Muratore Daniel

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Last Name
Muratore
First Name
Daniel
ORCID
0000-0001-6328-9663

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  • Dataset
    ADCP surface current velocities and directions from R/V Atlantic Explorer cruise AE2207 to the Bermuda Atlantic Time Series (BATS) station in April 2022
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2022-07-21) Muratore, Daniel ; Wilhelm, Steven W. ; Sullivan, Matthew ; Weitz, Joshua
    This dataset was gathered from ADCP for surface current velocities and directions with ship position, time, and surface temperature along with some derived variables useful for plotting. Data are from R/V Atlantic Explorer cruise AE2207 to the Bermuda Atlantic Time Series (BATS) station in April 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/877170
  • Dataset
    ADCP current depth profiles from R/V Atlantic Explorer cruise AE2207 to the Bermuda Atlantic Time Series (BATS) station in April 2022
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2022-07-21) Muratore, Daniel ; Wilhelm, Steven W. ; Sullivan, Matthew ; Weitz, Joshua
    This dataset was gathered from ADCP for depth profiles of current velocities with ship position, time, and includes some derived variables useful for plotting. Data are from R/V Atlantic Explorer cruise AE2207 to the Bermuda Atlantic Time Series (BATS) station in April 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/877146
  • Dataset
    Processed CTD data with thermodynamic calculations from R/V Atlantic Explorer cruise AE2207 to the Bermuda Atlantic Time Series (BATS) station in April 2022
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2022-07-21) Muratore, Daniel ; Wilhelm, Steven W. ; Sullivan, Matthew ; Weitz, Joshua
    This dataset includes CTD data from R/V Atlantic Explorer cruise AE2207 to the Bermuda Atlantic Time Series (BATS) station in April 2022. The CTD data were processed, binned, and smoothed, and derived variables from thermodynamic calculations were generated. 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/877100
  • Article
    A primer for microbiome time-series analysis
    (Frontiers Media, 2020-04-21) Coenen, Ashley R. ; Hu, Sarah K. ; Luo, Elaine ; Muratore, Daniel ; Weitz, Joshua S.
    Time-series can provide critical insights into the structure and function of microbial communities. The analysis of temporal data warrants statistical considerations, distinct from comparative microbiome studies, to address ecological questions. This primer identifies unique challenges and approaches for analyzing microbiome time-series. In doing so, we focus on (1) identifying compositionally similar samples, (2) inferring putative interactions among populations, and (3) detecting periodic signals. We connect theory, code and data via a series of hands-on modules with a motivating biological question centered on marine microbial ecology. The topics of the modules include characterizing shifts in community structure and activity, identifying expression levels with a diel periodic signal, and identifying putative interactions within a complex community. Modules are presented as self-contained, open-access, interactive tutorials in R and Matlab. Throughout, we highlight statistical considerations for dealing with autocorrelated and compositional data, with an eye to improving the robustness of inferences from microbiome time-series. In doing so, we hope that this primer helps to broaden the use of time-series analytic methods within the microbial ecology research community.
  • Dataset
    CTD data from R/V Atlantic Explorer cruise AE2207 to the Bermuda Atlantic Time Series (BATS) station in April 2022
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2022-07-21) Muratore, Daniel ; Wilhelm, Steven W. ; Sullivan, Matthew ; Weitz, Joshua
    This dataset includes CTD data from R/V Atlantic Explorer cruise AE2207 to the Bermuda Atlantic Time Series (BATS) station in April 2022. The CTD data was processed into .cnv files from cast hex files. Then, the data from the .cnv files were converted and saved as .csv files, with each file containing all scans for all variables contained in the .cnv files. 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/877011
  • Article
    Disentangling top-down drivers of mortality underlying diel population dynamics of Prochlorococcus in the North Pacific Subtropical Gyre
    (Nature Research, 2024-03-07) Beckett, Stephen J. ; Demory, David ; Coenen, Ashley R. ; Casey, John R. ; Dugenne, Mathilde ; Follett, Christopher L. ; Connell, Paige ; Carlson, Michael C. G. ; Hu, Sarah K. ; Wilson, Samuel T. ; Muratore, Daniel ; Rodriguez-Gonzalez, Rogelio A. ; Peng, Shengyun ; Becker, Kevin W. ; Mende, Daniel R. ; Armbrust, E. Virginia ; Caron, David A. ; Lindell, Debbie ; White, Angelicque E. ; Ribalet, Francois ; Weitz, Joshua S.
    Photosynthesis fuels primary production at the base of marine food webs. Yet, in many surface ocean ecosystems, diel-driven primary production is tightly coupled to daily loss. This tight coupling raises the question: which top-down drivers predominate in maintaining persistently stable picocyanobacterial populations over longer time scales? Motivated by high-frequency surface water measurements taken in the North Pacific Subtropical Gyre (NPSG), we developed multitrophic models to investigate bottom-up and top-down mechanisms underlying the balanced control of Prochlorococcus populations. We find that incorporating photosynthetic growth with viral- and predator-induced mortality is sufficient to recapitulate daily oscillations of Prochlorococcus abundances with baseline community abundances. In doing so, we infer that grazers in this environment function as the predominant top-down factor despite high standing viral particle densities. The model-data fits also reveal the ecological relevance of light-dependent viral traits and non-canonical factors to cellular loss. Finally, we leverage sensitivity analyses to demonstrate how variation in life history traits across distinct oceanic contexts, including variation in viral adsorption and grazer clearance rates, can transform the quantitative and even qualitative importance of top-down controls in shaping Prochlorococcus population dynamics.