| Contributors | Affiliation | Role |
|---|---|---|
| McGillicuddy, Dennis J. | Woods Hole Oceanographic Institution (WHOI) | Principal Investigator |
| Keafer, Bruce | Woods Hole Oceanographic Institution (WHOI) | Co-Principal Investigator |
| Kosnyrev, Olga | Woods Hole Oceanographic Institution (WHOI) | Data Manager |
| Soenen, Karen | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Sea-Bird SBE 9 CTD data measurements using Sea-Bird Software SBE Seasave at standard CTD stations: profiles (down casts) with water sampling (up casts).
Sea-Bird Software SBE Data Processing. All CTD profiles have been binned using 1db pressure bin.
Station numbers ending with .2 are station named with with "a" at the end (usually this is second cast at the same location when primary cast failed for some reason).
BCO-DMO Processing notes:
| File |
|---|
WHCOHH_CTD_Profiles filename: CTD_profiles.zip (ZIP Archive (ZIP), 3.94 MB) MD5:c0f0fbde8810eef1fe3ceb47c0778538 |
ctd_profilesd_all.csv (Comma Separated Values (.csv), 7.58 MB) MD5:f9daf175bb6c05a95a870a5f32981e04 Primary data file for dataset ID 843463 |
| Parameter | Description | Units |
| Cruise_ID | cruise identifier | unitless |
| Station_Number | Station number | unitless |
| Latitude | Latitude | degN |
| Longitude | Longitude | degW |
| ISO_DateTime_UTC | Sampling ISO DateTime UTC time zone | unitless |
| TimeElapsed | Elapsed time | sec |
| PrDM | Pressure | db |
| T090C | Temperature | degC |
| C0 | Conductivity | S/m |
| WetStar | Fluorescence 1 | mg/m^3 |
| Sbeox0V | Raw oxygen | V |
| Sal00 | Salinity | unitless |
| SigmaA | Sigma-theta density | kg/m^3 |
| Sbeox0 | Dissolved oxygen concentration | ml/L |
| pH | pH | unitless |
| flECO_AFL | Fluorescence 2 | mg/m^3 |
| Trans | Beam transmission | percentage (%) |
| AltM | Altimetry | m |
| PAR | PAR/Irradiance | microEinsteins/m^2/second |
| seaTurbMtr | Turbidity | NTU |
| sPAR | SPAR/Surface Irradiance | microEinsteins/m^2/second |
| WetStarV | Fluorescence 1 voltage | V |
| Dataset-specific Instrument Name | SeaBird 911+ Rosette 24-position, 10-liter bottle Rosette with dual T/C sensors |
| Generic Instrument Name | CTD Sea-Bird SBE 911plus |
| Dataset-specific Description | SeaBird 911+ Rosette 24-position, 10-liter bottle Rosette with dual T/C sensors At each station, CTD casts measured temperature, salinity and PAR. Water samples collected at depths of 300, 250, 200, 150, 120, 100, 80, 60, 40, 30, 20, 10 m, and the surface were filtered and preserved for nutrient analysis.
|
| Generic Instrument Description | The Sea-Bird SBE 911 plus is a type of CTD instrument package for continuous measurement of conductivity, temperature and pressure. The SBE 911 plus includes the SBE 9plus Underwater Unit and the SBE 11plus Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9 plus and SBE 11 plus is called a SBE 911 plus. The SBE 9 plus uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 plus and SBE 4). The SBE 9 plus CTD can be configured with up to eight auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorescence, light (PAR), light transmission, etc.). more information from Sea-Bird Electronics |
| Dataset-specific Instrument Name | Digiquartz |
| Generic Instrument Name | Pressure Sensor |
| Generic Instrument Description | A pressure sensor is a device used to measure absolute, differential, or gauge pressures. It is used only when detailed instrument documentation is not available. |
| Dataset-specific Instrument Name | SBE 43 Dissolved Oxygen Sensor |
| Generic Instrument Name | Sea-Bird SBE 43 Dissolved Oxygen Sensor |
| Generic Instrument Description | The Sea-Bird SBE 43 dissolved oxygen sensor is a redesign of the Clark polarographic membrane type of dissolved oxygen sensors. More information from the manufacturer: https://www.seabird.com/products/sbe-43-dissolved-oxygen-sensor |
| Dataset-specific Instrument Name | Seapoint Turbidity |
| Generic Instrument Name | Seapoint Turbidity Meter |
| Generic Instrument Description | The Seapoint Turbidity Meter detects light scattered by particles suspended in water, generating an output voltage proportional to turbidity or suspended solids. |
| Dataset-specific Instrument Name | WET Labs WETstar Fluorometer |
| Generic Instrument Name | WETStar CDOM Fluorometer |
| Dataset-specific Description | These low cost, low power optical sensors provide comparable performance to other fluorometers at a fraction of their cost, power requirements, and size.
The WETStar uses a novel optical flow design that allows for both pump-through and flow-through applications. It is easily mated with CTD packages.
Provides calibrated, high-resolution (60 Hz signal and 1 Hz average) chlorophyll-a measurement of mechanically stimulated bioluminescence to assess water column ecosystem dynamics. The potted optics block results in long term stability of the instrument and the optional anti-biofouling technology delivers truly long term field measurements. more information from Wet Labs |
| Generic Instrument Description | The WETStar CDOM fluorometer measuring fluorescence as a proxy for dissolved matter absorption. |
| Website | |
| Platform | R/V Connecticut |
| Start Date | 2015-05-07 |
| End Date | 2015-05-07 |
| Website | |
| Platform | R/V Connecticut |
| Start Date | 2015-08-06 |
| End Date | 2015-08-07 |
| Website | |
| Platform | R/V Connecticut |
| Start Date | 2016-05-03 |
| End Date | 2016-05-05 |
| Website | |
| Platform | R/V Connecticut |
| Start Date | 2016-07-19 |
| End Date | 2016-07-20 |
| Website | |
| Platform | R/V Connecticut |
| Start Date | 2018-04-30 |
| End Date | 2018-05-02 |
| Website | |
| Platform | R/V Connecticut |
| Start Date | 2018-07-18 |
| End Date | 2018-07-19 |
| Website | |
| Platform | R/V Connecticut |
| Start Date | 2019-06-12 |
| End Date | 2019-06-17 |
| Website | |
| Platform | R/V Connecticut |
| Start Date | 2019-07-09 |
| End Date | 2019-07-11 |
| Website | |
| Platform | R/V Connecticut |
| Start Date | 2019-08-13 |
| End Date | 2019-08-13 |
| Website | |
| Platform | R/V Gulf Challenger |
| Start Date | 2016-10-05 |
| End Date | 2016-10-07 |
| Website | |
| Platform | R/V Tioga |
| Start Date | 2012-05-23 |
| End Date | 2012-05-25 |
| Website | |
| Platform | R/V Tioga |
| Start Date | 2012-06-11 |
| End Date | 2012-06-11 |
| Website | |
| Platform | R/V Tioga |
| Start Date | 2012-08-04 |
| End Date | 2012-08-05 |
| Website | |
| Platform | R/V Tioga |
| Start Date | 2013-04-28 |
| End Date | 2013-04-28 |
| Website | |
| Platform | R/V Tioga |
| Start Date | 2013-05-14 |
| End Date | 2013-05-16 |
| Website | |
| Platform | R/V Tioga |
| Start Date | 2013-05-30 |
| End Date | 2013-05-31 |
| Website | |
| Platform | R/V Tioga |
| Start Date | 2013-06-12 |
| End Date | 2013-06-13 |
| Website | |
| Platform | R/V Tioga |
| Start Date | 2013-07-08 |
| End Date | 2013-07-09 |
| Website | |
| Platform | R/V Tioga |
| Start Date | 2013-08-03 |
| End Date | 2013-08-07 |
| Website | |
| Platform | R/V Tioga |
| Start Date | 2014-05-02 |
| End Date | 2014-05-03 |
| Website | |
| Platform | R/V Tioga |
| Start Date | 2014-05-20 |
| End Date | 2014-05-22 |
| Website | |
| Platform | R/V Tioga |
| Start Date | 2014-06-06 |
| End Date | 2014-06-06 |
| Website | |
| Platform | R/V Tioga |
| Start Date | 2014-06-15 |
| End Date | 2014-06-17 |
| Website | |
| Platform | R/V Tioga |
| Start Date | 2014-07-10 |
| End Date | 2014-07-12 |
| Website | |
| Platform | R/V Tioga |
| Start Date | 2014-07-25 |
| End Date | 2014-07-27 |
| Website | |
| Platform | R/V Tioga |
| Start Date | 2015-06-17 |
| End Date | 2015-06-18 |
| Website | |
| Platform | R/V Tioga |
| Start Date | 2015-07-07 |
| End Date | 2015-07-08 |
| Website | |
| Platform | R/V Tioga |
| Start Date | 2015-08-02 |
| End Date | 2015-08-05 |
| Website | |
| Platform | R/V Tioga |
| Start Date | 2016-10-20 |
| End Date | 2016-10-20 |
| Website | |
| Platform | R/V Tioga |
| Start Date | 2017-07-17 |
| End Date | 2017-07-22 |
| Website | |
| Platform | R/V Tioga |
| Start Date | 2017-08-09 |
| End Date | 2017-08-11 |
| Website | |
| Platform | R/V Warren Jr. |
| Start Date | 2017-06-29 |
| End Date | 2017-07-01 |
Alexandrium catenella and Pseudo-nitzschia spp. threaten human health through their production of potent neurotoxins that respectively cause Paralytic Shellfish Poisoning and Amnesic Shellfish Poisoning. Both are widespread across coastal waters of the U.S. and globally. Environmental factors alter marine ecosystems in many unanticipated ways, and a major concern is that the occurrence of these harmful algal blooms (HABs) and their concomitant human health impacts will grow. This project addresses key uncertainties regarding the impact of environmental variability on the timing and severity of HABs through detailed biological and ecological study of Alexandrium and Pseudo-nitzschia blooms within the Gulf of Maine (GOM). The GOM is an ideal system because of the long history of regional HAB issues and associated groundbreaking research by WHCOHH. Comprehensive studies of bloom physiology, toxicity, and oceanographic drivers have led to construction of coupled physical-biological models that have improved our understanding of key HAB dynamics and set the stage for continued interdisciplinary investigation of mechanisms at the cellular-to-GOM scale that are relevant to human exposure and health. In particular, the physiological responses of these HABs — growth, toxicity, and life cycle transitions — to shifting environmental conditions remain uncertain. We hypothesize that long-term trends in HAB risks in the GOM are inherently linked to physiological processes and toxin dynamics that are driven by ecological stimuli. This project’s aims are designed to illuminate the role of life cycle dynamics and cellular physiology in determining the occurrence of Alexandrium and Pseudo-nitzschia blooms. We apply a wide variety of innovative approaches for study of natural populations in situ, leveraging a unique region-scale HAB observing system (HABON-NE). Aims 1 and 2 focus on A. catenella and seek to characterize cyst dormancy cycles, cyst formation, and subsequent bloom termination. These aims build upon prior successful approaches and models from study of inshore systems, asking the question if open water populations of the GOM are governed by similar dynamics. Aim 3 investigates the physiology underlying the emerging bloom dynamics of Pseudo-nitzschia in the GOM with in situ physiological observation coupled with targeted metatranscriptomics. Through the direct assessment of life cycle processes and physiology of HABs in the GOM, the results from this work will be directly applicable to the successful integration of physiology into models (Project 2) and inform estimates of potential risk for human exposure to HAB toxins (Project 3).
Overall Abstract:
The Woods Hole Center for Oceans and Human Health (WHCOHH) will comprise a strong and integrated set of research projects using novel in situ sampling technologies and modeling approaches building on prior research to address how environmental factors influence harmful algal bloom (HAB) dynamics and human exposure to HAB toxins, a serious and global human health threat. The overall objective is to protect public health through enhanced understanding of how oceanic processes affect the intensity and distribution of toxin-producing HABs and to understand the potential health risks from exposure even to low levels of their potent neurotoxins, especially during susceptible stages of life. The Center will focus on two key HAB taxa: Alexandrium catenella, which produces the saxitoxins responsible for paralytic shellfish poisoning (PSP), and Pseudo-nitzschia spp., which produce domoic acid responsible for amnesic shellfish poisoning (ASP) syndrome, both are expanding geographically. Novel, targeted, efficient, and data-rich sampling approaches developed by the applicants and applied in situ in natural settings have revealed new controls of A. catenella population dynamics, and have identified possible new environmental links regarding toxic Pseudo-nitzschia species. Project 1 will examine further the physiological and environmental variables affecting these HABs, which may underlie population adaptation in different habitats and different environmental regimes. Project 2 will incorporate these new and fundamental insights on bloom regulation into coupled population models to predict HAB events, a key step toward being able to quantify future risks from this recurrent public health threat. In biomedical studies with the zebrafish model, Project 3 has identified myelination in the developing brain as a target of domoic acid. They will use transgenic zebrafish and single-cell RNA-sequencing to identify the cell-specific mechanisms underlying effects of domoic acid, saxitoxin, and the cyanotoxin anatoxin-a in zebrafish embryos in vivo and will use human iPSC-derived 3D brain systems in vitro to elucidate toxin effects on neural and glial cell differentiation in human cells. Studies also will determine whether prior exposure to ubiquitous persistent organic pollutants may modify effects of subsequent exposure to saxitoxin and domoic acid. All projects will collaborate to link oceanic processes to human exposure, helping to define the exposure of susceptible human subpopulations. The Community Engagement Core will facilitate integration of the research with education and engagement of resource managers and other stakeholders. We also will improve awareness of emerging HAB issues for the public health community and develop new educational materials and interactive activities for K-12 classrooms, and for health care providers. An Administrative Core will encourage open discussion of planning, integration, and communication, and provide rigorous evaluation of progress in all aspects of the program.
NSF Award Abstract: See https://www.nsf.gov/awardsearch/show-award?AWD_ID=2418297
The data management plan for the program can be found here.
| Funding Source | Award |
|---|---|
| NSF Division of Ocean Sciences (NSF OCE) | |
| NSF Division of Ocean Sciences (NSF OCE) | |
| National Institutes of Health (NIH) | |
| National Institutes of Health (NIH) |