Biological and Chemical Oceanography Data Management Office Data Sets

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https://hdl.handle.net/1912/4135

The Biological and Chemical Oceanography Data Management Office (BCO-DMO) was created to serve PIs funded by the NSF Biological and Chemical Oceanography Sections as a location where marine biogeochemical, ecological and oceanographic data and information developed in the course of scientific research can easily be disseminated, protected, and stored on short and intermediate time-frames. Our main objective is to support the scientific community through improved access to ocean science data.

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Now showing 1 - 20 of 3679
  • Dataset
    Size fractionated mesozooplankton biomass, elemental and stable isotope measurements derived from plankton net tows conducted on R/V Roger Revelle cruise RR2201 (BLOOFINZ-IO) in the Argo Basin region off NW Australia during January-March 2022
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2025-03-28) Swalethorp, Rasmus ; Decima, Moira ; Landry, Michael R. ; Cawley, Grace ; Traboni, Claudia ; Kim, Lindsey
    This dataset contains size fractionated mesozooplankton biomass, elemental and stable isotope measurements derived from plankton net tows conducted from the cruise RR2201 of R/V Roger Revelle (BLOOFINZ-IO, January-March 2022) in the Argo Basin region off NW Australia. 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/956590
  • Dataset
    Water column dissolved radium-226 and radium-228 from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2025-03-27) Charette, Matthew A. ; Moore, Willard S.
    Water column dissolved radium-226 and radium-228 from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018. In this dataset version (v4), there have been corrections made to sample depths and sample ID numbers. 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/825891
  • Dataset
    Water column dissolved radium-226 and radium-228 from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from October to November 2018
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2025-03-27) Charette, Matthew A. ; Moore, Willard S.
    Water column dissolved radium-226 and radium-228 from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from October to November 2018. In this dataset version (v4), there have been corrections made to sample depths and sample ID numbers. 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/825947
  • Dataset
    Data and code from an examination of growth rates of cyanobacteria co-cultured with a heterotrophic bacterium, Alteromonas, under either present-day or predicted future pCO2 conditions
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2025-03-26) Morris, James Jeffrey ; Entwistle, Elizabeth ; Lu, Zhiying
    The CO2 content of Earth's atmosphere is rapidly increasing due to human consumption of fossil fuels. Models based on short-term culture experiments predict that major changes will occur in marine phytoplankton communities in the future ocean, but these models rarely consider how the evolutionary potential of phytoplankton or interactions within marine microbial communities may influence these changes. Here we experimentally evolved representatives of four phytoplankton functional types (silicifiers, calcifiers, coastal cyanobacteria, and oligotrophic cyanobacteria) in co-culture with a heterotrophic bacterium, Alteromonas, under either present-day or predicted future pCO2 conditions. The data and analysis code in this dataset show that the growth rates of cyanobacteria generally increased under both conditions, and the growth defects observed in ancestral Prochlorococcus cultures at elevated pCO2 and in axenic culture were diminished after evolution. Evolved Alteromonas were also poorer "helpers" for Prochlorococcus, supporting the assertion that the interaction between Prochlorococcus and heterotrophic bacteria is not a true mutualism but rather a competitive interaction stabilized by Black Queen processes. This work provides new insights on how phytoplankton will respond to anthropogenic change and on the evolutionary mechanisms governing the structure and function of marine microbial communities. 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/925841
  • Dataset
    Particle birefringence photon yield and particle beam attenuation coefficient derived from optical particle sensors deployed on GTC CTD casts on the U.S. GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15) on R/V Roger Revelle from Sept-Nov 2018
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2025-03-26) Bishop, James K.B. ; Lam, Phoebe J. ; Cutter, Gregory A.
    This data set was derived from optical particle sensors deployed during casts of the GEOTRACES Trace Metal Carousel (GTC) as part of the GEOTRACES Pacific Meridional Transect (GP15 expedition). There are several related data files provided. Data files are provided containing the average of all optical data profiles at each station for 0-500 meters (m) depth as well as for the full depth of the water column (6000 meters). CTD data used in the profile data calculations are also provided. 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/941657
  • Dataset
    Cross-polarized photon yield, beam attenuation coefficient, and fluorescence data derived from optical particle sensors deployed during casts of the GTC rosette on the GP17-OCE R/V Roger Revelle (RR2214) cruise Dec 2022 - Jan 2023
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2025-03-25) Bishop, James K.B. ; Cutter, Gregory A. ; Ohnemus, Daniel C.
    This data set was derived from optical particle sensors deployed during casts of the GEOTRACES Trace Metal Carousel (GTC) as part of the GEOTRACES GP17-OCE Expedition from the south Pacific gyre to Southern Ocean (R/V Roger Revelle RR2214). Data files are provided containing data for the 0-500 meter depth interval and also for the full water column. Data include measures of particle birefringence photon yield (units of parts per million per meter) and particle beam attenuation coefficient (units of per meter).  The two PIC sensors (PIC010, and PIC011) used in this study have been extensively documented (Bishop et al. 2022). Briefly, the sensors are built on a digital WETLabs C-star 25-centimeter pathlength 6000-meter rated transmissometer. A 660-nanometer laser replaced the transmissometer's LED light source. High crossing efficiency polarizers were externally mounted to both source and receiver windows; the source polarizer is aligned with the plane of polarization of the laser and the receiver polarizer is crossed to minimize transmission of the direct beam. As light from the primary beam encounters birefringent particles, its plane of polarization is rotated and the sensor receives a signal. Details of methodology are included in Bishop et al., 2022 (doi: 10.3389/frsen.2022.837938). 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/956233
  • Dataset
    Beam attenuation coefficient, scattering, and fluorescence data derived from optical particle sensors deployed during casts of the ODF rosette on the GEOTRACES GP17-OCE cruise aboard R/V Roger Revelle (RR2214) from December 2022 to January 2023
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2025-03-25) Bishop, James K.B. ; Twining, Benjamin
    This dataset contains recalculated and filtered transmissometer beam attenuation coefficient values for the ODF CTD from the GEOTRACES GP17-OCE cruise aboard R/V Roger Revelle (RR2214) from December 2022 to January 2023. Data files are provided containing the average of all optical data profiles at each station for 0-500 meters (m) depth (depth intervals of 5-meters) as well as for the full depth of the water column (6000 meters). Note scattering sensor data are only available in the ODF CTD data from GP17-OCE stations 18 onward. 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/949808
  • Dataset
    Cross-polarized photon yield, beam attenuation coefficient, scattering, and fluorescence data derived from optical particle sensors interfaced to a CTD deployed during McLane pump casts on the GP17-OCE R/V Roger Revelle (RR2214) cruise Dec 2022 - Jan 2023
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2025-03-25) Bishop, James K.B. ; Ohnemus, Daniel C. ; Lam, Phoebe J.
    This dataset was derived from optical particle sensors interfaced to a logging CTD and deployed during McLane Pump casts of the as part of the GEOTRACES GP17-OCE Expedition from the south Pacific gyre to Southern Ocean (R/V Roger Revelle RR2214). Data files are provided containing data for the 0-500 meter depth interval and also for the full water column. Files include measures of particle birefringence photon yield (units of parts per million per meter) and particle beam attenuation coefficient (units of per meter), scattering (units of  mFTU), and chlorophyll estimated from fluorescence readings. Note McLane CTD scatting profiles are available only at GP17-OCE stations 1, 3, 6, 8, 12, and 14. The two PIC sensors (PIC010, and PIC011) used in this study have been extensively documented (Bishop et al. 2022). Briefly, the sensors are built on a digital WETLabs C-star 25cm pathlength 6000-meter rated transmissometer. A 660-nanometer laser replaced the transmissometer's LED light source. High crossing efficiency polarizers were externally mounted to both source and receiver windows; the source polarizer is aligned with the plane of polarization of the laser and the receiver polarizer is crossed to minimize transmission of the direct beam. As light from the primary beam encounters birefringent particles, its plane of polarization is rotated and the sensor receives a signal. Details of methodology are included in Bishop et al., 2022 (doi: 10.3389/frsen.2022.837938). 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/956099
  • Dataset
    Data and analysis code used to experimentally evolve representatives of four phytoplankton functional types in co-culture with a heterotrophic bacterium under either present-day or predicted future pCO2 conditions
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2025-03-25) Morris, James Jeffrey ; Entwistle, Elizabeth ; Lu, Zhiying
    The CO2 content of Earth's atmosphere is rapidly increasing due to human consumption of fossil fuels. Models based on short-term culture experiments predict that major changes will occur in marine phytoplankton communities in the future ocean, but these models rarely consider how the evolutionary potential of phytoplankton or interactions within marine microbial communities may influence these changes. Here we experimentally evolved representatives of four phytoplankton functional types (silicifiers, calcifiers, coastal cyanobacteria, and oligotrophic cyanobacteria) in co-culture with a heterotrophic bacterium, Alteromonas, under either present-day or predicted future pCO2 conditions. The data and analysis code in this dataset show that the genomes of all four phytoplankton as well as Alteromonas evolved over the course of the experiment. Mutations in oxidative stress related genes (PTOX and thioredoxin reductase) were ubiquitous in evolved cultures of Prochlorococcus, suggesting adaptation in response to the well-studied deficiencies of this genus in terms of stress resistance in culture. With the exception of Prochlorococcus, most phytoplankton genomes appeared to experience mostly purifying selection, but Alteromonas genomes showed strong evidence of directional selection, particularly in co-culture with eukaryotic phytoplankton. Metabolic pathways were under intense selection for Alteromonas, and in particular adaptation to co-culture with eukaryotes appeared to select for a shift from growth on organic acids using an abbreviated TCA cycle to growth on more complex substrates using the complete TCA cycle. This work provides new insights on how phytoplankton will respond to anthropogenic change and on the evolutionary mechanisms governing the structure and function of marine microbial communities. 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/925872
  • Dataset
    Mussel respiration data from experiments with mussels sourced in WA conducted at University of Washington Friday Harbor Laboratories, Friday Harbor, WA from 2020 to 2023
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2025-03-24) Nishizaki, Michael T. ; Delgado, Andrea ; Hawadle, Abdisalan ; Brown, Ruairi ; Woodruff, Ella ; Birk, Katrin
    From 2021 to 2023, we measured aquatic respiration rates of three species of mytilid mussels (Mytilus trossulus Gould, M. galloprovincialis (L.), and M. californianus Conrad) under a range of water temperatures and velocities. M. californianus was obtained from the intertidal zone at Cattle Point, WA, USA (48.449966, -122.964350) and shipped in chilled coolers to the University of Washington Friday Harbor Laboratories (48.545998, -123.013046). M. trossulus and M. galloprovinicialis were obtained from a commercial supplier (Penn Cove Shellfish, Coupeville, WA, USA). Mussels were acclimated in a recirculating seawater. We conducted lab experiments to investigate the effects of multiple environmental stressors (e.g., water temperature and velocity) on physiological responses in three closely-related mytilid mussel species. In closed respirometry chambers (15 cm × 5 cm × 5 cm, L × W × H), we measured oxygen use by individual mussels under a combination of five temperatures (e.g., 5, 11, 17, 23, and 29°C) and five velocities (2, 4, 6, 10, and 20 cm s-1) in a fully crossed design. Oxygen concentrations were measured with non-intrusive fiber-optic O2 sensors (Pyroscience, Aachen, DEU). Samples were recorded at a rate of 1 Hz and drift of the O2 probe was negligible (e.g., <0.1% over 2 h at 20°C). Trials were run for 2 h, ensuring that a stable rate of decline could be identified. After each trial, all soft tissues were dried for 72 hours at 60°C (Lindeberg/Blue M Vacuum Oven; ThermoScientific Inc., Waltham, MA, USA) and weighed using an analytical balance (0.001 g; PA153 Pioneer Analytical Balance; Ohaus Corp., Pine Brook, NJ, USA). Data were analyzed to estimate respiration rates using the R package respR (Harianto, 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/953833
  • Dataset
    Rainwater aluminum measurements of samples collected November 2018 to March 2020 at Tudor Hill, Bermuda as part of the Bermuda Atlantic Iron Timeseries project
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2025-03-20) Sedwick, Peter N. ; Sohst, Bettina
    These data include total-dissolvable aluminum concentrations in rainwater and corresponding rainfall amounts for composite samples collected during approximately weekly intervals on the sampling tower at Tudor Hill, Bermuda, between November 2018 and March 2020. The data allow estimates of the wet deposition of aluminum to the Bermuda region over the period of the BAIT project, which included cruises in the Bermuda Atlantic Time-series Study (BATS) region in March, May, August and November 2019. The rain samples were collected by staff of the Bermuda Institute of Ocean Sciences (the Tudor Hill tower facility is managed by Dr. Andrew Peters, with funding from NSF), and sample processing and analyses were completed in the laboratory of Dr. Peter Sedwick at Old Dominion University.     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/956635
  • Dataset
    Sampling and experimental metadata related to 'Candidatus' Aquarickettsia rohweri transcriptome data from host Acropora cervicornis colonies collected at Looe Key, Lower Florida Keys from Apr to Jun of 2019
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2025-03-20) Vega Thurber, Rebecca ; Muller, Erinn M. ; Klinges, Grace J. ; Speare, Lauren
    This dataset contains sampling and experimental metadata related to 'Candidatus' Aquarickettsia rohweri transcriptome sequences housed at the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) under BioProject PRJNA1048415. All host colonies (Acropora cervicornis genotype ML-50) were collected from the same location, the Mote Marine Laboratory in situ coral nursery in Looe Key, Lower Florida Keys between April and June of 2019. The Rickettsiales-like bacterial parasite, 'Candidatus' Aquarickettsia rohweri (NCBI:txid2602574) is a ubiquitous coral symbiont that is strongly linked to coral disease susceptibility in staghorn coral, and is undergoing positive selection across the Caribbean. Although ‘Ca.’ A. rohweri is a putative parasite, little is known about the activity of this bacterium in coral tissue. We performed a transcriptomic analyses of ‘Ca.’ A. rohweri populations during a 6-week nutrient exposure experiment. ‘Ca.’ A. rohweri energy scavenging genes and those potentially involved during habitat transition are significantly upregulated during enrichment. Specifically, transcripts involved in signaling, virulence, two-component systems, and nutrient import genes are elevated under higher nutrients. These data support the predicted role of ‘Ca.’ A. rohweri as a highly active nutrient-responsive A. cervicornis parasite and provide a glimpse at the mechanism of induced disease susceptibility while implicating nutrient exposure in its horizontal transmission. 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/928636
  • Dataset
    Aerosol aluminum measurements from Tudor Hill, Bermuda collected December 2018 to March 2020 as part of the Bermuda Atlantic Iron Timeseries project
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2025-03-19) Sedwick, Peter N. ; Sohst, Bettina ; Williams, Tara E.
    These data include the atmospheric concentrations of aerosol aluminum (total, deionized-water-soluble, and dilute-acetic-acid-soluble) derived from analysis of composite aerosol samples collected during approximately weekly intervals on the sampling tower at Tudor Hill, Bermuda, between November 2018 and March 2020. The data allow estimates of the dry deposition of aluminum to the Bermuda region over the period of the BAIT project, which included cruises in the Bermuda Atlantic Time-series Study (BATS) region in March, May, August and November 2019. The aerosol samples were collected by staff of the Bermuda Institute of Ocean Sciences from the Tudor Hill tower facility that is managed by Dr. Andrew Peters with funding from NSF. Sample processing and analyses were completed in the laboratory of Dr. Peter Sedwick at Old Dominion University.     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/956140
  • Dataset
    16S microbiome metadata collected from shallow artificial reef sponges and seawater in the Florida Keys, USA from Apr 2021 to Aug 2021
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2025-03-19) Easson, Cole G. ; Freeman, Christopher J. ; Fiore, Cara L. ; Thacker, Robert W.
    Sponges are a dominant component of coral reefs worldwide and in the Caribbean, where their biomass exceeds that of reef-building corals. For almost a quarter century, the success of sponges in the Caribbean has been linked to their filter-feeding ability. However, recent work demonstrated that coexisting sponges on Caribbean reefs host unique communities of bacteria that might allow sponges to access multiple pools of nutrients that are not available to other organisms. In this project, the investigators will test the hypothesis that ecologically dominant sponge species in the Caribbean have unique metabolic strategies that are mediated by their associations with microbes that live within the sponge body. In this dataset, we present the 16S rRNA microbiome NCBI accession and sample collection metadata for an artificial reef experiment where sponges of 10 species were placed on this temporary reef from April to August of 2021 and sampled using VacuSIP. VacuSIP methods capture incurrent (In) and excurrent (Ex) water from each sponge specimen. Incurrent represents the bacteria that are available for the sponge to consume via filter feeding and excurrent represents the bacteria that remain once sponges have consumed their preferred taxa. Additionally, we have provided microbiome metadata for the host sponges for several of these paired In/Ex samples. See the related dataset, NCBI Bioproject PRJNA1179970, for all sequence data. Microbiome data was generated using protocols from the Earth Microbiome project and sequencing was conducted on an Illumina MiSeq at Middle Tennessee State University. The data available at NCBI represents raw sequencing data, and no quality checks or sequencing filtering has been done on the uploaded sequences. 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/953999
  • Dataset
    Winter temperature data from loggers placed in shallow subtidal areas in the northeast Pacific from Oct 2019 to Jul 2024
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2025-03-19) Tepolt, Carolyn ; McDonald, P. Sean ; Grason, Emily ; Akmajian, Adrianne
    Dataset includes winter temperature logger data for a suite of embayments in the northeast Pacific. Data were collected as part of an NSF-funded project on invasive European green crab adaptation; loggers were placed in the shallow subtidal in areas determined by Washington Sea Grant's Crab Team to be good environments for green crabs. Loggers were placed by multiple collaborators without a fully standardized approach; metadata are incomplete but include all available information. Loggers used were iButtons and HOBO pendant loggers. Two loggers were placed at each site in the shallow subtidal with the goal that they were always submerged in water while deployed (i.e., not emersed). Logging frequency depended on the monitor type; iButtons captured water temperatures every 2.15 hours, and HOBO loggers recorded water temperature every 30 minutes over the winter. Deployment duration varied between years and sites, but typically ran from October - April. 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/949897
  • Dataset
    Two decibar averaged CTD profiles collected at the Bermuda Atlantic Time-series Study (BATS) site from October 1988 through July 2024
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2025-03-19) Johnson, Rodney J. ; Bates, Nicholas ; Lethaby, Paul J. ; Smith, Dominic ; Chambers, Eloise
    Data presented here are profiles of primary CTD parameters (pressure, depth, temperature, conductivity, and salinity) plus auxiliary measurements of dissolved oxygen, beam attenuation, relative fluorescence, and photosynthetic active radiation (PAR) at the BATS site 31° 40' N 64° 10'W for October 1988- July 2024. Profiles were collected using a standard Sea-Bird SBE-09 plus CTD during the monthly core BATS cruises and near biweekly BATS bloom cruises during the months of February through April depending on ship availability. Data are processed following the methods of Knap et al., 1997 with the final product being reported as two decibar averages and all profiles for each cruise are reported in a single cruise file. It should be noted that the two decibar profiles are reported for the downcast only and bottle marker data collected on the upcast are presented with the bottle data. 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/3918
  • Dataset
    HPLC and fluorometric derived phytoplankton pigment concentrations from seawater collected on BATS Validation cruises from June 1996 to July 2024
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2025-03-19) Bates, Nicholas ; Johnson, Rodney J. ; Smith, Dominic ; Medley, Claire ; Lethaby, Paul J. ; Stuart, Emma
    Data presented here are discrete bottle HPLC derived phytoplankton pigments and fluorometric chlorophyll-a for BATS validation (BVAL) cruises from June 1996 (BVAL cruise #50016) through June/July 2024 (BVAL cruise #50061). Water samples are typically collected from 7-12 depths in the upper 250 meters of the water column, and then filtered under low vacuum through a 25mm GF/F filter. The filter is then flash frozen in liquid nitrogen and stored at -80 degrees C. Shoreside, analysis is performed on an HPLC using a method modified by Dr. R. Bidigare from the Wright et al. (1991) procedure. This method identifies the pigments chlorophyll-c3, chlorophyll-c2, peridinin, 19’-butanoyloxyfucoxanthin, fucoxanthin, 19’-hexanoyloxyfucoxanthin, prasinoxanthin, diadinoxanthin, alloxanthin, diatoxanthin, lutein, zeaxanthin, chlorophyll-b, chlorophyll-a, divinyl chlorophyllide-a, alpha and beta carotene. Additionally, chlorophyll-a and phaeopigments are analyzed using a fluorometric assay. 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/926534
  • Dataset
    Two decibar averaged CTD profiles collected at the Hydrostation S site in the Sargasso Sea from October 1988 (cruise #60643) through July 2024 (cruise #61478)
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2025-03-19) Bates, Nicholas ; Johnson, Rodney J. ; Lethaby, Paul J. ; Smith, Dominic ; Chambers, Eloise
    Data presented here are CTD profiles from the Hydrostation S (or Panulirus) time series site located 20 km SE of Bermuda (32°10’N, 64°30’W) in the Sargasso Sea for October 1988 through July 2024. Profiles include basic CTD measurements of Pressure, Depth, Temperature, and Salinity, reported along with dissolved oxygen, beam attenuation, and relative fluorescence, at two-decibar averages. The profiles were collected during biweekly cruises to the site from October 1988 (cruise #60643) to July 2024 (cruise #61478). Data and samples have been collected using a SeaBird 9/11+ CTD and integrated Niskin rosette system. 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/860014
  • Dataset
    Pico- and Nanoplankton concentrations from CTD cast deployments collected from the R/V Endeavor (EN532, EN538) cruises in the subarctic Atlantic Ocean from 2013-2014
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2025-03-18) Ward, Bess B. ; Allen, Andrew E. ; Sigman, Daniel M.
    This dataset includes pico- and nanoplankton concentrations from CTD cast deployments collected from the R/V Endeavor (EN532, EN538) cruises in the subarctic Atlantic Ocean from 2013-2014. 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/651890
  • Dataset
    Discrete bottle samples collected at the Bermuda Atlantic Time-series Study (BATS) site in the Sargasso Sea from October 1988 through June 2024
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2025-03-18) Bates, Nicholas ; Johnson, Rodney J. ; Lomas, Michael W. ; Lethaby, Paul J. ; Smith, Dominic ; Bakker, Roderick ; Davey, Emily ; Derbyshire, Lucinda ; Enright, Matthew ; Garley, Rebecca ; Hayden, Matthew ; Lomas, Debra ; May, Rebecca ; Medley, Claire
    Data presented here are discrete bottle samples from the Bermuda Atlantic Time-series Study (BATS) site located 80 km SE of Bermuda (31°40N, 64°10W) in the Sargasso Sea for October 1988 (cruise 10001) through June 2024 (cruise 10416). Measurements were collected from the core monthly BATS cruises and the near-biweekly (depending on ship availability) BATS Bloom cruises during February through April. The sample parameter list has been mostly consistent for the full time-series record and includes: salinity, dissolved oxygen, dissolved inorganic carbon, alkalinity, nutrients (nitrate + nitrite, nitrite, phosphate, silicate), particulate organics (carbon, nitrogen, phosphorous), particulate silicate, total organic carbon and nitrogen, total dissolved phosphorus, bacterial enumeration, and flow cytometry counts of picoplankton. The HPLC derived phytoplankton pigment data which are collected synoptically with many of the above parameters are reported in a separate dataset. 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/3782