http://lod.bco-dmo.org/id/dataset/826410
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
2020-10-12
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Discrete seawater samples collected at the surface, 1 m below the surface, and 1 m above the bottom two times a week at each mooring (Kelp and Outside) from June 12, 2018 to August 3, 2018.
2020-10-12
publication
2020-10-12
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2020-10-16
publication
https://doi.org/10.26008/1912/bco-dmo.826410.1
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
documentDigital
Cite this dataset as: Hirsh, H., Nickols, K. J., Takeshita, Y., Traiger, S., Monismith, S. G., Mucciarone, D., Dunbar, R. B. (2020) Discrete seawater samples collected at the surface, 1 m below the surface, and 1 m above the bottom two times a week at each mooring (Kelp and Outside) from June 12, 2018 to August 3, 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-10-12 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.826410.1 [access date]
Dataset Description: <div class="fieldset-wrapper">
<div class="field field-name-field-dataset-description field-type-text-long field-label-hidden">
<div class="field-items">
<div class="field-item even">
<p>These data are published in Hirsh <em>et al., </em>see related publications section.</p>
</div>
</div>
</div>
</div> Acquisition Description: <p>Discrete seawater samples were collected at the surface, 1 m below the surface, and 1 m above the bottom two times a week at each mooring (Kelp and Outside) from June 12, 2018 to August 3, 2018 between 10:30 and 14:00 local time. Water was collected using a 1.7 L Niskin bottle and subsampled into a 30 mL glass serum bottle (with rubber stopper and crimp cap) for DIC and a 120 mL glass bottle for TA. All samples were immediately preserved with 1 μL of saturated mercuric chloride solution for every 1 mL of sample (Dickson et al., 2007)</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1737096 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1737096
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1737176 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1737176
onGoing
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
Site
Sample_ID
Longitude
Latitude
Depth_ID
Depth_m
Date
Time
DIC
TA
Salinity
Temperature
pH
ISO_DateTime_UTC
1.7 Niskin bottle
SBE 19plus V2 SeaCAT Profiler CTD
theme
None, User defined
Site_ID
sample identification
longitude
latitude
depth
date
time of day
dissolved inorganic Carbon
total alkalinity (TA)
salinity calculated from CTD primary sensors
temperature
pH
ISO_DateTime_UTC
featureType
BCO-DMO Standard Parameters
Niskin bottle
CTD Sea-Bird SEACAT
instrument
BCO-DMO Standard Instruments
KELP
OUTSIDE
service
Deployment Activity
Hopkins Marine Station, Monterey Bay, CA (Kelp Mooring: 36° 37.297’ N, 121° 54.102’ W)
Hopkins Marine Station, Monterey Bay, CA (Outside Mooring: 36° 37.342’ N, 121° 54.049’ 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://www.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>NSF abstract:</p>
<p>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); Hopkins Marine Station, Monterey Bay, CA (Outside Mooring: 36° 37.342’ N, 121° 54.049’ W)
-121.9017
-121.9007333
36.62161667
36.6222
2018-06-12
2018-08-03
Central California 36.6 N 122 W
0
BCO-DMO catalogue of parameters from Discrete seawater samples collected at the surface, 1 m below the surface, and 1 m above the bottom two times a week at each mooring (Kelp and Outside) from June 12, 2018 to August 3, 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/826853.rdf
Name: Site
Units: unitless
Description: Mooring (Kelp or Outside)
http://lod.bco-dmo.org/id/dataset-parameter/826854.rdf
Name: Sample_ID
Units: unitless
Description: Sample identifier
http://lod.bco-dmo.org/id/dataset-parameter/826855.rdf
Name: Longitude
Units: decimal degrees
Description: Longitude of mooring location, west is negative
http://lod.bco-dmo.org/id/dataset-parameter/826856.rdf
Name: Latitude
Units: decimal degrees
Description: Latitude of mooring location, south is negative
http://lod.bco-dmo.org/id/dataset-parameter/826857.rdf
Name: Depth_ID
Units: unitless
Description: Identifier for the depth of the sample (1B = 1 m above bottom, 1T = 1 m below surface, S=surface)
http://lod.bco-dmo.org/id/dataset-parameter/826858.rdf
Name: Depth_m
Units: meters (m)
Description: Actual depth (from CTD)
http://lod.bco-dmo.org/id/dataset-parameter/826859.rdf
Name: Date
Units: unitless
Description: Local Date (PST)
http://lod.bco-dmo.org/id/dataset-parameter/826860.rdf
Name: Time
Units: unitless
Description: Local Time (PST)
http://lod.bco-dmo.org/id/dataset-parameter/826861.rdf
Name: DIC
Units: micromoles per kilogram (umol/kg)
Description: Dissolved inorganic carbon
http://lod.bco-dmo.org/id/dataset-parameter/826863.rdf
Name: TA
Units: micromoles per kilogram (umol/kg)
Description: Total alkalinity
http://lod.bco-dmo.org/id/dataset-parameter/826865.rdf
Name: Salinity
Units: unitless
Description: Salinity
http://lod.bco-dmo.org/id/dataset-parameter/826866.rdf
Name: Temperature
Units: degrees Celsius (°C)
Description: Water temperature
http://lod.bco-dmo.org/id/dataset-parameter/826867.rdf
Name: pH
Units: unitless
Description: pH
http://lod.bco-dmo.org/id/dataset-parameter/826868.rdf
Name: ISO_DateTime_UTC
Units: unitless
Description: Timestap (date and time) in ISO format, UTC (yyyy-mm-ddThh:mmZ)
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/826410/data/download
download
onLine
dataset
<p>Discrete seawater samples were collected at the surface, 1 m below the surface, and 1 m above the bottom two times a week at each mooring (Kelp and Outside) from June 12, 2018 to August 3, 2018 between 10:30 and 14:00 local time. Water was collected using a 1.7 L Niskin bottle and subsampled into a 30 mL glass serum bottle (with rubber stopper and crimp cap) for DIC and a 120 mL glass bottle for TA. All samples were immediately preserved with 1 μL of saturated mercuric chloride solution for every 1 mL of sample (Dickson et al., 2007)</p>
Specified by the Principal Investigator(s)
<p>DIC and TA samples were analyzed within four months of sample collection. TA was analyzed with a Metrohm 855 Robotic Titrosampler using a standardized 0.1 M HCl (Acros, 124200010) in a 0.6 M NaCl background. TA was calculated using a modified gran method in an open cell (Dickson et al., 2003). The acid concentration was calibrated by measuring certified reference materials (Dickson, 2010) every 10 samples (36 CRM runs; batch numbers 169, 172, 175, and 176). Precision and accuracy were estimated as 3.4 mol kg-1, based on the measured CRM values. DIC samples were analyzed using a custom-built instrument loosely based on the design of O’Sullivan and Millero (1998). The DIC instrument was calibrated using CRMs approximately every hour. Instrumental precision was estimated as 0.8 mol kg-1, based on 60 measured CRM values (batch numbers 169, 172, and 175). DIC accuracy was estimated at 2 mol<br />
kg-1. Discrete DIC and TA samples were used to calculate in situ pH using CO2SYS (van Heuven et al., 2011) for comparison with moored pH logger data.</p>
<p>Sometimes the depth was too shallow for the CTD to measure an accurate surface salinity. Salinity measurements lower than 33.4 were flagged and replaced by the mean near surface salinity measured at the kelp mooring site = 33.6.</p>
<p>Salinity was flagged (and replaced with the mean salinity, 33.6) for 4 samples reported here:</p>
<ul>
<li>Outside Surface July 6, 2017 11:08</li>
<li>Kelp Surface July 24, 2017 13:02</li>
<li>Outside Surface July 31, 2017 11:30</li>
<li>Kelp Surface July 31, 2017 12:04</li>
</ul>
<p>BCO-DMO Processing notes:</p>
<ul>
<li>Adjusted column headers to comply with database requirements</li>
<li>Added ISO_DateTime_UTC column, converting Date and Time&nbsp; to ISO format, and timezone from Pacific Standard Time (PST) to UTC</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
1.7 Niskin bottle
1.7 Niskin bottle
PI Supplied Instrument Name: 1.7 Niskin bottle 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/
SBE 19plus V2 SeaCAT Profiler CTD
SBE 19plus V2 SeaCAT Profiler CTD
PI Supplied Instrument Name: SBE 19plus V2 SeaCAT Profiler CTD Instrument Name: CTD Sea-Bird SEACAT Instrument Short Name:CTD SEACAT Instrument Description: The CTD SEACAT recorder is an instrument package manufactured by Sea-Bird Electronics. The first Sea-Bird SEACAT Recorder was the original SBE 16 SEACAT developed in 1987. There are several model numbers including the SBE 16plus (SEACAT C-T Recorder (P optional))and the SBE 19 (SBE 19plus SEACAT Profiler measures conductivity, temperature, and pressure (depth)). More information from Sea-Bird Electronics. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/350/
Deployment: KELP
KELP
Mooring - Hopkins Marine Stations
mooring
KELP
Kerry J. Nickols
California State University Northridge
Deployment: OUTSIDE
OUTSIDE
Mooring - Hopkins Marine Stations
mooring
OUTSIDE
Kerry J. Nickols
California State University Northridge
Mooring - Hopkins Marine Stations
mooring