http://lod.bco-dmo.org/id/dataset/659138
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
2016-09-20
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Effects of food on body condition of larval oysters under different levels of ocean acidification; experiments conducted at Bodega Marine Laboratory (BML), UC Davis in June 2011
2016-09-19
publication
2016-09-19
revision
BCO-DMO Linked Data URI
2016-09-19
creation
http://lod.bco-dmo.org/id/dataset/659138
Brian Gaylord
University of California - Davis: Bodega Marine Laboratory
principalInvestigator
Tessa M. Hill
University of California - Davis: Bodega Marine Laboratory
principalInvestigator
Ann D. Russell
University of California-Davis
principalInvestigator
Eric Sanford
University of California - Davis: Bodega Marine Laboratory
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: Gaylord, B., Hill, T. M., Sanford, E., Russell, A. D. (2016) Effects of food on body condition of larval oysters under different levels of ocean acidification; experiments conducted at Bodega Marine Laboratory (BML), UC Davis in June 2011. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 19 Sept 2016) Version Date 2016-09-19 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/659138 [access date]
Effects of food on body condition of larval oysters under different levels of ocean acidification Dataset Description: <p>Effects of food on body condition of larval Olympia oysters under different levels of ocean acidification.</p>
<p>Related datasets:<br />
<a href="http://www.bco-dmo.org/dataset/659625" target="_blank">larval growth</a><br />
<a href="http://www.bco-dmo.org/dataset/659651" target="_blank">metamorphosis</a></p> Methods and Sampling: <p><strong>Detailed methodology and results are described in the following publication:</strong><br />
Hettinger, A., E. Sanford, T.M. Hill, J.D. Hosfelt, A.D. Russell, and B. Gaylord. 2013. The influence of food supply on the response of Olympia oyster larvae to ocean acidification. Biogeosciences 10: 6629-6638. doi:<a href="http://dx.doi.org/10.5194/bg-10-6629-2013" target="_blank">10.5194/bg-10-6629-2013</a></p>
<p><strong>Briefly (excerpted from above):</strong><br />
Adult Olympia oysters (n = 140) were collected from Tomales Bay, California (38 deg 06'58" N, 122 deg 51'16" W) in June 2011, transported to Bodega Marine Laboratory (BML) and distributed evenly among four 100 L culturing cylinders. A similar average size of adult oysters was maintained among cylinders. Every day, adults in each cylinder were fed microalgae (<em>Isochrysis galbana</em>) at a high concentration to encourage larval release. Seawater, filtered to 0.45 um and held at 18– 22 degrees C, was changed every other day. Adults released larvae in two of the four culturing cylinders after 72 h. Larvae were distributed by pipette to 4.5 L glass jars on day 1 of the experiment (n = 1000 larvae per jar). Each jar held 2 L of filtered seawater at the appropriate pCO2 level, resulting in initial rearing concentrations of 1 larva per 2 mL of seawater.</p>
<p>In subsequent experimental trials, the investigators employed a target elevated seawater pCO2 concentration of 1000 uatm (~7.76 pH). The target control seawater pCO2 concentration was 500 uatm (~8.05 pH). All seawater used during larval rearing was pre-adjusted, prior to addition of larvae, to the appropriate pCO2 concentrations in 20 L carboys by bubbling filtered seawater for 2–3 days with NIST-traceable CO2 air mixtures (carboy water). To minimize net CO2 exchange across the seawater surfaces in the jars and help maintain seawater pCO2 concentrations at target levels within the jars, the same CO2 gas mixtures used to maintain carboy water were pumped continuously into sealed air spaces above the free surfaces of the seawater in the culture jars (hereafter "headspaces"). Five replicate jars per pCO2 concentration shared a given headspace. Carboys and jars were held in seawater tables maintained at 20 degrees C (+/- 0.2 degrees C).</p>
<p>Every other day, 90% of the seawater in each jar (jar water) was removed using reverse-filtration through 125 um mesh and replaced with carboy water at the target pCO2 concentration. Immediately following each water change, microalgae (I. galbana) were added to each jar to generate final densities in each jar of: 100,000, 50,000, or 10,000 cells per mL (n = 2 pCO2 levels × 3 food levels × 5 replicate jars = 30 jars). The three food levels were the equivalent of initial daily algal cell to larva ratios of 50, 25, and 5 cells per larva per day.</p>
<p><em>Seawater chemistry:</em><br />
Jar water and carboy water were sampled for total alkalinity (TA) and dissolved inorganic carbon (DIC) every other day when a water change was performed. Seawater pH and temperature were measured using a potentiometric pH/temperature meter (Accumet Excel XL60). Raw pH readings (mV) were calibrated using two seawater buffers. pH was monitored primarily as a real-time indicator of changes in the carbonate system. Salinity was determined using a YSI Professional Plus Multiparameter instrument with a conductivity probe (YSI, Yellow Springs, OH). TA was measured using automated Gran titration with duplicates (Metrohm 809), and standardized using certified reference material (CRM) from A. Dickson. The offset between measured and certified TA values for Dickson CRM (Batches 104, 107, 111) was −0.01 (+/- 2.81) meq per kg (n = 91). Other carbonate system parameters were calculated using the carbonate system analysis software CO2SYS (Lewis andWallace, 1998).</p>
<p><em>Sampling of larval growth:</em><br />
On day 1, prior to their placement in the culture jars, larvae were collected haphazardly by pipette (n = 20), placed on a 125 um Nitex plankton filter, rinsed, and left to dry at room temperature for 24 h. Larvae were photographed individually under a dissecting microscope (Leica M125 with DC290 camera) for analysis using ImageJ software (ver. 1.37, National Institutes of Health) to determine the initial projected area of the shell. Larvae were sampled similarly on day 5, 9, and 11 post-larval release (n = 10 larvae per jar at each time point). Larval growth was estimated as the change in projected shell area since larval release (day 1).</p>
<p><em>Sampling of larval total dry weight:</em><br />
Total dry weight (body plus shell, ug) of the oysters was also determined on days 5, 9, and 11 post larval release. Larvae were collected haphazardly by pipette from each jar (n = 25), placed on a 125 um Nitex plankton filter, and rinsed. Total dry weights of larvae sampled were determined by transferring larvae individually to aluminum vessels pre-ashed at 500 degrees C for 3 h, drying the larval sample at 50 degrees C for &gt;24 h, and weighing on a microbalance (Sartorius Ultramicro, Goettingen, Germany). Larvae were dried in their vessels a second time, reweighed to verify their weights, and combusted at 460 degres C for 4 h in a muffle furnace (Thermo Scientific FB1415M) to remove all organic matter (see also Gaylord et al., 2011). Ash-free dry tissue weights were determined from the weight difference before and after combusting.</p>
<p><em>Sampling of percent metamorphosis:</em><br />
Settlement of larvae and metamorphosis into benthic juveniles was assessed daily starting on day 11, two days after larval transfers were made into the substrate jars. When &lt;5% of larvae remained swimming (used as the assay point for settlement) in each pCO2 treatment, the bases of each substrate jar were removed, and the proportion of metamorphosed individuals was determined by first subtracting dead and non-metamorphosed larvae (e.g., pediveligers) from the total initial number of larvae, then dividing by the total initial number of larvae (1000). Any metamorphosed individuals on the walls of the glass jars were also included in the proportion of metamorphosed individuals.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-0927255 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=0927255
completed
Brian Gaylord
University of California - Davis: Bodega Marine Laboratory
707-875-1940
Bodega Marine Laboratory & Department of Evolution and Ecology 2099 Westshore Road, P.O. Box 247
Bodega Bay
CA
94923
USA
bpgaylord@ucdavis.edu
pointOfContact
Tessa M. Hill
University of California - Davis: Bodega Marine Laboratory
P.O. Box 247 2099 Westshore Road
Bodega Bay
CA
94923
USA
tmhill@ucdavis.edu
pointOfContact
Ann D. Russell
University of California-Davis
Department of Geology One Shields Avenue University of California Davis
Davis
CA
95616
USA
adrussell@ucdavis.edu
pointOfContact
Eric Sanford
University of California - Davis: Bodega Marine Laboratory
P.O. Box 247 2099 Westshore Road
Bodega Bay
CA
94923
USA
edsanford@ucdavis.edu
pointOfContact
asNeeded
Dataset Version: 19 Sept 2016
Unknown
larvae_age
target_pCO2
jar
headspace
food_level
tissue_mass
total_dry_weight
shell_mass
DC290
Leica M125
YSI Professional Plus Multiparameter instrument
Accumet Excel XL60
Metrohm 809
Accumet Excel XL60
theme
None, User defined
age
treatment
mass
weight
featureType
BCO-DMO Standard Parameters
Camera
Microscope - Optical
Multi Parameter Portable Meter
pH Sensor
Titrator
Water Temperature Sensor
instrument
BCO-DMO Standard Instruments
BML_Gaylord
service
Deployment Activity
Bodega Marine Lab, UC Davis
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.
Bodega Ocean Acidification Research
http://bml.ucdavis.edu/research/research-programs/climate-change/oceanacidification/
Bodega Ocean Acidification Research
<p>The absorption of human-produced CO2 into the world's oceans is decreasing seawater pH and causing marked declines in the saturation state for calcium carbonate, a major building block for shells, skeletons, and tests of many marine species. Such changes (collectively termed "ocean acidification") have the potential to devastate a broad array of organisms, both at the level of individuals and at population and ecosystem scales. Although awareness of these issues is rapidly growing, most of what is known is based on studies of coral reef organisms and plankton.</p>
<p>The proposed work will enhance understanding of impacts from ocean acidification by providing rigorous data on several new fronts applicable to temperate systems. The project will operate within one of the strongest upwelling centers of the eastern Pacific, where global trends in acidification are amplified by the presence of cold water characterized by already-high levels of aqueous CO2. Using an integrated, comparative approach that exploits the expertise of oceanographers, marine chemists, and biologists, the project will explicitly couple moored and shipboard measurements of seawater chemistry to controlled laboratory and field studies of biological responses.</p>
<p>Two vital foundation species (the California mussel, <em>Mytilus californianus</em>, and the Olympia oyster, <em>Ostrea conchaphila</em>) will be targeted. These two species play disproportionately important roles in open-coast and estuarine systems, respectively. Larvae (which are often the most vulnerable stages) of mussels and oysters will be cultured under elevated-CO2 conditions through the full pelagic period and into juvenile life. Growth and survivorship will be quantified, and water temperature and salinity will be varied to test for interactive effects of multiple factors. Intraspecific variation in response of larvae from different parental lineages will be examined. "Carry-over" effects that originate from exposure during the larval stage, but influence subsequent juvenile growth and survival, will be determined both in the laboratory and using field outplants. Because larval and juvenile stages play important roles as demographic age-structure bottlenecks, overall population consequences will be estimated through comparison of observed impacts on early life stages to other recognized sources of recruitment variation.</p>
<p><strong>Data Status:</strong> Data will be reported from the BML offshore oceanographic moorings and from moorings within nearby Tomales Bay. The moorings will be outfitted with autonomously recording pH and pCO2 sensors, and these measurements will be supplemented with discrete water samples collected monthly along two associated transects.</p>
<p><strong>Live Data:</strong> For live-streaming data from Tomales Bay, visit <a href="http://www.ipacoa.org/Explorer" target="_blank">http://www.ipacoa.org/Explorer</a> and click on the icon in Tomales Bay.</p>
BOAR
largerWorkCitation
project
eng; USA
biota
oceans
Bodega Marine Lab, UC Davis
2016-09-19
Central California coast (northeast Pacific)
0
BCO-DMO catalogue of parameters from Effects of food on body condition of larval oysters under different levels of ocean acidification; experiments conducted at Bodega Marine Laboratory (BML), UC Davis in June 2011
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/659617.rdf
Name: larvae_age
Units: number of days
Description: <p>Larvae age</p>
http://lod.bco-dmo.org/id/dataset-parameter/659618.rdf
Name: target_pCO2
Units: microatmospheres (uatm)
Description: <p>Target pCO2</p>
http://lod.bco-dmo.org/id/dataset-parameter/659619.rdf
Name: jar
Units: unitless
Description: <p>Jar identifier</p>
http://lod.bco-dmo.org/id/dataset-parameter/659620.rdf
Name: headspace
Units: unitless
Description: <p>Headspace identifier</p>
http://lod.bco-dmo.org/id/dataset-parameter/659621.rdf
Name: food_level
Units: unitless
Description: <p>Food level (low, medium, high)</p>
http://lod.bco-dmo.org/id/dataset-parameter/659622.rdf
Name: tissue_mass
Units: micrograms per larva (ug/larva)
Description: <p>Tissue mass</p>
http://lod.bco-dmo.org/id/dataset-parameter/659623.rdf
Name: total_dry_weight
Units: micrograms per larva (ug/larva)
Description: <p>Total dry weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/659624.rdf
Name: shell_mass
Units: micrograms per larva (ug/larva)
Description: <p>Shell mass</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
3344
https://datadocs.bco-dmo.org/file/oAAmoR8UB8mvvl/food_larval_mass.csv
food_larval_mass.csv
Primary data file for dataset ID 659138
download
https://osprey.bco-dmo.org/dataset/659138/data/download
download
onLine
dataset
<p><strong>Detailed methodology and results are described in the following publication:</strong><br />
Hettinger, A., E. Sanford, T.M. Hill, J.D. Hosfelt, A.D. Russell, and B. Gaylord. 2013. The influence of food supply on the response of Olympia oyster larvae to ocean acidification. Biogeosciences 10: 6629-6638. doi:<a href="http://dx.doi.org/10.5194/bg-10-6629-2013" target="_blank">10.5194/bg-10-6629-2013</a></p>
<p><strong>Briefly (excerpted from above):</strong><br />
Adult Olympia oysters (n = 140) were collected from Tomales Bay, California (38 deg 06'58" N, 122 deg 51'16" W) in June 2011, transported to Bodega Marine Laboratory (BML) and distributed evenly among four 100 L culturing cylinders. A similar average size of adult oysters was maintained among cylinders. Every day, adults in each cylinder were fed microalgae (<em>Isochrysis galbana</em>) at a high concentration to encourage larval release. Seawater, filtered to 0.45 um and held at 18– 22 degrees C, was changed every other day. Adults released larvae in two of the four culturing cylinders after 72 h. Larvae were distributed by pipette to 4.5 L glass jars on day 1 of the experiment (n = 1000 larvae per jar). Each jar held 2 L of filtered seawater at the appropriate pCO2 level, resulting in initial rearing concentrations of 1 larva per 2 mL of seawater.</p>
<p>In subsequent experimental trials, the investigators employed a target elevated seawater pCO2 concentration of 1000 uatm (~7.76 pH). The target control seawater pCO2 concentration was 500 uatm (~8.05 pH). All seawater used during larval rearing was pre-adjusted, prior to addition of larvae, to the appropriate pCO2 concentrations in 20 L carboys by bubbling filtered seawater for 2–3 days with NIST-traceable CO2 air mixtures (carboy water). To minimize net CO2 exchange across the seawater surfaces in the jars and help maintain seawater pCO2 concentrations at target levels within the jars, the same CO2 gas mixtures used to maintain carboy water were pumped continuously into sealed air spaces above the free surfaces of the seawater in the culture jars (hereafter "headspaces"). Five replicate jars per pCO2 concentration shared a given headspace. Carboys and jars were held in seawater tables maintained at 20 degrees C (+/- 0.2 degrees C).</p>
<p>Every other day, 90% of the seawater in each jar (jar water) was removed using reverse-filtration through 125 um mesh and replaced with carboy water at the target pCO2 concentration. Immediately following each water change, microalgae (I. galbana) were added to each jar to generate final densities in each jar of: 100,000, 50,000, or 10,000 cells per mL (n = 2 pCO2 levels × 3 food levels × 5 replicate jars = 30 jars). The three food levels were the equivalent of initial daily algal cell to larva ratios of 50, 25, and 5 cells per larva per day.</p>
<p><em>Seawater chemistry:</em><br />
Jar water and carboy water were sampled for total alkalinity (TA) and dissolved inorganic carbon (DIC) every other day when a water change was performed. Seawater pH and temperature were measured using a potentiometric pH/temperature meter (Accumet Excel XL60). Raw pH readings (mV) were calibrated using two seawater buffers. pH was monitored primarily as a real-time indicator of changes in the carbonate system. Salinity was determined using a YSI Professional Plus Multiparameter instrument with a conductivity probe (YSI, Yellow Springs, OH). TA was measured using automated Gran titration with duplicates (Metrohm 809), and standardized using certified reference material (CRM) from A. Dickson. The offset between measured and certified TA values for Dickson CRM (Batches 104, 107, 111) was −0.01 (+/- 2.81) meq per kg (n = 91). Other carbonate system parameters were calculated using the carbonate system analysis software CO2SYS (Lewis andWallace, 1998).</p>
<p><em>Sampling of larval growth:</em><br />
On day 1, prior to their placement in the culture jars, larvae were collected haphazardly by pipette (n = 20), placed on a 125 um Nitex plankton filter, rinsed, and left to dry at room temperature for 24 h. Larvae were photographed individually under a dissecting microscope (Leica M125 with DC290 camera) for analysis using ImageJ software (ver. 1.37, National Institutes of Health) to determine the initial projected area of the shell. Larvae were sampled similarly on day 5, 9, and 11 post-larval release (n = 10 larvae per jar at each time point). Larval growth was estimated as the change in projected shell area since larval release (day 1).</p>
<p><em>Sampling of larval total dry weight:</em><br />
Total dry weight (body plus shell, ug) of the oysters was also determined on days 5, 9, and 11 post larval release. Larvae were collected haphazardly by pipette from each jar (n = 25), placed on a 125 um Nitex plankton filter, and rinsed. Total dry weights of larvae sampled were determined by transferring larvae individually to aluminum vessels pre-ashed at 500 degrees C for 3 h, drying the larval sample at 50 degrees C for &gt;24 h, and weighing on a microbalance (Sartorius Ultramicro, Goettingen, Germany). Larvae were dried in their vessels a second time, reweighed to verify their weights, and combusted at 460 degres C for 4 h in a muffle furnace (Thermo Scientific FB1415M) to remove all organic matter (see also Gaylord et al., 2011). Ash-free dry tissue weights were determined from the weight difference before and after combusting.</p>
<p><em>Sampling of percent metamorphosis:</em><br />
Settlement of larvae and metamorphosis into benthic juveniles was assessed daily starting on day 11, two days after larval transfers were made into the substrate jars. When &lt;5% of larvae remained swimming (used as the assay point for settlement) in each pCO2 treatment, the bases of each substrate jar were removed, and the proportion of metamorphosed individuals was determined by first subtracting dead and non-metamorphosed larvae (e.g., pediveligers) from the total initial number of larvae, then dividing by the total initial number of larvae (1000). Any metamorphosed individuals on the walls of the glass jars were also included in the proportion of metamorphosed individuals.</p>
Specified by the Principal Investigator(s)
<p><strong>BCO-DMO processing:</strong><br />
- modified parameter names to conform with BCO-DMO naming conventions;<br />
- replaced blanks (missing data) 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
DC290
DC290
PI Supplied Instrument Name: DC290 PI Supplied Instrument Description:Larvae were photographed individually under a dissecting microscope (Leica M125 with DC290 camera) for analysis using ImageJ software. Instrument Name: Camera Instrument Short Name:camera Instrument Description: All types of photographic equipment including stills, video, film and digital systems. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/311/
Leica M125
Leica M125
PI Supplied Instrument Name: Leica M125 PI Supplied Instrument Description:Larvae were photographed individually under a dissecting microscope (Leica M125 with DC290 camera) for analysis using ImageJ software. Instrument Name: Microscope - Optical Instrument Short Name: Instrument Description: Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of visible light. Includes conventional and inverted instruments. Also called a "light microscope". Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB05/
YSI Professional Plus Multiparameter instrument
YSI Professional Plus Multiparameter instrument
PI Supplied Instrument Name: YSI Professional Plus Multiparameter instrument PI Supplied Instrument Description:Salinity was determined using a YSI Professional Plus Multiparameter instrument with a conductivity probe (YSI, Yellow Springs, OH). Instrument Name: Multi Parameter Portable Meter Instrument Short Name: Instrument Description: An analytical instrument that can measure multiple parameters, such as pH, EC, TDS, DO and temperature with one device and is portable or hand-held.
Accumet Excel XL60
Accumet Excel XL60
PI Supplied Instrument Name: Accumet Excel XL60 PI Supplied Instrument Description:Seawater pH and temperature were measured using a potentiometric pH/temperature meter (Accumet Excel XL60). Instrument Name: pH Sensor Instrument Short Name:pH Sensor Instrument Description: An instrument that measures the hydrogen ion activity in solutions.
The overall concentration of hydrogen ions is inversely related to its pH. The pH scale ranges from 0 to 14 and indicates whether acidic (more H+) or basic (less H+).
Metrohm 809
Metrohm 809
PI Supplied Instrument Name: Metrohm 809 PI Supplied Instrument Description:TA was measured using automated Gran titration with duplicates (Metrohm 809) Instrument Name: Titrator Instrument Short Name:Titrator Instrument Description: Titrators are instruments that incrementally add quantified aliquots of a reagent to a sample until the end-point of a chemical reaction is reached. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB12/
Accumet Excel XL60
Accumet Excel XL60
PI Supplied Instrument Name: Accumet Excel XL60 PI Supplied Instrument Description:Seawater pH and temperature were measured using a potentiometric pH/temperature meter (Accumet Excel XL60). Instrument Name: Water Temperature Sensor Instrument Short Name:Water Temp Sensor Instrument Description: General term for an instrument that measures the temperature of the water with which it is in contact (thermometer). Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/134/
Deployment: BML_Gaylord
BML_Gaylord
lab Bodega Marine Laboratory
laboratory
BML_Gaylord
Brian Gaylord
University of California - Davis: Bodega Marine Laboratory
lab Bodega Marine Laboratory
laboratory