http://lod.bco-dmo.org/id/dataset/953794
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
2025-02-18
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Gene expression data from mussels (Mytilus edulis) subjected to stable versus fluctuating temperatures from laboratory experiments conducted in 2023
2025-02-18
publication
2025-02-18
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2025-02-20
publication
https://doi.org/10.26008/1912/bco-dmo.953794.1
Michael T. Nishizaki
Carleton College
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: Nishizaki, M. T. (2025) Gene expression data from mussels (Mytilus edulis) subjected to stable versus fluctuating temperatures from laboratory experiments conducted in 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-02-18 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.953794.1 [access date]
Methods and Sampling: <p>Blue mussels (<em>Mytilus edulis </em>Linneaus, 1758) were collected from Black Point in Narragansett Bay, RI (41° 24′ 4.4964″ N, 71° 27′ 43.8228″ W) and transported in chilled coolers to the lab at Carleton College in Nothfield, MN, USA. Mussels were acclimated in recirculating seawater (Instant Ocean, Blacksburg, VA, USA) for 2-3 weeks at 14°C and fed commercial Shellfish Diet 1800 (Reed Mariculture, Campbell, CA, USA) at a rate of 5% dry mussel tissue weight day<sup>-1</sup>.<br />
<br />
72 adult mussels [initial shell length =&nbsp;60.11 ± 0.58&nbsp;mm (± SE)] were divided into four treatment groups and placed into glass aquaria (50 × 25 × 31 cm) filled with 10 L of artificial seawater. Tanks were aerated and temperatures maintained using submersible heating elements (Biotherm 1000 W Titanium Heating Element, Blueline Aquatics, San Antonio, TX, USA).&nbsp;Temperature loggers (HOBO Pro v2; Onset Computer Corporation, Pocasset, MA;&nbsp;&nbsp;temperature sensor precision = 0.01°C.&nbsp;) measured water temperature in each tank every 10 s.&nbsp;Thermal conditions included three stable temperature treatments (14.96 ± 0.14°C, 20.51 ± 0.49°C and, 24.99 ± 0.62°C; mean ± standard deviation) and one fluctuating temperature treatment alternating between 15°C and 25°C every 6 hours&nbsp;(20.15 ± 4.67°C).&nbsp;All mussels were fed commercial Shellfish Diet 1800 (Reed Mariculture, Campbell, CA, USA)&nbsp;at a rate of 5% dry mussel tissue weight. day<sup>-1</sup>.<br />
<br />
For each of the four temperature treatments, three replicate mussels were sampled on six consecutive days to extract RNA from gill lamellae tissue (20 mg). Gene expression was halted immediately by immersing each mussel in liquid nitrogen. Tissue was manually homogenized using needle syringes (19 gauge; Becton Dickinson, Franklin Lakes, NJ) and RNA was extracted using Monarch® Total RNA Miniprep Kits according to the manufacturer’s protocol (New England Biolabs, Ipswich, MA). After RNA extraction, each sample concentration, integrity, and quality were assessed using both a Qubit 4 Fluorometer using Qubit™ RNA Broad Range Assay Kits and Qubit™ RNA IQ Assay Kits (Thermo Scientific, Wilmington, DE, USA) and a Nanodrop One UV-Vis spectrophotometer (Thermo Scientific, Wilmington, DE, USA).&nbsp;&nbsp;<br />
<br />
Primers for heat-shock protein 70 (hsp70), NADH-ubiquinone oxidoreductase (NADH), and elongation factor 1 alpha (ELF-a)&nbsp;genes were derived from previous sequences reported&nbsp;for&nbsp;<em>Mytilus edulis</em>&nbsp;(sequence information provided below).&nbsp;Forward and reverse primers were designed using Primer3web (v4.1.0) and synthesized by Integrated DNA Technologies (Coralville, IA, USA).&nbsp;We quantified gene expression via one-step quantitative reverse transcription (Luna Universal One-Step RT-qPCR Kit, New England Biolabs, Ipswich, MA) using a QuantStudio 5 qPCR machine (Thermo Scientific, Wilmington, DE, USA). The PCR thermal program consisted of initial denaturation (95°C, 1 minute) followed by 40 cycles of denaturation (95°C, 10 seconds) and extension (60°C, 30 seconds). A melt curve was run to confirm that the products were indeed a single amplicon. For each biological replicate (e.g., each of the 69 mussels sampled), 3 technical replicates were run.&nbsp;C<sub>q</sub>&nbsp;values for technical replicates were within&nbsp;0.5 cycles&nbsp;(Nolan et al., 2006). Expression levels were standardized to&nbsp;elf-a&nbsp;reference gene expression.&nbsp;Amplification data was used to estimate relative expression (RQ = 2-∆∆CT). For every temperature treatment, differences in relative gene expression were analyzed between each day compared to day 1 with unpaired Student’s t-tests. Analyses were conducted using MATLAB R2024a (MathWorks, Natick, MA, USA).<br />
<br />
<strong>Species&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Target&nbsp; &nbsp; Forward primer (5'-3')&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Reverse&nbsp;</strong>primer (5'-3')<strong>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; size (bp)&nbsp; &nbsp; &nbsp; Genbank_Accession #</strong></p>
<p><em>Mytilus edulis</em>&nbsp; HSP70&nbsp; AGA CAC AGG GCG TAC AAG AA&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; ATG CTG CCA AGA ACC AAG TG&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;259&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;HBDQ01298109.1 (BioProject: PRJEB41447)</p>
<p><em>Mytilus edulis</em>&nbsp; ELF-a&nbsp; &nbsp; CAG GAG ACA ATG TTG GTT TCA A&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;AAA TTC ATC AAA TCT GGG GAT G&nbsp;&nbsp;&nbsp;&nbsp; 328&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;AY580270.1<br />
<br />
Organism identifiers:</p>
<p>Taxonomic name used in metadata, common name, Life Science Identifier (LSID)&nbsp;<br />
"Mytilus edulis ( Linneaus, 1758)", blue mussel, urn:lsid:marinespecies.org:taxname:140480</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2050129 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2050129
completed
Michael T. Nishizaki
Carleton College
507-222-4413
Biology Department One N. College Street
Northfield
MN
55057
United States
mikenish@carleton.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Species
date_local
Day
Temperature
QUBIT_QUANT
QUBIT_QUAL
NANO_QUANT
A260_to_280
delta_delta_Ct
Qubit 4 Fluorometer (Thermo Fisher Scientific, Wilmington, DE, USA)
QuantStudio 5 qPCR machine (Thermo Scientific, Wilmington, DE, USA)
HOBO Tidbit MX2203 (Onset Computer Corporation, Bourne, MA)
HOBO Tidbit MX2203 loggers (Onset Computer Corporation, Bourne, MA)
Nanodrop One UV-Vis spectrophotometer (Thermo Scientific, Wilmington, DE, USA)
theme
None, User defined
taxon
date_local
time_elapsed
treatment
No BCO-DMO term
featureType
BCO-DMO Standard Parameters
Fluorometer
Immersion heater
qPCR Thermal Cycler
Temperature Logger
Temperature Logger
Thermo Scientific NanoDrop spectrophotometer
instrument
BCO-DMO Standard Instruments
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.
Collaborative Research: Microscale interactions of foundation species with their fluid environment: biological feedbacks alter ecological interactions of mussels
https://osprey.bco-dmo.org/project/872978
Collaborative Research: Microscale interactions of foundation species with their fluid environment: biological feedbacks alter ecological interactions of mussels
<p><em>NSF Award Abstract:</em><br />
The project investigates how the metabolic activity of dense aggregations of marine organisms alter the water chemistry of their interstitial spaces, and how these microscale alterations feedback to affect the organisms’ interactions in coastal ecosystems. The research team focuses on bivalve mussels, foundation species that form dense ‘beds’ typically known for facilitating other species by ameliorating harsh flow conditions. This ability can become a liability, however, if flow is not sufficient to flush the interstitial spaces and steep, metabolically-driven concentration gradients develop. The research evaluates whether corrosive chemical microclimates (such as low oxygen or low pH) are most extreme in low flow, high temperature conditions, especially for dense aggregations of mussels with large biomass and/or high respiration rates, and if they negatively impact mussel beds and the diverse biological communities they support. The research addresses a global societal concern, the impact of anthropogenic climate change on coastal marine ecosystems, and has potential applications to aquaculture and biofouling industries by informing adaptation strategies to “future-proof” mussel farms in the face of climate change and improved antifouling practices for ships, moorings, and industrial cooling systems. The project forges new collaborations with investigators from three campuses and integrates research and education through interdisciplinary training of a diverse group of graduate, undergraduate and high school students. STEM education and environmental stewardship is promoted by the development of a K-12 level science curriculum module and a hand’s-on public exhibit of bivalve biology at a local shellfish farm. Research findings are disseminated in a variety of forums, including peer-reviewed scientific publications and research presentations at regional, national and international meetings.</p>
<p>The research team develops a framework that links environmental conditions measured at a coarse scale (100m-100km; e.g., most environmental observatories) and ecological processes at the organismal scale (1 cm – 10 m). Specifically, the project investigates how aggregations of foundation species impact flow through interstitial spaces, and how this ultimately impacts water chemistry immediately adjacent to the organisms. The research focuses on mytilid mussels, with the expectation that the aggregation alters the flow and chemical transport in two ways, one by creating a physical resistance, which reduces the exchange, and the other by enhancing the exchange due to their incurrent/excurrent pumping. These metabolically-driven feedbacks are expected to be strongest in densely packed, high biomass aggregations and under certain ambient environmental conditions, namely low flow and elevated temperature, and can lead to a range of negative ecological impacts that could not be predicted directly from coarse scale measures of ambient seawater chemistry or temperature. The team develops computational fluid dynamic (CFD) models to predict interstitial flows and concentration gradients of dissolved oxygen and pH within mussel beds. The CFD model incorporates mussel behavior and physiological activity (filtration, gaping, respiration) based on published values as well as new empirical work. Model predictions are compared to flow and concentration gradients measured in mussel aggregations in the laboratory and field. Finally, the team conducts several short-term experiments to quantify some of the potential negative ecological impacts of corrosive interstitial water chemistry on mussel aggregations, such as reduced growth, increased dislodgement, increased predation risk, and reduced biodiversity. Because the model is based on fluid dynamic principles and functional traits, the framework is readily adaptable to other species that form dense assemblages, thereby providing a useful tool for predicting the ability of foundation species to persist and provide desirable ecosystem services under current and future multidimensional climate scenarios.</p>
<p>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.</p>
Microscale Mussels
largerWorkCitation
project
eng; USA
oceans
-71.462173
-71.462173
41.401249
41.401249
2023-02-01
2023-04-30
University of Washington Friday Harbor Laboratories
0
BCO-DMO catalogue of parameters from Gene expression data from mussels (Mytilus edulis) subjected to stable versus fluctuating temperatures from laboratory experiments conducted in 2023
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/953823.rdf
Name: Species
Units: unitless
Description: <p>Scientific name of mussel species tested (Genus species). "Mytilus edulis" = " Mytilus edulis ( Linneaus, 1758)", blue mussels, urn:lsid:marinespecies.org:taxname:140480</p>
http://lod.bco-dmo.org/id/dataset-parameter/953824.rdf
Name: date_local
Units: unitless
Description: <p>date of sampling (ISO 8601, local time zone)</p>
http://lod.bco-dmo.org/id/dataset-parameter/953825.rdf
Name: Day
Units: unitless
Description: <p>day of experiment</p>
http://lod.bco-dmo.org/id/dataset-parameter/953826.rdf
Name: Temperature
Units: unitless
Description: <p>target water temperature used in experiment (integer or range provided).</p>
http://lod.bco-dmo.org/id/dataset-parameter/953827.rdf
Name: QUBIT_QUANT
Units: nanograms per microliter (ng/uL)
Description: <p>RNA concentration in measured via fluorometry (Qubit)</p>
http://lod.bco-dmo.org/id/dataset-parameter/953828.rdf
Name: QUBIT_QUAL
Units: unitless
Description: <p>RNA integrity and quality number ( IQ) represents the percentage of large (e.g., >100 bp) to small RNA molecules in the sample (Qubit). Reported on a scale of 1–10, with 1 denoting a significantly degraded sample and 10 representing high-quality.</p>
http://lod.bco-dmo.org/id/dataset-parameter/953829.rdf
Name: NANO_QUANT
Units: nanograms per microliter (ng/uL)
Description: <p>RNA concentration measured by the UV-Vis spectrophotometry (Nanodrop).</p>
http://lod.bco-dmo.org/id/dataset-parameter/953830.rdf
Name: A260_to_280
Units: unitless
Description: <p>A260/280. Measure of RNA purity reporting the ratio of absorbance at 260 nm versus 280 nm (Nanodrop).</p>
http://lod.bco-dmo.org/id/dataset-parameter/953831.rdf
Name: delta_delta_Ct
Units: unitless
Description: <p>Measure of differences (e.g., fold change) in gene expression. See "Methods & Sampling" section for more details.</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
4502
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/73cbb695-4d03-4900-b5fb-9056f8b4b606/content
download
https://doi.org/10.26008/1912/bco-dmo.953794.1
download
onLine
dataset
<p>Blue mussels (<em>Mytilus edulis </em>Linneaus, 1758) were collected from Black Point in Narragansett Bay, RI (41° 24′ 4.4964″ N, 71° 27′ 43.8228″ W) and transported in chilled coolers to the lab at Carleton College in Nothfield, MN, USA. Mussels were acclimated in recirculating seawater (Instant Ocean, Blacksburg, VA, USA) for 2-3 weeks at 14°C and fed commercial Shellfish Diet 1800 (Reed Mariculture, Campbell, CA, USA) at a rate of 5% dry mussel tissue weight day<sup>-1</sup>.<br />
<br />
72 adult mussels [initial shell length =&nbsp;60.11 ± 0.58&nbsp;mm (± SE)] were divided into four treatment groups and placed into glass aquaria (50 × 25 × 31 cm) filled with 10 L of artificial seawater. Tanks were aerated and temperatures maintained using submersible heating elements (Biotherm 1000 W Titanium Heating Element, Blueline Aquatics, San Antonio, TX, USA).&nbsp;Temperature loggers (HOBO Pro v2; Onset Computer Corporation, Pocasset, MA;&nbsp;&nbsp;temperature sensor precision = 0.01°C.&nbsp;) measured water temperature in each tank every 10 s.&nbsp;Thermal conditions included three stable temperature treatments (14.96 ± 0.14°C, 20.51 ± 0.49°C and, 24.99 ± 0.62°C; mean ± standard deviation) and one fluctuating temperature treatment alternating between 15°C and 25°C every 6 hours&nbsp;(20.15 ± 4.67°C).&nbsp;All mussels were fed commercial Shellfish Diet 1800 (Reed Mariculture, Campbell, CA, USA)&nbsp;at a rate of 5% dry mussel tissue weight. day<sup>-1</sup>.<br />
<br />
For each of the four temperature treatments, three replicate mussels were sampled on six consecutive days to extract RNA from gill lamellae tissue (20 mg). Gene expression was halted immediately by immersing each mussel in liquid nitrogen. Tissue was manually homogenized using needle syringes (19 gauge; Becton Dickinson, Franklin Lakes, NJ) and RNA was extracted using Monarch® Total RNA Miniprep Kits according to the manufacturer’s protocol (New England Biolabs, Ipswich, MA). After RNA extraction, each sample concentration, integrity, and quality were assessed using both a Qubit 4 Fluorometer using Qubit™ RNA Broad Range Assay Kits and Qubit™ RNA IQ Assay Kits (Thermo Scientific, Wilmington, DE, USA) and a Nanodrop One UV-Vis spectrophotometer (Thermo Scientific, Wilmington, DE, USA).&nbsp;&nbsp;<br />
<br />
Primers for heat-shock protein 70 (hsp70), NADH-ubiquinone oxidoreductase (NADH), and elongation factor 1 alpha (ELF-a)&nbsp;genes were derived from previous sequences reported&nbsp;for&nbsp;<em>Mytilus edulis</em>&nbsp;(sequence information provided below).&nbsp;Forward and reverse primers were designed using Primer3web (v4.1.0) and synthesized by Integrated DNA Technologies (Coralville, IA, USA).&nbsp;We quantified gene expression via one-step quantitative reverse transcription (Luna Universal One-Step RT-qPCR Kit, New England Biolabs, Ipswich, MA) using a QuantStudio 5 qPCR machine (Thermo Scientific, Wilmington, DE, USA). The PCR thermal program consisted of initial denaturation (95°C, 1 minute) followed by 40 cycles of denaturation (95°C, 10 seconds) and extension (60°C, 30 seconds). A melt curve was run to confirm that the products were indeed a single amplicon. For each biological replicate (e.g., each of the 69 mussels sampled), 3 technical replicates were run.&nbsp;C<sub>q</sub>&nbsp;values for technical replicates were within&nbsp;0.5 cycles&nbsp;(Nolan et al., 2006). Expression levels were standardized to&nbsp;elf-a&nbsp;reference gene expression.&nbsp;Amplification data was used to estimate relative expression (RQ = 2-∆∆CT). For every temperature treatment, differences in relative gene expression were analyzed between each day compared to day 1 with unpaired Student’s t-tests. Analyses were conducted using MATLAB R2024a (MathWorks, Natick, MA, USA).<br />
<br />
<strong>Species&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Target&nbsp; &nbsp; Forward primer (5'-3')&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Reverse&nbsp;</strong>primer (5'-3')<strong>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; size (bp)&nbsp; &nbsp; &nbsp; Genbank_Accession #</strong></p>
<p><em>Mytilus edulis</em>&nbsp; HSP70&nbsp; AGA CAC AGG GCG TAC AAG AA&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; ATG CTG CCA AGA ACC AAG TG&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;259&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;HBDQ01298109.1 (BioProject: PRJEB41447)</p>
<p><em>Mytilus edulis</em>&nbsp; ELF-a&nbsp; &nbsp; CAG GAG ACA ATG TTG GTT TCA A&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;AAA TTC ATC AAA TCT GGG GAT G&nbsp;&nbsp;&nbsp;&nbsp; 328&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;AY580270.1<br />
<br />
Organism identifiers:</p>
<p>Taxonomic name used in metadata, common name, Life Science Identifier (LSID)&nbsp;<br />
"Mytilus edulis ( Linneaus, 1758)", blue mussel, urn:lsid:marinespecies.org:taxname:140480</p>
Specified by the Principal Investigator(s)
<p>Expression levels were standardized to a housekeeper gene, elf-a. Amplification data were used to estimate relative expression between temperature treatments. For every temperature treatment, differences in relative gene expression were analyzed between each day compared to day 1 and reported as Relative Quantification (RQ) = 2-∆∆CT. &nbsp;Analyses were conducted using the Relative Quantification app on the ThermoConnect platform (https://www.thermofisher.com/us/en/home/digital-science/thermo-fisher-connect.html).</p>
Specified by the Principal Investigator(s)
* Data table within submitted file "Mytilus_edulis_hsp70.csv" was imported into the BCO-DMO data system for this dataset. Values "nd" imported as missing data values. Table will appear as Data File: 953794_v1_mussel-hsp70.csv (along with other download format options).
Missing Data Identifiers:
* In the BCO-DMO data system missing data identifiers are displayed according to the format of data you access. For example, in csv files it will be blank (null) values. In Matlab .mat files it will be NaN values. When viewing data online at BCO-DMO, the missing value will be shown as blank (null) values.
* Column names adjusted to conform to BCO-DMO naming conventions designed to support broad re-use by a variety of research tools and scripting languages. [Only numbers, letters, and underscores. Can not start with a number]
* Date converted to ISO 8601 format
* LSIDs added for taxonomic names used in the metadata using the world register of marine species on 2025-02-18. Exact match to name used.
* Geospaital bounds added for organism source location in RI as indicated was the relevant location for this dataset. "Lab experiment at Carleton College in Northfild, MN conducted with organisms collected at Black Point in Narragansett Bay, RI "
41° 24′ 4.4964″ N, 71° 27′ 43.8228″ W converted to decimal degrees for entry: 41.401249,-71.462173
Specified by BCO-DMO Data Managers
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
Qubit 4 Fluorometer (Thermo Fisher Scientific, Wilmington, DE, USA)
Qubit 4 Fluorometer (Thermo Fisher Scientific, Wilmington, DE, USA)
PI Supplied Instrument Name: Qubit 4 Fluorometer (Thermo Fisher Scientific, Wilmington, DE, USA) 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/
PI Supplied Instrument Name: PI Supplied Instrument Description:submersible heating elements (Biotherm 1000 W Titanium Heating Element, Blueline Aquatics, San Antonio, TX, USA) Instrument Name: Immersion heater Instrument Short Name:Immersion heater Instrument Description: Submersible heating element for water tanks and aquaria.
QuantStudio 5 qPCR machine (Thermo Scientific, Wilmington, DE, USA)
QuantStudio 5 qPCR machine (Thermo Scientific, Wilmington, DE, USA)
PI Supplied Instrument Name: QuantStudio 5 qPCR machine (Thermo Scientific, Wilmington, DE, USA) Instrument Name: qPCR Thermal Cycler Instrument Short Name:qPCR Instrument Description: An instrument for quantitative polymerase chain reaction (qPCR), also known as real-time polymerase chain reaction (Real-Time PCR).
HOBO Tidbit MX2203 (Onset Computer Corporation, Bourne, MA)
HOBO Tidbit MX2203 (Onset Computer Corporation, Bourne, MA)
PI Supplied Instrument Name: HOBO Tidbit MX2203 (Onset Computer Corporation, Bourne, MA) Instrument Name: Temperature Logger Instrument Short Name: Instrument Description: Records temperature data over a period of time.
HOBO Tidbit MX2203 loggers (Onset Computer Corporation, Bourne, MA)
HOBO Tidbit MX2203 loggers (Onset Computer Corporation, Bourne, MA)
PI Supplied Instrument Name: HOBO Tidbit MX2203 loggers (Onset Computer Corporation, Bourne, MA) Instrument Name: Temperature Logger Instrument Short Name: Instrument Description: Records temperature data over a period of time.
Nanodrop One UV-Vis spectrophotometer (Thermo Scientific, Wilmington, DE, USA)
Nanodrop One UV-Vis spectrophotometer (Thermo Scientific, Wilmington, DE, USA)
PI Supplied Instrument Name: Nanodrop One UV-Vis spectrophotometer (Thermo Scientific, Wilmington, DE, USA) Instrument Name: Thermo Scientific NanoDrop spectrophotometer Instrument Short Name:NanoDrop spectrophotometer Instrument Description: Thermo Scientific NanoDrop spectrophotometers provide microvolume quantification and purity assessments of DNA, RNA, and protein samples. NanoDrop spectrophotometers work on the principle of ultraviolet-visible spectrum (UV-Vis) absorbance. The range consists of the NanoDrop One/OneC UV-Vis Spectrophotometers, NanoDrop Eight UV-Vis Spectrophotometer and NanoDrop Lite Plus UV Spectrophotometer.