December 2, 2021 Dataset Open Access

Tollenaar, Veronica; Zekollari, Harry; Lhermitte, Stef; Tax, David M.J.; Debaille, Vinciane; Goderis, Steven; Claeys, Philippe; Pattyn, Frank

DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.5749753</identifier>
  <creators>
    <creator>
      <creatorName>Tollenaar, Veronica</creatorName>
      <givenName>Veronica</givenName>
      <familyName>Tollenaar</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-9577-1729</nameIdentifier>
      <affiliation>Laboratoire de Glaciologie, Université libre de Bruxelles, Brussels, Belgium.</affiliation>
    </creator>
    <creator>
      <creatorName>Zekollari, Harry</creatorName>
      <givenName>Harry</givenName>
      <familyName>Zekollari</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-7443-4034</nameIdentifier>
      <affiliation>Department of Geoscience and Remote Sensing, Delft University of Technology, Delft, The Netherlands. Laboratoire de Glaciologie, Université libre de Bruxelles, Brussels, Belgium.</affiliation>
    </creator>
    <creator>
      <creatorName>Lhermitte, Stef</creatorName>
      <givenName>Stef</givenName>
      <familyName>Lhermitte</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-1622-0177</nameIdentifier>
      <affiliation>2Department of Geoscience and Remote Sensing, Delft University of Technology, Delft, The Netherlands.</affiliation>
    </creator>
    <creator>
      <creatorName>Tax, David M.J.</creatorName>
      <givenName>David M.J.</givenName>
      <familyName>Tax</familyName>
      <affiliation>Pattern Recognition Laboratory, Delft University of Technology, Delft, The Netherlands.</affiliation>
    </creator>
    <creator>
      <creatorName>Debaille, Vinciane</creatorName>
      <givenName>Vinciane</givenName>
      <familyName>Debaille</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-6544-4564</nameIdentifier>
      <affiliation>Laboratoire G-Time, Université libre de Bruxelles, Brussels, Belgium.</affiliation>
    </creator>
    <creator>
      <creatorName>Goderis, Steven</creatorName>
      <givenName>Steven</givenName>
      <familyName>Goderis</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-6666-7153</nameIdentifier>
      <affiliation>Analytical‐, Environmental‐, and Geo‐Chemistry, Vrije Universiteit Brussel, Brussels, Belgium.</affiliation>
    </creator>
    <creator>
      <creatorName>Claeys, Philippe</creatorName>
      <givenName>Philippe</givenName>
      <familyName>Claeys</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4585-7687</nameIdentifier>
      <affiliation>Analytical‐, Environmental‐, and Geo‐Chemistry, Vrije Universiteit Brussel, Brussels, Belgium.</affiliation>
    </creator>
    <creator>
      <creatorName>Pattyn, Frank</creatorName>
      <givenName>Frank</givenName>
      <familyName>Pattyn</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-4805-5636</nameIdentifier>
      <affiliation>Laboratoire de Glaciologie, Université libre de Bruxelles, Brussels, Belgium.</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Datasets for "Unexplored Antarctic meteorite collection sites revealed through machine learning"</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <dates>
    <date dateType="Issued">2021-12-02</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5749753</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.5749752</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/amgclabpublications</relatedIdentifier>
  </relatedIdentifiers>
  <version>1</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This archive provides datasets related to the following publication:&lt;/p&gt;

&lt;p&gt;V. Tollenaar, H. Zekollari, S. Lhermitte, D. Tax, V. Debaille, S. Goderis, P. Claeys, F. Pattyn, Unexplored Antarctic meteorite collection sites revealed through machine learning. Science Advances 8, eabj8138 (2022). &lt;a href="https://doi.org/10.1126/sciadv.abj8138"&gt;DOI: 10.1126/sciadv.abj8138&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Contact: Veronica Tollenaar, Veronica.Tollenaar@ulb.be&lt;/p&gt;

&lt;p&gt;Users should cite the original publication when using all or part of the data.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;About the datasets: it includes a shapefile with the outline of the 613 Meteorite Stranding Zones (Fig. 7, &amp;quot;613MSZs.zip&amp;quot;), the observations used for classification, and the continent-wide probability to find meteorites (at 450-meter resolution, Fig. 5, &amp;quot;positive_classified.nc&amp;quot;). References to the literature are provided in the corresponding publication. Meteorite locations are based on the Meteoritical Bulletin Database (available at https://www.lpi.usra.edu/meteor/).&lt;/p&gt;

&lt;p&gt;- bias_above200m1kmbuff_expanded_dissolved: shapefile of polygons of unlabelled observations&lt;br&gt;
- meteorite_locations_raw.csv: contains locations of meteorite finds as defined in the meteoritical bulletin consulted on 05/07/2019&lt;br&gt;
- meteorite_types.csv: contains meteorite names and types as defined in the meteoritical bulletin consulted on 05/07/2019&lt;br&gt;
- validation_neg.csv: contains locations of negative observations used for validation&lt;br&gt;
- TEST_neg.csv: contains locations of negative test observations&lt;br&gt;
- TEST_pos.csv: contains locations of positive test obesrvations&lt;br&gt;
- MSZs_ranked: shapefile of ranked meteorite stranding zones&lt;br&gt;
- Test_neg4326: shapefile of locations used as negative test data&lt;br&gt;
- Cal_neg4326: shapefile of locations used as negative calibration/validation data&lt;br&gt;
- TestMSZs_pos4326: shapefile of locations used as positive test data in MSZ-level assesment&lt;br&gt;
- 613MSZs: shapefile of outlines of meteorite stranding zones&lt;br&gt;
- positive_classified.nc: netcdf of positive classified observations with their estimated a posteriori probabilities&lt;/p&gt;</description>
  </descriptions>
</resource>