Eynatten, Hilmar von

[["dc.bibliographiccitation.firstpage","e2017231118"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Proceedings of the National Academy of Sciences"],["dc.bibliographiccitation.volume","118"],["dc.contributor.author","Baldwin, Suzanne L."],["dc.contributor.author","Schönig, Jan"],["dc.contributor.author","Gonzalez, Joseph P."],["dc.contributor.author","Davies, Hugh"],["dc.contributor.author","von Eynatten, Hilmar"],["dc.date.accessioned","2021-04-14T08:30:13Z"],["dc.date.available","2021-04-14T08:30:13Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1073/pnas.2017231118"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83154"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1091-6490"],["dc.relation.issn","0027-8424"],["dc.title","Garnet sand reveals rock recycling processes in the youngest exhumed high- and ultrahigh-pressure terrane on Earth"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","320"],["dc.bibliographiccitation.journal","Gondwana Research"],["dc.bibliographiccitation.lastpage","329"],["dc.bibliographiccitation.volume","87"],["dc.contributor.author","Schönig, Jan"],["dc.contributor.author","von Eynatten, Hilmar"],["dc.contributor.author","Meinhold, Guido"],["dc.contributor.author","Lünsdorf, N. Keno"],["dc.contributor.author","Willner, Arne P."],["dc.contributor.author","Schulz, Bernhard"],["dc.date.accessioned","2021-04-14T08:32:02Z"],["dc.date.available","2021-04-14T08:32:02Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1016/j.gr.2020.06.020"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83786"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.issn","1342-937X"],["dc.title","Deep subduction of felsic rocks hosting UHP lenses in the central Saxonian Erzgebirge: Implications for UHP terrane exhumation"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","320"],["dc.bibliographiccitation.journal","Gondwana Research"],["dc.bibliographiccitation.lastpage","323"],["dc.bibliographiccitation.volume","98"],["dc.contributor.author","Schönig, Jan"],["dc.contributor.author","von Eynatten, Hilmar"],["dc.contributor.author","Meinhold, Guido"],["dc.contributor.author","Lünsdorf, N. Keno"],["dc.contributor.author","Willner, Arne P."],["dc.contributor.author","Schulz, Bernhard"],["dc.date.accessioned","2021-09-01T06:42:33Z"],["dc.date.available","2021-09-01T06:42:33Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1016/j.gr.2020.12.029"],["dc.identifier.pii","S1342937X21000253"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/89083"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-455"],["dc.relation.issn","1342-937X"],["dc.title","Reply to comment on “Deep subduction of felsic rocks hosting UHP lenses in the central Saxonian Erzgebirge: Implications for UHP terrane exhumation”"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","32"],["dc.bibliographiccitation.journal","Sedimentary Geology"],["dc.bibliographiccitation.lastpage","49"],["dc.bibliographiccitation.volume","376"],["dc.contributor.author","Schönig, Jan"],["dc.contributor.author","Meinhold, Guido"],["dc.contributor.author","von Eynatten, Hilmar"],["dc.contributor.author","Lünsdorf, Nils K."],["dc.date.accessioned","2020-12-10T15:21:17Z"],["dc.date.available","2020-12-10T15:21:17Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1016/j.sedgeo.2018.07.009"],["dc.identifier.issn","0037-0738"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/72974"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Provenance information recorded by mineral inclusions in detrital garnet"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1421"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","Geological Magazine"],["dc.bibliographiccitation.lastpage","1440"],["dc.bibliographiccitation.volume","158"],["dc.contributor.author","Schönig, Jan"],["dc.contributor.author","von Eynatten, Hilmar"],["dc.contributor.author","Meinhold, Guido"],["dc.contributor.author","Lünsdorf, N. Keno"],["dc.date.accessioned","2021-08-12T07:44:48Z"],["dc.date.available","2021-08-12T07:44:48Z"],["dc.date.issued","2021"],["dc.description.abstract","Abstract Detrital coesite-bearing garnet is the final product of a complex geological cycle including coesite entrapment at ultra-high-pressure conditions, exhumation to Earth’s surface, erosion and sedimentary transport. In contrast to the usual enrichment of high-grade metamorphic garnet in medium- to coarse-sand fractions, coesite-bearing grains are often enriched in the very-fine-sand fraction. To understand this imbalance, we analyse the role of source-rock lithology, inclusion size, inclusion frequency and fluid infiltration on the grain-size heterogeneity of coesite-bearing garnet based on a dataset of 2100 inclusion-bearing grains, of which 93 contain coesite, from the Saxonian Erzgebirge, Germany. By combining inclusion assemblages and garnet chemistry, we show that (1) mafic garnet contains a low number of coesite inclusions per grain and is enriched in the coarse fraction, and (2) felsic garnet contains variable amounts of coesite inclusions per grain, whereby coesite-poor grains are enriched in the coarse fraction and coesite-rich grains extensively disintegrated into smaller fragments resulting in an enrichment in the fine fraction. Raman images reveal that: small coesite inclusions of dimension < 9 µm are primarily monomineralic, whereas larger inclusions partially transformed to quartz; and garnet fracturing, fluid infiltration and the coesite-to-quartz transformation is a late process during exhumation taking place at c.  330°C. A model for the disintegration of coesite-bearing garnet enables the heterogeneous grain-size distribution to be explained by inclusion frequency. High abundances of coesite inclusions cause a high degree of fracturing and fracture connections to smaller inclusions, allowing fluid infiltration and the transformation to quartz, which in turn further promotes garnet disintegration."],["dc.identifier.doi","10.1017/S0016756821000017"],["dc.identifier.pii","S0016756821000017"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/88298"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-448"],["dc.relation.eissn","1469-5081"],["dc.relation.issn","0016-7568"],["dc.relation.orgunit","Geowissenschaftliches Zentrum"],["dc.rights","CC BY 4.0"],["dc.title","Life-cycle analysis of coesite-bearing garnet"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","715"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","Geology"],["dc.bibliographiccitation.lastpage","718"],["dc.bibliographiccitation.volume","47"],["dc.contributor.author","Schönig, Jan"],["dc.contributor.author","von Eynatten, Hilmar"],["dc.contributor.author","Meinhold, Guido"],["dc.contributor.author","Lünsdorf, N. Keno"],["dc.date.accessioned","2020-12-10T18:37:08Z"],["dc.date.available","2020-12-10T18:37:08Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1130/G46253.1"],["dc.identifier.issn","0091-7613"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/76852"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Diamond and coesite inclusions in detrital garnet of the Saxonian Erzgebirge, Germany"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","S0012825222000691"],["dc.bibliographiccitation.firstpage","103985"],["dc.bibliographiccitation.journal","Earth-Science Reviews"],["dc.bibliographiccitation.volume","227"],["dc.contributor.author","Schönig, Jan"],["dc.contributor.author","von Eynatten, Hilmar"],["dc.contributor.author","Meinhold, Guido"],["dc.contributor.author","Lünsdorf, Nils Keno"],["dc.date.accessioned","2022-06-01T09:40:13Z"],["dc.date.available","2022-06-01T09:40:13Z"],["dc.date.issued","2022"],["dc.description.sponsorship"," German Research Foundation"],["dc.identifier.doi","10.1016/j.earscirev.2022.103985"],["dc.identifier.pii","S0012825222000691"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/108669"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-572"],["dc.relation.issn","0012-8252"],["dc.rights.uri","https://www.elsevier.com/tdm/userlicense/1.0/"],["dc.title","The sedimentary record of ultrahigh-pressure metamorphism: a perspective review"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","5"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Contributions to Mineralogy and Petrology"],["dc.bibliographiccitation.volume","177"],["dc.contributor.author","Schönig, Jan"],["dc.contributor.author","von Eynatten, Hilmar"],["dc.contributor.author","Tolosana-Delgado, Raimon"],["dc.contributor.author","Meinhold, Guido"],["dc.date.accessioned","2022-01-11T14:05:25Z"],["dc.date.available","2022-01-11T14:05:25Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1007/s00410-021-01873-7"],["dc.identifier.pii","1873"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/97660"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-507"],["dc.relation.eissn","1432-0967"],["dc.relation.iserratumof","/handle/2/94400"],["dc.relation.issn","0010-7999"],["dc.title","Correction to: Garnet major-element composition as an indicator of host-rock type: a machine learning approach using the random forest classifier"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","erratum_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","98"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","Contributions to Mineralogy and Petrology"],["dc.bibliographiccitation.volume","176"],["dc.contributor.author","Schönig, Jan"],["dc.contributor.author","von Eynatten, Hilmar"],["dc.contributor.author","Tolosana-Delgado, Raimon"],["dc.contributor.author","Meinhold, Guido"],["dc.date.accessioned","2021-12-01T09:22:25Z"],["dc.date.available","2021-12-01T09:22:25Z"],["dc.date.issued","2021"],["dc.description.abstract","Abstract The major-element chemical composition of garnet provides valuable petrogenetic information, particularly in metamorphic rocks. When facing detrital garnet, information about the bulk-rock composition and mineral paragenesis of the initial garnet-bearing host-rock is absent. This prevents the application of chemical thermo-barometric techniques and calls for quantitative empirical approaches. Here we present a garnet host-rock discrimination scheme that is based on a random forest machine-learning algorithm trained on a large dataset of 13,615 chemical analyses of garnet that covers a wide variety of garnet-bearing lithologies. Considering the out-of-bag error, the scheme correctly predicts the original garnet host-rock in (i) > 95% concerning the setting, that is either mantle, metamorphic, igneous, or metasomatic; (ii) > 84% concerning the metamorphic facies, that is either blueschist/greenschist, amphibolite, granulite, or eclogite/ultrahigh-pressure; and (iii) > 93% concerning the host-rock bulk composition, that is either intermediate–felsic/metasedimentary, mafic, ultramafic, alkaline, or calc–silicate. The wide coverage of potential host rocks, the detailed prediction classes, the high discrimination rates, and the successfully tested real-case applications demonstrate that the introduced scheme overcomes many issues related to previous schemes. This highlights the potential of transferring the applied discrimination strategy to the broad range of detrital minerals beyond garnet. For easy and quick usage, a freely accessible web app is provided that guides the user in five steps from garnet composition to prediction results including data visualization."],["dc.description.abstract","Abstract The major-element chemical composition of garnet provides valuable petrogenetic information, particularly in metamorphic rocks. When facing detrital garnet, information about the bulk-rock composition and mineral paragenesis of the initial garnet-bearing host-rock is absent. This prevents the application of chemical thermo-barometric techniques and calls for quantitative empirical approaches. Here we present a garnet host-rock discrimination scheme that is based on a random forest machine-learning algorithm trained on a large dataset of 13,615 chemical analyses of garnet that covers a wide variety of garnet-bearing lithologies. Considering the out-of-bag error, the scheme correctly predicts the original garnet host-rock in (i) > 95% concerning the setting, that is either mantle, metamorphic, igneous, or metasomatic; (ii) > 84% concerning the metamorphic facies, that is either blueschist/greenschist, amphibolite, granulite, or eclogite/ultrahigh-pressure; and (iii) > 93% concerning the host-rock bulk composition, that is either intermediate–felsic/metasedimentary, mafic, ultramafic, alkaline, or calc–silicate. The wide coverage of potential host rocks, the detailed prediction classes, the high discrimination rates, and the successfully tested real-case applications demonstrate that the introduced scheme overcomes many issues related to previous schemes. This highlights the potential of transferring the applied discrimination strategy to the broad range of detrital minerals beyond garnet. For easy and quick usage, a freely accessible web app is provided that guides the user in five steps from garnet composition to prediction results including data visualization."],["dc.identifier.doi","10.1007/s00410-021-01854-w"],["dc.identifier.pii","1854"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/94400"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-478"],["dc.relation.eissn","1432-0967"],["dc.relation.haserratum","/handle/2/97660"],["dc.relation.issn","0010-7999"],["dc.title","Garnet major-element composition as an indicator of host-rock type: a machine learning approach using the random forest classifier"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Scientific Reports"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Schönig, Jan"],["dc.contributor.author","Meinhold, Guido"],["dc.contributor.author","von Eynatten, Hilmar"],["dc.contributor.author","Lünsdorf, Nils K."],["dc.date.accessioned","2020-12-10T18:10:09Z"],["dc.date.available","2020-12-10T18:10:09Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1038/s41598-018-21262-8"],["dc.identifier.eissn","2045-2322"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15417"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/73864"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.relation.orgunit","Fakultät für Geowissenschaften und Geographie"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Tracing ultrahigh-pressure metamorphism at the catchment scale"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]