http://lod.bco-dmo.org/id/dataset/826431
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
2020-10-13
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Cross-shore and alongshore velocity inside the kelp forest at Hopkins Marine Station (36° 37.297’ N, 121° 54.102’ W) recorded between June and October, 2018.
2020-10-13
publication
2020-10-13
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2020-10-16
publication
https://doi.org/10.26008/1912/bco-dmo.826431.1
Kerry J. Nickols
California State University Northridge
principalInvestigator
Robert B. Dunbar
Stanford University
principalInvestigator
Heidi Hirsh
Stanford University
principalInvestigator
Stephen G. Monismith
Stanford University
principalInvestigator
David Mucciarone
Stanford University
principalInvestigator
Yuichiro Takeshita
Monterey Bay Aquarium Research Institute
principalInvestigator
Sarah Traiger
United States Geological Survey
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: Hirsh, H., Nickols, K. J., Takeshita, Y., Traiger, S., Monismith, S. G., Mucciarone, D., Dunbar, R. B. (2020) Cross-shore and alongshore velocity inside the kelp forest at Hopkins Marine Station (36° 37.297’ N, 121° 54.102’ W) recorded between June and October, 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-10-13 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.826431.1 [access date]
Dataset Description: <p>These data are published in Hirsh <em>et al., </em>see related publications section.</p> Methods and Sampling: <p>Two ADCPs were deployed consecutively &lt;10 m from the kelp mooring site (Macrocystis pyrifera, 36° 37.297’ N, 121° 54.102’ W), both measuring at 0.5 m vertical resolution:</p>
<ul>
<li>Deployment 1 (21 x 0.5 meter bins): Nortek Signature 1000, June 12 to August 7, 2018
<ul>
<li>Bins deployment 1 (meters above bottom):<br />
0.6880<br />
1.1880<br />
1.6880<br />
2.1880<br />
2.6880<br />
3.1880<br />
3.6880<br />
4.1880<br />
4.6880<br />
5.1880<br />
5.6880<br />
6.1880<br />
6.6880<br />
7.1880<br />
7.6880<br />
8.1880<br />
8.6880<br />
9.1880<br />
9.6880<br />
10.1880<br />
10.6880</li>
</ul>
</li>
<li>Deployment 2 (19 x 0.5 meter bins): RDI 1200 kHz Workhorse Sentinel, August 7 to October 4, 2018
<ul>
<li>Bins deployment 2 (meters above bottom):<br />
1.06<br />
1.56<br />
2.06<br />
2.56<br />
3.06<br />
3.56<br />
4.06<br />
4.56<br />
5.06<br />
5.56<br />
6.06<br />
6.5<br />
7.06<br />
7.56<br />
8.06<br />
8.56<br />
9.06<br />
9.56<br />
10.06</li>
</ul>
</li>
</ul>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1737096 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1737096
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1737176 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1737176
completed
Kerry J. Nickols
California State University Northridge
(818) 677-6147
18111 Nordhoff St
Northridge
CA
91330-8303
US
kerry.nickols@csun.edu
pointOfContact
Robert B. Dunbar
Stanford University
(650) 725-6830
Department of Environmental Earth Systems Science (Braun Hall, bldg 320) Stanford University
Stanford
CA
94305-2115
USA
dunbar@stanford.edu
pointOfContact
Heidi Hirsh
Stanford University
253-514-2804
473 Via Ortega, Rm140
Standford
CA
94305
USA
pointOfContact
Stephen G. Monismith
Stanford University
650-723-4764
Y2E2 Rm 183 473 Via Ortega
Stanford
CA
94305-4020
USA
stephen@stanford.edu
pointOfContact
David Mucciarone
Stanford University
(650) 723-0817
473 Via Ortega
Stanford
CA
94305
USA
dam1@stanford.edu
pointOfContact
Yuichiro Takeshita
Monterey Bay Aquarium Research Institute
7700 Sandholdt Road
Moss Landing
CA
95039
USA
yui@mbari.org
pointOfContact
Sarah Traiger
United States Geological Survey
1910 Alex Holden Way
Juneau
AK
99801
USA
straiger@usgs.gov
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Mooring_ID
Deployment_ID
ISO_DateTime_UTC
Zbin_Depth
Velocity
Velocity_Component
Latitude
Longitude
Nortek Signature and RDI Teledyne-RDI workhorse ADCPs
theme
None, User defined
mooring identification
brief description
ISO_DateTime_UTC
depth
horizontal velocity towed
latitude
longitude
featureType
BCO-DMO Standard Parameters
Acoustic Doppler Current Profiler
instrument
BCO-DMO Standard Instruments
KELP
service
Deployment Activity
Hopkins Marine Station, Monterey Bay, CA (Kelp Mooring: 36° 37.297’ N, 121° 54.102’ W)
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.
Collaborative Research: RUI: Building a mechanistic understanding of water column chemistry alteration by kelp forests: emerging contributions of foundation species
https://osprey.bco-dmo.org/project/748778
Collaborative Research: RUI: Building a mechanistic understanding of water column chemistry alteration by kelp forests: emerging contributions of foundation species
<p><em>NSF Award Abstract:</em><br />
Kelp forest ecosystems are of ecological and economic importance globally and provide habitat for a diversity of fish, invertebrates, and other algal species. In addition, they may also modify the chemistry of surrounding waters. Uptake of carbon dioxide (CO2) by giant kelp, Macrocystis pyrifera, may play a role in ameliorating the effects of increasing ocean acidity on nearshore marine communities driven by rising atmospheric CO2. Predicting the capacity for kelp forests to alter seawater chemistry requires understanding of the oceanographic and biological mechanisms that drive variability in seawater chemistry. The project will identify specific conditions that could lead to decreases in seawater CO2 by studying 4 sites within the southern Monterey Bay in Central California. An interdisciplinary team will examine variations in ocean chemistry in the context of the oceanographic and ecological characteristics of kelp forest habitats. This project will support an early career researcher, as well as train and support a postdoctoral researcher, PhD student, thesis master's student, and up to six undergraduate students. The PIs will actively recruit students from underrepresented groups to participate in this project through Stanford University's Summer Research in Geosciences and Engineering (SURGE) program and the Society for Advancement of Hispanics/Chicanos and Native Americans in Science (SACNAS). In addition, the PIs and students will actively engage with the management community (Monterey Bay National Marine Sanctuary and California Department of Fish and Wildlife) to advance products based on project data that will assist the development of management strategies for kelp forest habitats in a changing ocean.</p>
<p>This project builds upon an extensive preliminary data set and will link kelp forest community attributes and hydrodynamic properties to kelp forest biogeochemistry (including the carbon system and dissolved oxygen) to understand mechanistically how giant kelp modifies surrounding waters and affects water chemistry using unique high-resolution measurement capabilities that have provided important insights in coral reef biogeochemistry. The project sites are characterized by different oceanographic settings and kelp forest characteristics that will allow examination of relationships between kelp forest inhabitants and water column chemistry. Continuous measurements of water column velocity, temperature, dissolved oxygen, pH, and photosynthetically active radiation will be augmented by twice-weekly measurements of dissolved inorganic carbon, total alkalinity, and nutrients as well as periods of high frequency sampling of all carbonate system parameters. Quantifying vertical gradients in carbonate system chemistry within kelp forests will lead to understanding of its dependence on seawater residence time and water column stratification. Additional biological sampling of kelp, benthic communities, and phytoplankton will be used to 1) determine contributions of understory algae and calcifying species to bottom water chemistry, 2) determine contributions of kelp canopy growth and phytoplankton to surface water chemistry, and 3) quantify the spatial extent of surface chemistry alteration by kelp forests. The physical, biological, and chemical data collected across multiple forests will allow development of a statistical model for predictions of kelp forest carbonate system chemistry alteration in different locations and under future climate scenarios. Threshold values of oceanographic conditions and kelp forest characteristics that lead to alteration of water column chemistry will be identified for use by managers in mitigation strategies such as targeted protection or restoration.</p>
Kelp forest biogeochemistry
largerWorkCitation
project
eng; USA
oceans
Hopkins Marine Station, Monterey Bay, CA (Kelp Mooring: 36° 37.297’ N, 121° 54.102’ W)
-121.9019
-121.9019
36.6216
36.6216
2018-06-12
2018-10-04
Central California 36.6 N 122 W
0
BCO-DMO catalogue of parameters from Cross-shore and alongshore velocity inside the kelp forest at Hopkins Marine Station (36° 37.297’ N, 121° 54.102’ W) recorded between June and October, 2018.
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/826463.rdf
Name: Mooring_ID
Units: unitless
Description: <p>Mooring name: kelp = inside kelp forest mooring</p>
http://lod.bco-dmo.org/id/dataset-parameter/826464.rdf
Name: Deployment_ID
Units: unitless
Description: <p>Deployment 1 or 2 at mooring</p>
http://lod.bco-dmo.org/id/dataset-parameter/826465.rdf
Name: ISO_DateTime_UTC
Units: unitless
Description: <p>Timestamp (date and time) in ISO format, UTC (yyyy-mm-ddThh:mmZ)</p>
http://lod.bco-dmo.org/id/dataset-parameter/826466.rdf
Name: Zbin_Depth
Units: meters (m)
Description: <p>Depth, meters above bottom</p>
http://lod.bco-dmo.org/id/dataset-parameter/826467.rdf
Name: Velocity
Units: meters per second (m/s)
Description: <p>Velocity</p>
http://lod.bco-dmo.org/id/dataset-parameter/826468.rdf
Name: Velocity_Component
Units: unitless
Description: <p>Velocity components: cross-shore and alongshore</p>
http://lod.bco-dmo.org/id/dataset-parameter/826469.rdf
Name: Latitude
Units: decimal degrees
Description: <p>Latitude of mooring location, south is negative</p>
http://lod.bco-dmo.org/id/dataset-parameter/826470.rdf
Name: Longitude
Units: decimal degrees
Description: <p>Longitude of mooring location, west is negative</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
113497552
https://darchive.mblwhoilibrary.org/bitstream/1912/26322/1/dataset-826431_adcp-inside-kelp-forest__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.826431.1
download
onLine
dataset
<p>Two ADCPs were deployed consecutively &lt;10 m from the kelp mooring site (Macrocystis pyrifera, 36° 37.297’ N, 121° 54.102’ W), both measuring at 0.5 m vertical resolution:</p>
<ul>
<li>Deployment 1 (21 x 0.5 meter bins): Nortek Signature 1000, June 12 to August 7, 2018
<ul>
<li>Bins deployment 1 (meters above bottom):<br />
0.6880<br />
1.1880<br />
1.6880<br />
2.1880<br />
2.6880<br />
3.1880<br />
3.6880<br />
4.1880<br />
4.6880<br />
5.1880<br />
5.6880<br />
6.1880<br />
6.6880<br />
7.1880<br />
7.6880<br />
8.1880<br />
8.6880<br />
9.1880<br />
9.6880<br />
10.1880<br />
10.6880</li>
</ul>
</li>
<li>Deployment 2 (19 x 0.5 meter bins): RDI 1200 kHz Workhorse Sentinel, August 7 to October 4, 2018
<ul>
<li>Bins deployment 2 (meters above bottom):<br />
1.06<br />
1.56<br />
2.06<br />
2.56<br />
3.06<br />
3.56<br />
4.06<br />
4.56<br />
5.06<br />
5.56<br />
6.06<br />
6.5<br />
7.06<br />
7.56<br />
8.06<br />
8.56<br />
9.06<br />
9.56<br />
10.06</li>
</ul>
</li>
</ul>
Specified by the Principal Investigator(s)
<p>Current directions were corrected for declination: true north was 13.12° degrees from magnetic north.</p>
<p>Velocity measurements from the two ADCP deployments were rotated into cross-shore and alongshore velocity components using the principal axes calculated (<em>princax</em> function in Matlab) for each deployment. The principle axes for the two kelp deployments were within 2° of each other. Individual current profiles were smoothed using a cubic smoothing spline (Matlab <em>csaps</em> package; smoothing parameter = 0.8).</p>
<ul>
<li>Deployment 1 - Inside Kelp Forest: June 12-August 7, 2018
<ul>
<li>Alongshore: Principal axis = 156°</li>
<li>Cross-shore: Principal axis = 66°</li>
</ul>
</li>
<li>Deployment 2 - Inside Kelp Forest: August 7-October 4, 2018
<ul>
<li>Alongshore: Principal axis = 158°</li>
<li>Cross-shore: Principal axis = 68°</li>
</ul>
</li>
</ul>
<p>The top 10% of the water column and velocity &gt; 0.3 m/s was replaced with NaN.</p>
<p>BCO-DMO Processing Notes:</p>
<ul>
<li>Adjusted column headers to comply with database requirements</li>
<li>Converted Timestamp to ISO format</li>
<li>Merged cross-shore and alongshore datasets and deployments into 1 dataset, reformatted the datasets to convert zbins into 1 column.</li>
<li>Added collumns: Mooring_ID, Deployment_ID and Velocity_Components</li>
</ul>
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
Nortek Signature and RDI Teledyne-RDI workhorse ADCPs
Nortek Signature and RDI Teledyne-RDI workhorse ADCPs
PI Supplied Instrument Name: Nortek Signature and RDI Teledyne-RDI workhorse ADCPs PI Supplied Instrument Description:Two ADCPs were deployed consecutively at the kelp mooring site, both measuring at 0.5 m vertical resolution:
Deployment 1: Nortek Signature 1000, June 12 to August 7, 2018
Deployment 2: RDI 1200 kHz Workhorse Sentinel, August 7 to October 4, 2018 Instrument Name: Acoustic Doppler Current Profiler Instrument Short Name:ADCP Instrument Description: The ADCP measures water currents with sound, using a principle of sound waves called the Doppler effect. A sound wave has a higher frequency, or pitch, when it moves to you than when it moves away. You hear the Doppler effect in action when a car speeds past with a characteristic building of sound that fades when the car passes. The ADCP works by transmitting "pings" of sound at a constant frequency into the water. (The pings are so highly pitched that humans and even dolphins can't hear them.) As the sound waves travel, they ricochet off particles suspended in the moving water, and reflect back to the instrument. Due to the Doppler effect, sound waves bounced back from a particle moving away from the profiler have a slightly lowered frequency when they return. Particles moving toward the instrument send back higher frequency waves. The difference in frequency between the waves the profiler sends out and the waves it receives is called the Doppler shift. The instrument uses this shift to calculate how fast the particle and the water around it are moving. Sound waves that hit particles far from the profiler take longer to come back than waves that strike close by. By measuring the time it takes for the waves to bounce back and the Doppler shift, the profiler can measure current speed at many different depths with each series of pings. (More from WHOI instruments listing). Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/115/
Deployment: KELP
KELP
Mooring - Hopkins Marine Station
mooring
KELP
Kerry J. Nickols
California State University Northridge
Mooring - Hopkins Marine Station
mooring