Dataset: Data from moored instruments (pH, dissolved oxygen, temperature, salinity, PAR, pressure) at 9 depths outside and inside the kelp canopy at Hopkins Marine Station, recorded between June and October 2018.

Name: Data from moored instruments (pH, dissolved oxygen, temperature, salinity, PAR, pressure) at 9 depths outside and inside the kelp canopy at Hopkins Marine Station, recorded between June and October 2018.
Published: 2020-09-02
Keywords: ocean acidification, kelp forest, biogeochemistry, spatiotemporal variability, upwelling, pH, oxygen, temperature, salinity, PAR, oceans

Final no updates expectedDOI: 10.26008/1912/bco-dmo.822549.1Version 1 (2020-09-02)Dataset Type:Other Field Results

Principal Investigator, Project Coordinator: Kerry J. Nickols (California State University Northridge)

Co-Principal Investigator: Robert B. Dunbar (Stanford University)

Scientist, Contact: Heidi Hirsh (Stanford University)

Scientist: Stephen G. Monismith (Stanford University)

Scientist: David Mucciarone (Stanford University)

Scientist: Yuichiro Takeshita (Monterey Bay Aquarium Research Institute)

Scientist: Sarah Traiger (United States Geological Survey)

BCO-DMO Data Manager: Karen Soenen (Woods Hole Oceanographic Institution)

Project: Collaborative Research: RUI: Building a mechanistic understanding of water column chemistry alteration by kelp forests: emerging contributions of foundation species (Kelp forest biogeochemistry)

Abstract

Data from moored instruments (pH, dissolved oxygen, temperature, salinity, PAR, pressure) at 9 depths outside (36° 37.342’ N, 121° 54.049’ W) and inside the kelp canopy (36° 37.297’ N, 121° 54.102’ W.) at Hopkins Marine Station, recorded between June and October 2018. The tidal depth of the kelp canopy mooring ranges from 8 to 11 meter. The outside mooring is located 115m north and offshore from the kelp forest, the tidal range is 16 to 9 meters.

Cite Dataset

Spatial Extent: N:36.62 E:-121.90 S:36.62 W:-121.90
Temporal Extent: 2018-06-07 - 2018-10-04

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Citations

These data are published in Hirsh et al., see related publications section.

Related Datasets

IsSourceOf

Dataset: Kelp Forest Estimated Carbonate Parameters
Relationship Description: The derived carbonate system data comes from the kelp mooring data (pH, temperature, salinity)

Hirsh, H., Nickols, K. J., Takeshita, Y., Traiger, S., Monismith, S. G., Mucciarone, D., Dunbar, R. B. (2020) Kelp forest mooring DIC, TA, pCO2, and aragonite saturation state estimations inside the kelp canopy (36° 37.297’ N, 121° 54.102’ W.) at Hopkins Marine Station, recorded between June and October 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-09-02 doi:10.26008/1912/bco-dmo.823008.1

Related Publications

Results

Hirsh, H. K., Nickols, K. J., Takeshita, Y., Traiger, S. B., Mucciarone, D. A., Monismith, S., & Dunbar, R. B. (2020). Drivers of Biogeochemical Variability in a Central California Kelp Forest: Implications for Local Amelioration of Ocean Acidification. Journal of Geophysical Research: Oceans, 125(11). Portico. https://doi.org/10.1029/2020jc016320

Methods

Bittig, H. C., & Körtzinger, A. (2015). Tackling Oxygen Optode Drift: Near-Surface and In-Air Oxygen Optode Measurements on a Float Provide an Accurate in Situ Reference. Journal of Atmospheric and Oceanic Technology, 32(8), 1536–1543. doi:10.1175/jtech-d-14-00162.1

Methods

Bresnahan, P. J., Martz, T. R., Takeshita, Y., Johnson, K. S., & LaShomb, M. (2014). Best practices for autonomous measurement of seawater pH with the Honeywell Durafet. Methods in Oceanography, 9, 44–60. doi:10.1016/j.mio.2014.08.003

Methods

Bushinsky, S. M., & Emerson, S. (2013). A method for in-situ calibration of Aanderaa oxygen sensors on surface moorings. Marine Chemistry, 155, 22–28. doi:10.1016/j.marchem.2013.05.001

Methods

Johnson, K. S., Plant, J. N., Riser, S. C., & Gilbert, D. (2015). Air Oxygen Calibration of Oxygen Optodes on a Profiling Float Array. Journal of Atmospheric and Oceanic Technology, 32(11), 2160–2172. doi:10.1175/jtech-d-15-0101.1

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Dataset: Data from moored instruments (pH, dissolved oxygen, temperature, salinity, PAR, pressure) at 9 depths outside and inside the kelp canopy at Hopkins Marine Station, recorded between June and October 2018.

Final no updates expectedDOI: 10.26008/1912/bco-dmo.822549.1Version 1 (2020-09-02)Dataset Type:Other Field Results

Principal Investigator, Project Coordinator: Kerry J. Nickols (California State University Northridge)

Co-Principal Investigator: Robert B. Dunbar (Stanford University)

Scientist, Contact: Heidi Hirsh (Stanford University)

Scientist: Stephen G. Monismith (Stanford University)

Scientist: David Mucciarone (Stanford University)

Scientist: Yuichiro Takeshita (Monterey Bay Aquarium Research Institute)

Scientist: Sarah Traiger (United States Geological Survey)

BCO-DMO Data Manager: Karen Soenen (Woods Hole Oceanographic Institution)

Project: Collaborative Research: RUI: Building a mechanistic understanding of water column chemistry alteration by kelp forests: emerging contributions of foundation species (Kelp forest biogeochemistry)

Abstract

Cite Dataset

Spatial Extent: N:36.62 E:-121.90 S:36.62 W:-121.90
Temporal Extent: 2018-06-07 - 2018-10-04

XXX

Views

XX

Downloads

X

Citations

These data are published in Hirsh et al., see related publications section.

Related Datasets

IsSourceOf

Dataset: Kelp Forest Estimated Carbonate Parameters
Relationship Description: The derived carbonate system data comes from the kelp mooring data (pH, temperature, salinity)

Related Publications

Results

Methods

Bushinsky, S. M., & Emerson, S. (2013). A method for in-situ calibration of Aanderaa oxygen sensors on surface moorings. Marine Chemistry, 155, 22–28. doi:10.1016/j.marchem.2013.05.001

Methods

File(s)	Type	Description	Action
mooring_inside_outside.csv (51.28 MB)	Comma Separated Values (.csv)	Primary data file for dataset ID 822549	Download

Supplemental File(s)	Type	Description	Action
KelpMooring_Outside_DeploymentDetails.pdf (54.27 KB)	Portable Document Format (.pdf)	Sensor deployment details for the kelp and outside mooring for datasets related to the Kelp forest biogeochemistry project.	Download

File(s)	Type	Description	Action
mooring_inside_outside.csv (51.28 MB)	Comma Separated Values (.csv)	Primary data file for dataset ID 822549	Download

Supplemental File(s)	Type	Description	Action
KelpMooring_Outside_DeploymentDetails.pdf (54.27 KB)	Portable Document Format (.pdf)	Sensor deployment details for the kelp and outside mooring for datasets related to the Kelp forest biogeochemistry project.	Download

Dataset: Data from moored instruments (pH, dissolved oxygen, temperature, salinity, PAR, pressure) at 9 depths outside and inside the kelp canopy at Hopkins Marine Station, recorded between June and October 2018.

Principal Investigator, Project Coordinator: Kerry J. Nickols (California State University Northridge)

Co-Principal Investigator: Robert B. Dunbar (Stanford University)

Scientist, Contact: Heidi Hirsh (Stanford University)

Scientist: Stephen G. Monismith (Stanford University)

Scientist: David Mucciarone (Stanford University)

Scientist: Yuichiro Takeshita (Monterey Bay Aquarium Research Institute)

Scientist: Sarah Traiger (United States Geological Survey)

BCO-DMO Data Manager: Karen Soenen (Woods Hole Oceanographic Institution)

Project: Collaborative Research: RUI: Building a mechanistic understanding of water column chemistry alteration by kelp forests: emerging contributions of foundation species (Kelp forest biogeochemistry)

Abstract

Metadata

XXX

XX

X

Related Datasets

Related Publications

Dataset: Data from moored instruments (pH, dissolved oxygen, temperature, salinity, PAR, pressure) at 9 depths outside and inside the kelp canopy at Hopkins Marine Station, recorded between June and October 2018.

Principal Investigator, Project Coordinator: Kerry J. Nickols (California State University Northridge)

Co-Principal Investigator: Robert B. Dunbar (Stanford University)

Scientist, Contact: Heidi Hirsh (Stanford University)

Scientist: Stephen G. Monismith (Stanford University)

Scientist: David Mucciarone (Stanford University)

Scientist: Yuichiro Takeshita (Monterey Bay Aquarium Research Institute)

Scientist: Sarah Traiger (United States Geological Survey)

BCO-DMO Data Manager: Karen Soenen (Woods Hole Oceanographic Institution)

Project: Collaborative Research: RUI: Building a mechanistic understanding of water column chemistry alteration by kelp forests: emerging contributions of foundation species (Kelp forest biogeochemistry)

Abstract

Metadata

XXX

XX

X

Related Datasets

Related Publications