http://lod.bco-dmo.org/id/dataset/991360 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 2026-01-14 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Phytoplankton exometabolite concentrations from laboratory cultures of Crocosphaera watsonii, Micromonas commoda, Prochlorococcus marinus, Synechococcus, Gephyrocapsa huxleyi, and Thalassiosira pseudonana collected from September to December 2022 2026-01-14 publication 2026-01-14 revision Woods Hole Oceanographic Institution (WHOI BCO-DMO) 2026-03-02 publication https://doi.org/10.26008/1912/bco-dmo.991360.1 Rogier Braakman Massachusetts Institute of Technology principalInvestigator Sonya T. Dyhrman Lamont-Doherty Earth Observatory principalInvestigator Elizabeth Kujawinski Woods Hole Oceanographic Institution principalInvestigator Yuting Zhu Woods Hole Oceanographic Institution principalInvestigator Biological and Chemical Oceanography Data Management Office (BCO-DMO) Unavailable 508-289-2009 WHOI MS#36 Woods Hole MA 02543 USA info@bco-dmo.org http://www.bco-dmo.org Monday - Friday 8:00am - 5:00pm For questions regarding this resource, please contact BCO-DMO via the email address provided. publisher Cite this dataset as: Zhu, Y., Anderson, H., Kujawinski, E., Dyhrman, S. T., Braakman, R., Gray, L. (2026) Phytoplankton exometabolite concentrations from laboratory cultures of Crocosphaera watsonii, Micromonas commoda, Prochlorococcus marinus, Synechococcus, Gephyrocapsa huxleyi, and Thalassiosira pseudonana collected from September to December 2022. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-01-14 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.991360.1 [access date] PXM1 - Exometabolite concentration data Dataset Description: Methods and Sampling: &lt;p&gt;Standards, filtrate samples, and media blanks were derivatized with benzoyl chloride (BC) (Widner et al., 2021). The derivatization and sample preparation protocols together with pictures and video clips are available online (&lt;a href=&quot;https://www.protocols.io/workspaces/kujawinski-lab&quot; target=&quot;_blank&quot;&gt;https://www.protocols.io/workspaces/kujawinski-lab&lt;/a&gt;). Briefly, each 5-milliliter (mL) sample was basified with 150 microliters (µL) of 8 M NaOH, derivatized with 1 mL BC working solution for 5 minutes, and then acidified with 75 µL phosphoric acid. The BC working solution was prepared by mixing 95 mL acetone (Optima, ACROS Organics) with 5 mL BC (99%, ACROS Organics) and was used within 36 hours after preparation. Two sets of stable isotopically labeled internal standards (SIL-IS) were prepared by derivatizing standard mixes of metabolites in seawater (aged, 0.1-µm filtered seawater collected from offshore Caribbean Sea) using BC working reagent prepared with &lt;sup&gt;13&lt;/sup&gt;C&lt;sub&gt;6&lt;/sub&gt;-BC (99% &lt;sup&gt;13&lt;/sup&gt;C, Sigma-Aldrich) or D&lt;sub&gt;5&lt;/sub&gt;-BC (99% D, Cambridge Isotope Laboratories, Inc.), respectively. SIL-IS were derivatized following the same protocol as the samples.&lt;/p&gt; &lt;p&gt;Each derivatized standard, filtrate, or media blank was spiked with 498 pg addition of &lt;sup&gt;13&lt;/sup&gt;C&lt;sub&gt;6&lt;/sub&gt;-labeled SIL-IS and 9.96 nanograms (ng) addition of D&lt;sub&gt;5&lt;/sub&gt;-labeled SIL-IS and was dried using a vacufuge (Eppendorf) until ≥ 95% (by weight) of acetone was removed. Upon acetone removal, the liquid was transferred onto a preconditioned (6 mL of methanol followed by 24 mL of 0.01 M HCl) Bond Elut PPL cartridge (1g/6 mL, Agilent) and loaded by gravity. The samples were eluted with 6 mL of methanol by vacuum followed by evaporation to near dryness in a vacufuge. Samples were reconstituted with 100 µL 5% acetonitrile in Milli-Q water, vortexed thoroughly, and then centrifuged at 12000 g, 22 degrees Celsius (°C) for 5 minutes. The supernatant was transferred to LC vials with glass inserts, which were previously spiked with 5 µL of acetonitrile. The samples were stored at 4°C until LC-MS analyses.&lt;/p&gt; &lt;p&gt;Targeted metabolomics analyses were performed using an ultrahigh performance liquid chromatography system (Vanquish UHPLC, Thermo Scientific) coupled to a heated electrospray ionization source (H-ESI) and an Orbitrap Fusion Lumos Tribrid mass spectrometer (Thermo Scientific). A Waters Acquity HSS T3 column (2.1 mm × 100 mm, 1.8 µm), equipped with an Acquity HSS T3 VanGuard Pre-column, was used for chromatographic separation at 40°C. The column was eluted at 0.5 mL per minute with a combination of solvents: A) 0.1% formic acid in water and B) 0.1% formic acid in acetonitrile. The chromatographic gradient was as follows: 1% B (0-0.5 min), 10% B (0.5-2.0 min), 10% B (2.0-5.0 min), 25% B (5.0-7.0 min), 25% B (7.0-9.0 min), 50% B (9.0-12.5 min), 95% B (12.5-13.0 min), 95% B (13.0-14.5 min), 1% B (14.5-14.6 min), and 1% B (14.6-16.0 min). The autosampler was set at 4°C. Individual autosampler injections (5 µL each) were used for negative and positive ion mode analyses. The first 0.8 minutes of flow was diverted to waste after passing through the column. Other instrument parameters were: ESI voltages = 3600 V (positive) and 2600 V (negative); source gases = 55 (sheath), 20 (auxillary), and 1 (sweep); capillary temperature = 350°C; vaporizer temperature = 400°C. MS data from 170-1000 m/z were collected at resolution 60,000 FWHM (at m/z 200), automatic gain control (AGC) at 4e5, and max injection time 50 msec. MS/MS data were triggered using a targeted mass list with m/z and retention time window for each derivatized analyte, and collected at resolution 7,500 FWHM, AGC 5e4, and max injection time 22 milliseconds using higher energy collisional dissociation (HCD) with 35% collision energy and intensity threshold 2e4. Parent ions were isolated within the quadrupole at a width of 1 m/z.&lt;/p&gt; Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2019589 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2019589 completed Rogier Braakman Massachusetts Institute of Technology MA USA braakman@mit.edu pointOfContact Sonya T. Dyhrman Lamont-Doherty Earth Observatory 845-365-8465 102E Geoscience 61 Route 9W, PO Box 1000 Palisades NY 10964 USA dyhrman@ldeo.columbia.edu pointOfContact Elizabeth Kujawinski Woods Hole Oceanographic Institution 508-289-3493 266 Woods Hole Rd. MS #4 Woods Hole MA 02543 USA ekujawinski@whoi.edu pointOfContact Yuting Zhu Woods Hole Oceanographic Institution y2zhu@odu.edu pointOfContact asNeeded Dataset Version: 1 Unknown species strain metabolites presence metabolite_concentration carbon_concentration cell_specific_concentration carbon_fraction Orbitrap Fusion Lumos Tribrid mass spectrometer (Thermo Scientific) Ultrahigh performance liquid chromatography system (Vanquish UHPLC, Thermo Scientific) theme None, User defined species scientific name (binomial) strain identifier metabolite presence_absence featureType BCO-DMO Standard Parameters Mass Spectrometer Ultra-high-performance liquid chromatography instrument BCO-DMO Standard Instruments otherRestrictions otherRestrictions Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use. Center for Chemical Currencies of a Microbial Planet https://ccomp-stc.org/ Center for Chemical Currencies of a Microbial Planet Functions carried out by microscopic inhabitants of the surface ocean affect every aspect of life on our planet, regardless of distance from the coast. Ocean phytoplankton are responsible for half of the photosynthesis on Earth, the first step in a complex system that annually withdraws 50 billion metric tons of carbon from the atmosphere to sustain their growth. Of this, 25 billion metric tons participate in a rapid cycle in which biologically reactive material is released into seawater and converted back into carbon dioxide by marine bacteria within hours to days. The chemical-microbe network at the heart of this fast cycle remains poorly constrained; consequently, its primary currencies and controls remain elusive; its sensitivities to changing ocean conditions are unknown; and its responses to future climate scenarios are not predictable. The Center for Chemical Currencies of a Microbial Planet (C-CoMP) integrates research, education and knowledge transfer activities to develop a mechanistic understanding of surface ocean carbon flux within the context of a changing ocean and through increased participation in ocean sciences. C-CoMP supports science teams that merge biology, chemistry, modeling, and informatics to close long-standing knowledge gaps in the identities and dynamics of organic molecules that serve as the currencies of elemental transfer between the ocean and atmosphere. C-CoMP fosters education, outreach, and knowledge transfer activities that engage students of all ages, broaden participation in the next generation of ocean scientists, and extend novel open-science approaches into complementary academic and industrial communities. The Center framework is critical to this mission, uniquely facilitating an open exchange of experimental and computational science, methodological and conceptual challenges, and collaborations that establish integrated science and education partnerships. With expanded participation in ocean science research and ocean literacy across the US society, the next generation of ocean scientists will better reflect the diverse US population. Climate-carbon feedbacks on the marine carbon reservoir are major uncertainties for future climate projections, and the trajectory and rate of ocean changes depend directly on microbial responses to temperature increases, ocean acidification, and other perturbations driven by climate change. C-CoMP research closes an urgent knowledge gap in the mechanisms driving carbon flow between ocean and atmosphere, with global implications for predictive climate models. The Center supports interdisciplinary science teams following open and reproducible science practices to address: (1) the chemical currencies of surface ocean carbon flux; (2) the structure and regulation of the chemical-microbe network that mediates this flux; and (3) sensitivity of the network and its feedbacks on climate. C-CoMP leverages emerging tools and technologies to tackle critical challenges in these themes, in synergy with existing ocean programs and consistent with NSF’s Big Ideas. C-CoMP education and outreach activities seek to overcome barriers to ocean literacy and diversify participation in ocean research. The Center is developing (1) initiatives to expand ocean literacy in K-12 and the broader public, (2) ocean sciences undergraduate curricula and research opportunities that provide multiple entry points into research experiences, (3) post-baccalaureate programs to transition undergraduates into graduate education and careers in ocean science, and (4) interdisciplinary graduate student and postdoctoral programs that prepare the next generation of ocean scientists. The C-CoMP team includes education faculty who evaluate the impacts of education and outreach activities and export successful STEM initiatives to the education community. C-CoMP is revolutionizing the technologies for studying chemical transformations in microbial systems to build understanding of the outsized impact of microbes on elemental cycles. Open science, cross-disciplinary collaborations, community engagement, and inclusive practices foster strategic advances in critical science problems and STEM initiatives. C-CoMP science, education, and knowledge-transfer themes are efficiently addressed through a sustained network of scientists addressing critical research challenges while broadening the workforce that will tackle multi-disciplinary problems with academic, industrial and policy partners. 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. The Program's Data Management Plan (DMP) is available as a PDF document. C-CoMP largerWorkCitation program Phytoplankton Exometabolites https://ccomp-stc.org/ Phytoplankton Exometabolites <p>The Center for Chemical Currencies of a Microbial Planet (C-CoMP) is focused on understanding marine chemical currencies. This project examines exometabolites released from representative taxa of marine phytoplankton to better characterize the composition of labile marine dissolved organic matter and understand the biological sources of these metabolites to the marine environment. Specifically, this project integrates novel metabolomics, genomics, transcriptomics, and proteomics methods to identify extracellular metabolites and link them with their production pathways under environmentally relevant conditions.</p> C-CoMP Phytoplankton Exometabolites largerWorkCitation project eng; USA oceans 2022-09-17 2025-02-09 Lab study 0 BCO-DMO catalogue of parameters from Phytoplankton exometabolite concentrations from laboratory cultures of Crocosphaera watsonii, Micromonas commoda, Prochlorococcus marinus, Synechococcus, Gephyrocapsa huxleyi, and Thalassiosira pseudonana collected from September to December 2022 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/991391.rdf Name: species Units: unitless Description: <p>phytoplankton strain grown in the experiment</p> http://lod.bco-dmo.org/id/dataset-parameter/991392.rdf Name: strain Units: unitless Description: <p>CCMP strain identifier of the phytoplankton species</p> http://lod.bco-dmo.org/id/dataset-parameter/991393.rdf Name: metabolites Units: unitless Description: <p>name of the identified metabolite</p> http://lod.bco-dmo.org/id/dataset-parameter/991394.rdf Name: presence Units: unitless Description: <p>whether an exometabolite was identified as present (Y/N)</p> http://lod.bco-dmo.org/id/dataset-parameter/991395.rdf Name: metabolite_concentration Units: nanomoles per liter (nmol/L) Description: <p>blank-corrected, nanomolar metabolite concentration</p> http://lod.bco-dmo.org/id/dataset-parameter/991396.rdf Name: carbon_concentration Units: nanomoles carbon per liter (nmol C/L) Description: <p>blank-corrected, metabolite carbon concentration</p> http://lod.bco-dmo.org/id/dataset-parameter/991397.rdf Name: cell_specific_concentration Units: attomoles per cell (amol/cell) Description: <p>blank-corrected, cell-specific concentration of metabolites</p> http://lod.bco-dmo.org/id/dataset-parameter/991398.rdf Name: carbon_fraction Units: unitless Description: <p>blank-corrected, metabolite&#039;s contribution to phytoplankton-excreted DOC</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.991360.1 download onLine dataset &lt;p&gt;Standards, filtrate samples, and media blanks were derivatized with benzoyl chloride (BC) (Widner et al., 2021). The derivatization and sample preparation protocols together with pictures and video clips are available online (&lt;a href=&quot;https://www.protocols.io/workspaces/kujawinski-lab&quot; target=&quot;_blank&quot;&gt;https://www.protocols.io/workspaces/kujawinski-lab&lt;/a&gt;). Briefly, each 5-milliliter (mL) sample was basified with 150 microliters (µL) of 8 M NaOH, derivatized with 1 mL BC working solution for 5 minutes, and then acidified with 75 µL phosphoric acid. The BC working solution was prepared by mixing 95 mL acetone (Optima, ACROS Organics) with 5 mL BC (99%, ACROS Organics) and was used within 36 hours after preparation. Two sets of stable isotopically labeled internal standards (SIL-IS) were prepared by derivatizing standard mixes of metabolites in seawater (aged, 0.1-µm filtered seawater collected from offshore Caribbean Sea) using BC working reagent prepared with &lt;sup&gt;13&lt;/sup&gt;C&lt;sub&gt;6&lt;/sub&gt;-BC (99% &lt;sup&gt;13&lt;/sup&gt;C, Sigma-Aldrich) or D&lt;sub&gt;5&lt;/sub&gt;-BC (99% D, Cambridge Isotope Laboratories, Inc.), respectively. SIL-IS were derivatized following the same protocol as the samples.&lt;/p&gt; &lt;p&gt;Each derivatized standard, filtrate, or media blank was spiked with 498 pg addition of &lt;sup&gt;13&lt;/sup&gt;C&lt;sub&gt;6&lt;/sub&gt;-labeled SIL-IS and 9.96 nanograms (ng) addition of D&lt;sub&gt;5&lt;/sub&gt;-labeled SIL-IS and was dried using a vacufuge (Eppendorf) until ≥ 95% (by weight) of acetone was removed. Upon acetone removal, the liquid was transferred onto a preconditioned (6 mL of methanol followed by 24 mL of 0.01 M HCl) Bond Elut PPL cartridge (1g/6 mL, Agilent) and loaded by gravity. The samples were eluted with 6 mL of methanol by vacuum followed by evaporation to near dryness in a vacufuge. Samples were reconstituted with 100 µL 5% acetonitrile in Milli-Q water, vortexed thoroughly, and then centrifuged at 12000 g, 22 degrees Celsius (°C) for 5 minutes. The supernatant was transferred to LC vials with glass inserts, which were previously spiked with 5 µL of acetonitrile. The samples were stored at 4°C until LC-MS analyses.&lt;/p&gt; &lt;p&gt;Targeted metabolomics analyses were performed using an ultrahigh performance liquid chromatography system (Vanquish UHPLC, Thermo Scientific) coupled to a heated electrospray ionization source (H-ESI) and an Orbitrap Fusion Lumos Tribrid mass spectrometer (Thermo Scientific). A Waters Acquity HSS T3 column (2.1 mm × 100 mm, 1.8 µm), equipped with an Acquity HSS T3 VanGuard Pre-column, was used for chromatographic separation at 40°C. The column was eluted at 0.5 mL per minute with a combination of solvents: A) 0.1% formic acid in water and B) 0.1% formic acid in acetonitrile. The chromatographic gradient was as follows: 1% B (0-0.5 min), 10% B (0.5-2.0 min), 10% B (2.0-5.0 min), 25% B (5.0-7.0 min), 25% B (7.0-9.0 min), 50% B (9.0-12.5 min), 95% B (12.5-13.0 min), 95% B (13.0-14.5 min), 1% B (14.5-14.6 min), and 1% B (14.6-16.0 min). The autosampler was set at 4°C. Individual autosampler injections (5 µL each) were used for negative and positive ion mode analyses. The first 0.8 minutes of flow was diverted to waste after passing through the column. Other instrument parameters were: ESI voltages = 3600 V (positive) and 2600 V (negative); source gases = 55 (sheath), 20 (auxillary), and 1 (sweep); capillary temperature = 350°C; vaporizer temperature = 400°C. MS data from 170-1000 m/z were collected at resolution 60,000 FWHM (at m/z 200), automatic gain control (AGC) at 4e5, and max injection time 50 msec. MS/MS data were triggered using a targeted mass list with m/z and retention time window for each derivatized analyte, and collected at resolution 7,500 FWHM, AGC 5e4, and max injection time 22 milliseconds using higher energy collisional dissociation (HCD) with 35% collision energy and intensity threshold 2e4. Parent ions were isolated within the quadrupole at a width of 1 m/z.&lt;/p&gt; Specified by the Principal Investigator(s) &lt;p&gt;Metabolite identification and peak area integration were performed using Skyline. MS data and retention times were used for peak identification and integration. MS/MS data were used to confirm the compound identification. Metabolite concentrations were quantified using calibration curves with peak area ratios of the non-labeled (light) metabolite added (ng) to the heavy-D&lt;sub&gt;5&lt;/sub&gt; or heavy-&lt;sup&gt;13&lt;/sup&gt;C&lt;sub&gt;6&lt;/sub&gt; internal standard. The MATLAB script (considerSkyline.m) used for processing Skyline output is available at the Kujawinski Lab SkyMat repository (&lt;a href=&quot;https://github.com/KujawinskiLaboratory/SkyMat&quot; target=&quot;_blank&quot;&gt;https://github.com/KujawinskiLaboratory/SkyMat&lt;/a&gt;; doi: &lt;a href=&quot;http://dx.doi.org/10.5281/zenodo.18684411&quot; target=&quot;_blank&quot;&gt;10.5281/zenodo.18684411&lt;/a&gt;). For several metabolites, calculated concentrations exceeded the 11-point calibration curve's upper limit (e.g., 100 ng). To determine the limit of linearity (LOL), the standard curve was extended to 1500 ng. Glycerol 3-phosphate was the only metabolite with its concentrations in&lt;em&gt; T. pseudonana&lt;/em&gt; filtrates (961-1108 ng) slightly exceeding the calculated LOL (1000 ng), while the concentrations of the rest of the 55 metabolites were all below the LOL. Therefore, no further correction was applied to the concentrations quantified using the 11-point calibration curve. Metabolite concentrations were filtered based on the calculated limit of detection (LOD), which was calculated using a subset standard curve taken from the lower end of the 11-point calibration curve. The subset standard curve contains a minimum of 4 data points (a blank and three non-zero points) and encompasses the limit of quantification (LOQ). LOD and LOQ were calculated as 3.3 and 10 times the standard deviation of the y-intercept divided by the slope, respectively. Metabolite concentrations lower than the calculated LODs were replaced with zeros. For most of the metabolites, these steps yielded two data tables for each ionization mode, one based on &lt;sup&gt;13&lt;/sup&gt;C&lt;sub&gt;6&lt;/sub&gt; normalization and the other based on D&lt;sub&gt;5&lt;/sub&gt; normalization.&lt;/p&gt; &lt;p&gt;A matrix correction was conducted by comparing the 11-point calibration curve prepared in seawater and the 6-point matrix-matched standard curves prepared in media blanks and normalized with the corresponding SIL-IS. Statistical differences between the slopes of the two standard curves were assessed for each matrix type. If the slopes were statistically different, a matrix correction factor was calculated by dividing the slope of the matrix-matched calibration curve by the slope of the calibration curve prepared in seawater. The adjusted concentration was then determined by dividing the metabolite concentration by this matrix correction factor.&lt;/p&gt; &lt;p&gt;To choose which SIL-IS and ion mode to use, the 95% prediction interval for the metabolite concentration at each sample point was calculated using each calibration curve. For each metabolite, the SIL-IS that yielded a standard curve with the lowest average 95% prediction interval across the range of sample concentrations was selected. For metabolites analyzed in both positive and negative ion modes, we selected the ion mode with the lowest 95% prediction interval for the selected calibration curve.&lt;/p&gt; &lt;p&gt;In the final data table, presence of exometabolites was determined based on whether their concentrations in filtrates are statistically higher (Student's t-test, &lt;em&gt;P&lt;/em&gt;&amp;lt; 0.05) than the media blanks.&lt;/p&gt; Specified by the Principal Investigator(s) - Imported original file &quot;Phytoplankton_exometabolite_abundance_table.xlsx&quot; into the BCO-DMO system. - Replaced the non-standard character &quot;γ&quot; with &quot;gamma&quot; in the &quot;metabolites&quot; column. - Saved the final file as &quot;991360_v1_pxm1_exometabolite_concentration.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 Orbitrap Fusion Lumos Tribrid mass spectrometer (Thermo Scientific) Orbitrap Fusion Lumos Tribrid mass spectrometer (Thermo Scientific) PI Supplied Instrument Name: Orbitrap Fusion Lumos Tribrid mass spectrometer (Thermo Scientific) PI Supplied Instrument Description:Ultrahigh performance liquid chromatography system (Vanquish UHPLC, Thermo Scientific) coupled to a heated electrospray ionization source (H-ESI) and an Orbitrap Fusion Lumos Tribrid mass spectrometer (Thermo Scientific) Instrument Name: Mass Spectrometer Instrument Short Name:Mass Spec Instrument Description: General term for instruments used to measure the mass-to-charge ratio of ions; generally used to find the composition of a sample by generating a mass spectrum representing the masses of sample components. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB16/ Ultrahigh performance liquid chromatography system (Vanquish UHPLC, Thermo Scientific) Ultrahigh performance liquid chromatography system (Vanquish UHPLC, Thermo Scientific) PI Supplied Instrument Name: Ultrahigh performance liquid chromatography system (Vanquish UHPLC, Thermo Scientific) PI Supplied Instrument Description:Ultrahigh performance liquid chromatography system (Vanquish UHPLC, Thermo Scientific) coupled to a heated electrospray ionization source (H-ESI) and an Orbitrap Fusion Lumos Tribrid mass spectrometer (Thermo Scientific) Instrument Name: Ultra-high-performance liquid chromatography Instrument Short Name:UHPLC Instrument Description: Ultra high-performance liquid chromatography: Column chromatography where the mobile phase is a liquid, the stationary phase consists of very small (< 2 microm) particles and the inlet pressure is relatively high.