http://lod.bco-dmo.org/id/dataset/3355
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2010-06-23
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
CTD data from R/V Atlantic Explorer X0606, X0705, AE0810 in the Western Sargasso Sea roughly 38-20N and 66-43W from 2006-2008 (ATP3 project)
2011-12-06
publication
2011-12-06
revision
BCO-DMO Linked Data URI
2011-12-06
creation
http://lod.bco-dmo.org/id/dataset/3355
Michael W. Lomas
Bermuda Institute of Ocean Sciences
principalInvestigator
James Ammerman
Sea Grant
principalInvestigator
Sonya T. Dyhrman
Woods Hole Oceanographic Institution
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: Lomas, M. W., Ammerman, J., Dyhrman, S. T. (2011) CTD data from R/V Atlantic Explorer X0606, X0705, AE0810 in the Western Sargasso Sea roughly 38-20N and 66-43W from 2006-2008 (ATP3 project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 06 December 2011) Version Date 2011-12-06 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/3355 [access date]
CTD data Dataset Description: <p>DOP Utilization (ATP3, DOP) CTD data<br />
Biogeochemical data collected on transect cruises studying<br />
Dissolved Organic Phosphorus throughout the western Sargasso Sea.<br />
Data are from several cruises over the span 2006 to 2008.</p>
<p>Note the cruise identifiers for the Atlantic Explorer were originally formatted as XYY## (e.g. X0806 was the 6th cruise in 2008).&nbsp; The data files include cruise IDs of this type.&nbsp; The vessel operator changed the cruise ID syntax several years after the cruise and the official cruise ID syntax was changed to AEYY##.&nbsp; For example, AE0810 should be the same cruise as X0810.&nbsp; One exception for this dataset is that X0804 is cruise ID AE0810.<br />
<br />
<strong>Related files and references:</strong><br />
<em>Detailed information on analyses:</em><br />
Lomas, M.W., Burke, A., Lomas, D.A., Bell, D.W., Shen, C., Ammerman, J.W., Dyhrman, S.T. 2010.<br />
Sargasso Sea phosphorus biogeochemistry: An important role for dissolved organic phosphorus (DOP).<br />
Biogeosciences 7: 695-710.<br />
<br />
<em>Other published work:</em><br />
Michelou, V.K., Lomas, M.W., Kirchman, D.L. Phosphate and ATP uptake by cyanobacteria and heterotrophic<br />
bacteria in the Sargasso Sea. Limnology and Oceanography, in press.<br />
<br />
McLaughlin, K., Sohm, J.A., Cutter, G.A., Lomas, M.W., Paytan, A. 2010. Phosphate cycling in the Sargasso Sea:<br />
Investigation using the oxygen isotopic composition of phosphate, enzyme labeled fluorescence, and turnover times.<br />
Journal of Geophysical Research - Biogeosciences, in press.<br />
<br />
Longnecker, K., Lomas, M.W., and Van Mooy, B.A.S. 2010. Characterizing the abundance and diversity of<br />
heterotrophic bacterial cells assimilating phosphate in the sub-tropical North Atlantic Ocean.<br />
Environmental Microbiology, in press.<br />
<br />
Orchard, E.D., Ammerman, J.W., Lomas, M.W., Dyhrman, S.T. 2010. Dissolved inorganic and organic phosphorus<br />
uptake in Trichodesmium and the microbial community: The importance of phosphorus ester in the Sargasso Sea.<br />
Limnology and Oceanography, 55:1390-1399.<br />
<br />
Casey, J., Lomas, M.W., Michelou, V., Orchard, E.D., Dyhrman, S.T., Ammerman, J.W., and Sylvan, J. 2009.<br />
Phytoplankton taxon-specific orthophosphate (Pi) and ATP uptake in the northwestern Atlantic subtropical gyre.<br />
Aquatic Microbial Ecology, 58:31-44.<br />
<br />
Van Mooy, B.A.S., Fredricks, H.F., Pedler, B.F., Dyhrman, S.T., Karl, D.M., Koblizek, M., Lomas, M.W., Moore,<br />
L.R., Moutin, T., Rappé, M.S., and Webb, E.A. 2009. Phytoplankton in the oligotrophic ocean use non-phosphorus<br />
lipids in response to phosphorus scarcity.<br />
Nature Geosciences, doi:10.1038/nature07659.</p> Methods and Sampling: <p><strong>Sampling and Analytical Methodology:</strong><br />
Detailed methods for all data collected as part of this study can be found in the publications<br />
arising from this study (references given below). This contains information on analytical<br />
machines and certified standards where applicable.<br />
<br />
Sample QA/QC procedures followed those of the Bermuda Atlantic Time-series Study (BATS).<br />
At the point of collection, any leaking niskin bottles were noted on the master cast sheets<br />
and samples were taken from a different niskin fired at the same depth as the leaking bottle.<br />
No data are reported for leaking Niskin bottles. During sample analysis standard curves<br />
and/or certified standards were carefully examined to ensure that they were consistent with<br />
expectations and accurate. If nothing was found, then we examined other data from that<br />
niskin to see if other samples are in question. If no obvious error or problem was found,<br />
the data were considered OK and in the range of environmental data that this study hoped<br />
to observe.<br />
<br />
<strong>Sample accuracy and precision:</strong><br />
Sample accuracy was assessed by using certified standards, for those measurements where<br />
standards are available (dissolved oxygen, nutrients, salinity). Certified standards were<br />
run with each analytical run and compared to long term control charts for respective analyses.<br />
Samples were not run until certified standards were shown to be accurate for that analytical<br />
run. Sample precision was determined by analyzing replicate samples (not replicate analyses<br />
on the same sample) and therefore is higher than analytical precision due to the inclusion<br />
of sampling error. At the concentrations observed during this study, sample precision was<br />
&lt;5% for stock measurements and &lt;10% for rate measurements. Some analyses, namely dissolved<br />
<!--5--> oxygen and salinity, were much better and often had a sample precisions &lt;1%. These precision<br />
<!--1--> estimates are consistent with the long term QA/QC seen with the BATS program.<br />
<br />
The provided data files are complete matrices and therefore not every sample (columns) will be<br />
taken from every Niskin fired (rows). Data that were either not collected, or were associated<br />
with leaking Niskins, or were found to be in error for other reasons are denoted by "nd" in the<br />
spreadsheets.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-0453023 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=0453023
completed
Michael W. Lomas
Bermuda Institute of Ocean Sciences
207-315-2567 ext 311
60 Bigelow Drive PO Box 380
East Boothbay
ME
04544
United States
mlomas@bigelow.org
pointOfContact
James Ammerman
Sea Grant
631-632-6905
121 Discovery Hall SUNY at Stony Brook
Stony Brook
NY
11794
USA
james.ammerman@stonybrook.edu
pointOfContact
Sonya T. Dyhrman
Woods Hole Oceanographic Institution
845-365-8465
102E Geoscience 61 Route 9W, PO Box 1000
Palisades
NY
10964
USA
dyhrman@ldeo.columbia.edu
pointOfContact
asNeeded
Dataset Version: 06 December 2011
Unknown
CruiseId
Station
Cast
date
time
lon
lat
Depth
Depth_actual
Temp_1
Temp_2
Salinity_1
Salinity_2
Sigma_theta_1
Sigma_theta_2
Fluorescence
DO_1
DO_2
CTD Sea-Bird 911
theme
None, User defined
cruise id
station
cast
date
time of day
longitude
latitude
depth
water temperature at measurement depth
salinity
sigma-theta potential density
fluorescence
dissolved Oxygen
featureType
BCO-DMO Standard Parameters
CTD Sea-Bird 911
instrument
BCO-DMO Standard Instruments
X0606
X0705
AE0810
service
Deployment Activity
Western Sargasso Sea roughly 38-20N and 66-43W, Water depths always exceeded 4200m
place
Locations
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
DOP Utilization in the Sargasso Sea: Quantifying Taxon-specific Rates of Hydrolysis and Uptake
http://www.bios.edu/Labs/pel/Research%20Pages/Research_DOP.html
DOP Utilization in the Sargasso Sea: Quantifying Taxon-specific Rates of Hydrolysis and Uptake
<p>Photosynthetic uptake of CO2 by oceanic phytoplankton and the export of the resulting organic carbon to the deep sea comprise a 'biological pump' capable of extracting globally significant amounts of CO2 from the atmosphere. Mounting evidence suggests that primary production in two of the larger subtropical ocean gyres, the Western Tropical/Subtropical Atlantic and the North Pacific Subtropical Gyre (NPSG), may be controlled by the availability of inorganic phosphorus. This conclusion is based on vanishingly low inorganic phosphorus (SRP) concentrations, sub-nanomolar in some locales, ratios of inorganic nutrient availability that greatly exceed the canonical Redfield Ratio, and high rates of dissolved organic phosphorus (DOP) hydrolysis.</p>
<p>Indeed, data collected in the Sargasso Sea shows a 30% decline in DOP inventories during summer stratification. Moreover, several studies have documented significant taxonomic variability in the ability to hydrolyze and to assimilate phosphorus from organic sources We hypothesize that despite rapid turnover times, chronically low and seasonally invariant SRP concentrations at BATS cannot support measured rates of primary production without utilization of additional P from the DOP pool. Moreover, we hypothesize that inherent physiological differences among microbial taxa represents a significant source of temporal and spatial variability in DOP utilization rates that is yet neither understood nor constrained.</p>
<p>Our specific research objectives are:<br />
1. To quantify temporal and spatial variability in DOP hydrolysis in the Sargasso Sea with measures of whole-community and taxon-specific alkaline phosphatase<br />
2. To quantify temporal and spatial variability in taxon-specific SRP and DOP uptake rates by combining flow cytometry and radioisotope methodologies.<br />
3. To quantify whole-community total P uptake rates through BAP (biologically available phosphorus) assays, as well as SRP and model compound DOP uptake and regeneration rates.<br />
4. To identify factors regulating rates of DOP hydrolysis and assimilation using experimental nutrient manipulations, and to evaluate the role of DOP in supporting primary production in the Sargasso Sea.</p>
<p>To successfully meet our objectives, we propose to employ three cruise sampling strategies: CORE, PROCESS, and CRUISES OF OPPORTUNITY. The CORE cruises and CRUISES OF OPPORTUNITY will be conducted in conjunction with the BATS biogeochemical time-series program. The PROCESS cruises are principal-use cruises that are designed to allow a more intensive study on the mechanisms of and controls on DOP hydrolysis and utilization in the Sargasso Sea.</p>
<p>An understanding of ocean ecosystem function is important on a broad scale. This project will provide information critical for successful modeling efforts constrain predictions of the strength of the oceanic biological pump, as well as provide information of interest to students, teachers and the general public. If in fact DOP supports a significant, and previously unquantified, fraction of the annual primary production in the Sargasso Sea, then diversity in biological metabolic processes in the central oceans plays a greater role in the global carbon cycle - including regulation of atmospheric CO2 - than we recognize at present. The overall goal of the student teaching/training programs at BBSR, WHOI and Rutgers is to expose students to oceanographic research, its global significance, and its impact on their daily lives. As such, we will incorporate data on DOP cycling in the Sargasso Sea into a problem-based learning module for courses taught by the PIs and submit our curriculum to the appropriate digital repository (e.g. <a href="http://www.dlese.org">www.dlese.org</a>). The PIs have a strong commitment to direct mentoring, and they will also sponsor a minimum of three undergraduate researchers each year in their laboratories, and support the research and training of MIT/WHOI Joint Program and Rutgers University graduate students.<br />
</p>
ATP3
largerWorkCitation
project
eng; USA
oceans
Western Sargasso Sea roughly 38-20N and 66-43W, Water depths always exceeded 4200m
2011-12-06
Western Sargasso Sea roughly 38-20oN and 66-43oW. <br>Water depths always exceeded 4200m.
0
BCO-DMO catalogue of parameters from CTD data from R/V Atlantic Explorer X0606, X0705, AE0810 in the Western Sargasso Sea roughly 38-20N and 66-43W from 2006-2008 (ATP3 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
http://lod.bco-dmo.org/id/dataset-parameter/21845.rdf
Name: CruiseId
Units: text
Description: <p>Cruise Id</p>
http://lod.bco-dmo.org/id/dataset-parameter/21846.rdf
Name: Station
Units: integer
Description: <p>Station Id</p>
http://lod.bco-dmo.org/id/dataset-parameter/21847.rdf
Name: Cast
Units: integer
Description: <p>CTD drop number</p>
http://lod.bco-dmo.org/id/dataset-parameter/21848.rdf
Name: date
Units: YYYYMMDD
Description: <p>date of operation (GMT)</p>
http://lod.bco-dmo.org/id/dataset-parameter/21849.rdf
Name: time
Units: HHMM
Description: <p>time of operation (GMT)</p>
http://lod.bco-dmo.org/id/dataset-parameter/21850.rdf
Name: lon
Units: decimal degrees
Description: <p>Longitude position West is negative</p>
http://lod.bco-dmo.org/id/dataset-parameter/21851.rdf
Name: lat
Units: decimal degrees
Description: <p>Latitude position South is negative</p>
http://lod.bco-dmo.org/id/dataset-parameter/21852.rdf
Name: Depth
Units: meters
Description: <p>depth</p>
http://lod.bco-dmo.org/id/dataset-parameter/21853.rdf
Name: Depth_actual
Units: meters
Description: <p>depth retrieved from CTD pressure sensor</p>
http://lod.bco-dmo.org/id/dataset-parameter/21854.rdf
Name: Temp_1
Units: degrees celsius
Description: <p>primary temperature sensor</p>
http://lod.bco-dmo.org/id/dataset-parameter/21855.rdf
Name: Temp_2
Units: degrees celsius
Description: <p>secondary temperature sensor</p>
http://lod.bco-dmo.org/id/dataset-parameter/21856.rdf
Name: Salinity_1
Units: dimensionless
Description: <p>primary conductivity sensor</p>
http://lod.bco-dmo.org/id/dataset-parameter/21857.rdf
Name: Salinity_2
Units: dimensionless
Description: <p>secondary conductivity sensor</p>
http://lod.bco-dmo.org/id/dataset-parameter/21858.rdf
Name: Sigma_theta_1
Units: kg/m3
Description: <p>density derived from primary sensors</p>
http://lod.bco-dmo.org/id/dataset-parameter/21859.rdf
Name: Sigma_theta_2
Units: kg/m3
Description: <p>density derived from secondary sensors</p>
http://lod.bco-dmo.org/id/dataset-parameter/21860.rdf
Name: Fluorescence
Units: relative
Description: <p>CTD Fluormeter</p>
http://lod.bco-dmo.org/id/dataset-parameter/21861.rdf
Name: DO_1
Units: umol/kg
Description: <p>primary dissolved oxygen sensor</p>
http://lod.bco-dmo.org/id/dataset-parameter/21862.rdf
Name: DO_2
Units: umol/kg
Description: <p>secondary dissolved oxygen sensor</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
4746862
https://datadocs.bco-dmo.org/file/4WW2rBWUYJwO54/CTD.csv
CTD.csv
Primary data file for dataset ID 3355
download
https://osprey.bco-dmo.org/dataset/3355/data/download
download
onLine
dataset
<p><strong>Sampling and Analytical Methodology:</strong><br />
Detailed methods for all data collected as part of this study can be found in the publications<br />
arising from this study (references given below). This contains information on analytical<br />
machines and certified standards where applicable.<br />
<br />
Sample QA/QC procedures followed those of the Bermuda Atlantic Time-series Study (BATS).<br />
At the point of collection, any leaking niskin bottles were noted on the master cast sheets<br />
and samples were taken from a different niskin fired at the same depth as the leaking bottle.<br />
No data are reported for leaking Niskin bottles. During sample analysis standard curves<br />
and/or certified standards were carefully examined to ensure that they were consistent with<br />
expectations and accurate. If nothing was found, then we examined other data from that<br />
niskin to see if other samples are in question. If no obvious error or problem was found,<br />
the data were considered OK and in the range of environmental data that this study hoped<br />
to observe.<br />
<br />
<strong>Sample accuracy and precision:</strong><br />
Sample accuracy was assessed by using certified standards, for those measurements where<br />
standards are available (dissolved oxygen, nutrients, salinity). Certified standards were<br />
run with each analytical run and compared to long term control charts for respective analyses.<br />
Samples were not run until certified standards were shown to be accurate for that analytical<br />
run. Sample precision was determined by analyzing replicate samples (not replicate analyses<br />
on the same sample) and therefore is higher than analytical precision due to the inclusion<br />
of sampling error. At the concentrations observed during this study, sample precision was<br />
&lt;5% for stock measurements and &lt;10% for rate measurements. Some analyses, namely dissolved<br />
<!--5--> oxygen and salinity, were much better and often had a sample precisions &lt;1%. These precision<br />
<!--1--> estimates are consistent with the long term QA/QC seen with the BATS program.<br />
<br />
The provided data files are complete matrices and therefore not every sample (columns) will be<br />
taken from every Niskin fired (rows). Data that were either not collected, or were associated<br />
with leaking Niskins, or were found to be in error for other reasons are denoted by "nd" in the<br />
spreadsheets.</p>
Specified by the Principal Investigator(s)
<p><strong>Data Processing:</strong><br />
Most of the data given in this dataset are not derived variables and are calculated using<br />
reasonably standard equations as given in the appropriate reference above. The one exception<br />
is CTD data. Raw CTD data were processed using SBE-Data Processing software using configuration<br />
and calibration files provided by the Shipboard Science technician. Sensors were calibrated<br />
every 6 months. Manual determinations of dissolved oxygen, salinity and HPLC Chlorophyll a,<br />
once passing the above QA/QC steps, were taken as correct. CTD sensor data was regressed against<br />
the appropriate manual variable. In all cases, regression statistics were very strong and linear.<br />
CTD data were corrected to manual measurements using the regression data and it is this corrected<br />
data that is given in the associated data files.<br />
<br />
Only nutrient analyses were close to analytical method detection limits (MDL). MDLs were estimated<br />
as 3x the standard deviation of the lowest standard used for the analysis and are ~30nM for nitrate<br />
and phosphate using a standard autoanalyzer. We used the MAGIC co-precipitation method for phosphate<br />
which lowered our MDL to ~1.5nM. Samples below the MDL are reported as calculated for the reason<br />
that they are somewhere between the MDL and a true zero; we consider listing them as either to be<br />
incorrect.<br />
<br />
<br />
<strong>BCO-DMO Edits</strong><br />
- Parameter names modified to conform to BCO-DMO convention<br />
- date reformatted to YYYYMMDD<br />
- time reformatted to HHMM<br />
- lat/lon padded to 7 decimal places<br />
- added CruiseId column and combined all CTD data into one dataset<br />
- X0606 station 7 year corrected from 2007 to 2006<br />
- Lat/Lons for X0606 standardized to positions from BGC data</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
CTD Sea-Bird 911
CTD Sea-Bird 911
PI Supplied Instrument Name: CTD Sea-Bird 911 PI Supplied Instrument Description:1.0 CTD
1.1 Seabird Electronics SBE 9/11+ Max Depth is 6800m for all CTD sensors except
Chelsea Fluorometer, Wetlabs Transmissometer and Altimeter which are all
6000m. Aluminum frame holds 24 12 liter water samplers.
1.2 Sensors include Seabird SBE 9/11+, Dual pumped Temperature, conductivity
and Dissolved Oxygen. Chelsea Aquatracka III Flourometer, Wetlabs SeaStar
25cm/660nm Transmissometer, Benthos PSA9000 Altimeter. All data logged with
Seabird Software.
1.3 Water Samplers - 24x12 liter Ocean Test Equipment (OTE) Niskin Water
samplers and 4x10 liter OTE Go-Flo's. Instrument Name: CTD Sea-Bird 911 Instrument Short Name:CTD SBE 911 Instrument Description: The Sea-Bird SBE 911 is a type of CTD instrument package. The SBE 911 includes the SBE 9 Underwater Unit and the SBE 11 Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9 and SBE 11 is called a SBE 911. The SBE 9 uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 and SBE 4). The SBE 9 CTD can be configured with auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorescence, light (PAR), light transmission, etc.). More information from Sea-Bird Electronics. Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0035/
Cruise: X0606
X0606
R/V Atlantic Explorer
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantic Explorer
vessel
X0606
Michael W. Lomas
Bermuda Institute of Ocean Sciences
Cruise: X0705
X0705
R/V Atlantic Explorer
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantic Explorer
vessel
X0705
Michael W. Lomas
Bermuda Institute of Ocean Sciences
Cruise: AE0810
AE0810
R/V Atlantic Explorer
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantic Explorer
vessel
AE0810
Michael W. Lomas
Bermuda Institute of Ocean Sciences
R/V Atlantic Explorer
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantic Explorer
vessel