http://lod.bco-dmo.org/id/dataset/700974
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
2017-05-25
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Environmental and physical data associated with ocean acidification microbe adaptation from 2012-2014
2017-05-25
publication
2017-05-25
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-03-28
publication
https://doi.org/10.1575/1912/bco-dmo.700974.1
Zackary I. Johnson
Duke University
principalInvestigator
Dana Hunt
Duke 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: Johnson, Z., Hunt, D. (2017) Environmental and physical data associated with ocean acidification microbe adaptation from 2012-2014. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2017-05-25 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.700974.1 [access date]
Environmental and physical data associated with ocean acidification microbe adaptation. Dataset Description: <p>Environmental and physical data associated with ocean acidification microbe adaptation.</p>
<p>For related research, go to:&nbsp;<a href="http://oceanography.ml.duke.edu/johnson/research/pico/" target="_blank">http://oceanography.ml.duke.edu/johnson/research/pico/</a></p> Methods and Sampling: <p><strong>DIC:&nbsp;</strong>Water was sampled using a 5 L niskin bottle centered at 1 m with a bottle length of 0.7 m.&nbsp; DIC was measured on mercuric chloride poisoned samples by acidification and subsequent quantification of released CO2&nbsp;using a CO2&nbsp;detector (Li-Cor 7000). DIC samples were collected following recommended procedures {Dickson et al., 2007} and measurements were calibrated against Certified Reference Materials provided by Dr. A. G. Dickson at Scripps Institution of Oceanography (SIO), University of California, San Diego (UCSD). &nbsp;&nbsp;</p>
<p><strong>pH:&nbsp;</strong>Water was sampled using a 5 L niskin bottle centered at 1 m with a bottle length of 0.7 m.&nbsp; pH was measured spectrophotometrically {Clayton and Byrne, 1993} in triplicate at standard temperature (25°C) immediately following collection. pH samples were collected following recommended procedures {Dickson et al., 2007}.</p>
<p><strong>Secchi Depth:</strong> Secchi depth was measured in duplicate using a 20 cm disk with four alternating white and black quadrants (Cole Parmer #EW-05492-00) by lowering the disk until no longer visible and recording the depth.</p>
<p><strong>Salinity:</strong> Water was sampled using a 5 L niskin bottle centered at 1 m with a bottle length of 0.7 m.&nbsp; Salinity was measured using a calibrated handheld digital refractometer (Atago PAL-06S), using a refractometer (Vista A366ATC), or using a Guideline Portasal 8410A all according to manufacturer’s instructions and calibrated against known reference materials.&nbsp; In situ salinity at the same depth was measured using a YSI Pro30.</p>
<p><strong>Turbidity:&nbsp;</strong>Turbidity was measured in duplicate on discrete samples using a calibrated handheld turbidimeter (Orion AQ4500).</p>
<p><strong>Dissolved&nbsp;Oxygen:</strong> Oxygen was measured optically&nbsp;in situ&nbsp;and atmospheric pressure measured near the sea surface using a calibrated probe (YSI ProODO) using manufactures recommendations.</p>
<p><strong>Chlorophyll:</strong> Water was sampled using a 5 L niskin bottle centered at 1 m with a bottle length of 0.7 m. Methods described in Johnson et al. 2010: Chlorophyll concentrations were measured by filtering 25&nbsp; mL of seawater sample onto a 0.22 µm pore size polycarbonate filter using gentle vacuum (&lt;100 mm Hg) and extracting in 100% MeOH at -20°C in the dark for &gt;24 h following (Holm-Hansen and Riemann, 1978).&nbsp; Fluorescence was measured using a Turner Designs 10-AU fluorometer following (Welschmeyer, 1994) that was calibrated against a standard chlorophyll solution (Ritchie, 2008).</p>
<p><strong>Bacteria:&nbsp;</strong>Bacterioplankton (i.e. ‘bacteria’) were enumerated using a FACSCalibur flow cytometer (Becton Dickinson) and populations characterized as previously described (Johnson et al., 2010).&nbsp; Briefly, cells were excited with a 488 nm laser (15 mW Ar) and inelastic forward (&lt;15°) scatter, inelastic side (90°) scatter (SSC), green (530 ± 30 nm) fluorescence, orange fluorescence (585 ± 42 nm), and red fluorescence (&gt; 670 nm) emissions were measured.&nbsp; Bacterioplankton were quantified by staining the samples with the nucleic acid stain SYBR Green –I (Molecular Probes Inc.) (Marie et al., 1997).</p>
<p><strong>Nutrients:</strong> Water was filtered through a 0.22 µm Sterivex cartridge filter,&nbsp; Millipore #SVGPL10RC using a peristaltic pump input line at 1 m for later nutrient analysis (NO3, NO2, PO4, SiOH4)&nbsp; and water was placed into duplicate HCl-cleaned HDPE bottles (VWR#414004-110) and stored at -80°C until later analysis using an Astoria-Pacific A2 autoanalyzer following the manufacturer’s recommended protocols running each replicate sample in duplicate. &nbsp;</p>
<p>Certified reference materials were used to verify protocols (Inorganic Ventures: QCP-NT, QCP-NUT-1, CGSI1-1).&nbsp; The detection limit was NO2&nbsp;= 0.05 µM, NO3&nbsp;= 0.1 µM, PO4&nbsp;= 0.05 µM, SiOH4&nbsp;= 0.2 µM).&nbsp; Values measured below these limits are reported as zero.</p>
<p><strong>Temperature:&nbsp;</strong>Water was sampled using a 5 L niskin bottle centered at 1 m with a bottle length of 0.7 m. Temperature was measured in duplicate using NIST traceable thermocouples (VWR#23609-232).&nbsp; In situ water temperature at the same depth was measured using a YSI Pro30. &nbsp;</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1416665 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1416665
completed
Zackary I. Johnson
Duke University
1-252-504-7543
Marine Sciences and Conservation 135 Duke Marine Lab Rd.
Beaufort
NC
28516
USA
zij@duke.edu
pointOfContact
Dana Hunt
Duke University
1-252-504-7542
Marine Sciences and Conservation 135 Duke Marine Lab Rd.
Beaufort
NC
28516
United States
dana.hunt@duke.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
date
time
depth
bacteriaA
bacteriaB
BarometricPressureA
BarometricPressureB
ChlExtractA
ChlExtractB
DICA
DICB
DICC
NH4A
NH4B
NH4C
NO2A
NO2B
NO2C
NO3A
NO3B
NO3C
OxygenA
OxygenB
OxygenSaturationA
OxygenSaturationB
pHT25A
pHT25B
pHT25C
PICONumber
PO4A
PO4B
PO4C
QbacteriaA
QbacteriaB
QBarometricPressureA
QBarometricPressureB
QChlExtractA
QChlExtractB
QDepth
QDICA
QDICB
QDICC
QNH4A
QNH4B
QNH4C
QNO2A
QNO2B
QNO2C
QNO3A
QNO3B
QNO3C
QOxygenA
QOxygenB
QOxygenSaturationA
QOxygenSaturationB
QpHT25A
QpHT25B
QpHT25C
QPO4A
QPO4B
QPO4C
QSalinityAtagoA
QSalinityAtagoB
QSalinityPortasalA
QSalinityPortasalB
QSalinityPro30A
QSalinityPro30B
QSalinitySpyGlassA
QSalinitySpyGlassB
QSecchiDepthA
QSecchiDepthB
QSiOH4A
QSiOH4B
QSiOH4C
QTempBottleA
QTempBottleB
QTempPro30ProbeA
QTempPro30ProbeB
QTurbidityA
QTurbidityB
SalinityAtagoA
SalinityAtagoB
SalinityPortasalA
SalinityPortasalB
SalinityPro30A
SalinityPro30B
SalinitySpyGlassA
SalinitySpyGlassB
SecchiDepthA
SecchiDepthB
SiOH4A
SiOH4B
SiOH4C
TempBottleA
TempBottleB
TempPro30ProbeA
TempPro30ProbeB
TurbidityA
TurbidityB
ISO_DateTime_UTC
Niskin
10-AU Turner Designs Fluorometer
Astoria-Pacific A2 autoanalyzer
Spectrometer
Atago PAL-06S Digital Refractometer
YSI ProODO
Orion AQ4500
Peristaltic pump
Li-Cor 7000
HDPE bottle
NIST traceable thermocouples
theme
None, User defined
date
time of day
depth
bacterial abundance
water pressure
chlorophyll a
dissolved inorganic Carbon
Ammonium
Nitrite
Nitrate
dissolved Oxygen
O2 saturation
pH
sample identification
reactive phosphorus (PO4)
quality flag
salinity
depth_secchi
Silicate, Si(OH)4, silicic acid
water temperature
turbidity
ISO_DateTime_UTC
featureType
BCO-DMO Standard Parameters
Niskin bottle
Fluorometer
Nutrient Autoanalyzer
Spectrometer
Refractometer
Dissolved Oxygen Sensor
Turbidity Meter
Pump
CO2 Analyzer
Bottle
digital thermometer
instrument
BCO-DMO Standard Instruments
PICO_1-301
service
Deployment Activity
34.7181 deg N, 76.6707 deg W
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.
Science, Engineering and Education for Sustainability NSF-Wide Investment (SEES): Ocean Acidification (formerly CRI-OA)
https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503477
Science, Engineering and Education for Sustainability NSF-Wide Investment (SEES): Ocean Acidification (formerly CRI-OA)
NSF Climate Research Investment (CRI) activities that were initiated in 2010 are now included under Science, Engineering and Education for Sustainability NSF-Wide Investment (SEES). SEES is a portfolio of activities that highlights NSF's unique role in helping society address the challenge(s) of achieving sustainability. Detailed information about the SEES program is available from NSF (https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504707).
In recognition of the need for basic research concerning the nature, extent and impact of ocean acidification on oceanic environments in the past, present and future, the goal of the SEES: OA program is to understand (a) the chemistry and physical chemistry of ocean acidification; (b) how ocean acidification interacts with processes at the organismal level; and (c) how the earth system history informs our understanding of the effects of ocean acidification on the present day and future ocean.
Solicitations issued under this program:NSF 10-530, FY 2010-FY2011NSF 12-500, FY 2012NSF 12-600, FY 2013NSF 13-586, FY 2014
NSF 13-586 was the final solicitation that will be released for this program.
PI Meetings:1st U.S. Ocean Acidification PI Meeting(March 22-24, 2011, Woods Hole, MA)2nd U.S. Ocean Acidification PI Meeting(Sept. 18-20, 2013, Washington, DC)
3rd U.S. Ocean Acidification PI Meeting (June 9-11, 2015, Woods Hole, MA – Tentative)
NSF media releases for the Ocean Acidification Program:
Press Release 10-186 NSF Awards Grants to Study Effects of Ocean Acidification
Discovery Blue Mussels "Hang On" Along Rocky Shores: For How Long?
Discovery nsf.gov - National Science Foundation (NSF) Discoveries - Trouble in Paradise: Ocean Acidification This Way Comes - US National Science Foundation (NSF)
Press Release 12-179 nsf.gov - National Science Foundation (NSF) News - Ocean Acidification: Finding New Answers Through National Science Foundation Research Grants - US National Science Foundation (NSF)
Press Release 13-102 World Oceans Month Brings Mixed News for Oysters
Press Release 13-108 nsf.gov - National Science Foundation (NSF) News - Natural Underwater Springs Show How Coral Reefs Respond to Ocean Acidification - US National Science Foundation (NSF)
Press Release 13-148 Ocean acidification: Making new discoveries through National Science Foundation research grants
Press Release 13-148 - Video nsf.gov - News - Video - NSF Ocean Sciences Division Director David Conover answers questions about ocean acidification. - US National Science Foundation (NSF)
Press Release 14-010 nsf.gov - National Science Foundation (NSF) News - Palau's coral reefs surprisingly resistant to ocean acidification - US National Science Foundation (NSF)
Press Release 14-116 nsf.gov - National Science Foundation (NSF) News - Ocean Acidification: NSF awards $11.4 million in new grants to study effects on marine ecosystems - US National Science Foundation (NSF)
SEES-OA
largerWorkCitation
program
Pivers Island Coastal Observatory
http://oceanography.ml.duke.edu/johnson/research/pico/
Pivers Island Coastal Observatory
<p><em>From the </em><a href="http://oceanography.ml.duke.edu/johnson/research/pico/" target="_blank"><em>project website</em></a><em>:</em><br />
Carbon dioxide is rising at ~3% per year in the atmosphere and oceans leading to increases in dissolved inorganic carbon and a reduction in pH. This trend is expected to continue for the foreseeable future and ocean pH is predicted to decrease substantially making the ocean more acidic, potentially affecting the marine ecosystem. However, coastal estuaries are highly dynamic systems that often experience dramatic changes in environmental variables over short periods of times. In this study, the investigators are measuring key variables of the marine carbon system along with other potential forcing variables and characteristics of the ecosystem that may be affected by these pH changes. The goal of this project is to determine the time-scales and magnitude of natural variability that will be superimposed on any long term trends in ocean chemistry.</p>
<p>This project is associated with <a href="https://www.bco-dmo.org/project/535566" target="_blank">Ocean Acidification: microbes as sentinels of adaptive responses to multiple stressors: contrasting estuarine and open ocean environments.</a></p>
PICO
largerWorkCitation
project
Collaborative Research: Ocean Acidification: microbes as sentinels of adaptive responses to multiple stressors: contrasting estuarine and open ocean environments
https://www.bco-dmo.org/project/535566
Collaborative Research: Ocean Acidification: microbes as sentinels of adaptive responses to multiple stressors: contrasting estuarine and open ocean environments
<p><em>Extracted from the NSF award abstract:</em></p>
<p>This collaborative project by Duke University and Georgia Institute of Technology researchers will combine oceanographic and advanced molecular techniques to characterize the adaptive responses of microbial communities to multiple stressors associated with OA. In particular, microbial communities from estuarine and coastal ecosystems as well as open ocean waters will be incubated under conditions of increased acidity or temperature or both, and their activities will be measured and quantified. </p>
<p>
Preliminary data from time-series observations of a coastal temperate estuary shows that pH, temperature and other stressors vary over multiple space and time scales, and this variability is relatively higher than that observed in open ocean waters. Based on this evidence, the guiding hypothesis of this work is that microbes in coastal ecosystems are better adapted to ocean acidification as well as multiple stressors compared to similar microbes from the open ocean. To quantify the adaptive genetic, physiological and biogeochemical responses of microbes to OA, the team's specific goals are to: (1) characterize complex natural microbial community responses to multiple stressors using factorial mesocosm manipulations, (2) assemble a detailed view of genomic and physiological (including transcriptional) adaptations to OA at the single species level using cultured model marine microbes (e.g. Prochlorococcus, Synechococcus, Vibrio) identified as responsive to stressors in whole community mesocosm experiments, and (3) assess the power of model microbial strains and mesocosm experiments to predict microbial community responses to natural OA variability in a temporally dynamic, temperate estuary and along a trophic/pH gradient from the Neuse-Pamlico Sound to the Sargasso Sea. By comparing an estuarine ecosystem to its open ocean counterpart, this study will assess the sensitivity of microbial structure and function in response to ocean acidification.</p>
<p>This project is associated with <a href="https://www.bco-dmo.org/project/2281" target="_blank">Pivers Island Coastal Observatory</a>.</p>
OA microbe adaptation
largerWorkCitation
project
eng; USA
oceans
34.7181 deg N, 76.6707 deg W
-76.6707
-76.6707
34.7181
34.7181
2012-07-03
2014-12-31
From projects that focused on the following 2 locations: 1. 34.7181 deg N, 76.6707 deg W 2. Neuse-Pamlico Sound to the Sargasso Sea
0
BCO-DMO catalogue of parameters from Environmental and physical data associated with ocean acidification microbe adaptation from 2012-2014
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/701583.rdf
Name: date
Units: unitless
Description: Date of sampling; YYYY/MM/DD
http://lod.bco-dmo.org/id/dataset-parameter/701584.rdf
Name: time
Units: unitless
Description: Time of sampling; HH:MM
http://lod.bco-dmo.org/id/dataset-parameter/701585.rdf
Name: depth
Units: unitless
Description: Depth ID
http://lod.bco-dmo.org/id/dataset-parameter/701586.rdf
Name: bacteriaA
Units: cells per milliliter
Description: Concentration of bacteria; Sample A; Includes Archaea and Prochlorococcus
http://lod.bco-dmo.org/id/dataset-parameter/701587.rdf
Name: bacteriaB
Units: cells per milliliter
Description: Concentration of bacteria; Sample B; Includes Archaea and Prochlorococcus
http://lod.bco-dmo.org/id/dataset-parameter/701588.rdf
Name: BarometricPressureA
Units: hectopascals
Description: Atomospheric (barometric) pressure; Sample A
http://lod.bco-dmo.org/id/dataset-parameter/701589.rdf
Name: BarometricPressureB
Units: hectopascals
Description: Atomospheric (barometric) pressure; Sample B
http://lod.bco-dmo.org/id/dataset-parameter/701590.rdf
Name: ChlExtractA
Units: milligrams of chlorophyll a per meter cubed
Description: Extracted chlorophyll concentrations (greater than 0.22 um); Sample A
http://lod.bco-dmo.org/id/dataset-parameter/701591.rdf
Name: ChlExtractB
Units: milligrams of chlorophyll a per meter cubed
Description: Extracted chlorophyll concentrations (greater than 0.22 um); Sample B
http://lod.bco-dmo.org/id/dataset-parameter/701592.rdf
Name: DICA
Units: uM
Description: Dissolved inorganic carbon; Sample A
http://lod.bco-dmo.org/id/dataset-parameter/701593.rdf
Name: DICB
Units: uM
Description: Dissolved inorganic carbon; Sample B
http://lod.bco-dmo.org/id/dataset-parameter/701594.rdf
Name: DICC
Units: uM
Description: Dissolved inorganic carbon; Sample C
http://lod.bco-dmo.org/id/dataset-parameter/701595.rdf
Name: NH4A
Units: uM
Description: Inorganic nutrient concentration; Sample A
http://lod.bco-dmo.org/id/dataset-parameter/701596.rdf
Name: NH4B
Units: uM
Description: Inorganic nutrient concentration; Sample B
http://lod.bco-dmo.org/id/dataset-parameter/701597.rdf
Name: NH4C
Units: uM
Description: Inorganic nutrient concentration; Sample C
http://lod.bco-dmo.org/id/dataset-parameter/701598.rdf
Name: NO2A
Units: uM
Description: Inorganic nutrient concentration; Sample A
http://lod.bco-dmo.org/id/dataset-parameter/701599.rdf
Name: NO2B
Units: uM
Description: Inorganic nutrient concentration; Sample B
http://lod.bco-dmo.org/id/dataset-parameter/701600.rdf
Name: NO2C
Units: uM
Description: Inorganic nutrient concentration; Sample C
http://lod.bco-dmo.org/id/dataset-parameter/701601.rdf
Name: NO3A
Units: uM
Description: Inorganic nutrient concentration; Sample A
http://lod.bco-dmo.org/id/dataset-parameter/701602.rdf
Name: NO3B
Units: uM
Description: Inorganic nutrient concentration; Sample B
http://lod.bco-dmo.org/id/dataset-parameter/701603.rdf
Name: NO3C
Units: uM
Description: Inorganic nutrient concentration; Sample C
http://lod.bco-dmo.org/id/dataset-parameter/701604.rdf
Name: OxygenA
Units: uM
Description: Oxygen concentration; Sample A
http://lod.bco-dmo.org/id/dataset-parameter/701605.rdf
Name: OxygenB
Units: uM
Description: Oxygen concentration; Sample B
http://lod.bco-dmo.org/id/dataset-parameter/701606.rdf
Name: OxygenSaturationA
Units: milligrams of oxygen per liter
Description: Percent of theoretical saturation value for a given temperature salinity and pressure; Sample A
http://lod.bco-dmo.org/id/dataset-parameter/701607.rdf
Name: OxygenSaturationB
Units: milligrams of oxygen per liter
Description: Percent of theoretical saturation value for a given temperature salinity and pressure; Sample B
http://lod.bco-dmo.org/id/dataset-parameter/701608.rdf
Name: pHT25A
Units: pH
Description: pH measurement; Sample A
http://lod.bco-dmo.org/id/dataset-parameter/701609.rdf
Name: pHT25B
Units: pH
Description: pH measurement; Sample B
http://lod.bco-dmo.org/id/dataset-parameter/701610.rdf
Name: pHT25C
Units: pH
Description: pH measurement; Sample C
http://lod.bco-dmo.org/id/dataset-parameter/701611.rdf
Name: PICONumber
Units: unitless
Description: Sample number
http://lod.bco-dmo.org/id/dataset-parameter/701612.rdf
Name: PO4A
Units: uM
Description: Inorganic nutrient concentration; Sample A
http://lod.bco-dmo.org/id/dataset-parameter/701613.rdf
Name: PO4B
Units: uM
Description: Inorganic nutrient concentration; Sample B
http://lod.bco-dmo.org/id/dataset-parameter/701614.rdf
Name: PO4C
Units: uM
Description: Inorganic nutrient concentration; Sample C
http://lod.bco-dmo.org/id/dataset-parameter/701615.rdf
Name: QbacteriaA
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701616.rdf
Name: QbacteriaB
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701617.rdf
Name: QBarometricPressureA
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701618.rdf
Name: QBarometricPressureB
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701619.rdf
Name: QChlExtractA
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701620.rdf
Name: QChlExtractB
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701621.rdf
Name: QDepth
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701622.rdf
Name: QDICA
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701623.rdf
Name: QDICB
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701624.rdf
Name: QDICC
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701625.rdf
Name: QNH4A
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701626.rdf
Name: QNH4B
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701627.rdf
Name: QNH4C
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701628.rdf
Name: QNO2A
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701629.rdf
Name: QNO2B
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701630.rdf
Name: QNO2C
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701631.rdf
Name: QNO3A
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701632.rdf
Name: QNO3B
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701633.rdf
Name: QNO3C
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701634.rdf
Name: QOxygenA
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701635.rdf
Name: QOxygenB
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701636.rdf
Name: QOxygenSaturationA
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701637.rdf
Name: QOxygenSaturationB
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701638.rdf
Name: QpHT25A
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701639.rdf
Name: QpHT25B
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701640.rdf
Name: QpHT25C
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701641.rdf
Name: QPO4A
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701642.rdf
Name: QPO4B
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701643.rdf
Name: QPO4C
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701644.rdf
Name: QSalinityAtagoA
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701645.rdf
Name: QSalinityAtagoB
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701646.rdf
Name: QSalinityPortasalA
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701647.rdf
Name: QSalinityPortasalB
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701648.rdf
Name: QSalinityPro30A
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701649.rdf
Name: QSalinityPro30B
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701650.rdf
Name: QSalinitySpyGlassA
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701651.rdf
Name: QSalinitySpyGlassB
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701652.rdf
Name: QSecchiDepthA
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701653.rdf
Name: QSecchiDepthB
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701654.rdf
Name: QSiOH4A
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701655.rdf
Name: QSiOH4B
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701656.rdf
Name: QSiOH4C
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701657.rdf
Name: QTempBottleA
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701658.rdf
Name: QTempBottleB
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701659.rdf
Name: QTempPro30ProbeA
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701660.rdf
Name: QTempPro30ProbeB
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701661.rdf
Name: QTurbidityA
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701662.rdf
Name: QTurbidityB
Units: unitless
Description: Quality score: 1=excellent (no known issues); 2=suspect; 3=poor (known reason to suspect data)
http://lod.bco-dmo.org/id/dataset-parameter/701663.rdf
Name: SalinityAtagoA
Units: PSU
Description: Salinity measurement by instrument; Sample A
http://lod.bco-dmo.org/id/dataset-parameter/701664.rdf
Name: SalinityAtagoB
Units: PSU
Description: Salinity measurement by instrument; Sample B
http://lod.bco-dmo.org/id/dataset-parameter/701665.rdf
Name: SalinityPortasalA
Units: PSU
Description: Salinity measurement by instrument; Sample A
http://lod.bco-dmo.org/id/dataset-parameter/701666.rdf
Name: SalinityPortasalB
Units: PSU
Description: Salinity measurement by instrument; Sample B
http://lod.bco-dmo.org/id/dataset-parameter/701667.rdf
Name: SalinityPro30A
Units: PSU
Description: Salinity measurement by instrument; Sample A
http://lod.bco-dmo.org/id/dataset-parameter/701668.rdf
Name: SalinityPro30B
Units: PSU
Description: Salinity measurement by instrument; Sample B
http://lod.bco-dmo.org/id/dataset-parameter/701669.rdf
Name: SalinitySpyGlassA
Units: PSU
Description: Salinity measurement by instrument; Sample A
http://lod.bco-dmo.org/id/dataset-parameter/701670.rdf
Name: SalinitySpyGlassB
Units: PSU
Description: Salinity measurement by instrument; Sample B
http://lod.bco-dmo.org/id/dataset-parameter/701671.rdf
Name: SecchiDepthA
Units: meters
Description: Secchi depth; Sample A
http://lod.bco-dmo.org/id/dataset-parameter/701672.rdf
Name: SecchiDepthB
Units: meters
Description: Secchi depth; Sample B
http://lod.bco-dmo.org/id/dataset-parameter/701673.rdf
Name: SiOH4A
Units: uM
Description: Inorganic nutrient concentration; Sample A
http://lod.bco-dmo.org/id/dataset-parameter/701674.rdf
Name: SiOH4B
Units: uM
Description: Inorganic nutrient concentration; Sample B
http://lod.bco-dmo.org/id/dataset-parameter/701675.rdf
Name: SiOH4C
Units: uM
Description: Inorganic nutrient concentration; Sample C
http://lod.bco-dmo.org/id/dataset-parameter/701676.rdf
Name: TempBottleA
Units: Celsius
Description: Temperature; Sample A
http://lod.bco-dmo.org/id/dataset-parameter/701677.rdf
Name: TempBottleB
Units: Celsius
Description: Temperature; Sample B
http://lod.bco-dmo.org/id/dataset-parameter/701678.rdf
Name: TempPro30ProbeA
Units: Celsius
Description: Temperature from Pro 30 Probe; Sample A
http://lod.bco-dmo.org/id/dataset-parameter/701679.rdf
Name: TempPro30ProbeB
Units: Celsius
Description: Temperature from Pro 30 Probe; Sample B
http://lod.bco-dmo.org/id/dataset-parameter/701680.rdf
Name: TurbidityA
Units: Nephelometric turbidity units (NTU)
Description: Turbidity; Sample A
http://lod.bco-dmo.org/id/dataset-parameter/701681.rdf
Name: TurbidityB
Units: Nephelometric turbidity units (NTU)
Description: Turbidity; Sample B
http://lod.bco-dmo.org/id/dataset-parameter/701682.rdf
Name: ISO_DateTime_UTC
Units: unitless
Description: ISO_Date format
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
55474
https://darchive.mblwhoilibrary.org/bitstream/1912/23935/1/dataset-700974_oa-microbe-adaptation__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.700974.1
download
onLine
dataset
<p><strong>DIC:&nbsp;</strong>Water was sampled using a 5 L niskin bottle centered at 1 m with a bottle length of 0.7 m.&nbsp; DIC was measured on mercuric chloride poisoned samples by acidification and subsequent quantification of released CO2&nbsp;using a CO2&nbsp;detector (Li-Cor 7000). DIC samples were collected following recommended procedures {Dickson et al., 2007} and measurements were calibrated against Certified Reference Materials provided by Dr. A. G. Dickson at Scripps Institution of Oceanography (SIO), University of California, San Diego (UCSD). &nbsp;&nbsp;</p>
<p><strong>pH:&nbsp;</strong>Water was sampled using a 5 L niskin bottle centered at 1 m with a bottle length of 0.7 m.&nbsp; pH was measured spectrophotometrically {Clayton and Byrne, 1993} in triplicate at standard temperature (25°C) immediately following collection. pH samples were collected following recommended procedures {Dickson et al., 2007}.</p>
<p><strong>Secchi Depth:</strong> Secchi depth was measured in duplicate using a 20 cm disk with four alternating white and black quadrants (Cole Parmer #EW-05492-00) by lowering the disk until no longer visible and recording the depth.</p>
<p><strong>Salinity:</strong> Water was sampled using a 5 L niskin bottle centered at 1 m with a bottle length of 0.7 m.&nbsp; Salinity was measured using a calibrated handheld digital refractometer (Atago PAL-06S), using a refractometer (Vista A366ATC), or using a Guideline Portasal 8410A all according to manufacturer’s instructions and calibrated against known reference materials.&nbsp; In situ salinity at the same depth was measured using a YSI Pro30.</p>
<p><strong>Turbidity:&nbsp;</strong>Turbidity was measured in duplicate on discrete samples using a calibrated handheld turbidimeter (Orion AQ4500).</p>
<p><strong>Dissolved&nbsp;Oxygen:</strong> Oxygen was measured optically&nbsp;in situ&nbsp;and atmospheric pressure measured near the sea surface using a calibrated probe (YSI ProODO) using manufactures recommendations.</p>
<p><strong>Chlorophyll:</strong> Water was sampled using a 5 L niskin bottle centered at 1 m with a bottle length of 0.7 m. Methods described in Johnson et al. 2010: Chlorophyll concentrations were measured by filtering 25&nbsp; mL of seawater sample onto a 0.22 µm pore size polycarbonate filter using gentle vacuum (&lt;100 mm Hg) and extracting in 100% MeOH at -20°C in the dark for &gt;24 h following (Holm-Hansen and Riemann, 1978).&nbsp; Fluorescence was measured using a Turner Designs 10-AU fluorometer following (Welschmeyer, 1994) that was calibrated against a standard chlorophyll solution (Ritchie, 2008).</p>
<p><strong>Bacteria:&nbsp;</strong>Bacterioplankton (i.e. ‘bacteria’) were enumerated using a FACSCalibur flow cytometer (Becton Dickinson) and populations characterized as previously described (Johnson et al., 2010).&nbsp; Briefly, cells were excited with a 488 nm laser (15 mW Ar) and inelastic forward (&lt;15°) scatter, inelastic side (90°) scatter (SSC), green (530 ± 30 nm) fluorescence, orange fluorescence (585 ± 42 nm), and red fluorescence (&gt; 670 nm) emissions were measured.&nbsp; Bacterioplankton were quantified by staining the samples with the nucleic acid stain SYBR Green –I (Molecular Probes Inc.) (Marie et al., 1997).</p>
<p><strong>Nutrients:</strong> Water was filtered through a 0.22 µm Sterivex cartridge filter,&nbsp; Millipore #SVGPL10RC using a peristaltic pump input line at 1 m for later nutrient analysis (NO3, NO2, PO4, SiOH4)&nbsp; and water was placed into duplicate HCl-cleaned HDPE bottles (VWR#414004-110) and stored at -80°C until later analysis using an Astoria-Pacific A2 autoanalyzer following the manufacturer’s recommended protocols running each replicate sample in duplicate. &nbsp;</p>
<p>Certified reference materials were used to verify protocols (Inorganic Ventures: QCP-NT, QCP-NUT-1, CGSI1-1).&nbsp; The detection limit was NO2&nbsp;= 0.05 µM, NO3&nbsp;= 0.1 µM, PO4&nbsp;= 0.05 µM, SiOH4&nbsp;= 0.2 µM).&nbsp; Values measured below these limits are reported as zero.</p>
<p><strong>Temperature:&nbsp;</strong>Water was sampled using a 5 L niskin bottle centered at 1 m with a bottle length of 0.7 m. Temperature was measured in duplicate using NIST traceable thermocouples (VWR#23609-232).&nbsp; In situ water temperature at the same depth was measured using a YSI Pro30. &nbsp;</p>
Specified by the Principal Investigator(s)
<p>Quality Scores (Q) as follows: 1=excellent (no known issues), 2=suspect, 3=poor (known reason to suspect data)</p>
<p><strong>Nutrients:&nbsp;</strong>Samples that had a mean concentration (mean of replicated samples) below the nominal detection limit are reported as zero. &nbsp;</p>
<p><strong>Bacteria:&nbsp;</strong>Cells counts were normalized to volume sampled to determined cells per mL.</p>
<p><strong>Chlorophyll:</strong>&nbsp;&gt;0.22 um referred to as “total” or simply “chlorophyll”</p>
<p><strong>BCO-DMO Data Processing Notes:</strong></p>
<p>- replaced NaN with nd<br />
- added ISO DateTime column<br />
- separated date and time into two columns</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
Niskin
Niskin
PI Supplied Instrument Name: Niskin PI Supplied Instrument Description:Used to collect water samples Instrument Name: Niskin bottle Instrument Short Name:Niskin bottle Instrument Description: A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24, or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc. Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/
10-AU Turner Designs Fluorometer
10-AU Turner Designs Fluorometer
PI Supplied Instrument Name: 10-AU Turner Designs Fluorometer PI Supplied Instrument Description:Used to measure fluorescence Instrument Name: Fluorometer Instrument Short Name:Fluorometer Instrument Description: A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/113/
Astoria-Pacific A2 autoanalyzer
Astoria-Pacific A2 autoanalyzer
PI Supplied Instrument Name: Astoria-Pacific A2 autoanalyzer PI Supplied Instrument Description:Used in nutrient analysis Instrument Name: Nutrient Autoanalyzer Instrument Short Name:Nutrient Autoanalyzer Instrument Description: Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified. In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB04/
Spectrometer
Spectrometer
PI Supplied Instrument Name: Spectrometer PI Supplied Instrument Description:Used to sample pH Instrument Name: Spectrometer Instrument Short Name:Spectrometer Instrument Description: A spectrometer is an optical instrument used to measure properties of light over a specific portion of the electromagnetic spectrum. Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0460/
Atago PAL-06S Digital Refractometer
Atago PAL-06S Digital Refractometer
PI Supplied Instrument Name: Atago PAL-06S Digital Refractometer PI Supplied Instrument Description:Used to sample salinity Instrument Name: Refractometer Instrument Short Name:Refractometer Instrument Description: A refractometer is a laboratory or field device for the measurement of an index of refraction (refractometry). The index of refraction is calculated from Snell's law and can be calculated from the composition of the material using the Gladstone-Dale relation.
In optics the refractive index (or index of refraction) n of a substance (optical medium) is a dimensionless number that describes how light, or any other radiation, propagates through that medium.
YSI ProODO
YSI ProODO
PI Supplied Instrument Name: YSI ProODO PI Supplied Instrument Description:Used to measure dissolved oxygen Instrument Name: Dissolved Oxygen Sensor Instrument Short Name:Dissolved Oxygen Sensor Instrument Description: An electronic device that measures the proportion of oxygen (O2) in the gas or liquid being analyzed
Orion AQ4500
Orion AQ4500
PI Supplied Instrument Name: Orion AQ4500 PI Supplied Instrument Description:Used to analyze turbidity Instrument Name: Turbidity Meter Instrument Short Name:Turbidity Meter Instrument Description: A turbidity meter measures the clarity of a water sample. A beam of light is shown through a water sample. The turbidity, or its converse clarity, is read on a numerical scale. Turbidity determined by this technique is referred to as the nephelometric method from the root meaning "cloudiness". This word is used to form the name of the unit of turbidity, the NTU (Nephelometric Turbidity Unit). The meter reading cannot be used to compare the turbidity of different water samples unless the instrument is calibrated. Description from: http://www.gvsu.edu/wri/education/instructor-s-manual-turbidity-10.htm
(One example is the Orion AQ4500 Turbidimeter)
Peristaltic pump
Peristaltic pump
PI Supplied Instrument Name: Peristaltic pump PI Supplied Instrument Description:Used in nutrient analysis Instrument Name: Pump Instrument Short Name: Instrument Description: A pump is a device that moves fluids (liquids or gases), or sometimes slurries, by mechanical action. Pumps can be classified into three major groups according to the method they use to move the fluid: direct lift, displacement, and gravity pumps
Li-Cor 7000
Li-Cor 7000
PI Supplied Instrument Name: Li-Cor 7000 PI Supplied Instrument Description:Used to sample DIC Instrument Name: CO2 Analyzer Instrument Short Name:CO2 Analyzer Instrument Description: Measures atmospheric carbon dioxide (CO2) concentration. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/382/
HDPE bottle
HDPE bottle
PI Supplied Instrument Name: HDPE bottle PI Supplied Instrument Description:Used in nutrient analysis Instrument Name: Bottle Instrument Short Name:Bottle Instrument Description: A container, typically made of glass or plastic and with a narrow neck, used for storing drinks or other liquids.
NIST traceable thermocouples
NIST traceable thermocouples
PI Supplied Instrument Name: NIST traceable thermocouples PI Supplied Instrument Description:Used to measure temperature Instrument Name: digital thermometer Instrument Short Name: Instrument Description: An instrument that measures temperature digitally.
Deployment: PICO_1-301
PICO_1-301
Duke University Marine Lab
dock
PICO_1-301
Zackary I. Johnson
Duke University
Duke University Marine Lab
dock