http://lod.bco-dmo.org/id/dataset/834776
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
2020-12-30
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Larval Atlantic Bluefin Tuna prey from gut analysis, collected on NOAA Ship R/V Nancy Foster cruises NF1704 and NF1802 in the Gulf of Mexico, May 2017 and May 2018.
2020-12-30
publication
2020-12-30
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2021-01-07
publication
https://doi.org/10.26008/1912/bco-dmo.834776.1
Akihiro Shiroza
University of Miami
principalInvestigator
Rasmus Swalethorp
University of California-San Diego
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: Shiroza, A., Swalethrop, R. (2021) Larval Atlantic Bluefin Tuna prey from gut analysis, collected on NOAA Ship R/V Nancy Foster cruises NF1704 and NF1802 in the Gulf of Mexico, May 2017 and May 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-12-30 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.834776.1 [access date]
Bluefin tuna gut analysis Dataset Description: Methods and Sampling: <p>Larval sampling:<br />
Larval Atlantic Bluefin Tuna (ABT) were collected during the peak spawning period in the GoM during May of 2017 (NF1704) and 2018 (NF1802). Samples were taken with a dual 90 cm diameter bongo frame (bongo-90) equipped with 500-µm synthetic nylon mesh nets by oblique hauls in the upper 25 m of the water column and towed at an average over-ground speed of 2.22 knots for 10 minutes (Habtes et al., 2014; Laiz-Carrion et al.,2015). Filtered volumes were calculated with a mechanical flowmeter (2030R, General Oceanics Inc.) placed in the center of the net mouths. Larval patches were located by transect net sampling and real-time sample sorting (every ~10 nautical miles) across favorable habitat (Domingues et al., 2016) with a higher probability of containing ABT larvae. Once larvae were detected, the core of the patch was located and marked with a drogued satellite-tracked drifter equipped with a strobe light, beginning a 3–4 day experimental cycle during which the ABT larvae were sampled close to the drifter every 3 hours. Three cycle experiments (C1, C2, and C3) were conducted on the NF1704 cruise, and two cycles (C4 and C5) were done on NF1802—ABT larvae were only abundant during C1 and C5.</p>
<p>Upon collection, left bongo-90 samples were immediately fixed in 95% EtOH and the right bongo-90 samples were immediately sorted for ABT larvae. Contents were concentrated on a sieve using 50-µm filtered cold seawater and placed in a large petri dish in a Styrofoam box with ice while sorting. Using a dissecting microscope (MZ12, Leica Microsystems), ABT larvae were removed from small portions of the wet sample that could be sorted within 10 minutes and placed in a small petri dish in the cooler. The remaining zooplankton in the sample were immediately fixed with 95% EtOH. The collected zooplankton volume was generally small (&lt;250 mL during the day), but some night samples exceeded 1 L. For larger samples, sorting was halted within 1 hour and fixed to prevent sample degradation; sorting was resumed back in the lab. Fixative was refreshed after 24 hours to prevent sample degradation from dilution.</p>
<p>Gut analysis:<br />
The alimentary canal from pharynx to anus was dissected using tweezers and scalpel by carefully tracing and cutting along the dorsal margin of the gut from anus to operculum, just deep enough to allow access to the organs. Another deeper cut was made under the operculum and gills to separate the pharynx from the head, and tweezers were used to open the lateral muscular membrane and pick out the internal organs. The digestive tract was carefully opened from anus to stomach using sharpened tips of insect pins, and contents were isolated and imaged. We recorded the location of each prey item in three sections of the alimentary canal: foregut (from pharynx to stomach), midgut (anterior intestine, a large ventral pouch), and hindgut (posterior intestine, a narrow tube connecting dorsally over the right side of the stomach to the anus).</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1851558 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1851558
Funding provided by National Oceanic and Atmospheric Administration (NOAA) Award Number: NA16NMF4320058 Award URL: https://grantsonline.rdc.noaa.gov/flows/publicSearch/showAwardDetails.do?awdNum=NA16NMF4320058
Funding provided by National Oceanic and Atmospheric Administration (NOAA) Award Number: NA15OAR4320071 Award URL: https://grantsonline.rdc.noaa.gov/flows/publicSearch/showAwardDetails.do?awdNum=NA15OAR4320071
completed
Akihiro Shiroza
University of Miami
+1 786 642 1980
3-31-7 Nerima Nerima-ku
Tokyo
176-0001
Japan
a.shiroza@mac.com
pointOfContact
Rasmus Swalethorp
University of California-San Diego
858-951-7360
9500 Gilman Drive #0206
La Jolla
CA
92093-0206
USA
rswalethorp@ucsd.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Cruise
Date
Time
ISO_DateTime
Station
Latitude
Longitude
Sample_no
ABT_ID
ABT_SL_EtOH
Flexion_stage
Items_per_gut
Vial
Taxonomic_level
Taxa
Taxa_group
No_of_prey
Prey_location
Length_mm
Prey_to_Larval_length
Weight_ug_C
Total_weight_ug_C
Size_group_um
Size_group_2
Size_group_2_midpoint
Accept_Reject
ID_taxa
ID_size
Bongo net
2030R, General Oceanics Inc.
Dissecting microscope: MZ12, Leica Microsystems
theme
None, User defined
cruise id
date
time of day
ISO_DateTime_UTC
station
latitude
longitude
sample identification
length
stage
count
taxon
No BCO-DMO term
weight
flag
featureType
BCO-DMO Standard Parameters
Bongo Net
Drifter Buoy
Flow Meter
Microscope - Optical
instrument
BCO-DMO Standard Instruments
NF1704
NF1802
service
Deployment Activity
Gulf of Mexico
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://www.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
Effects of Nitrogen Sources and Plankton Food-Web Dynamics on Habitat Quality for the Larvae of Atlantic Bluefin Tuna in the Gulf of Mexico
https://www.bco-dmo.org/project/834957
Effects of Nitrogen Sources and Plankton Food-Web Dynamics on Habitat Quality for the Larvae of Atlantic Bluefin Tuna in the Gulf of Mexico
<p>Amendment #136: Current stock assessments for the Gulf of Mexico require better ecosystem understanding to effectively evaluate how bottom-up processes limit or enhance Atlantic Bluefin Tuna recruitment. The objective of this proposal is to elucidate the underlying mechanisms that link variability in nitrogen sources and food-web fluxes in the Gulf of Mexico to habitat quality, feeding, growth and survival for Atlantic Bluefin Tuna larvae. This proposal addresses the Program Priority: Comprehensive understanding of living coastal and marine resources, food web dynamics, habitat utilization, protected areas, and carbon flows, specifically "(d) Food web structure and dynamics, trophic linkages, and/or predator-prey relationships, especially projects that develop and/or apply new techniques or technologies".</p>
GoMex Tuna Foodweb B
largerWorkCitation
project
Effects of Nitrogen Sources and Plankton Food-Web Dynamics On Habitat Quality for the Larvae of Bluefin Tuna in the Gulf Of Mexico
https://www.bco-dmo.org/project/834961
Effects of Nitrogen Sources and Plankton Food-Web Dynamics On Habitat Quality for the Larvae of Bluefin Tuna in the Gulf Of Mexico
<p>Amendment #66: Current stock assessments for the Gulf of Mexico require better ecosystem understanding to effectively evaluate how bottom-up processes limit or enhance Atlantic Bluefin Tuna recruitment. The objective of this proposal is to elucidate the underlying mechanisms that link variability in nitrogen sources and food-web fluxes in the Gulf of Mexico to habitat quality, feeding, growth and survival for Atlantic Bluefin Tuna larvae. This proposal addresses the Program Priority: Comprehensive understanding of living coastal and marine resources, food web dynamics, habitat utilization, protected areas, and carbon flows, specifically "(d) Food web structure and dynamics, trophic linkages, and/or predator-prey relationships, especially projects that develop and/or apply new techniques or technologies".</p>
GoMex Tuna Foodweb A
largerWorkCitation
project
eng; USA
biota
oceans
Gulf of Mexico
-88.209598
-87.306876
25.642115
28.33416
2017-05-10
2018-05-19
From projects that focused on the following 2 locations: 1. Eastern Indian Ocean, Indonesian Throughflow area, and the Gulf of Mexico 2. Gulf of Mexico
0
BCO-DMO catalogue of parameters from Larval Atlantic Bluefin Tuna prey from gut analysis, collected on NOAA Ship R/V Nancy Foster cruises NF1704 and NF1802 in the Gulf of Mexico, May 2017 and May 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/834850.rdf
Name: Cruise
Units: unitless
Description: Sampled cruise
http://lod.bco-dmo.org/id/dataset-parameter/834851.rdf
Name: Date
Units: unitless
Description: Sampled date
http://lod.bco-dmo.org/id/dataset-parameter/834852.rdf
Name: Time
Units: unitless
Description: Sampling start time
http://lod.bco-dmo.org/id/dataset-parameter/834853.rdf
Name: ISO_DateTime
Units: unitless
Description: description
http://lod.bco-dmo.org/id/dataset-parameter/834854.rdf
Name: Station
Units: unitless
Description: Sampled station
http://lod.bco-dmo.org/id/dataset-parameter/834855.rdf
Name: Latitude
Units: decimal degrees
Description: Position
http://lod.bco-dmo.org/id/dataset-parameter/834856.rdf
Name: Longitude
Units: decimal degrees
Description: Position
http://lod.bco-dmo.org/id/dataset-parameter/834857.rdf
Name: Sample_no
Units: unitless
Description: Bongo-90 sample number
http://lod.bco-dmo.org/id/dataset-parameter/834858.rdf
Name: ABT_ID
Units: unitless
Description: Atlantic bluefin tuna larval ID
http://lod.bco-dmo.org/id/dataset-parameter/834859.rdf
Name: ABT_SL_EtOH
Units: millimeters
Description: Larvae Standard Length in EtOH
http://lod.bco-dmo.org/id/dataset-parameter/834860.rdf
Name: Flexion_stage
Units: unitless
Description: Preflexion; Flexion; Postflexion
http://lod.bco-dmo.org/id/dataset-parameter/834861.rdf
Name: Items_per_gut
Units: items
Description: Total number of prey items found from this larvae
http://lod.bco-dmo.org/id/dataset-parameter/834862.rdf
Name: Vial
Units: unitless
Description: Isolated prey vial number
http://lod.bco-dmo.org/id/dataset-parameter/834863.rdf
Name: Taxonomic_level
Units: unitless
Description: For those who are not familiar with zooplankton taxa
http://lod.bco-dmo.org/id/dataset-parameter/834864.rdf
Name: Taxa
Units: unitless
Description: Identified prey taxa
http://lod.bco-dmo.org/id/dataset-parameter/834865.rdf
Name: Taxa_group
Units: unitless
Description: Grouping for analysis
http://lod.bco-dmo.org/id/dataset-parameter/834866.rdf
Name: No_of_prey
Units: individual prey
Description: Number of prey in vial
http://lod.bco-dmo.org/id/dataset-parameter/834867.rdf
Name: Prey_location
Units: unitless
Description: 1=fore gut; 2=mid gut; 3=hind gut
http://lod.bco-dmo.org/id/dataset-parameter/834868.rdf
Name: Length_mm
Units: millimeters
Description: Dorsal prey length
http://lod.bco-dmo.org/id/dataset-parameter/834869.rdf
Name: Prey_to_Larval_length
Units: unitless
Description: For analysis
http://lod.bco-dmo.org/id/dataset-parameter/834870.rdf
Name: Weight_ug_C
Units: micrograms Carbon
Description: Carbon weight of taxa group
http://lod.bco-dmo.org/id/dataset-parameter/834871.rdf
Name: Total_weight_ug_C
Units: micrograms Carbon
Description: Total carbon weight in vial
http://lod.bco-dmo.org/id/dataset-parameter/834872.rdf
Name: Size_group_um
Units: micrometers
Description: Size grouping; for analyses
http://lod.bco-dmo.org/id/dataset-parameter/834873.rdf
Name: Size_group_2
Units: micrometers
Description: Size grouping 2; for analyses
http://lod.bco-dmo.org/id/dataset-parameter/834874.rdf
Name: Size_group_2_midpoint
Units: micrometers
Description: Midpoint of size group 2; for analyses
http://lod.bco-dmo.org/id/dataset-parameter/834875.rdf
Name: Accept_Reject
Units: unitless
Description: Missing data identifier
http://lod.bco-dmo.org/id/dataset-parameter/834876.rdf
Name: ID_taxa
Units: unitless
Description: Taxa identifier; for analyses
http://lod.bco-dmo.org/id/dataset-parameter/834877.rdf
Name: ID_size
Units: unitless
Description: Size identifier; for analyses
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
378587
https://darchive.mblwhoilibrary.org/bitstream/1912/26539/1/dataset-834776_bloofinz-gomabtprey__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.834776.1
download
onLine
dataset
<p>Larval sampling:<br />
Larval Atlantic Bluefin Tuna (ABT) were collected during the peak spawning period in the GoM during May of 2017 (NF1704) and 2018 (NF1802). Samples were taken with a dual 90 cm diameter bongo frame (bongo-90) equipped with 500-µm synthetic nylon mesh nets by oblique hauls in the upper 25 m of the water column and towed at an average over-ground speed of 2.22 knots for 10 minutes (Habtes et al., 2014; Laiz-Carrion et al.,2015). Filtered volumes were calculated with a mechanical flowmeter (2030R, General Oceanics Inc.) placed in the center of the net mouths. Larval patches were located by transect net sampling and real-time sample sorting (every ~10 nautical miles) across favorable habitat (Domingues et al., 2016) with a higher probability of containing ABT larvae. Once larvae were detected, the core of the patch was located and marked with a drogued satellite-tracked drifter equipped with a strobe light, beginning a 3–4 day experimental cycle during which the ABT larvae were sampled close to the drifter every 3 hours. Three cycle experiments (C1, C2, and C3) were conducted on the NF1704 cruise, and two cycles (C4 and C5) were done on NF1802—ABT larvae were only abundant during C1 and C5.</p>
<p>Upon collection, left bongo-90 samples were immediately fixed in 95% EtOH and the right bongo-90 samples were immediately sorted for ABT larvae. Contents were concentrated on a sieve using 50-µm filtered cold seawater and placed in a large petri dish in a Styrofoam box with ice while sorting. Using a dissecting microscope (MZ12, Leica Microsystems), ABT larvae were removed from small portions of the wet sample that could be sorted within 10 minutes and placed in a small petri dish in the cooler. The remaining zooplankton in the sample were immediately fixed with 95% EtOH. The collected zooplankton volume was generally small (&lt;250 mL during the day), but some night samples exceeded 1 L. For larger samples, sorting was halted within 1 hour and fixed to prevent sample degradation; sorting was resumed back in the lab. Fixative was refreshed after 24 hours to prevent sample degradation from dilution.</p>
<p>Gut analysis:<br />
The alimentary canal from pharynx to anus was dissected using tweezers and scalpel by carefully tracing and cutting along the dorsal margin of the gut from anus to operculum, just deep enough to allow access to the organs. Another deeper cut was made under the operculum and gills to separate the pharynx from the head, and tweezers were used to open the lateral muscular membrane and pick out the internal organs. The digestive tract was carefully opened from anus to stomach using sharpened tips of insect pins, and contents were isolated and imaged. We recorded the location of each prey item in three sections of the alimentary canal: foregut (from pharynx to stomach), midgut (anterior intestine, a large ventral pouch), and hindgut (posterior intestine, a narrow tube connecting dorsally over the right side of the stomach to the anus).</p>
Specified by the Principal Investigator(s)
<p><strong>BCO-DMO Processing Notes:</strong><br />
- data submitted in Excel file "201016145704_BLOOFINZ_GoM_ABT_prey_Shiroza_BCO-DMO.xlsx" sheet "Data" extracted to csv<br />
- added conventional header with dataset name, PI name, version date<br />
- renamed columns to conform with BCO-DMO naming conventions (removed units and special characters)<br />
- added column ISO_DateTime by combining Date and Time columns<br />
- reduced precision of Prey_to_Larval_length, Weight_ug_C, Total_weight_ug_C to 4 digits to reflect sampling precision methods<br />
- replaced blank cells with no data value 'nd', the default missing data identifier in the BCO-DMO system.</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
Bongo net
Bongo net
PI Supplied Instrument Name: Bongo net PI Supplied Instrument Description:Samples were taken with a dual 90 cm diameter bongo frame (bongo-90) equipped with 500-µm synthetic nylon mesh nets. 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/
PI Supplied Instrument Name: PI Supplied Instrument Description:a drogued satellite-tracked drifter equipped with a strobe light used to track the larval tuna patch. Instrument Name: Drifter Buoy Instrument Short Name: Instrument Description: Drifting buoys are free drifting platforms with a float or buoy that keep the drifter at the surface and underwater sails or socks that catch the current. These instruments sit at the surface of the ocean and are transported via near-surface ocean currents. They are not fixed to the ocean bottom, therefore they "drift" with the currents. For this reason, these instruments are referred to as drifters, or drifting buoys.
The surface float contains sensors that measure different parameters, such as sea surface temperature, barometric pressure, salinity, wave height, etc. Data collected from these sensors are transmitted to satellites passing overhead, which are then relayed to land-based data centers.
definition sources: https://mmisw.org/ont/ioos/platform/drifting_buoy and https://www.aoml.noaa.gov/phod/gdp/faq.php#drifter1
2030R, General Oceanics Inc.
2030R, General Oceanics Inc.
PI Supplied Instrument Name: 2030R, General Oceanics Inc. PI Supplied Instrument Description:Used to calculate volume filtered by the bongo nets 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/
Dissecting microscope: MZ12, Leica Microsystems
Dissecting microscope: MZ12, Leica Microsystems
PI Supplied Instrument Name: Dissecting microscope: MZ12, Leica Microsystems PI Supplied Instrument Description:Used to sort samples 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/
Cruise: NF1704
NF1704
R/V Nancy Foster
Community Standard Description
International Council for the Exploration of the Sea
R/V Nancy Foster
vessel
NF1704
Estrella Malca
University of Miami
https://datadocs.bco-dmo.org/docs/302/BLOOFINZ_IO/data_docs/cruise_reports/NF1704_CRUISE_REPORT.pdf
Report describing NF1704
Cruise: NF1802
NF1802
R/V Nancy Foster
Community Standard Description
International Council for the Exploration of the Sea
R/V Nancy Foster
vessel
NF1802
John Lamkin
NOAA Southeast Fisheries Science Center
https://datadocs.bco-dmo.org/docs/302/BLOOFINZ_IO/data_docs/cruise_reports/NF1802_CRUISE_REPORT.pdf
Report describing NF1802
R/V Nancy Foster
Community Standard Description
International Council for the Exploration of the Sea
R/V Nancy Foster
vessel