http://lod.bco-dmo.org/id/dataset/994461
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
2026-03-11
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Biometrics, identifications, and isotopic values of larval fish and isotopic values of zooplankton from samples collected on R/V Roger Revelle cruise RR2201 (BLOOFINZ-IO) in Argo Basin region off Northwest Australia from January to March 2022
2026-04-09
publication
2026-04-09
revision
Woods Hole Oceanographic Institution (WHOI BCO-DMO)
2026-04-09
publication
https://doi.org/10.26008/1912/bco-dmo.994461.1
Raul Laiz Carrion
Spanish Institute of Oceanography
principalInvestigator
Michael R. Landry
University of California-San Diego Scripps
principalInvestigator
Carolina Johnstone
Spanish Institute of Oceanography
principalInvestigator
Estrella Malca
University of Miami
principalInvestigator
Jose Maria Quintanilla
Spanish Institute of Oceanography
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: Malca, E., Laiz Carrion, R., Quintanilla, J. M., Borrego Santos, R., Johnstone, C., Perez, T., Landry, M. R. (2026) Biometrics, identifications, and isotopic values of larval fish and isotopic values of zooplankton from samples collected on R/V Roger Revelle cruise RR2201 (BLOOFINZ-IO) in Argo Basin region off Northwest Australia from January to March 2022. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-04-09 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.994461.1 [access date]
Tuna isotopes and biometrics Dataset Description: Methods and Sampling: <p>Larval tuna were collected in 2022 during BLOOFINZ-IO cruise RR2201 aboard R/V Roger Revelle (Landry et al., 2024). Plankton nets (Bongo-90 with 500-micrometer (μm) mesh) were utilized for ichthyoplankton sampling and the procedure was described in Malca et al., 2025. Larvae were identified at sea utilizing morphological, meristic, and pigmentation characteristics (Nishikawa, 1985; Nishikawa and Rimmer 1987). A subset of tuna larvae were identified and preserved at -80 degrees Celsius (°C) at sea and were processed for morphometrics, genetics, SIA, and aging in the IEO-CSIC laboratories in Malaga, Spain. Shipboard identifications were confirmed using: i) a multiplex PCR to distinguish SBT (<em>Thunnus maccoyii</em>) from yellowfin (<em>T. albacares</em>), albacore (<em>T. alalunga</em>), bigeye (<em>T. obesus</em>), and skipjack (<em>K. pelamis</em>) tunas (see Malca et al., 2025); ii) mitochondrial cytochrome c oxidase subunit I (COI), and iii) high-resolution melting (HRM) techniques (Malca et al., 2025).</p>
<p>Coupled to the Bongo-90 net system, a Bongo-25 (25-centimeter (cm) diameter) plankton net was fitted with 200 and 55 μm mesh nets to simultaneously target meso- and micro-zooplankton, respectively. A mechanical flowmeter (2030, General Oceanics) was placed in the center of all plankton nets to calculate the volume of water filtered (cubic meters) by each net. Plankton samples from the 200-μm net (hereafter meso-zooplankton) were divided into two aliquots using a Folsom plankton splitter, with half preserved in 95% ethanol and the other half frozen at −80°C. Microzooplankton (samples from 55-μm mesh net) were first poured through a 200-μm mesh sieve to remove larger zooplankton and debris, then filtered onto 55-μm mesh and frozen at −80°C (Laiz-Carrión et al., 2015). Each meso- and micro-zooplankton sample was freeze-dried for 48 hours at −20°C, and weighed to the nearest 1 microgram (μg). Dry weight (DW) biomass values were standardized to milligrams per cubic meter (mg m−3) using the volume filtered by the plankton nets.</p>
<p>Laboratory analysis at the Málaga Oceanographic Center (IEO-CSIC) was conducted by first measuring standard length (SL, mm) with Image J 1.44a software (USA National Institute of Health) and DW (mg, nearest 1 μg) after freeze-drying for 24 hours. Larvae were classified as preflexion and postflexion based on the degree of notochord flexion observed on a digitized and calibrated image of each larva (Kendall et al., 1984). Next, otoliths were removed and age estimations were conducted following the protocols described by Malca et al., 2023. Natural abundances of N (δ15N) and C (δ13C) were measured using an isotope-ratio spectrometer (Thermo-Finnigan Delta-plus) coupled to an elemental analyzer (FlashEA1112, Thermo-Finnigan) at the Instrumental Unit of Analysis of the University of A Coruña. Ratios of 15N/14N and 12C/13C were expressed in conventional delta notation (δ), relative to the international standard, Atmospheric Air (N2), and Pee-Dee Belemnite (PDB), respectively, using acetanilide as standard. The analysis precisions for δ15N and δ13C were 0.11‰ and 0.14‰, respectively, based on the standard deviation of internal references (repeatability of duplicates).</p>
<p>Additional details regarding the survey (RR2201 cruise) can be found in the cruise report found in the link: <a href="http://hdl.handle.net/1834/43464" target="_blank">http://hdl.handle.net/1834/43464</a>.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1851395 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1851395
Funding provided by Ministry of Science, Innovation and Universities (MICINN) Award Number: PID2021/122862NB/100 UE-FEDER
completed
Raul Laiz Carrion
Spanish Institute of Oceanography
Spain
raul.laiz@ieo.csic.es
pointOfContact
Michael R. Landry
University of California-San Diego Scripps
858-534-4702
9500 Gilman Drive Mail Code: 0227
La Jolla
CA
92093-0227
USA
mlandry@ucsd.edu
pointOfContact
Carolina Johnstone
Spanish Institute of Oceanography
carolina.johnstone@ieo.csic.es
pointOfContact
Estrella Malca
University of Miami
Miami
FL
USA
estrella.malcaphd@gmail.com
pointOfContact
Jose Maria Quintanilla
Spanish Institute of Oceanography
jose.quintanilla@ieo.csic.es
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Cycle
Latitude
Longitude
Cast
Station
Date_Cast
Preservative
Identifier
Species
Stage
Length
Width
Dry_Weight
Age
N_pcnt
C_pcnt
d15N
d13C
MICRO_BIOMASS
MICRO_N
MICRO_C
MICRO_d15N
MICRO_d13C
MESO_BIOMASS
MESO_N
MESO_C
MESO_d15N
MESO_d13C
Bongo-90 and Black Widow (modified Bongo-90 frame)
Mechanical flowmeters
Isotope-ratio spectrometer (Thermo-Finnigan Delta-plus)
Freeze dryer (Telstar LyoAlfa)
stereomicroscopes
Neuston net
microbalance
FlashEA1112, Thermo-Finnigan
theme
None, User defined
sample description
latitude
longitude
cast
station
ISO_DateTime_UTC
sample identification
taxon_code
stage
length
width
dry_wgt
age
Nitrogen
Elemental carbon (C)
d15N measured in biota
d13C measured in biota
featureType
BCO-DMO Standard Parameters
Bongo Net
Flow Meter
Isotope-ratio Mass Spectrometer
Lyophilizer
Microscope - Optical
Neuston Net
scale or balance
Thermo Fisher Scientific Flash EA 1112 elemental analyzer
instrument
BCO-DMO Standard Instruments
RR2201
service
Deployment Activity
Eastern Indian Ocean (Argo Basin)
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.
Second International Indian Ocean Expedition
https://web.whoi.edu/iioe2/
Second International Indian Ocean Expedition
Description from the program website:
The Second International Indian Ocean Expedition (IIOE-2) is a major global scientific program which will engage the international scientific community in collaborative oceanographic and atmospheric research from coastal environments to the deep sea over the period 2015-2020, revealing new information on the Indian Ocean (i.e. its currents, its influence upon the climate, its marine ecosystems) which is fundamental for future sustainable development and expansion of the Indian Ocean's blue economy. A large number of scientists from research institutions from around the Indian Ocean and beyond are planning their involvement in IIOE-2 in accordance with the overarching six scientific themes of the program. Already some large collaborative research projects are under development, and it is anticipated that by the time these projects are underway, many more will be in planning or about to commence as the scope and global engagement in IIOE-2 grows.
Focused research on the Indian Ocean has a number of benefits for all nations. The Indian Ocean is complex and drives the region's climate including extreme events (e.g. cyclones, droughts, severe rains, waves and storm surges). It is the source of important socio-economic resources (e.g. fisheries, oil and gas exploration/extraction, eco-tourism, and food and energy security) and is the background and focus of many of the region's human populations around its margins. Research and observations supported through IIOE-2 will result in an improved understanding of the ocean's physical and biological oceanography, and related air-ocean climate interactions (both in the short-term and long-term). The IIOE-2's program will complement and harmonise with other regional programs underway and collectively the outcomes of IIOE-2 will be of huge benefit to individual and regional sustainable development as the information is a critical component of improved decision making in areas such as maritime services and safety, environmental management, climate monitoring and prediction, food and energy security.
IIOE-2 activities will also include a significant focus on building the capacity of all nations around the Indian Ocean to understand and apply observational data or research outputs for their own socio-economic requirements and decisions. IIOE-2 capacity building programs will therefore be focused on the translation of the science and information outputs for societal benefit and training of relevant individuals from surrounding nations in these areas.
A Steering Committee was established to support U.S. participation in IIOE-2. More information is available on their website at https://web.whoi.edu/iioe2/.
IIOE-2
largerWorkCitation
program
Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean
https://osprey.bco-dmo.org/project/819488
Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean
<p><em>NSF Award Abstract:</em><br />
The small area between NW Australia and Indonesia in the eastern Indian Ocean (IO) is the only known spawning ground of Southern Bluefin Tuna (SBT), a critically endangered top marine predator. Adult SBT migrate thousands of miles each year from high latitude feeding areas to lay their eggs in these tropical waters, where food concentrations on average are below levels that can support optimal feeding and growth of their larvae. Many critical aspects of this habitat are poorly known, such as the main source of nitrogen nutrient that sustains system productivity, how the planktonic food web operates to produce the unusual types of zooplankton prey that tuna larvae prefer, and how environmental differences in habitat quality associated with ocean fronts and eddies might be utilized by adult spawning tuna to give their larvae a greater chance for rapid growth and survival success. This project investigates these questions on a 38-day expedition in early 2021, during the peak time of SBT spawning. This project is a US contribution to the 2nd International Indian Ocean Expedition (IIOE-2) that advances understanding of biogeochemical and ecological dynamics in the poorly studied eastern IO. This is the first detailed study of nitrogen and carbon cycling in the region linking Pacific and IO waters. The shared dietary preferences of SBT larvae with those of other large tuna and billfish species may also make the insights gained broadly applicable to understanding larval recruitment issues for top consumers in other marine ecosystems. New information from the study will enhance international management efforts for SBT. The shared larval dietary preferences of large tuna and billfish species may also extend the insights gained broadly to many other marine top consumers, including Atlantic bluefin tuna that spawn in US waters of the Gulf of Mexico. The end-to-end study approach, highlights connections among physical environmental variability, biogeochemistry, and plankton food webs leading to charismatic and economically valuable fish production, is the theme for developing educational tools and modules through the "scientists-in-the-schools" program of the Center for Ocean-Atmospheric Prediction Studies at Florida State University, through a program for enhancing STEM learning pathways for underrepresented students in Hawaii, and through public outreach products for display at the Birch Aquarium in San Diego. The study also aims to support an immersive field experience to introduce talented high school students to marine research, with the goal of developing a sustainable marine-related educational program for underrepresented students in rural northwestern Florida.</p>
<p>Southern Bluefin Tuna (SBT) migrate long distances from high-latitude feeding grounds to spawn exclusively in a small oligotrophic area of the tropical eastern Indian Ocean (IO) that is rich in mesoscale structures, driven by complex currents and seasonally reversing monsoonal winds. To survive, SBT larvae must feed and grow rapidly under environmental conditions that challenge conventional understanding of food-web structure and functional relationships in poor open-ocean systems. The preferred prey of SBT larvae, cladocerans and Corycaeidae copepods, are poorly studied and have widely different implications for trophic transfer efficiencies to larvae. Differences in nitrogen sources - N fixation vs deep nitrate of Pacific origin - to sustain new production in the region also has implications for conditions that may select for prey types (notably cladocerans) that enhance transfer efficiency and growth rates of SBT larvae. The relative importance of these N sources for the IO ecosystem may affect SBT resiliency to projected increased ocean stratification. This research expedition investigates how mesoscale variability in new production, food-web structure and trophic fluxes affects feeding and growth conditions for SBT larvae. Sampling across mesoscale features tests hypothesized relationships linking variability in SBT larval feeding and prey preferences (gut contents), growth rates (otolith analyses) and trophic positions (TP) to the environmental conditions of waters selected by adult spawners. Trophic Positions of larvae and their prey are determined using Compound-Specific Isotope Analyses of Amino Acids (CSIA-AA). Lagrangian experiments investigate underlying process rates and relationships through measurements of water-column 14C productivity, N2 fixation, 15NO3- uptake and nitrification; community biomass and composition (flow cytometry, pigments, microscopy, in situ imaging, genetic analyses); and trophic fluxes through micro- and mesozooplankton grazing, remineralization and export. Biogeochemical and food web elements of the study are linked by CSIA-AA (N source, TP), 15N-constrained budgets and modeling. The project elements comprise an end-to-end coupled biogeochemistry-trophic study as has not been done previously for any pelagic ecosystem.</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>
BLOOFINZ-IO
largerWorkCitation
project
eng; USA
oceans
Eastern Indian Ocean (Argo Basin)
113.955534
118.14204
-17.086491
-13.010074
2022-02-01
2022-02-28
Eastern Indian Ocean, Indonesian Throughflow area, and the Gulf of Mexico
0
BCO-DMO catalogue of parameters from Biometrics, identifications, and isotopic values of larval fish and isotopic values of zooplankton from samples collected on R/V Roger Revelle cruise RR2201 (BLOOFINZ-IO) in Argo Basin region off Northwest Australia from January to March 2022
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/994501.rdf
Name: Cycle
Units: unitless
Description: <p>Cycle (C1, C2, C3, C4) or Transect (T2, T3, T4, T5)</p>
http://lod.bco-dmo.org/id/dataset-parameter/994502.rdf
Name: Latitude
Units: decimal degrees
Description: <p>Decimal latitude; negative = South</p>
http://lod.bco-dmo.org/id/dataset-parameter/994504.rdf
Name: Longitude
Units: decimal degrees
Description: <p>Decimal longitude; positive = East</p>
http://lod.bco-dmo.org/id/dataset-parameter/994506.rdf
Name: Cast
Units: unitless
Description: <p>Cast number sequential for CTD</p>
http://lod.bco-dmo.org/id/dataset-parameter/994507.rdf
Name: Station
Units: unitless
Description: <p>Tuna team tow number 001-189 in sequential order</p>
http://lod.bco-dmo.org/id/dataset-parameter/994508.rdf
Name: Date_Cast
Units: unitless
Description: <p>Date and time of CTD cast (UTC)</p>
http://lod.bco-dmo.org/id/dataset-parameter/994509.rdf
Name: Preservative
Units: unitless
Description: <p>Preservation method (frozen or ethanol)</p>
http://lod.bco-dmo.org/id/dataset-parameter/994510.rdf
Name: Identifier
Units: unitless
Description: <p>Individual larval identifier</p>
http://lod.bco-dmo.org/id/dataset-parameter/994511.rdf
Name: Species
Units: unitless
Description: <p>Species identification using visual and genetic methods. Southern bluefin tuna (SBT) Thunnus maccoyii, Yellowfin tuna (YFT) Thunnus albacares, Bigeye tuna (BET) Thunnus obesus, Skipjack tuna (SKJ) Katsuwonus pelamis</p>
http://lod.bco-dmo.org/id/dataset-parameter/994512.rdf
Name: Stage
Units: unitless
Description: <p>Developmental stage (preflexion, postflexion, egg)</p>
http://lod.bco-dmo.org/id/dataset-parameter/994513.rdf
Name: Length
Units: millimeters (mm)
Description: <p>Standard length</p>
http://lod.bco-dmo.org/id/dataset-parameter/994514.rdf
Name: Width
Units: millimeters (mm)
Description: <p>Myotome width</p>
http://lod.bco-dmo.org/id/dataset-parameter/994515.rdf
Name: Dry_Weight
Units: milligrams (mg)
Description: <p>Dry weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/994516.rdf
Name: Age
Units: number of days
Description: <p>days post hatch</p>
http://lod.bco-dmo.org/id/dataset-parameter/994517.rdf
Name: N_pcnt
Units: percent (%)
Description: <p>% N isotope larval value</p>
http://lod.bco-dmo.org/id/dataset-parameter/994518.rdf
Name: C_pcnt
Units: percent (%)
Description: <p>% C isotope larval value</p>
http://lod.bco-dmo.org/id/dataset-parameter/994519.rdf
Name: d15N
Units: per mil (‰)
Description: <p>δ15N larval value</p>
http://lod.bco-dmo.org/id/dataset-parameter/994520.rdf
Name: d13C
Units: per mil (‰)
Description: <p>δ13C larval value</p>
http://lod.bco-dmo.org/id/dataset-parameter/994521.rdf
Name: MICRO_BIOMASS
Units: milligrams per cubic meter (mg m3)
Description: <p>Microzooplankton dry weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/994522.rdf
Name: MICRO_N
Units: percent N
Description: <p>Microzooplankton (55-200 µm) % N value</p>
http://lod.bco-dmo.org/id/dataset-parameter/994523.rdf
Name: MICRO_C
Units: percent C
Description: <p>Microzooplankton (55-200 µm) % C value</p>
http://lod.bco-dmo.org/id/dataset-parameter/994524.rdf
Name: MICRO_d15N
Units: per mil (‰)
Description: <p>Microzooplankton (55-200 µm) δ15N value</p>
http://lod.bco-dmo.org/id/dataset-parameter/994525.rdf
Name: MICRO_d13C
Units: per mil (‰)
Description: <p>Microzooplankton (55-200 µm) δ13C value</p>
http://lod.bco-dmo.org/id/dataset-parameter/994526.rdf
Name: MESO_BIOMASS
Units: milligrams per cubic meter (mg m3)
Description: <p>Mesozooplankton dry weight mg m3</p>
http://lod.bco-dmo.org/id/dataset-parameter/994527.rdf
Name: MESO_N
Units: percent N
Description: <p>Mesozooplankton (200-2000 µm) % N value</p>
http://lod.bco-dmo.org/id/dataset-parameter/994528.rdf
Name: MESO_C
Units: percent C
Description: <p>Mesozooplankton (200-2000 µm) % C value</p>
http://lod.bco-dmo.org/id/dataset-parameter/994529.rdf
Name: MESO_d15N
Units: per mil (‰)
Description: <p>Mesozooplankton (200-2000 µm) δ15N value</p>
http://lod.bco-dmo.org/id/dataset-parameter/994530.rdf
Name: MESO_d13C
Units: per mil (‰)
Description: <p>Mesozooplankton (200-2000 µm) δ13C value</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
https://doi.org/10.26008/1912/bco-dmo.994461.1
download
onLine
dataset
<p>Larval tuna were collected in 2022 during BLOOFINZ-IO cruise RR2201 aboard R/V Roger Revelle (Landry et al., 2024). Plankton nets (Bongo-90 with 500-micrometer (μm) mesh) were utilized for ichthyoplankton sampling and the procedure was described in Malca et al., 2025. Larvae were identified at sea utilizing morphological, meristic, and pigmentation characteristics (Nishikawa, 1985; Nishikawa and Rimmer 1987). A subset of tuna larvae were identified and preserved at -80 degrees Celsius (°C) at sea and were processed for morphometrics, genetics, SIA, and aging in the IEO-CSIC laboratories in Malaga, Spain. Shipboard identifications were confirmed using: i) a multiplex PCR to distinguish SBT (<em>Thunnus maccoyii</em>) from yellowfin (<em>T. albacares</em>), albacore (<em>T. alalunga</em>), bigeye (<em>T. obesus</em>), and skipjack (<em>K. pelamis</em>) tunas (see Malca et al., 2025); ii) mitochondrial cytochrome c oxidase subunit I (COI), and iii) high-resolution melting (HRM) techniques (Malca et al., 2025).</p>
<p>Coupled to the Bongo-90 net system, a Bongo-25 (25-centimeter (cm) diameter) plankton net was fitted with 200 and 55 μm mesh nets to simultaneously target meso- and micro-zooplankton, respectively. A mechanical flowmeter (2030, General Oceanics) was placed in the center of all plankton nets to calculate the volume of water filtered (cubic meters) by each net. Plankton samples from the 200-μm net (hereafter meso-zooplankton) were divided into two aliquots using a Folsom plankton splitter, with half preserved in 95% ethanol and the other half frozen at −80°C. Microzooplankton (samples from 55-μm mesh net) were first poured through a 200-μm mesh sieve to remove larger zooplankton and debris, then filtered onto 55-μm mesh and frozen at −80°C (Laiz-Carrión et al., 2015). Each meso- and micro-zooplankton sample was freeze-dried for 48 hours at −20°C, and weighed to the nearest 1 microgram (μg). Dry weight (DW) biomass values were standardized to milligrams per cubic meter (mg m−3) using the volume filtered by the plankton nets.</p>
<p>Laboratory analysis at the Málaga Oceanographic Center (IEO-CSIC) was conducted by first measuring standard length (SL, mm) with Image J 1.44a software (USA National Institute of Health) and DW (mg, nearest 1 μg) after freeze-drying for 24 hours. Larvae were classified as preflexion and postflexion based on the degree of notochord flexion observed on a digitized and calibrated image of each larva (Kendall et al., 1984). Next, otoliths were removed and age estimations were conducted following the protocols described by Malca et al., 2023. Natural abundances of N (δ15N) and C (δ13C) were measured using an isotope-ratio spectrometer (Thermo-Finnigan Delta-plus) coupled to an elemental analyzer (FlashEA1112, Thermo-Finnigan) at the Instrumental Unit of Analysis of the University of A Coruña. Ratios of 15N/14N and 12C/13C were expressed in conventional delta notation (δ), relative to the international standard, Atmospheric Air (N2), and Pee-Dee Belemnite (PDB), respectively, using acetanilide as standard. The analysis precisions for δ15N and δ13C were 0.11‰ and 0.14‰, respectively, based on the standard deviation of internal references (repeatability of duplicates).</p>
<p>Additional details regarding the survey (RR2201 cruise) can be found in the cruise report found in the link: <a href="http://hdl.handle.net/1834/43464" target="_blank">http://hdl.handle.net/1834/43464</a>.</p>
Specified by the Principal Investigator(s)
<p>Larval biometrics, stable isotopes values and identifications, along with their associated zooplankton size fractionated biomasses and stable isotopes values were logged in datasheets and uploaded to a central database in excel. Quality control was performed multiple times at each step of the lab data collection process.</p>
Specified by the Principal Investigator(s)
- Imported original file "Inditun_v1.xlsx" (sheet 1) into the BCO-DMO system.
- Renamed fields to comply with BCO-DMO naming conventions.
- Converted Date_Cast from "%Y-%m-%d %H:%M:%S UTC" format to ISO 8601 datetime format "%Y-%m-%dT%H:%M:%SZ".
- Rounded MICRO_BIOMASS, MICRO_N, MICRO_C, MICRO_d15N, MICRO_d13C, MESO_BIOMASS, MESO_N, MESO_C, MESO_d15N, and MESO_d13C to a maximum of 3 decimal places, only affecting values with more precision than 3 digits, with trailing zeros preserved
- Saved the final file as "994461_v1_bloofinz-io_tuna_isotopes_and_biometrics.csv".
Specified by BCO-DMO Data Managers
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
Bongo-90 and Black Widow (modified Bongo-90 frame)
Bongo-90 and Black Widow (modified Bongo-90 frame)
PI Supplied Instrument Name: Bongo-90 and Black Widow (modified Bongo-90 frame) PI Supplied Instrument Description:Three plankton nets were used: Bongo-90 (dual 90-cm diameter bongo frame with 505-μm mesh nets), Black Widow (modified Bongo-90 frame with black nets with 1000 µm mesh), and the neuston was a square single-frame net (1 m2, with 1000-µm mesh). Bongo-90 tows were generally done with a smaller net (Bongo-25, 25 cm diameter mouth; 200 and 50-μm mesh nets with flowmeters) attached above the larger nets to sample zooplankton prey (Shiroza et al. 2021). The Bongo-90 and Bongo-25 had mechanical flowmeters (2030R, General Oceanics Inc.) centered in the middle to measure the amount of water filtered by each net. Instrument Name: Bongo Net Instrument Short Name:Bongo Net Instrument Description: A Bongo Net consists of paired plankton nets, typically with a 60 cm diameter mouth opening and varying mesh sizes, 10 to 1000 micron. The Bongo Frame was designed by the National Marine Fisheries Service for use in the MARMAP program. It consists of two cylindrical collars connected with a yoke so that replicate samples are collected at the same time. Variations in models are designed for either vertical hauls (OI-2500 = NMFS Pairovet-Style, MARMAP Bongo, CalVET) or both oblique and vertical hauls (Aquatic Research). The OI-1200 has an opening and closing mechanism that allows discrete "known-depth" sampling. This model is large enough to filter water at the rate of 47.5 m3/minute when towing at a speed of two knots. More information: Ocean Instruments, Aquatic Research, Sea-Gear Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/NETT0009/
Mechanical flowmeters
Mechanical flowmeters
PI Supplied Instrument Name: Mechanical flowmeters PI Supplied Instrument Description:Three plankton nets were used: Bongo-90 (dual 90-cm diameter bongo frame with 505-μm mesh nets), Black Widow (modified Bongo-90 frame with black nets with 1000 µm mesh), and the neuston was a square single-frame net (1 m2, with 1000-µm mesh). Bongo-90 tows were generally done with a smaller net (Bongo-25, 25 cm diameter mouth; 200 and 50-μm mesh nets with flowmeters) attached above the larger nets to sample zooplankton prey (Shiroza et al. 2021). The Bongo-90 and Bongo-25 had mechanical flowmeters (2030R, General Oceanics Inc.) centered in the middle to measure the amount of water filtered by each net. Instrument Name: Flow Meter Instrument Short Name:Flow Meter Instrument Description: General term for a sensor that quantifies the rate at which fluids (e.g. water or air) pass through sensor packages, instruments, or sampling devices. A flow meter may be mechanical, optical, electromagnetic, etc. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/388/
Isotope-ratio spectrometer (Thermo-Finnigan Delta-plus)
Isotope-ratio spectrometer (Thermo-Finnigan Delta-plus)
PI Supplied Instrument Name: Isotope-ratio spectrometer (Thermo-Finnigan Delta-plus) PI Supplied Instrument Description:Isotopes were recorded using isotope-ratio spectrometer (Thermo-Finnigan Delta-plus) coupled to an elemental analyzer (FlashEA1112, Thermo-Finnigan). 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/
Freeze dryer (Telstar LyoAlfa)
Freeze dryer (Telstar LyoAlfa)
PI Supplied Instrument Name: Freeze dryer (Telstar LyoAlfa) PI Supplied Instrument Description:Larval biometric measurements and subsequent sample preparation stable isotopes analyses were conducted using calibrated stereomicroscopes equipped with image-analysis systems (Image J 1.44a software, USA National Institute of Health) and a freeze dryer (Telstar LyoAlfa) and weighed on a microbalance with a precision of 0.01 mg. Genetic identification were performed at Molecular Biology and Genetics Laboratory of the Málaga Oceanographic Center, IEO-CSIC. Instrument Name: Lyophilizer Instrument Short Name:freeze dryer Instrument Description: A lyophilizer, also known as freeze dryer or liofilizador, is a device that is used to freeze-dry material.
stereomicroscopes
stereomicroscopes
PI Supplied Instrument Name: stereomicroscopes PI Supplied Instrument Description:Larval biometric measurements and subsequent sample preparation stable isotopes analyses were conducted using calibrated stereomicroscopes equipped with image-analysis systems (Image J 1.44a software, USA National Institute of Health) and a freeze dryer (Telstar LyoAlfa)and weighed on a microbalance with a precision of 0.01 mg. Genetic identification were performed at Molecular Biology and Genetics Laboratory of the Málaga Oceanographic Center, IEO-CSIC. Instrument Name: Microscope - Optical Instrument Short Name: Instrument Description: Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of visible light. Includes conventional and inverted instruments. Also called a "light microscope". Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB05/
Neuston net
Neuston net
PI Supplied Instrument Name: Neuston net PI Supplied Instrument Description:Three plankton nets were used: Bongo-90 (dual 90-cm diameter bongo frame with 505-μm mesh nets), Black Widow (modified Bongo-90 frame with black nets with 1000 µm mesh), and the neuston was a square single-frame net (1 m2, with 1000-µm mesh). Bongo-90 tows were generally done with a smaller net (Bongo-25, 25 cm diameter mouth; 200 and 50-μm mesh nets with flowmeters) attached above the larger nets to sample zooplankton prey (Shiroza et al. 2021). The Bongo-90 and Bongo-25 had mechanical flowmeters (2030R, General Oceanics Inc.) centered in the middle to measure the amount of water filtered by each net. Instrument Name: Neuston Net Instrument Short Name:Neuston Net Instrument Description: Neuston Nets are nets that collect zooplankton that live in the top few centimeters of the sea surface (the neuston layer). This specialized net has a rectangular mouth opening usually 2 or 3 times as wide as deep, i.e. 1 meter by 1/2 meter or 60 cm by 20 cm, with sometimes hollow piping construction to aid in flotation. They are generally towed half submerged at 1-2 kts from the side of the vessel on a boom to avoid the ship's wake. Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/NETT0110/
microbalance
microbalance
PI Supplied Instrument Name: microbalance PI Supplied Instrument Description:Larval biometric measurements and subsequent sample preparation stable isotopes analyses were conducted using calibrated stereomicroscopes equipped with image-analysis systems (Image J 1.44a software, USA National Institute of Health) and a freeze dryer (Telstar LyoAlfa)and weighed on a microbalance with a precision of 0.01 mg. Genetic identification were performed at Molecular Biology and Genetics Laboratory of the Málaga Oceanographic Center, IEO-CSIC. Instrument Name: scale or balance Instrument Short Name: Instrument Description: Devices that determine the mass or weight of a sample. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB13/
FlashEA1112, Thermo-Finnigan
FlashEA1112, Thermo-Finnigan
PI Supplied Instrument Name: FlashEA1112, Thermo-Finnigan PI Supplied Instrument Description:Isotopes were recorded using isotope-ratio spectrometer (Thermo-Finnigan Delta-plus) coupled to an elemental analyzer (FlashEA1112, Thermo-Finnigan). Instrument Name: Thermo Fisher Scientific Flash EA 1112 elemental analyzer Instrument Short Name:Flash EA 1112 Instrument Description: The Thermo Finnigan {Thermo Fisher Scientific} Flash EA 1112 elemental analyzer is a laboratory instrument used to determine total carbon, hydrogen, nitrogen, sulphur, and oxygen in a sample. The sample is completely and instantaneously oxidised by flash combustion, which converts all organic and inorganic substances into combustion products. The resulting combustion gases pass through a reduction furnace and are swept into the chromatographic column by the helium carrier gas. The gases are separated in the column and detected by the thermal conductivity detector, which gives an output signal proportional to the concentration of the individual components of the mixture. The instrument was originally manufactured by Thermo Finnigan, which was acquired by Thermo Electron and later Thermo Scientific (part of Thermo Fisher Scientific).
Cruise: RR2201
RR2201
R/V Roger Revelle
Community Standard Description
International Council for the Exploration of the Sea
R/V Roger Revelle
vessel
RR2201
Michael R. Landry
University of California-San Diego Scripps
http://hdl.handle.net/1834/43464
Report describing RR2201
R/V Roger Revelle
Community Standard Description
International Council for the Exploration of the Sea
R/V Roger Revelle
vessel