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            <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/dataset/879389.rdf" xlink:actuate="onRequest">4Hz data from 8 Wire Flyer deployments conducted on R/V Atlantis cruise AT42-03 in the Costa Rica Margin from October to November 2018</gmx:Anchor>
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            <gco:CharacterString>Cite this dataset as: Roman, C. N. (2022) 4Hz data from 8 Wire Flyer deployments conducted on R/V Atlantis cruise AT42-03 in the Costa Rica Margin from October to November 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-08-31 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/879389 [access date]</gco:CharacterString>
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        <gco:CharacterString>2018 Wire Flyer 4Hz data Dataset Description:  Methods and Sampling: &amp;lt;p&amp;gt;Data were collected from Wire Flyer deployments on R/V Atlantis cruise AT42-03 in the Costa Rica Margin from October to November 201. These data are reported directly from the sensors or were calculated using the seawater toolbox. The data have not been corrected for any time lags. Refer to the Supplemental Files for more information on the Wire Flyer.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Known Problems/Issues:&amp;lt;/strong&amp;gt;&amp;lt;br /&amp;gt;
There is some difference in the fluorometer data between the up and down casts. We are not sure what is causing this just yet. This can be seen as an obvious striping pattern in the profile plots. The oxygen sensor has a time lag of 5-7 seconds. Applying this amount of lag helps align the up and down casts well. The data here are not time shifted.&amp;lt;/p&amp;gt;</gco:CharacterString>
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                            <gco:CharacterString>&lt;p&gt;&lt;em&gt;NSF abstract:&lt;/em&gt;&lt;br /&gt;
If life were to disappear from the deep sea, would we notice? We only have a cursory understanding of this vast region and the connectivity among its communities and the rest of the oceans, and yet the ecosystems of the deep sea have been implicated in the larger function of the global marine ecosystems. We now rely on the deep ocean for food, energy, novel drugs and materials, and for its role in the global cycling of carbon, as well as for supporting services such as habitat creation, nutrient replenishment for shallow waters, and the maintenance of biodiversity. Cold seeps, active areas of the seafloor where methane and other chemicals are released, are key features along the continental margins worldwide. To characterize how methane seep communities interact with the surrounding ecosystems and vice versa, we will study methane seeps off the Pacific coast of Costa Rica in 2017 and 2018. It is the sphere of influence around the seep, both along the seafloor and up into the water column, that we seek to better understand. We will map the structure and the chemistry surrounding these habitats using a novel 3-dimensional framework, combining typical transects with vertical characterizations of the water column just above the seafloor. This will include measurements of methane flux into the water column and changes in the overlying carbonate chemistry and oxygen levels that are critical to our understanding of the effect of warming, oxygen loss and ocean acidification in this region. Within this framework, we will collect seep organisms in sediments and on rocks (including all sizes from microbes to large animals), and transplant some of these from within the area of seep influence to the background deep sea, and vice-versa. Together, these studies will help us to measure the size of the seep sphere of influence, and also demonstrate the role of these seeps within the deep sea and the greater, global, marine ecosystem. We will share this information with a group of teachers during a series of workshops in the San Diego area, at an exhibit at the Birch Aquarium, and through the work of an artist who has worked extensively with marine organisms in extreme environments.&lt;/p&gt;
&lt;p&gt;Chemosynthetic ecosystems are inextricably linked to the broader world-ocean biome and global biogeochemical cycles in ways that we are just beginning to understand. This research will identify the form, extent, and nature of the physical, chemical, and biological linkages between methane seeps and the surrounding deep-sea ecosystem. The proposed research builds critical understanding of the structural and functional processes that underpin the ecosystem services provided by chemosynthetic ecosystems. We target a critical continental margin, Costa Rica, where methane fates and dynamics loom large and play out in an setting that reflects many oceanographic stressors. We will use quantitative sampling and manipulative studies within a 3-dimensional oceanographic framework. We will ask what are the shapes of the diversity and density functions for organisms of different size classes and trophic position over the transition from the seep habitat through the ecotone to the background deep sea? Further, we will ask how do depth, dissolved oxygen concentrations, pH and carbonate ion availability, relative rates of fluid flux, and substrate (biogenic, authigenic carbonate, sediments) alter these linkages and interactions with the surrounding deep sea? Evidence for distinct transitional communities and biotic patterns in density and alpha and beta diversity will be quantified and placed in a global biogeographic context. All of these investigations will occur across biological size spectra: for microorganisms (archaea, bacteria, microeukaryotes), the macrofauna, and the megafauna that form biogenic habitats. Our research results will be interpreted in the context of potential effects of global ocean change in the equatorial Pacific to determine how the linkages with the surrounding deep sea will be altered as anthropogenic impacts proceed in the future. &lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Related publications:&lt;/strong&gt;&lt;br /&gt;
Levin, L.A., V.J. Orphan, G.W. Rouse, W. Ussler, A. E. Rathburn, G. S. Cook, S. Goffredi, E. Perez, A. Waren, B. Grupe, G. Chadwick, B. Strickrott. (2012). A hydrothermal seep on the Costa Rica margin: Middle ground in a continuum of reducing ecosystems. &lt;em&gt;Proc. Royal Soc. B.&lt;/em&gt; 279: 2580-88 doi: &lt;a href=&quot;http://dx.doi.org/10.1098/rspb.2012.0205&quot; target=&quot;_blank&quot;&gt;10.1098/rspb.2012.0205&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;Sahling, H., Masson, D. G., Ranero, C. R., Hühnerbach, V., Weinrebe, W., Klaucke, I., &amp;amp; Suess, E. (2008). Fluid seepage at the continental margin offshore Costa Rica and southern Nicaragua. &lt;em&gt;Geochemistry, Geophysics, Geosystems&lt;/em&gt; 9: doi: &lt;a href=&quot;http://dx.doi.org/10.1029/2008GC001978&quot; target=&quot;_blank&quot;&gt;10.1029/2008GC001978&lt;/a&gt;&lt;/p&gt;</gco:CharacterString>
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	Description: &lt;p&gt;Unix time&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/879438.rdf
	Name: Lat
	Units: degrees North
	Description: &lt;p&gt;latitude of the Wire Flyer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/879439.rdf
	Name: Lon
	Units: degrees East
	Description: &lt;p&gt;longitude of the Wire Flyer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/879440.rdf
	Name: Depth_m
	Units: meters (m)
	Description: &lt;p&gt;depth calculated using seawater toolbox&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/879441.rdf
	Name: Vertical_velocity_m_per_sec_pos_down
	Units: meters per second (m/s)
	Description: &lt;p&gt;vertical velocity&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/879442.rdf
	Name: Temperature_C
	Units: degrees Celsius
	Description: &lt;p&gt;temperature&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/879443.rdf
	Name: Pot_temperature_C
	Units: degrees Celsius
	Description: &lt;p&gt;potential temperature calculated using seawater toolbox&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/879444.rdf
	Name: Pot_density
	Units: kilograms per cubic meter (kg/m^3)
	Description: &lt;p&gt;potential density calculated using seawater toolbox&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/879445.rdf
	Name: Pressure_db
	Units: decibars (db)
	Description: &lt;p&gt;pressure&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/879446.rdf
	Name: Conductivity_sm
	Units: siemens-meter (sm)
	Description: &lt;p&gt;conductivity&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/879447.rdf
	Name: Salinity_PSU
	Units: PSU
	Description: &lt;p&gt;salinity calculated using seawater toolbox&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/879448.rdf
	Name: Sound_velocity_m_per_sec
	Units: meters per second (m/s)
	Description: &lt;p&gt;sound velocity calculated using seawater toolbox&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/879449.rdf
	Name: O2_con_umol
	Units: micromoles (umol)
	Description: &lt;p&gt;oxygen concentration&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/879450.rdf
	Name: optode_temp_C
	Units: degrees Celsius
	Description: &lt;p&gt;optode temperature&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/879451.rdf
	Name: Air_sat_percent
	Units: unitless (percent)
	Description: &lt;p&gt;air percent saturation&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/879452.rdf
	Name: Chlorophyll_ug_per_L
	Units: micrograms per liter (ug/L)
	Description: &lt;p&gt;chlorophyll&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/879453.rdf
	Name: Turbidity_NTU
	Units: NTU
	Description: &lt;p&gt;turbidity&lt;/p&gt; 
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&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Known Problems/Issues:&amp;lt;/strong&amp;gt;&amp;lt;br /&amp;gt;
There is some difference in the fluorometer data between the up and down casts. We are not sure what is causing this just yet. This can be seen as an obvious striping pattern in the profile plots. The oxygen sensor has a time lag of 5-7 seconds. Applying this amount of lag helps align the up and down casts well. The data here are not time shifted.&amp;lt;/p&amp;gt;</gco:CharacterString>
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&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;BCO-DMO Processing:&amp;lt;/strong&amp;gt;&amp;lt;br /&amp;gt;
- concatenated data from 8 separate files into one dataset;&amp;lt;br /&amp;gt;
- created new column &amp;quot;deployment_id&amp;quot; (based on original file name);&amp;lt;br /&amp;gt;
- removed the CDOM column (not used);&amp;lt;br /&amp;gt;
- converted date/time field to ISO8601 format.&amp;lt;/p&amp;gt;</gco:CharacterString>
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                <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/instrument/860156.rdf" xlink:title="WETLabs ECO FLBB scattering fluorescence sensor" xlink:actuate="onRequest">Wet Labs Flbb-2k</gmx:Anchor>
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            <gco:CharacterString>PI Supplied Instrument Name: Wet Labs Flbb-2k PI Supplied Instrument Description:The Chl and turbidity are from a Wet Labs Flbb-2k, 470/695 nm Chl-a and 700nm turbidity. Instrument Name: WETLabs ECO FLBB scattering fluorescence sensor Instrument Short Name:WETLabs ECO FLBB   Instrument Description: A dual-optical-sensor that carries a single-wavelength chlorophyll fluorometer (470nm ex/695nm em) and backscattering sensor (700 nm) that measures phytoplankton and particle concentration. It operates by using blue (470nm) and red (700 nm) LEDs that alternately flash. The blue LED stimulates chlorophyll fluorescence in plants while the red light illuminates the total particle field. The backscattering sensor has an in-water centroid angle of 142 degrees and can be calibrated to measure turbidity. The fluorometer can typically measure phytoplankton concentrations in the range 0-30 ug/l, with a sensitivity of 0.015 ug/l. The backscattering sensor can measure within the range 0-3 m-1, with a sensitivity of 0.0015 m-1. The instrument output in the standard version is digital and uses a low power mode and stores data. Other variants are used. The instrument is rated to a depth of 600m as standard, with the options of deeper instruments rated up to 6000m and instruments with bio-wipers, rated to 300 m.

This instrument comes in the following optional models: FLbb(RT), FLbb(RT)D, FLbbB, FLbbS, FLbbBS, FLbb2k. Refer to the datasheet from the manufacturer: https://www.seabird.com/asset-get.download.jsa?id=55460873804</gco:CharacterString>
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              <gmd:code>
                <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/instrument/859841.rdf" xlink:title="Wire Flyer Towed Profiling System" xlink:actuate="onRequest">Wire Flyer</gmx:Anchor>
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          <gmi:type>
            <gco:CharacterString>Wire Flyer</gco:CharacterString>
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            <gco:CharacterString>PI Supplied Instrument Name: Wire Flyer Instrument Name: Wire Flyer Towed Profiling System Instrument Short Name:Wire Flyer   Instrument Description: Description from Roman et al. (2019):
The Wire Flyer towed vehicle is a platform able to collect high-resolution water column sections. The vehicle is motivated by a desire to effectively capture spatial structures at the submesoscale. The Wire Flyer profiles up and down along a ship-towed cable autonomously using controllable wings for propulsion. At ship speeds between 2 and 5 kt (1.02–2.55 m s−1), the vehicle is able to profile over prescribed depth bands down to 1000 m. The vehicle carries sensors for conductivity, temperature, depth, oxygen, turbidity, chlorophyll, pH, and oxidation reduction potential. During normal operations, the vehicle is typically commanded to cover vertical regions between 300 and 400 m in height with profiles that repeat at kilometer spacing. The vertical profiling speed can be user-specified up to 150 m min−1. During operations, an acoustic modem is used to communicate with the vehicle to provide status information, data samples, and the ability to modify the sampling pattern.  

Detailed information can be found in the following publication:
Roman, C., Ullman, D. S., Hebert, D., &amp; Licht, S. (2019). The Wire Flyer Towed Profiling System. Journal of Atmospheric and Oceanic Technology, 36(2), 161–182. doi:10.1175/jtech-d-17-0180.1</gco:CharacterString>
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