http://lod.bco-dmo.org/id/dataset/962507 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 2025-05-22 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Watershed concentrations of dissolved inorganic carbon, dissolved organic carbon, and particulate organic carbon in the York River Estuary sampled in 2019-2021. 2025-09-23 publication 2025-09-23 revision Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA) 2025-09-23 publication https://doi.org/10.26008/1912/bco-dmo.962507.1 Iris C. Anderson Virginia Institute of Marine Science principalInvestigator Mark J. Brush Virginia Institute of Marine Science principalInvestigator Kimberly S. Reece Virginia Institute of Marine Science principalInvestigator Bongkeun Song Virginia Institute of Marine Science 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: Brush, M. J., Anderson, I. C., Reece, K. S., Song, B. (2025) Watershed concentrations of dissolved inorganic carbon, dissolved organic carbon, and particulate organic carbon in the York River Estuary sampled in 2019-2021. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-09-23 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.962507.1 [access date] Watershed carbon concentrations Dataset Description: Methods and Sampling: &lt;p&gt;Three of the four stations were accessed by land.&amp;nbsp; The two USGS gauge sites (Pamunkey Gauge, PG; Mattaponi Gauge, MG) were sampled by lowering a bucket from the bridges crossing the rivers at the gauge locations. &amp;nbsp;The other site (Walkerton Landing Bridge, WLB) was sampled from a floating dock.&amp;nbsp; The White House station (WH) was not accessible from the road; this station is a long-term monitoring site of the Chesapeake Bay National Estuarine Research Reserve in Virginia (CBNERRVA) and was sampled for us by CBNERRVA staff.&amp;nbsp; Sample dates were the same except for two dates when WH was sampled one day before or after the other sites.&amp;nbsp; Samples were collected from the surface at all stations.&amp;nbsp; Water temperature and salinity were measured in the field with a YSI EXO2 datasonde.&amp;nbsp; Carbon samples were collected in triplicate and filtered immediately in the field at PG, MG, and WLB; samples from WH were kept on ice and returned to the lab for filtration.&amp;nbsp; DIC samples were filtered through 0.2 um polycarbonate filters into 8-mL hungate tubes and refrigerated underwater until analysis on an Apollo SciTech AS-C3 analyzer coupled to a LI-COR LI-7000 infrared gas analyzer.&amp;nbsp; DOC samples were filtered through 0.45 um polyethersulfone filters and frozen prior to analysis on a Shimadzu TOC-V organic carbon analyzer.&amp;nbsp; POC samples were filtered onto pre-combusted 0.7 um glass fiber filters, dried at 60°C, and stored in a dessicator prior to analysis. &amp;nbsp;Beginning in August 2019, samples were fumed with HCl to remove any inorganic carbon.&amp;nbsp; Samples through June 2019 were measured on a Thermo 1110 CHN Analyzer; subsequent samples were measured on a Costech 4010 CHN Analyzer.&amp;nbsp; A series of blank filters were also measured to correct for background POC concentrations.&lt;/p&gt; Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1737258 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1737258 completed Iris C. Anderson Virginia Institute of Marine Science 757-876-9436 P.O Box 1346 Gloucester Point VA 23062 USA iris@vims.edu pointOfContact Mark J. Brush Virginia Institute of Marine Science 804-684-7402 P.O Box 1346 Gloucester Point VA 23062 USA brush@vims.edu pointOfContact Kimberly S. Reece Virginia Institute of Marine Science 804-684-7407 P.O Box 1346 Gloucester Point VA 23062 USA kreece@vims.edu pointOfContact Bongkeun Song Virginia Institute of Marine Science 804-684-7411 P.O Box 1346 Gloucester Point VA 23692 USA songb@vims.edu pointOfContact asNeeded Dataset Version: 1 Unknown Station Lat Long Date Temp Salinity DIC_uM DIC_se DOC_uM DOC_se POC_mgl POC_se Apollo SciTech AS-C3 LI-COR LI-7000 Costech 4010 CHN Analyzer Thermo 1110 CHN Analyzer Shimadzu TOC-V organic carbon YSI EXO2 theme None, User defined station latitude longitude date temperature of sample or a generic measurement (not in-situ water temp) salinity dissolved inorganic Carbon dissolved organic Carbon particulate organic Carbon (POC) featureType BCO-DMO Standard Parameters Apollo SciTech AS-C3 Dissolved Inorganic Carbon (DIC) analyzer LI-COR LI-7000 Gas Analyzer Particulate Organic Carbon/Nitrogen Analyzer Particulate Organic Carbon/Nitrogen Analyzer Shimadzu TOC-V Analyzer YSI EXO multiparameter water quality sondes 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. Alteration of carbon fluxes by intense phytoplankton blooms in a microtidal estuary https://osprey.bco-dmo.org/project/747588 Alteration of carbon fluxes by intense phytoplankton blooms in a microtidal estuary <p><em>NSF Award Abstract:</em><br /> Estuaries, coastal water bodies where rivers mix with ocean water, are hotspots for the processing of carbon and nutrients moving from land to the coastal ocean. Within estuaries land-based nutrient inputs can cause intense blooms of single-celled algae called phytoplankton, which can have significant impacts on the ecosystem. As blooms move down-estuary some of the phytoplankton material is buried on the bottom, and some is decomposed, resulting in low oxygen conditions (hypoxia), harmful to marine life, and production of carbon dioxide (CO2), the major greenhouse gas, which can exchange with the atmosphere. The remaining phytoplankton material can be exported to the ocean. The type and amount of carbon exported from the estuary depend both on its biological activity and physical factors such as fresh water discharge, temperature, and light availability. If phytoplankton production is greater than decomposition, the estuary will take up atmospheric CO2 and export phytoplankton carbon to the coastal ocean. On the other hand, if decomposition is greater than production the estuary will be a source of CO2 to the atmosphere and dissolved CO2 to the coastal ocean. The investigators expect that intense phytoplankton blooms will greatly amplify carbon exchanges with the atmosphere, coastal ocean, and bottom sediments. As intense phytoplankton blooms increase in the future due to increased nutrient inputs and temperature, low oxygen events may become more frequent with potential negative impacts on fisheries and increased export of carbon to the coastal ocean and atmosphere. This study will fill critical gaps identified by the Coastal Carbon Synthesis Program in knowledge of how microtidal estuaries transform and export C to the atmosphere, benthos, and coastal ocean. In addition, there will be a strong teaching and training component to this project, with support for graduate and undergraduate students. The graduate student will be partnered with secondary teachers to gain teaching experience and enrich the middle school educational programs. Summer undergraduate interns will be recruited for a summer program from Hampton University, a historically Black college. There will be public outreach through participation in existing programs at VIMS.</p> <p>Estuaries serve as critical hotspots for the processing of carbon (C) as it transits from land to the coastal ocean. Recent attempts to synthesize what is known about sources and fates of C in estuaries have noted large data gaps; thus, the role of estuaries, especially those that are microtidal, as important sources of carbon dioxide (CO2) to the atmosphere and total organic carbon (TOC) and dissolved inorganic carbon (DIC) to the coastal ocean, or as a C sink in bottom sediments, remains uncertain. Intensive phytoplankton blooms are becoming increasingly frequent in many estuaries and are likely to have important and yet unknown impacts on the C cycle. The trophic status of an estuary will determine in large part the species of C exported to the atmosphere, bottom sediments, and coastal ocean. The overarching objective of this project is to identify the impacts of intense phytoplankton blooms on C speciation, net C fluxes and exchanges in the Lower York River Estuary (LYRE), a representative mesotrophic, microtidal mid-Atlantic estuary. Metabolic processes are hypothesized to be spatially and temporally dynamic, driving the speciation, abundance, and fates of C in the LYRE. High spatiotemporal resolution sampling in the LYRE will capture rates of C cycling under both baseline conditions throughout most of the year, and during periods when the estuary is perturbed by widespread and intense, but patchy, late summer phytoplankton blooms. The short-term effects of physical drivers (wind, temperature, salinity, fresh water discharge, nutrient and organic carbon loads) and biological drivers (metabolic rates, bacterial and phytoplankton abundances and composition) on C transformations, speciation, and exchanges will be assessed. Expected longer term variations in the C cycle due to anthropogenic and natural disturbances will be predicted through use of modeling. In addition, laboratory manipulations will examine the impacts of specific organisms dominating intensive phytoplankton blooms on benthic metabolism, processing of organic C by the microbial community, and C fluxes to the water column.</p> LYRE largerWorkCitation project eng; USA oceans -77.33184 -77.0254 37.57818 37.88375 2019-04-03 2021-03-02 York River Estuary, Virginia 0 BCO-DMO catalogue of parameters from Watershed concentrations of dissolved inorganic carbon, dissolved organic carbon, and particulate organic carbon in the York River Estuary sampled in 2019-2021. 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/962530.rdf Name: Station Units: unitless Description: <p>Station code (see Methods for full names)</p> http://lod.bco-dmo.org/id/dataset-parameter/962531.rdf Name: Lat Units: decimal degrees Description: <p>Latitude</p> http://lod.bco-dmo.org/id/dataset-parameter/962532.rdf Name: Long Units: decimal degrees Description: <p>Longitude</p> http://lod.bco-dmo.org/id/dataset-parameter/962533.rdf Name: Date Units: unitless Description: <p>Sampling date</p> http://lod.bco-dmo.org/id/dataset-parameter/962534.rdf Name: Temp Units: degrees Celsius (°C) Description: <p>Water temperature in degrees Celcius</p> http://lod.bco-dmo.org/id/dataset-parameter/962535.rdf Name: Salinity Units: practical salinity units (PSU) Description: <p>Water salinity</p> http://lod.bco-dmo.org/id/dataset-parameter/962536.rdf Name: DIC_uM Units: micromoles per liter (umol/l) Description: <p>Dissolved inorganic carbon concentration</p> http://lod.bco-dmo.org/id/dataset-parameter/962537.rdf Name: DIC_se Units: micromoles per liter (umol/l) Description: <p>Standard error of DIC replicates</p> http://lod.bco-dmo.org/id/dataset-parameter/962538.rdf Name: DOC_uM Units: micromoles per liter (umol/l) Description: <p>Dissolved organic carbon concentration</p> http://lod.bco-dmo.org/id/dataset-parameter/962539.rdf Name: DOC_se Units: micromoles per liter (umol/l) Description: <p>Standard error of DOC replicates</p> http://lod.bco-dmo.org/id/dataset-parameter/962540.rdf Name: POC_mgl Units: milligrams per liter (mg/l) Description: <p>Particulate organic carbon concentration</p> http://lod.bco-dmo.org/id/dataset-parameter/962541.rdf Name: POC_se Units: milligrams per liter (mg/l) Description: <p>Standard error of POC replicates</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 5128 https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/aff3ec4d-f688-44f4-85e4-59eb32762a9a/content download https://doi.org/10.26008/1912/bco-dmo.962507.1 download onLine dataset &lt;p&gt;Three of the four stations were accessed by land.&amp;nbsp; The two USGS gauge sites (Pamunkey Gauge, PG; Mattaponi Gauge, MG) were sampled by lowering a bucket from the bridges crossing the rivers at the gauge locations. &amp;nbsp;The other site (Walkerton Landing Bridge, WLB) was sampled from a floating dock.&amp;nbsp; The White House station (WH) was not accessible from the road; this station is a long-term monitoring site of the Chesapeake Bay National Estuarine Research Reserve in Virginia (CBNERRVA) and was sampled for us by CBNERRVA staff.&amp;nbsp; Sample dates were the same except for two dates when WH was sampled one day before or after the other sites.&amp;nbsp; Samples were collected from the surface at all stations.&amp;nbsp; Water temperature and salinity were measured in the field with a YSI EXO2 datasonde.&amp;nbsp; Carbon samples were collected in triplicate and filtered immediately in the field at PG, MG, and WLB; samples from WH were kept on ice and returned to the lab for filtration.&amp;nbsp; DIC samples were filtered through 0.2 um polycarbonate filters into 8-mL hungate tubes and refrigerated underwater until analysis on an Apollo SciTech AS-C3 analyzer coupled to a LI-COR LI-7000 infrared gas analyzer.&amp;nbsp; DOC samples were filtered through 0.45 um polyethersulfone filters and frozen prior to analysis on a Shimadzu TOC-V organic carbon analyzer.&amp;nbsp; POC samples were filtered onto pre-combusted 0.7 um glass fiber filters, dried at 60°C, and stored in a dessicator prior to analysis. &amp;nbsp;Beginning in August 2019, samples were fumed with HCl to remove any inorganic carbon.&amp;nbsp; Samples through June 2019 were measured on a Thermo 1110 CHN Analyzer; subsequent samples were measured on a Costech 4010 CHN Analyzer.&amp;nbsp; A series of blank filters were also measured to correct for background POC concentrations.&lt;/p&gt; Specified by the Principal Investigator(s) &lt;p&gt;DIC, DOC, and POC were sampled in triplicate at each station; this dataset reports means and standard errors.&lt;/p&gt; Specified by the Principal Investigator(s) * Converted Date column to ISO format (YYYY-MM-DD) * Renamed parameters to comply with database requirements (no spaces, periods or special characters) * Converted NaN values to blanks * Served displayed excel values with exception to lat/lon values, after discussion with submitter were processed with a precision of 6 decimal numbers. 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 Apollo SciTech AS-C3 Apollo SciTech AS-C3 PI Supplied Instrument Name: Apollo SciTech AS-C3 PI Supplied Instrument Description:DIC concentrations were measured on an Apollo SciTech AS-C3 analyzer coupled to a LI-COR LI-7000 infrared gas analyzer.  Instrument Name: Apollo SciTech AS-C3 Dissolved Inorganic Carbon (DIC) analyzer Instrument Short Name:Apollo SciTech AS-C3 Instrument Description: A Dissolved Inorganic Carbon (DIC) analyzer, for use in aquatic carbon dioxide parameter analysis of coastal waters, sediment pore-waters, and time-series incubation samples. The analyzer consists of a solid state infrared CO2 detector, a mass-flow controller, and a digital pump for transferring accurate amounts of reagent and sample. The analyzer uses an electronic cooling system to keep the reactor temperature below 3 degrees Celsius, and a Nafion dry tube to reduce the water vapour and keep the analyzer drift-free and maintenance-free for longer. The analyzer can handle sample volumes from 0.1 - 1.5 milliliters, however the best results are obtained from sample volumes between 0.5 - 1 milliliters. It takes approximately 3 minutes per analysis, and measurement precision is plus or minus 2 micromoles per kilogram or higher for surface seawater. It is designed for both land based and shipboard laboratory use. LI-COR LI-7000 LI-COR LI-7000 PI Supplied Instrument Name: LI-COR LI-7000 PI Supplied Instrument Description:DIC concentrations were measured on an Apollo SciTech AS-C3 analyzer coupled to a LI-COR LI-7000 infrared gas analyzer.  Instrument Name: LI-COR LI-7000 Gas Analyzer Instrument Short Name:LI-COR LI-7000 Instrument Description: The LI-7000 gas analyzer is a differential, single source, non-dispersive, infrared gas analyzer. It has two solid state detectors, one each for CO2 and H2O, filters at 4.255 microns and 2.595 microns respectively. CO2 is measured in the range 0-3000ppm, with an accuracy of 1 percent nominally. H2O is measured in the range 0-60 mmol per mol, with an accuracy of one 1 percent. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/382/ Costech 4010 CHN Analyzer Costech 4010 CHN Analyzer PI Supplied Instrument Name: Costech 4010 CHN Analyzer PI Supplied Instrument Description:POC concentrations after June 2019 were measured on a Costech 4010 CHN analyzer. Instrument Name: Particulate Organic Carbon/Nitrogen Analyzer Instrument Short Name:CHN Instrument Description: A unit that accurately determines the carbon and nitrogen concentrations of organic compounds typically by detecting and measuring their combustion products (CO2 and NO). Thermo 1110 CHN Analyzer Thermo 1110 CHN Analyzer PI Supplied Instrument Name: Thermo 1110 CHN Analyzer PI Supplied Instrument Description:POC concentrations through June 2019 were measured on a Thermo 1110 CHN analyzer. Instrument Name: Particulate Organic Carbon/Nitrogen Analyzer Instrument Short Name:CHN Instrument Description: A unit that accurately determines the carbon and nitrogen concentrations of organic compounds typically by detecting and measuring their combustion products (CO2 and NO). Shimadzu TOC-V organic carbon Shimadzu TOC-V organic carbon PI Supplied Instrument Name: Shimadzu TOC-V organic carbon PI Supplied Instrument Description:DOC concentrations were measured on a Shimadzu TOC-V organic carbon analyzer.  Instrument Name: Shimadzu TOC-V Analyzer Instrument Short Name:Shimadzu TOC-V Instrument Description: A Shimadzu TOC-V Analyzer measures DOC by high temperature combustion method. Community Standard Description: http://onto.nerc.ac.uk/CAST/124 YSI EXO2 YSI EXO2 PI Supplied Instrument Name: YSI EXO2 PI Supplied Instrument Description:Water temperature and salinity were measured with a YSI EXO2 datasonde.  Instrument Name: YSI EXO multiparameter water quality sondes Instrument Short Name:YSI EXO Instrument Description: Comprehensive multi-parameter, water-quality monitoring sondes designed for long-term monitoring, profiling and spot sampling. The EXO sondes are split into several categories: EXO1 Sonde, EXO2 Sonde, EXO3 Sonde. Each category has a slightly different design purpose with the EXO2 and EXO3 containing more sensor ports than the EXO1. Data are collected using up to four user-replaceable sensors and an integral pressure transducer. Users communicate with the sonde via a field cable to an EXO Handheld, via Bluetooth wireless connection to a PC, or a USB connection to a PC. Typical parameter specifications for relevant sensors include dissolved oxygen with ranges of 0-50 mg/l, with a resolution of +/- 0.1 mg/l, an accuracy of 1 percent of reading for values between 0-20 mg/l and an accuracy of +/- 5 percent of reading for values 20-50 mg/l. Temp ranges are from-5 to +50 degC, with an accuracy of +/- 0.001 degC. Conductivity has a range of 0-200 mS/cm, with an accuracy of +/-0.5 percent of reading + 0.001 mS/cm and a resolution of 0.0001 - 0.01 mS/cm.