http://lod.bco-dmo.org/id/dataset/806502
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
2020-03-19
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Particles and Zooplankton Amino Acid Compound Specific Isotope Analyses (AA-CSIA) and zooplankton biomass at Station ALOHA and the Equatorial Pacific from R/V Kilo Moana cruises KM1407, KM1418, & KM1515 from 2014-2015
2020-03-19
publication
2020-03-19
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2020-03-31
publication
https://doi.org/10.26008/1912/bco-dmo.806502.1
Brian N. Popp
University of Hawaiʻi at Mānoa
principalInvestigator
Jeffrey C. Drazen
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: Popp, B., Drazen, J. (2020) Particles and Zooplankton Amino Acid Compound Specific Isotope Analyses (AA-CSIA) and zooplankton biomass at Station ALOHA and the Equatorial Pacific from R/V Kilo Moana cruises KM1407, KM1418, & KM1515 from 2014-2015. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-03-19 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.806502.1 [access date]
Particles and Zooplankton Amino Acid Compound Specific Isotope Analyses (AA-CSIA) and zooplankton biomass in the Equatorial North Pacific and station Aloha Dataset Description: Methods and Sampling: <p>Particles were collected using in situ McLane pumps equipped with mini-MULVFS (Bishop et al. 2012) 2-tiered filter holders. Particle collection captured sequentially large (&gt;53 µm) particulates on acid-cleaned Nitex mesh filters and small particles (&lt;53 µm) on pre-combusted GFF or QMA filters at discrete depths for amino acid compound-specific isotope analysis (AA CSIA) and for particulate carbon and nitrogen. This method is designed to exclude motile metazoans but include all other ambient, non-swimming particulate matter (see Bishop et al. 2012). Immediately after collection, large particles were rinsed off of the Nitex screens and onto pre-combusted 25-mm QMA filters using 0.2 µm filtered seawater. All filters were frozen at -20°C or -80°C as soon as possible after collection.</p>
<p>Zooplankton were collected using a 1-m² MOCNESS net during the day (~09:00-15:00) and at night (~20:00-03:00). Night and day tows were repeated to obtain replicate samples for biomass and isotopic analyses. Upon collection, each sample was size-fractionated using 0.2, 0.5, 1.0, 2.0 and 5.0 mm mesh sieves, filtered onto pre-weighed 47 mm filters of 0.2 mm Nitex mesh and stored frozen at -80ºC.</p>
<p>For nitrogen isotope composition of the amino acids, particles and zooplankton samples were freeze dried and analyzed following the methods Hannides et al. (2013).&nbsp;δ¹⁵N values of source amino acids ( δ¹⁵NSrc₋AA ) for both particles and zooplankton were calculated as the average δ¹⁵N of: serine, phenylalanine, lysine and glycine. Freeze-dried zooplankton filters for all size fractions were weighed to calculate zooplankton biomass (mg in dry weight/m³) at each depth during the day and at nighttime.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1333734 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1333734
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1433846 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1433846
completed
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
Jeffrey C. Drazen
University of Hawaiʻi at Mānoa
808-956-6567
Department of Oceanography, SOEST 1000 Pope Road
Honolulu
HI
96822
USA
jdrazen@hawaii.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Cruise
Date_initial
Date_final
Site
Latitude
Longitude
Season
DayNight
Type
SizeFraction_min
SizeFraction_max
Depth
DepthInterval_max
DepthInterval_min
d15NSrcAA
Propagation_error
POC
PC
Biomass
isotope ratio mass spectrometer
McLane pumps
1-m2 MOCNESS
MULVFS
theme
None, User defined
Cruise identfier
date
site
latitude
longitude
season
time_of_day
sample description
sample fraction (includes size fractions)
depth
d15N measured in biota
particulate organic Carbon (POC)
Elemental carbon (C)
wet_weight_biomass
featureType
BCO-DMO Standard Parameters
Isotope-ratio Mass Spectrometer
McLane Pump
MOCNESS
Multiple Unit Large Volume Filtration System
instrument
BCO-DMO Standard Instruments
KM1407
KM1418
KM1515
service
Deployment Activity
Central North Pacific, Station ALOHA
Tropical Pacific
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.
Evaluating the relative importance of suspended and sinking particles to the meso and bathypelagic food web in the central North Pacific
https://osprey.bco-dmo.org/project/537123
Evaluating the relative importance of suspended and sinking particles to the meso and bathypelagic food web in the central North Pacific
<p><em>Description from NSF award abstract:</em><br />
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.</p>
<p>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.</p>
SuspendSinkPart
largerWorkCitation
project
Collaborative Research: Isotopic insights to mercury in marine food webs and how it varies with ocean biogeochemistry
https://osprey.bco-dmo.org/project/560580
Collaborative Research: Isotopic insights to mercury in marine food webs and how it varies with ocean biogeochemistry
<p><em>NSF award abstract:</em><br />
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.</p>
<p>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.</p>
<p><em>Related background publication with supplemental data section:</em><br />
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. <a href="https://www.nature.com/articles/ngeo1918" target="_blank">doi:10.1038/ngeo1918</a></p>
Hg_Biogeochemistry
largerWorkCitation
project
eng; USA
oceans
Central North Pacific, Station ALOHA; Tropical Pacific
-158
-155
5
22
2014-02-19
2015-09-08
From projects that focused on the following 2 locations: 1. Subtropical waters north of Hawaii; Station Aloha (22° 45'N, 158° 00'W) 2. Pacific Subtropical Gyre, Station ALOHA 22.75N 158W; equatorial Pacific (10N 155W, 5N 155W)
0
BCO-DMO catalogue of parameters from Particles and Zooplankton Amino Acid Compound Specific Isotope Analyses (AA-CSIA) and zooplankton biomass at Station ALOHA and the Equatorial Pacific from R/V Kilo Moana cruises KM1407, KM1418, & KM1515 from 2014-2015
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/806521.rdf
Name: Cruise
Units: unitless
Description: <p>Cruise identifier</p>
http://lod.bco-dmo.org/id/dataset-parameter/806522.rdf
Name: Date_initial
Units: unitless
Description: <p>Sampling initial date (UTC); format: yyyy-mm-dd</p>
http://lod.bco-dmo.org/id/dataset-parameter/806523.rdf
Name: Date_final
Units: unitless
Description: <p>Sampling final date (UTC); format: yyyy-mm-dd</p>
http://lod.bco-dmo.org/id/dataset-parameter/806524.rdf
Name: Site
Units: unitless
Description: <p>Site identifier</p>
http://lod.bco-dmo.org/id/dataset-parameter/806525.rdf
Name: Latitude
Units: degrees N
Description: <p>Latitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/806526.rdf
Name: Longitude
Units: degrees W
Description: <p>Longitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/806527.rdf
Name: Season
Units: unitless
Description: <p>Season: Winter = February; Summer = August and September</p>
http://lod.bco-dmo.org/id/dataset-parameter/806528.rdf
Name: DayNight
Units: unitless
Description: <p>DayNight: Day = 9:00 – 15:00; Night = 20:00 – 3:00</p>
http://lod.bco-dmo.org/id/dataset-parameter/806529.rdf
Name: Type
Units: unitless
Description: <p>Type of sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/806530.rdf
Name: SizeFraction_min
Units: micrometers (um)
Description: <p>Minimum size fraction of a sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/806531.rdf
Name: SizeFraction_max
Units: micrometers (um)
Description: <p>Maximum size fraction of a sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/806532.rdf
Name: Depth
Units: meters (m)
Description: <p>Sampling depth</p>
http://lod.bco-dmo.org/id/dataset-parameter/806533.rdf
Name: DepthInterval_max
Units: meters (m)
Description: <p>Maximum depth of MOCNESS net</p>
http://lod.bco-dmo.org/id/dataset-parameter/806534.rdf
Name: DepthInterval_min
Units: meters (m)
Description: <p>Minimum depth of MOCNESS net</p>
http://lod.bco-dmo.org/id/dataset-parameter/806535.rdf
Name: d15NSrcAA
Units: ‰, vs AIR
Description: <p>Average nitrogen isotopic composition of source amino acids: phenylalanine, serine, glycine and lysine of a sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/806536.rdf
Name: Propagation_error
Units: ‰, vs AIR
Description: <p>Propagation error of the replicate measurement of nitrogen isotopic composition of source amino acids of a sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/806537.rdf
Name: POC
Units: micrograms per liter (ug L-1)
Description: <p>Particulate Organic Carbon</p>
http://lod.bco-dmo.org/id/dataset-parameter/806538.rdf
Name: PC
Units: ug L-1
Description: <p>Total Particulate Carbon</p>
http://lod.bco-dmo.org/id/dataset-parameter/806539.rdf
Name: Biomass
Units: mg DW m-3
Description: <p>Zooplankton biomass</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
98680
https://darchive.mblwhoilibrary.org/bitstream/1912/25601/1/dataset-806502_particles-and-zooplankton-aa-csia__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.806502.1
download
onLine
dataset
<p>Particles were collected using in situ McLane pumps equipped with mini-MULVFS (Bishop et al. 2012) 2-tiered filter holders. Particle collection captured sequentially large (&gt;53 µm) particulates on acid-cleaned Nitex mesh filters and small particles (&lt;53 µm) on pre-combusted GFF or QMA filters at discrete depths for amino acid compound-specific isotope analysis (AA CSIA) and for particulate carbon and nitrogen. This method is designed to exclude motile metazoans but include all other ambient, non-swimming particulate matter (see Bishop et al. 2012). Immediately after collection, large particles were rinsed off of the Nitex screens and onto pre-combusted 25-mm QMA filters using 0.2 µm filtered seawater. All filters were frozen at -20°C or -80°C as soon as possible after collection.</p>
<p>Zooplankton were collected using a 1-m² MOCNESS net during the day (~09:00-15:00) and at night (~20:00-03:00). Night and day tows were repeated to obtain replicate samples for biomass and isotopic analyses. Upon collection, each sample was size-fractionated using 0.2, 0.5, 1.0, 2.0 and 5.0 mm mesh sieves, filtered onto pre-weighed 47 mm filters of 0.2 mm Nitex mesh and stored frozen at -80ºC.</p>
<p>For nitrogen isotope composition of the amino acids, particles and zooplankton samples were freeze dried and analyzed following the methods Hannides et al. (2013).&nbsp;δ¹⁵N values of source amino acids ( δ¹⁵NSrc₋AA ) for both particles and zooplankton were calculated as the average δ¹⁵N of: serine, phenylalanine, lysine and glycine. Freeze-dried zooplankton filters for all size fractions were weighed to calculate zooplankton biomass (mg in dry weight/m³) at each depth during the day and at nighttime.</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
isotope ratio mass spectrometer
isotope ratio mass spectrometer
PI Supplied Instrument Name: isotope ratio mass spectrometer PI Supplied Instrument Description:Nitrogen isotope composition of the amino acids 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. 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/
McLane pumps
McLane pumps
PI Supplied Instrument Name: McLane pumps PI Supplied Instrument Description:Particles were collected using in situ McLane pumps equipped with mini-MULVFS (Bishop et al. 2012) 2-tiered filter holders. Instrument Name: McLane Pump Instrument Short Name:McLane Pump Instrument Description: McLane pumps sample large volumes of seawater at depth. They are attached to a wire and lowered to different depths in the ocean. As the water is pumped through the filter, particles suspended in the ocean are collected on the filters. The pumps are then retrieved and the contents of the filters are analyzed in a lab.
1-m2 MOCNESS
1-m2 MOCNESS
PI Supplied Instrument Name: 1-m2 MOCNESS PI Supplied Instrument Description:Multiple opening-closing net and environmental sensing system (MOCNESS; Wiebe et al. 1976) net with 1 m2 opening using 0.2 mm mesh plankton nets. Instrument Name: MOCNESS Instrument Short Name:MOCNESS Instrument 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) Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/NETT0097/
MULVFS
MULVFS
PI Supplied Instrument Name: MULVFS PI Supplied Instrument Description:Particles were collected using in situ McLane pumps equipped with mini-MULVFS (Bishop et al. 2012) 2-tiered filter holders. 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/
Cruise: KM1407
KM1407
R/V Kilo Moana
Community Standard Description
International Council for the Exploration of the Sea
R/V Kilo Moana
vessel
KM1407
Jeffrey C. Drazen
University of Hawaiʻi at Mānoa
Cruise: KM1418
KM1418
R/V Kilo Moana
Community Standard Description
International Council for the Exploration of the Sea
R/V Kilo Moana
vessel
KM1418
Jeffrey C. Drazen
University of Hawaiʻi at Mānoa
Cruise: KM1515
KM1515
R/V Kilo Moana
Community Standard Description
International Council for the Exploration of the Sea
R/V Kilo Moana
vessel
KM1515
Brian N. Popp
University of Hawai'i
R/V Kilo Moana
Community Standard Description
International Council for the Exploration of the Sea
R/V Kilo Moana
vessel