http://lod.bco-dmo.org/id/dataset/784396
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
2019-12-16
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Mass flux and concentrations of bulk components (Carbonate, Organic Carbon/Nitrogen, Lithogenics, Opal) and elements in the flux at 500m, 1500m and 3200m depths from the OFP sediment trap time-series in the northern Sargasso Sea
2022-08-30
publication
2022-08-30
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2022-08-30
publication
https://doi.org/10.26008/1912/bco-dmo.784396.1
Maureen H. Conte
Bermuda Institute of Ocean Sciences
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: Conte, M. H. (2022) Mass flux and concentrations of bulk components (Carbonate, Organic Carbon/Nitrogen, Lithogenics, Opal) and elements in the flux at 500m, 1500m and 3200m depths from the OFP sediment trap time-series in the northern Sargasso Sea. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-08-30 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.784396.1 [access date]
Mass flux and concentrations of bulk components (Carbonate, Organic Carbon/Nitrogen, Lithogenics, Opal and elements) in the flux at 500m, 1500m and 3200m depths Dataset Description: <p>Mass flux and concentrations of bulk components (Carbonate, Organic Carbon/Nitrogen, Lithogenics, Opal) and elements in the flux at 500m, 1500m and 3200m depths from the&nbsp;OFP sediment trap time-series in the northern Sargasso Sea.</p>
<p><strong>Access restrictions: </strong><br />
If you plan to use this data, please contact me, Maureen H. Conte @ <a href="mailto:mconte@mbl.edu">mconte@mbl.edu</a>. For the OFP time-series records, it is extremely important that we have a record of how the data are utilized, and by whom to support continued OFP funding. Also, talking with me will ensure that you are clear about the data naming conventions, etc., and let you know if there are others using the data for similar research. I also can give you some valuable insights that should be valuable concerning the OFP flux data in general. Thank you! Maureen Conte, principal Investigator OFP time-series</p> Methods and Sampling: <p>Sampling and analytical methodology for carbonate, and organic carbon/nitrogen are described in detail in the "2019_OFP_Methodologies" document (see Supplemental Files).</p>
<p>Analytical methodology for the element data are described in detail in Conte et al. (2019).</p>
<p>The LiBO2 fusion method is described in detail in Huang et al. (2007).</p>
<p>Briefly, the dried &lt;1mm sediment trap material is processed by fusion with high purity lithium metaborate (LiBO2) flux at 1000 C in a dedicated combustion furnace. The sample to LiBO2 flux ratio for fusion is approximately1:2.5. The fused sample bead is subsequently dissolved in 1M HNO3 for ICPMS analysis. From 2000 to 2004, we used 1–2 mg of flux material for analysis, but in 2005 we increased this to ~6 mg to reduce analytical variability associated with particle heterogeneity. Blank analyses of the LiBO2 flux are run with each sample set to assess contamination. The final sample solution was analyzed on a high-resolution Finnigan Element 2 ICPMS. A matrix-matching multi-element external standard solution was used for determination of the trace element concentrations.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1536644 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1536644
completed
Maureen H. Conte
Bermuda Institute of Ocean Sciences
508-289-7744
Bermuda Institute of Ocean Sciences 17 Biological Station
St. Georges
GE01
Bermuda
maureen.conte@bios.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
depth
SampleID
SeqDay
midSeqDay
StartYr
StartMo
StartDay
MidJDay
MassFlux
pcnt_Carb_lt_125
pcnt_Corg_lt_125
pcnt_N_lt_125
pcnt_Lith_lt_1000est
pcnt_Opal_lt_1000est
Mg_lt_1000
Al_lt_1000
Total_Si_lt_1000
P_lt_1000
Ca_lt_1000
Sc_lt_1000
Ti_lt_1000
V_lt_1000
Cr_lt_1000
Mn_lt_1000
Fe_lt_1000
Co_lt_1000
Ni_lt_1000
Cu_lt_1000
Zn_lt_1000
Sr_lt_1000
Cd_lt_1000
Ba_lt_1000
Pb_lt_1000
Comments
theme
None, User defined
depth
sample identification
time_elapsed
sample time
year
month of year
day of month
flux
Carbonate concentration [CO3]2-
Elemental carbon (C)
Nitrogen
mass
Magnesium
Aluminum
Silicon
Phosphorus
Calcium
Scandium
Titanium
Vanadium
Chromium
Manganese
Iron
Cobalt
Nickel
Copper
Zinc
Strontium
Cadmium
Barium
Lead
comments
featureType
BCO-DMO Standard Parameters
McLane PARFLUX Mark 8 Sediment Trap
instrument
BCO-DMO Standard Instruments
OFP_Time-Series
service
Deployment Activity
~45 km southeast of Bermuda
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.
Oceanic Flux Program
http://www.mbl.edu/ecosystems/conte/ofp/
Oceanic Flux Program
(Adapted from the NSF Project Summary)
Since 1978, the Oceanic Flux Program (OFP), originally founded and managed by at the Woods Hole Oceanographic Institution and now managed by the Bermuda Institute of Ocean Science (BIOS), has continuously measured particle fluxes in the deep Sargasso Sea. The 35+ year OFP time-series is, by far, the longest of its kind and unique in its focus on the deep ocean. OFP has produced a unique, albeit "edited", record of temporal variability in the "biological pump", a term loosely applied here to material transfer from the surface to the deep ocean. The OFP provided the first direct evidence for seasonality in the deep ocean and the tight coupling between deep fluxes and upper ocean processes. It has provided clear evidence of the intensity of biological reprocessing of flux and scavenging of suspended material in mesopelagic waters. The record has documented interannual and longer variations in deep fluxes and shorter term fluctuations driven by the interactions between mesoscale physical variability, meteorological forcing and ecosystem responses.
OFP
largerWorkCitation
program
Time Series Particle Flux Measurements in the Sargasso Sea
https://www.mbl.edu/research/research-centers/ecosystems-center/research-projects/oceanic-flux-program-ofp
Time Series Particle Flux Measurements in the Sargasso Sea
<p>The Oceanic Flux Program (OFP) has continuously measured particle fluxes in the deep Sargasso Sea since 1978. The OFP is the longest running continuous time-series of its kind, and has produced a unique record of temporal variability in material transfer from the surface to the deep ocean (the “biological pump") resulting from the interplay between physical, biological and chemical processes. The OFP deploys a subsurface mooring anchored in 4500m of water with three McLane Research Parflux Mark 8 sediment traps located at 500m, 1500m and 3200m depths. These traps continuously collect the sinking particle flux at an approximate 2 week sampling resolution.</p>
<p>The most recent project awards and abstracts are listed below. A detailed history of funding with summary of all project awards for OFP can be found below.</p>
<p><strong><em>October 2024 through September 2027<br />
NSF Award OCE-2421112 Abstract:</em></strong></p>
<p>This award provides an additional three years of support for the Oceanic Flux Program (OFP). The OFP was established in 1978 to measure the export flux of particles from the surface to the deep ocean in the deep Sargasso Sea near Bermuda. The OFP is the longest and most continuous particle flux time-series of its kind. Through collaboration with nearby upper ocean time-series programs, facilities, and other Bermuda-based sampling programs, OFP will continue to be a valuable resource for the oceanographic community in the effort to answer questions about the intricate relationship between deep ocean particle flux and climate, as well as biological, physical, and chemical oceanographic processes. Looking to the future, OFP will use increasingly advanced instrumentation and state-of-the-art analytical tools to investigate the nature and patterns of the material that sinks from the surface to deep ocean and the mechanisms that drive that process. The OFP provides education and training for students from high school to Ph.D. levels and supports early career researchers. OFP data and samples are broadly available to other researchers across the scientific disciplines.</p>
<p>Two overarching goals drive core activities funded under the OFP grant. The first is to extend the time-series by collecting new samples of the highest quality, while ensuring they have a comprehensive oceanographic context. The second is to elucidate the processes that drive oceanic particle flux through comparative studies of flux magnitude and composition with concurrent observations of external forcing (e.g., synoptic scale meteorology, climate patterns), surface water physics and biology (e.g., mesoscale features, blooms), and interior processes (e.g., biological particle aggregation/disaggregation, elemental scavenging, authigenic mineralization). The specific grant objectives are: (1) to provide for continuity of the particle flux measurements at 500, 1500 and 3200 m depths and continue to refine the quality of the time-series record and expand its oceanographic context, (2) to update/calibrate OFP sample processing and analytical methods to enhance the time-series data record, and to curate the time-series sample archives for future study, (3) to promote collaborative research to maximize interdisciplinary information obtained from the samples, (4) to conduct focused studies to identify deep flux temporal trends and their coherence with upper ocean forcing, to elucidate causal flux generation processes, and to develop proxies for climate studies,<br />
(5) to provide education and training opportunities. A particular focus of this funding cycle will be to analyze the extensive OFP digital image archive with an automated (and/or semi-automated) approach, including classical methodologies and Deep Learning (DL) based tools for image classification, segmentation and archive, and a Graphical User Interface (GUI). The development of these new tools for identification, quantification, and characterization of the flux material will better exploit the image archive's potential, as fuller characterization of biological components will contribute new information on the ecosystem dynamics and responses to environmental forcing that drive flux generation.<br />
</p>
<p><strong><em>October 2023 through September 2025<br />
NSF Award OCE-2414704 Abstract:</em></strong></p>
<p>This award provides an additional three years of support for the Oceanic Flux Program (OFP). This program was first established in 1978 to measure the export flux of particles from the surface to the deep ocean in the deep Sargasso Sea and represents the longest and most continuous particle flux time-series of its kind. This program and the time-series record will continue to help the oceanographic community to answer questions about the relationship between deep ocean particle flux and climate and biological, physical, and chemical oceanographic processes. In the past, the OFP has provided evidence for coupling between the upper and deep ocean processes linked to seasonal, episodic (e.g., physical and meteorological forcing) and climate patterns. Looking to the future, this program will utilize increasingly advanced instrumentation and analytical tools to address questions about the material that sinks from the surface to deep ocean and its controls. The OFP provides education and training for students from the high school to Ph.D. level and supports early career researchers.</p>
<p>The OFP time-series represents a 43-year, nearly continuous record focused on particle fluxes in the deep ocean. With increasingly more data available from the lengthening record, investigators can put observed biogeochemical patterns into perspective to understand the interplay between climate and ocean functioning. The availability of data from complementary nearby Hydrostation S, the Bermuda Atlantic Time-Series (BATS), the Bermuda Testbed Mooring (1994-2007), the Tudor Hill atmospheric tower and other Bermuda sampling programs provide additional opportunities to study upper ocean physics and biogeochemistry coupled with deep ocean biogeochemical processes. The OFP record is becoming long enough to study deep flux linkages with gyre circulation and advective processes. The OFP's archive is an unparalleled resource for retrospective studies of temporal trends and the biogeochemical consequences of a changing ocean, including future impacts of ocean acidification. As the OFP heads into the future, increasingly sophisticated OFP mooring instrumentation (ADCP current profiling and backscatter; MicroCAT temperature, salinity, and oxygen measurements) and advances in digital imaging and analytical tools (both chemical and genomic) to probe the recovered flux materials continue to reveal novel, fundamental information about the oceanic particle flux and its controls</p>
<p> </p>
OFP Sargasso Sea
largerWorkCitation
project
eng; USA
oceans
~45 km southeast of Bermuda
-64.0833
-64.0833
31.9167
31.9167
2000-10-07
2015-03-31
Sargasso Sea
0
BCO-DMO catalogue of parameters from Mass flux and concentrations of bulk components (Carbonate, Organic Carbon/Nitrogen, Lithogenics, Opal) and elements in the flux at 500m, 1500m and 3200m depths from the OFP sediment trap time-series in the northern Sargasso Sea
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/784429.rdf
Name: depth
Units: meters (m)
Description: <p>sampling depth in meters</p>
http://lod.bco-dmo.org/id/dataset-parameter/784430.rdf
Name: SampleID
Units: unitless
Description: <p>The OFP naming convention uses the month of the mooring recovery cruise, the sequential number of the trap cup, and trap depth. E.g. %11/10-4 1500 denotes the sample was recovered in Nov 2010, was the fourth trap cup in the sampling rotation during the deployment and the sediment trap was located at 1500m depth. Samples collected using the single cup trap (prior to 1989), are named by the recovery date only (Please note: The Sample ID does NOT indicate the date of sample collection!! The start date of the sample collection is provided by the sequence day (Sequence Day 1 = 4 Apr 1978) and the start calendar date.</p>
http://lod.bco-dmo.org/id/dataset-parameter/784431.rdf
Name: SeqDay
Units: unitless
Description: <p>Number of days since the beginning of the OFP time-series (SeqDay 1=4 April 1978). The SeqDay is the first day of the sample collection period.</p>
http://lod.bco-dmo.org/id/dataset-parameter/784432.rdf
Name: midSeqDay
Units: unitless
Description: <p>Sequence day of the middle of the sample collection period</p>
http://lod.bco-dmo.org/id/dataset-parameter/784433.rdf
Name: StartYr
Units: unitless
Description: <p>Start year for sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/784434.rdf
Name: StartMo
Units: unitless
Description: <p>Start month for sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/784435.rdf
Name: StartDay
Units: unitless
Description: <p>Start day for sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/784436.rdf
Name: MidJDay
Units: unitless
Description: <p>Mid Julian Day is the Julian Day (Day of Year) of the midpoint of the sample collection period.</p>
http://lod.bco-dmo.org/id/dataset-parameter/784437.rdf
Name: MassFlux
Units: milligrams per square meter per day (mg/m2/day)
Description: <p>Total mass Flux</p>
http://lod.bco-dmo.org/id/dataset-parameter/784438.rdf
Name: pcnt_Carb_lt_125
Units: unitless (percent)
Description: <p>percent carbonate by weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/784439.rdf
Name: pcnt_Corg_lt_125
Units: unitless (percent)
Description: <p>percent organic carbon by weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/784440.rdf
Name: pcnt_N_lt_125
Units: unitless (percent)
Description: <p>percent nitrogen by weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/784441.rdf
Name: pcnt_Lith_lt_1000est
Units: unitless (percent)
Description: <p>estimated mass percent lithogenic material</p>
http://lod.bco-dmo.org/id/dataset-parameter/784442.rdf
Name: pcnt_Opal_lt_1000est
Units: unitless (percent)
Description: <p>estimated mass percent opal</p>
http://lod.bco-dmo.org/id/dataset-parameter/784443.rdf
Name: Mg_lt_1000
Units: milligrams per kilogram
Description: <p>Mg concentration by weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/784444.rdf
Name: Al_lt_1000
Units: milligrams per kilogram
Description: <p>Al concentration by weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/784445.rdf
Name: Total_Si_lt_1000
Units: milligrams per kilogram
Description: <p>Total Si (Biogenic Si + lithogenic Si) concentration by weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/784446.rdf
Name: P_lt_1000
Units: milligrams per kilogram
Description: <p>P concentration by weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/784447.rdf
Name: Ca_lt_1000
Units: milligrams per kilogram
Description: <p>Ca concentration by weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/784448.rdf
Name: Sc_lt_1000
Units: milligrams per kilogram
Description: <p>Sc concentration by weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/784449.rdf
Name: Ti_lt_1000
Units: milligrams per kilogram
Description: <p>Ti concentration by weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/784450.rdf
Name: V_lt_1000
Units: milligrams per kilogram
Description: <p>V concentration by weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/784451.rdf
Name: Cr_lt_1000
Units: milligrams per kilogram
Description: <p>Cr concentration by weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/784452.rdf
Name: Mn_lt_1000
Units: milligrams per kilogram
Description: <p>Mn concentration by weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/784453.rdf
Name: Fe_lt_1000
Units: milligrams per kilogram
Description: <p>Fe concentration by weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/784454.rdf
Name: Co_lt_1000
Units: milligrams per kilogram
Description: <p>Co concentration by weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/784455.rdf
Name: Ni_lt_1000
Units: milligrams per kilogram
Description: <p>Ni concentration by weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/784456.rdf
Name: Cu_lt_1000
Units: milligrams per kilogram
Description: <p>Cu concentration by weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/784457.rdf
Name: Zn_lt_1000
Units: milligrams per kilogram
Description: <p>Zn concentration by weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/784458.rdf
Name: Sr_lt_1000
Units: milligrams per kilogram
Description: <p>Sr concentration by weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/784459.rdf
Name: Cd_lt_1000
Units: milligrams per kilogram
Description: <p>Cd concentration by weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/784460.rdf
Name: Ba_lt_1000
Units: milligrams per kilogram
Description: <p>Ba concentration by weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/784461.rdf
Name: Pb_lt_1000
Units: milligrams per kilogram
Description: <p>Pb concentration by weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/784462.rdf
Name: Comments
Units: unitless
Description: <p>notes/comments</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
116240
https://darchive.mblwhoilibrary.org/bitstream/1912/29297/1/dataset-784396_ofp-elemental__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.784396.1
download
onLine
dataset
<p>Sampling and analytical methodology for carbonate, and organic carbon/nitrogen are described in detail in the "2019_OFP_Methodologies" document (see Supplemental Files).</p>
<p>Analytical methodology for the element data are described in detail in Conte et al. (2019).</p>
<p>The LiBO2 fusion method is described in detail in Huang et al. (2007).</p>
<p>Briefly, the dried &lt;1mm sediment trap material is processed by fusion with high purity lithium metaborate (LiBO2) flux at 1000 C in a dedicated combustion furnace. The sample to LiBO2 flux ratio for fusion is approximately1:2.5. The fused sample bead is subsequently dissolved in 1M HNO3 for ICPMS analysis. From 2000 to 2004, we used 1–2 mg of flux material for analysis, but in 2005 we increased this to ~6 mg to reduce analytical variability associated with particle heterogeneity. Blank analyses of the LiBO2 flux are run with each sample set to assess contamination. The final sample solution was analyzed on a high-resolution Finnigan Element 2 ICPMS. A matrix-matching multi-element external standard solution was used for determination of the trace element concentrations.</p>
Specified by the Principal Investigator(s)
<p>Processing information is described in detail in the "2019_OFP_methodologies" document (see Supplemental Files).</p>
<p>BCO-DMO Processing:<br />
- modified parameter names: replaced % with "pcnt", &gt; with "gt", &lt; with "lt", and hyphens with underscores;<br />
- replaced missing data and values of "-999" with "nd" (no 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
PI Supplied Instrument Name: Instrument Name: McLane PARFLUX Mark 8 Sediment Trap Instrument Short Name:McLane PARFLUX Mark 8 Instrument Description: The Mark 8 Sediment Trap is a time-series instrument that autonomously collects the flux of settling particles on an operator-defined schedule. The wide top funnel accumulates particulate specimens into individual sample bottles. The cone interior is natural polyethylene. Deploys from a stand-alone mooring or a large high-tension vertical array.
McLane Mark 8 Data Sheet (PDF)
McLane website: https://mclanelabs.com/sediment-traps/ Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/33/
Deployment: OFP_Time-Series
OFP_Time-Series
OFP_mooring
mooring
OFP_Time-Series
Maureen H. Conte
Marine Biological Laboratory
OFP_mooring
mooring