http://lod.bco-dmo.org/id/dataset/986932 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 2025-10-14 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Particulate bulk and amino acid d15N values from EXPORTS cruises on RRS Discovery (DY131) and RRS James Cook (JC214) in May 2021 2026-01-28 publication 2026-01-28 revision Woods Hole Oceanographic Institution (WHOI BCO-DMO) 2026-02-04 publication https://doi.org/10.26008/1912/bco-dmo.986932.1 Hilary G. Close University of Miami Rosenstiel School of Marine and Atmospheric Science principalInvestigator Brian N. Popp University of Hawaiʻi at Mānoa 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: Yanuskiewicz, E. A., Close, H. G., Popp, B. N. (2026) Particulate bulk and amino acid d15N values from EXPORTS cruises on RRS Discovery (DY131) and RRS James Cook (JC214) in May 2021. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-01-28 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.986932.1 [access date] Particulate bulk and amino acid d15N - EXPORTS May 2021 Dataset Description: Methods and Sampling: &lt;p&gt;Particle sampling was conducted onboard RRS Discovery (size-fractionated particles) and James Cook (sinking particles) in the Northeast Atlantic (around 49°N, 15°W) during a declining spring phytoplankton bloom in May 2021 as part of the EXPORTS campaign. Particles were collected by in situ pump filtration using large volume pumps (WTS-LV; McLane Research Laboratories, Inc) outfitted with mini-MULVFS (Multiple Unit Large Volume in situ Filtration System) filter holders (Bishop et al., 2012). At 30 meters (m) and 340 m, sequentially stacked filters were loaded on pumps of 5 filter pore sizes: 0.3-1 micrometers (μm) particles (combusted GF75 glass fiber filters), 1-6 μm particles (combusted quartz fiber filters), 6-51 μm particles, 51-335 μm particles, and &amp;gt;335 μm particles (acid-washed Nitex mesh). At 20, 50, 75 or 95, 125 or 145, 175 or 195, 330, and 500 m, filter stacks of two filter pore sizes were loaded onto pumps: 0.8-51 μm particles (Supor polyethersulfone filters) and &amp;gt;51 μm particles (acid-washed polyester mesh). Filters containing particles were stored in combusted foil and kept frozen at -80 degrees Celsius (°C) until further processing on land. Large particles were resuspended off Nitex mesh filters using low-nutrient, 0.2 µm- filtered seawater, and subsequently collected onto 47-mm diameter combusted glass fiber filters, which were then re-frozen, and lyophilized. Lyophilized, large particles (≥6 µm) were examined under a dissecting microscope, and materials that should be excluded from the passively sinking POM pool were removed. Sinking particles were collected using sediment traps, either surface tethered sediment traps (STT) or neutrally buoyant sediment traps (NBST). Sinking particles were collected in polycarbonate tubes with a collection area of 0.0113 square meters (m²). Sinking particles were kept frozen at -80°C until further processing on land, then particles were lyophilized. Lyophilized particles were quantitatively split by weight for bulk isotope analysis and compound-specific isotope analysis of amino acids (CSIA-AA).&lt;/p&gt; &lt;p&gt;Bulk nitrogen concentrations and δ¹⁵N values were determined using standard methods in the Close Laboratory (University of Miami). Subsamples from filters for bulk nitrogen analysis were quantitatively split by weight and packed directly into tin capsules for elemental and isotopic composition.&lt;/p&gt; &lt;p&gt;CSIA-AA preparation was guided by methods of Hannides et al. (2013), Hannides et al. (2020), and Popp et al. (2007) and were identical to those of Wojtal et al. (2023). Samples were hydrolyzed using 6N HCl at 110°C for 20 hours, filtered using disc filters, purified using cation exchange resin (50W-X8, 100-200 mesh, 1 milliliter (mL) bed volume), eluting in 2N ammonium hydroxide, followed by reprotonation using 0.2N HCl at 110°C for 5 minutes, and derivatized to trifluoroacetyl/isopropyl esters in a two-step process (isopropyl esterification and trifluoroacetylation; Popp et al., 2007). Excess salts were removed after derivatization using liquid-liquid extraction (phosphate buffer/chloroform), and samples were put through a second acetylation before storage at -20°C prior to analysis. Immediately before analysis, sample aliquots were dried under N₂ gas and reconstituted in ethyl acetate. All glassware was acid washed (10% HCl) and combusted at 500°C overnight before use.&lt;/p&gt; &lt;p&gt;Bulk nitrogen concentrations and δ¹⁵N values were determined using a Costech Elemental Analyzer (EA) interfaced with a MAT 253 Plus Isotope Ratio Mass Spectrometer (IRMS) via a Conflo IV open split interface. The EA oxidation reactor was held at 980°C, the reduction reactor held at 650°C, and the oven housing the gas chromatography column was held at 65°C. CSIA-AA samples were analyzed using a Thermo Fisher Scientific Trace 1310 Gas Chromatograph (GC) coupled to a MAT 253 Plus IRMS via a Thermo Fisher GC Isolink II system with a combined oxidation/reduction reactor held at 1000 °C, a liquid nitrogen trap, and a Conflo IV open split interface.&lt;/p&gt; &lt;p&gt;δ¹⁵N values (‰ vs. AIR) were calculated by the Thermo Isodat 3.0 software, using reference nitrogen gas peaks. Instrument accuracy was determined by analyzing a mixture of amino acids of known δ¹⁵N values that was prepared alongside samples. Individual amino acid δ¹⁵N values were calculated as the average across replicates, if applicable. The 1σ uncertainty was calculated as the standard deviation across samples replicates, if no replicates were possible (low sample concentration) a 1‰ error was applied. Amino acid concentrations were determined from the IRMS peak area response of individual amino acid standards and the amount of sample injected.&lt;/p&gt; Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2124416 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2124416 Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2124415 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2124415 completed Hilary G. Close University of Miami Rosenstiel School of Marine and Atmospheric Science 305-421-4306 ext. 54306 46000 Rickenbacker Causeway Miami FL 33149 USA hclose@miami.edu pointOfContact Brian N. Popp University of Hawaiʻi at Mānoa 808-956-6206 Department of Earth Sciences 1680 East-West Road Honolulu HI 96822 USA popp@hawaii.edu pointOfContact asNeeded Dataset Version: 1 Unknown Cruise_sample_number Trap_ID Latitude Longitude Start_latitude End_latitude Start_longitude End_longitude MidPumping_DateTime_UTC Start_time_UTC End_time_UTC Date_local Time_local Start_date_local End_date_local Start_time_local End_time_local Depth Size_Fraction_Min Size_Fraction_Max Volume_Filtered d15N_Bulk d15N_Bulk_sd d15N_Ala d15N_Ala_sd d15N_Gly d15N_Gly_sd d15N_Thr d15N_Thr_sd d15N_Ser d15N_Ser_sd d15N_Val d15N_Val_sd d15N_Leu d15N_Leu_sd d15N_Iso d15N_Iso_sd d15N_Pro d15N_Pro_sd d15N_Asx d15N_Asx_sd d15N_Met d15N_Met_sd d15N_Glx d15N_Glx_sd d15N_Phe d15N_Phe_sd d15N_Tyr d15N_Tyr_sd d15N_Lys d15N_Lys_sd d15N_THAA d15N_THAA_sd Bulk_N_concentration Total_AA_N_concentration Flux_AA Conflo IV open split interface Costech Elemental Analyzer Thermo Fisher Scientific Trace 1310 Gas Chromatograph (GC) MAT 253 Plus Isotope Ratio Mass Spectrometer (IRMS) large volume pumps (WTS-LV) dissecting microscope mini-MULVFS neutrally buoyant sediment traps (NBST) surface tethered sediment traps (STT) theme None, User defined Cruise identfier sample identification latitude longitude latitude at start time of measurement latitude at end time of measurement longitude at start time of measurement longitude at end time of measurement ISO_DateTime_UTC time begin time_end date_local time_local date_start date end depth sample fraction (includes size fractions) volume of water filtered d15N Total Particulate Nitrogen amino acid concentration amino acid flux featureType BCO-DMO Standard Parameters Continuous Flow Interface for Mass Spectrometers Elemental Analyzer Gas Chromatograph Isotope-ratio Mass Spectrometer McLane Large Volume Pumping System WTS-LV Microscope - Optical Multiple Unit Large Volume Filtration System Neutrally Buoyant Sediment Trap Sediment Trap instrument BCO-DMO Standard Instruments JC214 DY131 service Deployment Activity Porcupine Abyssal Plain North Atlantic, approximately 49˚N, 16.5˚W Celtic Sea 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. EXport Processes in the Ocean from Remote Sensing http://oceanexports.org/ EXport Processes in the Ocean from Remote Sensing EXport Processes in the Ocean from Remote Sensing (EXPORTS) is a large-scale NASA-led field campaign that will provide critical information for quantifying the export and fate of upper ocean net primary production (NPP) using satellite observations and state of the art ocean technologies. Ocean ecosystems play a critical role in the Earth’s carbon cycle and the quantification of their impacts for both present conditions and for predictions into the future remains one of the greatest challenges in oceanography. The goal of the EXport Processes in the Ocean from Remote Sensing (EXPORTS) Science Plan is to develop a predictive understanding of the export and fate of global ocean net primary production (NPP) and its implications for present and future climates. The achievement of this goal requires a quantification of the mechanisms that control the export of carbon from the euphotic zone as well as its fate in the underlying "twilight zone" where some fraction of exported carbon will be sequestered in the ocean’s interior on time scales of months to millennia. In particular, EXPORTS will advance satellite diagnostic and numerical prognostic models by comparing relationships among the ecological, biogeochemical and physical oceanographic processes that control carbon cycling across a range of ecosystem and carbon cycling states. EXPORTS will achieve this through a combination of ship and robotic field sampling, satellite remote sensing and numerical modeling. Through a coordinated, process-oriented approach, EXPORTS will foster new insights on ocean carbon cycling that maximizes its societal relevance through the achievement of U.S. and International research agency goals and will be a key step towards our understanding of the Earth as an integrated system. EXPORTS largerWorkCitation program Collaborative Research: Isotopic Indicators for Mechanisms of Organic Matter Degradation under High Productivity and High Carbon Flux Conditions (EXPORTS) https://osprey.bco-dmo.org/project/875566 Collaborative Research: Isotopic Indicators for Mechanisms of Organic Matter Degradation under High Productivity and High Carbon Flux Conditions (EXPORTS) <p><em>NSF Award Abstract:</em><br /> The downward settling of organic material transports carbon out of the ocean surface, as part of a process called the biological pump. However, only a small fraction of organic material produced by organisms in surface waters makes it to the deep ocean. The rest can be fragmented or consumed (respired) by bacteria or larger organisms; the role of each process remains in question. Guided by recent results from the Pacific Ocean, the investigators will use the stable isotopes of carbon and nitrogen in amino acids to identify the input of fresh algal material, zooplankton feces, and bacteria to the biological pump in the North Atlantic spring bloom. With data from contrasting locations, the investigators will test and develop their isotopic models so they can be used to help predict global patterns in carbon transport. The work will be part of a large oceanographic field program (NASA EXPORTS). The tremendous amount of data collected in this program will aid the development and interpretation of the isotopic models. To share results broadly, the investigators will produce and distribute several episodes of Voice of the Sea, a local television program that will air in Hawaii and the Pacific islands. Episodes will be posted online and publicized through social media to the south Florida community. The project will support a Ph.D. student and an undergraduate student at University of Miami, which serves a 25% Hispanic population, and a Ph.D. student and an undergraduate student at University of Hawaii, a designated minority-serving institution.</p> <p>The proposed work will assess the relative importance of packaging organic matter in fecal material, particle disaggregation, microbial reworking, and zooplankton dietary usage on vertical patterns of particle flux across contrasting oceanic provinces, using empirical methods independent of incubation techniques or metabolic rate measurements. From their existing work in relatively low-flux environments of the Pacific Ocean, the investigators have developed two nascent models: (1) a mixing model that uses the compound-specific isotope analysis of amino acids (AA-CSIA) to estimate the phytodetritus, fecal pellet, and microbially degraded composition of particles, such that the vertical alteration mechanisms and size distribution of these materials can be detected; and (2) an inverse relationship between carbon flux into the deep ocean and the reliance of mesopelagic food webs on small, degraded particles. In this project, the investigators will test these two models by applying the same methods to the recent NASA EXPORTS field study in a high productivity, high flux regime, the North Atlantic spring bloom. The first EXPORTS field study in the subarctic Pacific provided some of the materials from which the models were developed. Application and refinement of the investigators’ newly developed isotopic indicators will enable development of a globally generalized isotopic framework for assessing the degradative history of particulate organic matter and its relationship to mesopelagic dietary resources, including small, microbially degraded particles that are often not accounted for as a metazoan dietary resource. This work capitalizes on existing, comprehensive field programs specifically focused on building a predictive framework relating surface ocean properties to the vertical flux of organic carbon. The proposed work directly addresses EXPORTS Science Question 2: What controls the efficiency of vertical transfer of organic matter below the well-lit surface ocean? The results of this work additionally will provide observational comparisons to global models of carbon flux composition and pelagic food web resources.</p> <p>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</p> EXPORTS OM Degradation Indicators largerWorkCitation project eng; USA oceans Porcupine Abyssal Plain North Atlantic, approximately 49˚N, 16.5˚W; Celtic Sea -14.9 -14.6 48.7885 49.1384 2021-05-12 2021-05-27 North Atlantic approximately 49N, 16.5W 0 BCO-DMO catalogue of parameters from Particulate bulk and amino acid d15N values from EXPORTS cruises on RRS Discovery (DY131) and RRS James Cook (JC214) in May 2021 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/993144.rdf Name: Cruise_sample_number Units: unitless Description: <p>Sample number given to each filter</p> http://lod.bco-dmo.org/id/dataset-parameter/993145.rdf Name: Trap_ID Units: unitless Description: <p>Sample number given to each filter from sediment traps</p> http://lod.bco-dmo.org/id/dataset-parameter/993146.rdf Name: Latitude Units: decimal degrees Description: <p>Latitude in decimal degrees (postive values = North)</p> http://lod.bco-dmo.org/id/dataset-parameter/993147.rdf Name: Longitude Units: decimal degrees Description: <p>Longitude in decimal degrees (negative values = West)</p> http://lod.bco-dmo.org/id/dataset-parameter/993148.rdf Name: Start_latitude Units: decimal degrees Description: <p>latitude at the time of sediment trap deployment in decimal degrees (postive values = North)</p> http://lod.bco-dmo.org/id/dataset-parameter/993149.rdf Name: End_latitude Units: decimal degrees Description: <p>latitude at the time of sediment trap recovery in decimal degrees (postive values = North)</p> http://lod.bco-dmo.org/id/dataset-parameter/993150.rdf Name: Start_longitude Units: decimal degrees Description: <p>longitude at the time of sediment trap deployment in decimal degrees (negative values = West)</p> http://lod.bco-dmo.org/id/dataset-parameter/993151.rdf Name: End_longitude Units: decimal degrees Description: <p>longitude at the time of sediment trap recovery in decimal degrees (negative values = West)</p> http://lod.bco-dmo.org/id/dataset-parameter/993152.rdf Name: MidPumping_DateTime_UTC Units: unitless Description: <p>date and time (UTC) of the mid point of sampling for particles collected via in situ filtration in ISO 8601 format</p> http://lod.bco-dmo.org/id/dataset-parameter/993153.rdf Name: Start_time_UTC Units: unitless Description: <p>date and time (UTC) at the sediment trap deployment in ISO 8601 format</p> http://lod.bco-dmo.org/id/dataset-parameter/993154.rdf Name: End_time_UTC Units: unitless Description: <p>date and time (UTC) at the sediment trap recovery in ISO 8601 format</p> http://lod.bco-dmo.org/id/dataset-parameter/993155.rdf Name: Date_local Units: unitless Description: <p>local date of in situ filtration (Cape Verde Time, -01:00 from UTC)</p> http://lod.bco-dmo.org/id/dataset-parameter/993156.rdf Name: Time_local Units: unitless Description: <p>local time of mid-point in situ filtration (Cape Verde Time, -01:00 from UTC)</p> http://lod.bco-dmo.org/id/dataset-parameter/993157.rdf Name: Start_date_local Units: unitless Description: <p>local date of sediment trap deployment (Cape Verde Time, -01:00 from UTC)</p> http://lod.bco-dmo.org/id/dataset-parameter/993158.rdf Name: End_date_local Units: unitless Description: <p>local date of sediment trap recovery (Cape Verde Time, -01:00 from UTC)</p> http://lod.bco-dmo.org/id/dataset-parameter/993159.rdf Name: Start_time_local Units: unitless Description: <p>local time of sediment trap deployment (Cape Verde Time, -01:00 from UTC)</p> http://lod.bco-dmo.org/id/dataset-parameter/993160.rdf Name: End_time_local Units: unitless Description: <p>local time of sediment trap recovery (Cape Verde Time, -01:00 from UTC)</p> http://lod.bco-dmo.org/id/dataset-parameter/993161.rdf Name: Depth Units: meters (m) Description: <p>depth at which pump filter or sediment trap collected particles</p> http://lod.bco-dmo.org/id/dataset-parameter/993162.rdf Name: Size_Fraction_Min Units: micrometers (µm) Description: <p>minimum size fraction captured on filter</p> http://lod.bco-dmo.org/id/dataset-parameter/993163.rdf Name: Size_Fraction_Max Units: micrometers (µm) Description: <p>maximum size fraction captured on filter</p> http://lod.bco-dmo.org/id/dataset-parameter/993164.rdf Name: Volume_Filtered Units: liters (L) Description: <p>volume of water filtered through filters</p> http://lod.bco-dmo.org/id/dataset-parameter/993165.rdf Name: d15N_Bulk Units: permil relative to AIR (‰) Description: <p>isotopic composition of particulate nitrogen in the sample</p> http://lod.bco-dmo.org/id/dataset-parameter/993166.rdf Name: d15N_Bulk_sd Units: permil relative to AIR (‰) Description: <p>standard deviation of the isotopic composition of particulate nitrogen in the sample</p> http://lod.bco-dmo.org/id/dataset-parameter/993167.rdf Name: d15N_Ala Units: permil relative to AIR (‰) Description: <p>nitrogen isotopic composition of alanine</p> http://lod.bco-dmo.org/id/dataset-parameter/993168.rdf Name: d15N_Ala_sd Units: permil relative to AIR (‰) Description: <p>standard deviation of alanine</p> http://lod.bco-dmo.org/id/dataset-parameter/993169.rdf Name: d15N_Gly Units: permil relative to AIR (‰) Description: <p>nitrogen isotopic composition of glycine</p> http://lod.bco-dmo.org/id/dataset-parameter/993170.rdf Name: d15N_Gly_sd Units: permil relative to AIR (‰) Description: <p>standard deviation of glycine</p> http://lod.bco-dmo.org/id/dataset-parameter/993171.rdf Name: d15N_Thr Units: permil relative to AIR (‰) Description: <p>nitrogen isotopic composition of threonine</p> http://lod.bco-dmo.org/id/dataset-parameter/993172.rdf Name: d15N_Thr_sd Units: permil relative to AIR (‰) Description: <p>standard deviation of threonine</p> http://lod.bco-dmo.org/id/dataset-parameter/993173.rdf Name: d15N_Ser Units: permil relative to AIR (‰) Description: <p>nitrogen isotopic composition of serine</p> http://lod.bco-dmo.org/id/dataset-parameter/993174.rdf Name: d15N_Ser_sd Units: permil relative to AIR (‰) Description: <p>standard deviation of serine</p> http://lod.bco-dmo.org/id/dataset-parameter/993175.rdf Name: d15N_Val Units: permil relative to AIR (‰) Description: <p>nitrogen isotopic composition of valine</p> http://lod.bco-dmo.org/id/dataset-parameter/993176.rdf Name: d15N_Val_sd Units: permil relative to AIR (‰) Description: <p>standard deviation of valine</p> http://lod.bco-dmo.org/id/dataset-parameter/993177.rdf Name: d15N_Leu Units: permil relative to AIR (‰) Description: <p>nitrogen isotopic composition of leucine</p> http://lod.bco-dmo.org/id/dataset-parameter/993178.rdf Name: d15N_Leu_sd Units: permil relative to AIR (‰) Description: <p>standard deviation of leucine</p> http://lod.bco-dmo.org/id/dataset-parameter/993179.rdf Name: d15N_Iso Units: permil relative to AIR (‰) Description: <p>nitrogen isotopic composition of isoleucine</p> http://lod.bco-dmo.org/id/dataset-parameter/993180.rdf Name: d15N_Iso_sd Units: permil relative to AIR (‰) Description: <p>standard deviation of isoleucine</p> http://lod.bco-dmo.org/id/dataset-parameter/993181.rdf Name: d15N_Pro Units: permil relative to AIR (‰) Description: <p>nitrogen isotopic composition of proline</p> http://lod.bco-dmo.org/id/dataset-parameter/993182.rdf Name: d15N_Pro_sd Units: permil relative to AIR (‰) Description: <p>standard deviation of proline</p> http://lod.bco-dmo.org/id/dataset-parameter/993183.rdf Name: d15N_Asx Units: permil relative to AIR (‰) Description: <p>nitrogen isotopic composition of aspartic acid</p> http://lod.bco-dmo.org/id/dataset-parameter/993184.rdf Name: d15N_Asx_sd Units: permil relative to AIR (‰) Description: <p>standard deviation of aspartic acid</p> http://lod.bco-dmo.org/id/dataset-parameter/993185.rdf Name: d15N_Met Units: permil relative to AIR (‰) Description: <p>nitrogen isotopic composition of methionine</p> http://lod.bco-dmo.org/id/dataset-parameter/993186.rdf Name: d15N_Met_sd Units: permil relative to AIR (‰) Description: <p>standard deviation of methionine</p> http://lod.bco-dmo.org/id/dataset-parameter/993187.rdf Name: d15N_Glx Units: permil relative to AIR (‰) Description: <p>nitrogen isotopic composition of glutamic acid</p> http://lod.bco-dmo.org/id/dataset-parameter/993188.rdf Name: d15N_Glx_sd Units: permil relative to AIR (‰) Description: <p>standard deviation of glutamic acid</p> http://lod.bco-dmo.org/id/dataset-parameter/993189.rdf Name: d15N_Phe Units: permil relative to AIR (‰) Description: <p>nitrogen isotopic composition of phenylalanine</p> http://lod.bco-dmo.org/id/dataset-parameter/993190.rdf Name: d15N_Phe_sd Units: permil relative to AIR (‰) Description: <p>standard deviation of phenylalanine</p> http://lod.bco-dmo.org/id/dataset-parameter/993191.rdf Name: d15N_Tyr Units: permil relative to AIR (‰) Description: <p>nitrogen isotopic composition of tyrosine</p> http://lod.bco-dmo.org/id/dataset-parameter/993192.rdf Name: d15N_Tyr_sd Units: permil relative to AIR (‰) Description: <p>standard deviation of tyrosine</p> http://lod.bco-dmo.org/id/dataset-parameter/993193.rdf Name: d15N_Lys Units: permil relative to AIR (‰) Description: <p>nitrogen isotopic composition of lysine</p> http://lod.bco-dmo.org/id/dataset-parameter/993194.rdf Name: d15N_Lys_sd Units: permil relative to AIR (‰) Description: <p>standard deviation of lysine</p> http://lod.bco-dmo.org/id/dataset-parameter/993195.rdf Name: d15N_THAA Units: permil relative to AIR (‰) Description: <p>isotopic composition of the molar weighted sum of measured amino acids</p> http://lod.bco-dmo.org/id/dataset-parameter/993196.rdf Name: d15N_THAA_sd Units: permil relative to AIR (‰) Description: <p>standard deviation of the molar weighted sum of measured amino acids</p> http://lod.bco-dmo.org/id/dataset-parameter/993197.rdf Name: Bulk_N_concentration Units: micromoles per liter (µmol/L) Description: <p>the concentration of particulate nitrogen in the sample</p> http://lod.bco-dmo.org/id/dataset-parameter/993198.rdf Name: Total_AA_N_concentration Units: nanomoles per liter (nM) Description: <p>the sum of all amino acids measured in a sample collected by in situ filtration</p> http://lod.bco-dmo.org/id/dataset-parameter/993199.rdf Name: Flux_AA Units: micromoles per square meter per day (µmol/m2/d) Description: <p>the sum of all amino acids in sinking particle samples collected with sediment traps</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 https://doi.org/10.26008/1912/bco-dmo.986932.1 download onLine dataset &lt;p&gt;Particle sampling was conducted onboard RRS Discovery (size-fractionated particles) and James Cook (sinking particles) in the Northeast Atlantic (around 49°N, 15°W) during a declining spring phytoplankton bloom in May 2021 as part of the EXPORTS campaign. Particles were collected by in situ pump filtration using large volume pumps (WTS-LV; McLane Research Laboratories, Inc) outfitted with mini-MULVFS (Multiple Unit Large Volume in situ Filtration System) filter holders (Bishop et al., 2012). At 30 meters (m) and 340 m, sequentially stacked filters were loaded on pumps of 5 filter pore sizes: 0.3-1 micrometers (μm) particles (combusted GF75 glass fiber filters), 1-6 μm particles (combusted quartz fiber filters), 6-51 μm particles, 51-335 μm particles, and &amp;gt;335 μm particles (acid-washed Nitex mesh). At 20, 50, 75 or 95, 125 or 145, 175 or 195, 330, and 500 m, filter stacks of two filter pore sizes were loaded onto pumps: 0.8-51 μm particles (Supor polyethersulfone filters) and &amp;gt;51 μm particles (acid-washed polyester mesh). Filters containing particles were stored in combusted foil and kept frozen at -80 degrees Celsius (°C) until further processing on land. Large particles were resuspended off Nitex mesh filters using low-nutrient, 0.2 µm- filtered seawater, and subsequently collected onto 47-mm diameter combusted glass fiber filters, which were then re-frozen, and lyophilized. Lyophilized, large particles (≥6 µm) were examined under a dissecting microscope, and materials that should be excluded from the passively sinking POM pool were removed. Sinking particles were collected using sediment traps, either surface tethered sediment traps (STT) or neutrally buoyant sediment traps (NBST). Sinking particles were collected in polycarbonate tubes with a collection area of 0.0113 square meters (m²). Sinking particles were kept frozen at -80°C until further processing on land, then particles were lyophilized. Lyophilized particles were quantitatively split by weight for bulk isotope analysis and compound-specific isotope analysis of amino acids (CSIA-AA).&lt;/p&gt; &lt;p&gt;Bulk nitrogen concentrations and δ¹⁵N values were determined using standard methods in the Close Laboratory (University of Miami). Subsamples from filters for bulk nitrogen analysis were quantitatively split by weight and packed directly into tin capsules for elemental and isotopic composition.&lt;/p&gt; &lt;p&gt;CSIA-AA preparation was guided by methods of Hannides et al. (2013), Hannides et al. (2020), and Popp et al. (2007) and were identical to those of Wojtal et al. (2023). Samples were hydrolyzed using 6N HCl at 110°C for 20 hours, filtered using disc filters, purified using cation exchange resin (50W-X8, 100-200 mesh, 1 milliliter (mL) bed volume), eluting in 2N ammonium hydroxide, followed by reprotonation using 0.2N HCl at 110°C for 5 minutes, and derivatized to trifluoroacetyl/isopropyl esters in a two-step process (isopropyl esterification and trifluoroacetylation; Popp et al., 2007). Excess salts were removed after derivatization using liquid-liquid extraction (phosphate buffer/chloroform), and samples were put through a second acetylation before storage at -20°C prior to analysis. Immediately before analysis, sample aliquots were dried under N₂ gas and reconstituted in ethyl acetate. All glassware was acid washed (10% HCl) and combusted at 500°C overnight before use.&lt;/p&gt; &lt;p&gt;Bulk nitrogen concentrations and δ¹⁵N values were determined using a Costech Elemental Analyzer (EA) interfaced with a MAT 253 Plus Isotope Ratio Mass Spectrometer (IRMS) via a Conflo IV open split interface. The EA oxidation reactor was held at 980°C, the reduction reactor held at 650°C, and the oven housing the gas chromatography column was held at 65°C. CSIA-AA samples were analyzed using a Thermo Fisher Scientific Trace 1310 Gas Chromatograph (GC) coupled to a MAT 253 Plus IRMS via a Thermo Fisher GC Isolink II system with a combined oxidation/reduction reactor held at 1000 °C, a liquid nitrogen trap, and a Conflo IV open split interface.&lt;/p&gt; &lt;p&gt;δ¹⁵N values (‰ vs. AIR) were calculated by the Thermo Isodat 3.0 software, using reference nitrogen gas peaks. Instrument accuracy was determined by analyzing a mixture of amino acids of known δ¹⁵N values that was prepared alongside samples. Individual amino acid δ¹⁵N values were calculated as the average across replicates, if applicable. The 1σ uncertainty was calculated as the standard deviation across samples replicates, if no replicates were possible (low sample concentration) a 1‰ error was applied. Amino acid concentrations were determined from the IRMS peak area response of individual amino acid standards and the amount of sample injected.&lt;/p&gt; Specified by the Principal Investigator(s) &lt;p&gt;Data were processed through Thermo Fisher Isodat 3.0 and Microsoft Excel.&amp;nbsp;&lt;/p&gt; Specified by the Principal Investigator(s) - Imported original file &quot;particulate_bulk_AA_d15N.csv&quot; into the BCO-DMO system. - Flagged &quot;nd&quot; as a missing data value (missing data are empty/blank in the final CSV file). - Created separate columns for the standard deviation values. - Converted all date fields to ISO 8601 format or YYYY-MM-DD. - Saved the final file as &quot;986932_v1_exports_particulate_bulk_aa_d15n.csv&quot;. Specified by BCO-DMO Data Managers 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 Conflo IV open split interface Conflo IV open split interface PI Supplied Instrument Name: Conflo IV open split interface PI Supplied Instrument Description:Bulk nitrogen concentrations and δ15N values were determined using a Costech Elemental Analyzer (EA) interfaced with a MAT 253 Plus Isotope Ratio Mass Spectrometer (IRMS) via a Conflo IV open split interface. CSIA-AA samples were analyzed using a Thermo Fisher Scientific Trace 1310 Gas Chromatograph (GC) coupled to a MAT 253 Plus IRMS via a Thermo Fisher GC Isolink II system with a combined oxidation/reduction reactor held at 1000 °C, a liquid nitrogen trap, and a Conflo IV open split interface. Instrument Name: Continuous Flow Interface for Mass Spectrometers Instrument Short Name: Instrument Description: A Continuous Flow Interface connects solid and liquid sample preparation devices to instruments that measure isotopic composition. It allows the introduction of the sample and also reference and carrier gases. Examples: Finnigan MATConFlo II, ThermoScientific ConFlo IV, and Picarro Caddy. Note: This is NOT an analyzer Costech Elemental Analyzer Costech Elemental Analyzer PI Supplied Instrument Name: Costech Elemental Analyzer PI Supplied Instrument Description:Bulk nitrogen concentrations and δ15N values were determined using a Costech Elemental Analyzer (EA) interfaced with a MAT 253 Plus Isotope Ratio Mass Spectrometer (IRMS) via a Conflo IV open split interface. Instrument Name: Elemental Analyzer Instrument Short Name: Instrument Description: Instruments that quantify carbon, nitrogen and sometimes other elements by combusting the sample at very high temperature and assaying the resulting gaseous oxides. Usually used for samples including organic material. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB01/ Thermo Fisher Scientific Trace 1310 Gas Chromatograph (GC) Thermo Fisher Scientific Trace 1310 Gas Chromatograph (GC) PI Supplied Instrument Name: Thermo Fisher Scientific Trace 1310 Gas Chromatograph (GC) PI Supplied Instrument Description:CSIA-AA samples were analyzed using a Thermo Fisher Scientific Trace 1310 Gas Chromatograph (GC) coupled to a MAT 253 Plus IRMS via a Thermo Fisher GC Isolink II system with a combined oxidation/reduction reactor held at 1000 °C, a liquid nitrogen trap, and a Conflo IV open split interface. Instrument Name: Gas Chromatograph Instrument Short Name:Gas Chromatograph Instrument Description: Instrument separating gases, volatile substances, or substances dissolved in a volatile solvent by transporting an inert gas through a column packed with a sorbent to a detector for assay. (from SeaDataNet, BODC) Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB02/ MAT 253 Plus Isotope Ratio Mass Spectrometer (IRMS) MAT 253 Plus Isotope Ratio Mass Spectrometer (IRMS) PI Supplied Instrument Name: MAT 253 Plus Isotope Ratio Mass Spectrometer (IRMS) PI Supplied Instrument Description:Bulk nitrogen concentrations and δ15N values were determined using a Costech Elemental Analyzer (EA) interfaced with a MAT 253 Plus Isotope Ratio Mass Spectrometer (IRMS) via a Conflo IV open split interface. CSIA-AA samples were analyzed using a Thermo Fisher Scientific Trace 1310 Gas Chromatograph (GC) coupled to a MAT 253 Plus IRMS via a Thermo Fisher GC Isolink II system with a combined oxidation/reduction reactor held at 1000 °C, a liquid nitrogen trap, and a Conflo IV open split interface. Instrument Name: Isotope-ratio Mass Spectrometer Instrument Short Name:IR Mass Spec; IRMS Instrument Description: The Isotope-ratio Mass Spectrometer is a particular type of mass spectrometer used to measure the relative abundance of isotopes in a given sample (e.g. VG Prism II Isotope Ratio Mass-Spectrometer). Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB16/ large volume pumps (WTS-LV) large volume pumps (WTS-LV) PI Supplied Instrument Name: large volume pumps (WTS-LV) PI Supplied Instrument Description:Particles were collected by in situ pump filtration using large volume pumps (WTS-LV; McLane Research Laboratories, Inc) outfitted with mini-MULVFS (Multiple Unit Large Volume in situ Filtration System) filter holders. Instrument Name: McLane Large Volume Pumping System WTS-LV Instrument Short Name:WTS-LV Instrument Description: The WTS-LV is a Water Transfer System (WTS) Large Volume (LV) pumping instrument designed and manufactured by McLane Research Labs (Falmouth, MA, USA). It is a large-volume, single-event sampler that collects suspended and dissolved particulate samples in situ. Ambient water is drawn through a modular filter holder onto a 142-millimeter (mm) membrane without passing through the pump. The standard two-tier filter holder provides prefiltering and size fractioning. Collection targets include chlorophyll maximum, particulate trace metals, and phytoplankton. It features different flow rates and filter porosity to support a range of specimen collection. Sampling can be programmed to start at a scheduled time or begin with a countdown delay. It also features a dynamic pump speed algorithm that adjusts flow to protect the sample as material accumulates on the filter. Several pump options range from 0.5 to 30 liters per minute, with a max volume of 2,500 to 36,000 liters depending on the pump and battery pack used. The standard model is depth rated to 5,500 meters, with a deeper 7,000-meter option available. The operating temperature is -4 to 35 degrees Celsius. The WTS-LV is available in four different configurations: Standard, Upright, Bore Hole, and Dual Filter Sampler. The high-capacity upright WTS-LV model provides three times the battery life of the standard model. The Bore-Hole WTS-LV is designed to fit through a narrow opening such as a 30-centimeter borehole. The dual filter WTS-LV features two vertical intake 142 mm filter holders to allow simultaneous filtering using two different porosities. dissecting microscope dissecting microscope PI Supplied Instrument Name: dissecting microscope PI Supplied Instrument Description:Lyophilized, large particles (≥6 µm) were examined under a dissecting microscope, and materials that should be excluded from the passively sinking POM pool were removed. Instrument Name: Microscope - Optical Instrument Short Name: Instrument Description: Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of visible light. Includes conventional and inverted instruments. Also called a "light microscope". Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB05/ mini-MULVFS mini-MULVFS PI Supplied Instrument Name: mini-MULVFS PI Supplied Instrument Description:Particles were collected by in situ pump filtration using large volume pumps (WTS-LV; McLane Research Laboratories, Inc) outfitted with mini-MULVFS (Multiple Unit Large Volume in situ Filtration System) filter holders. Instrument Name: Multiple Unit Large Volume Filtration System Instrument Short Name:MULVFS Instrument Description: The Multiple Unit Large Volume Filtration System (MULVFS) was first described in Bishop et al., 1985 (doi: 10.1021/ba-1985-0209.ch009). The MULVFS consists of multiple (commonly 12) specialized particulate matter pumps, mounted in a frame and tethered to the ship by a cable (Bishop et al., 1985; Bishop and Wood, 2008). The MULVFS filters particulates from large volumes of seawater, although the exact protocols followed will vary for each project. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/32/ neutrally buoyant sediment traps (NBST) neutrally buoyant sediment traps (NBST) PI Supplied Instrument Name: neutrally buoyant sediment traps (NBST) PI Supplied Instrument Description:Sinking particles were collected using sediment traps, either surface tethered sediment traps (STT) or neutrally buoyant sediment traps (NBST). Instrument Name: Neutrally Buoyant Sediment Trap Instrument Short Name:NBST Instrument Description: In general, sediment traps are specially designed containers deployed in the water column for periods of time to collect particles from the water column falling toward the sea floor. The Neutrally Buoyant Sediment Trap (NBST) was designed by researchers at Woods Hole Oceanographic Institution. The central cylinder of the NBST controls buoyancy and houses a satellite transmitter. The other tubes collect sediment as the trap drifts in currents at a predetermined depth. The samples are collected when the tubes snap shut before the trap returns to the surface. (more: http://www.whoi.edu/instruments/viewInstrument.do?id=10286) Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/33/ surface tethered sediment traps (STT) surface tethered sediment traps (STT) PI Supplied Instrument Name: surface tethered sediment traps (STT) PI Supplied Instrument Description:Sinking particles were collected using sediment traps, either surface tethered sediment traps (STT) or neutrally buoyant sediment traps (NBST). Instrument Name: Sediment Trap Instrument Short Name:Sediment Trap Instrument Description: Sediment traps are specially designed containers deployed in the water column for periods of time to collect particles from the water column falling toward the sea floor. In general a sediment trap has a jar at the bottom to collect the sample and a broad funnel-shaped opening at the top with baffles to keep out very large objects and help prevent the funnel from clogging. This designation is used when the specific type of sediment trap was not specified by the contributing investigator. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/33/ Cruise: JC214 JC214 RRS James Cook Community Standard Description International Council for the Exploration of the Sea RRS James Cook vessel JC214 Jason Graff Oregon State University Cruise: DY131 DY131 Community Standard Description International Council for the Exploration of the Sea RRS Discovery vessel DY131 Craig M. Lee University of Washington https://www.bodc.ac.uk/resources/inventories/cruise_inventory/reports/dy131.pdf Report describing DY131 RRS James Cook Community Standard Description International Council for the Exploration of the Sea RRS James Cook vessel Community Standard Description International Council for the Exploration of the Sea RRS Discovery vessel