http://lod.bco-dmo.org/id/dataset/3095 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) Time-Series of Phytoplankton Taxonomy and Density collected by the CARIACO Ocean Time-Series Project from November 1995 to January 2017 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.3095.1 Yrene Astor Estacion de Investigaciones Marinas de Margarita principalInvestigator Frank Muller-Karger University of South Florida principalInvestigator Luis Troccoli Universidad de Oriente, Venezuela principalInvestigator Ramon Varela Estacion de Investigaciones Marinas de Margarita principalInvestigator Rafael Diaz-Ramos Universidad de Oriente, Venezuela principalInvestigator Sonia Subero-Pino Universidad de Oriente, Venezuela 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: Troccoli, L., Diaz-Ramos, R., Subero-Pino, S., Muller-Karger, F., Astor, Y., Varela, R., Rueda-Roa, D., Klein, E. (2019) Time-Series of Phytoplankton Taxonomy and Density collected by the CARIACO Ocean Time-Series Project from November 1995 to January 2017. 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.3095.1 [access date] CARIACO time series Phytoplankton taxonomy from samples collected during CTD/Niskin casts Dataset Description: &lt;p&gt;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).&lt;/p&gt; &lt;p&gt;One of the monthly measurements taken by the program was water sampling at different depths for phytoplankton taxonomy (occurrence and density). Those water samples were collected with Niskin bottles during the first CTD Cast of the morning at 1, 7, 25, 35, 75, and 100 m depth. Phytoplankton taxonomy and density was determined at each depth at the level of species or genera. Values of zero are real and denote that a specific species was not found at that cruise/depth.&amp;nbsp;&lt;/p&gt; &lt;p&gt;Web page of the CARIACO Ocean Time-Series Program: http://imars.usf.edu/cariaco&lt;/p&gt; &lt;p&gt;A complete list of publications from the CARIACO Ocean Time-Series project can be found at: http://imars.usf.edu/view/biblio/803738/year&lt;/p&gt; &lt;p&gt;These data were also funded by the following awards:&lt;br /&gt; - 23914: Ley Orgánica de Ciencia, Tecnología e Innovación, LOCTI (Estación de Investigaciones Marinas), Venezuela.&lt;br /&gt; - 2011000353: Inter-American Institute for Global Change Research, IAI (IAI-CRN3094).&lt;/p&gt; Methods and Sampling: &lt;p&gt;Water was collected with a SeaBird rosette equipped with 12 (8 liter) teflon-coated Niskin bottles (bottle springs were also teflon-coated) at different depths. Water samples for phytoplankton taxonomy analysis were usually collected during the first CTD/Niskin Cast of the morning for the following depths: 1, 7, 25, 35, 75, and 100 m.&amp;nbsp;&lt;/p&gt; &lt;p&gt;The determination of microalgal taxonomy and abundance was carried out at the Laboratory of Phytoplankton of the Instituto Oceanográfico de Venezuela, Universidad de Oriente (Cumana, Venezuela), according to the Utermöhl sedimentation method that is described by Edler and Elbrächter (2010). Phytoplankton species were identified according to the works of Cupp (1943), Hasle et al. (1997), Berard-Thierrault et al. (1999) and Tenenbaum (2006).&lt;/p&gt; Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-9401537 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=9401537 Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-9729697 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=9729697 Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-0326268 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=0326268 Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-9216626 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=9216626 Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-9711318 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=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: https://www.nsf.gov/awardsearch/show-award?AWD_ID=9415790 Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-9729284 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=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: https://www.nsf.gov/awardsearch/show-award?AWD_ID=0963028 Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-0752139 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=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: https://www.nsf.gov/awardsearch/show-award?AWD_ID=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 Luis Troccoli Universidad de Oriente, Venezuela Universidad de Oriente Venezuela pointOfContact Ramon Varela Estacion de Investigaciones Marinas de Margarita Venezuela rvarela@edimar.org pointOfContact Rafael Diaz-Ramos Universidad de Oriente, Venezuela pointOfContact Sonia Subero-Pino Universidad de Oriente, Venezuela pointOfContact asNeeded Dataset Version: 1 Unknown Cruise Cruise_ID_2 Leg Cast Latitude Longitude Year_local Month_local Day_local Time_start_local Time_end_local Datetime_local Datetime_UTC SpeciesNameOriginal SpeciesNameCleaned ScientificName_accepted AphiaID d_1m d_7m d_15m d_25m d_35m d_55m d_75m d_100m Total_sum Microscopes Niskin Bottle theme None, User defined Cruise identfier leg of cruise cast latitude longitude year month of year day of month time_local ISO_DateTime_Local ISO_DateTime_UTC species scientific name (binomial) taxon_code abundance featureType BCO-DMO Standard Parameters Microscope - Optical Niskin bottle 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://osprey.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/m²y, 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/m²y; <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/m²y, 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 &gt;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 biota oceans CARIACO basin -64.693 -64.658 10.475 10.517 1995-11-08 2017-01-12 CARIACO basin 0 BCO-DMO catalogue of parameters from Time-Series of Phytoplankton Taxonomy and Density collected by the CARIACO Ocean Time-Series Project from November 1995 to January 2017 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/775152.rdf Name: Cruise Units: unitless Description: <p>number of cruise</p> http://lod.bco-dmo.org/id/dataset-parameter/775153.rdf Name: Cruise_ID_2 Units: unitless Description: <p>cruise ID for the CARIACO project</p> http://lod.bco-dmo.org/id/dataset-parameter/775154.rdf Name: Leg Units: unitless Description: <p>cruise leg number</p> http://lod.bco-dmo.org/id/dataset-parameter/775155.rdf Name: Cast Units: unitless Description: <p>CTD cast number</p> http://lod.bco-dmo.org/id/dataset-parameter/775156.rdf Name: Latitude Units: decimal degrees Description: <p>Latitude of observations with positive values indicating North</p> http://lod.bco-dmo.org/id/dataset-parameter/775157.rdf Name: Longitude Units: decimal degrees Description: <p>Longitude of observations with negative values indicating West</p> http://lod.bco-dmo.org/id/dataset-parameter/775158.rdf Name: Year_local Units: unitless Description: <p>year of sampling in yyyy format</p> http://lod.bco-dmo.org/id/dataset-parameter/775159.rdf Name: Month_local Units: unitless Description: <p>month of sampling in mm format</p> http://lod.bco-dmo.org/id/dataset-parameter/775160.rdf Name: Day_local Units: unitless Description: <p>day of sampling in dd format</p> http://lod.bco-dmo.org/id/dataset-parameter/775161.rdf Name: Time_start_local Units: unitless Description: <p>start time of hydrocast in Venezuelan Standard Time (VET)</p> http://lod.bco-dmo.org/id/dataset-parameter/775162.rdf Name: Time_end_local Units: unitless Description: <p>end time of hydrocast in Venezuelan Standard Time (VET)</p> http://lod.bco-dmo.org/id/dataset-parameter/775163.rdf Name: Datetime_local Units: unitless Description: <p>date and time in Venezuelan Standard Time (VET)</p> http://lod.bco-dmo.org/id/dataset-parameter/775164.rdf Name: Datetime_UTC Units: unitless Description: <p>date and time in UTC</p> http://lod.bco-dmo.org/id/dataset-parameter/775165.rdf Name: SpeciesNameOriginal Units: unitless Description: <p>species name as the person who did the taxonomy recorded it</p> http://lod.bco-dmo.org/id/dataset-parameter/775166.rdf Name: SpeciesNameCleaned Units: unitless Description: <p>cleaned species name</p> http://lod.bco-dmo.org/id/dataset-parameter/775167.rdf Name: ScientificName_accepted Units: unitless Description: <p>Accepted scientific name of the species.</p> http://lod.bco-dmo.org/id/dataset-parameter/775168.rdf Name: AphiaID Units: unitless Description: <p>Aphia ID</p> http://lod.bco-dmo.org/id/dataset-parameter/775169.rdf Name: d_1m Units: cells per milliliter (cells/mL) Description: <p>species count in 1 meter depth bottle sample</p> http://lod.bco-dmo.org/id/dataset-parameter/775170.rdf Name: d_7m Units: cells per milliliter (cells/mL) Description: <p>species count in 7 meter depth bottle sample</p> http://lod.bco-dmo.org/id/dataset-parameter/775171.rdf Name: d_15m Units: cells per milliliter (cells/mL) Description: <p>species count in 15 meter depth bottle sample</p> http://lod.bco-dmo.org/id/dataset-parameter/775172.rdf Name: d_25m Units: cells per milliliter (cells/mL) Description: <p>species count in 25 meter depth bottle sample</p> http://lod.bco-dmo.org/id/dataset-parameter/775173.rdf Name: d_35m Units: cells per milliliter (cells/mL) Description: <p>species count in 35 meter depth bottle sample</p> http://lod.bco-dmo.org/id/dataset-parameter/775174.rdf Name: d_55m Units: cells per milliliter (cells/mL) Description: <p>species count in 55 meter depth bottle sample</p> http://lod.bco-dmo.org/id/dataset-parameter/775175.rdf Name: d_75m Units: cells per milliliter (cells/mL) Description: <p>species count in 75 meter depth bottle sample</p> http://lod.bco-dmo.org/id/dataset-parameter/775176.rdf Name: d_100m Units: cells per milliliter (cells/mL) Description: <p>species count in 100 meter depth bottle sample</p> http://lod.bco-dmo.org/id/dataset-parameter/775177.rdf Name: Total_sum Units: count Description: <p>species count for profile</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 16712321 https://darchive.mblwhoilibrary.org/bitstream/1912/24443/1/dataset-3095_phytoplankton-taxonomy__v1.tsv download https://doi.org/10.1575/1912/bco-dmo.3095.1 download onLine dataset &lt;p&gt;Water was collected with a SeaBird rosette equipped with 12 (8 liter) teflon-coated Niskin bottles (bottle springs were also teflon-coated) at different depths. Water samples for phytoplankton taxonomy analysis were usually collected during the first CTD/Niskin Cast of the morning for the following depths: 1, 7, 25, 35, 75, and 100 m.&amp;nbsp;&lt;/p&gt; &lt;p&gt;The determination of microalgal taxonomy and abundance was carried out at the Laboratory of Phytoplankton of the Instituto Oceanográfico de Venezuela, Universidad de Oriente (Cumana, Venezuela), according to the Utermöhl sedimentation method that is described by Edler and Elbrächter (2010). Phytoplankton species were identified according to the works of Cupp (1943), Hasle et al. (1997), Berard-Thierrault et al. (1999) and Tenenbaum (2006).&lt;/p&gt; Specified by the Principal Investigator(s) &lt;p&gt;BCO-DMO Processing Notes:&lt;br /&gt; -&amp;nbsp;added conventional header with dataset name, PI name, version date&lt;br /&gt; - modified parameter names to conform with BCO-DMO naming conventions&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt; 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 Microscopes Microscopes PI Supplied Instrument Name: Microscopes PI Supplied Instrument Description:Microscopes 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/ Niskin Bottle Niskin Bottle PI Supplied Instrument Name: Niskin Bottle Instrument Name: Niskin bottle Instrument Short Name:Niskin bottle Instrument Description: A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24, or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc. Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/ Cruise: HG93_CARIACO HG93_CARIACO B/O Hermano Gines vessel B/O Hermano Gines vessel