http://lod.bco-dmo.org/id/dataset/644012
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
2016-05-02
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Autonomous Underwater Vehicle Monterey Bay Time Series - CTD from AUV Makai on 2016-02-03
2023-08-15
publication
2023-08-15
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2023-10-03
publication
https://doi.org/10.26008/1912/bco-dmo.644012.1
Dr Chris Scholin
Monterey Bay Aquarium Research Institute
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: Scholin, C. (2023) Autonomous Underwater Vehicle Monterey Bay Time Series - AUV Makai CTD. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-08-15 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.644012.1 [access date]
Methods and Sampling: <p><a href="http://www.mbari.org/auv/" target="_blank">MBARI AUVs</a></p>
Funding provided by NSF Division of Biological Infrastructure (NSF DBI) Award Number: DBI-0424599 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=0424599
Funding provided by David and Lucile Packard Foundation (Packard) Award Number: unknown AUV_MontereyBay Packard
completed
Dr Chris Scholin
Monterey Bay Aquarium Research Institute
(831) 775-1779
Monterey Bay Aquarium Research Institute 7700 Sandholdt Road
Moss Landing
CA
95039
USA
scholin@mbari.org
pointOfContact
asNeeded
Dataset Version: 1
Unknown
ISO_DateTime_UTC
lat
lon
depth
temp
sal
chl_a_fluor
Makai AUV
Environmental Sample Processor
theme
None, User defined
ISO_DateTime_UTC
latitude
longitude
depth
water temperature at measurement depth
salinity
chlorophyll-a; fluorometric method
featureType
BCO-DMO Standard Parameters
Autonomous Underwater Vehicle
Environmental Sample Processor
instrument
BCO-DMO Standard Instruments
AUV_Makai_Monterey_Bay_Time_Series
service
Deployment Activity
Monterey 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.
Center for Microbial Oceanography: Research and Education
http://cmore.soest.hawaii.edu/
Center for Microbial Oceanography: Research and Education
<h3>Project summary</h3>
<p>The <strong>Center for Microbial Oceanography: Research and Education</strong> (C-MORE) is a recently established (August 2006; NSF award: EF-0424599) NSF-sponsored Science and Technology Center designed to facilitate a more comprehensive understanding of the diverse assemblages of microorganisms in the sea, ranging from the genetic basis of marine microbial biogeochemistry including the metabolic regulation and environmental controls of gene expression, to the processes that underpin the fluxes of carbon, related bioelements and energy in the marine environment. Stated holistically, C-MORE's primary mission is: <em>Linking Genomes to Biomes</em>.</p>
<p>We believe that the time is right to address several major, long-standing questions in microbial oceanography. Recent advances in the application of molecular techniques have provided an unprecedented view of the structure, diversity and possible function of sea microbes. By combining these and other novel approaches with more well-established techniques in microbiology, oceanography and ecology, it may be possible to develop a meaningful predictive understanding of the ocean with respect to energy transduction, carbon sequestration, bioelement cycling and the probable response of marine ecosystems to global environmental variability and climate change. The strength of C-MORE resides in the synergy created by bringing together experts who traditionally have not worked together and this, in turn, will facilitate the creation and dissemination of new knowledge on the role of marine microbes in global habitability.</p>
<p>The new Center will design and conduct novel research, broker partnerships, increase diversity of human resources, implement education and outreach programs, and utilize comprehensive information about microbial life in the sea. The Center will bring together teams of scientists, educators and community members who otherwise do not have an opportunity to communicate, collaborate or design creative solutions to long-term ecosystem scale problems. The Center's research will be organized around four interconnected themes:</p>
<ul>
<li>(Theme I) microbial biodiversity,</li>
<li>(Theme II) metabolism and C-N-P-energy flow,</li>
<li>(Theme III) remote and continuous sensing and links to climate variability, and</li>
<li>(Theme IV) ecosystem modeling, simulation and prediction.</li>
</ul>
<p> Each theme will have a leader to help coordinate the research programs and to facilitate interactions among the other related themes. The education programs will focus on pre-college curriculum enhancements, in service teacher training and formal undergraduate/graduate and post-doctoral programs to prepare the next generation of microbial oceanographers. The Center will establish and maintain creative outreach programs to help diffuse the new knowledge gained into society at large including policymakers. The Center's activities will be dispersed among five partner institutions:</p>
<ul>
<li>Massachusetts Institute of Technology,</li>
<li>Woods Hole Oceanographic Institution,</li>
<li>Monterey Bay Aquarium Research Institute,</li>
<li>University of California at Santa Cruz and</li>
<li>Oregon State University</li>
</ul>
<p>and will be coordinated at the University of Hawaii at Manoa.</p>
<h4>Related Files:</h4>
<p><a href="http://bcodata.whoi.edu/C-MORE/C-MORE_SIP_ver_09-01-2008.pdf">Strategic plan (PDF file)</a></p>
C-MORE
largerWorkCitation
project
eng; USA
oceans
Monterey Bay
-121.888
-121.828
36.7837
36.8338
2016-02-03
2016-02-03
North Pacific Subtropical Gyre (large region around 22 45 N, 158 W)
0
BCO-DMO catalogue of parameters from Autonomous Underwater Vehicle Monterey Bay Time Series - CTD from AUV Makai on 2016-02-03
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/644043.rdf
Name: ISO_DateTime_UTC
Units: unitless
Description: <p>Date and time (UTC) formatted to ISO 8601 standard</p>
http://lod.bco-dmo.org/id/dataset-parameter/644045.rdf
Name: lat
Units: decimal degrees
Description: <p>latitude (north is positive)</p>
http://lod.bco-dmo.org/id/dataset-parameter/644046.rdf
Name: lon
Units: decimal degrees
Description: <p>longitude (east is positive)</p>
http://lod.bco-dmo.org/id/dataset-parameter/644047.rdf
Name: depth
Units: meters
Description: <p>depth sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/644048.rdf
Name: temp
Units: degrees Celsius
Description: <p>Temperature from CTD</p>
http://lod.bco-dmo.org/id/dataset-parameter/644049.rdf
Name: sal
Units: dimensionless
Description: <p>Salinity from CTD</p>
http://lod.bco-dmo.org/id/dataset-parameter/644050.rdf
Name: chl_a_fluor
Units: micrograms/liter
Description: <p>chlorophyll-a fluorometric method</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
2936066
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/7fd82d94-04a9-4d93-be85-0e194ba92dae/content
download
https://doi.org/10.26008/1912/bco-dmo.644012.1
download
onLine
dataset
<p><a href="http://www.mbari.org/auv/" target="_blank">MBARI AUVs</a></p>
Specified by the Principal Investigator(s)
<p>Original sensor data were bin averaged to 2-second resolution.</p>
<p>&nbsp;</p>
Specified by the Principal Investigator(s)
The date and time columns in the submitted file were combined to create an ISO datetime column named ISO_DateTime_UTC and of format YYYY-MM-DDThh:mm:ssZ
Specified by BCO-DMO Data Managers
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
Makai AUV
Makai AUV
PI Supplied Instrument Name: Makai AUV Instrument Name: Autonomous Underwater Vehicle Instrument Short Name:AUV Instrument Description: An Autonomous Underwater Vehicle (AUV) is a free-roving platform operating in the water column with propulsion but no human operator on board (e.g. Autosub, Gavia).
Environmental Sample Processor
Environmental Sample Processor
PI Supplied Instrument Name: Environmental Sample Processor Instrument Name: Environmental Sample Processor Instrument Short Name:ESP Instrument Description: The MBARI Environmental Sample Processor—the ESP—provides on-site (in situ) collection and analysis of water samples from the subsurface ocean. The instrument is an electromechanical/fluidic system designed to collect discrete water samples, concentrate microorganisms or particles, and automate application of molecular probes and qPCR which identify microorganisms and their gene products. The ESP also archives samples so that further analyses may be done after the instrument is recovered.
Environmental Sample Processor
See references below for methodology used on the ESP:
Greenfield, D.I., R. Marin III, S. Jensen, E. Massion, B. Roman, J. Feldman, C. Scholin (2006). Application of the Environmental Sample Processor (ESP) methodology for quantifying Pseudo-nitzschia australis using ribosomal RNA-targeted probes in sandwich and fluorescent in situ hybridization. Limnology and Oceanography: Methods 4: 426-435.
Greenfield, D., R. Marin III, G.J. Doucette, C. Mikulski, S. Jensen, B. Roman, N. Alvarado, and C.A. Scholin (2008). Field applications of the second-generation Environmental Sample Processor (ESP) for remote detection of harmful algae: 2006-2007. Limnology and Oceanography: Methods 6: 667-679.
Marin III, R., and C. Scholin (2010). Sandwich Hybridization. In: Microscopic and molecular methods for quantitative phytoplankton analysis (Chapter 12), edited by B. Karlson, C. Cusack, and E. Bresnan, E.. IOC Manuals and Guides, no. 55. (IOC/2010/MG/55) Paris, UNESCO. 110 pp.
Ottesen, E.A., R. Marin III, C.M. Preston, C.R. Young, J.P. Ryan, C.A. Scholin, and E.F. DeLong (2011). Metatranscriptomic analysis of autonomously collected and preserved marine bacterioplankton. The ISME Journal, 5: 1881-1895, doi: 10.1038/ismej.2011.70.
Ottesen, E.A., C.R. Young, J.M. Eppley, J.P. Ryan, F.P. Chavez, C.A. Scholin, and E.F. DeLong (2013). Pattern and synchrony of gene expression among sympatric marine microbial populations. Proceedings of the National Academy of Sciences, 110: E488-E497, doi: 10.1073/pnas.1222099110.
Ottesen, E.A., C.M. Young, S.M. Gifford, J.M. Eppley, R. Marin III, S.C. Schuster, C.A. Scholin, and E.F. DeLong (2014). Multispecies diel transcriptional oscillations in open ocean heterotrophic bacterial assemblages. Science, 345: 207-212, 10.1126/science.1252476.
Preston, C.M., A. Harris, J.P. Ryan, B. Roman, R. Marin III, S. Jensen, C. Everlove, J. Birch, J.M. Dzenitis, D. Pargett, M. Adachi, K. Turk, J.P. Zehr, and C.A. Scholin (2011). Underwater application of quantitative PCR on an ocean mooring. PLoS ONE, 6:e22522, doi: 10.1371/journal.pone.0022522.
Robidart, J.C., C.M. Preston, R.W. Paerl, K.A. Turk, A.C. Mosier, C.A. Francis, C.A. Scholin, and J.P. Zehr (2011). Seasonal Synechococcus and Thaumarchaeal population dynamics examined with high resolution with remote in situ instrumentation. The ISME Journal, 6: 513-523, doi: 10.1038/ismej.2011.127.
Robidart, J., M.J. Church, J.P. Ryan, F. Ascani, S.T. Wilson, D. Bombar, R. Marin III, K.J. Richards, D.M. Karl, C.A. Scholin, and J.P Zehr (2014). Ecogenomic sensor reveals controls on N2-fixing microorganisms in the North Pacific Ocean. The ISME Journal, 8: 1175-1185, 10.1038/ismej.2013.244.
Saito, M.A., V.V. Bulygin, D.M. Moran, C. Taylor, and C. Scholin (2011). Examination of microbial proteome preservation techniques applicable to autonomous environmental sample collection. Frontiers in Aquatic Microbiology, 2: doi: 10.3389/fmicb.2011.00215.
Scholin, C.. (2010). What are “ecogenomic sensors?” A review and thoughts for the future. Ocean Science 6: 51-60.
Ussler III, W., C.M. Preston, P. Tavormina, D. Pargett, S. Jensen, B. Roman, R. Marin III, S.R. Shah, P.R. Girguis, J.M. Birch, V.J. Orphan, and C. Scholin (2013). Autonomous application of quantitative PCR in the deep sea: In situ surveys of aerobic methanotrophs using the deep-sea Environmental Sample Processor. Environmental Science and Technology, 47: 9339–9346, doi: 10.1021/es4023199.
Varaljay, V.A, J. Robidart, C.M. Preston, S.M. Gifford, B. Durham, A.S. Burns, J.P. Ryan, R. Marin III, R.P. Kiene, J.P Zehr, C.A. Scholin, M. Moran. 2015. Single-taxon field measurements of bacterial gene regulation controlling DMSP fate. ISME Journal, doi:10.1038/ismej.2015.23|
Deployment: AUV_Makai_Monterey_Bay_Time_Series
AUV_Makai_Monterey_Bay_Time_Series
AUV Makai
AUV Makai
AUV
AUV_Makai_Monterey_Bay_Time_Series
Dr Chris A Scholin
Monterey Bay Aquarium Research Institute
AUV Makai
AUV Makai
AUV