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            <gco:CharacterString>Cite this dataset as: Pedrosa Pàmies, R. (2026) Sediment-trap particle flux and composition measurements before, during, and after the passage of Hurricane Fabian (2003) and Hurricane Igor (2010) that resuspended large amounts of sediment from the Bermuda Platform. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-05-22 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/998301 [access date]</gco:CharacterString>
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        <gco:CharacterString>Bermuda carbonate platform sediment export to the deep Dataset Description:  Methods and Sampling: &amp;lt;p&amp;gt;&amp;lt;em&amp;gt;&amp;lt;strong&amp;gt;Particle Fluxes&amp;lt;/strong&amp;gt;&amp;lt;/em&amp;gt;&amp;lt;br /&amp;gt;
The OFP mooring and sample collection methods are provided in Conte et al. (2001). The OFP mooring uses conical Parflux sediment traps (McLane Research Laboratories, Falmouth MA, USA) having a 0.5 square meters (m2) sampling area. Traps are deployed at 500, 1,500 and 3,200 m depths and continuously collect the sinking particle flux at an approximate biweekly resolution. Trap cups are filled with deep seawater brine (41 parts per thousand (ppt)) poisoned with ultra‐trace metal purity HgCl2 (200 milligrams per liter (mg L-1)) to prevent organic matter degradation. Before deployment, trap cups are filled in a laminar flow hood with a trace metal clean brine (41 ppt), prepared from seawater collected at 3,000 m depth using trace‐metal clean Go‐Flo bottles, poisoned with ultra‐purity mercuric chloride (200 mg L-1) to arrest bacterial activity. Process and deployment blanks are collected during each deployment to assess potential contamination.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;lt;em&amp;gt;&amp;lt;strong&amp;gt;Analytical Methods&amp;lt;/strong&amp;gt;&amp;lt;br /&amp;gt;
O&amp;lt;/em&amp;gt;&amp;lt;em&amp;gt;FP sample processing:&amp;lt;/em&amp;gt; Sample processing protocols are described in Conte et al. (2001, 2003, 2019). Prior to quantitative sample splitting, &amp;amp;gt;1,000 micrometer (μm) -sized material is transferred to a pre‐weighed Petri dish for photog- raphy, removal of swimmers, and dried at 55 degrees Celsius (°C) for mass determination. The remaining, &amp;amp;lt;1000 µm material is split using a McLane rotary splitter (McLane Research Laboratories, Falmouth, MA, USA). Three subsamples are designated for organic analysis and one for trace elemental analysis. The remaining subsamples (60%) are recombined and fractionated into 500–1,000 μm, 125–500 μm, and &amp;amp;lt;125 μm size fractions. For Hurricanes Fabian (25 Aug‐8Sep 2003) and Igor (13-28 Sep, 28 Sep - 12 Oct 2010) samples, the &amp;amp;lt;125 μm fraction was divided into additional size fractions to better characterize the hurricane sediment plumes. The 63-125 μm (&amp;quot;fine sand&amp;quot;) and 37-63 μm (&amp;quot;coarse silt&amp;quot;) fractions were separated using stainless‐steel sieves. The 4-37 μm (&amp;quot;medium‐fine silt&amp;quot;) fraction was concentrated by centrifuging 7 minutes at 1,000 rpm, and the supernatant containing the &amp;amp;lt;4 μm (&amp;quot;clay&amp;quot;) fraction was concentrated by centrifuging 10 minutes at 3,000 rpm (modified from Pedrosa‐Pàmies et al., 2013). We note that for these detrital carbonate sediments the standard nomenclature commonly used for these fractions is an operational definition only. The larger size fractions (&amp;amp;gt;125 μm) were quantitatively photographed (described below), dried at 55°C and weighed to the nearest 0.01 mg. &amp;amp;lt;125 μm size fraction was freeze‐dried and weighed. Mass flux was calculated from combined weights of all size fractions.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;lt;em&amp;gt;Carbonate analyses:&amp;lt;/em&amp;gt; Carbonate analyses were performed using a Coulometrics model 5011 coulometer (UIC Inc.) equipped with a System 140 module for inorganic carbon determination. Analytical uncertainty is &amp;amp;lt;1.8% based on repeated measurements of flux material working standards. Carbonate δ13C and δ18O were analyzed using a Finnigan MAT252 mass spectrometer following the procedure of Ostermann and Curry (2000). Analytical precision was ±0.04 for δ18O and ±0.05 for δ13C based on the reproducibility of the internal WHOI Atlantis II coral standard. Bulk and isotopic analyses are made on the &amp;amp;lt;125 μm size fraction and converted to total flux by assuming that the total mass composition approximates that of the &amp;amp;lt;125 μm fraction which comprises most of the mass. Analytical precision was ±0.04 for δ18O and ±0.05 for δ13C based on the reproducibility of the internal WHOI Atlantis II coral standard. Bulk and isotopic analyses are made on the &amp;amp;lt;125 μm size fraction and converted to total flux by assuming that the total mass composition approximates that of the &amp;amp;lt;125 μm fraction which comprises most of the mass.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;lt;em&amp;gt;Organic carbon analyses: &amp;lt;/em&amp;gt;Particulate organic carbon (POC) and nitrogen (N) concentrations and stable isotopic composition were analyzed using a Europa 20‐20 CF‐IRMS interfaced with the Europa ANCA‐SL elemental analyzer. Before analysis, carbonates were removed by pre‐treatment with 4% sulfurous acid using a modified Verardo et al. (1990) method. Analytical uncertainty is &amp;amp;lt;0.18% based on repeated measurements of flux material working standards.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;lt;em&amp;gt;Elemental analysis: &amp;lt;/em&amp;gt;Elemental analyses were made on the total &amp;amp;lt;1,000 μm material using a fusion‐Inductively Coupled Plasma Mass Spectrometry (ICPMS) method developed for multi‐elemental analysis of flux material (Huang et al., 2007). Briefly, the dried sample (4-6 mg) is fused with high purity lithium metaborate (LiBO2) flux at 1,000°C in a dedicated combustion furnace, using a sample to LiBO2 flux ratio of 1:2.5. The fused sample bead was dissolved in 1M HNO3 for ICPMS analysis. Samples were analyzed on a Finnigan Element 2 ICPMS at the Woods Hole Oceanographic ICPMS Facility. Lithogenic concentration was estimated from Si and Al concentrations, assuming that the Al flux was carried mainly by lithogenic particles whose composition approximates that of pelagic clay sediments (25% Si and 8.4% Al, Li and Schoonmaker, 2003): [Lithogenic] = [Al] /0.084. Biogenic Si was estimated by subtracting the lithogenic Si from the total Si and converted to opal assuming an opal opal water content of SiO2·0.4H2O (Mortlock &amp;amp;amp; Froelich, 1989). To assess analytical reproducibility and uncertainty over the analysis period and to allow for data intercalibration, we ran the certified standard PACS-2 (National Research Council of Canada) with each fusion group, and also periodically ran well-characterized working standards of OFP sediment trap material.&amp;amp;nbsp;&amp;lt;/p&amp;gt;</gco:CharacterString>
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        <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/award/969877.rdf" xlink:title="OCE-2421112" xlink:actuate="onRequest">Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2421112 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2421112</gmx:Anchor>
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        <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/award/969882.rdf" xlink:title="OCE-2414704" xlink:actuate="onRequest">Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2414704 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2414704</gmx:Anchor>
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        <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/award/969883.rdf" xlink:title="OCE-2122619" xlink:actuate="onRequest">Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2122619 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2122619</gmx:Anchor>
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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 &quot;edited&quot;, record of temporal variability in the &quot;biological pump&quot;, 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.</gco:CharacterString>
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                            <gco:CharacterString>&lt;p&gt;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&quot;) 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.&lt;/p&gt;
&lt;p&gt;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.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;&lt;em&gt;October 2024 through September 2027&lt;br /&gt;
NSF Award OCE-2421112 Abstract:&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;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.&lt;/p&gt;
&lt;p&gt;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,&lt;br /&gt;
(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.&lt;br /&gt;
 &lt;/p&gt;
&lt;p&gt;&lt;strong&gt;&lt;em&gt;October 2023 through September 2025&lt;br /&gt;
NSF Award OCE-2414704 Abstract:&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;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.&lt;/p&gt;
&lt;p&gt;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&lt;/p&gt;
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	Name: Depth
	Units: meters (m)
	Description: &lt;p&gt;OFP sediment trap depth&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999261.rdf
	Name: Hurricane
	Units: unitless
	Description: &lt;p&gt;Name of the Hurricane (Fabian or Igor)&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999262.rdf
	Name: pre_passage_post_hurricane
	Units: units
	Description: &lt;p&gt;descriptor of hurricane passage (pre-hurricane, hurricane, or post-hurricane)&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999263.rdf
	Name: Latitude
	Units: decimal degrees
	Description: &lt;p&gt;Latitude of sampling location&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999265.rdf
	Name: Longitude
	Units: decimal degrees
	Description: &lt;p&gt;Longitude of sampling location&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999267.rdf
	Name: CUP
	Units: unitless
	Description: &lt;p&gt;OFP trap cup ID&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999268.rdf
	Name: Sampling_Start_Date
	Units: unitless
	Description: &lt;p&gt;Trap cup sampling start date&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999269.rdf
	Name: Sampling_End_Date
	Units: unitless
	Description: &lt;p&gt;Trap cup sampling end date&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999270.rdf
	Name: Duration
	Units: days
	Description: &lt;p&gt;Duration of trap cup sampling&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999271.rdf
	Name: Total_mass_Flux
	Units: milligrams per square meter per day (mg/m2/d)
	Description: &lt;p&gt;Total mass Flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999272.rdf
	Name: Mass_gt_1000_um
	Units: % of Total Mass Flux
	Description: &lt;p&gt;percentage of &amp;gt;1000 µm Mass&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999273.rdf
	Name: Mass_500_to_1000_um
	Units: % of Total Mass Flux
	Description: &lt;p&gt;percentage of 500-1000µm Mass&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999274.rdf
	Name: Mass_125_to_500_um
	Units: % of Total Mass Flux
	Description: &lt;p&gt;percentage of 125-500µm Mass&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999275.rdf
	Name: Mass_lt_125_um
	Units: % of Total Mass Flux
	Description: &lt;p&gt;percentage of less than 125µm Mass&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999276.rdf
	Name: Corg
	Units: percent (%)
	Description: &lt;p&gt;percentage of Organic Carbon from less than 125µm particles&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999277.rdf
	Name: Corg_std
	Units: percent (%)
	Description: &lt;p&gt;Stdv from percentage of Organic Carbon from less than  125µm particles  (3 replicates)&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999278.rdf
	Name: Corg_Flux_lt_125_um
	Units: milligrams per square meter per day (mg/m2/d)
	Description: &lt;p&gt;Organic Carbon Flux from less than 125µm particles&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999279.rdf
	Name: Total_lipids
	Units: micrograms per square meter per day (ug/m2/d)
	Description: &lt;p&gt;Total lipid flux  from &amp;lt;1000 um particles&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999280.rdf
	Name: pcnt_lipids_of_total_POC
	Units: percent (%)
	Description: &lt;p&gt;Percentage of lipids of the total particulate organic carbon&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999281.rdf
	Name: d13C
	Units: per mil  (‰)
	Description: &lt;p&gt;stable isotope 13C of particulate organic carbon. Analytical precision ±0.05, internal WHOI Atlantis II coral standard.&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999282.rdf
	Name: d13C_std
	Units: per mil (‰)
	Description: &lt;p&gt;stdv of stable isotope 13C of particulate organic carbon&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999283.rdf
	Name: N
	Units: percent (%)
	Description: &lt;p&gt;percentage of Nitrogen from less than 125µm particles&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999284.rdf
	Name: N_std
	Units: percent (%)
	Description: &lt;p&gt;Stdv percentage of Nitrogen from less than 125µm particles  (3 replicates)&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999285.rdf
	Name: N_Flux
	Units: milligrams per square meter per day (mg/m2/d)
	Description: &lt;p&gt;N Flux from less than 125µm particles&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999286.rdf
	Name: C_N_molar_ratio
	Units: unitless
	Description: &lt;p&gt;C/N molar ratio from less than 125µm particles&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999287.rdf
	Name: d15N
	Units: per mil (‰)
	Description: &lt;p&gt;stable isotope 15N of particulate organic matterfrom less than  125µm particles&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999288.rdf
	Name: d15N_std
	Units: per mil (‰)
	Description: &lt;p&gt;stdv stable isotope15N of particulate organic matter from less than 125µm particles&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999289.rdf
	Name: PIC_POC
	Units: unitless
	Description: &lt;p&gt;Particulate Inorganic Carbon/Particulate Organic Carbon ratio&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999290.rdf
	Name: CaCO3
	Units: percent (%)
	Description: &lt;p&gt;Percentage of Carbonates from less than 125µm particles&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999291.rdf
	Name: CaCO3_std
	Units: percent (%)
	Description: &lt;p&gt;Stdv Percentage of Carbonates from less than  125µm particles  (3 replicates)&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999292.rdf
	Name: CaCO3_Flux
	Units: milligrams per square meter per day (mg/m2/d)
	Description: &lt;p&gt;Carbonate flux from less than 125µm particles&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999293.rdf
	Name: d13C_CaCO3
	Units: per mil (‰)
	Description: &lt;p&gt;delta 13C stable isotope of carbonates  from less than 125µm particles . Analytical precision ±0.05, internal WHOI Atlantis II coral standard.&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999294.rdf
	Name: d13C_CaCO3_std
	Units: per mil (‰)
	Description: &lt;p&gt;stdv of delta 13C stable isotope of carbonates from less than 125µm particles (3 replicates)&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999295.rdf
	Name: d18O
	Units: per mil (‰)
	Description: &lt;p&gt;delta 18O stable isotope of carbonates  from less than  125µm particles. Analytical precision ±0.04, internal WHOI Atlantis II coral standard.&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999296.rdf
	Name: d18O_std
	Units: per mil (‰)
	Description: &lt;p&gt;stdv of delta 18O stable isotope of carbonates  from less than  125µm particles (3 replicates)&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999297.rdf
	Name: pcnt_Opal
	Units: percent (%)
	Description: &lt;p&gt;Percentage of Opal of particles less than 1000 um&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/999298.rdf
	Name: pcnt_lithogenic
	Units: percent (%)
	Description: &lt;p&gt;Percentage of lithogenic of particles less than 1000 um&lt;/p&gt; 
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The OFP mooring and sample collection methods are provided in Conte et al. (2001). The OFP mooring uses conical Parflux sediment traps (McLane Research Laboratories, Falmouth MA, USA) having a 0.5 square meters (m2) sampling area. Traps are deployed at 500, 1,500 and 3,200 m depths and continuously collect the sinking particle flux at an approximate biweekly resolution. Trap cups are filled with deep seawater brine (41 parts per thousand (ppt)) poisoned with ultra‐trace metal purity HgCl2 (200 milligrams per liter (mg L-1)) to prevent organic matter degradation. Before deployment, trap cups are filled in a laminar flow hood with a trace metal clean brine (41 ppt), prepared from seawater collected at 3,000 m depth using trace‐metal clean Go‐Flo bottles, poisoned with ultra‐purity mercuric chloride (200 mg L-1) to arrest bacterial activity. Process and deployment blanks are collected during each deployment to assess potential contamination.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;lt;em&amp;gt;&amp;lt;strong&amp;gt;Analytical Methods&amp;lt;/strong&amp;gt;&amp;lt;br /&amp;gt;
O&amp;lt;/em&amp;gt;&amp;lt;em&amp;gt;FP sample processing:&amp;lt;/em&amp;gt; Sample processing protocols are described in Conte et al. (2001, 2003, 2019). Prior to quantitative sample splitting, &amp;amp;gt;1,000 micrometer (μm) -sized material is transferred to a pre‐weighed Petri dish for photog- raphy, removal of swimmers, and dried at 55 degrees Celsius (°C) for mass determination. The remaining, &amp;amp;lt;1000 µm material is split using a McLane rotary splitter (McLane Research Laboratories, Falmouth, MA, USA). Three subsamples are designated for organic analysis and one for trace elemental analysis. The remaining subsamples (60%) are recombined and fractionated into 500–1,000 μm, 125–500 μm, and &amp;amp;lt;125 μm size fractions. For Hurricanes Fabian (25 Aug‐8Sep 2003) and Igor (13-28 Sep, 28 Sep - 12 Oct 2010) samples, the &amp;amp;lt;125 μm fraction was divided into additional size fractions to better characterize the hurricane sediment plumes. The 63-125 μm (&amp;quot;fine sand&amp;quot;) and 37-63 μm (&amp;quot;coarse silt&amp;quot;) fractions were separated using stainless‐steel sieves. The 4-37 μm (&amp;quot;medium‐fine silt&amp;quot;) fraction was concentrated by centrifuging 7 minutes at 1,000 rpm, and the supernatant containing the &amp;amp;lt;4 μm (&amp;quot;clay&amp;quot;) fraction was concentrated by centrifuging 10 minutes at 3,000 rpm (modified from Pedrosa‐Pàmies et al., 2013). We note that for these detrital carbonate sediments the standard nomenclature commonly used for these fractions is an operational definition only. The larger size fractions (&amp;amp;gt;125 μm) were quantitatively photographed (described below), dried at 55°C and weighed to the nearest 0.01 mg. &amp;amp;lt;125 μm size fraction was freeze‐dried and weighed. Mass flux was calculated from combined weights of all size fractions.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;lt;em&amp;gt;Carbonate analyses:&amp;lt;/em&amp;gt; Carbonate analyses were performed using a Coulometrics model 5011 coulometer (UIC Inc.) equipped with a System 140 module for inorganic carbon determination. Analytical uncertainty is &amp;amp;lt;1.8% based on repeated measurements of flux material working standards. Carbonate δ13C and δ18O were analyzed using a Finnigan MAT252 mass spectrometer following the procedure of Ostermann and Curry (2000). Analytical precision was ±0.04 for δ18O and ±0.05 for δ13C based on the reproducibility of the internal WHOI Atlantis II coral standard. Bulk and isotopic analyses are made on the &amp;amp;lt;125 μm size fraction and converted to total flux by assuming that the total mass composition approximates that of the &amp;amp;lt;125 μm fraction which comprises most of the mass. Analytical precision was ±0.04 for δ18O and ±0.05 for δ13C based on the reproducibility of the internal WHOI Atlantis II coral standard. Bulk and isotopic analyses are made on the &amp;amp;lt;125 μm size fraction and converted to total flux by assuming that the total mass composition approximates that of the &amp;amp;lt;125 μm fraction which comprises most of the mass.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;lt;em&amp;gt;Organic carbon analyses: &amp;lt;/em&amp;gt;Particulate organic carbon (POC) and nitrogen (N) concentrations and stable isotopic composition were analyzed using a Europa 20‐20 CF‐IRMS interfaced with the Europa ANCA‐SL elemental analyzer. Before analysis, carbonates were removed by pre‐treatment with 4% sulfurous acid using a modified Verardo et al. (1990) method. Analytical uncertainty is &amp;amp;lt;0.18% based on repeated measurements of flux material working standards.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;lt;em&amp;gt;Elemental analysis: &amp;lt;/em&amp;gt;Elemental analyses were made on the total &amp;amp;lt;1,000 μm material using a fusion‐Inductively Coupled Plasma Mass Spectrometry (ICPMS) method developed for multi‐elemental analysis of flux material (Huang et al., 2007). Briefly, the dried sample (4-6 mg) is fused with high purity lithium metaborate (LiBO2) flux at 1,000°C in a dedicated combustion furnace, using a sample to LiBO2 flux ratio of 1:2.5. The fused sample bead was dissolved in 1M HNO3 for ICPMS analysis. Samples were analyzed on a Finnigan Element 2 ICPMS at the Woods Hole Oceanographic ICPMS Facility. Lithogenic concentration was estimated from Si and Al concentrations, assuming that the Al flux was carried mainly by lithogenic particles whose composition approximates that of pelagic clay sediments (25% Si and 8.4% Al, Li and Schoonmaker, 2003): [Lithogenic] = [Al] /0.084. Biogenic Si was estimated by subtracting the lithogenic Si from the total Si and converted to opal assuming an opal opal water content of SiO2·0.4H2O (Mortlock &amp;amp;amp; Froelich, 1989). To assess analytical reproducibility and uncertainty over the analysis period and to allow for data intercalibration, we ran the certified standard PACS-2 (National Research Council of Canada) with each fusion group, and also periodically ran well-characterized working standards of OFP sediment trap material.&amp;amp;nbsp;&amp;lt;/p&amp;gt;</gco:CharacterString>
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            <gco:CharacterString>PI Supplied Instrument Name: Europa ANCA‐SL elemental analyzer PI Supplied Instrument Description:Organic carbon analyses: Europa 20‐20 CF‐IRMS interfaced with the Europa ANCA‐SL elemental analyzer. Instrument Name: PDZ Europa ANCA-GSL elemental analyzer Instrument Short Name:   Instrument Description: The ANCA-GSL module allows samples such as soil, viscous liquids, plant material, and organic compounds, to be analyzed directly by using Dumas combustion for 15N, 13C, and 34S or pyrolysis for 18O and D. It also allows isotope analysis of abundant gases from septum sealed containers. During combustion mode, a capsule containing the sample falls into the combustion tube and is converted in the presence of oxygen to CO2, N2, NOx, and H2O. An elemental copper stage reduces NOx, a MgClO4 trap removes water vapor, a switchable Carbosorb trap can be used to remove CO2 (for 15N only analyses) and a GC column separates CO2 from N2 (allowing dual isotope analysis). Modified packings, a Nafion dryer and different GC column allow 34S analysis. The sample preparation unit consists of a 66-place autosampler for unattended operation (larger options are available), 2 furnaces able to operate to 1100 deg C, and an on-board microprocessor. The analyzer is capable of dual isotope analysis of 15N and 13C. For CO (18O), H2 (2H), N2 (15N), CO2 (13C), CO2 (18O), and SO2 (34S) with precisions between 0.1 and 3 dependent on the element.</gco:CharacterString>
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              <gmd:code>
                <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/instrument/999231.rdf" xlink:title="sample dividers" xlink:actuate="onRequest">McLane rotary splitter (McLane Research Laboratories). The remaining,</gmx:Anchor>
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              <gmd:code>
                <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/instrument/518.rdf" xlink:title="Sediment Trap" xlink:actuate="onRequest">Parflux sediment traps (McLane Research Laboratories, Falmouth MA, USA)</gmx:Anchor>
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            <gco:CharacterString>Parflux sediment traps (McLane Research Laboratories, Falmouth MA, USA)</gco:CharacterString>
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                <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/instrument/957194.rdf" xlink:title="Thermo Fisher Scientific ELEMENT 2 inductively coupled plasma mass spectrometer" xlink:actuate="onRequest">Finnigan Element 2 ICPMS</gmx:Anchor>
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            <gco:CharacterString>PI Supplied Instrument Name: Finnigan Element 2 ICPMS PI Supplied Instrument Description:Elemental analysis: Finnigan Element 2 ICPMS. Instrument Name: Thermo Fisher Scientific ELEMENT 2 inductively coupled plasma mass spectrometer Instrument Short Name:Thermo Scientific Element 2 ICP-MS   Instrument Description: The Thermo Scientific Element 2 ICP-MS is a double-focussing magnetic-sector-field Inductively Coupled Plasma Mass Spectrometer equipped with a discrete dynode detector system, linear over nine orders of magnitude - from ppq to ppm concentrations. Other features include: Sensitivity (Concentric Nebuliser) greater than 1 x 10^9 counts per second (cps)/ppm ln; Dark noise less than 0.2 cps; Mass resolution 300, 4,000, 10,000 (10 percent valley, equivalent to 5 percent height), 600, 8,000, 2,000 (FWHM); Signal stability better than 1 percent RSD over 10 minutes or 2 percent RSD over 1 hour; Mass stability: 25 ppm / 8 hours; Magnetic scan speed: m/z 7 to 240 to 7 in less than 150 ms, Electronic scan speed: 1 ms/jump, independent of mass range.</gco:CharacterString>
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              <gmd:MD_ProgressCode codeList="https://data.noaa.gov/resources/iso19139/schema/resources/Codelist/gmxCodelists.xml#MD_ProgressCode" codeListValue="completed"/>
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              <gmi:MI_OperationTypeCode codeList="https://data.noaa.gov/resources/iso19139/schema/resources/Codelist/gmxCodelists.xml#MI_OperationTypeCode" codeListValue="real"/>
            </gmi:type>
            <gmi:parentOperation gco:nilReason="inapplicable"/>
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          <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/platform/704778.rdf"
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        </gmd:code>
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      <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/platform/704778.rdf" xlink:title="OFP_mooring" xlink:actuate="onRequest">mooring</gmx:Anchor>
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    <gmi:instrument gco:nilReason="unknown"/>
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              <gmi:MI_Plan>
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                  <gmd:MD_ProgressCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_ProgressCode" codeListValue="completed"/>
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                          <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/person/50678.rdf" xlink:actuate="onRequest">Maureen H. Conte</gmx:Anchor>
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                          <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/affiliation/219.rdf" xlink:title="Affiliation" xlink:actuate="onRequest">Marine Biological Laboratory</gmx:Anchor>
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                        <gmd:CI_RoleCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_RoleCode" codeListValue="principalInvestigator"/>
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            </gmi:plan>
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      <gmd:MD_Identifier>
        <gmd:code>
          <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/platform/704778.rdf"
           xlink:actuate="onRequest">OFP_mooring</gmx:Anchor>
        </gmd:code>
      </gmd:MD_Identifier>
    </gmi:identifier>
    <gmi:description>
      <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/platform/704778.rdf" xlink:title="OFP_mooring" xlink:actuate="onRequest">mooring</gmx:Anchor>
    </gmi:description>
    <gmi:instrument gco:nilReason="unknown"/>
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