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Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach
Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach
Mar 9, 2021
Cheng, Lilu, 2021, "Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach", https://doi.org/10.21979/N9/VXUWJQ, DR-NTU (Data), V1, UNF:6:EPESwHQsve2zo8U/AVvxlQ== [fileUNF]
This data set includes data, scripts, and other contents related to the paper "Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach"
100idealsection.ai
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
Postscript - 1.1 MB - MD5: a59a516f07a75b33e718afc853f342da
100idealsection.jpg
100idealsection.jpg
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
JPEG Image - 898.5 KB - MD5: bcbb6141399bfff21135acec027bd054
10.tif
10.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 - 74.3 KB - MD5: a23466b488967ddac380e7c376308f05
111111.tif
111111.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 - 386.3 KB - MD5: 677a032c9d3db0225065d19e174f12eb
1-1-2-100idealsection.tif
1-1-2-100idealsection.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 - 13.2 MB - MD5: e758d3ad29d1d501ed8223641f6657cd
1-1.tif
1-1.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 - 72.0 KB - MD5: b653a78c18ab4a370f558aa4f7391000
11.tif
11.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 - 69.1 KB - MD5: c54934fb48ccbd67b20c206ebfed2183
1-2.tif
1-2.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 - 116.7 KB - MD5: cef7cbdecba1b54d0454500ecfd1139e
12.tif
12.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 - 80.0 KB - MD5: fb3bc7710ebffe40056a28902fb287a9
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