http://lod.bco-dmo.org/id/dataset/809428
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
2020-04-15
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
CTD profile data from R/V Pt. Sur PS 18-09 Legs 01 and 03, Sept. - Oct. 2017
2020-04-15
publication
2020-04-15
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2021-01-11
publication
https://doi.org/10.26008/1912/bco-dmo.809428.1
Lisa Campbell
Texas A&M University
principalInvestigator
Anthony Knap
Texas A&M University
principalInvestigator
Steven DiMarco
Texas A&M University
principalInvestigator
Darren W. Henrichs
Texas A&M University
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
documentDigital
Cite this dataset as: Campbell, L., Knap, A., Henrichs, D. W., DiMarco, S. (2020) CTD profile data from R/V Pt. Sur PS 18-09 Legs 01 and 03, Sept. - Oct. 2017. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-04-15 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.809428.1 [access date]
HRR ctd Dataset Description: <p>Processed CTD profile data from all electronic sensors mounted on rosette from R/V Pt. Sur PS 18-09 Legs 01 and 03, Hurricane Harvey RAPID Response cruise (western Gulf of Mexico) September-October 2017.</p> Acquisition Description: <p>Raw hex datafiles were produced by the CTD were processed using manufacturer-supplied software, Seabird SeaSave.&nbsp;SBE Data Processing Version 7.26.6.28 was used to process the raw Sea-Bird CTD data (.hex) into a human-readable format (.cnv). The order of functions ran via SBE Data Processing was:</p>
<p>1. Data Conversion: to convert hex-files into human readable format;<br />
2. Filter: apply low-pass filter to collected data;<br />
3, Align CTD: to temporally align T and C sensors. Time constant equals 3.5 s (Gulf of Mexico);<br />
4. Cell Thermal Mass: applies thermal mass correct;<br />
5. Loop Edit: to remove effects of ship heave;<br />
6. Derive: to estimate derived quantities such as salinity, density, dissolved oxygen concentration, potential temperature, etc; and<br />
7. Bin Average: average data into vertical bins, downcast only.</p>
<p>See zipped metadata of individual files for date of calibration and calibration coefficients - Supplemental Files, below.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1760620
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1760381 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1760381
completed
Lisa Campbell
Texas A&M University
979-845-5706
3146 TAMU, Department of Oceanography Texas A&M University
College Station
Texas
77843
USA
lisacampbell@tamu.edu
pointOfContact
Anthony Knap
Texas A&M University
441-297-1880 ext. 244 or 237
Bermuda Institute of Ocean Sciences 17 Biological Lane
St. George's
GE 01
Bermuda
tony.knap@bios.edu
pointOfContact
Steven DiMarco
Texas A&M University
sdimarco@tamu.edu
pointOfContact
Darren W. Henrichs
Texas A&M University
979-845-5738
3146 TAMU, Department of Oceanography Texas A&M University
College Station
Texas
77843
USA
dhenrichs@tamu.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
file_name
HHR_leg
station
lat_decdeg
lon_decdeg
ISO_DateTime_UTC
prDM
t090C
t190C
c0S_m
sal00_1
sal11
sbeox0V
sbeox0ML_L_1
sbeox1V
sbeox1ML_L_1
cpar
CStarAt0
CStarTr0
par
wetCDOM
flECO_AFL
depSM
sal00_2
sigma_e00
sbeox0ML_L_2
sbeox1ML_L_2
potemp090C
potemp190C
flag
CTD system (11plus V 5.2)
theme
None, User defined
flag
leg of cruise
station
latitude
longitude
ISO_DateTime_UTC
water pressure
water temperature
conductivity
salinity calculated from CTD primary sensors
Oxygen in volts
dissolved Oxygen
PAR
beam attenuation
transmission
colored dissolved organic matter
depth
sigma-theta
potential temperature
featureType
BCO-DMO Standard Parameters
CTD Sea-Bird SBE 911plus
instrument
BCO-DMO Standard Instruments
PS1809
service
Deployment Activity
Western Gulf of Mexico, Continental Shelf, Louisiana and Texas coasts
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.
RAPID: Hurricane Impact on Phytoplankton Community Dynamics and Metabolic Response
https://www.bco-dmo.org/project/715170
RAPID: Hurricane Impact on Phytoplankton Community Dynamics and Metabolic Response
<p>This project was recently funded by NSF award OCE-1760620. More information will be added as it becomes available.</p>
<p><strong>Project summary from NSF RAPID proposal:</strong><br /><em>Overview: </em>Tropical cyclones (hurricanes and tropical storms) can produce substantial impacts in marine ecosystems, including alteration of tidal regimes, upwelling, vertical mixing, sediment resuspension, and terrestrial runoff that affect estuaries, coastal areas and the open ocean. The drastic perturbations following tropical cyclones have also been shown to produce immediate shifts in phytoplankton community composition. High temporal resolution observations from the Imaging FlowCytobot (IFCB) revealed that hurricanes in the Gulf of Mexico (GOM) initially caused blooms of diatoms, which subsequently were replaced by blooms of dinoflagellates. This change in the community structure was hypothesized to be related to the ability of dinoflagellates compared to diatoms to assimilate organic nitrogen compounds supplied by the high river discharge that resulted from the rainfall. This RAPID project will address two hypotheses:<br />
1. Community structure will be a flagellate-dominated system as long as the high river discharge continues. Community structure will shift to a diatom-dominated system when environmental conditions return to normal. Continuous, high temporal resolution data from the IFCB time series will provide estimates of abundance and biovolume to assess the temporal variability of phytoplankton from the aftermath of the hurricane until the return to normal conditions.<br />
2. Nitrogen will be the main driver of shifts in community metabolic responses.<br />
Analysis of gene expression profiles, environmental conditions, and water quality parameters will provide a time series of metabolic functional responses. Metatranscriptomic analysis may also provide insight into taxa-specific metabolic responses related to nutrient and other environmental stresses as a consequence of Hurricane Harvey.</p>
<p>We propose two rapid response cruises to sample at 5 sites along a transect from Galveston to Port Aransas. At each station, CTD profiles and water samples from surface and the chlorophyll maximum for nutrient and carbonate chemistry analysis and RNA sequencing will be collected. Concurrently, the IFCB will operate continuously onboard for comparison with the ongoing time series at Surfside Beach. If the water column is strongly stratified, samples will be collected at the low salinity surface layer and the high salinity deeper layer. Time series analyses of the response of the phytoplankton community will include high frequency data of physical and hydrological variables, water quality measurements, and metatranscriptome analyses. Results will provide novel insights on the impact that extreme hurricanes exert on the phytoplankton community and ultimately in ecosystem functioning and resilience.</p>
<p><em>Intellectual Merit: </em>Hurricane Harvey is the strongest hurricane to hit the GOM in decades; therefore, the impact of this hurricane on the phytoplankton community may be unprecedented in terms of response and duration. It is unknown how the phytoplankton community will respond and the time to return to "normal" condition. Immediate high temporal resolution sampling is the only way to fully capture the effects of tropical cyclones on coastal phytoplankton communities. And, in combination with metatranscriptomic analysis, the time series of metabolic responses can be elucidated.</p>
<p><em>Broader Impacts: </em>If extreme storms are predicted to increase with future climate change, the taxa-specific responses provided by the IFCB time series are tremendously valuable for detecting changes, which have implications for ecosystem functioning. Over the past decade, the high temporal resolution phytoplankton time series at TOAST has proven to be invaluable in providing early warning for 8 harmful algal blooms. Given the unknown impact of Hurricane Harvey on the Texas coast (or the duration of the impact), the IFCB time series are invaluable to resource managers. Time series data have been successfully implemented into undergraduate Oceanography laboratory courses at TAMU to teach the value of ocean observing and assessment to the students' lives. Data from this Hurricane Harvey rapid response will also be included in future problem sets for students. As a strategy for targeting general audiences, outcomes of this project will also be produced for "On the Ocean", a weekly radio program on KAMU, the public radio station on TAMU campus; podcasts are also archived linked to the Oceanography department's website.</p>
<p><strong>Related data from the The Texas Observatory for Algal Succession Time-Series (TOAST) can be found at the following:</strong><br /><a href="http://toast.tamu.edu/HRR_cruise">http://toast.tamu.edu/HRR_cruise</a></p>
HRR
largerWorkCitation
project
eng; USA
oceans
Western Gulf of Mexico, Continental Shelf, Louisiana and Texas coasts
-97.2683
-93.5325
27.0932
29.4907
2017-09-23
2017-10-01
Texas coast
0
BCO-DMO catalogue of parameters from CTD profile data from R/V Pt. Sur PS 18-09 Legs 01 and 03, Sept. - Oct. 2017
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/809448.rdf
Name: file_name
Units: unitless
Description: name of the originators file
http://lod.bco-dmo.org/id/dataset-parameter/809449.rdf
Name: HHR_leg
Units: unitless
Description: cruise leg identifier
http://lod.bco-dmo.org/id/dataset-parameter/809450.rdf
Name: station
Units: unitless
Description: station identifier
http://lod.bco-dmo.org/id/dataset-parameter/809451.rdf
Name: lat_decdeg
Units: decimal degrees
Description: latitude with positive values indicating North
http://lod.bco-dmo.org/id/dataset-parameter/809452.rdf
Name: lon_decdeg
Units: decimal degrees
Description: longitude with negative values indicating West
http://lod.bco-dmo.org/id/dataset-parameter/809453.rdf
Name: ISO_DateTime_UTC
Units: yyyy-MM-dd'T'HH:mm:ss'Z'
Description: Date and time in UTC following ISO8601 format
http://lod.bco-dmo.org/id/dataset-parameter/809454.rdf
Name: prDM
Units: decibar (db)
Description: Pressure
http://lod.bco-dmo.org/id/dataset-parameter/809455.rdf
Name: t090C
Units: degrees Celsius (C)
Description: Temperature ITS-90
http://lod.bco-dmo.org/id/dataset-parameter/809456.rdf
Name: t190C
Units: degrees Celsius (C)
Description: Temperature 2 ITS-90
http://lod.bco-dmo.org/id/dataset-parameter/809457.rdf
Name: c0S_m
Units: Siemens per meter (S/m)
Description: Conductivity
http://lod.bco-dmo.org/id/dataset-parameter/809458.rdf
Name: sal00_1
Units: PSU
Description: Practical Salinity
http://lod.bco-dmo.org/id/dataset-parameter/809459.rdf
Name: sal11
Units: PSU
Description: Practical Salinity
http://lod.bco-dmo.org/id/dataset-parameter/809460.rdf
Name: sbeox0V
Units: volts (V)
Description: Oxygen raw SBE 43 from primary sensor
http://lod.bco-dmo.org/id/dataset-parameter/809461.rdf
Name: sbeox0ML_L_1
Units: milliliters per liter (ml/l)
Description: Oxygen SBE 43 from primary sensor
http://lod.bco-dmo.org/id/dataset-parameter/809462.rdf
Name: sbeox1V
Units: volts (V)
Description: Oxygen raw SBE 43 from secondary sensor
http://lod.bco-dmo.org/id/dataset-parameter/809463.rdf
Name: sbeox1ML_L_1
Units: milliliters per liter (ml/l)
Description: Oxygen SBE 43 from secondary sensor
http://lod.bco-dmo.org/id/dataset-parameter/809464.rdf
Name: cpar
Units: percent (%)
Description: CPAR/Corrected Irradiance
http://lod.bco-dmo.org/id/dataset-parameter/809465.rdf
Name: CStarAt0
Units: per meter (1/m)
Description: Beam Attenuation; WET Labs C-Star
http://lod.bco-dmo.org/id/dataset-parameter/809466.rdf
Name: CStarTr0
Units: percent (%)
Description: Beam Transmission; WET Labs C-Star
http://lod.bco-dmo.org/id/dataset-parameter/809467.rdf
Name: par
Units: unknown
Description: PAR/Irradiance Biospherical/Licor
http://lod.bco-dmo.org/id/dataset-parameter/809468.rdf
Name: wetCDOM
Units: milligrams/meter^3 [mg/m^3]
Description: Fluorescence; WET Labs CDOM
http://lod.bco-dmo.org/id/dataset-parameter/809469.rdf
Name: flECO_AFL
Units: millligrams/meter^3 [mg/m^3]
Description: Fluorescence; WET Labs ECO-AFL/FL
http://lod.bco-dmo.org/id/dataset-parameter/809470.rdf
Name: depSM
Units: meters (m)
Description: Depth in salt water at specified latitude
http://lod.bco-dmo.org/id/dataset-parameter/809471.rdf
Name: sal00_2
Units: Practical Salinity Units (PSU)
Description: Practical Salinity
http://lod.bco-dmo.org/id/dataset-parameter/809472.rdf
Name: sigma_e00
Units: kilogram per meter cubed (kg/m3)
Description: Density sigma-theta
http://lod.bco-dmo.org/id/dataset-parameter/809473.rdf
Name: sbeox0ML_L_2
Units: milliliters per liter (ml/l)
Description: Oxygen SBE 43 from primary sensor; WS=5 (?)
http://lod.bco-dmo.org/id/dataset-parameter/809474.rdf
Name: sbeox1ML_L_2
Units: milliliters per liter (ml/l)
Description: Oxygen SBE 43 from secondary sensor; WS=5 (?)
http://lod.bco-dmo.org/id/dataset-parameter/809475.rdf
Name: potemp090C
Units: degrees Celsius
Description: Potential temperature fro ITS-90
http://lod.bco-dmo.org/id/dataset-parameter/809476.rdf
Name: potemp190C
Units: degrees Celsius
Description: Potential temperature fro ITS-190
http://lod.bco-dmo.org/id/dataset-parameter/809477.rdf
Name: flag
Units: unitless
Description: data quality flag; 0 indicates good value
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
https://www.bco-dmo.org/dataset/809428/data/download
download
onLine
dataset
<p>Raw hex datafiles were produced by the CTD were processed using manufacturer-supplied software, Seabird SeaSave.&nbsp;SBE Data Processing Version 7.26.6.28 was used to process the raw Sea-Bird CTD data (.hex) into a human-readable format (.cnv). The order of functions ran via SBE Data Processing was:</p>
<p>1. Data Conversion: to convert hex-files into human readable format;<br />
2. Filter: apply low-pass filter to collected data;<br />
3, Align CTD: to temporally align T and C sensors. Time constant equals 3.5 s (Gulf of Mexico);<br />
4. Cell Thermal Mass: applies thermal mass correct;<br />
5. Loop Edit: to remove effects of ship heave;<br />
6. Derive: to estimate derived quantities such as salinity, density, dissolved oxygen concentration, potential temperature, etc; and<br />
7. Bin Average: average data into vertical bins, downcast only.</p>
<p>See zipped metadata of individual files for date of calibration and calibration coefficients - Supplemental Files, below.</p>
Specified by the Principal Investigator(s)
<p><strong>BCO-DMO Processing Notes:</strong><br />
- added conventional header with dataset name, PI name, version date<br />
- modified parameter names to conform with BCO-DMO naming conventions (e.g., replaced spaces and hyphens with underscores)<br />
- extracted&nbsp;filename, date-time, lat, and lon from individual file headers<br />
- converted date-time to ISO_DateTime_UTC<br />
- converted lat and long from degrees/min/sec to decimal degrees<br />
- extracted the HHR leg number and station id from the file_name to separate columns<br />
- concatenated all .cnv data into a single file<br />
- joined CTD data with header data (file_name, leg, station, ISO_DateTime_UTC, lat, lon)<br />
- removed columns of raw voltages V3, V4, V5</p>
<p>&nbsp;</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 system (11plus V 5.2)
CTD system (11plus V 5.2)
PI Supplied Instrument Name: CTD system (11plus V 5.2) PI Supplied Instrument Description:These sensors were deployed with the CTD:
Temperature sensor (Channel 1; S/N: 5134)
Conductivity (Channel 2; S/N: 2922)
Digiquartz pressure sensor (Channel 2; S/N: 45)
Temperature Sensor (Channel 4; S/N: 4488)
Conductivity (Channel 5; S/N: 2629)
Dissolved oxygen (Channel 6; SBE-43; S/N: 0174)
Dissolved oxygen (Channel 7; SBE-43; S/N: 3554)
CDOM Fluorometer (Channel 8; WetLABS ECO, S/N:1379)
Chlorophyll Fluorometer (Channel 9; WetLABS ECO-AFL, S/N: 1051)
Altimeter (Channel 10; S/N 27002)
PAR (Channel 12; Biospherical/Licor/Chelsea PAR/Irradiance, S/N: 4530)
Transmissometer (Channel 13, WetLabs C-Star, S/N: CST-703DR)
SPAR Surface Irradiance (Channel 15, S/N: 20148) Instrument Name: CTD Sea-Bird SBE 911plus Instrument Short Name:CTD SBE 911plus Instrument Description: The Sea-Bird SBE 911plus is a type of CTD instrument package for continuous measurement of conductivity, temperature and pressure. The SBE 911plus 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 9plus and SBE 11plus is called a SBE 911plus. The SBE 9plus uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3plus and SBE 4). The SBE 9plus 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 Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0058/
Cruise: PS1809
PS1809
R/V Point Sur
Community Standard Description
International Council for the Exploration of the Sea
R/V Point Sur
vessel
PS1809
Lisa Campbell
Texas A&M University
R/V Point Sur
Community Standard Description
International Council for the Exploration of the Sea
R/V Point Sur
vessel