| Contributors | Affiliation | Role |
|---|---|---|
| Yund, Philip O. | Downeast Institute for Applied Marine Research and Education (DEI) | Principal Investigator, Contact |
| Gegg, Stephen R. | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
| York, Amber D. | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Data from CTD downcasts on transects in coastal eastern Maine collected during the MuLTI-2 Project.
These data were published in Conlon et al. (2018).
Across-shelf cruises
MuLTI-2_ChandlerBayAcrossShelf_20140620_Ebb
MuLTI-2_ChandlerBayAcrossShelf_20140717_Flood
MuLTI-2_ChandlerBayAcrossShelf_20150715_Ebb
MuLTI-2_ChandlerBayAcrossShelf_20150709_Flood
MuLTI-2_EnglishmanBayAcrossShelf_20140808_Ebb
MuLTI-2_EnglishmanBayAcrossShelf_20140711_Flood
MuLTI-2_EnglishmanBayAcrossShelf_20150730_Ebb
MuLTI-2_EnglishmanBayAcrossShelf_20150717_Flood
MuLTI-2_FrenchmanBayUpperAcrossShelf_20140812_Flood
MuLTI-2_FrenchmanBayUpperAcrossShelf_20150610_Flood
MuLTI-2_FrenchmanBayUpperAcrossShelf_20150625_Ebb
MuLTI-2_FrenchmanBayUpperAcrossShelf_20150828_Ebb
MuLTI-2_FrenchmanBayUpperAcrossShelf_20150608_Flood
MuLTI-2_FrenchmanBayLowerAcrossShelf_20140812_Ebb
MuLTI-2_FrenchmanBayLowerAcrossShelf_20150626_Ebb
MuLTI-2_FrenchmanBayLowerAcrossShelf_20150825_Flood
MuLTI-2_MachiasBayAcrossShelf_20140627_Ebb
MuLTI-2_MachiasBayAcrossShelf_20150807_Flood
MuLTI-2_PigeonHillAcrossShelf_20140718_Flood
MuLTI-2_PigeonHillAcrossShelf_20150714_Ebb
MuLTI-2_PleasantBayAcrossShelf_20140712_Ebb
MuLTI-2_PleasantBayAcrossShelf_20140619_Flood
MuLTI-2_PleasantBayAcrossShelf_20150806_Flood
MuLTI-2_PleasantBayAcrossShelf_20150729_Ebb
MuLTI-2_WesternBayAcrossShelf_20140619_Ebb
MuLTI-2_WesternBayAcrossShelf_20140717_Ebb
MuLTI-2_WesternBayAcrossShelf_20150707_Flood
MuLTI-2_WesternBayAcrossShelf_20150714_Flood
Along-shelf cruises
MuLTI-2_ChandlerEnglishmanBaysAlongShelf_20140711_Ebb
MuLTI-2_ChandlerEnglishmanBaysAlongShelf_20150722_Flood
MuLTI-2_ChandlerEnglishmanBaysAlongShelf_20150706_Flood
MuLTI-2_FrenchmanBayAlongShelf_20150615_Ebb
MuLTI-2_PleasantWesternBaysAlongShelf_20140624_Flood
MuLTI-2_PleasantWesternBaysAlongShelf_20140712_Flood
MuLTI-2_PleasantWesternBaysAlongShelf_20150721_Flood
MuLTI-2_PleasantWesternBaysAlongShelf_20150706_Ebb
MuLTI-2_FrenchmanBayInner_20150827_Ebb
MuLTI-2_FrenchmanBayInner_20150624_Flood
MuLTI-2_FrenchmanBayInner_20150630_Ebb
MuLTI-2_FrenchmanBayInner_20150618_Flood
Mixed
MuLTI-2_MoosabecEastern_20150811_Ebb
MuLTI-2_MoosabecEastern_20150716_Ebb
CTD casts at discrete stations located along transects. Most transects are oriented either across-shelf or along-shelf (one is a mixture). Sampling was limited to 2 hrs. in the middle of the tidal cycle, on either flood or ebb tides. CTD was a YSI Castaway: www.sontek.com/productsdetail.php?CastAway-CTD-11. Calibration dates and additional information are supplied in the headers of each data file. Headers also contain coordinates of the instrument at the start and stop of each cast.
Frenchman Bay is a long transect that had to broken into two with half run on each cruise, in order to stay within our 2 hour tidal phase window. Hence the renchman Bay cruises have an "Upper" vs. "Lower" designation, but the station coordinates are continuous. To accommodate weather conditions and/or logistical delays, we did not consistently run the same set of stations on each cruise designated "Upper" vs. "Lower" cruise, but the designation indicates the general location of stations.
Data Processing:
All processing was via YSI software. Depths were calculated from pressures and all measured values expressed as depth. Up-cast data were excluded, so only down-cast data are presented.
BCO-DMO Processing Notes
- Generated from original .csv files contributed by Phil Yund
- Routine written to reformat the original .csv files into tab separated, BCO-DMO compatible files
- Header metadata removed from original files during reformatting
- Significant header metadata preserved in transect header files generated by BCO-DMO
- Parameter names edited to conform to BCO-DMO naming convention found at Choosing Parameter Name: http://usjgofs.whoi.edu/naming-guidelines.html
- ISO formatted UTC date/time added
- 29October2015/srg (data version 2) Corrected the BCO-DMO generated link between the Transect_Id and the Data Files from that Transect_Id
| File |
|---|
CTD_Downcasts.csv (Comma Separated Values (.csv), 7.76 MB) MD5:c67935fdb794c1b3a89a4e972d024c9c Primary data file for dataset ID 614744 |
| Parameter | Description | Units |
| Deployment_Id | MuLTI-2 Deployment Id | text |
| Transect_Id | MuLTI-2 Transect Id | text |
| Station_Id | CTD Station Id | text |
| Date_UTC | Date of CTD station (UTC) in the format YYYYMMDD | unitless |
| Time_UTC | Time of CTD station (UTC) | HHMMSS |
| Date_Local | Date of CTD station (Local) in the format YYYYMMDD. | unitless |
| Time_Local | Time of CTD station (Local) | HHMMSS |
| Lat_Start | CTD Station start latitude (South is negative) | decimal degrees |
| Lon_Start | CTD Station start longitude (West is negative) | decimal degrees |
| Lat_End | CTD Station end latitude (South is negative) | decimal degrees |
| Lon_End | CTD Station end longitude (West is negative) | decimal degrees |
| Cast_Duration | CTD Cast duration | seconds |
| Pressure | Pressure | decibars |
| Depth | Depth | meters |
| Temperature | Temperature | degrees Celsius |
| Conductivity | Conductivity | MicroSiemens per Centimeter |
| Specific_Conductance | Specific Conductance | MicroSiemens per Centimeter |
| Salinity | Salinity | PSU |
| Sound_Velocity | Sound_Velocity | meters/sec |
| Density | Density | kilograms/meter^3 |
| Dataset-specific Instrument Name | YSI Castaway CTD |
| Generic Instrument Name | CTD - profiler |
| Dataset-specific Description | YSI Castaway CTD
Device (2014 and 2015): CC1223007
2014 Calibration Information from headers in original .csv files:
Electronics calibration date,0001-01-01
Conductivity calibration date,2012-06-01
Temperature calibration date,2012-06-01
Pressure calibration date,2012-05-31
2015 Calibration Information from headers in original .csv files:
Electronics calibration date,0001-01-01
Conductivity calibration date,2015-02-19
Temperature calibration date,2015-02-19
Pressure calibration date,2015-02-16 |
| Generic Instrument Description | The Conductivity, Temperature, Depth (CTD) unit is an integrated instrument package designed to measure the conductivity, temperature, and pressure (depth) of the water column. The instrument is lowered via cable through the water column. It permits scientists to observe the physical properties in real-time via a conducting cable, which is typically connected to a CTD to a deck unit and computer on a ship. The CTD is often configured with additional optional sensors including fluorometers, transmissometers and/or radiometers. It is often combined with a Rosette of water sampling bottles (e.g. Niskin, GO-FLO) for collecting discrete water samples during the cast.
This term applies to profiling CTDs. For fixed CTDs, see https://www.bco-dmo.org/instrument/869934. |
| Dataset-specific Instrument Name | YSI Castaway CTD |
| Generic Instrument Name | Global Positioning System Receiver |
| Dataset-specific Description | YSI Castaway CTD with internal GPS sensor |
| Generic Instrument Description | The Global Positioning System (GPS) is a U.S. space-based radionavigation system that provides reliable positioning, navigation, and timing services to civilian users on a continuous worldwide basis. The U.S. Air Force develops, maintains, and operates the space and control segments of the NAVSTAR GPS transmitter system. Ships use a variety of receivers (e.g. Trimble and Ashtech) to interpret the GPS signal and determine accurate latitude and longitude. |
| Website | |
| Platform | R/V C-HAWK |
| Start Date | 2014-06-20 |
| End Date | 2015-07-30 |
| Description | A series of across shelf transects associated with the MuLTI-2 Project |
| Website | |
| Platform | R/V C-HAWK |
| Start Date | 2014-06-06 |
| End Date | 2015-08-27 |
| Description | A series of along shelf transects associated with the MuLTI-2 Project |
| Website | |
| Platform | R/V C-HAWK |
| Start Date | 2015-07-07 |
| End Date | 2015-08-11 |
| Description | A series of mixed (across/along) shelf transects associated with the MuLTI-2 Project |
Acronym "MuLTI-2" (Mussel Larval Transport Initiative-2)
Extracted from the NSF award abstract:
Existing larval transport models focus mainly on along-shelf transport and have done little to explicitly incorporate the effects of cross-shelf mixing and transport processes. Yet cross-shelf transits (both outgoing and incoming legs) are critical components of the dispersal paths of coastal invertebrates. This project will explore the role of cross-shelf mixing in the connectivity of blue mussel populations in eastern Maine. Previous work has shown that the Eastern Maine Coastal Current (EMCC) begins to diverge from shore southwest of the Grand Manan Channel and creates a gradient in cross-shelf mixing and larval transport, with cross-shelf mixing being more common on the northeastern end, episodic in the transitional middle area, and then becoming rare in the southwestern half of the region of the Gulf of Maine. As a result, the investigators predict that northeastern populations of mussels are seeded mostly from up-stream sources, while a significant component of self-seeding (local retention) exists in southwestern populations. Larvae settling in the intervening bays are expected to be derived from a mixture of local and up-stream sources. Using a combined empirical and theoretical approach hydrographic, current profile, and larval vertical migration data will be collected and used to develop and validate a high-resolution coastal circulation model coupled to a model of larval behavior. The investigators will model simulations in different years using the empirical data from mussel reproductive output and spawning times. Connectivity predicted from this model will be then tested against independent empirical estimates of connectivity based on trace element fingerprinting for larvae which can be connected to specific natal habitats. Regions of agreement and discrepancy in the model will be identified to guide additional data collection and model refinement. This iterative process will ensure an understanding of both larval transport patterns and processes, and provide estimates of inter-annual variability in connectivity for blue mussel populations in the Gulf of Maine.
| Funding Source | Award |
|---|---|
| NSF Division of Ocean Sciences (NSF OCE) | |
| NSF Division of Ocean Sciences (NSF OCE) | |
| NSF Division of Ocean Sciences (NSF OCE) |