Dataset Open Access

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; Roman, Marco; Šala, Martin; Delmonte, Barbara; Stenni, Barbara; Barbante, Carlo; Vascon, Sebastiano; Kaleem, Siddiqi; Pelillo, Marcello

DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="" xmlns="" xsi:schemaLocation="">
  <identifier identifierType="DOI">10.5281/zenodo.4912280</identifier>
      <creatorName>Bohleber, Pascal</creatorName>
      <affiliation>Ca'Foscari University of Venice, Italy</affiliation>
      <creatorName>Roman, Marco</creatorName>
      <affiliation>Ca'Foscari University of Venice, Italy</affiliation>
      <creatorName>Šala, Martin</creatorName>
      <affiliation>National Institute of Chemistry, Ljubljana, Slovenia</affiliation>
      <creatorName>Delmonte, Barbara</creatorName>
      <affiliation>Università degli Studi di Milano-Bicocca, Dept. of Earth and Environmental Sciences, Milano, Italy</affiliation>
      <creatorName>Stenni, Barbara</creatorName>
      <affiliation>Ca'Foscari University of Venice, Italy</affiliation>
      <creatorName>Barbante, Carlo</creatorName>
      <affiliation>Ca'Foscari University of Venice, Italy</affiliation>
      <creatorName>Vascon, Sebastiano</creatorName>
      <affiliation>Ca'Foscari University of Venice, Italy</affiliation>
      <creatorName>Kaleem, Siddiqi</creatorName>
      <affiliation>School of Computer Science &amp; Centre for Intelligent Machines, McGill University, Montreal, Canada</affiliation>
      <creatorName>Pelillo, Marcello</creatorName>
      <affiliation>Ca'Foscari University of Venice, Italy</affiliation>
    <title>Chemical impurity distribtion (Na, Mg, Sr) in the EPICA Dome C ice core bag 1065 obtained from 2D imaging with LA-ICP-MS</title>
    <subject>ice core</subject>
    <subject>chemical impurities</subject>
    <date dateType="Issued">2021-06-08</date>
  <resourceType resourceTypeGeneral="Dataset"/>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo" resourceTypeGeneral="JournalArticle">10.3389/fcomp.2021.690276</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="arXiv" relationType="IsSupplementTo" resourceTypeGeneral="Preprint">arXiv:2104.04430</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo" resourceTypeGeneral="Preprint">10.5194/tc-2020-369</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4912279</relatedIdentifier>
    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;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&amp;rsquo;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 &amp;mu;m x 35 &amp;mu;m. 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).&lt;/p&gt;</description>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/790280/">790280</awardNumber>
      <awardTitle>Next generation analysis of the oldest ice core layers</awardTitle>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/Horizon 2020 Framework Programme - Research and Innovation action/815384/">815384</awardNumber>
      <awardTitle>Beyond EPICA Oldest Ice Core: 1,5 Myr of greenhouse gas – climate feedbacks</awardTitle>
All versions This version
Views 5454
Downloads 4242
Data volume 99.2 MB99.2 MB
Unique views 5151
Unique downloads 3131


Cite as