http://lod.bco-dmo.org/id/dataset/707094
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
2017-06-29
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Species composition via MOCNESS and associated CTD information collected on R/V Hugh R. Sharp (HRS1316, HRS1317) in the Chesapeake Bay from August to September in 2013.
2017-06-28
publication
2017-06-28
revision
BCO-DMO Linked Data URI
2017-06-28
creation
http://lod.bco-dmo.org/id/dataset/707094
Michael R. Roman
University of Maryland Center for Environmental Science
principalInvestigator
James J. Pierson
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: Roman, M. R., Pierson, J. J. (2017) Species composition via MOCNESS and associated CTD information collected on R/V Hugh R. Sharp (HRS1316, HRS1317) in the Chesapeake Bay from August to September in 2013. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2017-06-28 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/707094 [access date]
Species composition via MOCNESS and associated CTD information Dataset Description: <p>Species composition via MOCNESS and associated CTD information</p> Methods and Sampling: <p>This abundance data was obtained from two week-long cruises (1301 in August and 1302 in September) during which MOCNESS samples were taken from the mid-bay of the Chesapeake from 9 stations in a box formation; 3 stations in a northern transect across the bay (N1-N3), 3 in a midline transect (M1-M3), and 3 in a southern transect (S1-S3).</p>
<p>The MOCNESS had a 0.5 meter square opening for each of 5 nets, which were 200um mesh. It was deployed from the aft A-frame of the RV Sharp, along with an array of sensors connected to the MOCNESS frame, including Sea-Bird temperature, salinity, and dissolved oxygen (SBE 43) sensors, a WetLabs FLNTU to measure chlorophyll a fluorescence and turbidity, and a LiCor 4π PAR sensor.</p>
<p>A CTD cast was done at each station prior to sampling with the MOCNESS. Sampling depths were determined based on the location of the pycnocline; the aim was to capture zooplankton below, within, and above the pycnocline. A drogue net (net 0) without a codend was used to deploy the MOCNESS to within 3m of the bottom. On the upcast, nets were triggered to close electronically from the wet lab so that they captured a depth range representing one of the three areas of interest.</p>
<p>Once brought on board, the nets were rinsed down with filtered seawater (provided by the Hugh R. Sharp) to collect plankton in the codend. Codends were filtered onto 64um sieves, then the samples were transferred to glass jars labeled on the inside and outside with the cast number, date, time, net number, and depth sampled. Sieves with 64um mesh were selected to catch all life stages of the copepod Acartia tonsa since Acartia tonsa eggs are about 75um in diameter and all subsequent life stages are larger. Buffered formalin was added to preserve the sample in a 4% solution, and then the jars were stores in labeled boxes.</p>
<p>After returning from the cruises, samples were stored indoors in climate-controlled laboratory space. To process the samples, the contents of the jars were filtered onto 64um mesh (to avoid loss of organisms), resuspended, and a subsample taken with a stemple pipette was transferred to a counting wheel where it was checked for density and diluted if necessary, the goal being at least 200 individuals of Acartia tonsa present but less than 300.</p>
<p>The sample was then examined for species composition under dissecting microscope with darkfield illumination. All organisms were identified to lowest possible taxonomic level. When species composition analysis was complete, the processed aliquot was photographed for size measurements and stored in 4% buffered formalin solution in a glass vial. The unused portion of the sample was returned to the original glass jar and returned to storage.</p>
<p>Abundance data were entered into Excel spreadsheets and checked for transcription errors, then imported into MatLab for data analysis.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1259691 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1259691
completed
Michael R. Roman
University of Maryland Center for Environmental Science
410-221-8425
Horn Point Laboratory 2020 Horns Point Road
Cambridge
MD
21613
USA
roman@umces.edu
pointOfContact
James J. Pierson
University of Maryland Center for Environmental Science
410-221-8218
Horn Point Laboratory 2020 Horns Point Road
Cambridge
MD
21613
USA
jpierson@umces.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
cruise
MOC
NET
year
month_GMT
day_GMT
DOY_day_GMT
hour_GMT
minute_GMT
second_GMT
DOY_GMT
lat
lon
vol
temp
salt
Ox
fluor
turb
PAR
startLat
endLat
startLon
endLon
upDepth
lowDepth1
angle
distance
openArea
idx
cruise2
date_EDT
station
time_EDT
DOY_EDT
gear
mesh_size
cast_num
net
lowDepth2
high_depth
splits
dilution
subsample_size
genus
species
stage
count
num_per_m3
volume_filtered
abundM3
abundM2
CTD_number
CTD_DOY_GMT
CTD_temperature
CTD_salinity
CTD_sigma_t
CTD_Ox__mgperL
CTD_fluorescence
CTD_depth
comments
CTD MOCNESS
theme
None, User defined
Cruise identfier
sample identification
year
month of year
day of month
Julian day as a decimal (time elapsed in days from 00:00 on January 1st 4713 BC)
hour_gmt
minute_gmt
seconds_gmt
latitude
longitude
volume of water filtered
water temperature at measurement depth
salinity
dissolved Oxygen
fluorescence
turbidity
PAR
depth_min
depth_max
angle of tow body relative to vertical
No BCO-DMO term
date_local
station
time_local
brief description
net mesh size
cast
dilution
genus
species scientific name (binomial)
stage
count
abundance
sigma-t
dissolved organic Carbon
depth
comments
featureType
BCO-DMO Standard Parameters
CTD MOCNESS
instrument
BCO-DMO Standard Instruments
HRS1316
HRS1317
service
Deployment Activity
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.
Copepod Population Dynamics in Hypoxic Coastal Waters: Physical and Behavioral Regulation of Resupply and Advective Losses
https://osprey.bco-dmo.org/project/555546
Copepod Population Dynamics in Hypoxic Coastal Waters: Physical and Behavioral Regulation of Resupply and Advective Losses
<p><em>Description from NSF award abstract:</em><br />
The PIs will develop a mechanistic understanding of how circulation interacts with hypoxia-induced behavioral and physiological changes to affect the population dynamics of coastal zooplankton. They will do this by assessing two potentially contrasting mechanisms influencing the dynamics of the copepod <em>Acartia tonsa</em> in the hypoxic zone of Chesapeake Bay. The first hypothesis is that maintenance of copepod populations in the hypoxic region requires replenishment by advection (immigration) of animals through wind-driven lateral transport processes. The second, counteractive, hypothesis is that bottom water hypoxia alters the vertical distribution of <em>A. tonsa</em>, thereby making them more susceptible to advective losses from the region (emigration) via surface water transport in the estuarine circulation. They will take advantage of a current NSF-funded physical oceanography research program in Chesapeake Bay that will comprehensively measure and model axial and lateral water exchanges in the mid-Bay region.</p>
<p>The present study will use the physical oceanography study site as a Controlled Volume (CV) in which the oceanographic exchanges of water and the driving mechanisms for those exchanges will be well defined. The PIs will conduct high-resolution spatial and temporal sampling of zooplankton and combine the data with measurements of copepod behavior, mortality and egg production in the hypoxic region. They will use an improved Individual-Based Model of the life history of <em>A. tonsa</em> coupled with the circulation to explore the combined effects of advection, behavior, egg production, and mortality on population dynamics. In addition to increasing our knowledge of the impacts of bottom water hypoxia on copepod populations in Chesapeake Bay, the study will improve our general understanding of the regulation of zooplankton populations by physical and biological processes and the impacts of hypoxia on secondary production and food webs in coastal waters.</p>
CopesPopDynHypoZone
largerWorkCitation
project
eng; USA
biota
oceans
Chesapeake Bay
-76.5103
-76.2741
38.3589
38.5761
2013-08-25
2013-09-17
hypoxic zone of Chesapeake Bay
0
BCO-DMO catalogue of parameters from Species composition via MOCNESS and associated CTD information collected on R/V Hugh R. Sharp (HRS1316, HRS1317) in the Chesapeake Bay from August to September in 2013.
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/709008.rdf
Name: cruise
Units: unitless
Description: <p>Designation cruise 1301 or 1302; a week-long plankton survey in August and September respectively.</p>
http://lod.bco-dmo.org/id/dataset-parameter/709009.rdf
Name: MOC
Units: unitless
Description: <p>Number ID of each MOCNESS cast as recorded by the MOCNESS software</p>
http://lod.bco-dmo.org/id/dataset-parameter/709010.rdf
Name: NET
Units: unitless
Description: <p>Number ID of each net used during a MOCNESS cast as recorded by the MOCNESS software</p>
http://lod.bco-dmo.org/id/dataset-parameter/709011.rdf
Name: year
Units: unitless
Description: <p>Year as recorded by the MOCNESS software; YYYY</p>
http://lod.bco-dmo.org/id/dataset-parameter/709012.rdf
Name: month_GMT
Units: unitless
Description: <p>GMT month as recorded by MOCNESS software; MM</p>
http://lod.bco-dmo.org/id/dataset-parameter/709013.rdf
Name: day_GMT
Units: unitless
Description: <p>GMT day as recorded by MOCNESS software; DD</p>
http://lod.bco-dmo.org/id/dataset-parameter/709014.rdf
Name: DOY_day_GMT
Units: decimal day
Description: <p>Numeric day of year calculated from year, month, and day as recorded by MOCNESS software</p>
http://lod.bco-dmo.org/id/dataset-parameter/709015.rdf
Name: hour_GMT
Units: hours
Description: <p>GMT hour as recorded by MOCNESS software</p>
http://lod.bco-dmo.org/id/dataset-parameter/709016.rdf
Name: minute_GMT
Units: minutes
Description: <p>GMT minute as recorded by MOCNESS software</p>
http://lod.bco-dmo.org/id/dataset-parameter/709017.rdf
Name: second_GMT
Units: seconds
Description: <p>GMT second as recorded by MOCNESS software</p>
http://lod.bco-dmo.org/id/dataset-parameter/709018.rdf
Name: DOY_GMT
Units: decimal day
Description: <p>Day of year calculation using MOCNESS recorded GMT time</p>
http://lod.bco-dmo.org/id/dataset-parameter/709019.rdf
Name: lat
Units: decimal degrees
Description: <p>Average latitude traveled during collection for each net</p>
http://lod.bco-dmo.org/id/dataset-parameter/709020.rdf
Name: lon
Units: decimal degrees
Description: <p>Average longitude traveled during collection for each net</p>
http://lod.bco-dmo.org/id/dataset-parameter/709021.rdf
Name: vol
Units: cubic meters
Description: <p>Volume filtered by each net during each cast, as recorded by MOCNESS software</p>
http://lod.bco-dmo.org/id/dataset-parameter/709022.rdf
Name: temp
Units: degrees Celsius
Description: <p>Water temperature recorded by MOCNESS sensors during each cast</p>
http://lod.bco-dmo.org/id/dataset-parameter/709023.rdf
Name: salt
Units: Practical Salinity Units (PSU)
Description: <p>Salinity recorded by MOCNESS sensors during each cast</p>
http://lod.bco-dmo.org/id/dataset-parameter/709024.rdf
Name: Ox
Units: milligrams per liter
Description: <p>Oxygen level recorded by MOCNESS sensors during each cast</p>
http://lod.bco-dmo.org/id/dataset-parameter/709025.rdf
Name: fluor
Units: milligrams per meter cubed
Description: <p>Fluorescence recorded by MOCNESS sensors during each cast</p>
http://lod.bco-dmo.org/id/dataset-parameter/709026.rdf
Name: turb
Units: Nephelometric Turbidity Units (NTU)
Description: <p>Turbidity recorded by MOCNESS sensors during each cast</p>
http://lod.bco-dmo.org/id/dataset-parameter/709027.rdf
Name: PAR
Units: Watts/meters squared
Description: <p>Photosynthetically active radiation recorded by MOCNESS sensors during each cast</p>
http://lod.bco-dmo.org/id/dataset-parameter/709028.rdf
Name: startLat
Units: decimal degrees
Description: <p>Latitude at the time the net opened</p>
http://lod.bco-dmo.org/id/dataset-parameter/709029.rdf
Name: endLat
Units: decimal degrees
Description: <p>Latitude at the time the same net closed</p>
http://lod.bco-dmo.org/id/dataset-parameter/709030.rdf
Name: startLon
Units: decimal degrees
Description: <p>Longitude at the time the net opened</p>
http://lod.bco-dmo.org/id/dataset-parameter/709031.rdf
Name: endLon
Units: decimal degrees
Description: <p>Longitude at the time the net closed</p>
http://lod.bco-dmo.org/id/dataset-parameter/709032.rdf
Name: upDepth
Units: meters
Description: <p>Upper limit of depth traversed while the net was open</p>
http://lod.bco-dmo.org/id/dataset-parameter/709033.rdf
Name: lowDepth1
Units: meters
Description: <p>Lower limit of the depth traversed while the net was open</p>
http://lod.bco-dmo.org/id/dataset-parameter/709034.rdf
Name: angle
Units: degrees
Description: <p>The angle of the tow line for the MOCNESS, with vertical being 0 and horizontal being 90</p>
http://lod.bco-dmo.org/id/dataset-parameter/709035.rdf
Name: distance
Units: meters
Description: <p>Horizontal distance the ship traveled while the net was open</p>
http://lod.bco-dmo.org/id/dataset-parameter/709036.rdf
Name: openArea
Units: meters squared
Description: <p>The open area of the net face- calculated from the size of the net opening when held vertically and the angle of the tow line</p>
http://lod.bco-dmo.org/id/dataset-parameter/709037.rdf
Name: idx
Units: unitless
Description: <p>Unique numeric ID for each row of data</p>
http://lod.bco-dmo.org/id/dataset-parameter/709038.rdf
Name: cruise2
Units: unitless
Description: <p>Designation cruise 1301 or 1302; a week-long plankton survey in August and September respectively</p>
http://lod.bco-dmo.org/id/dataset-parameter/709039.rdf
Name: date_EDT
Units: unitless
Description: <p>Gergorian claendar date as recorded in the cruise log; YYYY/MM/DD</p>
http://lod.bco-dmo.org/id/dataset-parameter/709040.rdf
Name: station
Units: unitless
Description: <p>Station ID as recorded in the cruise log</p>
http://lod.bco-dmo.org/id/dataset-parameter/709041.rdf
Name: time_EDT
Units: unitless
Description: <p>Time in EDT as recorded in the cruise log; HH:MM</p>
http://lod.bco-dmo.org/id/dataset-parameter/709042.rdf
Name: DOY_EDT
Units: decimal day
Description: <p>Day of year calculation using cruise log EDT time</p>
http://lod.bco-dmo.org/id/dataset-parameter/709043.rdf
Name: gear
Units: unitless
Description: <p>Description of collection gear used. For this data set, only the MOCNESS was used</p>
http://lod.bco-dmo.org/id/dataset-parameter/709044.rdf
Name: mesh_size
Units: microns
Description: <p>Size of pores in mesh of MOCENSS nets</p>
http://lod.bco-dmo.org/id/dataset-parameter/709045.rdf
Name: cast_num
Units: unitless
Description: <p>Number ID of each MOCNESS cast as recorded in cruise log</p>
http://lod.bco-dmo.org/id/dataset-parameter/709046.rdf
Name: net
Units: unitless
Description: <p>Number ID of each net used during a MOCNESS cast as recorded in cruise log</p>
http://lod.bco-dmo.org/id/dataset-parameter/709047.rdf
Name: lowDepth2
Units: meters
Description: <p>Lower limit of the depth traversed by a single net as recorded in cruise log</p>
http://lod.bco-dmo.org/id/dataset-parameter/709048.rdf
Name: high_depth
Units: meters
Description: <p>Upper limit of the depth traversed by a single net as recorded in cruise log</p>
http://lod.bco-dmo.org/id/dataset-parameter/709049.rdf
Name: splits
Units: count
Description: <p>Number of times the sample gathered by the specific cast and net was split into two equal portions via plankton splitter</p>
http://lod.bco-dmo.org/id/dataset-parameter/709050.rdf
Name: dilution
Units: milliliters
Description: <p>Amount of water added to sample to reach the desired concentration of >= 200 Acartia/subsample</p>
http://lod.bco-dmo.org/id/dataset-parameter/709051.rdf
Name: subsample_size
Units: milliliters
Description: <p>Amount of sample (in diluted state, if applicable) examined for species composition</p>
http://lod.bco-dmo.org/id/dataset-parameter/709052.rdf
Name: genus
Units: unitless
Description: <p>Genus or least specific identifier of organism in sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/709053.rdf
Name: species
Units: unitless
Description: <p>Species or most specific identifier of organism in sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/709054.rdf
Name: stage
Units: unitless
Description: <p>Life stage of organism in sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/709055.rdf
Name: count
Units: number of organism/subsample
Description: <p>Total number of organism found in subsample</p>
http://lod.bco-dmo.org/id/dataset-parameter/709056.rdf
Name: num_per_m3
Units: number of organism/cubic meter
Description: <p>Concentration of organism per cubic meter calculated from dilutions, splits, and Volume_Filtered data</p>
http://lod.bco-dmo.org/id/dataset-parameter/709057.rdf
Name: volume_filtered
Units: cubic meters
Description: <p>Volume filtered by each net during each cast, as recorded by MOCNESS software, augmented by record in operator log where necessary</p>
http://lod.bco-dmo.org/id/dataset-parameter/709058.rdf
Name: abundM3
Units: number of organism/cubic meter
Description: <p>Concentration of organism per cubic meter calculated from dilutions, splits, and Vol data</p>
http://lod.bco-dmo.org/id/dataset-parameter/709059.rdf
Name: abundM2
Units: number of organism/ meter squared
Description: <p>Abundance of organism per meter squared calculated from AbundM3 and total depth traversed by net</p>
http://lod.bco-dmo.org/id/dataset-parameter/709060.rdf
Name: CTD_number
Units: unitless
Description: <p>Number ID of each CTD cast corresponding to each MOCNESS tow</p>
http://lod.bco-dmo.org/id/dataset-parameter/709061.rdf
Name: CTD_DOY_GMT
Units: decimal day
Description: <p>Numeric day of year calculated from year, month, and day as recorded by CTD</p>
http://lod.bco-dmo.org/id/dataset-parameter/709062.rdf
Name: CTD_temperature
Units: degrees Celsius
Description: <p>Water temperature recorded by CTD sensors during each cast; binned into 0.5m depths and then averaged over the depth range of the MOCNESS net</p>
http://lod.bco-dmo.org/id/dataset-parameter/709063.rdf
Name: CTD_salinity
Units: PSU
Description: <p>Salinity recorded by CTD sensors during each cast; binned into 0.5m depths and then averaged over the depth range of the MOCNESS net</p>
http://lod.bco-dmo.org/id/dataset-parameter/709064.rdf
Name: CTD_sigma_t
Units: milligrams per liter
Description: <p>Density recorded by CTD sensors during each cast; binned into 0.5m depths and then averaged over the depth range of the MOCNESS net</p>
http://lod.bco-dmo.org/id/dataset-parameter/709065.rdf
Name: CTD_Ox__mgperL
Units: milligrams per liter
Description: <p>Dissolved oxygen recorded by CTD sensors during each cast; binned into 0.5m depths and then averaged over the depth range of the MOCNESS net</p>
http://lod.bco-dmo.org/id/dataset-parameter/709066.rdf
Name: CTD_fluorescence
Units: milligrams per meter cubed
Description: <p>Fluorescence recorded by CTD sensors during each cast; binned into 0.5m depths and then averaged over the depth range of the MOCNESS net</p>
http://lod.bco-dmo.org/id/dataset-parameter/709067.rdf
Name: CTD_depth
Units: meters
Description: <p>Depth recorded by CTD sensors during each cast; binned into 0.5m depths and then averaged over the depth range of the MOCNESS net</p>
http://lod.bco-dmo.org/id/dataset-parameter/709068.rdf
Name: comments
Units: unitless
Description: <p>Comments from sample counter regarding sample processing</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
2197430
https://datadocs.bco-dmo.org/file/yppzBryS7XYl01/MOC.csv
MOC.csv
Primary data file for dataset ID 707094
download
https://osprey.bco-dmo.org/dataset/707094/data/download
download
onLine
dataset
<p>This abundance data was obtained from two week-long cruises (1301 in August and 1302 in September) during which MOCNESS samples were taken from the mid-bay of the Chesapeake from 9 stations in a box formation; 3 stations in a northern transect across the bay (N1-N3), 3 in a midline transect (M1-M3), and 3 in a southern transect (S1-S3).</p>
<p>The MOCNESS had a 0.5 meter square opening for each of 5 nets, which were 200um mesh. It was deployed from the aft A-frame of the RV Sharp, along with an array of sensors connected to the MOCNESS frame, including Sea-Bird temperature, salinity, and dissolved oxygen (SBE 43) sensors, a WetLabs FLNTU to measure chlorophyll a fluorescence and turbidity, and a LiCor 4π PAR sensor.</p>
<p>A CTD cast was done at each station prior to sampling with the MOCNESS. Sampling depths were determined based on the location of the pycnocline; the aim was to capture zooplankton below, within, and above the pycnocline. A drogue net (net 0) without a codend was used to deploy the MOCNESS to within 3m of the bottom. On the upcast, nets were triggered to close electronically from the wet lab so that they captured a depth range representing one of the three areas of interest.</p>
<p>Once brought on board, the nets were rinsed down with filtered seawater (provided by the Hugh R. Sharp) to collect plankton in the codend. Codends were filtered onto 64um sieves, then the samples were transferred to glass jars labeled on the inside and outside with the cast number, date, time, net number, and depth sampled. Sieves with 64um mesh were selected to catch all life stages of the copepod Acartia tonsa since Acartia tonsa eggs are about 75um in diameter and all subsequent life stages are larger. Buffered formalin was added to preserve the sample in a 4% solution, and then the jars were stores in labeled boxes.</p>
<p>After returning from the cruises, samples were stored indoors in climate-controlled laboratory space. To process the samples, the contents of the jars were filtered onto 64um mesh (to avoid loss of organisms), resuspended, and a subsample taken with a stemple pipette was transferred to a counting wheel where it was checked for density and diluted if necessary, the goal being at least 200 individuals of Acartia tonsa present but less than 300.</p>
<p>The sample was then examined for species composition under dissecting microscope with darkfield illumination. All organisms were identified to lowest possible taxonomic level. When species composition analysis was complete, the processed aliquot was photographed for size measurements and stored in 4% buffered formalin solution in a glass vial. The unused portion of the sample was returned to the original glass jar and returned to storage.</p>
<p>Abundance data were entered into Excel spreadsheets and checked for transcription errors, then imported into MatLab for data analysis.</p>
Specified by the Principal Investigator(s)
<p>MOCNESS electronic data was post processed using a series of MATLAB scripts to read the raw and processed&nbsp;data,&nbsp;and to calculate summary statistics for each net. These are usually generated from the MOCNESS software in a “.TAB” file for each cruise, but the MOCNESS program does not use the incoming GPS data for calculation of time and instead used computer time. The MOCNESS scripts calculate time and location using GPS and also include the time from the computer.</p>
<p>Zooplankton samples were sorted under a stereo dissecting microscope within two years of collection.&nbsp;Sub samples&nbsp;were taken with a&nbsp;stempel&nbsp;pipet such that a minimum of 200 individuals&nbsp;were&nbsp;counted from each sample. Zooplankton&nbsp;were&nbsp;identified to lowest possible taxonomic level, to species where possible for copepods, and copepod adults were sexed.</p>
<p><strong>BCO-DMO Data Processing Notes:</strong></p>
<p>- replaced blank cells with nd<br />
- reformatted column names to comply with BCO-DMO standards<br />
- reformated&nbsp;dates to YYYY/MM/DD</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
CTD MOCNESS
CTD MOCNESS
PI Supplied Instrument Name: CTD MOCNESS PI Supplied Instrument Description:Used for water sampling Instrument Name: CTD MOCNESS Instrument Short Name:CTD MOCNESS Instrument Description: The CTD part of the MOCNESS includes 1) a pressure (depth) sensor which is a thermally isolated titanium strain gauge with a standard range of 0-5000 decibars full scale, 2) A Sea Bird temperature sensor whose frequency output is measured and sent to the surface for logging and conversion to temperature by the software in the MOCNESS computer (The system allows better than 1 milli-degree resolution at 10 Hz sampling rate), and 3) A Sea Bird conductivity sensor whose output frequency is measured and sent to the surface for logging and conversion to conductivity by the software in the computer (The system allows better than 1 micro mho/cm at 10 Hz sampling rate). The data rate depends on the speed of the computer and the quality of the cable. With a good cable, the system can operate at 2400 baud, sampling all variables at 2 times per second. One sample every 4 seconds is the default, although the hardware can operate much faster. (From The MOCNESS Manual) Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/131/
Cruise: HRS1316
HRS1316
R/V Hugh R. Sharp
Community Standard Description
International Council for the Exploration of the Sea
R/V Hugh R. Sharp
vessel
HRS1316
Michael R. Roman
University of Maryland Center for Environmental Science
http://ezid.cdlib.org/id/doi:10.7284/902881
Report describing HRS1316
Cruise: HRS1317
HRS1317
R/V Hugh R. Sharp
Community Standard Description
International Council for the Exploration of the Sea
R/V Hugh R. Sharp
vessel
HRS1317
Michael R. Roman
University of Maryland Center for Environmental Science
http://ezid.cdlib.org/id/doi:10.7284/902882
Report describing HRS1317
R/V Hugh R. Sharp
Community Standard Description
International Council for the Exploration of the Sea
R/V Hugh R. Sharp
vessel