Contributors
Clement P. Bataille:
ORCID: http://orcid.org/0000-0001-8625-4658
Role: ConceptualizationRole: InvestigationRole: MethodologyRole: VisualizationRole:
Writing – original draftRole: Writing – review & editing
Isabella C. C. von Holstein: Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole:
ValidationRole: Writing – original draftRole: Writing – review & editing
Jason E. Laffoon: Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole:
VisualizationRole: Writing – review & editing
Malte Willmes: Role: Writing – review & editing
Xiao-Ming Liu: Role: ResourcesRole: SupervisionRole: Writing – review & editing
Gareth R. Davies: Role: ResourcesRole: SupervisionRole: Writing – review & editing
Jennifer Cotton: Role: Editor
Journal
Journal ID (nlm-ta): PLoS One
Journal ID (iso-abbrev): PLoS ONE
Journal ID (publisher-id): plos
Journal ID (pmc): plosone
Title:
PLoS ONE
Publisher:
Public Library of Science
(San Francisco, CA USA
)
ISSN
(Electronic):
1932-6203
Publication date
(Electronic):
30
May
2018
Publication date Collection: 2018
Volume: 13
Issue: 5
Electronic Location Identifier: e0197386
Affiliations
[1
]
Department of Earth and Environmental Sciences, University of Ottawa, Ottawa, Canada
[2
]
Department of Geological Sciences, University of North Carolina, Chapel Hill, N.C.,
United States of America
[3
]
Department of Earth Sciences, Faculty of Science, Vrije Universiteit Amsterdam, The
Netherlands
[4
]
Faculty of Archaeology, Leiden University, Leiden, The Netherlands
[5
]
Department of Wildlife, Fish, and Conservation Biology, University of California Davis,
Davis, C.A., United States of America
California State University Northridge, UNITED STATES
Author notes
Competing Interests: We have the following interests: CPB and XML were supported by the University of North
Carolina start-up fund awarded to Xiao-Ming Liu (
http://www.unc.edu/). There are no patents, products in development or marketed products to declare.
This does not alter our adherence to all the PLOS ONE policies on sharing data and
materials.
Author information
Article
Publisher ID:
PONE-D-17-32422
DOI: 10.1371/journal.pone.0197386
PMC ID: 5976198
PubMed ID: 29847595
SO-VID: f70065ff-61eb-4dc5-af98-c19ece177dbf
Copyright © © 2018 Bataille et al
License:
This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided
the original author and source are credited.
History
Date
received
: 4
September
2017
Date
accepted
: 1
May
2018
Page count
Figures: 10,
Tables: 3,
Pages: 27
Funding
Funded by: funder-id http://dx.doi.org/10.13039/100011199, FP7 Ideas: European Research Council;
Award ID: 319209
Award Recipient
:
Gareth R. Davies
Funded by: funder-id http://dx.doi.org/10.13039/100007890, University of North Carolina at Chapel Hill;
Award ID: start-up fund
Award Recipient
:
Xiao-Ming Liu
CPB and XML were supported by the University of North Carolina start-up fund awarded
to Xiao-Ming Liu (
http://www.unc.edu/). GRD, ICCvH and JEL were supported by the ERC-Synergy project NEXUS1492 under the
European Union's Seventh Framework Programme (FP7/2007-2013)/ERC grant agreement no.
319209 (
https://ec.europa.eu/research/fp7/index_en.cfm). Partial support for this work was provided by U.S. National Science Foundation
grant EF-01241286 (
https://www.nsf.gov/). No individual employed or contracted by the funders (other than the named authors)
played any role in study design, data collection and analysis, decision to publish,
or preparation of the manuscript.
Categories
Subject:
Research Article
Subject:
Computer and Information Sciences
Subject:
Artificial Intelligence
Subject:
Machine Learning
Subject:
Earth Sciences
Subject:
Geology
Subject:
Earth Sciences
Subject:
Geology
Subject:
Geological Units
Subject:
Earth Sciences
Subject:
Geology
Subject:
Petrology
Subject:
Sediment
Subject:
Earth Sciences
Subject:
Geology
Subject:
Sedimentary Geology
Subject:
Sediment
Subject:
Physical Sciences
Subject:
Mathematics
Subject:
Applied Mathematics
Subject:
Algorithms
Subject:
Machine Learning Algorithms
Subject:
Research and Analysis Methods
Subject:
Simulation and Modeling
Subject:
Algorithms
Subject:
Machine Learning Algorithms
Subject:
Computer and Information Sciences
Subject:
Artificial Intelligence
Subject:
Machine Learning
Subject:
Machine Learning Algorithms
Subject:
Physical Sciences
Subject:
Materials Science
Subject:
Materials by Structure
Subject:
Mixtures
Subject:
Aerosols
Subject:
People and Places
Subject:
Geographical Locations
Subject:
Europe
Subject:
Physical Sciences
Subject:
Materials Science
Subject:
Materials by Structure
Subject:
Dust
Custom metadata