<div><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></div>
Arctic water column 7Be
Arctic water column 7Be
<div><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></div>
861596
Arctic water column 7Be
2021-09-27T16:28:11-04:00
2021-09-27T16:28:11-04:00
2023-07-07T16:10:26-04:00
urn:bcodmo:dataset:861596
Water column Beryllium-7 from samples collected on the MOSAiC expedition, PS122, on R/V Polarstern in the Central Arctic Ocean during 2019-2020
This dataset reports Beryllium-7 concentrations from water samples collected on the MOSAiC expedition, PS122, aboard R/V Polarstern in the Central Arctic Ocean during 2019-2020.
false
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]
true
1
10.26008/1912/bco-dmo.861596.1
false
2021-09-28
Datapackage.json
Frictionless Data Package
https://www.bco-dmo.org/dataset/861596/datapackage.json
application/vnd.datapackage+json
PDF
https://www.bco-dmo.org/dataset/861596/Dataset_description.pdf
application/pdf
ISO 19115-2 (NOAA Profile)
https://www.bco-dmo.org/dataset/861596/iso
application/xml
http://www.isotc211.org/2005/gmd-noaa
Dublin Core
https://www.bco-dmo.org/dataset/861596/dublin-core
application/xml
http://purl.org/dc/elements/1.1/
861596
http://lod.bco-dmo.org/id/dataset/861596
2019-12-21 - 2020-04-29
2019-12-21
2019-12-21
---21
354
--12
2019
2020-04-29
2020-04-29
---29
119
--04
2020
OSPREY
http://www.opengis.net/def/crs/OGC/1.3/CRS84
<http://www.opengis.net/def/crs/OGC/1.3/CRS84> POLYGON((12.3923 83.994, 115.9663 83.994, 115.9663 83.994, 115.9663 88.4963, 12.3923 88.4963, 12.3923 83.994))
12.3923
83.994
115.9663
88.4963
86.245150000000
64.179300000000