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Datasets for "Unexplored Antarctic meteorite collection sites revealed through machine learning"

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

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    "description": "<p>This archive provides datasets related to the following publication:</p>\n\n<p>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). <a href=\"https://doi.org/10.1126/sciadv.abj8138\">DOI: 10.1126/sciadv.abj8138</a></p>\n\n<p>Contact: Veronica Tollenaar, Veronica.Tollenaar@ulb.be</p>\n\n<p>Users should cite the original publication when using all or part of the data.&nbsp;</p>\n\n<p>About the datasets: it includes a shapefile with the outline of the 613 Meteorite Stranding Zones (Fig. 7, &quot;613MSZs.zip&quot;), the observations used for classification, and the continent-wide probability to find meteorites (at 450-meter resolution, Fig. 5, &quot;positive_classified.nc&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/).</p>\n\n<p>- bias_above200m1kmbuff_expanded_dissolved: shapefile of polygons of unlabelled observations<br>\n- meteorite_locations_raw.csv: contains locations of meteorite finds as defined in the meteoritical bulletin consulted on 05/07/2019<br>\n- meteorite_types.csv: contains meteorite names and types as defined in the meteoritical bulletin consulted on 05/07/2019<br>\n- validation_neg.csv: contains locations of negative observations used for validation<br>\n- TEST_neg.csv: contains locations of negative test observations<br>\n- TEST_pos.csv: contains locations of positive test obesrvations<br>\n- MSZs_ranked: shapefile of ranked meteorite stranding zones<br>\n- Test_neg4326: shapefile of locations used as negative test data<br>\n- Cal_neg4326: shapefile of locations used as negative calibration/validation data<br>\n- TestMSZs_pos4326: shapefile of locations used as positive test data in MSZ-level assesment<br>\n- 613MSZs: shapefile of outlines of meteorite stranding zones<br>\n- positive_classified.nc: netcdf of positive classified observations with their estimated a posteriori probabilities</p>", 
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    "title": "Datasets for \"Unexplored Antarctic meteorite collection sites revealed through machine learning\"", 
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        "affiliation": "Laboratoire de Glaciologie, Universit\u00e9 libre de Bruxelles, Brussels, Belgium.", 
        "name": "Tollenaar, Veronica"
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        "orcid": "0000-0002-7443-4034", 
        "affiliation": "Department of Geoscience and Remote Sensing, Delft University of Technology, Delft, The Netherlands. Laboratoire de Glaciologie, Universit\u00e9 libre de Bruxelles, Brussels, Belgium.", 
        "name": "Zekollari, Harry"
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        "affiliation": "2Department of Geoscience and Remote Sensing, Delft University of Technology, Delft, The Netherlands.", 
        "name": "Lhermitte, Stef"
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        "affiliation": "Pattern Recognition Laboratory, Delft University of Technology, Delft, The Netherlands.", 
        "name": "Tax, David M.J."
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        "affiliation": "Laboratoire G-Time, Universit\u00e9 libre de Bruxelles, Brussels, Belgium.", 
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        "affiliation": "Analytical\u2010, Environmental\u2010, and Geo\u2010Chemistry, Vrije Universiteit Brussel, Brussels, Belgium.", 
        "name": "Goderis, Steven"
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        "affiliation": "Analytical\u2010, Environmental\u2010, and Geo\u2010Chemistry, Vrije Universiteit Brussel, Brussels, Belgium.", 
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        "affiliation": "Laboratoire de Glaciologie, Universit\u00e9 libre de Bruxelles, Brussels, Belgium.", 
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Publication date:
December 2, 2021
DOI:
10.5281/zenodo.5749753

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