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Dataset for the paper "Deep learning-based reconstruction of irregular laser ablation crater geometry from single plasma projection"

Dataset for the paper "Deep learning-based reconstruction of irregular laser ablation crater geometry from single plasma projection"
Dataset for the paper "Deep learning-based reconstruction of irregular laser ablation crater geometry from single plasma projection"
This dataset supports the publication 'Deep learning-based reconstruction of irregular laser ablation crater geometry from single plasma projection' in the journal: IOP - Machine Learning: Engineering The parent folder 'dataset' includes 2 main folders, one for Figures and one for Numerical Data: 1. Figures This folder includes all the figures inside the publication, which named in "'figure 1.png', 'figure 2.png', 'figure 3.png', 'figure 4.png','figure 5.png', 'figure 6.png', 'figure 7.png', 'figure 8.png'". The graphics denoted as SI figure 1 to SI figure 6 cited within the supplementary materials of the scholarly publication, are accessible under the file name "'SI figure 1.png', 'SI figure 2.png', 'SI figure 3.png', 'SI figure 4.png', 'SI figure 5.png', 'SI figure 6.png'". 2. Numerical data This folder includes two sub-folders named in "'SM Table 1', 'SM Table 2'", which including each corresponding .csv file for the tables in the supplementary file. (a) In 'SM Table 1', there is one CSV file in the folder, with the same name of the folder. - The shape of 'SM Table 1' is (61,4), containing 3 columns, which indicate the number of layer used in generator, image layer, image properties and specification of the layer. (b) In 'SM Table 2', there is one CSV file in the folder, with the same name of the folder. - The shape of 'SM Table 2' is (13,4), containing 3 columns, which indicate the number of layer used in discriminator, image layer, image properties and specification of the layer. -------------------------- METHODOLOGICAL INFORMATION -------------------------- The detailed methods used for collection and generation of data are demonstrated in "Deep learning-based reconstruction of irregular laser ablation crater geometry from single plasma projection". -------------------------- DATA-SPECIFIC INFORMATION <Create sections for each datafile or set, as appropriate> -------------------------- Specific information for each figure was demonstrated in "Deep learning-based reconstruction of irregular laser ablation crater geometry from single plasma projection".
University of Southampton
Liu, Yuchen
1efd4b12-3f11-4eb1-abea-0f5b40a1a9f1
Chernikov, Fedor
a5a56a14-d8cf-4a11-8946-dbb145dbda91
Grant-Jacob, James A.
c5d144d8-3c43-4195-8e80-edd96bfda91b
Xie, Yunhui
c30c579e-365e-4b11-b50c-89f12a7ca807
Zervas, Michalis
1840a474-dd50-4a55-ab74-6f086aa3f701
Mills, Ben
05f1886e-96ef-420f-b856-4115f4ab36d0
Liu, Yuchen
1efd4b12-3f11-4eb1-abea-0f5b40a1a9f1
Chernikov, Fedor
a5a56a14-d8cf-4a11-8946-dbb145dbda91
Grant-Jacob, James A.
c5d144d8-3c43-4195-8e80-edd96bfda91b
Xie, Yunhui
c30c579e-365e-4b11-b50c-89f12a7ca807
Zervas, Michalis
1840a474-dd50-4a55-ab74-6f086aa3f701
Mills, Ben
05f1886e-96ef-420f-b856-4115f4ab36d0

Liu, Yuchen (2025) Dataset for the paper "Deep learning-based reconstruction of irregular laser ablation crater geometry from single plasma projection". University of Southampton doi:10.5258/SOTON/D3680 [Dataset]

Record type: Dataset

Abstract

This dataset supports the publication 'Deep learning-based reconstruction of irregular laser ablation crater geometry from single plasma projection' in the journal: IOP - Machine Learning: Engineering The parent folder 'dataset' includes 2 main folders, one for Figures and one for Numerical Data: 1. Figures This folder includes all the figures inside the publication, which named in "'figure 1.png', 'figure 2.png', 'figure 3.png', 'figure 4.png','figure 5.png', 'figure 6.png', 'figure 7.png', 'figure 8.png'". The graphics denoted as SI figure 1 to SI figure 6 cited within the supplementary materials of the scholarly publication, are accessible under the file name "'SI figure 1.png', 'SI figure 2.png', 'SI figure 3.png', 'SI figure 4.png', 'SI figure 5.png', 'SI figure 6.png'". 2. Numerical data This folder includes two sub-folders named in "'SM Table 1', 'SM Table 2'", which including each corresponding .csv file for the tables in the supplementary file. (a) In 'SM Table 1', there is one CSV file in the folder, with the same name of the folder. - The shape of 'SM Table 1' is (61,4), containing 3 columns, which indicate the number of layer used in generator, image layer, image properties and specification of the layer. (b) In 'SM Table 2', there is one CSV file in the folder, with the same name of the folder. - The shape of 'SM Table 2' is (13,4), containing 3 columns, which indicate the number of layer used in discriminator, image layer, image properties and specification of the layer. -------------------------- METHODOLOGICAL INFORMATION -------------------------- The detailed methods used for collection and generation of data are demonstrated in "Deep learning-based reconstruction of irregular laser ablation crater geometry from single plasma projection". -------------------------- DATA-SPECIFIC INFORMATION <Create sections for each datafile or set, as appropriate> -------------------------- Specific information for each figure was demonstrated in "Deep learning-based reconstruction of irregular laser ablation crater geometry from single plasma projection".

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dataset.zip - Dataset
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README.txt - Dataset
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Published date: 2025

Identifiers

Local EPrints ID: 510868
URI: http://eprints.soton.ac.uk/id/eprint/510868
PURE UUID: e95da523-dc06-4d47-8f26-83a041fc3d4a
ORCID for Yuchen Liu: ORCID iD orcid.org/0009-0008-3636-1779
ORCID for James A. Grant-Jacob: ORCID iD orcid.org/0000-0002-4270-4247
ORCID for Yunhui Xie: ORCID iD orcid.org/0000-0002-8841-7235
ORCID for Michalis Zervas: ORCID iD orcid.org/0000-0002-0651-4059
ORCID for Ben Mills: ORCID iD orcid.org/0000-0002-1784-1012

Catalogue record

Date deposited: 23 Apr 2026 16:40
Last modified: 24 Apr 2026 02:16

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Contributors

Creator: Yuchen Liu ORCID iD
Contributor: Fedor Chernikov
Contributor: James A. Grant-Jacob ORCID iD
Contributor: Yunhui Xie ORCID iD
Funder: Michalis Zervas ORCID iD
Contributor: Ben Mills ORCID iD

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