Late Pleistocene glacial transitions in North America altered major river drainages, as revealed by deep-sea sediment View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Andrea Fildani, Angela M. Hessler, Cody C. Mason, Matthew P. McKay, Daniel F. Stockli

ABSTRACT

Sediment eroded from continents during ice ages can be rapidly (<104 years) transferred via rivers to the deep-sea and preserved in submarine fans, becoming a viable record of landscape evolution. We applied chemical weathering proxies and zircon geo-thermo-chronometry to late Pleistocene sediment recovered from the deep-sea Mississippi fan, revealing interactions between the Laurentide ice sheet (LIS) and broader Mississippi-Missouri catchment between ca. 70,000 and 10,000 years ago (70 to 10 ka). Sediment contribution from the Missouri catchment to the Mississippi fan was low between 70 and 30 ka but roughly doubled after the Last Glacial Maximum (LGM). Therefore, pre-LGM glacial advance profoundly altered the vast Missouri drainage through ice dams and/or re-routing of the river, thereby controlling the transfer of continental debris and freshwater toward southern outlets. More... »

PAGES

13839

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-32268-7

DOI

http://dx.doi.org/10.1038/s41598-018-32268-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1106921332

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30218039


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0406", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Geography and Environmental Geoscience", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/04", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Earth Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Statoil Research Center, 78730, Austin, TX, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fildani", 
        "givenName": "Andrea", 
        "id": "sg:person.013062431107.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013062431107.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "The Deep Time Institute, 78755, Austin, TX, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hessler", 
        "givenName": "Angela M.", 
        "id": "sg:person.011447213671.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011447213671.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of West Georgia", 
          "id": "https://www.grid.ac/institutes/grid.267437.3", 
          "name": [
            "Department of Geosciences, University of West Georgia, 30118, Corrollton, GA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mason", 
        "givenName": "Cody C.", 
        "id": "sg:person.015036451706.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015036451706.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Missouri State University", 
          "id": "https://www.grid.ac/institutes/grid.260126.1", 
          "name": [
            "Department of Geography, Geology, and Planning, Missouri State University, 65897, Springfield, MO, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "McKay", 
        "givenName": "Matthew P.", 
        "id": "sg:person.015616724105.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015616724105.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The University of Texas at Austin", 
          "id": "https://www.grid.ac/institutes/grid.89336.37", 
          "name": [
            "Jackson School of Geosciences, University of Texas at Austin, 78713, Austin, TX, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Stockli", 
        "givenName": "Daniel F.", 
        "id": "sg:person.0575742000.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0575742000.42"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nature12609", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001650799", 
          "https://doi.org/10.1038/nature12609"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/qres.1998.1985", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002308606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35073504", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008203987", 
          "https://doi.org/10.1038/35073504"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35073504", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008203987", 
          "https://doi.org/10.1038/35073504"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1130/g20604.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009512702"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature19085", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011523918", 
          "https://doi.org/10.1038/nature19085"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2117.2005.00279.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012280457"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2117.2005.00279.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012280457"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature06586", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012639831", 
          "https://doi.org/10.1038/nature06586"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1411762111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014127089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.quascirev.2010.04.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018140225"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bimj.4710300745", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021767206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.epsl.2005.10.034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022174034"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.earscirev.2015.11.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029126131"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.earscirev.2015.11.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029126131"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1130/b25934.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029802943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/2016gl071849", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031512748"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1130/g35513.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031752357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/2014jb011176", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034600793"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/bre.12038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036243833"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/esurf-4-831-2016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037195484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1130/0016-7606(1972)83[2189:pddind]2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043778957"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02431043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044589464", 
          "https://doi.org/10.1007/bf02431043"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02431043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044589464", 
          "https://doi.org/10.1007/bf02431043"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sedgeo.2016.11.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047076862"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1130/g21427.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048344464"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1130/g21427.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048344464"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/378334", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058671378"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/629290", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058825072"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1153569", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062457347"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1172873", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062460073"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1172873", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062460073"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1130/g37657.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062734474"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.epsl.2017.03.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084073561"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18172/cig.3237", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085493918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1130/spe284-p1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1088807199"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/2016gc006774", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090357710"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.epsl.2017.07.044", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091608101"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1130/g39245.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092005712"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.aan3001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092615263"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1130/gsatg355a.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100541432"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "Sediment eroded from continents during ice ages can be rapidly (<104 years) transferred via rivers to the deep-sea and preserved in submarine fans, becoming a viable record of landscape evolution. We applied chemical weathering proxies and zircon geo-thermo-chronometry to late Pleistocene sediment recovered from the deep-sea Mississippi fan, revealing interactions between the Laurentide ice sheet (LIS) and broader Mississippi-Missouri catchment between ca. 70,000 and 10,000 years ago (70 to 10 ka). Sediment contribution from the Missouri catchment to the Mississippi fan was low between 70 and 30 ka but roughly doubled after the Last Glacial Maximum (LGM). Therefore, pre-LGM glacial advance profoundly altered the vast Missouri drainage through ice dams and/or re-routing of the river, thereby controlling the transfer of continental debris and freshwater toward southern outlets.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-018-32268-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "8"
      }
    ], 
    "name": "Late Pleistocene glacial transitions in North America altered major river drainages, as revealed by deep-sea sediment", 
    "pagination": "13839", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "c1c6af734964d64d40f90e38fdc73e5be0334e59c72fa5c399b64e5cf2ad9519"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30218039"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-018-32268-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1106921332"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-018-32268-7", 
      "https://app.dimensions.ai/details/publication/pub.1106921332"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T02:32", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8700_00000609.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-018-32268-7"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-32268-7'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-32268-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-32268-7'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-32268-7'


 

This table displays all metadata directly associated to this object as RDF triples.

216 TRIPLES      21 PREDICATES      64 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-018-32268-7 schema:about anzsrc-for:04
2 anzsrc-for:0406
3 schema:author N9f7c161feff64393aee8c2f06aaaf7d4
4 schema:citation sg:pub.10.1007/bf02431043
5 sg:pub.10.1038/35073504
6 sg:pub.10.1038/nature06586
7 sg:pub.10.1038/nature12609
8 sg:pub.10.1038/nature19085
9 https://doi.org/10.1002/2014jb011176
10 https://doi.org/10.1002/2016gc006774
11 https://doi.org/10.1002/2016gl071849
12 https://doi.org/10.1002/bimj.4710300745
13 https://doi.org/10.1006/qres.1998.1985
14 https://doi.org/10.1016/j.earscirev.2015.11.001
15 https://doi.org/10.1016/j.epsl.2005.10.034
16 https://doi.org/10.1016/j.epsl.2017.03.001
17 https://doi.org/10.1016/j.epsl.2017.07.044
18 https://doi.org/10.1016/j.quascirev.2010.04.021
19 https://doi.org/10.1016/j.sedgeo.2016.11.014
20 https://doi.org/10.1073/pnas.1411762111
21 https://doi.org/10.1086/378334
22 https://doi.org/10.1086/629290
23 https://doi.org/10.1111/bre.12038
24 https://doi.org/10.1111/j.1365-2117.2005.00279.x
25 https://doi.org/10.1126/science.1153569
26 https://doi.org/10.1126/science.1172873
27 https://doi.org/10.1126/science.aan3001
28 https://doi.org/10.1130/0016-7606(1972)83[2189:pddind]2.0.co;2
29 https://doi.org/10.1130/b25934.1
30 https://doi.org/10.1130/g20604.1
31 https://doi.org/10.1130/g21427.1
32 https://doi.org/10.1130/g35513.1
33 https://doi.org/10.1130/g37657.1
34 https://doi.org/10.1130/g39245.1
35 https://doi.org/10.1130/gsatg355a.1
36 https://doi.org/10.1130/spe284-p1
37 https://doi.org/10.18172/cig.3237
38 https://doi.org/10.5194/esurf-4-831-2016
39 schema:datePublished 2018-12
40 schema:datePublishedReg 2018-12-01
41 schema:description Sediment eroded from continents during ice ages can be rapidly (&lt;10<sup>4</sup> years) transferred via rivers to the deep-sea and preserved in submarine fans, becoming a viable record of landscape evolution. We applied chemical weathering proxies and zircon geo-thermo-chronometry to late Pleistocene sediment recovered from the deep-sea Mississippi fan, revealing interactions between the Laurentide ice sheet (LIS) and broader Mississippi-Missouri catchment between ca. 70,000 and 10,000 years ago (70 to 10 ka). Sediment contribution from the Missouri catchment to the Mississippi fan was low between 70 and 30 ka but roughly doubled after the Last Glacial Maximum (LGM). Therefore, pre-LGM glacial advance profoundly altered the vast Missouri drainage through ice dams and/or re-routing of the river, thereby controlling the transfer of continental debris and freshwater toward southern outlets.
42 schema:genre research_article
43 schema:inLanguage en
44 schema:isAccessibleForFree true
45 schema:isPartOf Nd097c1aeaf8749ac92223f2c131edcee
46 Nf9d97c3681964bb1b744def4a9f5c879
47 sg:journal.1045337
48 schema:name Late Pleistocene glacial transitions in North America altered major river drainages, as revealed by deep-sea sediment
49 schema:pagination 13839
50 schema:productId N031bb1d318f54b8eb18d8edad5629b38
51 N05e0b10550da4d6c9d71c7723e10e27a
52 N06e3d84d05324de68c3a8d41581334b0
53 Ndbe16f37a49d416194c2d409e1d449a4
54 Necbf8c40fdaa41baaa676587fec85e4d
55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106921332
56 https://doi.org/10.1038/s41598-018-32268-7
57 schema:sdDatePublished 2019-04-11T02:32
58 schema:sdLicense https://scigraph.springernature.com/explorer/license/
59 schema:sdPublisher N107bc28181da4a8b8cc3bb6166f35b2b
60 schema:url https://www.nature.com/articles/s41598-018-32268-7
61 sgo:license sg:explorer/license/
62 sgo:sdDataset articles
63 rdf:type schema:ScholarlyArticle
64 N031bb1d318f54b8eb18d8edad5629b38 schema:name readcube_id
65 schema:value c1c6af734964d64d40f90e38fdc73e5be0334e59c72fa5c399b64e5cf2ad9519
66 rdf:type schema:PropertyValue
67 N05e0b10550da4d6c9d71c7723e10e27a schema:name dimensions_id
68 schema:value pub.1106921332
69 rdf:type schema:PropertyValue
70 N06e3d84d05324de68c3a8d41581334b0 schema:name pubmed_id
71 schema:value 30218039
72 rdf:type schema:PropertyValue
73 N0fe0baf68dad437aa5ed590ff1f562e9 rdf:first sg:person.015036451706.19
74 rdf:rest N2ef23d72de7b423a9071d2e077fe4452
75 N107bc28181da4a8b8cc3bb6166f35b2b schema:name Springer Nature - SN SciGraph project
76 rdf:type schema:Organization
77 N1344cc51132346b3a393a757046fa527 schema:name The Deep Time Institute, 78755, Austin, TX, USA
78 rdf:type schema:Organization
79 N1fd7c5e9d32b4c01a630cdcfcfcc41cc rdf:first sg:person.0575742000.42
80 rdf:rest rdf:nil
81 N27a86e65d6e34023b9d7919ad2acb52f rdf:first sg:person.011447213671.13
82 rdf:rest N0fe0baf68dad437aa5ed590ff1f562e9
83 N2ef23d72de7b423a9071d2e077fe4452 rdf:first sg:person.015616724105.39
84 rdf:rest N1fd7c5e9d32b4c01a630cdcfcfcc41cc
85 N37eceab11c2d44079a8f0e05c788b4d1 schema:name Statoil Research Center, 78730, Austin, TX, USA
86 rdf:type schema:Organization
87 N9f7c161feff64393aee8c2f06aaaf7d4 rdf:first sg:person.013062431107.07
88 rdf:rest N27a86e65d6e34023b9d7919ad2acb52f
89 Nd097c1aeaf8749ac92223f2c131edcee schema:issueNumber 1
90 rdf:type schema:PublicationIssue
91 Ndbe16f37a49d416194c2d409e1d449a4 schema:name nlm_unique_id
92 schema:value 101563288
93 rdf:type schema:PropertyValue
94 Necbf8c40fdaa41baaa676587fec85e4d schema:name doi
95 schema:value 10.1038/s41598-018-32268-7
96 rdf:type schema:PropertyValue
97 Nf9d97c3681964bb1b744def4a9f5c879 schema:volumeNumber 8
98 rdf:type schema:PublicationVolume
99 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
100 schema:name Earth Sciences
101 rdf:type schema:DefinedTerm
102 anzsrc-for:0406 schema:inDefinedTermSet anzsrc-for:
103 schema:name Physical Geography and Environmental Geoscience
104 rdf:type schema:DefinedTerm
105 sg:journal.1045337 schema:issn 2045-2322
106 schema:name Scientific Reports
107 rdf:type schema:Periodical
108 sg:person.011447213671.13 schema:affiliation N1344cc51132346b3a393a757046fa527
109 schema:familyName Hessler
110 schema:givenName Angela M.
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011447213671.13
112 rdf:type schema:Person
113 sg:person.013062431107.07 schema:affiliation N37eceab11c2d44079a8f0e05c788b4d1
114 schema:familyName Fildani
115 schema:givenName Andrea
116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013062431107.07
117 rdf:type schema:Person
118 sg:person.015036451706.19 schema:affiliation https://www.grid.ac/institutes/grid.267437.3
119 schema:familyName Mason
120 schema:givenName Cody C.
121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015036451706.19
122 rdf:type schema:Person
123 sg:person.015616724105.39 schema:affiliation https://www.grid.ac/institutes/grid.260126.1
124 schema:familyName McKay
125 schema:givenName Matthew P.
126 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015616724105.39
127 rdf:type schema:Person
128 sg:person.0575742000.42 schema:affiliation https://www.grid.ac/institutes/grid.89336.37
129 schema:familyName Stockli
130 schema:givenName Daniel F.
131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0575742000.42
132 rdf:type schema:Person
133 sg:pub.10.1007/bf02431043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044589464
134 https://doi.org/10.1007/bf02431043
135 rdf:type schema:CreativeWork
136 sg:pub.10.1038/35073504 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008203987
137 https://doi.org/10.1038/35073504
138 rdf:type schema:CreativeWork
139 sg:pub.10.1038/nature06586 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012639831
140 https://doi.org/10.1038/nature06586
141 rdf:type schema:CreativeWork
142 sg:pub.10.1038/nature12609 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001650799
143 https://doi.org/10.1038/nature12609
144 rdf:type schema:CreativeWork
145 sg:pub.10.1038/nature19085 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011523918
146 https://doi.org/10.1038/nature19085
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1002/2014jb011176 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034600793
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1002/2016gc006774 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090357710
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1002/2016gl071849 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031512748
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1002/bimj.4710300745 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021767206
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1006/qres.1998.1985 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002308606
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/j.earscirev.2015.11.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029126131
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/j.epsl.2005.10.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022174034
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/j.epsl.2017.03.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084073561
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/j.epsl.2017.07.044 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091608101
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/j.quascirev.2010.04.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018140225
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/j.sedgeo.2016.11.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047076862
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1073/pnas.1411762111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014127089
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1086/378334 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058671378
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1086/629290 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058825072
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1111/bre.12038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036243833
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1111/j.1365-2117.2005.00279.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1012280457
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1126/science.1153569 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062457347
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1126/science.1172873 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062460073
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1126/science.aan3001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092615263
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1130/0016-7606(1972)83[2189:pddind]2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043778957
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1130/b25934.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029802943
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1130/g20604.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009512702
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1130/g21427.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048344464
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1130/g35513.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031752357
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1130/g37657.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062734474
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1130/g39245.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092005712
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1130/gsatg355a.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100541432
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1130/spe284-p1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1088807199
203 rdf:type schema:CreativeWork
204 https://doi.org/10.18172/cig.3237 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085493918
205 rdf:type schema:CreativeWork
206 https://doi.org/10.5194/esurf-4-831-2016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037195484
207 rdf:type schema:CreativeWork
208 https://www.grid.ac/institutes/grid.260126.1 schema:alternateName Missouri State University
209 schema:name Department of Geography, Geology, and Planning, Missouri State University, 65897, Springfield, MO, USA
210 rdf:type schema:Organization
211 https://www.grid.ac/institutes/grid.267437.3 schema:alternateName University of West Georgia
212 schema:name Department of Geosciences, University of West Georgia, 30118, Corrollton, GA, USA
213 rdf:type schema:Organization
214 https://www.grid.ac/institutes/grid.89336.37 schema:alternateName The University of Texas at Austin
215 schema:name Jackson School of Geosciences, University of Texas at Austin, 78713, Austin, TX, USA
216 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...