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Stoll, Nicolas; Weikusat, Ilka; Eichler, Jan (2021): Microstructure maps with indicated micro-inclusions and grain boundaries (GB) of eleven samples (138-1340) m from the EastGRIP ice core [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.933045

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Abstract:
High-resolution microstructure maps were created from several hundred micro-photographs from eleven samples from the upper 1340 m of the East Greenland Ice Core Project ice core in North-East Greenland. Ice samples were drilled and processed between 2016 and 2019, microstructure mapping was performed between January 2020 and October 2020 at the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research. The samples are between 1.0 and 14.1 ka yr old and cover the Holocene, Younger Dryas, and Bolling Allerod. Sample sizes are usually 10 x 10 mm; some samples are up to 90 mm long. The maps were used to locate solid micro-inclusions 500 micrometer below the sample surface and to analyse the grain boundary area and the amount of micro-inclusions located at grain boundaries. Tiff images include the mapped micro-inclusions and can be opened with ImageJ oder Fiji. The first three or four numbers indicate the samples bag, the number after the underscore implies the section of the respective bag. Yellow dots are located micro-inclusions, colored dots are located and measured (with Raman spectroscopy) micro-inclusions. Grain boundaries are saved as .svg files and can be used with the tiff images to measure the amount of inclusions at grain boundaries. Grain boundaries and inclusions were not totally counted/analysed for EGRIP2286_3 due to a too large amount of inclusions and thus unreliable data. The methods to derive the maps are described in detail in Kipfstuhl et al. (2006) and Eichler et al. (2017).
Keyword(s):
EastGRIP; EGRIP; Greenland; Ice core; impurities; microscopy; Raman spectroscopy
Supplement to:
Stoll, Nicolas; Eichler, Jan; Hörhold, Maria; Erhardt, Tobias; Jensen, Camilla Marie; Weikusat, Ilka (2021): Microstructure, micro-inclusions, and mineralogy along the EGRIP ice core – Part 1: Localisation of inclusions and deformation patterns. The Cryosphere, 15(12), 5717-5737, https://doi.org/10.5194/tc-15-5717-2021
Related to:
Eichler, Jan; Kleitz, Ina; Bayer-Giraldi, Maddalena; Jansen, Daniela; Kipfstuhl, Sepp; Shigeyama, Wataru; Weikusat, Christian; Weikusat, Ilka (2017): Location and distribution of micro-inclusions in the EDML and NEEM ice cores using optical microscopy and in situ Raman spectroscopy. The Cryosphere, 11(3), 1075-1090, https://doi.org/10.5194/tc-11-1075-2017
Kipfstuhl, Sepp; Hamann, Ilka; Lambrecht, Anja; Freitag, Johannes; Faria, Sérgio H; Grigoriev, Dimitri; Azuma, Nobuhiko (2006): Microstructure mapping: a new method for imaging deformation-induced microstructural features of ice on the grain scale. Journal of Glaciology, 52(178), 398-406, https://doi.org/10.3189/172756506781828647
Project(s):
East Greenland Ice-core Project (EGRIP)
Glaciology @ AWI (AWI_Glac)
Coverage:
Latitude: 75.630000 * Longitude: -35.980000
Minimum DEPTH, ice/snow: 138.92 m * Maximum DEPTH, ice/snow: 1339.75 m
Event(s):
EGRIP (EastGRIP) * Latitude: 75.630000 * Longitude: -35.980000 * Location: Greenland * Method/Device: Ice drill (ICEDRILL)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1 Sample code/labelSample labelStoll, Nicolas
2 DEPTH, ice/snowDepth ice/snowmStoll, NicolasGeocode
3 SizeSizeStoll, NicolasL x W (mm), L = parallel to core axis, W = orthogonal to core axis
4 AgeAgeka b2kStoll, Nicolasfrom Mojtabavi et al., 2020
5 ImpuritiesImpurities#Stoll, Nicolastotal
6 ImpuritiesImpurities#Stoll, Nicolasgrain boundaries
7 Area indexArea indexStoll, NicolasGB_area = area occupied by grain boundaries (300 micrometers), 0= 0% 1=100%
8 p-valuep-valueStoll, Nicolas
9 RatioRatioStoll, NicolasR_GB = Ratio of impurities at grain boundaries and the area occupies by grain boundaries
10 Binary ObjectBinaryStoll, Nicolassvg
11 Binary ObjectBinaryStoll, Nicolastif
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
104 data points

Data

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1 
Sample label		2 
Depth ice/snow [m]		3 
Size
(L x W (mm), L = parallel to c...)		4 
Age [ka b2k]
(from Mojtabavi et al., 2020)		5 
Impurities [#]
(total)		6 
Impurities [#]
(grain boundaries)		7 
Area index
(GB_area = area occupied by gr...)		8 
p-value		9 
Ratio
(R_GB = Ratio of impurities at...)		10 
Binary
(svg)		11 
Binary
(tif)
253_4138.9213.01 x 16.961.02103230.18690.37530001.19EGRIP253_4_GB.svgEGRIP253_4.tif
504_3276.8811.0 x 12.762.21342850.20200.03659001.23EGRIP504_3_GB.svgEGRIP504_3.tif
756_1415.3010.01 x 13.273.4551210.20700.00082011.99EGRIP756_1_GB.svgEGRIP756_1.tif
936_3514.489.94 x 60.64.307521670.26000.01776000.85EGRIP936_3_GB.svgEGRIP936_3.tif
1116_1613.3017.31 x 54.195.155321610.30160.96230001.00EGRIP1116_1_GB.svgEGRIP1116_1.tif
1377_5757.2190 x 16.786.408172570.22500.00000001.40EGRIP1377_5_GB.svgEGRIP1377_5.tif
1637_2899.9411.32 x 12. 627.60129300.23000.91690001.01EGRIP1637_2_GB.svgEGRIP1637_2.tif
1933_11062.659.67 x 8.479.30133460.25500.02162001.36EGRIP1933_1_GB.svgEGRIP1933_1.tif
2075_61141.2016.61 x 21.6710.224861090.25480.13110000.88EGRIP2075_6_GB.svgEGRIP2075_6.tif
2286_31256.9810.45 x 48.512.08EGRIP2286_3.tif
2436_61339.7511.24 x 11.9614.07238310100.43000.54860000.98EGRIP2436_6_GB.svgEGRIP2436_6.tif