4912280
doi
10.5281/zenodo.4912280
oai:zenodo.org:4912280
Roman, Marco
Ca'Foscari University of Venice, Italy
Šala, Martin
National Institute of Chemistry, Ljubljana, Slovenia
Delmonte, Barbara
Università degli Studi di Milano-Bicocca, Dept. of Earth and Environmental Sciences, Milano, Italy
Stenni, Barbara
Ca'Foscari University of Venice, Italy
Barbante, Carlo
Ca'Foscari University of Venice, Italy
Vascon, Sebastiano
Ca'Foscari University of Venice, Italy
Kaleem, Siddiqi
School of Computer Science & Centre for Intelligent Machines, McGill University, Montreal, Canada
Pelillo, Marcello
Ca'Foscari University of Venice, Italy
Chemical impurity distribtion (Na, Mg, Sr) in the EPICA Dome C ice core bag 1065 obtained from 2D imaging with LA-ICP-MS
Bohleber, Pascal
Ca'Foscari University of Venice, Italy
doi:10.3389/fcomp.2021.690276
arxiv:arXiv:2104.04430
doi:10.5194/tc-2020-369
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
ice core
chemical impurities
Antarctica
LA-ICP-MS
<p>Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) offers micron-resolution 2D chemical imaging, which has been adapted recently to ice core analysis. Measurements were performed in 2020 at the Ca’Foscari University of Venice, in order to investigate the localization of impurities in the ice samples. Here an image is presented from applying LA-ICP-MS elemental imaging to a glacial (MIS2, bag 1065) samples of the EPICA Dome C ice core from central Antarctica. Lateral resolution is 35 microns both along and perpendicular to the scan direction. Considered as analytes are 23Na, 25Mg and 88Sr. Background and drift correction as well as image construction were performed using the software HDIP (Teledyne Photon Machines, Bozeman, MT, USA). Impurity images are acquired as a pattern of lines, without overlap in the direction perpendicular to that of the scan, and without any further spatial interpolation. Each pixel in an ice core chemical image has a size of 35 μm x 35 μm. For each chemical element the datasets comprise a numerical matrix which contains rows and columns according to the physical size of the image: an image of 7 mm x 35 mm in size has 200 rows and 1000 columns. The numerical entries in this matrix refer to the recorded intensity (e.g. in counts). Values lower than the detection limit are set to zero. Due to the careful synchronization, the individual pixels of the different chemical channels can be considered to be almost perfectly spatially aligned. In contrast, the mosaic of visual images obtained from the laser camera is not a-priori aligned with the chemical images. The visual images are generally characterized by air bubbles (dark blobs), grain boundaries (dark lines) and occasional sub-grain boundaries (thin dark lines).</p>
Zenodo
2021-06-08
info:eu-repo/semantics/other
4912279
1.0
award_title=Next generation analysis of the oldest ice core layers; award_number=790280; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/790280; funder_id=00k4n6c32; funder_name=European Commission;
award_title=Beyond EPICA Oldest Ice Core: 1,5 Myr of greenhouse gas – climate feedbacks; award_number=815384; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/815384; funder_id=00k4n6c32; funder_name=European Commission;
1623160107.850649
9725737
md5:6e1ddf6972dcece9b0000d1a3b452a61
https://zenodo.org/records/4912280/files/EDC1065_Mosaic.jpg
1342508
md5:5e4475f6ca179c0ee85d5f6bbb3cb75b
https://zenodo.org/records/4912280/files/EDC1065_Na.csv
816959
md5:4697ddcfb4d1aa447bbb70f1dfb1ef5e
https://zenodo.org/records/4912280/files/EDC1065_Sr.csv
848710
md5:1b44c2b51bf42b197832a904e17bac42
https://zenodo.org/records/4912280/files/EDC1065_Mg.csv
public
10.3389/fcomp.2021.690276
Is supplement to
doi
arXiv:2104.04430
Is supplement to
arxiv
10.5194/tc-2020-369
Is supplement to
doi
10.5281/zenodo.4912279
isVersionOf
doi