http://lod.bco-dmo.org/id/dataset/920878
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
2024-03-04
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Polyphosphate and associated measurements from water and particulate samples collected from 13 locations in the Great Lakes in July-Aug 2018 on R/V Blue Heron cruise BH18-09
2024-03-17
publication
2024-03-17
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2024-03-16
publication
https://doi.org/10.26008/1912/bco-dmo.920878.1
Ted Ozersky
University of Minnesota Duluth
principalInvestigator
Sergei Katsev
University of Minnesota Duluth
principalInvestigator
Jiying Li
The Hong Kong University of Science and Technology
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: Li, J., Yang, X., Katsev, S., Ozersky, T., Huff, A., Gao, R. (2024) Polyphosphate and associated measurements from water and particulate samples collected from 13 locations in the Great Lakes in July-Aug 2018 on R/V Blue Heron cruise BH18-09. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-03-04 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.920878.1 [access date]
Polyphosphate in the Great Lakes (USA) Dataset Description: Methods and Sampling: <p>Water samples were collected using Rosette Niskin bottles attached to a Seabird 911plus conductivity-temperature-depth probe (CTD), which also profiled temperature, oxygen, light transmission, and chlorophyll (Chl-a) concentrations. Suspended particles in the water were collected by filtering water through various sizes of filters (0.2 μm and 2.0 μm polycarbonate membrane filters and 0.7 um GF/F). Particulate carbon and nitrogen (PC and PN) were analyzed by using an Elemental Analyzer on the particles collected on the 0.7&nbsp;μm GFF that have been pre-combusted at 550°C for 6 hours. Particulate phosphorus (PP) was quantified using the persulfate digestion and molybdenum blue method (Suzumura 2008, Grasshoff et al. 1999). Soluble reactive P (SRP) in the water column was also measured using the molybdenum blue method (Grasshoff et al. 1999).</p>
<p>Chl-a was extracted from the 0.2 μm filters using 90% acetone for 12 hours at 4°C in the dark after homogenization and sonication, and determined for Chl-a fluorometrically at an excitation wavelength of 430 nm and an emission wavelength of 663 nm (APHA 1998).&nbsp; Alkaline phosphatase activity (APase) was determined using a fluorogenic substrate 3-O-methylfluorescein phosphate (MUF-P) (Martin et al. 2018). PolyP in the particles was extracted using an enzyme digestion and boiling method for marine plankton (Martin and Van&nbsp;Mooy 2013). Extracted PolyP was stained using 4’,6-diamidino-2-phenylindole (DAPI) and fluorometrically quantified (Aschar-Sobbi et al. 2008; Diaz et al. 2010). We also used a polyP-specific dye JC-D7 (InvivoChem, USA, # V22869, 87% purity) to quantify polyP (Angelova et al. 2014): the polyP extracts were stained using JC-D7 (25&nbsp;μmol L-1) dissolved in 5% DMSO buffered with HEPES solution (pH = 7.4, 25 mmol L-1), and quantified for polyP concentrations by measuring fluorescence intensity at an excitation wavelength of 405 nm and an emission wavelength of 535 nm.&nbsp;The colorimetric and fluorescence measurements were conducted using a BioTek microplate reader.</p>
<p>PolyP data from other aquatic ecosystems (lakes and oceans) reported in the literature are also included in the dataset for comparison (Diaz et al. 2016, Hashihama et al. 2020, Li et al. 2019, Martin et al. 2014, Martin et al. 2018). The literature data were obtained by digitizing the figures in the original papers and can only be considered approximations (except for Li et al. 2019, for which the original values are reported).</p>
<p>The data for phytoplankton abundance&nbsp;were originally reported in the Great Lakes Environmental Database (GLENDA) by the US Environmental Protection Agency Great Lakes National Program Office (EPA GLNPO;&nbsp;<a href="https://cdx.epa.gov/">https://cdx.epa.gov/</a>; Barbiero et al. 2018). In the GLENDA dataset, phytoplankton were identified to species or the lowest practical taxonomic level, counted, and estimated for biovolume (µm³ mL-1) for each identified species using the Utermöhl technique and the EPA Standard Operating Procedure for Phytoplankton Analysis (LG401). We extracted data from stations near our sites and only analyzed the data collected in the summer (August) for the past five years (2014-2019). Biovolume and biovolume per individual cell were averaged for each species identified. The GLENDA phytoplankton data were collected as part of a grant to Euan Reavie from the U.S. Environmental Protection Agency under Cooperative Agreements GL-00E23101 and GL-00E0198. Our data treatment and this document have not been subjected to the EPA’s required peer and policy review and do not reflect the view of the Agency, so no official endorsement should be inferred.&nbsp;</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1737368 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1737368
Funding provided by Research Grant Council of the Hong Kong Special Administrative Region, China (RGC) Award Number: 26305621
completed
Ted Ozersky
University of Minnesota Duluth
2187267492
2205 E. 5th St.
DULUTH
MN
558123024
US
tozersky@d.umn.edu
pointOfContact
Sergei Katsev
University of Minnesota Duluth
218 726 6057
376 Marshall W. Alworth Hall
Duluth
MN
USA
skatsev@d.umn.edu
pointOfContact
Jiying Li
The Hong Kong University of Science and Technology
jiyingli@ust.hk
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Site_ID
Latitude
Longitude
Date
GLENDA_site
Total_Depth
Sample_Depth
APase
SRP
Chl_a
Filter_size
PP
PolyP_DAPI
PolyP_JCD7
PC
PN
ratio_PolyP_to_PP_JCD7
ratio_PolyP_to_PP_DAPI
Reference
Region
Seabird 911plus conductivity-temperature-depth probe
CHNS Elemental Analyzer (Vario EL Cube, Elementar)
Rosette Niskin bottles
FlexStation 3 Multi-mode Microplate Reader, BioTek
theme
None, User defined
site
latitude
longitude
date
depth
alkaline phosphatase
SRP
chlorophyll a
filter_size
Total Particulate Phosphorus
polyphosphate
total particulate Carbon
Total Particulate Nitrogen
ratio
reference_paper
region
featureType
BCO-DMO Standard Parameters
CTD Sea-Bird SBE 911plus
Elementar Vario EL Cube elemental analyzer
Niskin bottle
plate reader
instrument
BCO-DMO Standard Instruments
BH18-09
service
Deployment Activity
Lake Superior, Lake Michigan, and Lake Huron
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.
Ecosystem-scale responses of coupled carbon and nutrient cycles to dramatic shifts in benthic communities: The Upper Great Lakes
https://osprey.bco-dmo.org/project/897232
Ecosystem-scale responses of coupled carbon and nutrient cycles to dramatic shifts in benthic communities: The Upper Great Lakes
<p><em>NSF Award Abstract:</em><br />
This project will study the effects of invasive zebra and quagga mussels on the biology and chemistry of the Great Lakes. These mussels have caused unprecedented changes to lake ecosystems, including large shifts in water quality, altered fisheries and diminished recreational opportunities. The mechanisms by which the invasion has affected ecologically important aspects of lake chemistry remain uncertain, making it difficult to predict future changes. This project will quantify how mussels affect sediment and water nutrient chemistry in Lakes Michigan and Huron. Important missing data on altered chemical exchange between sediments and water will be collected to quantify the processes controlling nutrient cycles in the Great Lakes as water moves to the coastal ocean. Development of improved numerical models from this work will allow evaluation of other freshwater and marine systems affected by similar mussel invasions and other stressors. The project will train a post-doctoral researcher and several graduate and undergraduate students in highly interdisciplinary research. Educators and the public at large will be served through creation of freely available, online multimedia content, as well as outreach events at the Duluth Great Lakes Aquarium, the Shedd Aquarium in Chicago, and the Discovery World Science Museum in Milwaukee.</p>
<p>Benthic communities can have large impacts on benthic-pelagic chemical exchanges, but the ecosystem-scale effects of benthos on coupled transformations of carbon, nitrogen, and phosphorus (C-N-P) are rarely addressed and virtually unquantified in freshwaters. The recent invasion of the Laurentian Great Lakes, the world's largest freshwater ecosystem, by dreissenid (zebra and quagga) mussels coincided with massive changes to ecology and water chemistry. Consequences of the invasion include a large and unexplained decline in phosphorus levels, enigmatic reversal of past trends in nitrate levels, and the near-disappearance of native bioturbating Diporeia amphipods. Modeling suggests that nutrient fluxes from sediments could have been strongly affected by shifts in benthic community. Mechanisms explaining these changes, however, remain obscure and thus hamper model predictions of future ecosystem trajectories. Researchers from the Large Lakes Observatory - University of Minnesota Duluth will determine the effects of established dreissenid populations on sediment geochemistry and nutrient dynamics in the Great Lakes by conducting detailed studies in dreissenid-invaded Lakes Michigan and Huron and dreissenid-free Lake Superior. A team of biologists and geochemists will (1) obtain field data to characterize sediment geochemistry of C-N-P, asses rates of biogeochemical processes, and dreissenid effects on chemical and physical properties of sediments, (2) conduct lab experiments to determine how functional traits of sessile dreissenids vs. burrowing Diporeia affect sediment characteristics and chemical fluxes, and (3) use reactive-transport and mass-balance models to understand the whole-lake geochemistry of carbon and nutrients in dreissenid-invaded lakes. This work will advance understanding of the ecology of the great lakes and generally improve models of sediment - water column interactions in aquatic ecosystems.</p>
Great Lakes CNP cycles
largerWorkCitation
project
eng; USA
oceans
Lake Superior, Lake Michigan, and Lake Huron
-91.3108
-83.4033
43.8812
47.5562
2018-07-30
2018-08-10
Upper Laurentian Great Lakes (Lakes Superior, Michigan, Huron)
0
BCO-DMO catalogue of parameters from Polyphosphate and associated measurements from water and particulate samples collected from 13 locations in the Great Lakes in July-Aug 2018 on R/V Blue Heron cruise BH18-09
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/921759.rdf
Name: Site_ID
Units: unitless
Description: <p>Sample site identification</p>
http://lod.bco-dmo.org/id/dataset-parameter/921760.rdf
Name: Latitude
Units: decimal degrees
Description: <p>Sample site latitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/921761.rdf
Name: Longitude
Units: decimal degrees
Description: <p>Sample site longitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/921762.rdf
Name: Date
Units: unitless
Description: <p>Date of sampling collection</p>
http://lod.bco-dmo.org/id/dataset-parameter/921763.rdf
Name: GLENDA_site
Units: unitless
Description: <p>Site identification for matching data in the Great Lakes Environmental Database (GLENDA)</p>
http://lod.bco-dmo.org/id/dataset-parameter/921764.rdf
Name: Total_Depth
Units: meters (m)
Description: <p>Total water depth of the sample site</p>
http://lod.bco-dmo.org/id/dataset-parameter/921765.rdf
Name: Sample_Depth
Units: meters (m)
Description: <p>Depth where the sample was taken</p>
http://lod.bco-dmo.org/id/dataset-parameter/921766.rdf
Name: APase
Units: nanomole per hour per litre (nmol h-1 L-1)
Description: <p>Activity of alkaline phosphatase</p>
http://lod.bco-dmo.org/id/dataset-parameter/921767.rdf
Name: SRP
Units: nanomolar (nM)
Description: <p>Soluble reactive phosphorus</p>
http://lod.bco-dmo.org/id/dataset-parameter/921768.rdf
Name: Chl_a
Units: microgram per litre (ug L-1)
Description: <p>Chlorophyll a</p>
http://lod.bco-dmo.org/id/dataset-parameter/921769.rdf
Name: Filter_size
Units: micrometer (um)
Description: <p>The size of filters used to collect the particulate samples</p>
http://lod.bco-dmo.org/id/dataset-parameter/921770.rdf
Name: PP
Units: nanomole per litre (nmol L-1)
Description: <p>Particulate phosphorus</p>
http://lod.bco-dmo.org/id/dataset-parameter/921771.rdf
Name: PolyP_DAPI
Units: equivalent nanomolar (e.q. nM)
Description: <p>PolyP measured by using DAPI method</p>
http://lod.bco-dmo.org/id/dataset-parameter/921772.rdf
Name: PolyP_JCD7
Units: nanomolar (nM)
Description: <p>PolyP measured by using polyP specific dye JC-D7</p>
http://lod.bco-dmo.org/id/dataset-parameter/921773.rdf
Name: PC
Units: micromolar (uM)
Description: <p>Particulate carbon</p>
http://lod.bco-dmo.org/id/dataset-parameter/921774.rdf
Name: PN
Units: micromolar (uM)
Description: <p>Particulate nitrogen</p>
http://lod.bco-dmo.org/id/dataset-parameter/921775.rdf
Name: ratio_PolyP_to_PP_JCD7
Units: unitless
Description: <p>The ratio of polyP to particulate P; polyP was quantified using polyP specific dye JC-D7</p>
http://lod.bco-dmo.org/id/dataset-parameter/921776.rdf
Name: ratio_PolyP_to_PP_DAPI
Units: unitless
Description: <p>The ratio of polyP to particulate P; polyP was quantified using DAPI and the results are relative estimates</p>
http://lod.bco-dmo.org/id/dataset-parameter/921777.rdf
Name: Reference
Units: unitless
Description: <p>Data source</p>
http://lod.bco-dmo.org/id/dataset-parameter/921778.rdf
Name: Region
Units: unitless
Description: <p>Sampling region</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
19867
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/6b3f2e35-85d2-4cff-a7cb-0e351d9a94d5/content
download
https://doi.org/10.26008/1912/bco-dmo.920878.1
download
onLine
dataset
<p>Water samples were collected using Rosette Niskin bottles attached to a Seabird 911plus conductivity-temperature-depth probe (CTD), which also profiled temperature, oxygen, light transmission, and chlorophyll (Chl-a) concentrations. Suspended particles in the water were collected by filtering water through various sizes of filters (0.2 μm and 2.0 μm polycarbonate membrane filters and 0.7 um GF/F). Particulate carbon and nitrogen (PC and PN) were analyzed by using an Elemental Analyzer on the particles collected on the 0.7&nbsp;μm GFF that have been pre-combusted at 550°C for 6 hours. Particulate phosphorus (PP) was quantified using the persulfate digestion and molybdenum blue method (Suzumura 2008, Grasshoff et al. 1999). Soluble reactive P (SRP) in the water column was also measured using the molybdenum blue method (Grasshoff et al. 1999).</p>
<p>Chl-a was extracted from the 0.2 μm filters using 90% acetone for 12 hours at 4°C in the dark after homogenization and sonication, and determined for Chl-a fluorometrically at an excitation wavelength of 430 nm and an emission wavelength of 663 nm (APHA 1998).&nbsp; Alkaline phosphatase activity (APase) was determined using a fluorogenic substrate 3-O-methylfluorescein phosphate (MUF-P) (Martin et al. 2018). PolyP in the particles was extracted using an enzyme digestion and boiling method for marine plankton (Martin and Van&nbsp;Mooy 2013). Extracted PolyP was stained using 4’,6-diamidino-2-phenylindole (DAPI) and fluorometrically quantified (Aschar-Sobbi et al. 2008; Diaz et al. 2010). We also used a polyP-specific dye JC-D7 (InvivoChem, USA, # V22869, 87% purity) to quantify polyP (Angelova et al. 2014): the polyP extracts were stained using JC-D7 (25&nbsp;μmol L-1) dissolved in 5% DMSO buffered with HEPES solution (pH = 7.4, 25 mmol L-1), and quantified for polyP concentrations by measuring fluorescence intensity at an excitation wavelength of 405 nm and an emission wavelength of 535 nm.&nbsp;The colorimetric and fluorescence measurements were conducted using a BioTek microplate reader.</p>
<p>PolyP data from other aquatic ecosystems (lakes and oceans) reported in the literature are also included in the dataset for comparison (Diaz et al. 2016, Hashihama et al. 2020, Li et al. 2019, Martin et al. 2014, Martin et al. 2018). The literature data were obtained by digitizing the figures in the original papers and can only be considered approximations (except for Li et al. 2019, for which the original values are reported).</p>
<p>The data for phytoplankton abundance&nbsp;were originally reported in the Great Lakes Environmental Database (GLENDA) by the US Environmental Protection Agency Great Lakes National Program Office (EPA GLNPO;&nbsp;<a href="https://cdx.epa.gov/">https://cdx.epa.gov/</a>; Barbiero et al. 2018). In the GLENDA dataset, phytoplankton were identified to species or the lowest practical taxonomic level, counted, and estimated for biovolume (µm³ mL-1) for each identified species using the Utermöhl technique and the EPA Standard Operating Procedure for Phytoplankton Analysis (LG401). We extracted data from stations near our sites and only analyzed the data collected in the summer (August) for the past five years (2014-2019). Biovolume and biovolume per individual cell were averaged for each species identified. The GLENDA phytoplankton data were collected as part of a grant to Euan Reavie from the U.S. Environmental Protection Agency under Cooperative Agreements GL-00E23101 and GL-00E0198. Our data treatment and this document have not been subjected to the EPA’s required peer and policy review and do not reflect the view of the Agency, so no official endorsement should be inferred.&nbsp;</p>
Specified by the Principal Investigator(s)
<p><span style="color:rgb(0, 0, 0); font-family:helvetica,arial,sans-serif; font-size:14.4px">The literature data reported here were obtained by digitizing the figures in the original papers using MATLAB R2020 and can only be considered approximations (except for Li et al. 2019, for which the original values are reported). In brief, data in scatter plots were digitized by referencing the the pixel locations of the data points to&nbsp;those of the coordinates (e.g., x and y axes) using linear&nbsp;interpolation; Values associated with color (e.g, data in colormaps) were obtained by referencing the RGB values of the data points to those of the&nbsp;colorbar using least square approximation.</span></p>
Specified by the Principal Investigator(s)
Imported data from source file "GreatLakes_PolyP.xlsx" into the BCO-DMO data system.
- Corrected latitude and longitude values and site names
Imported supplemental file "GreatLakes_CTD.xlsx"
- Added sampling dates based on Site ID
- Renamed S-240 to S232 as they are same site location
Imported supplemental file "GreatLakes_Phytoplankton.xlsx"
- Rounded Biovolume and Biovolume_perind values to 2 decimal places
- Taxonomic names in the dataset were checked using the World Register of Marine Species (WoRMS) taxa match tool. Added WoRMS information (including AphiaID and source) to phytoplankton data.
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
Seabird 911plus conductivity-temperature-depth probe
Seabird 911plus conductivity-temperature-depth probe
PI Supplied Instrument Name: Seabird 911plus conductivity-temperature-depth probe PI Supplied Instrument Description:Water samples were collected using Rosette Niskin bottles attached to a Seabird 911plus conductivity-temperature-depth probe (CTD) Instrument Name: CTD Sea-Bird SBE 911plus Instrument Short Name:CTD SBE 911plus Instrument Description: The Sea-Bird SBE 911 plus is a type of CTD instrument package for continuous measurement of conductivity, temperature and pressure. The SBE 911 plus includes the SBE 9plus Underwater Unit and the SBE 11plus Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9 plus and SBE 11 plus is called a SBE 911 plus. The SBE 9 plus uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 plus and SBE 4). The SBE 9 plus CTD can be configured with up to eight auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorescence, light (PAR), light transmission, etc.). more information from Sea-Bird Electronics Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0058/
CHNS Elemental Analyzer (Vario EL Cube, Elementar)
CHNS Elemental Analyzer (Vario EL Cube, Elementar)
PI Supplied Instrument Name: CHNS Elemental Analyzer (Vario EL Cube, Elementar) PI Supplied Instrument Description:Particulate carbon and nitrogen (PC and PN) were analyzed by using an Elemental Analyzer Instrument Name: Elementar Vario EL Cube elemental analyzer Instrument Short Name:Vario EL Cube Instrument Description: A laboratory instrument used for quantifying organic elements. It can measure C, H, N and S and optionally O, Cl and TIC. It was first developed in 2006 as a successor to the vario EL III. It uses a high-temperature combustion unit that is able to complete sample digestion at up to 1200 deg C (or 1800 deg C at the point of combustion when tin foil is used) and a jet injection of oxygen directly to the sample during combustion. Separation of gas components are performed on up to 3 gas-selective columns which trap gases until they are heated up and the prior gas peak has reached the baseline during detection. It uses a Thermal Conductivity Detector (TCD) as standard. An infrared (IR) detector for sulfur and oxygen and electrochemical detector for chlorine are optionally available. The instrument can measure C / N elemental ratios of up to 12,000:1 and provides an elemental detection limit of < 40 ppm (TCD).
Rosette Niskin bottles
Rosette Niskin bottles
PI Supplied Instrument Name: Rosette Niskin bottles PI Supplied Instrument Description:Water samples were collected using Rosette Niskin bottles attached to a Seabird 911plus conductivity-temperature-depth probe (CTD) 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/
FlexStation 3 Multi-mode Microplate Reader, BioTek
FlexStation 3 Multi-mode Microplate Reader, BioTek
PI Supplied Instrument Name: FlexStation 3 Multi-mode Microplate Reader, BioTek PI Supplied Instrument Description:The colorimetric and fluorescence measurements were conducted using a BioTek microplate reader. Instrument Name: plate reader Instrument Short Name: Instrument Description: Plate readers (also known as microplate readers) are laboratory instruments designed to detect biological, chemical or physical events of samples in microtiter plates. They are widely used in research, drug discovery, bioassay validation, quality control and manufacturing processes in the pharmaceutical and biotechnological industry and academic organizations. Sample reactions can be assayed in 6-1536 well format microtiter plates. The most common microplate format used in academic research laboratories or clinical diagnostic laboratories is 96-well (8 by 12 matrix) with a typical reaction volume between 100 and 200 uL per well. Higher density microplates (384- or 1536-well microplates) are typically used for screening applications, when throughput (number of samples per day processed) and assay cost per sample become critical parameters, with a typical assay volume between 5 and 50 µL per well. Common detection modes for microplate assays are absorbance, fluorescence intensity, luminescence, time-resolved fluorescence, and fluorescence polarization. From: http://en.wikipedia.org/wiki/Plate_reader, 2014-09-0-23.
Cruise: BH18-09
BH18-09
R/V Blue Heron
Community Standard Description
International Council for the Exploration of the Sea
R/V Blue Heron
vessel
BH18-09
Ted Ozersky
University of Minnesota Duluth
R/V Blue Heron
Community Standard Description
International Council for the Exploration of the Sea
R/V Blue Heron
vessel