Martz Todd R.

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Martz
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Todd R.
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  • Dataset
    Benthic Ecosystem and Acidification Measuring System (BEAMS) data from two Bermuda sites collected during 2015 (BEAMS project)
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2020-01-14) Takeshita, Yuichiro ; Martz, Todd R. ; McGillis, Wade ; Price, Nichole N. ; Smith, Jennifer
    This dataset was collected using the Benthic Ecosystem and Acidification Measuring System (BEAMS) at Hog Reef and Bailey’s Bay, Bermuda in 2015. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/719743
  • Dataset
    Temperature and salinity by a MicroCAT CTD during an inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions at Scripps Institution of Oceanography in 2016
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2022-03-11) Shangguan, Qipei ; DeGrandpre, Michael ; Martz, Todd R.
    This dataset contains temperature and salinity by a MicroCAT CTD at a 15-min frequency. These data were part of an inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions at Scripps Institution of Oceanography in August of 2016. These data were published in Shangguan et al. (2022). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/870412
  • Dataset
    Bottle sample TA, pH, and DIC collected during an inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions at Scripps Institution of Oceanography in 2016
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2022-03-11) Shangguan, Qipei ; DeGrandpre, Michael ; Martz, Todd R.
    This dataset contains total alkalinity (TA), pH, and dissolved inorganic carbon (DIC) from bottle samples collected 3 to 4 times a day. These data were part of an inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions at Scripps Institution of Oceanography in August of 2016. These data were published in Shangguan et al. (2022). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/870368
  • Dataset
    pH time-series from SAMI-pH and SeapHOx instruments during an inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions at Scripps Institution of Oceanography in 2016
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2022-03-11) Shangguan, Qipei ; DeGrandpre, Michael ; Martz, Todd R.
    This dataset contains pH time series simultaneously recorded by 4 pH sensors. Two of them were SAMI-pH, and the other two were SeapHOx. Data interval was 15 min. These data were part of an inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions at Scripps Institution of Oceanography in August of 2016. These data were published in Shangguan et al. (2022). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/870379
  • Dataset
    A pCO2 time series from a SuperCO2 benchtop instrument during an inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions at Scripps Institution of Oceanography in 2016
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2022-03-11) Shangguan, Qipei ; DeGrandpre, Michael ; Martz, Todd R.
    This dataset contains pCO2 time series recorded by a benchtop instrumentation, SuperCO2. Data was averaged to a 15-min interval. These data were part of an inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions at Scripps Institution of Oceanography in August of 2016. These data were published in Shangguan et al. (2022). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/870401
  • Dataset
    A pCO2 time series from a SAMI-CO2 instrument during an inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions at Scripps Institution of Oceanography in 2016
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2022-03-11) Shangguan, Qipei ; DeGrandpre, Michael ; Martz, Todd R.
    This dataset contains a pCO2 time series from a SAMI-CO2 instrument with a frequency of 15 min. These data were part of an inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions at Scripps Institution of Oceanography in August of 2016. These data were published in Shangguan et al. (2022). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/870390
  • Working Paper
    Building a Community of Biogeochemistry Float Data Users: an OCB and US CLIVAR Report
    (Woods Hole Oceangraphic Institution, 2023-04-04) Riser, Stephen C. ; Fassbender, Andrea J. ; Johnson, Kenneth S. ; Sarmiento, Jorge L. ; Talley, Lynne D. ; Wijffels, Susan E. ; Hotinski, Roberta ; Gray, Alison R. ; Takeshita, Yuichiro ; Nicholson, David P. ; Purkey, Sarah G. ; Martz, Todd R. ; Matsumoto, George I. ; Cullen, Heidi
    The Global Ocean Biogeochemistry (GO-BGC) array is a 5-year effort funded by the US National Science Foundation to produce and deploy 500 profiling floats equipped with biogeochemical sensors in the world ocean. Deployments began in the first quarter of 2021. To inform and engage a broad oceanographic user community, the Ocean Carbon & Biogeochemistry (OCB) and the US Climate Variability and Predictability (CLIVAR) Programs worked with GO-BGC leadership to host a virtual GO-BGC Scientific Workshop from June 28-30, 2021. The objectives of the workshop were to: • Introduce the GO-BGC plan to the global scientific community • Discuss and innovate on scientific applications of GO-BGC data • Provide background information on the flow of data and archiving • Deliver hands-on tutorials and computer code for accessing GO-BGC data Presentations and discussions were scheduled for 3-4 hours on each day using the Zoom platform. Some pre-recorded presentations were available online prior to each day’s events, so that participants could consider discussion items before the meeting. A Slack channel was also created prior to the meeting so that participants could communicate with organizers, presenters, and other attendees during the event.
  • Dataset
    Benthic Ecosystem and Acidification Measuring System (BEAMS) data from two sites on the western terrace of the Palmyra Atoll collected during 2014 (BEAMS project)
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2019-04-17) Takeshita, Yuichiro ; Martz, Todd R. ; McGillis, Wade ; Price, Nichole N. ; Smith, Jennifer
    Benthic Ecosystem and Acidification Measuring System (BEAMS) data from two sites on the western terrace of the Palmyra Atoll collected during 2014 (BEAMS project) For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/666280
  • Dataset
    Total alkalinity from SAMI-alks during an inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions at Scripps Institution of Oceanography in 2016
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2022-03-11) Shangguan, Qipei ; DeGrandpre, Michael ; Martz, Todd R.
    This dataset contains a total alkalinity (TA) time-series measured by three identically designed SAMI-alks (Submersible Autonomous Moored Instrument for Alkalinity). Data was recorded at 1-hour intervals. These data were part of an inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions at Scripps Institution of Oceanography in August of 2016. These data were published in Shangguan et al. (2022). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/870352
  • Article
    Perspectives on Chemical Oceanography in the 21st century : participants of the COME ABOARD Meeting examine aspects of the field in the context of 40 years of DISCO
    (Elsevier, 2017-09-08) Fassbender, Andrea ; Palevsky, Hilary I. ; Martz, Todd R. ; Ingalls, Anitra ; Gledhill, Martha ; Fawcett, Sarah E. ; Brandes, Jay A. ; Aluwihare, Lihini I. ; COME ABOARD ; DISCO XXV
    The questions that chemical oceanographers prioritize over the coming decades, and the methods we use to address these questions, will define our field's contribution to 21st century science. In recognition of this, the U.S. National Science Foundation and National Oceanic and Atmospheric Administration galvanized a community effort (the Chemical Oceanography MEeting: A BOttom-up Approach to Research Directions, or COME ABOARD) to synthesize bottom-up perspectives on selected areas of research in Chemical Oceanography. Representing only a small subset of the community, COME ABOARD participants did not attempt to identify targeted research directions for the field. Instead, we focused on how best to foster diverse research in Chemical Oceanography, placing emphasis on the following themes: strengthening our core chemical skillset; expanding our tools through collaboration with chemists, engineers, and computer scientists; considering new roles for large programs; enhancing interface research through interdisciplinary collaboration; and expanding ocean literacy by engaging with the public. For each theme, COME ABOARD participants reflected on the present state of Chemical Oceanography, where the community hopes to go and why, and actionable pathways to get there. A unifying concept among the discussions was that dissimilar funding structures and metrics of success may be required to accommodate the various levels of readiness and stages of knowledge development found throughout our community. In addition to the science, participants of the concurrent Dissertations Symposium in Chemical Oceanography (DISCO) XXV, a meeting of recent and forthcoming Ph.D. graduates in Chemical Oceanography, provided perspectives on how our field could show leadership in addressing long-standing diversity and early-career challenges that are pervasive throughout science. Here we summarize the COME ABOARD Meeting discussions, providing a synthesis of reflections and perspectives on the field.