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  • Bacteria
  • Microplastics
  • Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu  (7)
  • American Chemical Society
  • American Chemical Society (ACS)
  • 1
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    Flow-through quantification of microplastics using impedance spectroscopy (2021)
    American Chemical Society
    Details
    Publication Date: 2022-10-21
    Description: © The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Colson, B. C., & Michel, A. P. M. Flow-through quantification of microplastics using impedance spectroscopy. ACS Sensors, 6(1), (2021): 238–244, doi:10.1021/acssensors.0c02223.
    Description: Understanding the sources, impacts, and fate of microplastics in the environment is critical for assessing the potential risks of these anthropogenic particles. However, our ability to quantify and identify microplastics in aquatic ecosystems is limited by the lack of rapid techniques that do not require visual sorting or preprocessing. Here, we demonstrate the use of impedance spectroscopy for high-throughput flow-through microplastic quantification, with the goal of rapid measurement of microplastic concentration and size. Impedance spectroscopy characterizes the electrical properties of individual particles directly in the flow of water, allowing for simultaneous sizing and material identification. To demonstrate the technique, spike and recovery experiments were conducted in tap water with 212–1000 μm polyethylene beads in six size ranges and a variety of similarly sized biological materials. Microplastics were reliably detected, sized, and differentiated from biological materials via their electrical properties at an average flow rate of 103 ± 8 mL/min. The recovery rate was ≥90% for microplastics in the 300–1000 μm size range, and the false positive rate for the misidentification of the biological material as plastic was 1%. Impedance spectroscopy allowed for the identification of microplastics directly in water without visual sorting or filtration, demonstrating its use for flow-through sensing.
    Description: The authors thank the Richard Saltonstall Charitable Foundation and the National Academies Keck Futures Initiative (NAKFI DBS13) for their funding support.
    Keywords: Microplastics ; Plastics ; Impedance spectroscopy ; Dielectric properties ; Instrumentation ; Particle detection ; Flow-through ; Environmental sensing
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 2
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    Quantitative PCR data from sediment samples from MPSV GREATSHIP MANISHA IODP-347 cruise in the Baltic Sea in 2013 (IODP-347 Microbial Quantification project) (2016)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2022-10-31
    Description: Dataset: qPCR
    Description: These data include the quantification of specific microbial taxa within the sediments collected during Integrated Ocean Drilling Program (IODP) Expedition 347: Baltic Sea. DNA was extracted from the interior of frozen whole round cores sampled from Little Belt, Anholt Loch, Landsort Deep, and Bornholm Basin at The University of Tennessee. For a more detailed description of drill sites, access the data set, "IODP-347 drill site locations". Primers specifically targeting the 16S rRNA gene of bacteria, archaea, anaerobic methane oxidizers (ANME-1), and Miscellaneous Crenarchaeota Group (MCG; taxonomically reassigned as the Bathyarchaeota phylum of Archaea) were used to assess abundance of these microbial groups. Abundance data was generated using quantitative-PCR (qPCR) and a non-specific, intercalating DNA stain, SYBR Green. Values were compared against a standard curve to generate copies/uL. These data were collected by Alex Shumaker as part of Dr. Karen Lloyd and Dr. Andrew Steen’s project funded by the National Science Foundation entitled, "Quantifying the contribution of the deep biosphere in the marine sediment carbon cycle using deep-sea sediment cores from the Baltic Sea". For a complete list of measurements, refer to the supplemental document 'Field_names.pdf', and a full dataset description is included in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: http://www.bco-dmo.org/dataset/641358
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1431598
    Keywords: qPCR ; Bacteria ; Archaea ; Baltic Sea ; Marine sediment
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 3
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    Proteins identified from the black smoker chimney Inferno hydrothermal vent plume meta-proteome - replicate Av1 - on the Axial seamount off the coast of Washington in 2011. (2016)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2022-10-31
    Description: Dataset: Inferno vent plume proteins-Av1
    Description: Proteins identified from the black smoker chimney Inferno hydrothermal vent plume waters at Axial Seamount, an active volcano along the Juan de Fuca Ridge spreading center, were identified using tandem mass spectrometry (MS/MS). These data are reported as Supplementary Table 3 and discussed in the on-line publication “Sulfur oxidizers dominate carbon fixation at a biogeochemical hot spot in the dark ocean” by Mattes, et al., 2013. doi for that publication: 10.1038/ismej.2013.113. This is the first of two replicate datasets. For a complete list of measurements, refer to the supplemental document 'Field_names.pdf', and a full dataset description is included in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: http://www.bco-dmo.org/dataset/627835
    Description: NSF Ocean Sciences (NSF OCE) OCE-1232840
    Keywords: Bacteria ; Proteomics ; Hydrothermal
    Repository Name: Woods Hole Open Access Server
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  • 4
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    Biogeochemical and microbial field surveys from the BATS site, Bermuda from R/V Atlantic Explorer cruises from 2009-2013 (Ocean Microbial Observatory project) (2020)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2022-10-31
    Description: Dataset: MO - biogeochemical and microbial field surveys
    Description: Biogeochemical and microbial field surveys from the BATS site, Bermuda from R/V Atlantic Explorer cruises from 2009-2013. This dataset includes water samples collected from 2009-2013 at the Bermuda Hydrostation that were analyzed for DOC, POC, bacterial abundance, leucine, and thymidine incorporation. 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/543314
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0802004
    Keywords: Hydrography ; Bacteria ; Organic matter ; Sargasso Sea
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 5
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    Transcriptome data for bacteria collected eight hours after individual inoculation into a diatom Thalassiosira psuedonana culture (2020)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2022-10-31
    Description: Dataset: Diatom Matrix RNAseq
    Description: Transcriptome data for bacteria Ruegeria pomeroyi DSS-3, Stenotrophomonas sp. SKA14, Polaribacter dokdonensis MED152, and Dokdonia MED134 collected eight hours after individual inoculation into a diatom Thalassiosira psuedonana culture. The sequence data description for PRHNA448168 is at https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA448168. 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/818765
    Description: NSF Division of Integrative Organismal Systems (NSF IOS) IOS-1656311
    Keywords: Phytoplankton ; Bacteria ; Co-cultures ; Transcriptomes ; RNAseq
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 6
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    Phytoplankton and bacteria abundance from flow cytometry from samples collected in the Gulf of Mexico on R/V Nancy Foster cruises NF1704 and NF1802 in May 2017 and May 2018 (2021)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2022-10-31
    Description: Dataset: BLOOFINZ-GoM flow cytometry abundance
    Description: Phytoplankton and bacteria abundance from flow cytometry from samples collected in the Gulf of Mexico on R/V Nancy Foster cruises NF1704 and NF1802 in May 2017 and May 2018 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/835414
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1851558, National Oceanic and Atmospheric Administration (NOAA) NA16NMF4320058
    Keywords: Phytoplankton ; Bacteria ; Prochlorococcus ; Synechococcus ; Gulf of Mexico
    Repository Name: Woods Hole Open Access Server
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  • 7
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    Coral associated microbes on coral, sediment and water sampled from coral reefs in Mo'orea, French Polynesia in 2017 and 2018 (2021)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2022-10-31
    Description: Dataset: Coral Associated Microbes on Mo'orean Coral Reefs
    Description: Three species of coral, plus water and sediment, were sampled at 21 sites around the island of Mo’orea, French Polynesia during the dry and rainy seasons in 2017 and 2018. Coral associated microbes (bacteria and archaea) were investigated and their community composition characterized through sequencing of the 16S rRNA gene. 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/845039
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1635798, NSF Division of Ocean Sciences (NSF OCE) OCE-1635913
    Keywords: Bacteria ; Archaea ; Moorea Coral Reef LTER ; Holobiont ; Microbiome ; Earth Microbiome Project
    Repository Name: Woods Hole Open Access Server
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  • 8
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    CTD Depth Profile Cast Data for the InVirT-2019-BATS (Bermuda Atlantic Time Series) project taken in the on board of the R/V Atlantic Explorer AE1926 in 2019. (2021)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2022-10-31
    Description: Dataset: CTD Profile Casts
    Description: CTD Depth Profile Cast Data for the InVirT-2019-BATS (Bermuda Atlantic Time Series) project taken in the on board of the R/V Atlantic Explorer AE1926 in 2019. 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/835593
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829636
    Keywords: Bermuda Atlantic Time Series ; BATS ; Virus ; Phage ; Metatranscriptomics ; Bacteria ; Diel ; Sargasso Sea
    Repository Name: Woods Hole Open Access Server
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  • 9
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    Production of two highly abundant 2-methyl-branched fatty acids by blooms of the globally significant marine cyanobacteria Trichodesmium erythraeum (2021)
    American Chemical Society
    Details
    Publication Date: 2022-05-27
    Description: © The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Gosselin, K. M., Nelson, R. K., Spivak, A. C., Sylva, S. P., Van Mooy, B. A. S., Aeppli, C., Sharpless, C. M., O’Neil, G. W., Arrington, E. C., Reddy, C. M., & Valentine, D. L. Production of two highly abundant 2-methyl-branched fatty acids by blooms of the globally significant marine cyanobacteria Trichodesmium erythraeum. ACS Omega, 6(35), (2021): 22803–22810, https://doi.org/10.1021/acsomega.1c03196.
    Description: The bloom-forming cyanobacteria Trichodesmium contribute up to 30% to the total fixed nitrogen in the global oceans and thereby drive substantial productivity. On an expedition in the Gulf of Mexico, we observed and sampled surface slicks, some of which included dense blooms of Trichodesmium erythraeum. These bloom samples contained abundant and atypical free fatty acids, identified here as 2-methyldecanoic acid and 2-methyldodecanoic acid. The high abundance and unusual branching pattern of these compounds suggest that they may play a specific role in this globally important organism.
    Description: This work was funded with grants from the National Science Foundation grants OCE-1333148, OCE-1333162, and OCE-1756254 and the Woods Hole Oceanographic Institution (IR&D). GCxGC analysis made possible by WHOI’s Investment in Science Fund.
    Keywords: Lipids ; Alkyls ; Bacteria ; Genetics ; Chromatography
    Repository Name: Woods Hole Open Access Server
    Type: Article
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