Cheng Lilu

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31 to 40 of 180 Results

4.tif Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach TIFF Image - 81.9 KB - MD5: 9c27fd4adce0bee7e5edb026c715e5ef
5-1.tif Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach TIFF Image - 230.6 KB - MD5: f5d408d345c16b665b27e11b1d3fda88
5.tif Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach TIFF Image - 69.3 KB - MD5: 80376f208ab683cec2705e1acbce59e1
6.tif Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach TIFF Image - 73.0 KB - MD5: e71050776418a940ea169b9aba87b8b8
7.tif Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach TIFF Image - 95.3 KB - MD5: 943c272c432cd412d0efe8fbe129bf6b
8.tif Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach TIFF Image - 81.9 KB - MD5: 72797c67f7d91c83819ee69a00068855
9.tif Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach TIFF Image - 74.6 KB - MD5: 70115b99cd5494944b34ae8f7260358b
ana_compo.m Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach MATLAB Source Code - 1013 B - MD5: 8348faa767e8abe69aeaea8bf3be1007
ana_profile.m Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach MATLAB Source Code - 2.6 KB - MD5: 023dfa1ae7ca88bc93e9ab409a16712a
an_area.m Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach MATLAB Source Code - 213 B - MD5: 4ac7f8b1d199ad589effbde9b79079fa

4.tif

Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach

TIFF Image - 81.9 KB -

5-1.tif

Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach

TIFF Image - 230.6 KB -

5.tif

Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach

TIFF Image - 69.3 KB -

6.tif

Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach

TIFF Image - 73.0 KB -