http://lod.bco-dmo.org/id/dataset/855267
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
2021-07-08
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Physiological measurements during Cyanobacteria Crocosphaera iron/warming experiments
2021-07-08
publication
2021-07-08
revision
BCO-DMO Linked Data URI
2021-07-08
creation
http://lod.bco-dmo.org/id/dataset/855267
David A. Hutchins
University of Southern California
principalInvestigator
Feixue Fu
University of Southern California
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: Hutchins, D. A., Fu, F. (2021) Physiological measurements during Cyanobacteria Crocosphaera iron/warming experiments. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-07-08 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/855267 [access date]
warming experiments Dataset Description: <p>The data describes Figures 1 and 2 and Supplmentary Figures of the results paper (Yang et al., 2021).</p> Methods and Sampling: <p><strong>Culturing Methods: </strong>Triplicate cultures of <em>Crocosphaera watsonii</em> strain WH0005 were grown at five ecologically-relevant temperatures spanning the thermal range of <em>Crocosphaera</em>: 20C, 22C, 27C, 32C, and 36C. Cultures were maintained under two Fe conditions, Fe-replete and Fe-limited, in microwave-sterilized medium made with 0.2 micron-filtered surface seawater collected from the Sargasso Sea using a trace metal clean towfish system. The medium was amended with Aquil concentrations of phosphate (10 μM) passed through an activated Chelex 100 resin column (BioRad Laboratories, Hercules, CA, USA) to remove contaminating Fe, and with vitamins and a modified Aquil trace metals stock (1.21 x 10<sup>-7</sup> M Mn, 7.97 x 10<sup>-8</sup> M Zn, 1.00 x 10<sup>-7</sup> M Mo, and 5.03 x 10<sup>-8</sup> M Co) (Sunda et al. 2005). Fe-replete medium was amended with 250 nM Fe, while 5 nM was directly added to Fe-limited cultures during periodic dilutions. The media was buffered with 25 μM EDTA, and the resulting average concentration of dissolved free inorganic iron, which is the form most bioavailable to phytoplankton, was calculated for the different experimental conditions following Jabre and Bertrand (2020) (see Supplementary Methods, Table S1, Figure S1). The total iron concentrations include the added Fe-EDTA, and a measured background Fe concentration in the Sargasso seawater of 0.54 nM.</p>
<p>Cultures were maintained semi-continuously in 2.5 L polycarbonate bottles on a 12:12 light:dark cycle in temperature-controlled incubators at 150 μmol photons m<sup>-2</sup> s<sup>-1</sup>, and diluted every three days with media adjusted to the experimental temperature to maintain steady-state exponential growth for at least 2 months. All bottles used in the study were soaked in a 1% Citranox detergent for 24 hours, rinsed in Milli-Q (18.2 Ω) water, and then soaked in 10% HCl for a week, rinsed in Milli-Q and microwave-sterilized before use. 0.2 micron filter-sterilized nutrients, trace metals, and vitamins were amended to the natural seawater base using sterile pipette tips rinsed three times with 1% HCl and three times with microwave sterilized Milli-Q water immediately prior to use.</p>
<p>Dilutions were conducted based on <em>in-vivo </em>fluorescence measured in real-time on a 10AU Fluorometer (Turner Designs, San Jose, CA). Cell samples were preserved in 0.5% 0.2-μm filtered glutaraldehyde to validate <em>in-vivo </em>growth rates using on an Olympus BX51 epifluorescence microscope.&nbsp; The specific growth rate (μ) was then calculated using the equation μ = (ln N<sub>1</sub> – ln N<sub>0</sub>) / t, where N refers to cell densities and t is time in days. The cell size was determined by measuring the cell diameters of at least 20 cells per sample using the CaptaVision Imaging Software (Commack, NY, USA).</p>
<p><strong>Nitrogen Fixation Rates: </strong>N<sub>2</sub>-fixation rates were measured using the acetylene reduction assay following previously described methods (Garcia et al. 2013). Briefly, duplicate 40 mL culture samples were collected from the triplicate experimental cultures and 6 mL of acetylene was injected into 35 mL of headspace at the start of the dark period in 75 mL sealed-top bottles. All-night (~12 hours) accumulation of acetylene was measured at the end of the incubation period on a gas chromatograph GC-8a (Shimadzu Scientific Instruments, Columbia, Maryland), and the measured ethylene was converted to fixed N<sub>2</sub> using a ratio of 3:1 and a Bunsen coefficient of 0.086. Converted N<sub>2</sub>-fixation rates were then normalized to particulate organic nitrogen (N-specific N<sub>2</sub>-fixation rates).</p>
<p><strong>Carbon Fixation Rates: </strong>To approximate net primary productivity (C-fixation), 10 mL sub-cultures from each experimental replicate were incubated for 5 hours with H<sup>14</sup>CO<sub>3</sub> beginning 2 hours after the start of the light period under the same experimental growth conditions (e.g. light, temperature, etc.). Samples were then filtered onto glass microfiber filters (GF/F) and stored in the dark overnight before analysis using a Wallac System 1400 liquid scintillation counter (Jiang et al. 2018). Calculated rates were then normalized to particulate organic carbon (C-specific C-fixation rates).</p>
<p><strong>Elemental Stoichiometry: </strong>To measure particulate organic carbon and nitrogen (POC and PON), 30-40 mL of culture from each experimental treatment was filtered onto pre-combusted glass microfiber filters (Whatman, Grade GF/F), dried in an oven at ~60C, and then pelleted and analyzed on a 4010 Costech Elemental Analyzer calibrated with methionine and acetanilide (Jiang et al. 2018).</p>
<p><strong>Intracellular Iron Content: </strong>Intracellular Fe samples were obtained by filtering cultures onto acid-washed 0.2μm Supor polyethersulfone filters (Pall Laboratory) and rinsed with oxalate reagent to remove extracellular trace metals (Tovar-Sanchez et al. 2003). All filtration and sample processing steps were conducted in a class 100 trace metal clean environment (Cunningham and John 2017). Filters were then digested with 5 mL of 50% nitric acid (HNO<sub>3</sub>) amended with 10 ppb Indium as an internal standard at 95C for 5 days in individual, 30 mL perfluoroalkoxy vials (Savillex). Following acid-digestion, the filters were removed with plastic tweezers, and samples were dried overnight at 100ºC. Samples were resolubilized in 200 µL of 1:1 concentrated HNO<sub>3</sub> and hydrochloric acid (HCl), sealed, and heated for ~2-3 hours and then allowed to cool.&nbsp; The sample was dried and resuspended in 5 mL of 0.1M distilled HNO<sub>3</sub> and then analyzed by inductively coupled plasma mass spectrometry (ICP-MS, Element 2, Thermo). Intensities of <sup>56</sup>Fe were calibrated with a 0.1-300 ppb metal reference standard curve. <sup>115</sup>In was monitored as an internal standard to correct for matrix suppression and any sample loss during digestion. Two procedural blank filters for each treatment were also analyzed and subtracted from the measured sample values.</p>
<p><strong>Fe Quotas and Resource Use Efficiencies: </strong>Fe quotas (mol Fe / µmol POC) were calculated using Fe concentrations measured via ICP-MS and POC (see above). Nitrogen-specific Iron Use Efficiencies (N-IUEs) were calculated by normalizing measured N<sub>2</sub>-fixation rates to intracellular Fe content (mol N fixed hr<sup>-1</sup> mol cellular Fe<sup>-1</sup>) (Kustka et al. 2003). Similarly, Carbon-specific Iron Use Efficiencies (C-IUEs, mol C fixed hr<sup>-1</sup> mol cellular Fe<sup>-1</sup>) were calculated by normalizing measured C-fixation rates to intracellular iron.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1851222 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1851222
onGoing
David A. Hutchins
University of Southern California
213-740-5616
Department of Biological Sciences 3616 Trousdale Parkway, AHF 20
Los Angeles
CA
90089
USA
dahutch@usc.edu
pointOfContact
Feixue Fu
University of Southern California
2137403188
Department of Biology, MC 0371, University of Southern California 3616 Trousdale Pkwy
Los Angeles
CA
90089
USA
ffu@usc.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Fe_Treatment
Temperature
Growth_Rate
Particulate_Organic_Carbon
Particulate_Organic_Nitrogen
Particulate_Organic_Phosphorus
Intracellular_Fe
Nspecific_N2_fixation
Cspecific_CO2_fixation
Carbon_Iron_Use_Efficiency
Nitrogen_Iron_Use_Efficiency
4010 Costech Elemental Analyzer
Olympus BX51 epifluorescence microscope
Gas chromatograph GC-8a (Shimadzu Scientific Instruments, Columbia, Maryland),
Inductively coupled plasma mass spectrometry (ICP-MS, Element 2, Thermo)
Wallac System 1400 liquid scintillation counter
10AU Fluorometer (Turner Designs, San Jose, CA)
theme
None, User defined
treatment
temperature of sample or a generic measurement (not in-situ water temp)
growth
particulate organic Carbon (POC)
particulate organic nitrogen
particulate organic phosphorus
Iron
featureType
BCO-DMO Standard Parameters
Elemental Analyzer
Fluorescence Microscope
Gas Chromatograph
Inductively Coupled Plasma Mass Spectrometer
Liquid Scintillation Counter
Turner Designs Fluorometer 10-AU
instrument
BCO-DMO Standard Instruments
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.
Collaborative Research: Evolutionary, biochemical and biogeochemical responses of marine cyanobacteria to warming and iron limitation interactions
https://osprey.bco-dmo.org/project/786679
Collaborative Research: Evolutionary, biochemical and biogeochemical responses of marine cyanobacteria to warming and iron limitation interactions
<p>NSF abstract:<br />
The oceans absorb much of the heat generated by human activities, and this warming of the surface ocean has consequences for important groups of marine organisms. Marine cyanobacteria are one such key group of organisms, since they supply much of the essential carbon and nitrogen that supports nearly all the rest of the marine food web. Currently, the growth of cyanobacteria is mostly constrained by scarce supplies of the micronutrient element iron, but they are also very sensitive to the ongoing increases in seawater temperature. Preliminary results suggest that warming could partly mitigate the negative effects of iron limitation on marine cyanobacteria. This project examines in depth how these interactions between warming and iron limitation will affect the future ocean carbon and nitrogen cycles, using laboratory culture experiments showing how cyanobacteria respond to simultaneously changing temperature and iron supplies. Both short-term response studies and long-term evolutionary experiments testing for adaptation use a comprehensive set of molecular biology tools targeting genes to proteins. The final goal is to apply the results of these experiments to improve quantitative models predicting how the ocean's carbon and nitrogen cycles, biological productivity, and living resources will respond to a warming future climate. Two graduate students, a postdoc and 3-4 underrepresented undergraduate researchers are supported, and the investigators also mentor summer science interns from largely Hispanic local high schools.</p>
<p>The physiology, biochemistry and biogeography of nitrogen-fixing cyanobacteria and unicellular picocyanobacteria are strongly influenced by temperature, subjecting them to intense selective pressure as the modern ocean steadily warms up. These groups have likewise been rigorously selected under chronic iron (Fe) scarcity, and the availability of this crucial micronutrient is also changing with a shifting climate. This project examines short-term acclimation and long-term evolutionary responses of Fe-stressed marine cyanobacteria to a warmer environment. Preliminary data show that Iron Use Efficiencies (IUE, mols N fixed.hr-1 mol cellular Fe-1) of Fe-limited Trichodesmium increase 4 to 5-fold with a 5oC temperature increase, allowing the cells to much more efficiently leverage scarce available Fe supplies to grow and fix nitrogen. This means that warming can to a large degree mitigate the negative effects of Fe limitation on Trichodesmium, resulting in a modelled 22% increase in global nitrogen fixation by 2100 in a warmer climate. This project aims to uncover the cellular biochemical mechanisms involved in this Fe-limitation/thermal IUE effect in a four-year experimental evolution study of the diazotrophs Trichodesmium and Crocosphaera and the picocyanobacteria Synechococcus and Prochlorococcus, under a multi-variate selection matrix of temperature and Fe availability. The objectives are to 1) Assess the long-term adaptive responses of fitness, IUE and physiology to Fe limitation and warming interactions in these four major cyanobacterial groups; 2) Determine the molecular and biochemical mechanisms behind the surprising Fe/warming interactive effect on IUE using genomics, transcriptomics and quantitative proteomics coupled with 'metalloproteomics' determinations of Fe content in critical proteins; 3) Compare and contrast acclimation and adaptation responses to Fe limitation and warming in key cyanobacteria taxa, and 4) Integrate results using a published biogeochemical modeling approach to assess global consequences for marine productivity and nitrogen fixation. This project offers a mechanistic and predictive understanding of adaptation to Fe and warming co-stressors in a rapidly changing future ocean environment for some of the most important photoautotrophic functional groups in the ocean.</p>
<p>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</p>
Cyanobacteria Warming Responses
largerWorkCitation
project
eng; USA
oceans
2021-07-08
0
BCO-DMO catalogue of parameters from Physiological measurements during Cyanobacteria Crocosphaera iron/warming experiments
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/855278.rdf
Name: Fe_Treatment
Units: nanomolar
Description: <p>Experimental Iron concentrations for Replete and Limited cultures</p>
http://lod.bco-dmo.org/id/dataset-parameter/855279.rdf
Name: Temperature
Units: Degrees Celsius (°C)
Description: <p>Experimental temperatures for culture experiments</p>
http://lod.bco-dmo.org/id/dataset-parameter/855280.rdf
Name: Growth_Rate
Units: d^-1
Description: <p>Average specific growth rate calculated from cell counts.</p>
http://lod.bco-dmo.org/id/dataset-parameter/855281.rdf
Name: Particulate_Organic_Carbon
Units: micromolar (uM)
Description: <p>Average particulate organic carbon.</p>
http://lod.bco-dmo.org/id/dataset-parameter/855282.rdf
Name: Particulate_Organic_Nitrogen
Units: micromolar (uM)
Description: <p>Average particulate organic nitrogen.</p>
http://lod.bco-dmo.org/id/dataset-parameter/855283.rdf
Name: Particulate_Organic_Phosphorus
Units: micromolar (uM)
Description: <p>Average particulate organic phosphorus.</p>
http://lod.bco-dmo.org/id/dataset-parameter/855284.rdf
Name: Intracellular_Fe
Units: micromolar (uM)
Description: <p>Average of intracellular iron.</p>
http://lod.bco-dmo.org/id/dataset-parameter/855285.rdf
Name: Nspecific_N2_fixation
Units: hr^-1
Description: <p>Average PON-specific nitrogen fixation rates, nd = no data for that replicate.</p>
http://lod.bco-dmo.org/id/dataset-parameter/855286.rdf
Name: Cspecific_CO2_fixation
Units: hr^-1
Description: <p>Average POC-specific carbon fixation rates.</p>
http://lod.bco-dmo.org/id/dataset-parameter/855287.rdf
Name: Carbon_Iron_Use_Efficiency
Units: mol C hr^-1 per mol Fe^-1
Description: <p>CIUE, average carbon-specific iron use efficiency.</p>
http://lod.bco-dmo.org/id/dataset-parameter/855288.rdf
Name: Nitrogen_Iron_Use_Efficiency
Units: mol N hr^-1 per mol Fe^-1
Description: <p>NIUE, average nitrogen-specific iron use efficiency, nd = no data for that replicate.</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
https://osprey.bco-dmo.org/dataset/855267/data/download
download
onLine
dataset
<p><strong>Culturing Methods: </strong>Triplicate cultures of <em>Crocosphaera watsonii</em> strain WH0005 were grown at five ecologically-relevant temperatures spanning the thermal range of <em>Crocosphaera</em>: 20C, 22C, 27C, 32C, and 36C. Cultures were maintained under two Fe conditions, Fe-replete and Fe-limited, in microwave-sterilized medium made with 0.2 micron-filtered surface seawater collected from the Sargasso Sea using a trace metal clean towfish system. The medium was amended with Aquil concentrations of phosphate (10 μM) passed through an activated Chelex 100 resin column (BioRad Laboratories, Hercules, CA, USA) to remove contaminating Fe, and with vitamins and a modified Aquil trace metals stock (1.21 x 10<sup>-7</sup> M Mn, 7.97 x 10<sup>-8</sup> M Zn, 1.00 x 10<sup>-7</sup> M Mo, and 5.03 x 10<sup>-8</sup> M Co) (Sunda et al. 2005). Fe-replete medium was amended with 250 nM Fe, while 5 nM was directly added to Fe-limited cultures during periodic dilutions. The media was buffered with 25 μM EDTA, and the resulting average concentration of dissolved free inorganic iron, which is the form most bioavailable to phytoplankton, was calculated for the different experimental conditions following Jabre and Bertrand (2020) (see Supplementary Methods, Table S1, Figure S1). The total iron concentrations include the added Fe-EDTA, and a measured background Fe concentration in the Sargasso seawater of 0.54 nM.</p>
<p>Cultures were maintained semi-continuously in 2.5 L polycarbonate bottles on a 12:12 light:dark cycle in temperature-controlled incubators at 150 μmol photons m<sup>-2</sup> s<sup>-1</sup>, and diluted every three days with media adjusted to the experimental temperature to maintain steady-state exponential growth for at least 2 months. All bottles used in the study were soaked in a 1% Citranox detergent for 24 hours, rinsed in Milli-Q (18.2 Ω) water, and then soaked in 10% HCl for a week, rinsed in Milli-Q and microwave-sterilized before use. 0.2 micron filter-sterilized nutrients, trace metals, and vitamins were amended to the natural seawater base using sterile pipette tips rinsed three times with 1% HCl and three times with microwave sterilized Milli-Q water immediately prior to use.</p>
<p>Dilutions were conducted based on <em>in-vivo </em>fluorescence measured in real-time on a 10AU Fluorometer (Turner Designs, San Jose, CA). Cell samples were preserved in 0.5% 0.2-μm filtered glutaraldehyde to validate <em>in-vivo </em>growth rates using on an Olympus BX51 epifluorescence microscope.&nbsp; The specific growth rate (μ) was then calculated using the equation μ = (ln N<sub>1</sub> – ln N<sub>0</sub>) / t, where N refers to cell densities and t is time in days. The cell size was determined by measuring the cell diameters of at least 20 cells per sample using the CaptaVision Imaging Software (Commack, NY, USA).</p>
<p><strong>Nitrogen Fixation Rates: </strong>N<sub>2</sub>-fixation rates were measured using the acetylene reduction assay following previously described methods (Garcia et al. 2013). Briefly, duplicate 40 mL culture samples were collected from the triplicate experimental cultures and 6 mL of acetylene was injected into 35 mL of headspace at the start of the dark period in 75 mL sealed-top bottles. All-night (~12 hours) accumulation of acetylene was measured at the end of the incubation period on a gas chromatograph GC-8a (Shimadzu Scientific Instruments, Columbia, Maryland), and the measured ethylene was converted to fixed N<sub>2</sub> using a ratio of 3:1 and a Bunsen coefficient of 0.086. Converted N<sub>2</sub>-fixation rates were then normalized to particulate organic nitrogen (N-specific N<sub>2</sub>-fixation rates).</p>
<p><strong>Carbon Fixation Rates: </strong>To approximate net primary productivity (C-fixation), 10 mL sub-cultures from each experimental replicate were incubated for 5 hours with H<sup>14</sup>CO<sub>3</sub> beginning 2 hours after the start of the light period under the same experimental growth conditions (e.g. light, temperature, etc.). Samples were then filtered onto glass microfiber filters (GF/F) and stored in the dark overnight before analysis using a Wallac System 1400 liquid scintillation counter (Jiang et al. 2018). Calculated rates were then normalized to particulate organic carbon (C-specific C-fixation rates).</p>
<p><strong>Elemental Stoichiometry: </strong>To measure particulate organic carbon and nitrogen (POC and PON), 30-40 mL of culture from each experimental treatment was filtered onto pre-combusted glass microfiber filters (Whatman, Grade GF/F), dried in an oven at ~60C, and then pelleted and analyzed on a 4010 Costech Elemental Analyzer calibrated with methionine and acetanilide (Jiang et al. 2018).</p>
<p><strong>Intracellular Iron Content: </strong>Intracellular Fe samples were obtained by filtering cultures onto acid-washed 0.2μm Supor polyethersulfone filters (Pall Laboratory) and rinsed with oxalate reagent to remove extracellular trace metals (Tovar-Sanchez et al. 2003). All filtration and sample processing steps were conducted in a class 100 trace metal clean environment (Cunningham and John 2017). Filters were then digested with 5 mL of 50% nitric acid (HNO<sub>3</sub>) amended with 10 ppb Indium as an internal standard at 95C for 5 days in individual, 30 mL perfluoroalkoxy vials (Savillex). Following acid-digestion, the filters were removed with plastic tweezers, and samples were dried overnight at 100ºC. Samples were resolubilized in 200 µL of 1:1 concentrated HNO<sub>3</sub> and hydrochloric acid (HCl), sealed, and heated for ~2-3 hours and then allowed to cool.&nbsp; The sample was dried and resuspended in 5 mL of 0.1M distilled HNO<sub>3</sub> and then analyzed by inductively coupled plasma mass spectrometry (ICP-MS, Element 2, Thermo). Intensities of <sup>56</sup>Fe were calibrated with a 0.1-300 ppb metal reference standard curve. <sup>115</sup>In was monitored as an internal standard to correct for matrix suppression and any sample loss during digestion. Two procedural blank filters for each treatment were also analyzed and subtracted from the measured sample values.</p>
<p><strong>Fe Quotas and Resource Use Efficiencies: </strong>Fe quotas (mol Fe / µmol POC) were calculated using Fe concentrations measured via ICP-MS and POC (see above). Nitrogen-specific Iron Use Efficiencies (N-IUEs) were calculated by normalizing measured N<sub>2</sub>-fixation rates to intracellular Fe content (mol N fixed hr<sup>-1</sup> mol cellular Fe<sup>-1</sup>) (Kustka et al. 2003). Similarly, Carbon-specific Iron Use Efficiencies (C-IUEs, mol C fixed hr<sup>-1</sup> mol cellular Fe<sup>-1</sup>) were calculated by normalizing measured C-fixation rates to intracellular iron.</p>
Specified by the Principal Investigator(s)
<p>Data processing has been done using Excel.</p>
<p>BCO-DMO processing notes:</p>
<ul>
<li>Renamed parameter names to comply with database requirements</li>
</ul>
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
4010 Costech Elemental Analyzer
4010 Costech Elemental Analyzer
PI Supplied Instrument Name: 4010 Costech Elemental Analyzer PI Supplied Instrument Description:4010 Costech Elemental Analyzer Instrument Name: Elemental Analyzer Instrument Short Name: Instrument Description: Instruments that quantify carbon, nitrogen and sometimes other elements by combusting the sample at very high temperature and assaying the resulting gaseous oxides. Usually used for samples including organic material. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB01/
Olympus BX51 epifluorescence microscope
Olympus BX51 epifluorescence microscope
PI Supplied Instrument Name: Olympus BX51 epifluorescence microscope PI Supplied Instrument Description:Olympus BX51 epifluorescence microscope Instrument Name: Fluorescence Microscope Instrument Short Name: Instrument Description: Instruments that generate enlarged images of samples using the phenomena of fluorescence and phosphorescence instead of, or in addition to, reflection and absorption of visible light. Includes conventional and inverted instruments. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB06/
Gas chromatograph GC-8a (Shimadzu Scientific Instruments, Columbia, Maryland),
Gas chromatograph GC-8a (Shimadzu Scientific Instruments, Columbia, Maryland),
PI Supplied Instrument Name: Gas chromatograph GC-8a (Shimadzu Scientific Instruments, Columbia, Maryland), PI Supplied Instrument Description:Gas chromatograph GC-8a (Shimadzu Scientific Instruments, Columbia, Maryland), Instrument Name: Gas Chromatograph Instrument Short Name:Gas Chromatograph Instrument Description: Instrument separating gases, volatile substances, or substances dissolved in a volatile solvent by transporting an inert gas through a column packed with a sorbent to a detector for assay. (from SeaDataNet, BODC) Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB02/
Inductively coupled plasma mass spectrometry (ICP-MS, Element 2, Thermo)
Inductively coupled plasma mass spectrometry (ICP-MS, Element 2, Thermo)
PI Supplied Instrument Name: Inductively coupled plasma mass spectrometry (ICP-MS, Element 2, Thermo) PI Supplied Instrument Description:Inductively coupled plasma mass spectrometry (ICP-MS, Element 2, Thermo) Instrument Name: Inductively Coupled Plasma Mass Spectrometer Instrument Short Name:ICP Mass Spec Instrument Description: An ICP Mass Spec is an instrument that passes nebulized samples into an inductively-coupled gas plasma (8-10000 K) where they are atomized and ionized. Ions of specific mass-to-charge ratios are quantified in a quadrupole mass spectrometer. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB15/
Wallac System 1400 liquid scintillation counter
Wallac System 1400 liquid scintillation counter
PI Supplied Instrument Name: Wallac System 1400 liquid scintillation counter PI Supplied Instrument Description:Wallac System 1400 liquid scintillation counter Instrument Name: Liquid Scintillation Counter Instrument Short Name:LSC Instrument Description: Liquid scintillation counting is an analytical technique which is defined by the incorporation of the radiolabeled analyte into uniform distribution with a liquid chemical medium capable of converting the kinetic energy of nuclear emissions into light energy. Although the liquid scintillation counter is a sophisticated laboratory counting system used to quantify the activity of particulate emitting (ß and a) radioactive samples, it can also detect the auger electrons emitted from 51Cr and 125I samples.
Liquid scintillation counters are instruments assaying alpha and beta radiation by quantitative detection of visible light produced by the passage of rays or particles through a suitable scintillant incorporated into the sample. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB21/
10AU Fluorometer (Turner Designs, San Jose, CA)
10AU Fluorometer (Turner Designs, San Jose, CA)
PI Supplied Instrument Name: 10AU Fluorometer (Turner Designs, San Jose, CA) PI Supplied Instrument Description:10AU Fluorometer (Turner Designs, San Jose, CA) Instrument Name: Turner Designs Fluorometer 10-AU Instrument Short Name:Turner Fluorometer 10-AU Instrument Description: The Turner Designs 10-AU Field Fluorometer is used to measure Chlorophyll fluorescence. The 10AU Fluorometer can be set up for continuous-flow monitoring or discrete sample analyses. A variety of compounds can be measured using application-specific optical filters available from the manufacturer (read more from Turner Designs, turnerdesigns.com, Sunnyvale, CA, USA). Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0393/