Published August 17, 2023 | Version v1
Dataset Open

Dataset for "Computer vision assisted decomposition analysis of atom probe tomography data"

  • 1. Materials Chemistry, RWTH Aachen University, Kopernikusstr. 10, D-52074 Aachen, Germany

Description

Dataset for the article "Computer vision assisted decomposition analysis of atom probe tomography data". APT measurements were performed by Marcus Hans at Materials Chemistry (RWTH Aachen University) using a CAMECA LEAP 4000X HR. Training data was created by Janis A. Sälker.

Content:

- 13 (V,Al)N and 3 (Ti,Al)N APT reconstructions (.epos file format) and the corresponding range file (.rrng file format).

- Training data (images & masks) for 9 labeled (V,Al)N APT samples (h5 file format). Image data with key "image" of shape (2, number_of_slices, 608, 192), where 2 corresponds to the V- and Al-contribution/channel and 608/192 to the height/width of the images. Masks/labels with key "label" of shape (number_of_slices, 608, 192)

 

Files

TiAlN_film_cross-section_1200C.zip

Files (15.3 GB)

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md5:92eada6e9dd3c8fa177352d870744871
437.9 MB Preview Download
md5:2eb6dcbe16f942670f6038fc6812f22f
756.3 MB Preview Download
md5:f2ef8cb520e19fa4f7c4d9e26a0f8c6c
2.1 GB Preview Download
md5:71fece3006d76235ba5e95b1be0a3cbb
774.0 MB Preview Download
md5:9f78c7a973abaea6bc9728af8415499b
838.8 MB Preview Download
md5:53b1c043333a3aa04f6ea26617e67e49
844.9 MB Preview Download
md5:12c9d06a0b95c7f1024a6f96e8efb96b
831.7 MB Preview Download
md5:92fffdc7331c1c7c2a1f6e1588bfc367
840.2 MB Preview Download
md5:6c621e61cc6fd0104cb6ba1cf35d6d3c
821.0 MB Preview Download
md5:e0614fe2e4a3acae4d39ca512b34eab4
1.1 GB Preview Download
md5:038d28f6e7438e5c8a837c99fc062c37
1.4 GB Preview Download
md5:ced5479f520794a7265839ec3e777d47
1.3 GB Preview Download
md5:a89d121fc9ef5b7c06e2bccc7c18926b
350.0 MB Preview Download
md5:8a603ef4ae3b953f4a428be504656b99
1.8 GB Preview Download
md5:5b1a5e5d5366e3093a30619c15be259d
296.9 MB Preview Download
md5:fe70945980d46267af3755fc7f3126e1
722.0 MB Preview Download
md5:63c4b1d9f17d10ddbcf630430aa929c4
78.7 MB Preview Download

Additional details

Related works

Is supplement to
Journal article: 10.1088/1361-6463/ace9e3 (DOI)