http://lod.bco-dmo.org/id/dataset/955473
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
2025-03-07
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Physicochemical and phytoplankton data collected during the STRATIPHYT I and II cruises in the Northeast Atlantic Ocean. Cruises took place during the summer of 2009 and spring of 2011 aboard the R/V Pelagia.
2025-03-07
publication
2025-03-07
revision
BCO-DMO Linked Data URI
2025-03-07
creation
http://lod.bco-dmo.org/id/dataset/955473
Corina Brussaard
Royal Netherlands Institute for Sea Research
principalInvestigator
Kristina D. A. Mojica
Royal Netherlands Institute for Sea Research
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: Mojica, K. D., Brussaard, C. (2025) Physicochemical and phytoplankton data collected during the STRATIPHYT I and II cruises in the Northeast Atlantic Ocean. Cruises took place during the summer of 2009 and spring of 2011 aboard the R/V Pelagia. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-03-07 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/955473 [access date]
Phytoplankton community composition in relation to vertical stratification Dataset Description: <p><strong>Data have not been made public due to unanswered questions and data quality issues. Final review by the data submitter was not received after it was imported into the BCO-DMO data system.</strong></p> Methods and Sampling: <p>Sampling location: Northeast Atlantic&nbsp;in the area located between 29 degN and 63degN (~15 degW), which spans from the Canary Islands to Iceland. Water samples were collected in the top 250 m from at least 10 separate depths.&nbsp;During each cruise, 32 stations (separated by approximately 100 km) were sampled.</p>
<p>Water samples were collected in the top 250 m from at least 10 separate depths using 24 plastic samplers (General Oceanics type Go-Flow, 10 liter) during STRATIPHYT I and Teflon samplers (NIOZ design Pristine Bottles, 27 L) during STRATIPHYT II. Samplers were mounted on an ultra-clean (trace-metal free) system consisting of a fully titanium sampler frame equipped with CTD (Seabird 91; standard conductivity, temperature, and pressure sensors) and auxiliary sensors for chlorophyll autofluorescence (Chelsea Aquatracka Mk III), light transmission (Wet-Labs C-star) and photosynthetic active radiation (PAR; Satlantic). Data from the chlorophyll autofluorescence sensor were calibrated against HPLC data according to van de Poll et al. (2013) to determine total chlorophyll a (Chl a) for this study. Samples were taken inside a 6 m Clean Container from each depth for inorganic nutrients (5 mL), flow cytometry (10 mL), and phytoplankton pigments (10 L).</p>
<p>Temperature eddy diffusivity (KT) data, referred to here as the vertical mixing coefficient, were derived from temperature and conductivity microstructure profiles measured using the commercial microstructure profiler Self Contained Autonomous Microprofiler (SCAMP) . A detailed description of SCAMP methodology and data for both STRATIPHYT cruises have been described by Jurado et al. (2012a,b). The SCAMP was deployed at fewer stations (i.e., 17 and 14 in spring and summer, respectively) and to lower depths (up to 100 m) than the remainder of the data (23 stations and up to 250 m depth) in this study. To correct for this deficiency, data were interpolated using the spatial kriging function “krig” executed in R using the “fields” package (Furrer et al. 2012). Interpolated KT values were bounded below by the minimum value measured for each of the two cruise datasets; the upper values were left unbounded. This resulted in estimated KT values which preserved the qualitative pattern and range of values previously reported (Jurado et al. 2012a,b), i.e., continuous stratification during the summer STRATIPHYT I cruise and two distinct zones of mixing during the spring STRATIPHYT II cruise; stratification in the south and deep strong mixing in the north. SCAMP data were also used to quantify the strength of background&nbsp; stratification according to the square of the Brunt–Vaisala frequency. N^2 values were depth averaged over the top 100 m of the water column and classified based on the following criteria: N^2&lt;2 x10^-5 rad^2 s^-2 for nonstratified, 2 x 10^-5&lt;N^2&lt;5 x 10-5 rad^2 s^-2 for weakly stratified&nbsp;and N^2&gt;5 x 10^-5 rad^2 s^-2 for strongly stratified. In addition, the depth of the mixed layer (Zm), was determined as the depth at which the temperature difference with respect to the surface was 0.5degC.</p>
<p>Discrete water samples for dissolved inorganic phosphate (PO4), ammonium (NH4), nitrate (NO3), and nitrite (NO2) were gently filtered through 0.2 lm pore size polysulfone Acrodisk filters (32 mm, Pall), after which samples were stored at -20degC until analysis. Dissolved inorganic nutrients were analyzed onboard using a Bran+Luebbe Quaatro Auto- Analyzer for dissolved orthophosphate (Murphy and Riley 1962), inorganic nitrogen (nitrate+nitrite: NOx) (Grasshoff 1983) and ammonium (Koroleff 1969; Helder and De Vries 1979). Detection limits ranged between the two cruises from 0.06-0.10 microM for NOx, 0.010-0.028&nbsp;microM for PO4 and 0.05-0.09&nbsp;microM for NH4.</p>
<p>Phytoplankton consisting of photoautotrophic prokaryotic cyanobacteria and eukaryotic algae&lt;20 microns were enumerated on fresh samples using a Becton-Dickinson FACSCalibur flow cytometer (FCM) equipped with an air-cooled Argon laser with an excitation wavelength of 488 nm (15 mW). Samples were measured for 10 min using a high flow rate with the discriminator set on red chlorophyll autofluorescence. Phytoplankton populations were distinguished using bivariate scatter plots of autofluorescent properties (orange autofluorescence from phycoerythrin for the cyanobacteria Synechococcus spp. and red autofluorescence from Chl a for photoautotrophs) against side scatter. The obtained list-mode files were analyzed using the freeware CYTOWIN (Vaulot 1989). Regularly throughout the cruise transect, size-fractionation was performed to provide average cell size for the different phytoplankton subpopulations. Specifically, a whole water sample (10 mL) was size-fractionated by sequential gravity filtration through 8, 5 , 3, 2, 1, 0.8, and 0.4 micron pore-size polycarbonate filters. Each fraction was then analyzed using FCM as described above. The equivalent spherical diameter for each population was determined as the size displayed by the median (50%) number of cells retained for that cluster. In total nine different phytoplankton populations were distinguished, consisting of six eukaryotic and three cyanobacterial populations, i.e., Synechococcus spp. (average size range between the two cruises of 0.9-1.0 micron), Prochlorococcus high light population (HL; 0.6&nbsp;micron) and Prochlorococcus low light population (LL; 0.7-0.8&nbsp;micron). The photosynthetic eukaryotic populations consisted of two pico-sized groups, i.e., Pico I (1.0-1.4&nbsp;micron) and Pico II (1.5-2.0&nbsp;micron), and four nano-sized groups, i.e., Nano I (3-4&nbsp;micron), Nano II (6-8&nbsp;micron), Nano III (8-9&nbsp;micron), and Nano IV (9&nbsp;micron). To estimate the contribution of the different phytoplankton groups to carbon biomass, carbon-conversion factors were applied to FCM cell counts. Specifically, cell counts were transformed assuming spherical diameters equivalent to the average cell size determined from size fractionation and applying conversion factors of 237 fg C per cubic micrometer (Worden et al. 2004) and 196.5 fg C&nbsp;per cubic micrometer&nbsp;&nbsp;for pico- and nano-sized plankton (Garrison et al. 2000), respectively.</p>
<p>Phytoplankton taxonomic composition was determined by pigment analysis of 10 L GF/F filtered samples (47 mm, Whatman; flash frozen and stored at 2808C until analysis) using HPLC as described by Hooker et al. (2009). In short, filters were freeze-dried (48 h) and pigments extracted using 5 mL 90% acetone (v/v, 48 h, 48C, darkness) and separated using a HPLC (Waters 2695 separation module, 996 photodiode array detector) equipped with a Zorbax Eclipse&nbsp;&nbsp;XDB-C8 3.5&nbsp;micrometer&nbsp;column (Agilent Technologies). Peak identification was based on retention time and diode array spectroscopy. Pigments standards (DHI LAB products) were used for quantification of chlorophyll a1, chlorophyll a2, chlorophyll b, chlorophyll c2, chlorophyll c3, peridinin, 19-butanoyloxyfucoxanthin, 19-hexanoyloxyfucoxanthin, fucoxanthin, neoxanthin, prasinoxanthin, alloxanthin, and zeaxanthin. The sum of Chl a and divinyl Chl a was used as indicator for algal biomass as these pigments are universal in algae and Prochlorococcus. Specific marker pigments were used to reveal the presence of taxonomically distinct pigment signatures using CHEMTAX (version 195; Mackey et al.&nbsp;1996) software, thereby estimating the concentration of each taxonomic group relative to Chl a. CHEMTAX was run separately&nbsp;for oligotrophic and non-oligotrophic stations and for spring and summer samples. Oligotrophic areas defined by nutrient (i.e., NO30.13 lM and PO40.03 lM; van de Poll et al. 2013) or by Chl a concentrations (&lt; 0.07 mg Chl m-3), delineating regions south of 40degN and 45degN as oligotrophic for the spring and summer, respectively. CHEMTAX was run with 500 iterations, with all elements varied (100% for Chl a and divinyl Chl a and 500% for the other pigments). Initial pigment ratios in the iterations were based on van de Poll et al. (2013), where high-light initial pigment ratios were implemented for surface samples (0-50 m) of oligotrophic stations and low-light initial pigment ratios for subsurface samples (&gt; 50 m) of oligotrophic and all nonoligotrophic samples. To compare to taxonomic composition data provided by CHEMTAX, the percent contribution of different FCM distinguished groups to total carbon biomass (&lt; 20 micron) was also determined. Likewise, Chl a and CHEMTAX taxonomic composition were used to determine the group-specific Chl a concentrations.</p>
Funding provided by Netherlands Organization of Scientific Research (NWO, The Hague, The Netherlands) Award Number: ZKO-grant 839.08.420
onGoing
Corina Brussaard
Royal Netherlands Institute for Sea Research
Corina.Brussaard@nioz.nl
pointOfContact
Kristina D. A. Mojica
Royal Netherlands Institute for Sea Research
Stennis Space Center
Hancock County
MS
39529
USA
Kristina.Mojica@usm.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Seabird 91
Becton-Dickinson FACSCalibur
Chelsea Aquatracka Mk III
General Oceanics type Go-Flow, 10 liter
Waters 2695 separation module, 996 photodiode array detector
NIOZ design Pristine Bottles, 27 L
Bran+Luebbe Quaatro Auto- Analyzer
Satlantic
Self Contained Autonomous Microprofiler (SCAMP)
Wet-Labs C-star
theme
None, User defined
CTD Sea-Bird
Flow Cytometer
Fluorometer
GO-FLO Bottle
High-Performance Liquid Chromatograph
NIOZ PRISTINE ultraclean water sampler
Nutrient Autoanalyzer
Photosynthetically Available Radiation Sensor
Precision Measurement Engineering SCAMP microstructure profiler
Transmissometer
instrument
BCO-DMO Standard Instruments
64PE309
64PE334
service
Deployment Activity
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.
Changes in vertical stratification and their impact on phytoplankton communities
https://www.nwo.nl/en/projects/83908420
Changes in vertical stratification and their impact on phytoplankton communities
<p>NWO Award Abstract:</p>
<p>Global warming will change physical, chemical and biological processes in the oceans. Ocean-climate models predict that warming of the surface layer may strengthen vertical stratification, starting earlier in spring and lasting longer in autumn. This results in suppressed upward mixing of nutrients from the deep ocean. Changes in stratification will have major effects on the growth and species composition of the phytoplankton. This will subsequently impact grazing, viral lysis and sedimentation rates, with cascading effects on ecosystem functioning and biogeochemical fluxes. Little is known, however, on the exact implications of global warming for these fundamental processes. We propose to investigate how changes in vertical stratification affect phytoplankton communities (growth, losses and composition) along a North-South gradient in the Atlantic Ocean. Our study will be based on oceanographic cruises from Iceland to the Canary Islands and detailed laboratory experiments with representative phytoplankton species, both integrated in advanced models of hydrodynamics and plankton dynamics and productivity. We have chosen for the Northeast Atlantic Ocean, because it is a key area in global ocean circulation and a large sink for atmospheric CO2, and a major determinant of the climate in Western Europe. Furthermore, the Atlantic Ocean offers a gradient from weak seasonal stratification in the North to strong permanent stratification in the (sub)tropics. This gradient offers ideal opportunities for the comparative study of different stratification regimes. Our integrated approach of physical, chemical, and biological processes, by a new multidisciplinary research team, will enable a better understanding of the implications of global warming for plankton growth in the Northeast Atlantic Ocean.</p>
STRATIPHYT
largerWorkCitation
project
eng; USA
oceans
-21.740748
-9.0486
28.999686
62.800035
2009-01-01
2011-12-31
0
BCO-DMO catalogue of parameters from Physicochemical and phytoplankton data collected during the STRATIPHYT I and II cruises in the Northeast Atlantic Ocean. Cruises took place during the summer of 2009 and spring of 2011 aboard the R/V Pelagia.
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
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
https://osprey.bco-dmo.org/dataset/955473/data/download
download
onLine
dataset
<p>Sampling location: Northeast Atlantic&nbsp;in the area located between 29 degN and 63degN (~15 degW), which spans from the Canary Islands to Iceland. Water samples were collected in the top 250 m from at least 10 separate depths.&nbsp;During each cruise, 32 stations (separated by approximately 100 km) were sampled.</p>
<p>Water samples were collected in the top 250 m from at least 10 separate depths using 24 plastic samplers (General Oceanics type Go-Flow, 10 liter) during STRATIPHYT I and Teflon samplers (NIOZ design Pristine Bottles, 27 L) during STRATIPHYT II. Samplers were mounted on an ultra-clean (trace-metal free) system consisting of a fully titanium sampler frame equipped with CTD (Seabird 91; standard conductivity, temperature, and pressure sensors) and auxiliary sensors for chlorophyll autofluorescence (Chelsea Aquatracka Mk III), light transmission (Wet-Labs C-star) and photosynthetic active radiation (PAR; Satlantic). Data from the chlorophyll autofluorescence sensor were calibrated against HPLC data according to van de Poll et al. (2013) to determine total chlorophyll a (Chl a) for this study. Samples were taken inside a 6 m Clean Container from each depth for inorganic nutrients (5 mL), flow cytometry (10 mL), and phytoplankton pigments (10 L).</p>
<p>Temperature eddy diffusivity (KT) data, referred to here as the vertical mixing coefficient, were derived from temperature and conductivity microstructure profiles measured using the commercial microstructure profiler Self Contained Autonomous Microprofiler (SCAMP) . A detailed description of SCAMP methodology and data for both STRATIPHYT cruises have been described by Jurado et al. (2012a,b). The SCAMP was deployed at fewer stations (i.e., 17 and 14 in spring and summer, respectively) and to lower depths (up to 100 m) than the remainder of the data (23 stations and up to 250 m depth) in this study. To correct for this deficiency, data were interpolated using the spatial kriging function “krig” executed in R using the “fields” package (Furrer et al. 2012). Interpolated KT values were bounded below by the minimum value measured for each of the two cruise datasets; the upper values were left unbounded. This resulted in estimated KT values which preserved the qualitative pattern and range of values previously reported (Jurado et al. 2012a,b), i.e., continuous stratification during the summer STRATIPHYT I cruise and two distinct zones of mixing during the spring STRATIPHYT II cruise; stratification in the south and deep strong mixing in the north. SCAMP data were also used to quantify the strength of background&nbsp; stratification according to the square of the Brunt–Vaisala frequency. N^2 values were depth averaged over the top 100 m of the water column and classified based on the following criteria: N^2&lt;2 x10^-5 rad^2 s^-2 for nonstratified, 2 x 10^-5&lt;N^2&lt;5 x 10-5 rad^2 s^-2 for weakly stratified&nbsp;and N^2&gt;5 x 10^-5 rad^2 s^-2 for strongly stratified. In addition, the depth of the mixed layer (Zm), was determined as the depth at which the temperature difference with respect to the surface was 0.5degC.</p>
<p>Discrete water samples for dissolved inorganic phosphate (PO4), ammonium (NH4), nitrate (NO3), and nitrite (NO2) were gently filtered through 0.2 lm pore size polysulfone Acrodisk filters (32 mm, Pall), after which samples were stored at -20degC until analysis. Dissolved inorganic nutrients were analyzed onboard using a Bran+Luebbe Quaatro Auto- Analyzer for dissolved orthophosphate (Murphy and Riley 1962), inorganic nitrogen (nitrate+nitrite: NOx) (Grasshoff 1983) and ammonium (Koroleff 1969; Helder and De Vries 1979). Detection limits ranged between the two cruises from 0.06-0.10 microM for NOx, 0.010-0.028&nbsp;microM for PO4 and 0.05-0.09&nbsp;microM for NH4.</p>
<p>Phytoplankton consisting of photoautotrophic prokaryotic cyanobacteria and eukaryotic algae&lt;20 microns were enumerated on fresh samples using a Becton-Dickinson FACSCalibur flow cytometer (FCM) equipped with an air-cooled Argon laser with an excitation wavelength of 488 nm (15 mW). Samples were measured for 10 min using a high flow rate with the discriminator set on red chlorophyll autofluorescence. Phytoplankton populations were distinguished using bivariate scatter plots of autofluorescent properties (orange autofluorescence from phycoerythrin for the cyanobacteria Synechococcus spp. and red autofluorescence from Chl a for photoautotrophs) against side scatter. The obtained list-mode files were analyzed using the freeware CYTOWIN (Vaulot 1989). Regularly throughout the cruise transect, size-fractionation was performed to provide average cell size for the different phytoplankton subpopulations. Specifically, a whole water sample (10 mL) was size-fractionated by sequential gravity filtration through 8, 5 , 3, 2, 1, 0.8, and 0.4 micron pore-size polycarbonate filters. Each fraction was then analyzed using FCM as described above. The equivalent spherical diameter for each population was determined as the size displayed by the median (50%) number of cells retained for that cluster. In total nine different phytoplankton populations were distinguished, consisting of six eukaryotic and three cyanobacterial populations, i.e., Synechococcus spp. (average size range between the two cruises of 0.9-1.0 micron), Prochlorococcus high light population (HL; 0.6&nbsp;micron) and Prochlorococcus low light population (LL; 0.7-0.8&nbsp;micron). The photosynthetic eukaryotic populations consisted of two pico-sized groups, i.e., Pico I (1.0-1.4&nbsp;micron) and Pico II (1.5-2.0&nbsp;micron), and four nano-sized groups, i.e., Nano I (3-4&nbsp;micron), Nano II (6-8&nbsp;micron), Nano III (8-9&nbsp;micron), and Nano IV (9&nbsp;micron). To estimate the contribution of the different phytoplankton groups to carbon biomass, carbon-conversion factors were applied to FCM cell counts. Specifically, cell counts were transformed assuming spherical diameters equivalent to the average cell size determined from size fractionation and applying conversion factors of 237 fg C per cubic micrometer (Worden et al. 2004) and 196.5 fg C&nbsp;per cubic micrometer&nbsp;&nbsp;for pico- and nano-sized plankton (Garrison et al. 2000), respectively.</p>
<p>Phytoplankton taxonomic composition was determined by pigment analysis of 10 L GF/F filtered samples (47 mm, Whatman; flash frozen and stored at 2808C until analysis) using HPLC as described by Hooker et al. (2009). In short, filters were freeze-dried (48 h) and pigments extracted using 5 mL 90% acetone (v/v, 48 h, 48C, darkness) and separated using a HPLC (Waters 2695 separation module, 996 photodiode array detector) equipped with a Zorbax Eclipse&nbsp;&nbsp;XDB-C8 3.5&nbsp;micrometer&nbsp;column (Agilent Technologies). Peak identification was based on retention time and diode array spectroscopy. Pigments standards (DHI LAB products) were used for quantification of chlorophyll a1, chlorophyll a2, chlorophyll b, chlorophyll c2, chlorophyll c3, peridinin, 19-butanoyloxyfucoxanthin, 19-hexanoyloxyfucoxanthin, fucoxanthin, neoxanthin, prasinoxanthin, alloxanthin, and zeaxanthin. The sum of Chl a and divinyl Chl a was used as indicator for algal biomass as these pigments are universal in algae and Prochlorococcus. Specific marker pigments were used to reveal the presence of taxonomically distinct pigment signatures using CHEMTAX (version 195; Mackey et al.&nbsp;1996) software, thereby estimating the concentration of each taxonomic group relative to Chl a. CHEMTAX was run separately&nbsp;for oligotrophic and non-oligotrophic stations and for spring and summer samples. Oligotrophic areas defined by nutrient (i.e., NO30.13 lM and PO40.03 lM; van de Poll et al. 2013) or by Chl a concentrations (&lt; 0.07 mg Chl m-3), delineating regions south of 40degN and 45degN as oligotrophic for the spring and summer, respectively. CHEMTAX was run with 500 iterations, with all elements varied (100% for Chl a and divinyl Chl a and 500% for the other pigments). Initial pigment ratios in the iterations were based on van de Poll et al. (2013), where high-light initial pigment ratios were implemented for surface samples (0-50 m) of oligotrophic stations and low-light initial pigment ratios for subsurface samples (&gt; 50 m) of oligotrophic and all nonoligotrophic samples. To compare to taxonomic composition data provided by CHEMTAX, the percent contribution of different FCM distinguished groups to total carbon biomass (&lt; 20 micron) was also determined. Likewise, Chl a and CHEMTAX taxonomic composition were used to determine the group-specific Chl a concentrations.</p>
Specified by the Principal Investigator(s)
<p>A detailed description of SCAMP methodology and data for both STRATIPHYT cruises have been described by Jurado et al. (2012a,b). The SCAMP was deployed at fewer stations (i.e., 17 and 14 in spring and summer, respectively) and to lower depths (up to 100 m) than the remainder of the data (23 stations and up to 250 m depth) in this study. To correct for this deficiency, data were interpolated using the spatial kriging function “krig” executed in R using the “fields” package (Furrer et al. 2012). Interpolated KT values were bounded below by the minimum value measured for each of the two cruise datasets; the upper values were left unbounded. This resulted in estimated KT values which preserved the qualitative pattern and range of values previously&nbsp;reported (Jurado et al. 2012a,b), i.e., continuous stratification during the summer STRATIPHYT I cruise and two distinct zones of mixing during the spring STRATIPHYT II cruise; stratification in the south and deep strong mixing in the north.&nbsp;</p>
<p>Flow cytometry list-mode files were analyzed using the freeware CYTOWIN (Vaulot 1989).</p>
<p>Taxonomically distinct pigment signatures identified using CHEMTAX (version 195; Mackey et al.&nbsp;1996) software</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
Seabird 91
Seabird 91
PI Supplied Instrument Name: Seabird 91 PI Supplied Instrument Description:CTD (Seabird 91; standard conductivity, temperature, and pressure sensors) Instrument Name: CTD Sea-Bird Instrument Short Name:CTD Sea-Bird Instrument Description: A Conductivity, Temperature, Depth (CTD) sensor package from SeaBird Electronics. This instrument designation is used when specific make and model are not known or when a more specific term is not available in the BCO-DMO vocabulary. Refer to the dataset-specific metadata for more information about the specific CTD used. More information from: http://www.seabird.com/ Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/130/
Becton-Dickinson FACSCalibur
Becton-Dickinson FACSCalibur
PI Supplied Instrument Name: Becton-Dickinson FACSCalibur PI Supplied Instrument Description:Photoautotrophic prokaryotic cyanobacteria and eukaryotic algae Instrument Name: Flow Cytometer Instrument Short Name:Flow Cytometer Instrument Description: Flow cytometers (FC or FCM) are automated instruments that quantitate properties of single cells, one cell at a time. They can measure cell size, cell granularity, the amounts of cell components such as total DNA, newly synthesized DNA, gene expression as the amount messenger RNA for a particular gene, amounts of specific surface receptors, amounts of intracellular proteins, or transient signalling events in living cells.
(from: http://www.bio.umass.edu/micro/immunology/facs542/facswhat.htm) Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB37/
Chelsea Aquatracka Mk III
Chelsea Aquatracka Mk III
PI Supplied Instrument Name: Chelsea Aquatracka Mk III PI Supplied Instrument Description:Auxiliary sensor for chlorophyll autofluorescence (Chelsea Aquatracka Mk III) Instrument Name: Fluorometer Instrument Short Name:Fluorometer Instrument Description: A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/113/
General Oceanics type Go-Flow, 10 liter
General Oceanics type Go-Flow, 10 liter
PI Supplied Instrument Name: General Oceanics type Go-Flow, 10 liter PI Supplied Instrument Description:24 plastic samplers (General Oceanics type Go-Flow, 10 liter) during STRATIPHYT I Instrument Name: GO-FLO Bottle Instrument Short Name:GO-FLO Instrument Description: GO-FLO bottle cast used to collect water samples for pigment, nutrient, plankton, etc. The GO-FLO sampling bottle is specially designed to avoid sample contamination at the surface, internal spring contamination, loss of sample on deck (internal seals), and exchange of water from different depths. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/30/
Waters 2695 separation module, 996 photodiode array detector
Waters 2695 separation module, 996 photodiode array detector
PI Supplied Instrument Name: Waters 2695 separation module, 996 photodiode array detector PI Supplied Instrument Description:HPLC (Waters 2695 separation module, 996 photodiode array detector) equipped with a Zorbax Eclipse XDB-C8 3.5 micrometer column (Agilent Technologies) Instrument Name: High-Performance Liquid Chromatograph Instrument Short Name:HPLC Instrument Description: A High-performance liquid chromatograph (HPLC) is a type of liquid chromatography used to separate compounds that are dissolved in solution. HPLC instruments consist of a reservoir of the mobile phase, a pump, an injector, a separation column, and a detector. Compounds are separated by high pressure pumping of the sample mixture onto a column packed with microspheres coated with the stationary phase. The different components in the mixture pass through the column at different rates due to differences in their partitioning behavior between the mobile liquid phase and the stationary phase. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB11/
NIOZ design Pristine Bottles, 27 L
NIOZ design Pristine Bottles, 27 L
PI Supplied Instrument Name: NIOZ design Pristine Bottles, 27 L PI Supplied Instrument Description:Teflon samplers (NIOZ design Pristine Bottles, 27 L) during STRATIPHYT II Instrument Name: NIOZ PRISTINE ultraclean water sampler Instrument Short Name: Instrument Description: Ultraclean water sampler developed by the Royal Netherlands Institute For Sea Research (NIOZ) for the GEOTRACES Program. Individual sample bottles have a capacity of 27 litres and include butterfly valves that ensure bottles are closed when passing through the ocean surface and reopen subsurface. Teflon valves for subsampling at the base of bottles ensure drainage of settling particulates. Samplers are deployed with a Kevlar hydrowire cable with internal signal cables. A single bottle may be used (e.g. during small boat work) or an array of bottles may be mounted on a frame for shipboard CTD work. Trip mechanisms range from a weighted messenger to trip wires or hydraulics for rosette sampling.
Bran+Luebbe Quaatro Auto- Analyzer
Bran+Luebbe Quaatro Auto- Analyzer
PI Supplied Instrument Name: Bran+Luebbe Quaatro Auto- Analyzer PI Supplied Instrument Description:Dissolved inorganic nutrients were analyzed using a Bran+Luebbe Quaatro Auto- Analyzer Instrument Name: Nutrient Autoanalyzer Instrument Short Name:Nutrient Autoanalyzer Instrument Description: Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified. In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB04/
Satlantic
Satlantic
PI Supplied Instrument Name: Satlantic PI Supplied Instrument Description:photosynthetic active radiation (PAR; Satlantic) Instrument Name: Photosynthetically Available Radiation Sensor Instrument Short Name:PAR sensor Instrument Description: A PAR sensor measures photosynthetically available (or active) radiation. The sensor measures photon flux density (photons per second per square meter) within the visible wavelength range (typically 400 to 700 nanometers). PAR gives an indication of the total energy available to plants for photosynthesis. This instrument name is used when specific type, make and model are not known. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/122/
Self Contained Autonomous Microprofiler (SCAMP)
Self Contained Autonomous Microprofiler (SCAMP)
PI Supplied Instrument Name: Self Contained Autonomous Microprofiler (SCAMP) PI Supplied Instrument Description:Temperature eddy diffusivity (KT) data were derived from temperature and conductivity microstructure profiles measured using the commercial microstructure profiler Self Contained Autonomous Microprofiler (SCAMP) Instrument Name: Precision Measurement Engineering SCAMP microstructure profiler Instrument Short Name:SCAMP Instrument Description: A self contained, autonomous microstructure profiler designed to measure extremely small scale (order 1 mm) fluctuations of electrical conductivity, temperature, and chlorophyll concentration in aquatic environments. It has a maximum depth rating of 100 m, a travel rate of 10 cm/s and a sampling rate of 100 Hz. The instrument is powered by internal batteries that allow it to operate continuously for at least 4 hours. The fast conductivity channel uses a PME 4-electrode conductivity microsensor while the standard conductivity channel uses a PME 4-electrode ceramic sensor. The instrument has two available fast temperature channels, each using a Thermometrics FP07 thermistor, and includes a Keller PSI PAA-10 pressure sensor. Two gradient channels are used to store d/dt computations. These data can be used to infer the levels of dissipation of turbulent kinetic energy, in-situ fluxes of heat and salt, and the microstructure behavior of these parameters. The chlorophyll fluorometer consists of a high intense blue LED and a 455 nm interface filter that illuminates a small water sample. Chlorophyll fluorescence is observed through a 685 nm interference filter by a photo diode detector. A Li-Cor LI-192SA PAR sensor can also be attached to the SCAMP. Data are stored on an internal data logger.
Wet-Labs C-star
Wet-Labs C-star
PI Supplied Instrument Name: Wet-Labs C-star PI Supplied Instrument Description:Light transmission Instrument Name: Transmissometer Instrument Short Name:Transmissometer Instrument Description: A transmissometer measures the beam attenuation coefficient of the lightsource over the instrument's path-length. This instrument designation is used when specific manufacturer, make and model are not known. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/124/
Cruise: 64PE309
64PE309
R/V Pelagia
Community Standard Description
International Council for the Exploration of the Sea
R/V Pelagia
vessel
64PE309
Corina Brussaard
Royal Netherlands Institute for Sea Research
Cruise: 64PE334
64PE334
R/V Pelagia
Community Standard Description
International Council for the Exploration of the Sea
R/V Pelagia
vessel
64PE334
Corina Brussaard
Royal Netherlands Institute for Sea Research
R/V Pelagia
Community Standard Description
International Council for the Exploration of the Sea
R/V Pelagia
vessel