http://lod.bco-dmo.org/id/dataset/854433
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
2021-06-23
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Sediment NO3 reduction rates, associated genes, and environmental data from bimonthly samples collected along the York River Estuary from June 2018 to April 2019
2021-06-23
publication
2021-06-23
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2021-08-30
publication
https://doi.org/10.26008/1912/bco-dmo.854433.1
Iris C. Anderson
Virginia Institute of Marine Science
principalInvestigator
Mark J. Brush
Virginia Institute of Marine Science
principalInvestigator
Kimberly S. Reece
Virginia Institute of Marine Science
principalInvestigator
Bongkeun Song
Virginia Institute of Marine Science
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: Anderson, I. C., Brush, M. J., Reece, K., Song, B. (2021) Sediment NO3 reduction rates, associated genes, and environmental data from bimonthly samples collected along the York River Estuary from June 2018 to April 2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-06-23 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.854433.1 [access date]
Sediment NO3 reduction rates, associated genes, and environmental data Dataset Description: Methods and Sampling: <p><strong>Sampling:</strong><br />
Sampling took place at 5 stations along the length of the York River Estuary in June, August, and October of 2018, and February and April of 2019 using 24ft Carolina skiffs. Two sediment cores (5.6 cm diameter, 10 cm deep) were collected at each station; the top 2 cm of sediment were separated from the rest of the core and the top 2cm from both replicate cores were composited.</p>
<p><strong>Slurry incubations:</strong><br />
One gram of sediment from each sample was weighed into 5 exetainer tubes. After flushing for 5 minutes with helium (He) gas to create anoxic conditions, the tubes were incubated at <em>in situ</em> temperatures overnight to remove all background nitrate and re-flushed with He gas. Denitrification and anammox potential rate measurements were performed following established protocols (Semedo and Song, 2020; Song and Tobias, 2011); DNRA potential rate measurements followed a modified protocol from Yin et al. (2014). Each gram of sediment was spiked with 100 nmol of ¹⁵NO₃⁻ (99 atom %, Cambridge Isotopes) and incubated at <em>in situ </em>temperatures. The addition of 50% zinc chloride (0.5 ml) was used to stop all microbial activity immediately after spiking with ¹⁵NO₃⁻, for T0, or after a 1-hour incubation, for TF. The amount of accumulated ³⁰N₂ and ²⁹N₂ was then measured in the gas fraction using an isotope ratio mass spectrometer (IRMS, Model Delta V, ThermoScientific). Immediately following IRMS analysis, the exetainers were frozen (-80 degC) until analyzed for DNRA.</p>
<p>Ammonium was extracted from the sediment incubation samples using 5 mL of 2 M potassium chloride (KCl). For each sample, 4mL of the KCl extract was diluted with 22 mL of autoclaved, Mili-Q filtered water and poured into two new exetainer tubes. One tube was left as a control and run on a membrane inlet mass spectrometer (MIMS, Pfeiffer Balzers Prisma) without any further additions; the second tube was spiked with 200 μL of a hypobromite solution that converts all NH₄⁺ to N₂ (Yin et al., 2014), inverted, and incubated for at least 15 minutes before being run on the MIMS. The concentration of excess ²⁹N₂ and ³⁰N₂ produced by the addition of the hypobromite solution was calculated for each sample based on the method of Risgaard-Petersen and Rysgaard (1995) with the exception that a single air equilibrated DI water standard, held at the same temperature as the samples, was used. The concentrations of excess ²⁹N₂ and ³⁰N₂ were used to calculate the concentration of ¹⁵NH₄⁺ present in the samples.</p>
<p><strong>qPCR Gene Abundance Measurements:</strong><br />
DNA was extracted from each sample using 0.5g of sediment and the DNeasy PowerSoil Kit (Qiagen) following manufacturer protocols. The abundance of specific genes was measured using SYBR Green qPCR. The DNRA marker gene <em>nrfA</em> was measured using the primers nrfA2F/nrfA1R (Mohan et al., 2004; Welsh et al., 2014) and the following qPCR reaction: 6μL of GoTaq qPCR Master Mix (Promega), 0.03μL of CXR Reference Dye (Promega), 0.6μL of each primer, 0.25μL of MgCl2, and 4μL of sample DNA (at 1ng/ μL) with the remainder of the 12μL reaction volume made up with water. The <em>nrfA</em> qPCR protocol included an initial 10 minute step at 95°C followed by 50 cycles of: 95°C for 15s, 2°C for 45s, 72°C for 1 minute, and 80°C for 35s (Song et al., 2014). The qPCR reaction for <em>nirS</em>, the denitrification marker gene, included: 6μL of GoTaq qPCR Master Mix, 0.03μL of CXR Reference Dye, 0.6μL of the forward primer nirScdaF (Kandeler et al., 2006), 0.6μL of the reverse primer nirSR3cd (Kandeler et al., 2006), 0.12μL of BSA, and 4μL of sample DNA (at 1ng/ μL) with the remainder of the 12μL reaction volume made up with water and the protocol was: 95°C for 10 minutes, followed by 45 cycles of 95°C for 15s, 57°C for 1 minute, 72°C for 1 minute, and 80°C for 35s. The 16S rRNA qPCR reactions were set up in the same way as the nirS reactions, with the exception that the primers 515F-Y (Parada et al., 2016) and 806R (Caporaso et al., 2011) were used. The 16S qPCR protocol is as follows: 95°C for 10 minutes with 40 cycles of 95°C for 15s, 55°C for 30s, 70°C for 30s, with a melting curve analysis at the end. All qPCR samples were run in triplicate, with two no-template negative controls for each run. Gene abundance was calculated based on a standard curve produced with known quantities of the target gene.</p>
<p><strong>Instruments:</strong><br />
Nutrient analyses (NO₃, NO₂, NH₄) were performed with a Lachat QuikChem 8000 automated ion analyzer (Lachat Instruments,Milwaukee, WI, USA; detection limits for NO₃, and NH₄, are 0.20 and 0.36 μM, respectively). Extracted chlorophyll-a was analyzed on a Beckman Coulter DU800 spectrophotometer. ²⁹N₂&nbsp;and&nbsp;³⁰N₂&nbsp;was measured in the gaseous form by an isotope ratio mass spectrometer (Model Delta V, ThermoScientific) and in the liquid form by a membrane inlet mass spectrometer (MIMS, Balzers Prisma). C:N ratio was measured with a Costech elemental analyzer (Model 1040).</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1737258 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1737258
completed
Iris C. Anderson
Virginia Institute of Marine Science
757-876-9436
P.O Box 1346
Gloucester Point
VA
23062
USA
iris@vims.edu
pointOfContact
Mark J. Brush
Virginia Institute of Marine Science
804-684-7402
P.O Box 1346
Gloucester Point
VA
23062
USA
brush@vims.edu
pointOfContact
Kimberly S. Reece
Virginia Institute of Marine Science
804-684-7407
P.O Box 1346
Gloucester Point
VA
23062
USA
kreece@vims.edu
pointOfContact
Bongkeun Song
Virginia Institute of Marine Science
804-684-7411
P.O Box 1346
Gloucester Point
VA
23692
USA
songb@vims.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Date
Station
Lat
Long
Depth
DNF
AMX
DNRA
NOx
NO2
NO3
NH4
OP
Temp
Salinity
Chl_a
DO
organics
num_16S
num_nirS
num_nrfA
C_N
PW_NH4
PW_NOx
Costech elemental analyzer (Model 1040)
Lachat QuikChem 8000
isotope ratio mass spectrometer (Model Delta V, ThermoScientific)
membrane inlet mass spectrometer (MIMS, Balzers Prisma)
Beckman Coulter DU800 Spectrophotometer
theme
None, User defined
date
station
latitude
longitude
depth
No BCO-DMO term
nitrate plus nitrite
Nitrite
Nitrate
Ammonium
phosphate
water temperature at measurement depth
salinity
chlorophyll a
dissolved Oxygen
number
Carbon to Nitrogen ratio (C:N)
featureType
BCO-DMO Standard Parameters
Costech International Elemental Combustion System (ECS) 4010
Flow Injection Analyzer
Isotope-ratio Mass Spectrometer
Membrane Inlet Mass Spectrometer
Spectrophotometer
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.
Alteration of carbon fluxes by intense phytoplankton blooms in a microtidal estuary
https://osprey.bco-dmo.org/project/747588
Alteration of carbon fluxes by intense phytoplankton blooms in a microtidal estuary
<p><em>NSF Award Abstract:</em><br />
Estuaries, coastal water bodies where rivers mix with ocean water, are hotspots for the processing of carbon and nutrients moving from land to the coastal ocean. Within estuaries land-based nutrient inputs can cause intense blooms of single-celled algae called phytoplankton, which can have significant impacts on the ecosystem. As blooms move down-estuary some of the phytoplankton material is buried on the bottom, and some is decomposed, resulting in low oxygen conditions (hypoxia), harmful to marine life, and production of carbon dioxide (CO2), the major greenhouse gas, which can exchange with the atmosphere. The remaining phytoplankton material can be exported to the ocean. The type and amount of carbon exported from the estuary depend both on its biological activity and physical factors such as fresh water discharge, temperature, and light availability. If phytoplankton production is greater than decomposition, the estuary will take up atmospheric CO2 and export phytoplankton carbon to the coastal ocean. On the other hand, if decomposition is greater than production the estuary will be a source of CO2 to the atmosphere and dissolved CO2 to the coastal ocean. The investigators expect that intense phytoplankton blooms will greatly amplify carbon exchanges with the atmosphere, coastal ocean, and bottom sediments. As intense phytoplankton blooms increase in the future due to increased nutrient inputs and temperature, low oxygen events may become more frequent with potential negative impacts on fisheries and increased export of carbon to the coastal ocean and atmosphere. This study will fill critical gaps identified by the Coastal Carbon Synthesis Program in knowledge of how microtidal estuaries transform and export C to the atmosphere, benthos, and coastal ocean. In addition, there will be a strong teaching and training component to this project, with support for graduate and undergraduate students. The graduate student will be partnered with secondary teachers to gain teaching experience and enrich the middle school educational programs. Summer undergraduate interns will be recruited for a summer program from Hampton University, a historically Black college. There will be public outreach through participation in existing programs at VIMS.</p>
<p>Estuaries serve as critical hotspots for the processing of carbon (C) as it transits from land to the coastal ocean. Recent attempts to synthesize what is known about sources and fates of C in estuaries have noted large data gaps; thus, the role of estuaries, especially those that are microtidal, as important sources of carbon dioxide (CO2) to the atmosphere and total organic carbon (TOC) and dissolved inorganic carbon (DIC) to the coastal ocean, or as a C sink in bottom sediments, remains uncertain. Intensive phytoplankton blooms are becoming increasingly frequent in many estuaries and are likely to have important and yet unknown impacts on the C cycle. The trophic status of an estuary will determine in large part the species of C exported to the atmosphere, bottom sediments, and coastal ocean. The overarching objective of this project is to identify the impacts of intense phytoplankton blooms on C speciation, net C fluxes and exchanges in the Lower York River Estuary (LYRE), a representative mesotrophic, microtidal mid-Atlantic estuary. Metabolic processes are hypothesized to be spatially and temporally dynamic, driving the speciation, abundance, and fates of C in the LYRE. High spatiotemporal resolution sampling in the LYRE will capture rates of C cycling under both baseline conditions throughout most of the year, and during periods when the estuary is perturbed by widespread and intense, but patchy, late summer phytoplankton blooms. The short-term effects of physical drivers (wind, temperature, salinity, fresh water discharge, nutrient and organic carbon loads) and biological drivers (metabolic rates, bacterial and phytoplankton abundances and composition) on C transformations, speciation, and exchanges will be assessed. Expected longer term variations in the C cycle due to anthropogenic and natural disturbances will be predicted through use of modeling. In addition, laboratory manipulations will examine the impacts of specific organisms dominating intensive phytoplankton blooms on benthic metabolism, processing of organic C by the microbial community, and C fluxes to the water column.</p>
LYRE
largerWorkCitation
project
eng; USA
oceans
-76.7595
-76.4429
37.2518
37.4801
2018-06-13
2019-04-05
York River Estuary, Virginia
0
BCO-DMO catalogue of parameters from Sediment NO3 reduction rates, associated genes, and environmental data from bimonthly samples collected along the York River Estuary from June 2018 to April 2019
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/854519.rdf
Name: Date
Units: unitless
Description: <p>date when the survey took place; format: YYYY-MM-DD</p>
http://lod.bco-dmo.org/id/dataset-parameter/854520.rdf
Name: Station
Units: unitless
Description: <p>numerical station number to differentiate sample locations</p>
http://lod.bco-dmo.org/id/dataset-parameter/854521.rdf
Name: Lat
Units: decimal degrees North
Description: <p>latitude of sample location</p>
http://lod.bco-dmo.org/id/dataset-parameter/854522.rdf
Name: Long
Units: decimal degrees East
Description: <p>longitude of sample location</p>
http://lod.bco-dmo.org/id/dataset-parameter/854523.rdf
Name: Depth
Units: meters (m)
Description: <p>depth of sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/854524.rdf
Name: DNF
Units: nanomoles nitrogen per gram wet sediment per hour (nmole N/g/hr)
Description: <p>potential rate of denitrification</p>
http://lod.bco-dmo.org/id/dataset-parameter/854525.rdf
Name: AMX
Units: nanomoles nitrogen per gram wet sediment per hour (nmole N/g/hr)
Description: <p>potential rate of anaerobic ammonium oxidation</p>
http://lod.bco-dmo.org/id/dataset-parameter/854526.rdf
Name: DNRA
Units: nanomoles nitrogen per gram wet sediment per hour (nmole N/g/hr)
Description: <p>potential rate of dissimilatory nitrate reduction</p>
http://lod.bco-dmo.org/id/dataset-parameter/854527.rdf
Name: NOx
Units: micromolar (uM)
Description: <p>concentration of nitrate+nitrite</p>
http://lod.bco-dmo.org/id/dataset-parameter/854528.rdf
Name: NO2
Units: micromolar (uM)
Description: <p>concentration of nitrite</p>
http://lod.bco-dmo.org/id/dataset-parameter/854529.rdf
Name: NO3
Units: micromolar (uM)
Description: <p>concentration of nitrate</p>
http://lod.bco-dmo.org/id/dataset-parameter/854530.rdf
Name: NH4
Units: micromolar (uM)
Description: <p>concentration of ammonium</p>
http://lod.bco-dmo.org/id/dataset-parameter/854531.rdf
Name: OP
Units: micromolar (uM)
Description: <p>concentration of organic phosphate</p>
http://lod.bco-dmo.org/id/dataset-parameter/854532.rdf
Name: Temp
Units: degrees Celsius
Description: <p>temperature measured in situ</p>
http://lod.bco-dmo.org/id/dataset-parameter/854533.rdf
Name: Salinity
Units: unitless
Description: <p>salinity measured in situ</p>
http://lod.bco-dmo.org/id/dataset-parameter/854534.rdf
Name: Chl_a
Units: micrograms per liter (ug/L)
Description: <p>concentration of chlorophyll a</p>
http://lod.bco-dmo.org/id/dataset-parameter/854535.rdf
Name: DO
Units: milligrams per liter (mg/L)
Description: <p>concentration of dissolved oxygen measured in situ</p>
http://lod.bco-dmo.org/id/dataset-parameter/854536.rdf
Name: organics
Units: unitless (percent)
Description: <p>percent sediment organic matter</p>
http://lod.bco-dmo.org/id/dataset-parameter/854537.rdf
Name: num_16S
Units: number of gene copies per gram sediment (copies/g)
Description: <p>number of 16S genes in sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/854538.rdf
Name: num_nirS
Units: number of gene copies per gram sediment (copies/g)
Description: <p>number of nirS genes in sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/854539.rdf
Name: num_nrfA
Units: number of gene copies per gram sediment (copies/g)
Description: <p>number of nrfA genes in sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/854540.rdf
Name: C_N
Units: unitless
Description: <p>sediment C:N ratio</p>
http://lod.bco-dmo.org/id/dataset-parameter/854541.rdf
Name: PW_NH4
Units: micromolar (uM)
Description: <p>concentration of ammonium in pore water</p>
http://lod.bco-dmo.org/id/dataset-parameter/854542.rdf
Name: PW_NOx
Units: micromolar (uM)
Description: <p>concentration of nitrate+nitrite in pore water</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
3997
https://darchive.mblwhoilibrary.org/bitstream/1912/27501/1/dataset-854433_sediment-no3-reduction-rates-associated-genes-and-environmental-data__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.854433.1
download
onLine
dataset
<p><strong>Sampling:</strong><br />
Sampling took place at 5 stations along the length of the York River Estuary in June, August, and October of 2018, and February and April of 2019 using 24ft Carolina skiffs. Two sediment cores (5.6 cm diameter, 10 cm deep) were collected at each station; the top 2 cm of sediment were separated from the rest of the core and the top 2cm from both replicate cores were composited.</p>
<p><strong>Slurry incubations:</strong><br />
One gram of sediment from each sample was weighed into 5 exetainer tubes. After flushing for 5 minutes with helium (He) gas to create anoxic conditions, the tubes were incubated at <em>in situ</em> temperatures overnight to remove all background nitrate and re-flushed with He gas. Denitrification and anammox potential rate measurements were performed following established protocols (Semedo and Song, 2020; Song and Tobias, 2011); DNRA potential rate measurements followed a modified protocol from Yin et al. (2014). Each gram of sediment was spiked with 100 nmol of ¹⁵NO₃⁻ (99 atom %, Cambridge Isotopes) and incubated at <em>in situ </em>temperatures. The addition of 50% zinc chloride (0.5 ml) was used to stop all microbial activity immediately after spiking with ¹⁵NO₃⁻, for T0, or after a 1-hour incubation, for TF. The amount of accumulated ³⁰N₂ and ²⁹N₂ was then measured in the gas fraction using an isotope ratio mass spectrometer (IRMS, Model Delta V, ThermoScientific). Immediately following IRMS analysis, the exetainers were frozen (-80 degC) until analyzed for DNRA.</p>
<p>Ammonium was extracted from the sediment incubation samples using 5 mL of 2 M potassium chloride (KCl). For each sample, 4mL of the KCl extract was diluted with 22 mL of autoclaved, Mili-Q filtered water and poured into two new exetainer tubes. One tube was left as a control and run on a membrane inlet mass spectrometer (MIMS, Pfeiffer Balzers Prisma) without any further additions; the second tube was spiked with 200 μL of a hypobromite solution that converts all NH₄⁺ to N₂ (Yin et al., 2014), inverted, and incubated for at least 15 minutes before being run on the MIMS. The concentration of excess ²⁹N₂ and ³⁰N₂ produced by the addition of the hypobromite solution was calculated for each sample based on the method of Risgaard-Petersen and Rysgaard (1995) with the exception that a single air equilibrated DI water standard, held at the same temperature as the samples, was used. The concentrations of excess ²⁹N₂ and ³⁰N₂ were used to calculate the concentration of ¹⁵NH₄⁺ present in the samples.</p>
<p><strong>qPCR Gene Abundance Measurements:</strong><br />
DNA was extracted from each sample using 0.5g of sediment and the DNeasy PowerSoil Kit (Qiagen) following manufacturer protocols. The abundance of specific genes was measured using SYBR Green qPCR. The DNRA marker gene <em>nrfA</em> was measured using the primers nrfA2F/nrfA1R (Mohan et al., 2004; Welsh et al., 2014) and the following qPCR reaction: 6μL of GoTaq qPCR Master Mix (Promega), 0.03μL of CXR Reference Dye (Promega), 0.6μL of each primer, 0.25μL of MgCl2, and 4μL of sample DNA (at 1ng/ μL) with the remainder of the 12μL reaction volume made up with water. The <em>nrfA</em> qPCR protocol included an initial 10 minute step at 95°C followed by 50 cycles of: 95°C for 15s, 2°C for 45s, 72°C for 1 minute, and 80°C for 35s (Song et al., 2014). The qPCR reaction for <em>nirS</em>, the denitrification marker gene, included: 6μL of GoTaq qPCR Master Mix, 0.03μL of CXR Reference Dye, 0.6μL of the forward primer nirScdaF (Kandeler et al., 2006), 0.6μL of the reverse primer nirSR3cd (Kandeler et al., 2006), 0.12μL of BSA, and 4μL of sample DNA (at 1ng/ μL) with the remainder of the 12μL reaction volume made up with water and the protocol was: 95°C for 10 minutes, followed by 45 cycles of 95°C for 15s, 57°C for 1 minute, 72°C for 1 minute, and 80°C for 35s. The 16S rRNA qPCR reactions were set up in the same way as the nirS reactions, with the exception that the primers 515F-Y (Parada et al., 2016) and 806R (Caporaso et al., 2011) were used. The 16S qPCR protocol is as follows: 95°C for 10 minutes with 40 cycles of 95°C for 15s, 55°C for 30s, 70°C for 30s, with a melting curve analysis at the end. All qPCR samples were run in triplicate, with two no-template negative controls for each run. Gene abundance was calculated based on a standard curve produced with known quantities of the target gene.</p>
<p><strong>Instruments:</strong><br />
Nutrient analyses (NO₃, NO₂, NH₄) were performed with a Lachat QuikChem 8000 automated ion analyzer (Lachat Instruments,Milwaukee, WI, USA; detection limits for NO₃, and NH₄, are 0.20 and 0.36 μM, respectively). Extracted chlorophyll-a was analyzed on a Beckman Coulter DU800 spectrophotometer. ²⁹N₂&nbsp;and&nbsp;³⁰N₂&nbsp;was measured in the gaseous form by an isotope ratio mass spectrometer (Model Delta V, ThermoScientific) and in the liquid form by a membrane inlet mass spectrometer (MIMS, Balzers Prisma). C:N ratio was measured with a Costech elemental analyzer (Model 1040).</p>
Specified by the Principal Investigator(s)
<p><strong>BCO-DMO Processing:</strong><br />
- changed date format to YYYY-MM-DD;<br />
- renamed fields.</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
Costech elemental analyzer (Model 1040)
Costech elemental analyzer (Model 1040)
PI Supplied Instrument Name: Costech elemental analyzer (Model 1040) PI Supplied Instrument Description:C:N ratio was measured with a Costech elemental analyzer (Model 1040). Instrument Name: Costech International Elemental Combustion System (ECS) 4010 Instrument Short Name:Costech ECS 4010 Instrument Description: The ECS 4010 Nitrogen / Protein Analyzer is an elemental combustion analyser for CHNSO elemental analysis and Nitrogen / Protein determination. The GC oven and separation column have a temperature range of 30-110 degC, with control of +/- 0.1 degC.
Lachat QuikChem 8000
Lachat QuikChem 8000
PI Supplied Instrument Name: Lachat QuikChem 8000 PI Supplied Instrument Description:Nutrient analyses (NO₃, NO₂, NH₄) were performed with a Lachat QuikChem 8000 automated ion analyzer (Lachat Instruments, Milwaukee, WI, USA). Instrument Name: Flow Injection Analyzer Instrument Short Name:FIA Instrument Description: An instrument that performs flow injection analysis. Flow injection analysis (FIA) is an approach to chemical analysis that is accomplished by injecting a plug of sample into a flowing carrier stream. FIA is an automated method in which a sample is injected into a continuous flow of a carrier solution that mixes with other continuously flowing solutions before reaching a detector. Precision is dramatically increased when FIA is used instead of manual injections and as a result very specific FIA systems have been developed for a wide array of analytical techniques. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB36/
isotope ratio mass spectrometer (Model Delta V, ThermoScientific)
isotope ratio mass spectrometer (Model Delta V, ThermoScientific)
PI Supplied Instrument Name: isotope ratio mass spectrometer (Model Delta V, ThermoScientific) PI Supplied Instrument Description:²⁹N₂ and ³⁰N₂ were measured in the gaseous form by an isotope ratio mass spectrometer (Model Delta V, ThermoScientific). Instrument Name: Isotope-ratio Mass Spectrometer Instrument Short Name:IR Mass Spec; IRMS Instrument Description: The Isotope-ratio Mass Spectrometer is a particular type of mass spectrometer used to measure the relative abundance of isotopes in a given sample (e.g. VG Prism II Isotope Ratio Mass-Spectrometer). Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB16/
membrane inlet mass spectrometer (MIMS, Balzers Prisma)
membrane inlet mass spectrometer (MIMS, Balzers Prisma)
PI Supplied Instrument Name: membrane inlet mass spectrometer (MIMS, Balzers Prisma) PI Supplied Instrument Description:²⁹N₂ and ³⁰N₂ were measured in the liquid form by a membrane inlet mass spectrometer (MIMS, Balzers Prisma). Instrument Name: Membrane Inlet Mass Spectrometer Instrument Short Name:MIMS Instrument Description: Membrane-introduction mass spectrometry (MIMS) is a method of introducing analytes into the mass spectrometer's vacuum chamber via a semipermeable membrane.
Beckman Coulter DU800 Spectrophotometer
Beckman Coulter DU800 Spectrophotometer
PI Supplied Instrument Name: Beckman Coulter DU800 Spectrophotometer PI Supplied Instrument Description:Extracted chlorophyll-a was analyzed on a Beckman Coulter DU800 Spectrophotometer. Instrument Name: Spectrophotometer Instrument Short Name:Spectrophotometer Instrument Description: An instrument used to measure the relative absorption of electromagnetic radiation of different wavelengths in the near infra-red, visible and ultraviolet wavebands by samples. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB20/