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            <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/dataset/962251.rdf" xlink:actuate="onRequest">Processed aquatic eddy covariance measurements collected under hypoxic conditions from seven eddy covariance lander deployments made during summer cruises on the Oregon and Washington mid-shelf in 2018 and 2022</gmx:Anchor>
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            <gco:CharacterString>Cite this dataset as: Reimers, C. E., Henkel, S. K. (2025) Processed aquatic eddy covariance measurements collected under hypoxic conditions from seven eddy covariance lander deployments made during summer cruises on the Oregon and Washington mid-shelf in 2018 and 2022. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-05-30 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.962251.1 [access date]</gco:CharacterString>
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        <gco:CharacterString>Aquatic Eddy Covariance Processed Measurements Dataset Description:  Methods and Sampling: &amp;lt;p&amp;gt;Seven eddy covariance lander deployments were made on the Oregon or Washington continental shelf at mean water depths ranging from 68-84 m in 2018 during R/V Oceanus cruises OC1807A and OC1808A and in 2022 during&amp;amp;nbsp;R/V Robert Gordon Sproul&amp;amp;nbsp;cruises SP2215 and SP2219.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;Data collected in 2018 (Deployments 1-3) were collected under NSF award OCE-1634319 to C. Reimers as part of a seasonal biogeochemical study of stations on the Newport Hydrographic line. Data collected in 2022 (Deployments 4-7) were from research under NSF award OCE-2126112 to S. Henkel and C. Reimers.&amp;amp;nbsp;These collections were combined with invertebrate infauna sampling at each station.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;Aluminum lander frames, moored to floats at the sea surface, were the deployment and recovery platforms for the eddy covariance velocity, pressure and dissolved oxygen sensors. The eddy covariance sensors on the landers operated autonomously producing continuous datasets at 32 or 64 Hz that were reduced by averaging to 8 Hz and were 18.5-31.5 hours in&amp;amp;nbsp;duration. A Nortek Vector Acoustic Doppler Velocimeter (ADV)&amp;amp;nbsp;was mounted vertically with the probe pointing down. Sampling&amp;amp;nbsp;heights were measured&amp;amp;nbsp;from a bottom echo at the start of each ADV record and ranged from 27-31 cm above the seafloor.&amp;amp;nbsp;The ADV also recorded its heading, pitch and roll angles at 1 Hz and averages of these essentially constant measurements are reported, and in the results publication were used to transform velocity time series to ENU coordinates. Oxygen sensor tips were positioned approximately 2 cm outside of the ADV sampling volume.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;Oxygen concentrations were derived after assembling&amp;amp;nbsp;calibration configuration files for each OXB430 sensor based on both “pre-” and “post-” deployment, in-laboratory, 0% and 100% air-saturation, sensor dphi recordings (i.e., values that represent the phase shift of the sensor’s NIR-emission relative to the red-light excitation) at a known temperature and atmospheric pressure. Next, these files were called by a Matlab function (provided by Rockland Scientific) to convert the sensor’s deployment record into physical units. The function inputs were data vectors of the sensor’s dphi readings, temperature, salinity, and water depth, in addition to the configuration files.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;lt;!--StartFragment--&amp;gt;Temperature was either based on temperature measurements made by an onboard Seabird 16plus V2 CTD, an internal sensor in the ADV, interpolated records between independent near-bottom measurements during casts of the ship's CTD, or temperature measurements from the Ocean Observatories Initiative benthic node (for deployment 3).&amp;amp;nbsp;Salinity was based on the same CTD sources.&amp;lt;!--EndFragment--&amp;gt;&amp;lt;/p&amp;gt;</gco:CharacterString>
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        <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/award/753223.rdf" xlink:title="OCE-1634319" xlink:actuate="onRequest">Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1634319 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1634319</gmx:Anchor>
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        <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/award/877542.rdf" xlink:title="OCE-2126112" xlink:actuate="onRequest">Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2126112 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2126112</gmx:Anchor>
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Highly productive US West Coast fishery species and marine mammals rely on benthic invertebrate communities for food. However, these communities are changing. This project addresses the potential ecological consequences of a new member to these benthic communities, the ghost shrimp Neotrypaea. In estuaries, Neotrypaea continuously rework the sediment via their burrowing activities. The combination of high shrimp abundances and the effects of burrowing mitigate the impacts of nutrient run-off (natural and human-induced) that can exacerbate low oxygen conditions. However, Neotrypaea are also considered threats to the oyster industry because of their sediment-excavating activities. An expansion of their distribution beyond estuaries may have additional unforeseen consequences for the Dungeness crab fishery (regionally valued at $33-74M/y) as Neotrypaea are both competitors with juveniles and prey for larger Dungeness crab. Thus, new data are needed to determine how offshore benthic communities are being altered by the recruitment of Neotrypaea into new habitats. This study is comparing communities with high and low shrimp abundances to understand their impact on offshore benthic communities. The shrimp’s contributions to oxygen and carbon cycling are being estimated through field measurements. Benthic community assessments are quantifying changes to food resources on the seafloor caused by the presence of these relatively large shrimp. The coastal waters along the Oregon-Washington shelf are commercially valuable, yet they are also subject to growing human-related impacts. Sustainable management requires optimizing extractive, cultural, and recreational activities. The broader impacts of this research include key data for managers, commercial fisheries’ stakeholders and oyster growers that inform decisions regarding ocean-use planning and management of burrowing shrimp. This project is providing research training for three graduate students and two summer undergraduate students. Curriculum development for elementary school students is focused on the ecology of soft-bottom benthos. The ocean sandy/muddy benthos are often unknown to K-12 students on the West Coast who are usually more familiar with intertidal and kelp forest systems.&lt;/p&gt;
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&lt;p&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.&lt;/p&gt;</gco:CharacterString>
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	Name: Oxy_sensor
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	Name: Lat
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	Units: decimal degrees
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	Units: degrees
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                <gco:CharacterString>&amp;lt;p&amp;gt;Seven eddy covariance lander deployments were made on the Oregon or Washington continental shelf at mean water depths ranging from 68-84 m in 2018 during R/V Oceanus cruises OC1807A and OC1808A and in 2022 during&amp;amp;nbsp;R/V Robert Gordon Sproul&amp;amp;nbsp;cruises SP2215 and SP2219.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;Data collected in 2018 (Deployments 1-3) were collected under NSF award OCE-1634319 to C. Reimers as part of a seasonal biogeochemical study of stations on the Newport Hydrographic line. Data collected in 2022 (Deployments 4-7) were from research under NSF award OCE-2126112 to S. Henkel and C. Reimers.&amp;amp;nbsp;These collections were combined with invertebrate infauna sampling at each station.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;Aluminum lander frames, moored to floats at the sea surface, were the deployment and recovery platforms for the eddy covariance velocity, pressure and dissolved oxygen sensors. The eddy covariance sensors on the landers operated autonomously producing continuous datasets at 32 or 64 Hz that were reduced by averaging to 8 Hz and were 18.5-31.5 hours in&amp;amp;nbsp;duration. A Nortek Vector Acoustic Doppler Velocimeter (ADV)&amp;amp;nbsp;was mounted vertically with the probe pointing down. Sampling&amp;amp;nbsp;heights were measured&amp;amp;nbsp;from a bottom echo at the start of each ADV record and ranged from 27-31 cm above the seafloor.&amp;amp;nbsp;The ADV also recorded its heading, pitch and roll angles at 1 Hz and averages of these essentially constant measurements are reported, and in the results publication were used to transform velocity time series to ENU coordinates. Oxygen sensor tips were positioned approximately 2 cm outside of the ADV sampling volume.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;Oxygen concentrations were derived after assembling&amp;amp;nbsp;calibration configuration files for each OXB430 sensor based on both “pre-” and “post-” deployment, in-laboratory, 0% and 100% air-saturation, sensor dphi recordings (i.e., values that represent the phase shift of the sensor’s NIR-emission relative to the red-light excitation) at a known temperature and atmospheric pressure. Next, these files were called by a Matlab function (provided by Rockland Scientific) to convert the sensor’s deployment record into physical units. The function inputs were data vectors of the sensor’s dphi readings, temperature, salinity, and water depth, in addition to the configuration files.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;lt;!--StartFragment--&amp;gt;Temperature was either based on temperature measurements made by an onboard Seabird 16plus V2 CTD, an internal sensor in the ADV, interpolated records between independent near-bottom measurements during casts of the ship's CTD, or temperature measurements from the Ocean Observatories Initiative benthic node (for deployment 3).&amp;amp;nbsp;Salinity was based on the same CTD sources.&amp;lt;!--EndFragment--&amp;gt;&amp;lt;/p&amp;gt;</gco:CharacterString>
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                  <gco:CharacterString>- Imported &amp;quot;D6NEH2_metadata.xlsx&amp;quot;, &amp;quot;D7WLP1_metadata.xlsx&amp;quot;, &amp;quot;D5NKW1_metadata.xlsx&amp;quot;, &amp;quot;D2NH80_metadata.xlsx&amp;quot;, &amp;quot;D3NH80_metadata.xlsx&amp;quot;, &amp;quot;D4PWS2_metadata.xlsx&amp;quot;, &amp;quot;D1NH80_metadata.xlsx&amp;quot; into the BCO-DMO system
- Concatenated data sources
- Split the filename into deployment and station strings
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- Split the filename into deployment and station strings
- Joined metadata files and data files on the station and deployment identifiers
- Renamed fields for clarity and to comply with system requirements
- Removed Temp based on request from submitter
- Rounded Elapsed_time, Velocity_x, Velocity_y, Velocity_z, Dissolved_oxygen, Pressure, and Burst to 5 digits
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Reference:
G. Voulgaris and J. H. Trowbridge, 1998. Evaluation of the Acoustic Doppler Velocimeter (ADV) for Turbulence Measurements. J. Atmos. Oceanic Technol., 15, 272–289. doi: http://dx.doi.org/10.1175/1520-0426(1998)0152.0.CO;2 Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/384/</gco:CharacterString>
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