http://lod.bco-dmo.org/id/dataset/839090 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 2021-01-28 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Seawater chemistry and benthic metabolic rates as a function of coral cover from a mesocosm experiment conducted at the Bermuda Institute of Ocean Sciences in August 2012 2021-01-28 publication 2021-01-28 revision BCO-DMO Linked Data URI 2021-01-28 creation http://lod.bco-dmo.org/id/dataset/839090 Andreas Andersson University of California-San Diego Scripps 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: Page, H., Andersson, A. (2021) Seawater chemistry and benthic metabolic rates as a function of coral cover from a mesocosm experiment conducted at the Bermuda Institute of Ocean Sciences in August 2012. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-01-28 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/839090 [access date] Benthic metabolism vs coral cover - Bermuda Dataset Description: Methods and Sampling: &lt;p&gt;&lt;strong&gt;General study design:&lt;/strong&gt;&lt;br /&gt; Coral communities with different benthic cover (0, 40, 80%) were created in flow-through mesocosms exposed to natural environmental variations. The experiment was designed to examine how benthic metabolism influence diurnal seawater carbonate chemistry and how this scales with varying coral cover. The experiment was conducted at the Bermuda Institute of Ocean Sciences (BIOS).&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Methods description:&lt;/strong&gt;&lt;br /&gt; Coral communities with planar surface area ranging from 0, 40 and 80 percent were created within flow-through mesocosms. Diurnal seawater chemistry was measured for communities during August 2012 by taking hourly water measurements (T, S, DO_sat, DO_conc, and pH) and collecting water samples for dissolved inorganic carbon (DIC) and total alkalinity (TA) every 3 hours over 24-hour time periods. Seawater chemistry data were used to calculate diurnal net community production (NCP) and net community calcification (NCC) rates using modified standard equations (Langdon et al. 2010).&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Analytical Methods:&lt;/strong&gt;&lt;br /&gt; Seawater samples were collected by hand using 250 ml Pyrex glass bottles and fixed with 100 µL HgCl2 as per standard protocols (Dickson et al. 2007). Handheld YSI multi-meter instrument was used to measure temperature, salinity, dissolved oxygen, and pH at the time of sampling. All seawater samples were transported to the Scripps Coastal and Open Ocean Biogeochemistry lab and analyzed for TA via an open-cell potentiometric acid titration system developed at Scripps Institution of Oceanography (SIO) by A. Dickson (Dickson et al. 2007) and DIC via an automated infra-red inorganic carbon analyzer (AIRICA, Marianda Inc).&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Quality Control:&lt;/strong&gt;&lt;br /&gt; Standard protocols were followed for sampling and analysis of seawater TA and DIC (Dickson et al. 2007). YSI multi-meter instrument was calibrated prior to each sampling period with accuracies of 0.15 °C for temperature, 1% for salinity, ±2% for dissolved oxygen saturation, 0.2 mg/L for dissolved oxygen concentration, and 0.2 for pH. The accuracy and precision of TA (-0.85 ± 1.51 μmol/kg) and DIC (1.45 ± 2.62 μmol/kg) measurements were evaluated using certified reference materials (CRM) provided by the laboratory of A. Dickson at SIO and analyzed every 5 samples for DIC and ~15-20 samples for TA.&lt;/p&gt; &lt;p&gt;For additional information please see Page et al. (2017).&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Known Problems:&lt;/strong&gt;&lt;br /&gt; A few samples were lost during transit due to broken bottles. Additionally, a few DIC and TA data points did not pass QAQC and therefore were omitted.&lt;/p&gt; Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1255042 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1255042 onGoing Andreas Andersson University of California-San Diego Scripps 858-822-2486 Scripps Institution of Oceanography 9500 Gilman Dr. #0244 La Jolla CA 92093-0244 USA aandersson@ucsd.edu pointOfContact asNeeded Dataset Version: 1 Unknown Date Time ISO_DateTime_UTC MesocosmID Treatment Temp Salinity DO_sat DO_conc pH_ysi PAR_air PAR_sw DIC TA pH_calc pCO2_calc omega_calc NCC NCP AIRICA (Marianda Inc.) Open-cell potentiometric acid titration system YSI 556 Handheld Multiprobe Sensor theme None, User defined date time of day ISO_DateTime_UTC tank treatment water temperature at measurement depth salinity O2 saturation dissolved Oxygen pH PAR dissolved inorganic Carbon total alkalinity (TA) Partial pressure of CO2 Aragonite Saturation State calcification primary production featureType BCO-DMO Standard Parameters Inorganic Carbon Analyzer Titrator Water Quality Multiprobe 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. CAREER: Biogeochemical Modification of Seawater CO2 Chemistry in Near-Shore Environments: Effect of Ocean Acidification https://osprey.bco-dmo.org/project/737878 CAREER: Biogeochemical Modification of Seawater CO2 Chemistry in Near-Shore Environments: Effect of Ocean Acidification <p><em>NSF Award Abstract:</em><br /> Because of well-known chemical principles, changes in the CO2 chemistry of seawater in the open ocean as a result of rising atmospheric CO2 can be predicted very accurately. On the other hand, in near-shore environments, these projections are much more difficult because the CO2 chemistry is largely modified by biogeochemical processes operating on timescales of hours to months. To make predictions on how near-shore seawater CO2 chemistry will change in response to ocean acidification (OA), it is critical to consider the relative influence of net ecosystem production (NEP) and net ecosystem calcification (NEC), and how these processes might change in response to this major perturbation. Understanding how future OA will alter near-shore seawater CO2 chemistry and variability was identified as a major critical knowledge gap at the recent IPCC WG II/WG I workshop on impacts of ocean acidification on marine biology and ecosystems in January of 2011, and also at the International Ocean Acidification Network workshop in Seattle in June of 2012.</p> <p>With funding from this CAREER award, a researcher at the Scripps Institute of Oceanography and his students will study how biogeochemical processes and the relative contributions from NEP and NEC modify seawater CO2 chemistry in near-shore environments influenced by different benthic communities under well-characterized environmental and physical conditions, and how these processes might change in response to OA. The team will investigate a limited number of contrasting habitats in subtropical (reef crest, back/patch reef, lagoon, seagrass bed, algal mat) and temperate (kelp bed, inter- and sub-tidal, marsh) environments during summer and winter, employing a method that evaluates the function and performance of the carbon cycle of a system using a stoichiometric vector approach based on changes in total dissolved inorganic carbon (DIC) and total alkalinity (TA). These field studies will be complemented by controlled mesocosm experiments with contrasting and mixed benthic communities under different OA scenarios.</p> <p>The project has two educational components: (1) developing a research-driven OA and biogeochemistry course based on inquiry-, experience-, and collaborative-based learning; and (2) working with the Ocean Discovery Institute (ODI) to engage individuals from a local underrepresented minority community in science through educational activities focused on OA, and also providing a moderate number of internships for high school and college students to engage in this research project.</p> <p>Broader Impacts: This project will directly support one PhD student, one junior research technician, and two high school and college interns from underrepresented minorities (URM) each summer of the project. It will contribute to the education of 80 undergraduate and graduate students participating in the research based ocean acidification/biogeochemistry course offered four times throughout the duration of the project at SIO/UCSD. Education and curricular material on the topics of OA, including hands-on laboratories, classroom and field-based activities will be developed through the collaboration with the ODI and brought to hundreds of URM students and their teachers in the City Heights area, a community with the highest poverty and ethnic diversity in the San Diego region. This collaboration will enable URM students to directly engage in a rapidly evolving field of research that has high relevance at both the local and global scales. To ensure broad dissemination of this project and the topic of OA, the research team will work with the Google Ocean team to incorporate information and educational material in the Google Ocean Explorer.</p> Nearshore CO2 largerWorkCitation project eng; USA oceans -64.696097 -64.696097 32.537019 32.537019 2012-08-29 2012-08-30 San Diego, California; Bermuda; Oahu, Hawaii 0 BCO-DMO catalogue of parameters from Seawater chemistry and benthic metabolic rates as a function of coral cover from a mesocosm experiment conducted at the Bermuda Institute of Ocean Sciences in August 2012 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/839106.rdf Name: Date Units: unitless Description: <p>Date of measurements (local time; AST); format: DD-MM-YY</p> http://lod.bco-dmo.org/id/dataset-parameter/839107.rdf Name: Time Units: unitless Description: <p>Time of measurements (local time; AST); format: hh:mm</p> http://lod.bco-dmo.org/id/dataset-parameter/839108.rdf Name: ISO_DateTime_UTC Units: unitless Description: <p>Date and time of measurements (UTC) in ISO8601 format: YYYY-MM-DDThh:mmZ</p> http://lod.bco-dmo.org/id/dataset-parameter/839109.rdf Name: MesocosmID Units: unitless Description: <p>Mesocosm identification</p> http://lod.bco-dmo.org/id/dataset-parameter/839110.rdf Name: Treatment Units: unitless Description: <p>Each mesocosm acted as inflow or contained a coral community. 0 = 0% coral cover (i.e., control); 40 = 40% coral cover; 80 = 80% coral cover.</p> http://lod.bco-dmo.org/id/dataset-parameter/839111.rdf Name: Temp Units: degrees Celsius Description: <p>Temperature</p> http://lod.bco-dmo.org/id/dataset-parameter/839112.rdf Name: Salinity Units: unitless Description: <p>Salinity</p> http://lod.bco-dmo.org/id/dataset-parameter/839113.rdf Name: DO_sat Units: unitless (percent) Description: <p>dissolved oxygen percent saturation</p> http://lod.bco-dmo.org/id/dataset-parameter/839114.rdf Name: DO_conc Units: milligrams per liter (mg/L) Description: <p>dissolved oxygen concentration</p> http://lod.bco-dmo.org/id/dataset-parameter/839115.rdf Name: pH_ysi Units: unitless Description: <p>pH</p> http://lod.bco-dmo.org/id/dataset-parameter/839116.rdf Name: PAR_air Units: ? Description: <p>PAR</p> http://lod.bco-dmo.org/id/dataset-parameter/839117.rdf Name: PAR_sw Units: ? Description: <p>PAR</p> http://lod.bco-dmo.org/id/dataset-parameter/839118.rdf Name: DIC Units: micromoles per kilogram (umol/Kg) Description: <p>dissolved inorganic carbon</p> http://lod.bco-dmo.org/id/dataset-parameter/839119.rdf Name: TA Units: micromoles per kilogram (umol/Kg) Description: <p>total alkalinity</p> http://lod.bco-dmo.org/id/dataset-parameter/839120.rdf Name: pH_calc Units: unitless Description: <p>pH (total scale) calculated from in situ temperature, salinity, TA, and DIC</p> http://lod.bco-dmo.org/id/dataset-parameter/839121.rdf Name: pCO2_calc Units: microatmospheres (uatm) Description: <p>pCO2 calculated from in situ temperature, salinity, TA, and DIC</p> http://lod.bco-dmo.org/id/dataset-parameter/839122.rdf Name: omega_calc Units: unitless Description: <p>Seawater saturation state with respect to aragonite calculated from in situ temperature, salinity, TA, and DIC</p> http://lod.bco-dmo.org/id/dataset-parameter/839123.rdf Name: NCC Units: millimoles per square meter per hour (mmol/m^2/h) Description: <p>Net community calcification rate</p> http://lod.bco-dmo.org/id/dataset-parameter/839124.rdf Name: NCP Units: millimoles per square meter per hour (mmol/m^2/h) Description: <p>Net community primary production rate</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://osprey.bco-dmo.org/dataset/839090/data/download download onLine dataset &lt;p&gt;&lt;strong&gt;General study design:&lt;/strong&gt;&lt;br /&gt; Coral communities with different benthic cover (0, 40, 80%) were created in flow-through mesocosms exposed to natural environmental variations. The experiment was designed to examine how benthic metabolism influence diurnal seawater carbonate chemistry and how this scales with varying coral cover. The experiment was conducted at the Bermuda Institute of Ocean Sciences (BIOS).&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Methods description:&lt;/strong&gt;&lt;br /&gt; Coral communities with planar surface area ranging from 0, 40 and 80 percent were created within flow-through mesocosms. Diurnal seawater chemistry was measured for communities during August 2012 by taking hourly water measurements (T, S, DO_sat, DO_conc, and pH) and collecting water samples for dissolved inorganic carbon (DIC) and total alkalinity (TA) every 3 hours over 24-hour time periods. Seawater chemistry data were used to calculate diurnal net community production (NCP) and net community calcification (NCC) rates using modified standard equations (Langdon et al. 2010).&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Analytical Methods:&lt;/strong&gt;&lt;br /&gt; Seawater samples were collected by hand using 250 ml Pyrex glass bottles and fixed with 100 µL HgCl2 as per standard protocols (Dickson et al. 2007). Handheld YSI multi-meter instrument was used to measure temperature, salinity, dissolved oxygen, and pH at the time of sampling. All seawater samples were transported to the Scripps Coastal and Open Ocean Biogeochemistry lab and analyzed for TA via an open-cell potentiometric acid titration system developed at Scripps Institution of Oceanography (SIO) by A. Dickson (Dickson et al. 2007) and DIC via an automated infra-red inorganic carbon analyzer (AIRICA, Marianda Inc).&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Quality Control:&lt;/strong&gt;&lt;br /&gt; Standard protocols were followed for sampling and analysis of seawater TA and DIC (Dickson et al. 2007). YSI multi-meter instrument was calibrated prior to each sampling period with accuracies of 0.15 °C for temperature, 1% for salinity, ±2% for dissolved oxygen saturation, 0.2 mg/L for dissolved oxygen concentration, and 0.2 for pH. The accuracy and precision of TA (-0.85 ± 1.51 μmol/kg) and DIC (1.45 ± 2.62 μmol/kg) measurements were evaluated using certified reference materials (CRM) provided by the laboratory of A. Dickson at SIO and analyzed every 5 samples for DIC and ~15-20 samples for TA.&lt;/p&gt; &lt;p&gt;For additional information please see Page et al. (2017).&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Known Problems:&lt;/strong&gt;&lt;br /&gt; A few samples were lost during transit due to broken bottles. Additionally, a few DIC and TA data points did not pass QAQC and therefore were omitted.&lt;/p&gt; Specified by the Principal Investigator(s) &lt;p&gt;&lt;strong&gt;Data Processing:&lt;/strong&gt;&lt;br /&gt; Carbonate chemistry (pH_calc, pCO2_calc, and omega_calc) was constrained using CO2SYS software (Lewis and Wallace 1998). Data were processed and statistically compared using R Software (v 3.2.0).&lt;/p&gt; &lt;p&gt;&lt;strong&gt;BCO-DMO Processing:&lt;/strong&gt;&lt;br /&gt; - added UTC date/time field in ISO8601 format.&lt;/p&gt; Specified by the Principal Investigator(s) 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 AIRICA (Marianda Inc.) AIRICA (Marianda Inc.) PI Supplied Instrument Name: AIRICA (Marianda Inc.) PI Supplied Instrument Description:The Automated Infra Red Inorganic Carbon Analyzer (AIRICA) utilizes infrared detection of CO2 gas purged from an acidified seawater sample. A high-precision syringe pump extracts the seawater sample, acidifies the sample with phosphoric acid, and analyzes the gas released with an infrared light analyzer (LICOR). The CO2 signal is integrated for each sample to quantify the total inorganic carbon for a given aliquot of seawater analyzed. Three aliquots and peak integrations are performed for each seawater sample and averaged to determine the dissolved inorganic carbon for each sample. Please see http://marianda.com/index.php?site=products&subsite=airica for a complete instrument description. Instrument Name: Inorganic Carbon Analyzer Instrument Short Name: Instrument Description: Instruments measuring carbonate in sediments and inorganic carbon (including DIC) in the water column. Open-cell potentiometric acid titration system Open-cell potentiometric acid titration system PI Supplied Instrument Name: Open-cell potentiometric acid titration system PI Supplied Instrument Description:The open-cell potentiometric acid titration system was developed by the laboratory of A.G. Dickson. Briefly, a known amount of seawater is added to an open cell beaker where hydrochloric acid as acidified to a pH of 3.5-4.0 and allowed to stabilize to remove CO2 gas formed by the addition of acid. Small aliquots of hydrochloric acid are then added to pH of ~ 3.0. The titration is monitored by a glass electrode and the total alkalinity of the sample is calculated using a non-linear least-squares method following Dickson et al. (2007). Instrument Name: Titrator Instrument Short Name:Titrator Instrument Description: Titrators are instruments that incrementally add quantified aliquots of a reagent to a sample until the end-point of a chemical reaction is reached. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB12/ YSI 556 Handheld Multiprobe Sensor YSI 556 Handheld Multiprobe Sensor PI Supplied Instrument Name: YSI 556 Handheld Multiprobe Sensor PI Supplied Instrument Description:A YSI was used to monitor in situ temperature (accuracy ± 0.15°C), salinity (accuracy ± 1%), DO_mg (accuracy ± 0.2 mg/L), and DO_% (accuracy ± 2%), and pH (accuracy ± 0.2). Instrument Name: Water Quality Multiprobe Instrument Short Name:Water Quality Multiprobe Instrument Description: An instrument which measures multiple water quality parameters based on the sensor configuration.