http://lod.bco-dmo.org/id/dataset/566982
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2015-09-15
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Sample logs from the Fixed Station cruises of the TRANSPORT program on R/V Hugh R. Sharp (HRS110714EN, HRS120711EN) in the Choptank River, Chesapeake Bay during 2011-2012 (TRANSPORT project)
2015-09-22
publication
2015-09-22
revision
BCO-DMO Linked Data URI
2015-09-22
creation
http://lod.bco-dmo.org/id/dataset/566982
Elizabeth North
University of Maryland Center for Environmental Science
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: North, E. (2015) Sample logs from the Fixed Station cruises of the TRANSPORT program on R/V Hugh R. Sharp (HRS110714EN, HRS120711EN) in the Choptank River, Chesapeake Bay during 2011-2012 (TRANSPORT project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 3) Version Date 2015-09-22 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/566982 [access date]
Sample logs from the Fixed Station cruises of the TRANSPORT program, 2011-2012 Dataset Description: <p>Cruises were in the Choptank River to four fixed locations in July 2011 and 2012.</p> Methods and Sampling:
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-0829512 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=0829512
completed
Elizabeth North
University of Maryland Center for Environmental Science
410-221-8497
5745 Lovers Lane
Cambridge
MD
21613
USA
enorth@umces.edu
pointOfContact
asNeeded
Dataset Version: 3
Unknown
cruise_id
cruise_name
station
date
time_UTC
time_local
ISO_DateTime_UTC
yrday_UTC
lat
lon
depth_w
sal
temp
cast_ctd
depth_TSS
depth_secchi
pump_samples
pycno_type
comments
gel-net
theme
None, User defined
Cruise identfier
cruise name
station
date
time_utc
time_local
ISO_DateTime_UTC
UTC day of year and decimal time
latitude
longitude
depth_w
salinity
water temperature at measurement depth
cast
depth
depth_secchi
sample description
comments
featureType
BCO-DMO Standard Parameters
CTD Sea-Bird 9
Niskin bottle
Plankton Net
Pump
Sea-Bird SBE 43 Dissolved Oxygen Sensor
Sea-Bird SBE-3 Temperature Sensor
Sea-Bird SBE-4 Conductivity Sensor
Secchi Disc
WetLabs FLNTU
instrument
BCO-DMO Standard Instruments
HRS110714EN
HRS120711EN
service
Deployment Activity
Choptank River, Chesapeake Bay
place
Locations
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Integrating field methods and numerical models to quantify the links between larval transport, connectivity, and population dynamics
http://northweb.hpl.umces.edu/TRANSPORT/home.htm
Integrating field methods and numerical models to quantify the links between larval transport, connectivity, and population dynamics
<p>Additional information can be found at the TRANSPORT website: <a href="http://northweb.hpl.umces.edu/TRANSPORT/home.htm" target="_blank">http://northweb.hpl.umces.edu/TRANSPORT/home.htm</a></p>
<p><em>Project description:</em><br />
This coupled field-and-modeling research project is designed to address fundamental, cutting-edge questions that will significantly enhance our understanding of physical-biological interactions in planktonic organisms and quantify how pelagic life stages influence population dynamics. Technological advances in field methodology and numerical modeling will be integrated and applied to investigate and compare how circulation patterns, larval transport, sub-population connectivity, and population dynamics of the Eastern oyster, <em>Crassostrea virginica</em>, respond to environmental variability and habitat alteration. This project will provide information that will significantly enhance the restoration and management of oysters.</p>
<p>Physical-biological interactions are an integral part of understanding fish, bivalve, and crustacean early-life history and the processes that affect inter-annual variability in their recruitment to reproducing populations. The combined modeling and field approach builds on existing state-of-the-art models, it applies a new technology that will significantly advance our ability to investigate in-situ bivalve larvae dynamics, and it will generate critical information about the early life of oysters (timing of spawning, larval behavior) that is necessary for enhancing our understanding and prediction of recruitment processes.</p>
<p>This research will also advance our understanding of population dynamics of organisms with a pelagic life stages by making quantitative links between larval transport and a full life-cycle model. In doing so, it will provide improved understanding of the inter-relationships between, and relative importance of, larval transport, the connectivity of different reef systems, and adult growth, mortality, and gamete production, and how these relationships are influenced by changes in physical conditions and habitat.</p>
<p>Although focused on the oyster, <em>Crassostrea virginica</em>, the ecological studies and comparisons will result in a significant enhancement in our understanding of the interactions between physical conditions and a suite of bivalve species. This program will benefit society by providing new insights and understanding that will enhance fisheries management capabilities. The numerical tools developed will have the resolution appropriate for helping to guide oyster restoration programs, locate optimal sanctuaries (i.e., marine protected areas), and inform spatial management of oyster harvest. Although the quantitative tools and information generated will directly support oyster management and restoration activities of state and federal partners in Chesapeake Bay, the findings and tools developed in this project will be applicable to many other systems where bivalves comprise an important component of commercial and recreational fisheries. A PhD graduate student will be trained in field and numerical modeling research in this coupled field-and-modeling program. In addition to gaining a solid foundation in a cutting-edge field, the student will have the opportunity to develop science communication skills and interact with management agency representatives.</p>
<p> </p>
<p><strong>Publications Produced as a Result of this Research:</strong></p>
<p>Gallego, A., E.W. North and E.D. Houde. 2012. Understanding and quantifying mortality in pelagic, early life stages of marine organisms — Old challenges and new perspectives. Journal of Marine Systems 93: 1-3.</p>
<p>Goodwin, J. D., and E.W. North. In prep. Identifying factors that influence the swimming behavior of <em>Crassostrea virginica</em> larvae in Choptank River and calculating their mortality.</p>
<p>Goodwin, J. D., E. W. North, and C. M. Thompson. 2014. Evaluating and improving a semi-automated image analysis technique for identifying bivalve larvae. Limnology and Oceanography: Methods 12: 548-562. DOI: 10.4319/lom.2014.12.548</p>
<p>Goodwin, J. D., E. W. North, and V. S. Kennedy. 2016. Identification of eastern oyster <em>Crassostrea virginica</em> larvae using polarized light microscopy in a mesohaline region of Chesapeake Bay. Journal of Shellfish Research 35(1): 157-168.</p>
<p>Goodwin, J. D., E. W. North, C. M. Thompson, I. Mitchell and H.M McFadden. In press. Improving a semi-automated classification technique for bivalve larvae: automated image acquisition and measures of quality control. Limnology and Oceanography: Methods.</p>
<p>North, E. W., D. M. King, J. Xu, R. R. Hood, R. I. E. Newell, K. T. Paynter, M. L. Kellogg, M. K. Liddel, and D. F. Boesch. 2010. Linking optimization and ecological models in a decision support tool for oyster restoration and management. Ecological Applications 20(3): 851–866.</p>
<p>Spires, J. E., E. W. North, and W. Long. In prep. The influence of salinity-induced mortality on larval transport between eastern oyster (<em>Crassostrea virginica</em>) reefs in an oligohaline estuary: model simulations and implications for restoration. Estuaries and Coasts.</p>
<p>Thompson, C. M., E. W. North, V. S. Kennedy, and S. N. White. 2015. Classifying bivalve larvae using shell pigments identified by Raman spectra. Analytical and Bioanalytical Chemistry 407:3591-3604, DOI 10.1007/s00216-015-8575-8</p>
<p>Thompson, C.M., E.W. North, S.N. White, and S.M. Gallager. 2014. An analysis of bivalve larval shell pigments using micro-Raman spectroscopy. Journal of Raman Spectroscopy 45(5):349-358</p>
<p><strong>Dissertations and Theses:</strong></p>
<p>Goodwin, J. D. 2015. Integrating automated imaging and a novel identification technique to estimate mortality and factors that determine the vertical distribution of <em>Crassostrea virginica</em> larvae. Ph.D. Dissertation. University of Maryland College Park and the University of Maryland Center for Environmental Science.</p>
<p>Spires, J. E. The exchange of eastern oyster (<em>Crassostrea virginica</em>) larvae between subpopulations in the Chotpank and Little Choptank Rivers: model simulations, the influence of salinity, and implications for restoration. Master of Science Thesis, University of Maryland College Park and Center for Environmental Science, 79 pp.</p>
<p><strong>Books and One-Time Proceedings:</strong></p>
<p>Anthony, Z. 2014. Optimal microscope and camera settings for counting and identifying copepods (<em>Acartia tonsa</em>) using a newly developed semi-automated image analysis technology. Undergraduate Research Report. 14 pp.</p>
<p>Hinson, K. I., E.W. North, and C.M. Thompson. 2011. New technologies to support shellfish restoration. Research Experience for Undergraduates (REU) final report.</p>
<p>Mitchell, I. 2013. Updates in LTRANS v.2b. University of Maryland Center for Environmental Science, Horn Point Laboratory. Cambridge, MD. 2 pp.</p>
<p>North, E. W. 2010. Q&A: Elizabeth North. 10/01/2009-09/30/2010, ICES Insight, September 2010, vol. 47, p. 43-44.</p>
<p>Schlag, Z. R., and E. W. North. 2012. Lagrangian TRANSport model (LTRANS v.2) User’s Guide. University of Maryland Center for Environmental Science, Horn Point Laboratory. Cambridge, MD. 183 pp.</p>
TRANSPORT
largerWorkCitation
project
eng; USA
oceans
Choptank River, Chesapeake Bay
2015-09-22
0
BCO-DMO catalogue of parameters from Sample logs from the Fixed Station cruises of the TRANSPORT program on R/V Hugh R. Sharp (HRS110714EN, HRS120711EN) in the Choptank River, Chesapeake Bay during 2011-2012 (TRANSPORT project)
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/567880.rdf
Name: cruise_id
Units: unitless
Description: <p>official cruise identification</p>
http://lod.bco-dmo.org/id/dataset-parameter/567881.rdf
Name: cruise_name
Units: unitless
Description: <p>alternate name assigned to cruise</p>
http://lod.bco-dmo.org/id/dataset-parameter/567882.rdf
Name: station
Units: unitless
Description: <p>station number</p>
http://lod.bco-dmo.org/id/dataset-parameter/567883.rdf
Name: date
Units: yyyymmdd
Description: <p>date</p>
http://lod.bco-dmo.org/id/dataset-parameter/567884.rdf
Name: time_UTC
Units: HH:MM
Description: <p>UTC time</p>
http://lod.bco-dmo.org/id/dataset-parameter/567885.rdf
Name: time_local
Units: HH:MM
Description: <p>local time</p>
http://lod.bco-dmo.org/id/dataset-parameter/567886.rdf
Name: ISO_DateTime_UTC
Units: yyyy-mm-ddTHH:MM:SS[.xx]
Description: <p>UTC time; ISO formatted</p>
http://lod.bco-dmo.org/id/dataset-parameter/567887.rdf
Name: yrday_UTC
Units: unitless
Description: <p>local day and decimal time; eg. 326.5 for the 326th day of the year or November 22 at 1200 hours (noon)</p>
http://lod.bco-dmo.org/id/dataset-parameter/567888.rdf
Name: lat
Units: decimal degrees
Description: <p>latitude; north is positive</p>
http://lod.bco-dmo.org/id/dataset-parameter/567889.rdf
Name: lon
Units: decimal degrees
Description: <p>longitude; east is positive</p>
http://lod.bco-dmo.org/id/dataset-parameter/567890.rdf
Name: depth_w
Units: meters
Description: <p>depth of the water</p>
http://lod.bco-dmo.org/id/dataset-parameter/567891.rdf
Name: sal
Units: PSU
Description: <p>surface salinty</p>
http://lod.bco-dmo.org/id/dataset-parameter/567892.rdf
Name: temp
Units: degrees Celsius
Description: <p>surface temperature</p>
http://lod.bco-dmo.org/id/dataset-parameter/567893.rdf
Name: cast_ctd
Units: unitless
Description: <p>CTD cast number</p>
http://lod.bco-dmo.org/id/dataset-parameter/567894.rdf
Name: depth_TSS
Units: meters
Description: <p>depth of total suspended solids samples</p>
http://lod.bco-dmo.org/id/dataset-parameter/567895.rdf
Name: depth_secchi
Units: meters
Description: <p>Secchi depth</p>
http://lod.bco-dmo.org/id/dataset-parameter/567896.rdf
Name: pump_samples
Units: unitless
Description: <p>pump samples (2011 only): B=botton; M=middle; MS=mid-surface; S=surface</p>
http://lod.bco-dmo.org/id/dataset-parameter/567897.rdf
Name: pycno_type
Units: unitless
Description: <p>pycnocline type</p>
http://lod.bco-dmo.org/id/dataset-parameter/567898.rdf
Name: comments
Units: unitless
Description: <p>notes</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
18558
https://datadocs.bco-dmo.org/file/oAAmBEYcvnzKWB/logs_FSBT.csv
logs_FSBT.csv
Primary data file for dataset ID 566982
download
https://osprey.bco-dmo.org/dataset/566982/data/download
download
onLine
dataset
<p><strong>BCO-DMO Processing:</strong></p>
<p>- added conventional header with dataset name, PI name, version date<br />
- renamed parameters to BCO-DMO standard<br />
- created toplevel file to serve individual files as a single object<br />
- added cruise_name, cruise_id</p>
<p><strong>Versions:</strong><br />
- v3: 2015-09-22: corrected FSBT12 dates - v2: 2015-09-21: added ISO_DateTime_UTC and yrday_UTC columns<br />
- v1: 2015-09-15: served data</p>
Specified by the Principal Investigator(s)
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
PI Supplied Instrument Name: Instrument Name: CTD Sea-Bird 9 Instrument Short Name:CTD SBE 9 Instrument Description: The Sea-Bird SBE 9 is a type of CTD instrument package. The SBE 9 is the Underwater Unit and is most often combined with the SBE 11 Deck Unit (for real-time readout using conductive wire) when deployed from a research vessel. The combination of the SBE 9 and SBE 11 is called a SBE 911. The SBE 9 uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 and SBE 4). The SBE 9 CTD can be configured with auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorometer, altimeter, etc.). Note that in most cases, it is more accurate to specify SBE 911 than SBE 9 since it is likely a SBE 11 deck unit was used. more information from Sea-Bird Electronics Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/130/
PI Supplied Instrument Name: Instrument Name: Niskin bottle Instrument Short Name:Niskin bottle 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. Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/
gel-net
gel-net
PI Supplied Instrument Name: gel-net PI Supplied Instrument Description:1) Gel-net, towed vertically, for gelatinous zooplankton collection
2) Zooplankton net, 64 micron mesh Instrument Name: Plankton Net Instrument Short Name:Plankton Net Instrument Description: A Plankton Net is a generic term for a sampling net that is used to collect plankton. It is used only when detailed instrument documentation is not available. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/22/
PI Supplied Instrument Name: PI Supplied Instrument Description:Bellows pump attached to CTD with hose for collecting bivalve larvae caught on a 64 micron mesh. Instrument Name: Pump Instrument Short Name: Instrument Description: A pump is a device that moves fluids (liquids or gases), or sometimes slurries, by mechanical action. Pumps can be classified into three major groups according to the method they use to move the fluid: direct lift, displacement, and gravity pumps
PI Supplied Instrument Name: Instrument Name: Sea-Bird SBE 43 Dissolved Oxygen Sensor Instrument Short Name:SBE-43 DO 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 Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0036/
PI Supplied Instrument Name: Instrument Name: Sea-Bird SBE-3 Temperature Sensor Instrument Short Name:SBE-3 Temperature Instrument Description: The SBE-3 is a slow response, frequency output temperature sensor manufactured by Sea-Bird Electronics, Inc. (Bellevue, Washington, USA). It has an initial accuracy of +/- 0.001 degrees Celsius with a stability of +/- 0.002 degrees Celsius per year and measures seawater temperature in the range of -5.0 to +35 degrees Celsius. more information from Sea-Bird Electronics Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/134/
PI Supplied Instrument Name: Instrument Name: Sea-Bird SBE-4 Conductivity Sensor Instrument Short Name:SBE-4 Conductivity Instrument Description: The Sea-Bird SBE-4 conductivity sensor is a modular, self-contained instrument that measures conductivity from 0 to 7 Siemens/meter. The sensors (Version 2; S/N 2000 and higher) have electrically isolated power circuits and optically coupled outputs to eliminate any possibility of noise and corrosion caused by ground loops. The sensing element is a cylindrical, flow-through, borosilicate glass cell with three internal platinum electrodes. Because the outer electrodes are connected together, electric fields are confined inside the cell, making the measured resistance (and instrument calibration) independent of calibration bath size or proximity to protective cages or other objects. Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0417/
PI Supplied Instrument Name: Instrument Name: Secchi Disc Instrument Short Name:Secchi Disc Instrument Description: Typically, a 16 inch diameter white/black quadrant disc used to measure water optical clarity Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0430/
PI Supplied Instrument Name: Instrument Name: WetLabs FLNTU Instrument Short Name:FLNTU Instrument Description: The WetLabs ECO FLNTU is a dual-wavelength, single-angle sensor for simultaneously determining both chlorophyll fluorescence and turbidity. It detects light scattered by particles suspended in water, generating an output voltage proportional to turbidity or suspended solids. Scaling factors are used to convert the voltage readings to values representing chlorophyll concentration and turbidity expressed in Nephelometric Turbidity Units (NTUs). Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/113/
Cruise: HRS110714EN
HRS110714EN
R/V Hugh R. Sharp
Community Standard Description
International Council for the Exploration of the Sea
R/V Hugh R. Sharp
vessel
HRS110714EN
Elizabeth North
University of Maryland Center for Environmental Science
http://dmoserv3.bco-dmo.org/data_docs/TRANSPORT/2011cruise_reports/TRANSPORT_Cruise_Report_FSBT11.pdf
Report describing HRS110714EN
Cruise: HRS120711EN
HRS120711EN
R/V Hugh R. Sharp
Community Standard Description
International Council for the Exploration of the Sea
R/V Hugh R. Sharp
vessel
HRS120711EN
Elizabeth North
University of Maryland Center for Environmental Science
http://dmoserv3.bco-dmo.org/data_docs/TRANSPORT/2012cruise_reports/TRANSPORT_Cruise_Report_FSBT12.pdf
Report describing HRS120711EN
R/V Hugh R. Sharp
Community Standard Description
International Council for the Exploration of the Sea
R/V Hugh R. Sharp
vessel