http://lod.bco-dmo.org/id/dataset/861596
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
2021-09-27
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Water column Beryllium-7 from samples collected on the MOSAiC expedition, PS122, on R/V Polarstern in the Central Arctic Ocean during 2019-2020
2021-09-28
publication
2021-09-28
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2021-09-29
publication
https://doi.org/10.26008/1912/bco-dmo.861596.1
David C. Kadko
Florida International 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: Kadko, D. C. (2021) Water column Beryllium-7 from samples collected on the MOSAiC expedition, PS122, on R/V Polarstern in the Central Arctic Ocean during 2019-2020. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-09-28 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.861596.1 [access date]
Arctic water column 7Be Dataset Description: Methods and Sampling: <p><strong>Methods of ⁷Be collection and analyses</strong><br />
Pumps were used to collect seawater within the upper 60 m of the ocean during legs 2-3. Typically ~1400-2100 liters were taken from a hydrohole through the ice at 1-2 depths below the mixed layer. Unfiltered seawater was drawn through the sampling hose to the surface where it was passed through iron-oxide impregnated acrylic fiber filters which adsorb the ⁷Be (Lal et al., 1988; Krishnaswami et al., 1972; Lee et al., 1991). A flow meter attached in-line to the filter compartment recorded the amount of seawater that passed through each filter. To maximize ⁷Be collection, two fibers filtering approximately 600- 700 L of seawater apiece were collected from each ice station depth and later combined. The efficiency of the fiber for extraction of Be from seawater was determined by adding stable Be atomic absorption standards to a drum containing seawater (bringing the stable Be concentration to ~1 ppm), pumping the water through an iron fiber cartridge, and at every 100 L measuring the Be content of the cartridge effluent. Based on several trials, it was found that for sample volumes in the range 400–700 L, extraction efficiencies are respectively, 82 ± 3% to 76 ± 2%. The uncertainty of the extraction efficiency (4%) and the detector efficiency (2%) was, in all cases, smaller than the statistical counting error and the uncertainty in the blank. For the mixed layer samples, water was collected from the ship's seawater intake (~8m) and collected in barrels from which the water was passed through the iron-oxide filters as described above. The fibers were dried and shipped to Florida International University. There, the fibers were ashed, placed in a Marinelli beaker and analyzed with a high purity germanium (HPGe) gamma detector (Kadko et al, 2016). The ⁷Be has a readily identifiable gamma peak at 478 keV. The detector is calibrated by adding a commercially prepared mixed solution of known gamma activities to an ashed fiber and counting it in the Marinelli geometry.</p>
Funding provided by NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) Award Number: OPP-1753408 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1753408
Funding provided by NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) Award Number: OPP-1753423 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1753423
Funding provided by NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) Award Number: OPP-1753418 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1753418
completed
David C. Kadko
Florida International University
305-348-5016
Florida International University, Applied Research Center 10555 West Flagler St.
Miami
FL
33174
USA
dkadko@fiu.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Sample
Depth
Collection_Date
Latitude
Longitude
Be_7_CONC
Be_7_ERR
high purity germanium (HPGe) gamma detector
theme
None, User defined
sample identification
depth
date
latitude
longitude
beryllium
featureType
BCO-DMO Standard Parameters
Flow Meter
Gamma Ray Spectrometer
Pump
instrument
BCO-DMO Standard Instruments
PS122
service
Deployment Activity
Central Arctic Ocean
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.
Collaborative Research: Defining the Atmospheric Deposition of Trace Elements Into The Arctic Ocean-Ice Ecosystem During The Year-Long MOSAiC Ice Drift
https://osprey.bco-dmo.org/project/860467
Collaborative Research: Defining the Atmospheric Deposition of Trace Elements Into The Arctic Ocean-Ice Ecosystem During The Year-Long MOSAiC Ice Drift
<p><em>NSF Award Abstract:</em><br />
This project will use a Beryllium 7 (7-Be) method in a year-long expedition as part of the international Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition to assess the seasonal variability of aerosol deposition. This is the first modern opportunity for such a comprehensive study of the yearly depositional flux of trace elements (TEs) into the Arctic ocean/ice ecosystem. The combination of 7-Be and aerosol TE measurements has been shown to be an effective tool for estimating the atmospheric input of TEs in remote ocean regions where nearby land-based collection sites do not exist. The data generated in this work will be available to allow ground-truthing of models of aerosol deposition and atmospheric input of TEs. Atmospheric deposition is the dominant pathway by which anthropogenically-derived trace elements, especially mercury (Hg), enter the Arctic Ocean, and recent literature suggests that atmospheric deposition of biologically-essential trace elements such as iron (Fe) could play a major role in controlling biological productivity in the Arctic.</p>
<p>Atmospheric transport and deposition of aerosols is an important delivery mechanism of natural and contaminant trace elements (TEs) to the Arctic. Existing data show that atmospheric deposition of contaminant elements like Hg, Pb, and Se may be a major input of these elements to the Arctic, with likely sources being anthropogenic - industrial or power plant emissions associated with fossil fuel combustion in Europe, Russia, and Asia. The atmospheric input of biologically-essential trace elements (e.g. Mn, Fe, Co, Ni, Cu, Zn) plays a key role in controlling biogeochemical processes in the ocean, and recent work suggests this might be true in the Arctic as well. These inputs have strong implications for the ecosystem, and even human health. Assessment of this input is difficult because measurements of deposition rates in remote ocean regions are scarce, and are particularly daunting to take in the Arctic because harsh conditions and limited research platforms make it difficult to obtain quality-controlled precipitation and aerosol chemistry measurements on a routine basis. This research will provide estimates of the yearly atmospheric deposition flux of aerosol TEs (total and soluble), including those of biogeochemical importance as well as pollutant species. The seasonal evolution of partitioning of trace element deposition among the various catchments (ice, water, snow, melt ponds) will also be assessed. The work will involve measurements of 7-Be inventories, 7-Be aerosol activities, and aerosol concentrations of TEs. Field work will be during a year-long ice drift of the MOSAiC expedition through the central Arctic Ocean.</p>
<p>This project will be a component of the MOSAiC expedition, an international initiative motivated by the rapidly evolving Arctic climate system, with thinning sea ice, warming ocean and atmosphere temperatures, strong climate feedbacks, and dramatic implications for society. MOSAiC has broad international support and has been endorsed by international and US institutions as a project that is critically needed to provide foundational information on the changing central Arctic system required to support coupled model development. The ability to provide estimates of the atmospheric input of relevant TEs to the Arctic Ocean will contribute widely to the field of chemical oceanography, including understanding anthropogenic impacts on the region and the role atmospheric input of TEs plays in Arctic Ocean ecology. The lead institution is one of the country's leading minority serving universities, and the lead researcher has undertaken a mentoring program for students involved in its research activities. The team will record short lectures and video logs that can be used in future iterations of his courses to introduce important oceanographic concepts and give his students a first-hand account of life aboard an oceanographic vessel. Other scientists will be asked to grant interviews to add to the breadth of perspectives, and the outreach will emphasize the role of basic scientific research in improving our understanding of natural phenomena and the planet's response to anthropogenic stressors.</p>
MOSAiC
largerWorkCitation
project
eng; USA
oceans
Central Arctic Ocean
12.3923
115.9663
83.994
88.4963
2019-12-21
2020-04-29
Central Arctic Ocean
0
BCO-DMO catalogue of parameters from Water column Beryllium-7 from samples collected on the MOSAiC expedition, PS122, on R/V Polarstern in the Central Arctic Ocean during 2019-2020
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/861672.rdf
Name: Sample
Units: unitless
Description: <p>Sample identifier</p>
http://lod.bco-dmo.org/id/dataset-parameter/861673.rdf
Name: Depth
Units: meters (m)
Description: <p>Depth</p>
http://lod.bco-dmo.org/id/dataset-parameter/861674.rdf
Name: Collection_Date
Units: unitless
Description: <p>Collection date; format: YYYY-MM-DD</p>
http://lod.bco-dmo.org/id/dataset-parameter/861675.rdf
Name: Latitude
Units: decimal degrees North
Description: <p>Latitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/861676.rdf
Name: Longitude
Units: decimal degrees East
Description: <p>Longitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/861677.rdf
Name: Be_7_CONC
Units: becquerels per cubic meter (bq/m3)
Description: <p>Beryllium-7 isotope concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/861682.rdf
Name: Be_7_ERR
Units: becquerels per cubic meter (bq/m3)
Description: <p>Error (+/-) associated with Be_7_CONC</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
1351
https://darchive.mblwhoilibrary.org/bitstream/1912/27592/1/dataset-861596_arctic-water-column-7be__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.861596.1
download
onLine
dataset
<p><strong>Methods of ⁷Be collection and analyses</strong><br />
Pumps were used to collect seawater within the upper 60 m of the ocean during legs 2-3. Typically ~1400-2100 liters were taken from a hydrohole through the ice at 1-2 depths below the mixed layer. Unfiltered seawater was drawn through the sampling hose to the surface where it was passed through iron-oxide impregnated acrylic fiber filters which adsorb the ⁷Be (Lal et al., 1988; Krishnaswami et al., 1972; Lee et al., 1991). A flow meter attached in-line to the filter compartment recorded the amount of seawater that passed through each filter. To maximize ⁷Be collection, two fibers filtering approximately 600- 700 L of seawater apiece were collected from each ice station depth and later combined. The efficiency of the fiber for extraction of Be from seawater was determined by adding stable Be atomic absorption standards to a drum containing seawater (bringing the stable Be concentration to ~1 ppm), pumping the water through an iron fiber cartridge, and at every 100 L measuring the Be content of the cartridge effluent. Based on several trials, it was found that for sample volumes in the range 400–700 L, extraction efficiencies are respectively, 82 ± 3% to 76 ± 2%. The uncertainty of the extraction efficiency (4%) and the detector efficiency (2%) was, in all cases, smaller than the statistical counting error and the uncertainty in the blank. For the mixed layer samples, water was collected from the ship's seawater intake (~8m) and collected in barrels from which the water was passed through the iron-oxide filters as described above. The fibers were dried and shipped to Florida International University. There, the fibers were ashed, placed in a Marinelli beaker and analyzed with a high purity germanium (HPGe) gamma detector (Kadko et al, 2016). The ⁷Be has a readily identifiable gamma peak at 478 keV. The detector is calibrated by adding a commercially prepared mixed solution of known gamma activities to an ashed fiber and counting it in the Marinelli geometry.</p>
Specified by the Principal Investigator(s)
<p><strong>BCO-DMO Processing:</strong><br />
- modified parameter names to conform to BCO-DMO naming conventions;<br />
- converted date to YYYY-MM-DD format;<br />
- converted Latitude and Longitude to decimal degrees and rounded to 4 decimal places.</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
PI Supplied Instrument Name: PI Supplied Instrument Description:A flow meter attached in-line to the filter compartment recorded the amount of seawater that passed through each filter. Instrument Name: Flow Meter Instrument Short Name:Flow Meter Instrument Description: General term for a sensor that quantifies the rate at which fluids (e.g. water or air) pass through sensor packages, instruments, or sampling devices. A flow meter may be mechanical, optical, electromagnetic, etc. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/388/
high purity germanium (HPGe) gamma detector
high purity germanium (HPGe) gamma detector
PI Supplied Instrument Name: high purity germanium (HPGe) gamma detector PI Supplied Instrument Description:⁷Be was analyzed with high purity germanium (HPGe) gamma detectors. Instrument Name: Gamma Ray Spectrometer Instrument Short Name: Instrument Description: Instruments measuring the relative levels of electromagnetic radiation of different wavelengths in the gamma-ray waveband.
PI Supplied Instrument Name: PI Supplied Instrument Description:Pumps were used to collect seawater within the upper 60 m of the ocean during legs 2-3. 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
Cruise: PS122
PS122
Community Standard Description
International Council for the Exploration of the Sea
R/V Polarstern
vessel
PS122
https://datadocs.bco-dmo.org/docs/305/MOSAiC/data_docs/Expeditionsprogramm_PS122_leg2.pdf
Report describing PS122
Community Standard Description
International Council for the Exploration of the Sea
R/V Polarstern
vessel