Vessel CTD profiles in the outer reaches of the Damariscotta River Estuary in the mid-coast region of Maine from June 2017 to July 2018

Website: https://www.bco-dmo.org/dataset/809309
Data Type: Cruise Results
Version: 1
Version Date: 2022-04-07

Project
» Collaborative Proposal: Assessment of the Colloidal Iron Size Spectrum in Coastal and Oceanic Waters (Colloidal Metals)
ContributorsAffiliationRole
Wells, Mark L.University of MainePrincipal Investigator, Contact
Heyl, TaylorWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager
Rauch, ShannonWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
This dataset includes vessel CTD profiles from the outer reaches of the Damariscotta River Estuary in the mid-coast region of Maine collected from June 2017 to July 2018.


Coverage

Spatial Extent: N:43.904 E:-69.497 S:43.761 W:-69.577
Temporal Extent: 2017-06-22 - 2018-07-03

Methods & Sampling

Vessel CTD profiles were conducted from the outer reaches of the Damariscotta River Estuary in the mid-coast region of Maine from June 2017 to July 2018. Standard CTD profiling methods were used from the vessel. 


Data Processing Description

Standard CTD data processing software from SeaBird.

BCO-DMO Processing Notes:
- added a conventional header with dataset name, PI name, version date
- modified parameter names to conform with BCO-DMO naming conventions
- blank values in this dataset are displayed as "nd" for "no data" (nd is the default missing data identifier in the BCO-DMO system)
- removed Type column, PI stated not applicable
- added column "station_name" to coincide with station ID numbers
- converted Dates supplied to YYYY-MM-DD format
- set Types for each data column


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Data Files

File
vessel_ctd.csv
(Comma Separated Values (.csv), 454.89 KB)
MD5:aa91933d20c6b060214a210eae5d815c
Primary data file for dataset ID 809309

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Parameters

ParameterDescriptionUnits
Station_IDStation identifier unitless
Station_NameThe name of the fixed sampling station unitless
DateDate of water sample collection; filtration; and in situ measurements in format: YYYY-MM-DD unitless
LatitudeLatitude, North is positive decmial degrees
LongitudeLongitude, East (West is negative) decmial degrees
DepthExact depth where the in situ measurements were made meters (m)
DensityIn-situ Density of water (T, S, Depth) in kilograms per cubic meter kg/m^3
FluorescenceIn situ chlorophyll fluorescence mg/m^3
OxygenIn situ dissolved oxygen mg/L
Oxygen_pct_satOxygen saturation state % saturation
SalinityIn situ salinity PSU
TemperatureIn situ temperature degrees Celsius
TurbidityIn situ turbidity NTU
Specific_ConductanceIn situ conductivity uS/cm
PAR_IrradianceIn situ photosynthetically active radiation uEinsteins/m^2/s
Beam_AttenuationIn situ light scattering by particles 1/m
Beam_TransmissionIn situ light transmission %
flagnotation where questionable data may occur; bad flag = -9.99e-29 unitless


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Instruments

Dataset-specific Instrument Name
Generic Instrument Name
Niskin bottle
Generic Instrument Description
A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24, or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc.

Dataset-specific Instrument Name
Sea-Bird Electronics (SBE) CTD
Generic Instrument Name
CTD Sea-Bird
Generic Instrument Description
Conductivity, Temperature, Depth (CTD) sensor package from SeaBird Electronics, no specific unit identified. This instrument designation is used when specific make and model are not known. See also other SeaBird instruments listed under CTD. More information from Sea-Bird Electronics.

Dataset-specific Instrument Name
Biospherical scalar PAR sensor
Generic Instrument Name
LI-COR Biospherical PAR Sensor
Generic Instrument Description
The LI-COR Biospherical PAR Sensor is used to measure Photosynthetically Available Radiation (PAR) in the water column. This instrument designation is used when specific make and model are not known.

Dataset-specific Instrument Name
SBE 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 Sea-Bird Electronics

Dataset-specific Instrument Name
Generic Instrument Name
Wet Labs CSTAR Transmissometer
Generic Instrument Description
A highly integrated opto-electronic design to provide a low cost, compact solution for underwater measurements of beam transmittance. The instrument is capable of either free space measurements, or through the use of an optical flow tube, flow-through sampling with a pump. It can be used in profiling, moored, or underway applications. more information from Wet Labs

Dataset-specific Instrument Name
ECO-FLNTU (optical backscattering at 700 nm; chlorophyll fluorescence)
Generic Instrument Name
WETLabs ECO-FLNTU
Generic Instrument Description
The ECO FLNTU is a dual-wavelength, single-angle sensor for simultaneously determining both chlorophyll fluorescence and turbidity.


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Deployments

IC_DMC_2017-2018

Website
Platform
R/V Ira C.
Start Date
2017-06-22
End Date
2018-07-03
Description
This deployment is a collection of 4 one-day cruises to two stations reached from the University of Maine's Darling Marine Center (DMC) (June 22, 2017, October 27, 2017, November 13, 2017, and July 3, 2018). The DMC is located on the Damariscotta River Estuary. The first station (Bg) is within the river with a depth of approximately 25 meters. The second station (Bt) is roughly 5 nm outside the mouth of the estuary at approximately 100 m depth.


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Project Information

Collaborative Proposal: Assessment of the Colloidal Iron Size Spectrum in Coastal and Oceanic Waters (Colloidal Metals)

Coverage: Coastal Maine


NSF abstract:

Bioavailable iron is arguably the most important nutrient for shaping the distribution and composition of marine primary productivity and, in turn, the magnitude of ocean carbon export. Iron exists in many phases throughout the world's oceans, and colloidal, or non-soluble, phases comprise a significant fraction of dissolved iron. However, the size and physical/chemical character of these phases is presently poorly understood. To better understand this key part of iron cycling, researchers will use new analytical chemistry methods to quantitatively separate the colloidal iron sizes present in a sample and measure the composition of these colloidal portions in shelf and oceanic waters. Results from this study will help hone future studies to better link the source and fate of iron in the marine environment. A postdoctoral researcher will serve as a principal investigator on the project, providing a unique professional development opportunity. In addition, the project will support the education and research training of one undergraduate student each year, and the researchers will conduct outreach activities to K-12 students and teachers.

The colloidal phase of iron may serve as a biological source of stored iron, a primary conveyance for stripping iron into sinking particulate matter (removing it from the pelagic biosphere), or, more likely, a dynamic balance of these roles that fluctuates with the source and character of iron input. The current methods to investigate marine colloidal matter involve operationally defining the bulk colloidal phase using single cutoff filters, a practical decision based on little or no evidence. More problematic, these methods homogenize the colloidal phase, obscuring what almost certainly is a reactivity spectrum of colloidal species tied to their size and compositional character. In this study, the researchers will use Flow Field-Flow Fractionation coupled to Multi-Angle Laser Light Scattering to make measurements of the uniformity or uniqueness of the colloidal size spectrum, and the physical/chemical character of these phases. The findings will have broad implications to the fields of marine ecology and biogeochemistry and, ultimately, to modeling studies of ocean-atmospheric coupling and climate change.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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