http://lod.bco-dmo.org/id/dataset/3149
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
2010-06-16
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Zooplankton biomass and species composition and abundance in the southeastern Caribbean Sea (Cariaco Basin) from October 2001 – January 2017 collected by the CARIACO Ocean Time-Series Program
2019-08-14
publication
2019-08-14
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-08-15
publication
https://doi.org/10.1575/1912/bco-dmo.3149.1
Yrene Astor
Estacion de Investigaciones Marinas de Margarita
principalInvestigator
Frank Muller-Karger
University of South Florida
principalInvestigator
Jaimie Rojas
Estacion de Investigaciones Marinas de Margarita
principalInvestigator
Ramon Varela
Estacion de Investigaciones Marinas de Margarita
principalInvestigator
Luis Gonzalez
Estacion de Investigaciones Marinas de Margarita
principalInvestigator
Javier Gutierrez
Estacion de Investigaciones Marinas de Margarita
principalInvestigator
Laura Lorenzoni
University of South Florida
principalInvestigator
Digna Rueda-Roa
University of South Florida
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: Rojas, J., Gonzalez, L., Gutierrez, J., Muller-Karger, F., Astor, Y., Varela, R., Lorenzoni, L., Rueda-Roa, D. (2019) Zooplankton biomass and species composition and abundance in the southeastern Caribbean Sea (Cariaco Basin) from October 2001 – January 2017 collected by the CARIACO Ocean Time-Series Program. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-08-14 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.3149.1 [access date]
Zooplankton biomass and species composition and abundance from CARIACO time series stations Dataset Description: <p>The CARIACO Ocean Time-Series Program (formerly known as CArbon Retention In A Colored Ocean) started on November 1995 (CAR-001) and ended on January 2017 (CAR-232). Monthly cruises were conducted to the CARIACO station (10.50° N, 64.67° W) onboard the R/V Hermano Ginés of the Fundación La Salle de Ciencias Naturales de Venezuela. The program studied the relationship between surface primary production, physical forcing variables like the wind, and the settling flux of particulate carbon in the Cariaco Basin. This depression, located on the continental shelf of Venezuela, shows marked seasonal and interannual variation in hydrographic properties and primary production (carbon fixation rates by photosynthesis of planktonic algae).</p>
<p>The CARIACO Ocean Time-Series study area is the Cariaco Basin, located on the continental shelf of Venezuela, in the southeastern Caribbean Sea. The Cariaco Basin is a large (∼160 km long, 70 km wide) and deep (∼1,400 m) basin, located on the Venezuelan continental shelf, with an area of approximately 11.200 km2; bound to the north by a sill connecting Margarita Island to Cabo Codera, at a mean depth of about 100 m with two channels breaching this sill (La Tortuga: ∼135 m and Centinela: ∼146 m). The basin is divided into two sub-basins, one eastern and one western, separated by a saddle of approximately 900 m deep. The Cariaco Basin region is between 10-11 degrees N and 64-66 degrees W.</p>
<p>The Cariaco Basin shows marked seasonal and interannual variation in hydrographic properties and primary production (carbon fixation rates by photosynthesis of planktonic algae) due to the seasonal coastal upwelling. The Cariaco Basin hydrography is affected by North-Atlantic gyre-scale processes, including dispersal of Subtropical Underwater and western boundary current variability, cross-equatorial flow of water masses, wind-driven upwelling compounded by geostrophic circulation, ventilation forced by Caribbean Sea eddies, and river discharge. Due to its restricted circulation and high primary production, the basin is anoxic below ~250 m.</p>
<p>Zooplankton sampling was done during each CARIACO time-series cruise from October 2001 to January 2017 (cruises CAR071 - CAR232). Oblique BONGO net tow samples from 200 m to the surface were analyzed to determine biomass (dry weight and ash content) and taxonomic composition. Empty values denote that a specific zooplankton group was not found at that cruise.</p>
<p>More information can be found in the following web pages:<br />
Web page of the CARIACO Ocean Time-Series Program: http://imars.usf.edu/cariaco<br />
General description: http://www.imars.usf.edu/cariaco<br />
Methodology: http://imars.usf.edu/publications/methods-cariaco<br />
List of publications: http://imars.usf.edu/view/biblio/803738/year</p>
<p>These data were also funded by the following awards:<br />
- 23914: Ley Orgánica de Ciencia, Tecnología e Innovación, LOCTI (Estación de Investigaciones Marinas), Venezuela.<br />
- 2011000353: Inter-American Institute for Global Change Research, IAI (IAI-CRN3094).</p> Methods and Sampling: <p>Zooplankton samples were collected during each monthly CARIACO time-series cruise from October 2001 to January 2017 (cruises 71-232). It was used a BONGO type net with two receptacles of 60 cm opening diameter and two different mesh sizes of 200 and 500 microns. A flowmeter was set at the opening of the 500 microns’ net to calculate the volume of water filtered. An oblique tow was made for ~15 minutes during the day (between 9 and 10 AM) from between 200 m deep to the surface. During the entire tow, the cable was maintained at an angle of 40-45 degrees with a clinometer. The ship’s speed during the tows was maintained around 1-1.5 knots, and the net was pulled upwards at a speed of 1 m/s. Once at the surface, the nets were washed with seawater, and the collecting jars contents were emptied in labeled glass bottles that were kept refrigerated until returning to the lab.&nbsp;</p>
<p>Zooplankton taxonomy was performed at Fundación La Salle de Ciencias Naturales, Estación de Investigaciones Marinas de Margarita (EDIMAR), Isla de Margarita, Venezuela. When zooplankton samples were returned to the lab (~12 hours later), formalin (5%) neutralized with borax was added to each sample for preservation. For processing, each sample was split in two aliquots with a Folsom splitter, one for biomass and the other for taxonomy. The aliquot for biomass calculation was washed with DI water to eliminate salt excess, dried in pre-weighted crucibles for 48 hours in an electric oven at a constant temperature of 60°C, and it was kept in a desiccator until measuring the Dry Weight (biomass). Afterwards, the dry sample was calcined in a muffle furnace at 450°C for 4 hours and weighted to measure Ash (inorganic remains). For taxonomy, aliquots were extracted and placed in a 10 ml Bogorov chamber in order to count and identify taxonomic groups present. Identification and counts were made using a stereomicroscope Baush &amp; Lomb (7x). Processed taxonomy samples were stored in the collection maintained at the Museo Oceanológico Hermano Benigno Román (MOBR - EDIMAR). The manuals used for zooplankton identification were Newell &amp; Newell (1977), Tregouboff &amp; Rose (1978), and Boltosvkoy (1981).</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-9401537 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9401537
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-9729697 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9729697
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-0326268 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0326268
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-9216626 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9216626
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-9711318 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9711318
Funding provided by National Aeronautics & Space Administration (NASA) Award Number: NAS5-97128
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-9415790 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9415790
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-9729284 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9729284
Funding provided by National Aeronautics & Space Administration (NASA) Award Number: NAG5-6448
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-0963028 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0963028
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-0752139 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0752139
Funding provided by Fondo Nacional de Ciencia, Tecnología e Innovación of Venezuela (FONACIT) Award Number: 96280221
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-0326313 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0326313
Funding provided by National Aeronautics & Space Administration (NASA) Award Number: NNX14AP62A Award URL: https://federalreporter.nih.gov/Projects/Details/?projectId=674021
Funding provided by Fondo Nacional de Ciencia, Tecnología e Innovación of Venezuela (FONACIT) Award Number: 2000001702
Funding provided by Fondo Nacional de Ciencia, Tecnología e Innovación of Venezuela (FONACIT) Award Number: 2011000353
completed
Yrene Astor
Estacion de Investigaciones Marinas de Margarita
Venezuela
yastor@edimar.org
pointOfContact
Frank Muller-Karger
University of South Florida
(727) 553-3335
College of Marine Science 140 7th Avenue South
St Petersburg
FL
33701
USA
carib@marine.usf.edu
pointOfContact
Jaimie Rojas
Estacion de Investigaciones Marinas de Margarita
pointOfContact
Ramon Varela
Estacion de Investigaciones Marinas de Margarita
Venezuela
rvarela@edimar.org
pointOfContact
Luis Gonzalez
Estacion de Investigaciones Marinas de Margarita
pointOfContact
Javier Gutierrez
Estacion de Investigaciones Marinas de Margarita
Venezuela
pointOfContact
Laura Lorenzoni
University of South Florida
727-553-3987
University of South Florida 140th 7th Av. South
St. Petersburg
FL
33701
USA
laural@marine.usf.edu
pointOfContact
Digna Rueda-Roa
University of South Florida
University of South Florida College of Marine Science
St. Petersburg
FL
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Cruise
Cruise_ID
Latitude
Longitude
Day
Month
Year
Date
Analyst
Mesh_Size
TOTAL_DENSITY
BIOMASS
ASH
COPEPODS
CALANOIDS
CYCLOPOIDA
HAPARCTICOIDA
POECILOSTOMATOIDA
L_FISH
H_FISH
CHAETOGNATHA
CLADOCEROS
OSTRACODA
FORAMINIFERA
AMPHIPODS
ISOPODS
EUPHAUSIIDS
MISYDACEA
SERGESTID
L_CRUSTACEA
N_COPEPOD
C_COPEPOD
N_CIRRIPEDIA
C_CIRRIPEDIA
L_DECAPODA
L_STOMATOPODA
L_EUPHAUSIID
L_SERGESTID
POLICHAETES
L_CYPHONAUTES
MEDUSA
SIPHONOPHORES
CTENOPHORES
L_ECHINODERMS
PTEROPODS
HETEROPODS
GASTROPODS
L_CEPHALOPODA
L_BIVALVE
L_GASTROPOD
PROTOZOAN
RADIOLARIAN
APPENDICULARIANS
SALPS
DOLIOLIDS
BIVALVES
H_CRUSTACEA
L_ANFIOXUS
LUCIFER
JUV_GASTROPOD
Bongo Nets
stereomicroscope
theme
None, User defined
cruise id
latitude
longitude
day of month
month of year
year
date
person name
net mesh size
abundance
biomass
dry_wgt
featureType
BCO-DMO Standard Parameters
Bongo Net
Microscope - Optical
instrument
BCO-DMO Standard Instruments
HG93_CARIACO
service
Deployment Activity
CARIACO 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.
Ocean Carbon and Biogeochemistry
http://us-ocb.org/
Ocean Carbon and Biogeochemistry
The Ocean Carbon and Biogeochemistry (OCB) program focuses on the ocean's role as a component of the global Earth system, bringing together research in geochemistry, ocean physics, and ecology that inform on and advance our understanding of ocean biogeochemistry. The overall program goals are to promote, plan, and coordinate collaborative, multidisciplinary research opportunities within the U.S. research community and with international partners. Important OCB-related activities currently include: the Ocean Carbon and Climate Change (OCCC) and the North American Carbon Program (NACP); U.S. contributions to IMBER, SOLAS, CARBOOCEAN; and numerous U.S. single-investigator and medium-size research projects funded by U.S. federal agencies including NASA, NOAA, and NSF.
The scientific mission of OCB is to study the evolving role of the ocean in the global carbon cycle, in the face of environmental variability and change through studies of marine biogeochemical cycles and associated ecosystems.
The overarching OCB science themes include improved understanding and prediction of: 1) oceanic uptake and release of atmospheric CO2 and other greenhouse gases and 2) environmental sensitivities of biogeochemical cycles, marine ecosystems, and interactions between the two.
The OCB Research Priorities (updated January 2012) include: ocean acidification; terrestrial/coastal carbon fluxes and exchanges; climate sensitivities of and change in ecosystem structure and associated impacts on biogeochemical cycles; mesopelagic ecological and biogeochemical interactions; benthic-pelagic feedbacks on biogeochemical cycles; ocean carbon uptake and storage; and expanding low-oxygen conditions in the coastal and open oceans.
OCB
largerWorkCitation
program
U.S. Joint Global Ocean Flux Study
http://usjgofs.whoi.edu/
U.S. Joint Global Ocean Flux Study
The United States Joint Global Ocean Flux Study was a national component of international JGOFS and an integral part of global climate change research.
The U.S. launched the Joint Global Ocean Flux Study (JGOFS) in the late 1980s to study the ocean carbon cycle. An ambitious goal was set to understand the controls on the concentrations and fluxes of carbon and associated nutrients in the ocean. A new field of ocean biogeochemistry emerged with an emphasis on quality measurements of carbon system parameters and interdisciplinary field studies of the biological, chemical and physical process which control the ocean carbon cycle. As we studied ocean biogeochemistry, we learned that our simple views of carbon uptake and transport were severely limited, and a new "wave" of ocean science was born. U.S. JGOFS has been supported primarily by the U.S. National Science Foundation in collaboration with the National Oceanic and Atmospheric Administration, the National Aeronautics and Space Administration, the Department of Energy and the Office of Naval Research. U.S. JGOFS, ended in 2005 with the conclusion of the Synthesis and Modeling Project (SMP).
U.S. JGOFS
largerWorkCitation
program
Ocean Time-series Sites
https://www.bco-dmo.org/program/562656
Ocean Time-series Sites
Program description text taken from Chapter 1: Introduction from the Global Intercomparability in a Changing Ocean: An International Time-Series Methods Workshop report published following the workshop held November 28-30, 2012 at the Bermuda Institute of Ocean Sciences. The full report is available from the workshop Web site hosted by US OCB: http://www.whoi.edu/website/TS-workshop/home
Decades of research have demonstrated that the ocean varies across a range of time scales, with anthropogenic forcing contributing an added layer of complexity. In a growing effort to distinguish between natural and human-induced earth system variability, sustained ocean time-series measurements have taken on a renewed importance. Shipboard biogeochemical time-series represent one of the most valuable tools scientists have to characterize and quantify ocean carbon fluxes and biogeochemical processes and their links to changing climate (Karl, 2010; Chavez et al., 2011; Church et al., 2013). They provide the oceanographic community with the long, temporally resolved datasets needed to characterize ocean climate, biogeochemistry, and ecosystem change.
The temporal scale of shifts in marine ecosystem variations in response to climate change are on the order of several decades. The long-term, consistent and comprehensive monitoring programs conducted by time-series sites are essential to understand large-scale atmosphere-ocean interactions that occur on interannual to decadal time scales. Ocean time-series represent one of the most valuable tools scientists have to characterize and quantify ocean carbon fluxes and biogeochemical processes and their links to changing climate.
Launched in the late 1980s, the US JGOFS (Joint Global Ocean Flux Study; http://usjgofs.whoi.edu) research program initiated two time-series measurement programs at Hawaii and Bermuda (HOT and BATS, respectively) to measure key oceanographic measurements in oligotrophic waters. Begun in 1995 as part of the US JGOFS Synthesis and Modeling Project, the CARIACO Ocean Time-Series (formerly known as the CArbon Retention In A Colored Ocean) Program has studied the relationship between surface primary production, physical forcing variables like the wind, and the settling flux of particulate carbon in the Cariaco Basin.
The objective of these time-series effort is to provide well-sampled seasonal resolution of biogeochemical variability at a limited number of ocean observatories, provide support and background measurements for process-oriented research, as well as test and validate observations for biogeochemical models. Since their creation, the BATS, CARIACO and HOT time-series site data have been available for use by a large community of researchers.
Data from those three US funded, ship-based, time-series sites can be accessed at each site directly or by selecting the site name from the Projects section below.
Ocean Time-series
largerWorkCitation
program
CARIACO Ocean Time-Series Program
http://www.imars.usf.edu/CAR/index.html
CARIACO Ocean Time-Series Program
<p>Since 1995, the CARIACO Ocean Time-Series (formerly known as the CArbon Retention In A Colored Ocean) Program has studied the relationship between surface primary production, physical forcing variables like the wind, and the settling flux of particulate carbon in the Cariaco Basin. This depression, located on the continental shelf of Venezuela (Map), shows marked seasonal and interannual variation in hydrographic properties and primary production (carbon fixation rates by photosynthesis of planktonic algae).</p>
<p>This peculiar basin is anoxic below ~250 m, due its restricted circulation and high primary production <a href="http://www.imars.usf.edu/CAR/ar.html#Muller-Karger-2001">(Muller-Karger et al., 2001)</a>. CARIACO observations show annual primary production rates exceed 500 gC/m<sup>2</sup>y, of which over 15-20% can be accounted for by events lasting one month or less. Such events are observed in other locations where time series observations are collected, and suggest that prior estimates of regional production based on limited sampling may have been underestimated. The annual primary production rates in the Cariaco Basin are comparable to rates estimated using time series observations for Monterey Bay (460 gC/m<sup>2</sup>y; <a href="http://www.imars.usf.edu/CAR/ar.html#Chavez">Chavez, 1996</a>), and higher than previous rates estimated for Georges Bank, the New York Shelf, and the Oregon Shelf (380, 300, and 190 gC/m<sup>2</sup>y, respectively; <a href="http://www.imars.usf.edu/CAR/ar.html#Walsh-1988">Walsh, 1988</a>).</p>
<p>The Cariaco Basin has long been the center of attention of scientists trying to explain paleoclimate. Due to its high rates of sedimentation (30 to >100 cm/ky; <a href="http://www.imars.usf.edu/CAR/ar.html#Peterson-2000">Peterson et al., 2000</a>) and excellent preservation, the varved sediments of the Cariaco Basin offer the opportunity to study high resolution paleoclimate and better understand the role of the tropics in global climate change ( <a href="http://www.imars.usf.edu/CAR/ar.html#Black">Black et al., 1999;</a> <a href="http://www.imars.usf.edu/CAR/ar.html#Peterson-2000">Peterson et al., 2000;</a> <a href="http://www.imars.usf.edu/CAR/ar.html#Haug-2001">Haug et al., 2001;</a> <a href="http://www.imars.usf.edu/CAR/ar.html#Black-2004">Black et al., 2004;</a> <a href="http://www.imars.usf.edu/CAR/ar.html#Hughen-2004">Hughen et al., 2004</a> ).</p>
<p>Now, the CARIACO program provides a link between the sediment record and processes near the surface of the ocean. Sediment traps maintained by the CARIACO program show that over 5% of autochtonous material reaches 275 m depth, and that nearly 2% reaches 1,400 m. The significance of this flux is that it represents a sink for carbon and that it helps explain the record of ancient climate stored at the bottom of the Cariaco Basin.</p>
<p>Acknowledgements: This work was supported by the National Science Foundation (NSF), the National Aeronautics and Space Administration (NASA), and Venezuela's Fondo Nacional de Ciencia, Tecnología e Innovación (FONACIT). For more information please see this <a href="http://www.imars.usf.edu/CAR/ar.html#Acknowledgments">Acknowledgements</a> link.</p>
CARIACO
largerWorkCitation
project
eng; USA
oceans
CARIACO basin
-64.682
-63.336
10.486
10.514
2001-10-09
2017-01-12
CARIACO basin
0
BCO-DMO catalogue of parameters from Zooplankton biomass and species composition and abundance in the southeastern Caribbean Sea (Cariaco Basin) from October 2001 – January 2017 collected by the CARIACO Ocean Time-Series Program
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/775324.rdf
Name: Cruise
Units: unitless
Description: number of the cruise
http://lod.bco-dmo.org/id/dataset-parameter/775325.rdf
Name: Cruise_ID
Units: unitless
Description: cruise ID for the CARIACO project
http://lod.bco-dmo.org/id/dataset-parameter/775326.rdf
Name: Latitude
Units: decimal degrees
Description: Latitude of observations with positive values indicating North
http://lod.bco-dmo.org/id/dataset-parameter/775327.rdf
Name: Longitude
Units: decimal degrees
Description: Longitude of observations with negative values indicating West
http://lod.bco-dmo.org/id/dataset-parameter/775328.rdf
Name: Day
Units: unitless
Description: day of sampling in dd format
http://lod.bco-dmo.org/id/dataset-parameter/775329.rdf
Name: Month
Units: unitless
Description: month of sampling in mm format
http://lod.bco-dmo.org/id/dataset-parameter/775330.rdf
Name: Year
Units: unitless
Description: year of sampling in yyyy format
http://lod.bco-dmo.org/id/dataset-parameter/775331.rdf
Name: Date
Units: unitless
Description: year-month-day of sampling event
http://lod.bco-dmo.org/id/dataset-parameter/775332.rdf
Name: Analyst
Units: unitless
Description: Person's name who analyzed the sample
http://lod.bco-dmo.org/id/dataset-parameter/775333.rdf
Name: Mesh_Size
Units: micrometers (um)
Description: Mesh size for the Bongo Net
http://lod.bco-dmo.org/id/dataset-parameter/775334.rdf
Name: TOTAL_DENSITY
Units: individuals per meter cubed (ind/m3)
Description: total density of zooplankton
http://lod.bco-dmo.org/id/dataset-parameter/775335.rdf
Name: BIOMASS
Units: miligrams per meter cubed (mg/m3)
Description: Dry weight biomass of sample
http://lod.bco-dmo.org/id/dataset-parameter/775336.rdf
Name: ASH
Units: miligrams per meter cubed (mg/m3)
Description: inorganic carbon ash
http://lod.bco-dmo.org/id/dataset-parameter/775337.rdf
Name: COPEPODS
Units: individual per meter cubed (ind/m3)
Description: abundance of Subclass Copepoda in sample
http://lod.bco-dmo.org/id/dataset-parameter/775338.rdf
Name: CALANOIDS
Units: individual per meter cubed (ind/m3)
Description: abundance of Order Calanoida in sample
http://lod.bco-dmo.org/id/dataset-parameter/775339.rdf
Name: CYCLOPOIDA
Units: individual per meter cubed (ind/m3)
Description: abundance of Order Cyclopoida in sample
http://lod.bco-dmo.org/id/dataset-parameter/775340.rdf
Name: HAPARCTICOIDA
Units: individual per meter cubed (ind/m3)
Description: abundance of Order Harpacticoida in sample
http://lod.bco-dmo.org/id/dataset-parameter/775341.rdf
Name: POECILOSTOMATOIDA
Units: individual per meter cubed (ind/m3)
Description: abundance of Order Poecilostomatoida in sample
http://lod.bco-dmo.org/id/dataset-parameter/775342.rdf
Name: L_FISH
Units: individual per meter cubed (ind/m3)
Description: abundance of Fish larvae (Class Actinopterygii) in sample
http://lod.bco-dmo.org/id/dataset-parameter/775343.rdf
Name: H_FISH
Units: individual per meter cubed (ind/m3)
Description: abundance of Fish eggs (Class Actinopterygii) in sample
http://lod.bco-dmo.org/id/dataset-parameter/775344.rdf
Name: CHAETOGNATHA
Units: individual per meter cubed (ind/m3)
Description: abundance of Phylum Chaetognatha in sample
http://lod.bco-dmo.org/id/dataset-parameter/775345.rdf
Name: CLADOCEROS
Units: individual per meter cubed (ind/m3)
Description: abundance of Infraorder Cladocera in sample
http://lod.bco-dmo.org/id/dataset-parameter/775346.rdf
Name: OSTRACODA
Units: individual per meter cubed (ind/m3)
Description: abundance of Class Ostracoda in sample
http://lod.bco-dmo.org/id/dataset-parameter/775347.rdf
Name: FORAMINIFERA
Units: individual per meter cubed (ind/m3)
Description: abundance of Phylum Foraminifera in sample
http://lod.bco-dmo.org/id/dataset-parameter/775348.rdf
Name: AMPHIPODS
Units: individual per meter cubed (ind/m3)
Description: abundance of Order Amphipoda in sample
http://lod.bco-dmo.org/id/dataset-parameter/775349.rdf
Name: ISOPODS
Units: individual per meter cubed (ind/m3)
Description: abundance of Order Isopoda in sample
http://lod.bco-dmo.org/id/dataset-parameter/775350.rdf
Name: EUPHAUSIIDS
Units: individual per meter cubed (ind/m3)
Description: abundance of Order Euphausiidae in sample
http://lod.bco-dmo.org/id/dataset-parameter/775351.rdf
Name: MISYDACEA
Units: individual per meter cubed (ind/m3)
Description: abundance of Order Mysida in sample
http://lod.bco-dmo.org/id/dataset-parameter/775352.rdf
Name: SERGESTID
Units: individual per meter cubed (ind/m3)
Description: abundance of Family Sergestidae in sample
http://lod.bco-dmo.org/id/dataset-parameter/775353.rdf
Name: L_CRUSTACEA
Units: individual per meter cubed (ind/m3)
Description: abundance of larvae of Subphylum Crustacea in sample
http://lod.bco-dmo.org/id/dataset-parameter/775354.rdf
Name: N_COPEPOD
Units: individual per meter cubed (ind/m3)
Description: abundance of nauplius of Subclass Copepoda in sample
http://lod.bco-dmo.org/id/dataset-parameter/775355.rdf
Name: C_COPEPOD
Units: individual per meter cubed (ind/m3)
Description: abundance of copepodite of Subclass Copepoda in sample
http://lod.bco-dmo.org/id/dataset-parameter/775356.rdf
Name: N_CIRRIPEDIA
Units: individual per meter cubed (ind/m3)
Description: abundance of nauplius of Infraclass Cirripedia in sample
http://lod.bco-dmo.org/id/dataset-parameter/775357.rdf
Name: C_CIRRIPEDIA
Units: individual per meter cubed (ind/m3)
Description: abundance of copepodite of Infraclass Cirripedia in sample
http://lod.bco-dmo.org/id/dataset-parameter/775358.rdf
Name: L_DECAPODA
Units: individual per meter cubed (ind/m3)
Description: abundance of larvae of Order Decapoda in sample
http://lod.bco-dmo.org/id/dataset-parameter/775359.rdf
Name: L_STOMATOPODA
Units: individual per meter cubed (ind/m3)
Description: abundance of larvae of Order Stomatopoda in sample
http://lod.bco-dmo.org/id/dataset-parameter/775360.rdf
Name: L_EUPHAUSIID
Units: individual per meter cubed (ind/m3)
Description: abundance of larvae of Family Euphausiidae in sample
http://lod.bco-dmo.org/id/dataset-parameter/775361.rdf
Name: L_SERGESTID
Units: individual per meter cubed (ind/m3)
Description: abundance of larvae of Family Sergestidae in sample
http://lod.bco-dmo.org/id/dataset-parameter/775362.rdf
Name: POLICHAETES
Units: individual per meter cubed (ind/m3)
Description: abundance of Class Polychaeta in sample
http://lod.bco-dmo.org/id/dataset-parameter/775363.rdf
Name: L_CYPHONAUTES
Units: individual per meter cubed (ind/m3)
Description: abundance of cyphonautes larvae of Phylum Bryozoa in sample
http://lod.bco-dmo.org/id/dataset-parameter/775364.rdf
Name: MEDUSA
Units: individual per meter cubed (ind/m3)
Description: abundance of menudasa of Phylum Cnidaria in sample
http://lod.bco-dmo.org/id/dataset-parameter/775365.rdf
Name: SIPHONOPHORES
Units: individual per meter cubed (ind/m3)
Description: abundance of Order Siphonophorae in sample
http://lod.bco-dmo.org/id/dataset-parameter/775366.rdf
Name: CTENOPHORES
Units: individual per meter cubed (ind/m3)
Description: abundance of Phylum Ctenophora in sample
http://lod.bco-dmo.org/id/dataset-parameter/775367.rdf
Name: L_ECHINODERMS
Units: individual per meter cubed (ind/m3)
Description: abundance of larvae of Phylum Echinodermata in sample
http://lod.bco-dmo.org/id/dataset-parameter/775368.rdf
Name: PTEROPODS
Units: individual per meter cubed (ind/m3)
Description: abundance of Order Pteropoda in sample
http://lod.bco-dmo.org/id/dataset-parameter/775369.rdf
Name: HETEROPODS
Units: individual per meter cubed (ind/m3)
Description: abundance of Superorder Pterotracheoidea in sample
http://lod.bco-dmo.org/id/dataset-parameter/775370.rdf
Name: GASTROPODS
Units: individual per meter cubed (ind/m3)
Description: abundance of Class Gastropoda in sample
http://lod.bco-dmo.org/id/dataset-parameter/775371.rdf
Name: L_CEPHALOPODA
Units: individual per meter cubed (ind/m3)
Description: abundance of larvae of Class Cephalopoda in sample
http://lod.bco-dmo.org/id/dataset-parameter/775372.rdf
Name: L_BIVALVE
Units: individual per meter cubed (ind/m3)
Description: abundance of larvae of Class Bivalvia in sample
http://lod.bco-dmo.org/id/dataset-parameter/775373.rdf
Name: L_GASTROPOD
Units: individual per meter cubed (ind/m3)
Description: abundance of larvae of Class Gastropoda in sample
http://lod.bco-dmo.org/id/dataset-parameter/775374.rdf
Name: PROTOZOAN
Units: individual per meter cubed (ind/m3)
Description: abundance of Kingdom Protozoa in sample
http://lod.bco-dmo.org/id/dataset-parameter/775375.rdf
Name: RADIOLARIAN
Units: individual per meter cubed (ind/m3)
Description: abundance of Phylum Radiozoa in sample
http://lod.bco-dmo.org/id/dataset-parameter/775376.rdf
Name: APPENDICULARIANS
Units: individual per meter cubed (ind/m3)
Description: abundance of Class Appendicularia in sample
http://lod.bco-dmo.org/id/dataset-parameter/775377.rdf
Name: SALPS
Units: individual per meter cubed (ind/m3)
Description: abundance of Family Salpidae in sample
http://lod.bco-dmo.org/id/dataset-parameter/775378.rdf
Name: DOLIOLIDS
Units: individual per meter cubed (ind/m3)
Description: abundance of Family Doliolidae in sample
http://lod.bco-dmo.org/id/dataset-parameter/775379.rdf
Name: BIVALVES
Units: individual per meter cubed (ind/m3)
Description: abundance of Class Bivalvia in sample
http://lod.bco-dmo.org/id/dataset-parameter/775380.rdf
Name: H_CRUSTACEA
Units: individual per meter cubed (ind/m3)
Description: abundance of eggs of Subphylum Crustacea in sample
http://lod.bco-dmo.org/id/dataset-parameter/775381.rdf
Name: L_ANFIOXUS
Units: individual per meter cubed (ind/m3)
Description: abundance of larvae of amphioxus of Genus Branchiostoma in sample
http://lod.bco-dmo.org/id/dataset-parameter/775382.rdf
Name: LUCIFER
Units: individual per meter cubed (ind/m3)
Description: abundance of Genus Lucifer in sample
http://lod.bco-dmo.org/id/dataset-parameter/775383.rdf
Name: JUV_GASTROPOD
Units: individual per meter cubed (ind/m3)
Description: abundance of juveniles of Class Gastropoda in sample
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
81888
https://darchive.mblwhoilibrary.org/bitstream/1912/24444/1/dataset-3149_zooplankton-biomass__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.3149.1
download
onLine
dataset
<p>Zooplankton samples were collected during each monthly CARIACO time-series cruise from October 2001 to January 2017 (cruises 71-232). It was used a BONGO type net with two receptacles of 60 cm opening diameter and two different mesh sizes of 200 and 500 microns. A flowmeter was set at the opening of the 500 microns’ net to calculate the volume of water filtered. An oblique tow was made for ~15 minutes during the day (between 9 and 10 AM) from between 200 m deep to the surface. During the entire tow, the cable was maintained at an angle of 40-45 degrees with a clinometer. The ship’s speed during the tows was maintained around 1-1.5 knots, and the net was pulled upwards at a speed of 1 m/s. Once at the surface, the nets were washed with seawater, and the collecting jars contents were emptied in labeled glass bottles that were kept refrigerated until returning to the lab.&nbsp;</p>
<p>Zooplankton taxonomy was performed at Fundación La Salle de Ciencias Naturales, Estación de Investigaciones Marinas de Margarita (EDIMAR), Isla de Margarita, Venezuela. When zooplankton samples were returned to the lab (~12 hours later), formalin (5%) neutralized with borax was added to each sample for preservation. For processing, each sample was split in two aliquots with a Folsom splitter, one for biomass and the other for taxonomy. The aliquot for biomass calculation was washed with DI water to eliminate salt excess, dried in pre-weighted crucibles for 48 hours in an electric oven at a constant temperature of 60°C, and it was kept in a desiccator until measuring the Dry Weight (biomass). Afterwards, the dry sample was calcined in a muffle furnace at 450°C for 4 hours and weighted to measure Ash (inorganic remains). For taxonomy, aliquots were extracted and placed in a 10 ml Bogorov chamber in order to count and identify taxonomic groups present. Identification and counts were made using a stereomicroscope Baush &amp; Lomb (7x). Processed taxonomy samples were stored in the collection maintained at the Museo Oceanológico Hermano Benigno Román (MOBR - EDIMAR). The manuals used for zooplankton identification were Newell &amp; Newell (1977), Tregouboff &amp; Rose (1978), and Boltosvkoy (1981).</p>
Specified by the Principal Investigator(s)
<p>BCO-DMO Processing Notes:<br />
- added conventional header with dataset name, PI name, version date<br />
- modified parameter names to conform with BCO-DMO naming conventions<br />
- replaced latitude/longitude values of -9999 with 10.492 and -64.672.</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 Nets
Bongo Nets
PI Supplied Instrument Name: Bongo Nets PI Supplied Instrument Description:BONGO type net towed with receptacles of 60cm opening diameter and two different mesh sizes, 200 and 500 microns. 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/
stereomicroscope
stereomicroscope
PI Supplied Instrument Name: stereomicroscope PI Supplied Instrument Description:stereomicroscope 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: HG93_CARIACO
HG93_CARIACO
B/O Hermano Gines
vessel
B/O Hermano Gines
vessel