Maloney
Ashley E.
Maloney
Ashley E.
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DatasetSinking particle from R/V Kilo Moana cruise KM1910 in June 2019(Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2021-08-24) Church, Matthew J. ; Maloney, Ashley ; Subhas, Adam V. ; Black, Erin ; Kenyon, Jennifer ; White, Angelicque E. ; Goetze, Erica ; Ferron, SaraPhosphorus, carbon (total and organic), and nitrogen flux and bulk isotope composition (C and N) from 3-day pit trap deployments in June 2019 at station ALOHA during cruise KM1910. 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/852779
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DatasetParticulate phosphate, particulate carbon, particulate nitrogen, particulate bulk isotope composition (C and N), and dissolved oxygen from Niskin bottle samples collected on R/V Kilo Moana cruise KM1910 in June 2019(Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2021-06-08) Church, Matthew J. ; White, Angelicque E. ; Goetze, Erica ; Ferron, Sara ; Maloney, AshleyParticulate phosphate, particulate carbon, particulate nitrogen, particulate bulk isotope composition (C and N), and dissolved oxygen, collected with Niskin bottles during CTD deployments in June 2019 at station ALOHA during cruise KM1910. 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/852179
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DatasetSuspended particles from ship’s surface intake samples collected on R/V Kilo Moana cruise KM1910 in June 2019(Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2021-06-08) Maloney, Ashley ; Church, Matthew J. ; White, Angelicque E. ; Goetze, Erica ; Ferron, SaraSurface particulate carbon concentration, nitrogen concentration, and bulk isotope composition (C and N) from underway clean water intake during June 2019 at station ALOHA during cruise KM1910. Suspended particulates were collected while underway using the ship's clean surface water intake ( ~0 to 5 m ocean depth) in the hydro lab sink aboard RV Kilo Moana. 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/852242
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DatasetSuspended particles from in situ pumps on R/V Kilo Moana cruise KM1910 in June 2019(Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2021-08-24) Black, Erin ; Maloney, Ashley ; Subhas, Adam V. ; Kenyon, Jennifer ; Church, Matthew J. ; White, Angelicque E. ; Goetze, Erica ; Ferron, SaraSuspended particulate total carbon concentration, organic carbon concentration, inorganic carbon concentration, nitrogen concentration, and bulk isotope composition (C and N) from in situ McLane pumps in June 2019 at station ALOHA during cruise KM1910. 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/853048
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ArticleRecommendations for advancing mixoplankton research through empirical-model integration(Frontiers Media, 2024-06-05) Millette, Nicole C. ; Leles, Suzana G. ; Johnson, Matthew D. ; Maloney, Ashley E. ; Brownlee, Emily F. ; Cohen, Natalie R. ; Duhamel, Solange ; Poulton, Nicole J. ; Princiotta, Sarah D. ; Stamieszkin, Karen ; Wilken, Susanne ; Moeller, Holly V.Protist plankton can be divided into three main groups: phytoplankton, zooplankton, and mixoplankton. In situ methods for studying phytoplankton and zooplankton are relatively straightforward since they generally target chlorophyll/photosynthesis or grazing activity, while the integration of both processes within a single cell makes mixoplankton inherently challenging to study. As a result, we understand less about mixoplankton physiology and their role in food webs, biogeochemical cycling, and ecosystems compared to phytoplankton and zooplankton. In this paper, we posit that by merging conventional techniques, such as microscopy and physiological data, with innovative methods like in situ single-cell sorting and omics datasets, in conjunction with a diverse array of modeling approaches ranging from single-cell modeling to comprehensive Earth system models, we can propel mixoplankton research into the forefront of aquatic ecology. We present eight crucial research questions pertaining to mixoplankton and mixotrophy, and briefly outline a combination of existing methods and models that can be used to address each question. Our intent is to encourage more interdisciplinary research on mixoplankton, thereby expanding the scope of data acquisition and knowledge accumulation for this understudied yet critical component of aquatic ecosystems.