http://lod.bco-dmo.org/id/dataset/986858 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) Fourier Transform-Ion Cyclotron Resonance Mass spectrometry (FT-ICR MS) peaks lists from the Tapajós River, Brazil from 2016-2023 2026-01-20 publication 2026-01-20 revision Woods Hole Oceanographic Institution (WHOI BCO-DMO) 2026-02-04 publication https://doi.org/10.26008/1912/bco-dmo.986858.1 Martin R. Kurek Florida State University EOAS principalInvestigator Robert G. M. Spencer Florida State University EOAS principalInvestigator Robert Max Holmes Woodwell Climate Research Center principalInvestigator Amy M. McKenna Florida State University - National High Magnetic Field Lab principalInvestigator José Mauro Moura Federal University of Western Pará principalInvestigator Rafael Muniz Federal University of Western Pará principalInvestigator Bernhard Peucker-Ehrenbrink 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: Kurek, M. R., Muniz, R., Moura, J. M., Peucker-Ehrenbrink, B., Holmes, R. M., McKenna, A. M., Spencer, R. G. M. (2026) Fourier Transform-Ion Cyclotron Resonance Mass spectrometry (FT-ICR MS) peaks lists from the Tapajós River, Brazil from 2016-2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-01-20 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.986858.1 [access date] Methods and Sampling: &lt;p&gt;Water samples were collected near‐monthly from the Tapajós River upstream of Itaituba&amp;nbsp;Brazil&amp;nbsp;(-4.3375,-56.06953). Three water samples (1 L) were collected at 0.5 m depth from the river across the channel in equal spacing and combined into a 4 L acid‐washed carboy to make a composite sample.&amp;nbsp; The water was filtered through a 0.45 μm capsule filter with a peristaltic pump into acid‐rinsed high‐density polyethylene (HDPE) bottles. Filtered samples were kept cold during transport and immediately frozen upon transfer to the laboratory and kept in the dark until analysis.&lt;/p&gt; Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2333961 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2333961 completed Martin R. Kurek Florida State University EOAS m.kurek@colostate.edu pointOfContact Robert G. M. Spencer Florida State University EOAS 850-645-0955 Earth, Ocean & Atmospheric Science 303 Oceanography Building Tallahassee FL 32306 USA rgspencer@magnet.fsu pointOfContact Robert Max Holmes Woodwell Climate Research Center rmholmes@woodwellclimate.org pointOfContact Amy M. McKenna Florida State University - National High Magnetic Field Lab mckenna@magnet.fsu.edu pointOfContact José Mauro Moura Federal University of Western Pará jmaurosm@gmail.com pointOfContact Rafael Muniz Federal University of Western Pará rafaelmuniz.cc@gmail.com pointOfContact Bernhard Peucker-Ehrenbrink Woods Hole Oceanographic Institution bpeucker@whoi.edu pointOfContact asNeeded Dataset Version: 1 Unknown Sample Date_ISO lat_dd lon_dd Exp_mass Theor_mz Error Filez_RA DBE HC OC Molecular_Formula C Hion N O S C13 H P AImod NC SC NOSC Formula Class FT‐ICR mass spectrometer equipped with a 21T superconducting solenoid magnet at the National High Magnetic Field Laboratory (Tallahassee, FL) theme None, User defined sample identification date latitude longitude mass No BCO-DMO term Elemental carbon (C) Nitrogen Monoatomic oxygen (O) Sulfur (S) 13C, stable isotope of C hydrogen Phosphorus featureType BCO-DMO Standard Parameters Fourier Transform Ion Cyclotron Resonance Mass Spectrometer 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. RAPID: El Nino Event Impacts on Organic Matter Export and Composition in the Amazon River https://osprey.bco-dmo.org/project/935522 RAPID: El Nino Event Impacts on Organic Matter Export and Composition in the Amazon River <p><em>NSF Award Abstract:</em><br /> The Amazon River is one of the largest sources of freshwater and carbon to the ocean. Thus, understanding the factors that influence freshwater delivery from the Amazon River is important for understanding the carbon cycle of the Amazon River and the receiving Atlantic Ocean. El Niño–Southern Oscillation (ENSO) is a periodic event that causes changes in winds and sea surface temperature over the tropical eastern Pacific Ocean and affects climate in the tropics and subtropics. The National Weather Service predicts that El Niño conditions are likely to form across the Pacific during Summer 2023. These conditions are expected to last through February 2024. This event is expected to impact precipitation and air temperatures in the Amazon Basin and freshwater delivery from the Amazon River. This project aims to study the amount and chemical composition of dissolved organic carbon delivered from the Amazon River to the Atlantic Ocean during the 2023-2024 El Niño event. Scientists involved in this project plan to collect samples from late Summer 2023 through late Summer 2024. The study will identify conditions before, during and after this event. This unique set of samples will enable the team of scientists to study how ENSO influences the delivery of organic carbon to the coastal ocean.<br /> This project provides support for an early career researcher and promotes international cooperation and inclusivity between researchers from the United States of America and researchers in Brazil who are directly impacted by the changing Amazon River.</p> <p>This project examines how El Niño Southern Oscillation (ENSO) anomalies impact the export of dissolved organic carbon (DOC) and composition of dissolved organic matter (DOM) from the Amazon River to the Atlantic Ocean. Based on recent studies, it has been hypothesized that the upcoming 2023 El Niño event will reduce the annual DOC flux and proportion of exported terrestrial DOM from the Amazon River compared to non-ENSO and La Niña years. This hypothesis will be examined by linking established state-of-the-art optical and molecular-level characterization techniques (e.g., Fourier-transform ion cyclotron resonance mass spectrometry; FT-ICR MS) with DOC flux calculations over the course of an El Niño year. Analyzing both bulk DOC fluxes and the molecular-level composition will reveal how the quantity and quality of DOM export will change monthly in response to reduced precipitation and higher temperature across the Amazon Basin and headwaters. DOC fluxes as well as detailed characterizations (FT-ICR MS, optical, fluorescence analysis) of DOM sampled from the furthest downstream Amazon River gauging station at Óbidos (Brazil) will be directly compared to results obtained from the 2011-2012 La Niña year and the following 2012-2013 hydrologically normal year to determine how global climate anomalies impact the DOC export to marine systems and to create a framework for future predictions. Data obtained from this proposed study will lay the foundations for larger studies investigating how ENSO cycles impact discharge and carbon export from other major tropical-subtropical rivers and ultimately, how ENSO cycles impact global land-ocean carbon export.</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> ENSO impact on Amazon River DOC and DOM largerWorkCitation project eng; USA oceans -56.06953 -56.06953 -4.3375 -4.3375 2016-01-28 2023-11-30 Amazon River basin 0 BCO-DMO catalogue of parameters from Fourier Transform-Ion Cyclotron Resonance Mass spectrometry (FT-ICR MS) peaks lists from the Tapajós River, Brazil from 2016-2023 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/992670.rdf Name: Sample Units: unitless Description: <p>Sample name</p> http://lod.bco-dmo.org/id/dataset-parameter/992671.rdf Name: Date_ISO Units: unitless Description: <p>Sample date in ISO 8601 format</p> http://lod.bco-dmo.org/id/dataset-parameter/992672.rdf Name: lat_dd Units: decimal degrees Description: <p>Sample latitude</p> http://lod.bco-dmo.org/id/dataset-parameter/992674.rdf Name: lon_dd Units: decimal degrees Description: <p>Sample longitude</p> http://lod.bco-dmo.org/id/dataset-parameter/992676.rdf Name: Exp_mass Units: Daltons (Da) Description: <p>Experimental mass</p> http://lod.bco-dmo.org/id/dataset-parameter/992677.rdf Name: Theor_mz Units: Daltons (Da) Description: <p>Theoretical mass</p> http://lod.bco-dmo.org/id/dataset-parameter/992678.rdf Name: Error Units: parts per million (ppm) Description: <p>Error between experimental and theoretical mass</p> http://lod.bco-dmo.org/id/dataset-parameter/992679.rdf Name: Filez_RA Units: unitless Description: <p>Peak relative intensity</p> http://lod.bco-dmo.org/id/dataset-parameter/992680.rdf Name: DBE Units: unitless Description: <p>Double bond equivalents</p> http://lod.bco-dmo.org/id/dataset-parameter/992681.rdf Name: HC Units: unitless Description: <p>H atoms/C atoms (ratio)</p> http://lod.bco-dmo.org/id/dataset-parameter/992682.rdf Name: OC Units: unitless Description: <p>O atoms/C atoms (ratio)</p> http://lod.bco-dmo.org/id/dataset-parameter/992683.rdf Name: Molecular_Formula Units: unitless Description: <p>Assigned molecular formula with all atoms</p> http://lod.bco-dmo.org/id/dataset-parameter/992684.rdf Name: C Units: count Description: <p>C (carbon) atoms</p> http://lod.bco-dmo.org/id/dataset-parameter/992685.rdf Name: Hion Units: count Description: <p>H (hydrogen)-1 ions (H- ion)</p> http://lod.bco-dmo.org/id/dataset-parameter/992686.rdf Name: N Units: count Description: <p>N (nitrogen) atoms</p> http://lod.bco-dmo.org/id/dataset-parameter/992687.rdf Name: O Units: count Description: <p>O (oxygen) atoms</p> http://lod.bco-dmo.org/id/dataset-parameter/992688.rdf Name: S Units: count Description: <p>S (sulfur) atoms</p> http://lod.bco-dmo.org/id/dataset-parameter/992689.rdf Name: C13 Units: count Description: <p>13C (stable carbon isotope) atoms</p> http://lod.bco-dmo.org/id/dataset-parameter/992690.rdf Name: H Units: count Description: <p>H (hydrogen) atoms</p> http://lod.bco-dmo.org/id/dataset-parameter/992691.rdf Name: P Units: count Description: <p>P (phosphorous) atoms</p> http://lod.bco-dmo.org/id/dataset-parameter/992692.rdf Name: AImod Units: unitless Description: <p>Modified aromaticity index</p> http://lod.bco-dmo.org/id/dataset-parameter/992693.rdf Name: NC Units: unitless Description: <p>N atoms/C atoms</p> http://lod.bco-dmo.org/id/dataset-parameter/992694.rdf Name: SC Units: unitless Description: <p>S atoms/C atoms</p> http://lod.bco-dmo.org/id/dataset-parameter/992695.rdf Name: NOSC Units: unitless Description: <p>Nominal oxidation state of C (carbon)</p> http://lod.bco-dmo.org/id/dataset-parameter/992696.rdf Name: Formula Units: unitless Description: <p>Simplified molecular formula without isotopes</p> http://lod.bco-dmo.org/id/dataset-parameter/992697.rdf Name: Class Units: unitless Description: <p>Heteroatom-containing formula classification</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.986858.1 download onLine dataset &lt;p&gt;Water samples were collected near‐monthly from the Tapajós River upstream of Itaituba&amp;nbsp;Brazil&amp;nbsp;(-4.3375,-56.06953). Three water samples (1 L) were collected at 0.5 m depth from the river across the channel in equal spacing and combined into a 4 L acid‐washed carboy to make a composite sample.&amp;nbsp; The water was filtered through a 0.45 μm capsule filter with a peristaltic pump into acid‐rinsed high‐density polyethylene (HDPE) bottles. Filtered samples were kept cold during transport and immediately frozen upon transfer to the laboratory and kept in the dark until analysis.&lt;/p&gt; Specified by the Principal Investigator(s) &lt;p&gt;Mass spectral peaks (&amp;gt;6σ root‐mean‐square (RMS) baseline noise) were exported to a peak list and processed using PetroOrg. Molecular formulae were assigned to ions constrained by C4‐75H4‐150O1‐30N0‐4S0‐2 not exceeding 300 ppb error. The resulting peak list includes all confidently assigned molecular formulae across every analyzed sample. Individual molecular formulae peaks can be compared between samples and bulk stoichiometric parameters (e.g., mean H/C , O/C ratio) can be determined for each sample in this dataset.&amp;nbsp;&lt;/p&gt; Specified by the Principal Investigator(s) * Table within the submitted file &quot;Tapajos_FT-CR MS peaks_combined.csv&quot; was imported into the BCO-DMO data system for this dataset.  Table will appear as Data File: 986858_v1_tapajos_mass-spec-peaks.csv (along with other download format options). * Table within Sheet 1 from file &quot;Tapajos_sample dates.xlsx&quot; was imported as supplemental file (table added to BCO-DMO page as &quot;sample-metadata.csv&quot;). Column &quot;Sample Name&quot; was adjusted to add zero-padding for samples with only one digit in order to match to the primary data table column &quot;Sample.&quot; * sample date and lat,lon were added to the primary data 986858_v1_tapajos_mass-spec-peaks.csv by joining on the sample identifier in both tables. Changes made in all tables in this dataset: * Column names adjusted to conform to BCO-DMO naming conventions designed to support broad re-use by a variety of research tools and scripting languages. [Only numbers, letters, and underscores.  Can not start with a number] * Date converted to ISO 8601 format * Location field contained both latitude and longitude in degrees minutes and seconds (e.g. '&quot;4°20'15.0&quot;S 56°04'10.3&quot;W&quot;') which was converted to separate lat_dd lon_dd columns (also converted to decimal degrees) 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 FT‐ICR mass spectrometer equipped with a 21T superconducting solenoid magnet at the National High Magnetic Field Laboratory (Tallahassee, FL) FT‐ICR mass spectrometer equipped with a 21T superconducting solenoid magnet at the National High Magnetic Field Laboratory (Tallahassee, FL) PI Supplied Instrument Name: FT‐ICR mass spectrometer equipped with a 21T superconducting solenoid magnet at the National High Magnetic Field Laboratory (Tallahassee, FL) PI Supplied Instrument Description:Solid phase extracted water samples (PPL columns) were analyzed on a custom‐built hybrid linear ion trap ultra‐high resolution FT‐ICR mass spectrometer equipped with a 21T superconducting solenoid magnet at the National High Magnetic Field Laboratory (Tallahassee, FL).  Negatively charged ions from DOM were produced via electrospray ionization (ESI) at a flow rate of 500 nL min-1 via a syringe pump. Typical conditions for ion formation included: emitter voltage, -2.8–3.2 kV; S‐lens RF level, 40%; and heated metal capillary temperature, 350 degrees C. Instrument Name: Fourier Transform Ion Cyclotron Resonance Mass Spectrometer Instrument Short Name:FTICR MS Instrument Description: In Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, the mass-to-charge ratio (m/z) of an ion is experimentally determined by measuring the frequency at which the ion processes in a magnetic field. These frequencies, which are typically in the 100 KHz to MHz regime, can be measured with modern electronics making it possible to determine the mass of an ion to within +/- 0.000005 amu or 5 ppm.