http://lod.bco-dmo.org/id/dataset/864720
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
2021-11-12
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Water level and seafloor temperature from Onset HOBO U20L loggers deployed on the seafloor adjacent to instrument moorings inside and outside of kelp forests near the Monterey Peninsula, California, USA from June to August 2018 and 2019
2021-11-12
publication
2021-11-12
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2022-03-30
publication
https://doi.org/10.26008/1912/bco-dmo.864720.1
Kerry J. Nickols
California State University Northridge
principalInvestigator
Robert B. Dunbar
Stanford 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
Cite this dataset as: Nickols, K. J., Dunbar, R. B. (2022) Water level and seafloor temperature from Onset HOBO U20L loggers deployed on the seafloor adjacent to instrument moorings inside and outside of kelp forests near the Monterey Peninsula, California, USA from June to August 2018 and 2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-11-12 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.864720.1 [access date]
HOBOU20L water level and seafloor temperature - Inside and outside kelp Dataset Description: Methods and Sampling: <p><strong>Sampling Locations:</strong><br />
Sampling was conducted near the Monterey Peninsula near Pacific Grove and Monterey, California, USA. Kelp sites ranged from 8.8 to 10.3 meters deep and offshore sites ranged from 13.1 to 16.5 m deep.</p>
<p>Instrument moorings were deployed in 2018 in the following areas: a wave-protected kelp forest, ~100 meters offshore of the protected site, in a wave-exposed site devoid of kelp (historically has had kelp), and ~100 meters offshore of the exposed site.</p>
<p>Instrument moorings were deployed in 2019 in the following areas: a wave-protected kelp forest, ~175 meters offshore of the protected site, in a wave-exposed kelp site, and ~180 meters offshore of the exposed site.</p>
<p><strong>Location Abbreviations:</strong><br />
PK = Protected kelp 2018,<br />
PO = Protected offshore 2018,<br />
EK = Exposed ‘kelp’ 2018,<br />
EO = Exposed offshore 2018,<br />
MK = Protected kelp 2019,<br />
MO = Protected offshore 2019,<br />
OK = exposed kelp 2019,<br />
OO = Exposed offshore 2019.</p>
<p><strong>Methodology:</strong><br />
HOBO U20L water level and temperature loggers were attached to the bottom of each instrument mooring ~0.45 m above the seafloor. Instruments had to be swapped out periodically during deployment due to data storage capacity. Time and depth of deployment were recorded each time a sensor was deployed.</p>
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
asNeeded
Dataset Version: 1
Unknown
Site
ISO_DateTime_Local
Time_zone
ISO_DateTime_UTC
Site_depth_0_tide
Latitude
Longitude
Location
Temperature_C
AbsPres_kPa
AbsPres_decibar
AbsPres_decibar_corrected
HOBO U20L water level and temperature logger
theme
None, User defined
site
ISO_DateTime_Local
time_zone
ISO_DateTime_UTC
depth
latitude
longitude
site description
water temperature at measurement depth
water pressure
featureType
BCO-DMO Standard Parameters
Onset HOBO U20L water level logger series
instrument
BCO-DMO Standard Instruments
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
-121.9188
-121.897
36.61795
36.63088
2018-06-07
2019-08-07
Central California 36.6 N 122 W
0
BCO-DMO catalogue of parameters from Water level and seafloor temperature from Onset HOBO U20L loggers deployed on the seafloor adjacent to instrument moorings inside and outside of kelp forests near the Monterey Peninsula, California, USA from June to August 2018 and 2019
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/864732.rdf
Name: Site
Units: unitless
Description: <p>Site code: PK = Protected kelp 2018, PO = Protected offshore 2018, EK = Exposed kelp 2018, EO = Exposed offshore 2018, MK = Protected kelp 2019, MO = Protected offshore 2019, OK = exposed kelp 2019, OO = Exposed offshore 2019.</p>
http://lod.bco-dmo.org/id/dataset-parameter/864733.rdf
Name: ISO_DateTime_Local
Units: unitless
Description: <p>Date and time (PST) in ISO8601 format: YYYY-MM-DDThh:mm:ss</p>
http://lod.bco-dmo.org/id/dataset-parameter/864734.rdf
Name: Time_zone
Units: unitless
Description: <p>Indicates the local time zone (PST)</p>
http://lod.bco-dmo.org/id/dataset-parameter/864735.rdf
Name: ISO_DateTime_UTC
Units: unitless
Description: <p>Date and time (UTC) in ISO8601 format: YYYY-MM-DDThh:mm:ssZ</p>
http://lod.bco-dmo.org/id/dataset-parameter/864736.rdf
Name: Site_depth_0_tide
Units: meters (m)
Description: <p>Depth of the site at at 0 tide</p>
http://lod.bco-dmo.org/id/dataset-parameter/864737.rdf
Name: Latitude
Units: decimal degrees North
Description: <p>Latitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/864738.rdf
Name: Longitude
Units: decimal degrees West
Description: <p>Longitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/864739.rdf
Name: Location
Units: unitless
Description: <p>Indicates if the location is Kelp or Offshore</p>
http://lod.bco-dmo.org/id/dataset-parameter/864740.rdf
Name: Temperature_C
Units: degrees Celsius
Description: <p>Temperature</p>
http://lod.bco-dmo.org/id/dataset-parameter/864741.rdf
Name: AbsPres_kPa
Units: kiloPascals (kPa)
Description: <p>Pressure</p>
http://lod.bco-dmo.org/id/dataset-parameter/864742.rdf
Name: AbsPres_decibar
Units: decibars
Description: <p>Pressure</p>
http://lod.bco-dmo.org/id/dataset-parameter/864743.rdf
Name: AbsPres_decibar_corrected
Units: decibars
Description: <p>Pressure minus atmospheric pressure</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
80864976
https://darchive.mblwhoilibrary.org/bitstream/1912/28290/1/dataset-864720_hobo-u20l-water-level-and-seafloor-temperature-inside-and-outside-kelp__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.864720.1
download
onLine
dataset
<p><strong>Sampling Locations:</strong><br />
Sampling was conducted near the Monterey Peninsula near Pacific Grove and Monterey, California, USA. Kelp sites ranged from 8.8 to 10.3 meters deep and offshore sites ranged from 13.1 to 16.5 m deep.</p>
<p>Instrument moorings were deployed in 2018 in the following areas: a wave-protected kelp forest, ~100 meters offshore of the protected site, in a wave-exposed site devoid of kelp (historically has had kelp), and ~100 meters offshore of the exposed site.</p>
<p>Instrument moorings were deployed in 2019 in the following areas: a wave-protected kelp forest, ~175 meters offshore of the protected site, in a wave-exposed kelp site, and ~180 meters offshore of the exposed site.</p>
<p><strong>Location Abbreviations:</strong><br />
PK = Protected kelp 2018,<br />
PO = Protected offshore 2018,<br />
EK = Exposed ‘kelp’ 2018,<br />
EO = Exposed offshore 2018,<br />
MK = Protected kelp 2019,<br />
MO = Protected offshore 2019,<br />
OK = exposed kelp 2019,<br />
OO = Exposed offshore 2019.</p>
<p><strong>Methodology:</strong><br />
HOBO U20L water level and temperature loggers were attached to the bottom of each instrument mooring ~0.45 m above the seafloor. Instruments had to be swapped out periodically during deployment due to data storage capacity. Time and depth of deployment were recorded each time a sensor was deployed.</p>
Specified by the Principal Investigator(s)
<p><strong>Data Processing: </strong><br />
Data were processed using R software version 1.4.1717. Data from multiple instruments at each site were stitched together based on deployment times and data outside of deployment times was trimmed off.</p>
<p><strong>BCO-DMO Processing:</strong><br />
- converted local date to ISO8601 format;<br />
- created the ISO8601 date-time field in UTC;<br />
- replaced "NA" with "nd" (no data).</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
HOBO U20L water level and temperature logger
HOBO U20L water level and temperature logger
PI Supplied Instrument Name: HOBO U20L water level and temperature logger Instrument Name: Onset HOBO U20L water level logger series Instrument Short Name:HOBO U20L Instrument Description: The HOBO U20L is designed for monitoring changing water levels in a variety of applications including tidal areas, streams, lakes, wetlands, and groundwater. It outputs pressure, water level, and temperature data. The instrument can record samples, sensor measurements at each logging interval, and events data, occurrences such as a bad battery or host connected. The samples are recorded as absolute pressure values, which are later converted to water level readings using software. Absolute pressure is atmospheric pressure plus water head. The deployment of an additional HOBO U20L at the surface can be used to compensate for barometric pressure changes. Each instrument is individually calibrated. They require a coupler and optic base station or HOBO waterproof shuttle to connect to a computer. The instrument is operated with a 3.6 V lithium battery.
This series contains 3 models, U20L-01, U20L-02, and U20L-04, with different operation ranges, calibrated ranges, and burst pressures. The pressure sensor is temperature compensated between 0 and 40 degrees Celsius (C), and calibrated between 69 and a maximum of 400 kPa (depending on the model). Its accuracy is within 0.3 % of the full scale for absolute pressure, and 0.1 % FS for water level readings. The temperature sensor operates between -20 and 50 degrees C, with an accuracy of 0.44 deg C, and a resolution of 0.1 deg C. The drift is 0.1 deg C per year.