Datasets:
structure large_stringclasses 2
values | climate large_stringclasses 2
values | coating large_stringclasses 4
values | design_life_years float64 10 40 | anode_mass_kg float64 2.12k 50.8k | anode_count int64 11 254 | current_mean_a float64 43.6 261 | current_final_a float64 53 312 |
|---|---|---|---|---|---|---|---|
4-leg jacket | temperate | bare | 10 | 12,692.3 | 64 | 260.8 | 312.4 |
4-leg jacket | temperate | bare | 15 | 19,038.4 | 96 | 260.8 | 312.4 |
4-leg jacket | temperate | bare | 20 | 25,384.5 | 127 | 260.8 | 312.4 |
4-leg jacket | temperate | bare | 25 | 31,730.7 | 159 | 260.8 | 312.4 |
4-leg jacket | temperate | bare | 30 | 38,076.8 | 191 | 260.8 | 312.4 |
4-leg jacket | temperate | bare | 35 | 44,422.9 | 223 | 260.8 | 312.4 |
4-leg jacket | temperate | bare | 40 | 50,769.1 | 254 | 260.8 | 312.4 |
4-leg jacket | temperate | aged-coating | 10 | 11,898 | 60 | 244.48 | 292.6 |
4-leg jacket | temperate | aged-coating | 15 | 17,847 | 90 | 244.48 | 292.6 |
4-leg jacket | temperate | aged-coating | 20 | 23,796 | 119 | 244.48 | 292.6 |
4-leg jacket | temperate | aged-coating | 25 | 29,745.1 | 149 | 244.48 | 292.6 |
4-leg jacket | temperate | aged-coating | 30 | 35,694.1 | 179 | 244.48 | 292.6 |
4-leg jacket | temperate | aged-coating | 35 | 41,643.1 | 209 | 244.48 | 292.6 |
4-leg jacket | temperate | aged-coating | 40 | 47,592.1 | 238 | 244.48 | 292.6 |
4-leg jacket | temperate | good-coating | 10 | 11,103.8 | 56 | 228.16 | 272.8 |
4-leg jacket | temperate | good-coating | 15 | 16,655.7 | 84 | 228.16 | 272.8 |
4-leg jacket | temperate | good-coating | 20 | 22,207.6 | 112 | 228.16 | 272.8 |
4-leg jacket | temperate | good-coating | 25 | 27,759.5 | 139 | 228.16 | 272.8 |
4-leg jacket | temperate | good-coating | 30 | 33,311.4 | 167 | 228.16 | 272.8 |
4-leg jacket | temperate | good-coating | 35 | 38,863.2 | 195 | 228.16 | 272.8 |
4-leg jacket | temperate | good-coating | 40 | 44,415.2 | 223 | 228.16 | 272.8 |
4-leg jacket | temperate | premium-coating | 10 | 7,424.6 | 38 | 152.56 | 181.9 |
4-leg jacket | temperate | premium-coating | 15 | 11,136.9 | 56 | 152.56 | 181.9 |
4-leg jacket | temperate | premium-coating | 20 | 14,849.2 | 75 | 152.56 | 181.9 |
4-leg jacket | temperate | premium-coating | 25 | 18,561.5 | 93 | 152.56 | 181.9 |
4-leg jacket | temperate | premium-coating | 30 | 22,273.8 | 112 | 152.56 | 181.9 |
4-leg jacket | temperate | premium-coating | 35 | 25,986 | 130 | 152.56 | 181.9 |
4-leg jacket | temperate | premium-coating | 40 | 29,698.3 | 149 | 152.56 | 181.9 |
4-leg jacket | tropical | bare | 10 | 9,013.1 | 46 | 185.2 | 236.8 |
4-leg jacket | tropical | bare | 15 | 13,519.6 | 68 | 185.2 | 236.8 |
4-leg jacket | tropical | bare | 20 | 18,026.1 | 91 | 185.2 | 236.8 |
4-leg jacket | tropical | bare | 25 | 22,532.7 | 113 | 185.2 | 236.8 |
4-leg jacket | tropical | bare | 30 | 27,039.2 | 136 | 185.2 | 236.8 |
4-leg jacket | tropical | bare | 35 | 31,545.7 | 158 | 185.2 | 236.8 |
4-leg jacket | tropical | bare | 40 | 36,052.3 | 181 | 185.2 | 236.8 |
4-leg jacket | tropical | aged-coating | 10 | 8,446.6 | 43 | 173.56 | 221.68 |
4-leg jacket | tropical | aged-coating | 15 | 12,669.9 | 64 | 173.56 | 221.68 |
4-leg jacket | tropical | aged-coating | 20 | 16,893.2 | 85 | 173.56 | 221.68 |
4-leg jacket | tropical | aged-coating | 25 | 21,116.5 | 106 | 173.56 | 221.68 |
4-leg jacket | tropical | aged-coating | 30 | 25,339.8 | 127 | 173.56 | 221.68 |
4-leg jacket | tropical | aged-coating | 35 | 29,563 | 148 | 173.56 | 221.68 |
4-leg jacket | tropical | aged-coating | 40 | 33,786.3 | 169 | 173.56 | 221.68 |
4-leg jacket | tropical | good-coating | 10 | 7,880.1 | 40 | 161.92 | 206.56 |
4-leg jacket | tropical | good-coating | 15 | 11,820.2 | 60 | 161.92 | 206.56 |
4-leg jacket | tropical | good-coating | 20 | 15,760.2 | 79 | 161.92 | 206.56 |
4-leg jacket | tropical | good-coating | 25 | 19,700.3 | 99 | 161.92 | 206.56 |
4-leg jacket | tropical | good-coating | 30 | 23,640.3 | 119 | 161.92 | 206.56 |
4-leg jacket | tropical | good-coating | 35 | 27,580.4 | 138 | 161.92 | 206.56 |
4-leg jacket | tropical | good-coating | 40 | 31,520.4 | 158 | 161.92 | 206.56 |
4-leg jacket | tropical | premium-coating | 10 | 5,295.9 | 27 | 108.82 | 138.16 |
4-leg jacket | tropical | premium-coating | 15 | 7,943.9 | 40 | 108.82 | 138.16 |
4-leg jacket | tropical | premium-coating | 20 | 10,591.8 | 53 | 108.82 | 138.16 |
4-leg jacket | tropical | premium-coating | 25 | 13,239.8 | 67 | 108.82 | 138.16 |
4-leg jacket | tropical | premium-coating | 30 | 15,887.7 | 80 | 108.82 | 138.16 |
4-leg jacket | tropical | premium-coating | 35 | 18,535.7 | 93 | 108.82 | 138.16 |
4-leg jacket | tropical | premium-coating | 40 | 21,183.6 | 106 | 108.82 | 138.16 |
XL monopile | temperate | bare | 10 | 4,594.1 | 23 | 94.4 | 111.5 |
XL monopile | temperate | bare | 15 | 6,891.2 | 35 | 94.4 | 111.5 |
XL monopile | temperate | bare | 20 | 9,188.3 | 46 | 94.4 | 111.5 |
XL monopile | temperate | bare | 25 | 11,485.3 | 58 | 94.4 | 111.5 |
XL monopile | temperate | bare | 30 | 13,782.4 | 69 | 94.4 | 111.5 |
XL monopile | temperate | bare | 35 | 16,079.5 | 81 | 94.4 | 111.5 |
XL monopile | temperate | bare | 40 | 18,376.5 | 92 | 94.4 | 111.5 |
XL monopile | temperate | aged-coating | 10 | 4,298.2 | 22 | 88.32 | 104.09 |
XL monopile | temperate | aged-coating | 15 | 6,447.4 | 33 | 88.32 | 104.09 |
XL monopile | temperate | aged-coating | 20 | 8,596.5 | 43 | 88.32 | 104.09 |
XL monopile | temperate | aged-coating | 25 | 10,745.6 | 54 | 88.32 | 104.09 |
XL monopile | temperate | aged-coating | 30 | 12,894.7 | 65 | 88.32 | 104.09 |
XL monopile | temperate | aged-coating | 35 | 15,043.8 | 76 | 88.32 | 104.09 |
XL monopile | temperate | aged-coating | 40 | 17,193 | 86 | 88.32 | 104.09 |
XL monopile | temperate | good-coating | 10 | 4,002.3 | 21 | 82.24 | 96.68 |
XL monopile | temperate | good-coating | 15 | 6,003.5 | 31 | 82.24 | 96.68 |
XL monopile | temperate | good-coating | 20 | 8,004.7 | 41 | 82.24 | 96.68 |
XL monopile | temperate | good-coating | 25 | 10,005.9 | 51 | 82.24 | 96.68 |
XL monopile | temperate | good-coating | 30 | 12,007 | 61 | 82.24 | 96.68 |
XL monopile | temperate | good-coating | 35 | 14,008.2 | 71 | 82.24 | 96.68 |
XL monopile | temperate | good-coating | 40 | 16,009.4 | 81 | 82.24 | 96.68 |
XL monopile | temperate | premium-coating | 10 | 2,800.3 | 15 | 57.54 | 66.94 |
XL monopile | temperate | premium-coating | 15 | 4,200.4 | 22 | 57.54 | 66.94 |
XL monopile | temperate | premium-coating | 20 | 5,600.6 | 29 | 57.54 | 66.94 |
XL monopile | temperate | premium-coating | 25 | 7,000.7 | 36 | 57.54 | 66.94 |
XL monopile | temperate | premium-coating | 30 | 8,400.8 | 43 | 57.54 | 66.94 |
XL monopile | temperate | premium-coating | 35 | 9,801 | 50 | 57.54 | 66.94 |
XL monopile | temperate | premium-coating | 40 | 11,201.1 | 57 | 57.54 | 66.94 |
XL monopile | tropical | bare | 10 | 3,392.1 | 17 | 69.7 | 86.8 |
XL monopile | tropical | bare | 15 | 5,088.1 | 26 | 69.7 | 86.8 |
XL monopile | tropical | bare | 20 | 6,784.1 | 34 | 69.7 | 86.8 |
XL monopile | tropical | bare | 25 | 8,480.2 | 43 | 69.7 | 86.8 |
XL monopile | tropical | bare | 30 | 10,176.2 | 51 | 69.7 | 86.8 |
XL monopile | tropical | bare | 35 | 11,872.2 | 60 | 69.7 | 86.8 |
XL monopile | tropical | bare | 40 | 13,568.3 | 68 | 69.7 | 86.8 |
XL monopile | tropical | aged-coating | 10 | 3,179.4 | 16 | 65.33 | 81.1 |
XL monopile | tropical | aged-coating | 15 | 4,769.1 | 24 | 65.33 | 81.1 |
XL monopile | tropical | aged-coating | 20 | 6,358.8 | 32 | 65.33 | 81.1 |
XL monopile | tropical | aged-coating | 25 | 7,948.5 | 40 | 65.33 | 81.1 |
XL monopile | tropical | aged-coating | 30 | 9,538.2 | 48 | 65.33 | 81.1 |
XL monopile | tropical | aged-coating | 35 | 11,127.9 | 56 | 65.33 | 81.1 |
XL monopile | tropical | aged-coating | 40 | 12,717.6 | 64 | 65.33 | 81.1 |
XL monopile | tropical | good-coating | 10 | 2,966.7 | 15 | 60.96 | 75.4 |
XL monopile | tropical | good-coating | 15 | 4,450.1 | 23 | 60.96 | 75.4 |
digitalmodel — Corrosion Control
Analysis/computation results published for query + visualization via the Hugging Face
datasets-server API. Generated by scripts/hf/save_results_to_hf.py.
Tables
| config | rows | cols |
|---|---|---|
cathodic_protection |
112 | 8 |
galvanic_compatibility |
768 | 13 |
Data-quality notes
Own computed analysis from the digitalmodel solvers, reshaped to tidy rows by scripts/hf/build_capability_datasets.py. Reference geometries only, no client or vessel-specific data. cathodic_protection: DNV-RP-B401 sizing across 2 structures x 2 climates x 4 coating conditions x 7 design lives. galvanic_compatibility: anodic-index screening for all 16x16 metal pairs in 3 exposure environments; verdict/rank are screening categories, not a substitute for a project-specific CP design.
Provenance
Source repo:
vamseeachanta/digitalmodel· algorithm:cathodic_protection+galvanic_screeningSchema version:
1.0.0Source snapshots (sha256):
cathodic_protection.json— sha25616a2e7d6cb240e08…galvanic_compatibility.json— sha256c2faac5f5a713a95…
Nulls are genuine missing values (non-finite floats were coerced to null). Load a table:
pandas.read_parquet(hf_hub_download("aceengineer/digitalmodel-corrosion", "<config>.parquet", repo_type="dataset")).
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