Internal defect database of mechanically deformed ferritic steel via X-ray computed tomography
Data files
Sep 30, 2025 version files 195.47 GB
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All_in_one_table.xlsx
90.58 KB
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Fatigue_1.zip
5.43 GB
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Fatigue_10.zip
7.85 GB
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Fatigue_11.zip
7.81 GB
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Fatigue_12.zip
1.35 GB
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Fatigue_13.zip
6.71 GB
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Fatigue_14.zip
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Fatigue_15.zip
1.41 GB
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Fatigue_16.zip
5.46 GB
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Fatigue_17.zip
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Fatigue_18.zip
1.31 GB
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Fatigue_19.zip
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Fatigue_2.zip
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Fatigue_20.zip
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Fatigue_21.zip
1.33 GB
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Fatigue_22.zip
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Fatigue_23.zip
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Fatigue_24.zip
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Fatigue_25.zip
2.52 GB
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Fatigue_26.zip
2.51 GB
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Fatigue_27.zip
1.36 GB
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Fatigue_28.zip
2.70 GB
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Fatigue_29.zip
1.36 GB
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Fatigue_3.zip
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Fatigue_30.zip
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Fatigue_31.zip
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Fatigue_32.zip
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Fatigue_33.zip
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Fatigue_34.zip
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Fatigue_35.zip
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Fatigue_36.zip
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Fatigue_37.zip
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Fatigue_38.zip
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Fatigue_39.zip
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Fatigue_4.zip
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Fatigue_40.zip
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Fatigue_41.zip
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Fatigue_42.zip
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Fatigue_43.zip
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Fatigue_45.zip
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Fatigue_49.zip
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Fatigue_5.zip
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Fatigue_50.zip
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Fatigue_51.zip
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Fatigue_52.zip
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Fatigue_53.zip
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Fatigue_54.zip
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Fatigue_55.zip
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Fatigue_56.zip
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Fatigue_57.zip
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Fatigue_58.zip
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Fatigue_59.zip
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Fatigue_6.zip
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Fatigue_60.zip
1.34 GB
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Fatigue_61.zip
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Fatigue_62.zip
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Fatigue_63.zip
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Fatigue_64.zip
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Fatigue_66.zip
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Fatigue_67.zip
1.34 GB
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Fatigue_68.zip
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Fatigue_69.zip
1.33 GB
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Fatigue_7.zip
6.79 GB
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Fatigue_70.zip
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Fatigue_8.zip
7.85 GB
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Fatigue_9.zip
8.03 GB
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README.md
3.44 KB
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Tensile_1.zip
250.67 MB
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Tensile_10.zip
172.17 MB
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Tensile_11.zip
182.31 MB
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Tensile_12.zip
192.73 MB
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Tensile_13.zip
139.94 MB
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Tensile_14.zip
182.20 MB
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Tensile_15.zip
114.30 MB
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Tensile_16.zip
194.86 MB
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Tensile_17.zip
132.45 MB
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Tensile_18.zip
169.71 MB
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Tensile_19.zip
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Tensile_2.zip
361.42 MB
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Tensile_20.zip
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Tensile_21.zip
181.40 MB
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Tensile_22.zip
180.37 MB
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Tensile_23.zip
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Tensile_24.zip
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Tensile_25.zip
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Tensile_26.zip
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Tensile_27.zip
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Tensile_28_29.zip
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Tensile_3.zip
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Tensile_4.zip
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Tensile_5.zip
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Tensile_6.zip
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Tensile_7.zip
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Tensile_8.zip
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Tensile_9.zip
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Abstract
Steel is widely utilized as a structural material due to its favorable mechanical properties, cost-effectiveness, and reliability, and it is expected to remain critical in engineering applications. The properties and durability of steel are significantly influenced by internal defects formed during mechanical deformation. Quantitative analysis of the formation and evolution of these defects is essential for developing materials that are both sustainable and tailored to specific applications. However, acquiring statistically meaningful datasets of internal defects is complex, time-consuming, and costly, resulting in a scarcity of comprehensive studies. In this study, we present two comprehensive datasets obtained from mechanically deformed ferritic steel samples using X-ray computed tomography (X-CT): (1) tensile deformation and (2) fatigue deformation. The database includes detailed quantitative descriptions of 938 defect features from 135 tensile-tested samples and 2,305 defect features from 152 fatigue-tested samples. Each dataset comprises high-resolution X-CT images and quantified internal defect metrics, facilitating detailed statistical analysis.
This dataset provides high-resolution X-ray computed tomography (X-CT) images obtained from tensile and fatigue tests, along with internal defect information extracted through Persistent Homology analysis. The dataset consists of the following components:
TensilefolderFatiguefolderAll_in_one_table.xlsx(summary table of all defect information)
Data Structure
Each folder is organized and uploaded according to the Sample Number in All_in_one_table.xlsx, and each sample contains subfolders with data corresponding to the IDs. For example, Fatigue_1.zip includes the data for IDs 1, 2, 3, and 4, which correspond to Sample Number 1 of Fatigue sheet in All_in_one_table.xlsx. The following example illustrates the structure of a Sample Number folder and its subfolders.
Fatigue_1/
└── ID_1/
├── 3d/ # 3D visualization data
├── raw/ # Original X-CT images
├── window_leveling/ # Processed X-CT images
├── Birth Histogram.jpg # Histograms of defect sizes
└── Lifetime Histogram.jpg # Histograms of inter-defect distances
All-in-one Excel Table
The All-in-one Excel file contains two sheets: Tensile and Fatigue, each providing detailed defect-related and experimental data extracted from X-CT images using Persistent Homology.
Tensile Sheet
This sheet summarizes local strain and internal defect characteristics from tensile testing. Each row corresponds to a specific part of a specimen.
- Sample number / ID / Parts: Sample-level identifiers
- Local strain: Measured via Digital Image Correlation (DIC)
- Defect size and density: Number of voids per mm³ in the following ranges:
- 0–3 (/mm³)
- 3–6 (/mm³)
- > 6 (/mm³)
- Void distribution:
- D – Average inter-defect distance (μm)
- V – Standard deviation or spread of defect distances
Fatigue Sheet
This sheet contains interrupted fatigue testing results, allowing analysis of fracture progression and crack-related characteristics.
- Sample ID / Stress (MPa): Basic test settings
- Interrupted point (cycles): Cycle count where test was paused
- Fractured point (cycles): Total cycles until failure
- Fracture progress (%): Progression toward final fracture
- Crack information:
- Presence (Yes/No)
- Count / Density / Shape
- Thickness (mm) / Depth (mm) / Volume (mm³) (when available)
- T-grade (Thickness grade): Classification of crack thickness
- 0–0.15 mm → Grade 1
- 0.15–0.30 mm → Grade 2
- 0.30–0.45 mm → Grade 3
- D-grade (Depth grade): Classification of crack depth
- 0–0.30 mm → Grade 1
- 0.30–0.60 mm → Grade 2
- 0.60–0.90 mm → Grade 3
- Void density: Voids per mm³ in:
- 0–12 (/mm³)
- 12–24 (/mm³)
- Defect distribution:
- Average inter-defect distance (μm)
- Heterogeneity (μm) – variation in spacing
Experimental Overview
- Tensile Data
Collected after tensile testing using Digital Image Correlation (DIC) equipment, providing localized strain measurements. - Fatigue Data
Collected after interrupted fatigue tests, allowing multiple stages of crack propagation to be captured within a specimen.
Tensile testing
The tests were conducted at room temperature with a strain rate of 10-3 s-1, and local strains of the specimens were measured using a digital image correlation (DIC) instrument. X-CT scanning was performed using a ZEISS Xradia 520 Versa with the following conditions: 160 kV output voltage, 10 W power, and 3 μm step size. Internal topology data of deformed specimens were obtained by scanning areas of 3×3×33 mm3 located 3 mm away from the fracture surface of fractured specimens. The acquired data was divided into 3-5 regions.
Fatigue testing
The tests were conducted with an r-ratio of 0.1 and a maximum stress amplitude range of 630-680 MPa. X-CT scanning was performed on a 3×x3×x3 mm3 area at the center of the gauge of the specimen after interrupting the test at a specific cycle. The same conditions were used as in the tensile case, except for the measurement area. After that, an additional fatigue test was conducted, and X-CT scanning was performed again. This process was repeated until the specimen was destroyed.
TDA analysis
Persistent homology (PH) processing was used to provide information about defect density, defect size, and homogeneity of defects.
- Lee, Gunjick; Yi, Gyeong Hoon; Tiong, Leslie Ching Ow et al. (2025). Internal defect database of mechanically deformed ferritic steel via X-ray computed tomography. Scientific Data. https://doi.org/10.1038/s41597-025-06141-y
