific Trace 1310 Gas Chromatograph Instrument Name: Gas Chromatograph Instrument Short Name:Gas Chromatograph Instrument 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) Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB02/
MAT 253 Plus Isotope Ratio Mass Spectrometer (IRMS)
MAT 253 Plus Isotope Ratio Mass Spectrometer (IRMS)
PI Supplied Instrument Name: MAT 253 Plus Isotope Ratio Mass Spectrometer (IRMS) Instrument Name: Isotope-ratio Mass Spectrometer Instrument Short Name:IR Mass Spec; IRMS Instrument 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). Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB16/
large volume pumps (WTS-LV; McLane Research Laboratories, Inc.)
large volume pumps (WTS-LV; McLane Research Laboratories, Inc.)
PI Supplied Instrument Name: large volume pumps (WTS-LV; McLane Research Laboratories, Inc.) Instrument Name: McLane Large Volume Pumping System WTS-LV Instrument Short Name:WTS-LV Instrument 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.
mini-MULVFS (Multiple Unit Large Volume in-situ Filtration System)
mini-MULVFS (Multiple Unit Large Volume in-situ Filtration System)
PI Supplied Instrument Name: mini-MULVFS (Multiple Unit Large Volume in-situ Filtration System) Instrument Name: Multiple Unit Large Volume Filtration System Instrument Short Name:MULVFS Instrument Description: The Multiple Unit Large Volume Filtration System (MULVFS) was first described in Bishop et al., 1985 (doi: 10.1021/ba-1985-0209.ch009). The MULVFS consists of multiple (commonly 12) specialized particulate matter pumps, mounted in a frame and tethered to the ship by a cable (Bishop et al., 1985; Bishop and Wood, 2008). The MULVFS filters particulates from large volumes of seawater, although the exact protocols followed will vary for each project. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/32/
neutrally buoyant sediment traps (NBST)
neutrally buoyant sediment traps (NBST)
PI Supplied Instrument Name: neutrally buoyant sediment traps (NBST) Instrument Name: Neutrally Buoyant Sediment Trap Instrument Short Name:NBST Instrument Description: In general, sediment traps are specially designed containers deployed in the water column for periods of time to collect particles from the water column falling toward the sea floor. The Neutrally Buoyant Sediment Trap (NBST) was designed by researchers at Woods Hole Oceanographic Institution. The central cylinder of the NBST controls buoyancy and houses a satellite transmitter. The other tubes collect sediment as the trap drifts in currents at a predetermined depth. The samples are collected when the tubes snap shut before the trap returns to the surface. (more: http://www.whoi.edu/instruments/viewInstrument.do?id=10286) Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/33/
surface tethered sediment traps (STT)
surface tethered sediment traps (STT)
PI Supplied Instrument Name: surface tethered sediment traps (STT) Instrument Name: Sediment Trap Instrument Short Name:Sediment Trap Instrument Description: Sediment traps are specially designed containers deployed in the water column for periods of time to collect particles from the water column falling toward the sea floor. In general a sediment trap has a jar at the bottom to collect the sample and a broad funnel-shaped opening at the top with baffles to keep out very large objects and help prevent the funnel from clogging. This designation is used when the specific type of sediment trap was not specified by the contributing investigator. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/33/
Cruise: RR1813
RR1813
R/V Roger Revelle
Community Standard Description
International Council for the Exploration of the Sea
R/V Roger Revelle
vessel
RR1813
Deborah K. Steinberg
Virginia Institute of Marine Science
https://datadocs.bco-dmo.org/docs/EXPORTS/data_docs/RR1813_Cruise_Report.pdf
Report describing RR1813
Cruise: SR1812
SR1812
R/V Sally Ride
Community Standard Description
International Council for the Exploration of the Sea
R/V Sally Ride
vessel
SR1812
Norman Nelson
University of California-Santa Barbara
R/V Roger Revelle
Community Standard Description
International Council for the Exploration of the Sea
R/V Roger Revelle
vessel
R/V Sally Ride
Community Standard Description
International Council for the Exploration of the Sea
R/V Sally Ride
vessel