Cheng Lilu

For more information, visit webpage

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

21 to 30 of 183 Results

2-2.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 - 73.3 KB - MD5: 86ff98b8dabb30f7b6076d7617158100
2-edge.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 - 336.2 KB - MD5: c195d6905fa4bb9da2d9e72c890dccf4
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 - 254.5 KB - MD5: 5fc1ebc03108d4a167d36f1a4130a8b2
2-touched-edge.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 - 636.5 KB - MD5: 3790bbfcf8e463023fcea4b98b142fc9
2-touched.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 - 327.2 KB - MD5: a0cece2ff67188b4a77bfbc18bd7f50c
3.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 - 75.7 KB - MD5: 92950779b924a92de50753bf66293d89
400-rimdi-200profile.mat 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 Data - 3.3 MB - MD5: 55e8adfe67b0626f1484f259e526c108
400-rimgao-200profiles.mat 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 Data - 3.6 MB - MD5: c61cf650203f0f87cab3fa1b06df2706
4-1.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 - 168.5 KB - MD5: 414980ddd813c0a176c1ecebdd59db9d
4-edge.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 - 304.8 KB - MD5: 48dac769b2752ed2a20f4461f77f7672

2-2.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 - 73.3 KB -

2-edge.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 - 336.2 KB -

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 - 254.5 KB -

2-touched-edge.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 - 636.5 KB -