http://lod.bco-dmo.org/id/dataset/735751
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
2018-05-10
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Fourier transform ion cyclotron resonance mass spectrometer (FT-ICRMS) data from seasonal collections, Doboy Sound, Sapelo Island, GA, July and October 2014
2018-05-10
publication
2018-05-10
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-12-09
publication
https://doi.org/10.1575/1912/bco-dmo.735751.1
Mary Ann Moran
University of Georgia
principalInvestigator
Patricia M. Medeiros
University of Georgia
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: Moran, M. A., Medeiros, P. (2018) Fourier transform ion cyclotron resonance mass spectrometer (FT-ICRMS) data from seasonal collections, Doboy Sound, Sapelo Island, GA, July and October 2014. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2018-05-10 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.735751.1 [access date]
FT-ICR MS data from samples collected during SIMCO 2014 Dataset Description: <p>Dissolved organic matter (DOM) from field and incubation collections of Doboy Sounds estuarine waters near Sapelo Island, GA in July and October 2014 was analyzed for chemical composition. Analysis of the dissolved organic matter pool retrieved by solid-phase extraction (PPL resin) was analyzed to determine chemical formulas (by Fourier transform ion cyclotron resonance mass spectrometry, FT-ICR MS).</p> Methods and Sampling: <p>DOM was collected in Doboy Sound off the southeastern U.S. in July and October 2014. Six 20 L carboys were filled with water and wrapped in black plastic. Three were processed immediately, while the remaining three were returned to Doboy Sound for a 24 h dark incubation before processing by an identical protocol. This experimental scheme was carried out twice during each sampling event, once at high tide (HT) and once at low tide (LT). Immediately after collection, samples were filtered (using 0.7 μm Whatman GF/F filters pre-combusted at 450°C for 5 h and pre-washed 0.2 μm Pall Supor membrane filters), and aliquots were stored frozen for DOC analysis. Filtrates were acidified to pH 2, and DOM was isolated using solid phase extraction (SPE) cartridges (Agilent Bond Elut PPL) as in Dittmar et al. (2008).</p>
<p>The molecular composition of the DOM extracts (200 mg C L-1 in methanol) was analyzed using a 9.4T Fourier transform ion cyclotron resonance mass spectrometer (FT-ICR MS) with electrospray ionization (ESI; negative mode) at the National ICR Users’ Facility at the National High Magnetic Field Laboratory (NHMFL, Florida State University, Tallahassee, FL).</p>
<p>Assignment of molecular formulae was performed by Kendrick mass defect analysis (Wu et al., 2004) with PetroOrg software (Corilo, 2015) considering a maximum mass error of 0.5 ppm and using the criteria described by Rossel et al. (Rossel et al., 2013).</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1356010 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1356010
completed
Mary Ann Moran
University of Georgia
706-542-6481
Department of Marine Sciences
Athens
GA
30602
USA
mmoran@uga.edu
pointOfContact
Patricia M. Medeiros
University of Georgia
706-542-6744
Department of Marine Sciences
Athens
GA
30602-3636
USA
medeiros@uga.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
mass_to_charge
C
H
O
N
S
Jul14_HT_T0_A
Jul14_HT_T0_B
Jul14_HT_T0_C
Jul14_HT_T24_A
Jul14_HT_T24_B
Jul14_HT_T24_C
Jul14_LT_T0_A
Jul14_LT_T0_B
Jul14_LT_T0_C
Jul14_LT_T24_A
Jul14_LT_T24_B
Jul14_LT_T24_C
Oct14_HT_T0_A
Oct14_HT_T0_B
Oct14_HT_T0_C
Oct14_HT_T24_A
Oct14_HT_T24_B
Oct14_HT_T24_C
Oct14_LT_T0_A
Oct14_LT_T0_B
Oct14_LT_T0_C
Oct14_LT_T24_A
Oct14_LT_T24_B
Oct14_LT_T24_C
FT-ICR MS
theme
None, User defined
mass-to-charge ratio (m/z)
element
percent composition
featureType
BCO-DMO Standard Parameters
Fourier Transform Ion Cyclotron Resonance Mass Spectrometer
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.
High Resolution Linkages Between DOC Turnover and Bacterioplankton in a Coastal Ocean
https://osprey.bco-dmo.org/project/472758
High Resolution Linkages Between DOC Turnover and Bacterioplankton in a Coastal Ocean
<p><em>Description from NSF award abstract:</em><br />
Long-standing questions regarding the fate of dissolved organic carbon (DOC) in coastal oceans require a better understanding of the network that links bacterioplankton metabolism with carbon transformation. These questions address uncertainties about the composition of the bioreactive DOC components transformed in ocean margins, and the role of bacterial taxonomic and genetic composition in determining the fate of DOC.</p>
<p>This project will infuse a new type of data into coastal carbon cycle research based on high-resolution chemical analysis coupled with bacterial gene expression measures. It will extend DOC process studies down to the single-compound level and bacterial activity studies down to the single-gene level, and integrate this information into existing bioinformatic resources for biogeochemical and modeling applications.</p>
<p>The specific goals of this project are:<br />
1) To reconstruct major components of the network linking DOC composition, DOC turnover, and bacterial heterotrophy in the coastal ocean (the composition of the DOC pool, the major bioreactive components, the bacterioplankton taxa mediating transformations, and the bacterial genes and pathways responsible).</p>
<p>2) To test hypothesized network links for selected DOC compounds using a simplified system that queries individual DOC compounds against a complex natural microbial community.</p>
<p>3) To test hypothesized network links for marine bacteria using a simplified system that queries a single generalist heterotrophic bacteria against a complex natural DOC pool.</p>
<p>4) To verify predicted DOC-gene linkages that are most informative about heterotrophic activities of bacterioplankton.</p>
<p>This research addresses fundamental questions on bacterial mediation of organic carbon fate in the ocean and atmosphere. As such, these investigations linking the chemical changes in dissolved organic carbon with patterns of gene expression in coastal bacterioplankton communities will be of interest to scientists across several disciplines.</p>
<p>---------------------------</p>
<p>Note: The project acronym, SIMCO, means "Sapelo Island Microbial Carbon Observatory".</p>
SIMCO
largerWorkCitation
project
eng; USA
oceans
2014-07-01
2014-10-31
Southeastern U.S. coastal ocean, 31.4° N Lat, 81.3° W Lon
0
BCO-DMO catalogue of parameters from Fourier transform ion cyclotron resonance mass spectrometer (FT-ICRMS) data from seasonal collections, Doboy Sound, Sapelo Island, GA, July and October 2014
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/735765.rdf
Name: mass_to_charge
Units: Daltons (Da)
Description: <p>mass-to-charge ratio (m/z). This is equivalent to the mass of a molecule since charge is 1</p>
http://lod.bco-dmo.org/id/dataset-parameter/735766.rdf
Name: C
Units: atoms
Description: <p>number of carbon atoms in molecule</p>
http://lod.bco-dmo.org/id/dataset-parameter/735767.rdf
Name: H
Units: atoms
Description: <p>number of hydrogen atoms in molecule</p>
http://lod.bco-dmo.org/id/dataset-parameter/735768.rdf
Name: O
Units: atoms
Description: <p>number of oxygen atoms in molecule</p>
http://lod.bco-dmo.org/id/dataset-parameter/735769.rdf
Name: N
Units: atoms
Description: <p>number of nitrogen atoms in molecule</p>
http://lod.bco-dmo.org/id/dataset-parameter/735770.rdf
Name: S
Units: atoms
Description: <p>number of sulfur atoms in molecule</p>
http://lod.bco-dmo.org/id/dataset-parameter/735781.rdf
Name: Jul14_HT_T0_A
Units: unitless
Description: <p>relative abundance of molecule in sample Jul14_HT_T0_A</p>
http://lod.bco-dmo.org/id/dataset-parameter/735782.rdf
Name: Jul14_HT_T0_B
Units: unitless
Description: <p>relative abundance of molecule in sample Jul14_HT_T0_B</p>
http://lod.bco-dmo.org/id/dataset-parameter/735783.rdf
Name: Jul14_HT_T0_C
Units: unitless
Description: <p>relative abundance of molecule in sample Jul14_HT_T0_C</p>
http://lod.bco-dmo.org/id/dataset-parameter/735784.rdf
Name: Jul14_HT_T24_A
Units: unitless
Description: <p>relative abundance of molecule in sample Jul14_HT_T24_A</p>
http://lod.bco-dmo.org/id/dataset-parameter/735785.rdf
Name: Jul14_HT_T24_B
Units: unitless
Description: <p>relative abundance of molecule in sample Jul14_HT_T24_B</p>
http://lod.bco-dmo.org/id/dataset-parameter/735786.rdf
Name: Jul14_HT_T24_C
Units: unitless
Description: <p>relative abundance of molecule in sample Jul14_HT_T24_C</p>
http://lod.bco-dmo.org/id/dataset-parameter/735787.rdf
Name: Jul14_LT_T0_A
Units: unitless
Description: <p>relative abundance of molecule in sample Jul14_LT_T0_A</p>
http://lod.bco-dmo.org/id/dataset-parameter/735788.rdf
Name: Jul14_LT_T0_B
Units: unitless
Description: <p>relative abundance of molecule in sample Jul14_LT_T0_B</p>
http://lod.bco-dmo.org/id/dataset-parameter/735789.rdf
Name: Jul14_LT_T0_C
Units: unitless
Description: <p>relative abundance of molecule in sample Jul14_LT_T0_C</p>
http://lod.bco-dmo.org/id/dataset-parameter/735790.rdf
Name: Jul14_LT_T24_A
Units: unitless
Description: <p>relative abundance of molecule in sample Jul14_LT_T24_A</p>
http://lod.bco-dmo.org/id/dataset-parameter/735791.rdf
Name: Jul14_LT_T24_B
Units: unitless
Description: <p>relative abundance of molecule in sample Jul14_LT_T24_B</p>
http://lod.bco-dmo.org/id/dataset-parameter/735792.rdf
Name: Jul14_LT_T24_C
Units: unitless
Description: <p>relative abundance of molecule in sample Jul14_LT_T24_C</p>
http://lod.bco-dmo.org/id/dataset-parameter/735793.rdf
Name: Oct14_HT_T0_A
Units: unitless
Description: <p>relative abundance of molecule in sample Oct14_HT_T0_A</p>
http://lod.bco-dmo.org/id/dataset-parameter/735794.rdf
Name: Oct14_HT_T0_B
Units: unitless
Description: <p>relative abundance of molecule in sample Oct14_HT_T0_B</p>
http://lod.bco-dmo.org/id/dataset-parameter/735795.rdf
Name: Oct14_HT_T0_C
Units: unitless
Description: <p>relative abundance of molecule in sample Oct14_HT_T0_C</p>
http://lod.bco-dmo.org/id/dataset-parameter/735796.rdf
Name: Oct14_HT_T24_A
Units: unitless
Description: <p>relative abundance of molecule in sample Oct14_HT_T24_A</p>
http://lod.bco-dmo.org/id/dataset-parameter/735797.rdf
Name: Oct14_HT_T24_B
Units: unitless
Description: <p>relative abundance of molecule in sample Oct14_HT_T24_B</p>
http://lod.bco-dmo.org/id/dataset-parameter/735798.rdf
Name: Oct14_HT_T24_C
Units: unitless
Description: <p>relative abundance of molecule in sample Oct14_HT_T24_C</p>
http://lod.bco-dmo.org/id/dataset-parameter/735799.rdf
Name: Oct14_LT_T0_A
Units: unitless
Description: <p>relative abundance of molecule in sample Oct14_LT_T0_A</p>
http://lod.bco-dmo.org/id/dataset-parameter/735800.rdf
Name: Oct14_LT_T0_B
Units: unitless
Description: <p>relative abundance of molecule in sample Oct14_LT_T0_B</p>
http://lod.bco-dmo.org/id/dataset-parameter/735801.rdf
Name: Oct14_LT_T0_C
Units: unitless
Description: <p>relative abundance of molecule in sample Oct14_LT_T0_C</p>
http://lod.bco-dmo.org/id/dataset-parameter/735802.rdf
Name: Oct14_LT_T24_A
Units: unitless
Description: <p>relative abundance of molecule in sample Oct14_LT_T24_A</p>
http://lod.bco-dmo.org/id/dataset-parameter/735803.rdf
Name: Oct14_LT_T24_B
Units: unitless
Description: <p>relative abundance of molecule in sample Oct14_LT_T24_B</p>
http://lod.bco-dmo.org/id/dataset-parameter/735804.rdf
Name: Oct14_LT_T24_C
Units: unitless
Description: <p>relative abundance of molecule in sample Oct14_LT_T24_C</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
1145477
https://darchive.mblwhoilibrary.org/bitstream/1912/24968/1/dataset-735751_simco-study-fticrms-spectra-2014__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.735751.1
download
onLine
dataset
<p>DOM was collected in Doboy Sound off the southeastern U.S. in July and October 2014. Six 20 L carboys were filled with water and wrapped in black plastic. Three were processed immediately, while the remaining three were returned to Doboy Sound for a 24 h dark incubation before processing by an identical protocol. This experimental scheme was carried out twice during each sampling event, once at high tide (HT) and once at low tide (LT). Immediately after collection, samples were filtered (using 0.7 μm Whatman GF/F filters pre-combusted at 450°C for 5 h and pre-washed 0.2 μm Pall Supor membrane filters), and aliquots were stored frozen for DOC analysis. Filtrates were acidified to pH 2, and DOM was isolated using solid phase extraction (SPE) cartridges (Agilent Bond Elut PPL) as in Dittmar et al. (2008).</p>
<p>The molecular composition of the DOM extracts (200 mg C L-1 in methanol) was analyzed using a 9.4T Fourier transform ion cyclotron resonance mass spectrometer (FT-ICR MS) with electrospray ionization (ESI; negative mode) at the National ICR Users’ Facility at the National High Magnetic Field Laboratory (NHMFL, Florida State University, Tallahassee, FL).</p>
<p>Assignment of molecular formulae was performed by Kendrick mass defect analysis (Wu et al., 2004) with PetroOrg software (Corilo, 2015) considering a maximum mass error of 0.5 ppm and using the criteria described by Rossel et al. (Rossel et al., 2013).</p>
Specified by the Principal Investigator(s)
<p><strong>BCO-DMO Processing:</strong><br />
- added conventional header with dataset name, PI name, version date<br />
- column names reformatted to comply with BCO-DMO standards</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
FT-ICR MS
FT-ICR MS
PI Supplied Instrument Name: FT-ICR MS PI Supplied Instrument Description:The molecular composition of the DOM extracts were analyzed Instrument Name: Fourier Transform Ion Cyclotron Resonance Mass Spectrometer Instrument Short Name:FTICR MS Instrument Description: In Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, the mass-to-charge ratio (m/z) of an ion is experimentally determined by measuring the frequency at which the ion processes in a magnetic field. These frequencies, which are typically in the 100 KHz to MHz regime, can be measured with modern electronics making it possible to determine the mass of an ion to within +/- 0.000005 amu or 5 ppm.