diff --git a/Data.csv b/Data.csv
new file mode 100644
index 0000000..99a834d
--- /dev/null
+++ b/Data.csv
@@ -0,0 +1,1350 @@
+No. ,"Author, Specimen Name ",Comments ,Specimen_Type,Load_History,Bar_Type,Steel_Origin,Bar_Grade,Nominal Diameter,Gauge Length,Corrosion_Method,Cathode_Type,Cleaning_Method,Current Density,Exposure Duration,Solution Concentration,Mass Loss,Corroded Length,Corrosion Penetration Depth,Fy,ln(Fy)
+1,"Allam et al. (1994), 8HR/CS-1",Control.,Bare,None,D,Saudi Arabia,Grade 60,8,80,Control,Control,N/A,0,0,0,0,0,0,27.87,3.327594067
+2,"Allam et al. (1994), 8HR/CS-2",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,8,80,N,Carbon steel,Chemical,0.91,61,3.5,0.09,500,0.002,28.2,3.33933828
+3,"Allam et al. (1994), 8HR/CS-3",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,8,80,N,Carbon steel,Chemical,0.48,122,3.5,0.09,500,0.002,28.21,3.339571836
+4,"Allam et al. (1994), 8HR/CS-4",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,8,80,N,Carbon steel,Chemical,0.84,183,3.5,0.24,500,0.005,28.57,3.352509738
+5,"Allam et al. (1994), 8HR/CS-5",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,8,80,N,Carbon steel,Chemical,0.64,244,3.5,0.25,500,0.005,28.71,3.357180605
+6,"Allam et al. (1994), 8HR/CS-6",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,8,80,N,Carbon steel,Chemical,0.73,305,3.5,0.35,500,0.007,28.72,3.357565337
+7,"Allam et al. (1994), 8HR/CS-7",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,8,80,N,Carbon steel,Chemical,0.68,365,3.5,0.39,500,0.008,28.73,3.358037996
+8,"Allam et al. (1994), 8HR/CS-8",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,8,80,N,Carbon steel,Chemical,0.6,427,3.5,0.41,500,0.008,28.76,3.359076825
+9,"Allam et al. (1994), 8HR/CS-9",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,8,80,N,Carbon steel,Chemical,0.54,488,3.5,0.41,500,0.008,28.8,3.36030408
+10,"Allam et al. (1994), 10HR/CS-1",Control.,Bare,None,D,Saudi Arabia,Grade 60,10,100,Control,Control,N/A,0,0,0,0,0,0,38.59,3.653108892
+11,"Allam et al. (1994), 10HR/CS-2",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,10,100,N,Carbon steel,Chemical,0.17,61,3.5,0.01,500,0,41.25,3.719596264
+12,"Allam et al. (1994), 10HR/CS-3",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,10,100,N,Carbon steel,Chemical,0.23,122,3.5,0.04,500,0.001,42.34,3.745632767
+13,"Allam et al. (1994), 10HR/CS-4",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,10,100,N,Carbon steel,Chemical,0.48,183,3.5,0.11,500,0.003,43.92,3.782431484
+14,"Allam et al. (1994), 10HR/CS-5",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,10,100,N,Carbon steel,Chemical,0.39,244,3.5,0.12,500,0.003,43.93,3.782632167
+15,"Allam et al. (1994), 10HR/CS-6",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,10,100,N,Carbon steel,Chemical,0.57,305,3.5,0.22,500,0.005,43.93,3.782492806
+16,"Allam et al. (1994), 10HR/CS-7",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,10,100,N,Carbon steel,Chemical,0.5,365,3.5,0.23,500,0.006,44,3.784182168
+17,"Allam et al. (1994), 10HR/CS-8",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,10,100,N,Carbon steel,Chemical,0.51,427,3.5,0.28,500,0.007,44.17,3.788102676
+18,"Allam et al. (1994), 10HR/CS-9",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,10,100,N,Carbon steel,Chemical,0.46,488,3.5,0.28,500,0.007,44.21,3.788866432
+19,"Allam et al. (1994), 12HR/CS-1",Control.,Bare,None,D,Saudi Arabia,Grade 60,12,120,Control,Control,N/A,0,0,0,0,0,0,64.52,4.166971657
+20,"Allam et al. (1994), 12HR/CS-2",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,12,120,N,Carbon steel,Chemical,2.69,61,3.5,0.17,500,0.005,64.88,4.172527922
+21,"Allam et al. (1994), 12HR/CS-3",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,12,120,N,Carbon steel,Chemical,1.45,122,3.5,0.19,500,0.006,65.4,4.180596345
+22,"Allam et al. (1994), 12HR/CS-4",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,12,120,N,Carbon steel,Chemical,0.99,183,3.5,0.19,500,0.006,67.03,4.205179263
+23,"Allam et al. (1994), 12HR/CS-5",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,12,120,N,Carbon steel,Chemical,0.76,244,3.5,0.2,500,0.006,67.95,4.21874219
+24,"Allam et al. (1994), 12HR/CS-6",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,12,120,N,Carbon steel,Chemical,1.07,305,3.5,0.34,500,0.01,68.74,4.230337969
+25,"Allam et al. (1994), 12HR/CS-7",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,12,120,N,Carbon steel,Chemical,0.91,365,3.5,0.35,500,0.01,68.92,4.232880481
+26,"Allam et al. (1994), 12HR/CS-8",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,12,120,N,Carbon steel,Chemical,0.89,427,3.5,0.4,500,0.012,68.96,4.233572978
+27,"Allam et al. (1994), 12HR/CS-9",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,12,120,N,Carbon steel,Chemical,0.8,488,3.5,0.41,500,0.012,69.04,4.234719713
+28,"Allam et al. (1994), 12HR-1",Control.,Bare,None,D,Saudi Arabia,Grade 60,12,120,Control,Control,N/A,0,0,0,0,0,0,51.31,3.937951773
+29,"Allam et al. (1994), 12HR-2",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,12,120,N,Carbon steel,Chemical,5.65,61,3.5,0.36,500,0.011,51.24,3.936572857
+30,"Allam et al. (1994), 12HR-3",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,12,120,N,Carbon steel,Chemical,2.88,122,3.5,0.37,500,0.011,52.74,3.96535817
+31,"Allam et al. (1994), 12HR-4",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,12,120,N,Carbon steel,Chemical,2.09,183,3.5,0.4,500,0.012,52.68,3.964211778
+32,"Allam et al. (1994), 12HR-5",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,12,120,N,Carbon steel,Chemical,1.58,244,3.5,0.41,500,0.012,52.79,3.966328469
+33,"Allam et al. (1994), 12HR-6",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,12,120,N,Carbon steel,Chemical,1.28,305,3.5,0.41,500,0.012,53.77,3.98476645
+34,"Allam et al. (1994), 12HR-7",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,12,120,N,Carbon steel,Chemical,1.07,365,3.5,0.41,500,0.012,53.86,3.986336194
+35,"Allam et al. (1994), 12HR-8",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,12,120,N,Carbon steel,Chemical,0.93,427,3.5,0.41,500,0.012,53.91,3.987225145
+36,"Allam et al. (1994), 12HR-9",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,12,120,N,Carbon steel,Chemical,0.81,488,3.5,0.42,500,0.012,53.89,3.986982357
+37,"Allam et al. (1994), 16HR-1",Control.,Bare,None,D,Saudi Arabia,Grade 60,16,160,Control,Control,N/A,0,0,0,0,0,0,98.86,4.593685789
+38,"Allam et al. (1994), 16HR-2",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,16,160,N,Carbon steel,Chemical,0.51,61,3.5,0.02,500,0.001,99.67,4.601885524
+39,"Allam et al. (1994), 16HR-3",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,16,160,N,Carbon steel,Chemical,0.52,122,3.5,0.05,500,0.002,99.91,4.604265347
+40,"Allam et al. (1994), 16HR-4",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,16,160,N,Carbon steel,Chemical,0.85,183,3.5,0.12,500,0.005,100.27,4.607909088
+41,"Allam et al. (1994), 16HR-5",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,16,160,N,Carbon steel,Chemical,1.3,244,3.5,0.25,500,0.01,100.64,4.61154152
+42,"Allam et al. (1994), 16HR-6",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,16,160,N,Carbon steel,Chemical,1.52,305,3.5,0.37,500,0.015,100.96,4.614689766
+43,"Allam et al. (1994), 16HR-7",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,16,160,N,Carbon steel,Chemical,1.41,365,3.5,0.4,500,0.016,101.3,4.618043763
+44,"Allam et al. (1994), 16HR-8",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,16,160,N,Carbon steel,Chemical,1.25,427,3.5,0.42,500,0.017,101.26,4.617683507
+45,"Allam et al. (1994), 16HR-9",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,16,160,N,Carbon steel,Chemical,1.19,488,0,0.46,500,0.018,101.48,4.619880929
+46,"Allam et al. (1994), 32HR-1",Control.,Bare,None,D,Saudi Arabia,Grade 60,32,256,Control,Control,N/A,0,0,3.5,0,0,0,404.62,6.002941009
+47,"Allam et al. (1994), 32HR-2",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,32,256,N,Carbon steel,Chemical,0.82,61,3.5,0.02,500,0.002,406.97,6.00873876
+48,"Allam et al. (1994), 32HR-3",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,32,256,N,Carbon steel,Chemical,1.04,122,3.5,0.05,500,0.004,407.43,6.009868097
+49,"Allam et al. (1994), 32HR-4",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,32,256,N,Carbon steel,Chemical,0.82,183,3.5,0.06,500,0.005,407.09,6.009026129
+50,"Allam et al. (1994), 32HR-5",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,32,256,N,Carbon steel,Chemical,1.18,244,3.5,0.11,500,0.009,409.53,6.015001513
+51,"Allam et al. (1994), 32HR-6",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,32,256,N,Carbon steel,Chemical,1.44,305,3.5,0.17,500,0.014,412.63,6.022543402
+52,"Allam et al. (1994), 32HR-7",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,32,256,N,Carbon steel,Chemical,1.22,365,3.5,0.18,500,0.014,416.19,6.03115369
+53,"Allam et al. (1994), 32HR-8",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,32,256,N,Carbon steel,Chemical,1.12,427,3.5,0.19,500,0.015,416.28,6.031353882
+54,"Allam et al. (1994), 32HR-9",Natural exposure near the Arabian Gulf west coast.,Bare,None,D,Saudi Arabia,Grade 60,32,256,N,Carbon steel,Chemical,1.04,488,3.5,0.2,500,0.016,417.06,6.033232862
+55,"Almusallam (2001), ST1",Control.,Embedded,None,D,Saudi Arabia,Grade 60,6,280,Control,Control,N/A,0,0,0,0,0,0,16.43,2.799108932
+56,"Almusallam (2001), ST2",Control.,Embedded,None,D,Saudi Arabia,Grade 60,6,280,Control,Control,N/A,0,0,0,0,0,0,16.43,2.799108932
+57,"Almusallam (2001), ST3",Control.,Embedded,None,D,Saudi Arabia,Grade 60,6,280,Control,Control,N/A,0,0,0,0,0,0,16.43,2.799108932
+58,"Almusallam (2001), 2SCB2",,Embedded,None,D,Saudi Arabia,Grade 60,6,280,IC,External stainless steel plate,Chemical,2000,1,5,1.1,280,0.017,13.9,2.63188884
+59,"Almusallam (2001), 2SAA1",,Embedded,None,D,Saudi Arabia,Grade 60,6,280,IC,External stainless steel plate,Chemical,2000,1,5,1.45,280,0.022,13.9,2.63188884
+60,"Almusallam (2001), 2SAA2",,Embedded,None,D,Saudi Arabia,Grade 60,6,280,IC,External stainless steel plate,Chemical,2000,1,5,1.45,280,0.022,13.9,2.63188884
+61,"Almusallam (2001), 2SCA2",,Embedded,None,D,Saudi Arabia,Grade 60,6,280,IC,External stainless steel plate,Chemical,2000,6,5,12.64,280,0.19,12.19,2.500615943
+62,"Almusallam (2001), 2SAB2",,Embedded,None,D,Saudi Arabia,Grade 60,6,280,IC,External stainless steel plate,Chemical,2000,6,5,13.89,280,0.208,11.34,2.428336298
+63,"Almusallam (2001), 1SAG1",,Embedded,None,D,Saudi Arabia,Grade 60,6,280,IC,External stainless steel plate,Chemical,2000,8,5,17.83,280,0.267,10.41,2.342766883
+64,"Almusallam (2001), 2SAH2",,Embedded,None,D,Saudi Arabia,Grade 60,6,280,IC,External stainless steel plate,Chemical,2000,16,5,32.02,280,0.48,5.35,1.677096561
+65,"Almusallam (2001), 1SAI2",,Embedded,None,D,Saudi Arabia,Grade 60,6,280,IC,External stainless steel plate,Chemical,2000,24,5,48.25,280,0.724,6.47,1.867176109
+66,"Almusallam (2001), 2SAI2",,Embedded,None,D,Saudi Arabia,Grade 60,6,280,IC,External stainless steel plate,Chemical,2000,24,5,75,280,1.125,3.46,1.241268589
+67,"Almusallam (2001), 1PCA",,Embedded,None,D,Saudi Arabia,Grade 60,12,280,IC,External stainless steel plate,Chemical,2000,12,5,11.72,280,0.352,53.63,3.982108613
+68,"Almusallam (2001), 1PAJ",,Embedded,None,D,Saudi Arabia,Grade 60,12,280,IC,External stainless steel plate,Chemical,2000,32,5,32.65,280,0.98,42.39,3.746912485
+69,"Apostolopoulos et al. (2006), B-0",Control. TEMPCORE,Bare,None,D,Greece,BSt 500S,8,120,Control,Control,N/A,0,0,0,0,0,0,29.07,3.369829
+70,"Apostolopoulos et al. (2006), B-10",TEMPCORE,Bare,None,D,Greece,BSt 500S,8,120,EI,Carbon steel,Mechanical,38.14,10,5,0.6,230,0.012,28.06,3.33428065
+71,"Apostolopoulos et al. (2006), B-20",TEMPCORE,Bare,None,D,Greece,BSt 500S,8,120,EI,Carbon steel,Mechanical,138.63,20,5,4.32,230,0.086,26.87,3.291082133
+72,"Apostolopoulos et al. (2006), B-30",TEMPCORE,Bare,None,D,Greece,BSt 500S,8,120,EI,Carbon steel,Mechanical,190.05,30,5,8.78,230,0.176,24.14,3.183766013
+73,"Apostolopoulos et al. (2006), B-45",TEMPCORE,Bare,None,D,Greece,BSt 500S,8,120,EI,Carbon steel,Mechanical,250.35,45,5,16.96,230,0.339,21.18,3.052908498
+74,"Apostolopoulos et al. (2006), B-60",TEMPCORE,Bare,None,D,Greece,BSt 500S,8,120,EI,Carbon steel,Mechanical,272.76,60,5,24.12,230,0.482,16.01,2.773499727
+75,"Apostolopoulos et al. (2006), B-90",TEMPCORE,Bare,None,D,Greece,BSt 500S,8,120,EI,Carbon steel,Mechanical,243.21,90,5,31.51,230,0.63,14.32,2.661701571
+76,"Apostolopoulos and Papadakis (2007), B-0",Control,Bare,None,D,Greece,BSt 420,10,150,Control,Control,N/A,0,0,0,0,0,0,34.95,3.553924714
+77,"Apostolopoulos and Papadakis (2007), B-10",,Bare,None,D,Greece,BSt 420,10,150,EI,Carbon steel,Mechanical,104.29,10,5,1.31,250,0.033,34.51,3.541237833
+78,"Apostolopoulos and Papadakis (2007), B-20",,Bare,None,D,Greece,BSt 420,10,150,EI,Carbon steel,Mechanical,94.19,20,5,2.36,250,0.059,34.01,3.52658816
+79,"Apostolopoulos and Papadakis (2007), B-30",,Bare,None,D,Greece,BSt 420,10,150,EI,Carbon steel,Mechanical,145.08,30,5,5.41,250,0.135,33.03,3.49755647
+80,"Apostolopoulos and Papadakis (2007), B-40",,Bare,None,D,Greece,BSt 420,10,150,EI,Carbon steel,Mechanical,132.13,40,5,6.55,250,0.164,32.02,3.466259395
+81,"Apostolopoulos and Papadakis (2007), B-60",,Bare,None,D,Greece,BSt 420,10,150,EI,Carbon steel,Mechanical,143.13,60,5,10.53,250,0.263,31.49,3.449537507
+82,"Apostolopoulos and Papadakis (2008), A1","40 year old offshore house, Athens, Greece.",Embedded,SLS,D,Greece,BSt 420,10,150,N,Internal carbon steel,Mechanical,0.82,14610,5,14.5,250,0.363,32.5,3.481233197
+83,"Apostolopoulos and Papadakis (2008), A2","40 year old offshore house, Athens, Greece.",Embedded,SLS,D,Greece,BSt 420,10,150,N,Internal carbon steel,Mechanical,0.48,14610,5,8.67,250,0.217,38.57,3.652498205
+84,"Apostolopoulos and Papadakis (2008), A3","40 year old offshore house, Athens, Greece.",Embedded,SLS,D,Greece,BSt 420,10,150,N,Internal carbon steel,Mechanical,0.91,14610,5,16,250,0.4,37.64,3.628093679
+85,"Apostolopoulos and Papadakis (2008), A4","40 year old offshore house, Athens, Greece.",Embedded,SLS,D,Greece,BSt 420,10,150,N,Internal carbon steel,Mechanical,0.67,14610,5,11.9,250,0.298,36.63,3.6008083
+86,"Apostolopoulos and Papadakis (2008), A5","40 year old offshore house, Athens, Greece.",Embedded,SLS,D,Greece,BSt 420,10,150,N,Internal carbon steel,Mechanical,0.87,14610,5,15.46,250,0.387,34.01,3.526634348
+87,"Apostolopoulos and Papadakis (2008), A6","40 year old offshore house, Athens, Greece.",Embedded,SLS,D,Greece,BSt 420,10,150,N,Internal carbon steel,Mechanical,0.77,14610,5,13.7,250,0.343,34.35,3.53646989
+88,"Apostolopoulos and Papadakis (2008), A7","40 year old offshore house, Athens, Greece.",Embedded,SLS,D,Greece,BSt 420,10,150,N,Internal carbon steel,Mechanical,0.5,14610,5,8.96,250,0.224,33.33,3.506432583
+89,"Apostolopoulos and Papadakis (2008), B1","30 year old industrial building, Aegion, Greece.",Embedded,SLS,D,Greece,BSt 420,10,150,N,Internal carbon steel,Mechanical,0.27,10957,5,3.71,250,0.093,37.38,3.621268286
+90,"Apostolopoulos and Papadakis (2008), B2","30 year old industrial building, Aegion, Greece.",Embedded,SLS,D,Greece,BSt 420,10,150,N,Internal carbon steel,Mechanical,0.42,10957,5,5.69,250,0.142,36.27,3.590982329
+91,"Apostolopoulos and Papadakis (2008), B3","30 year old industrial building, Aegion, Greece.",Embedded,SLS,D,Greece,BSt 420,10,150,N,Internal carbon steel,Mechanical,0.56,10957,5,7.63,250,0.191,39.26,3.67025851
+92,"Apostolopoulos and Papadakis (2008), B4","30 year old industrial building, Aegion, Greece.",Embedded,SLS,D,Greece,BSt 420,10,150,N,Internal carbon steel,Mechanical,0.32,10957,5,4.42,250,0.111,42.19,3.742220896
+93,"Apostolopoulos and Papadakis (2008), B5","30 year old industrial building, Aegion, Greece.",Embedded,SLS,D,Greece,BSt 420,10,150,N,Internal carbon steel,Mechanical,0.49,10957,5,6.63,250,0.166,37.22,3.616846761
+94,"Apostolopoulos and Papadakis (2008), B6","30 year old industrial building, Aegion, Greece.",Embedded,SLS,D,Greece,BSt 420,10,150,N,Internal carbon steel,Mechanical,0.66,10957,5,8.88,250,0.222,33.69,3.517307351
+95,"Apostolopoulos and Papadakis (2008), B7","30 year old industrial building, Aegion, Greece.",Embedded,SLS,D,Greece,BSt 420,10,150,N,Internal carbon steel,Mechanical,0.5,10957,5,6.8,250,0.17,33.69,3.517307351
+96,"Apostolopoulos and Papadakis (2008), B9","30 year old industrial building, Aegion, Greece.",Embedded,SLS,D,Greece,BSt 420,10,150,N,Internal carbon steel,Mechanical,0.35,10957,5,4.81,250,0.12,44.45,3.794267816
+97,"Apostolopoulos and Papadakis (2008), B10","30 year old industrial building, Aegion, Greece.",Embedded,SLS,D,Greece,BSt 420,10,150,N,Internal carbon steel,Mechanical,0.73,10957,5,9.79,250,0.245,41.75,3.731741759
+98,"Apostolopoulos and Papadakis (2008), B13","30 year old industrial building, Aegion, Greece.",Embedded,SLS,D,Greece,BSt 420,10,150,N,Internal carbon steel,Mechanical,0.2,10957,5,2.77,250,0.069,39.69,3.681002744
+99,"Apostolopoulos and Papadakis (2008), B15","30 year old industrial building, Aegion, Greece.",Embedded,SLS,D,Greece,BSt 420,10,150,N,Internal carbon steel,Mechanical,0.34,10957,5,4.58,250,0.115,35.46,3.568425805
+100,"Apostolopoulos and Papadakis (2008), B16","30 year old industrial building, Aegion, Greece.",Embedded,SLS,D,Greece,BSt 420,10,150,N,Internal carbon steel,Mechanical,0.72,10957,5,9.74,250,0.244,40.23,3.694565606
+101,"Apostolopoulos and Papadakis (2008), B17","30 year old industrial building, Aegion, Greece.",Embedded,SLS,D,Greece,BSt 420,10,150,N,Internal carbon steel,Mechanical,0.02,10957,5,0.25,250,0.006,42.23,3.743151216
+102,"Apostolopoulos and Papadakis (2008), B18","30 year old industrial building, Aegion, Greece.",Embedded,SLS,D,Greece,BSt 420,10,150,N,Internal carbon steel,Mechanical,0.24,10957,5,3.3,250,0.083,45.93,3.82712034
+103,"Apostolopoulos and Papadakis (2008), B19","30 year old industrial building, Aegion, Greece.",Embedded,SLS,D,Greece,BSt 420,10,150,N,Internal carbon steel,Mechanical,0.25,10957,5,3.48,250,0.087,44.98,3.806212451
+104,"Apostolopoulos and Papadakis (2008), B20","30 year old industrial building, Aegion, Greece.",Embedded,SLS,D,Greece,BSt 420,10,150,N,Internal carbon steel,Mechanical,0.43,10957,5,5.8,250,0.145,47.71,3.865037984
+105,"Apostolopoulos and Papadopoulos (2007), B-0",Control.,Bare,None,D,Greece,S400,10,150,Control,Control,N/A,0,0,0,0,0,0,36.06,3.585074919
+106,"Apostolopoulos and Papadopoulos (2007), B-10",,Bare,None,D,Greece,S400,10,150,EI,Carbon steel,Mechanical,125.87,10,5,1.58,260,0.04,35.19,3.560866854
+107,"Apostolopoulos and Papadopoulos (2007), B-20",,Bare,None,D,Greece,S400,10,150,EI,Carbon steel,Mechanical,99.81,20,5,2.5,260,0.063,34.41,3.538411749
+108,"Apostolopoulos and Papadopoulos (2007), B-30",,Bare,None,D,Greece,S400,10,150,EI,Carbon steel,Mechanical,100.67,30,5,3.77,260,0.094,34.27,3.534295105
+109,"Apostolopoulos and Papadopoulos (2007), B-45",,Bare,None,D,Greece,S400,10,150,EI,Carbon steel,Mechanical,92.55,45,5,5.18,260,0.13,33.55,3.512938848
+110,"Apostolopoulos and Papadopoulos (2007), B-60",,Bare,None,D,Greece,S400,10,150,EI,Carbon steel,Mechanical,97.41,60,5,7.23,260,0.181,32.48,3.480483762
+111,"Apostolopoulos and Papadopoulos (2007), B-90",,Bare,None,D,Greece,S400,10,150,EI,Carbon steel,Mechanical,76.42,90,5,8.48,260,0.212,31.81,3.45976219
+112,"Papadopoulos et al. (2007), S-0",Control. TEMPCORE,Bare,None,D,Greece,S500S,12,150,Control,Control,N/A,0,0,0,0,0,0,67.63,4.214084299
+113,"Papadopoulos et al. (2007), S-10",TEMPCORE,Bare,None,D,Greece,S500S,12,150,EI,Carbon steel,Mechanical,132.82,10,5,1.39,250,0.042,66.5,4.197220493
+114,"Papadopoulos et al. (2007), S-20",TEMPCORE,Bare,None,D,Greece,S500S,12,150,EI,Carbon steel,Mechanical,88.49,20,5,1.85,250,0.055,64.8,4.171379262
+115,"Papadopoulos et al. (2007), S-30",TEMPCORE,Bare,None,D,Greece,S500S,12,150,EI,Carbon steel,Mechanical,92.72,30,5,2.9,250,0.087,63.56,4.151995395
+116,"Papadopoulos et al. (2007), S-45",TEMPCORE,Bare,None,D,Greece,S500S,12,150,EI,Carbon steel,Mechanical,81.62,45,5,3.82,250,0.115,62.43,4.134041592
+117,"Papadopoulos et al. (2007), S-60",TEMPCORE,Bare,None,D,Greece,S500S,12,150,EI,Carbon steel,Mechanical,87.86,60,5,5.46,250,0.164,60.73,4.10649164
+118,"Papadopoulos et al. (2007), S-90",TEMPCORE,Bare,None,D,Greece,S500S,12,150,EI,Carbon steel,Mechanical,82.32,90,5,7.63,250,0.229,56.66,4.037099646
+119,"Papadopoulos et al. (2007), B-0",Control.,Bare,None,D,Greece,B500C,12,150,Control,Control,N/A,0,0,0,0,0,0,67.41,4.210734212
+120,"Papadopoulos et al. (2007), B-10",TEMPCORE,Bare,None,D,Greece,B500C,12,150,EI,Carbon steel,Mechanical,87.8,10,5,0.92,250,0.028,66.16,4.192105393
+121,"Papadopoulos et al. (2007), B-20",TEMPCORE,Bare,None,D,Greece,B500C,12,150,EI,Carbon steel,Mechanical,84.16,20,5,1.76,250,0.053,65.26,4.178335812
+122,"Papadopoulos et al. (2007), B-30",TEMPCORE,Bare,None,D,Greece,B500C,12,150,EI,Carbon steel,Mechanical,76.96,30,5,2.41,250,0.072,65.26,4.178335812
+123,"Papadopoulos et al. (2007), B-45",TEMPCORE,Bare,None,D,Greece,B500C,12,150,EI,Carbon steel,Mechanical,86.15,45,5,4.03,250,0.121,62.32,4.132228354
+124,"Papadopoulos et al. (2007), B-60",TEMPCORE,Bare,None,D,Greece,B500C,12,150,EI,Carbon steel,Mechanical,88.84,60,5,5.52,250,0.166,58.92,4.076243587
+125,"Papadopoulos et al. (2007), B-90",TEMPCORE,Bare,None,D,Greece,B500C,12,150,EI,Carbon steel,Mechanical,96.69,90,5,8.93,250,0.268,56.89,4.041083715
+126,"Cobo et al. (2011), R-16-1",Control.,Embedded,None,D,Spain,B500SD,16,200,Control,Control,N/A,0,0,0,0,0,0,108.76,4.689110597
+127,"Cobo et al. (2011), R-16-2",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,504,3.5,4.01,460,0.16,99.88,4.603921725
+128,"Cobo et al. (2011), R-16-3",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,625,3.5,4.97,460,0.199,102,4.624938839
+129,"Cobo et al. (2011), R-16-4",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,644,3.5,5.12,460,0.205,101.3,4.618100125
+130,"Cobo et al. (2011), R-16-5",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,742,3.5,5.9,460,0.236,98.85,4.593651396
+131,"Cobo et al. (2011), R-16-6",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,824,3.5,6.55,460,0.262,105.61,4.659793808
+132,"Cobo et al. (2011), R-16-7",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,855,3.5,6.8,460,0.272,85.87,4.452850113
+133,"Cobo et al. (2011), R-16-8",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,893,3.5,7.1,460,0.284,98.66,4.591705082
+134,"Cobo et al. (2011), R-16-9",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,893,3.5,7.1,460,0.284,97.64,4.581295359
+135,"Cobo et al. (2011), R-16-10",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,934,3.5,7.43,460,0.297,97.82,4.58317406
+136,"Cobo et al. (2011), R-16-11",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,949,3.5,7.55,460,0.302,94.02,4.543457254
+137,"Cobo et al. (2011), R-16-12",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,996,3.5,7.92,460,0.317,98.17,4.586731579
+138,"Cobo et al. (2011), R-16-13",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,993,3.5,7.9,460,0.316,102.37,4.62855872
+139,"Cobo et al. (2011), R-16-14",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1007,3.5,8.01,460,0.32,100.47,4.609881774
+140,"Cobo et al. (2011), R-16-15",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1018,3.5,8.1,460,0.324,92.03,4.522109085
+141,"Cobo et al. (2011), R-16-16",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1018,3.5,8.1,460,0.324,86.72,4.462630756
+142,"Cobo et al. (2011), R-16-17",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1071,3.5,8.52,460,0.341,101.18,4.616889775
+143,"Cobo et al. (2011), R-16-18",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1106,3.5,8.8,460,0.352,86.34,4.458324449
+144,"Cobo et al. (2011), R-16-19",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1132,3.5,9,460,0.36,94.79,4.551638076
+145,"Cobo et al. (2011), R-16-20",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1143,3.5,9.09,460,0.364,96.68,4.571375795
+146,"Cobo et al. (2011), R-16-21",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1152,3.5,9.16,460,0.366,101.21,4.617150444
+147,"Cobo et al. (2011), R-16-22",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1220,3.5,9.7,460,0.388,97.51,4.579990643
+148,"Cobo et al. (2011), R-16-23",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1269,3.5,10.09,460,0.404,94.66,4.550262905
+149,"Cobo et al. (2011), R-16-24",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1303,3.5,10.36,460,0.414,85.55,4.449130046
+150,"Cobo et al. (2011), R-16-25",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1433,3.5,11.4,460,0.456,92.29,4.524910428
+151,"Cobo et al. (2011), R-16-26",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1436,3.5,11.42,460,0.457,81.73,4.403360548
+152,"Cobo et al. (2011), R-16-27",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1479,3.5,11.76,460,0.47,83.26,4.42201141
+153,"Cobo et al. (2011), R-16-28",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1498,3.5,11.91,460,0.476,87.82,4.475239312
+154,"Cobo et al. (2011), R-16-29",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1548,3.5,12.31,460,0.492,91.22,4.513253658
+155,"Cobo et al. (2011), R-16-30",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1553,3.5,12.35,460,0.494,86.56,4.460890492
+156,"Cobo et al. (2011), R-16-31",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1562,3.5,12.42,460,0.497,90.18,4.501818665
+157,"Cobo et al. (2011), R-16-32",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1635,3.5,13,460,0.52,88.24,4.480004877
+158,"Cobo et al. (2011), R-16-33",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1677,3.5,13.34,460,0.534,88.29,4.480618768
+159,"Cobo et al. (2011), R-16-34",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1715,3.5,13.64,460,0.546,91.63,4.5177211
+160,"Cobo et al. (2011), R-16-35",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1719,3.5,13.67,460,0.547,89.29,4.491904719
+161,"Cobo et al. (2011), R-16-36",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1760,3.5,14,460,0.56,87.65,4.473348546
+162,"Cobo et al. (2011), R-16-37",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1901,3.5,15.12,460,0.605,88.62,4.484388493
+163,"Cobo et al. (2011), R-16-38",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1912,3.5,15.21,460,0.608,88.84,4.486845457
+164,"Cobo et al. (2011), R-16-39",,Embedded,None,D,Spain,B500SD,16,200,IC,External lead plate,Chemical,10,1924,3.5,15.3,460,0.612,89.53,4.494590879
+165,"Cobo et al. (2011), R-20-1",Control.,Embedded,None,D,Spain,B500SD,20,200,Control,Control,N/A,0,0,0,0,0,0,172.85,5.152426641
+166,"Cobo et al. (2011), R-20-2",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,330,3.5,2.1,460,0.105,153.41,5.03312637
+167,"Cobo et al. (2011), R-20-3",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,361,3.5,2.3,460,0.115,157.48,5.059327434
+168,"Cobo et al. (2011), R-20-4",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,361,3.5,2.3,460,0.115,154.48,5.04006258
+169,"Cobo et al. (2011), R-20-5",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,456,3.5,2.9,460,0.145,169.72,5.134167496
+170,"Cobo et al. (2011), R-20-6",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,503,3.5,3.2,460,0.16,171.59,5.145101294
+171,"Cobo et al. (2011), R-20-7",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,503,3.5,3.2,460,0.16,167.33,5.119976148
+172,"Cobo et al. (2011), R-20-8",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,534,3.5,3.4,460,0.17,168.58,5.127421957
+173,"Cobo et al. (2011), R-20-9",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,613,3.5,3.9,460,0.195,155.39,5.045967558
+174,"Cobo et al. (2011), R-20-10",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,629,3.5,4,460,0.2,155.25,5.045042997
+175,"Cobo et al. (2011), R-20-11",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,754,3.5,4.8,460,0.24,167.68,5.122087046
+176,"Cobo et al. (2011), R-20-12",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,802,3.5,5.1,460,0.255,146.09,4.984203704
+177,"Cobo et al. (2011), R-20-13",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,817,3.5,5.2,460,0.26,174.56,5.162285624
+178,"Cobo et al. (2011), R-20-14",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,864,3.5,5.5,460,0.275,149.97,5.010449652
+179,"Cobo et al. (2011), R-20-15",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,908,3.5,5.78,460,0.289,160.44,5.077891532
+180,"Cobo et al. (2011), R-20-16",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,954,3.5,6.07,460,0.304,149.2,5.005290052
+181,"Cobo et al. (2011), R-20-17",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,1006,3.5,6.4,460,0.32,150.88,5.016475748
+182,"Cobo et al. (2011), R-20-18",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,1045,3.5,6.65,460,0.333,154.32,5.039011845
+183,"Cobo et al. (2011), R-20-19",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,1116,3.5,7.1,460,0.355,142.23,4.957419244
+184,"Cobo et al. (2011), R-20-20",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,1152,3.5,7.33,460,0.367,163.59,5.097343301
+185,"Cobo et al. (2011), R-20-21",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,1147,3.5,7.3,460,0.365,161.64,5.085347229
+186,"Cobo et al. (2011), R-20-22",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,1185,3.5,7.54,460,0.377,144.42,4.972743085
+187,"Cobo et al. (2011), R-20-23",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,1209,3.5,7.69,460,0.385,155.36,5.045720055
+188,"Cobo et al. (2011), R-20-24",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,1240,3.5,7.89,460,0.395,157.91,5.062027496
+189,"Cobo et al. (2011), R-20-25",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,1251,3.5,7.96,460,0.398,154.55,5.040548311
+190,"Cobo et al. (2011), R-20-26",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,1301,3.5,8.28,460,0.414,156.81,5.055031891
+191,"Cobo et al. (2011), R-20-27",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,1334,3.5,8.49,460,0.425,132.13,4.883801167
+192,"Cobo et al. (2011), R-20-28",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,1352,3.5,8.6,460,0.43,144.47,4.973068671
+193,"Cobo et al. (2011), R-20-29",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,1399,3.5,8.9,460,0.445,169.53,5.133046969
+194,"Cobo et al. (2011), R-20-30",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,1440,3.5,9.16,460,0.458,152.03,5.024070282
+195,"Cobo et al. (2011), R-20-31",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,1487,3.5,9.46,460,0.473,143.79,4.96833417
+196,"Cobo et al. (2011), R-20-32",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,1611,3.5,10.25,460,0.513,136.78,4.918378304
+197,"Cobo et al. (2011), R-20-33",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,1652,3.5,10.51,460,0.526,145.88,4.98281268
+198,"Cobo et al. (2011), R-20-34",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,1754,3.5,11.16,460,0.558,143.04,4.963131829
+199,"Cobo et al. (2011), R-20-35",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,1759,3.5,11.19,460,0.56,138.78,4.932888499
+200,"Cobo et al. (2011), R-20-36",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,1811,3.5,11.52,460,0.576,150.66,5.015035596
+201,"Cobo et al. (2011), R-20-37",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,1894,3.5,12.05,460,0.603,134.78,4.903648564
+202,"Cobo et al. (2011), R-20-38",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,1918,3.5,12.2,460,0.61,135.25,4.907094347
+203,"Cobo et al. (2011), R-20-39",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,1929,3.5,12.27,460,0.614,132.91,4.889638964
+204,"Cobo et al. (2011), R-20-40",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,2017,3.5,12.83,460,0.642,129.59,4.864374106
+205,"Cobo et al. (2011), R-20-41",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,2078,3.5,13.22,460,0.661,128.28,4.854210506
+206,"Cobo et al. (2011), R-20-42",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,2123,3.5,13.51,460,0.676,146.49,4.986923039
+207,"Cobo et al. (2011), R-20-43",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,2232,3.5,14.2,460,0.71,130.87,4.874172901
+208,"Cobo et al. (2011), R-20-44",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,2251,3.5,14.32,460,0.716,130.9,4.874440314
+209,"Cobo et al. (2011), R-20-45",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,2268,3.5,14.43,460,0.722,131.72,4.880714752
+210,"Cobo et al. (2011), R-20-46",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,2303,3.5,14.65,460,0.733,137.42,4.923055279
+211,"Cobo et al. (2011), R-20-47",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,2373,3.5,15.1,460,0.755,132.08,4.883410422
+212,"Cobo et al. (2011), R-20-48",,Embedded,None,D,Spain,B500SD,20,200,IC,External lead plate,Chemical,10,2727,3.5,17.35,460,0.868,124.61,4.825188017
+213,"Zhang et al. (2012), At1",Control.,Embedded,None,P,China,HRB250,6.5,200,Control,Control,N/A,0,0,0,0,0,0,8.67,2.160214752
+214,"Zhang et al. (2012), At2",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,0.84,10958,3.5,17.1,400,0.278,6.89,1.930506404
+215,"Zhang et al. (2012), At3",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1.5,10958,3.5,29.4,400,0.478,5.55,1.713437502
+216,"Zhang et al. (2012), At4",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,0.87,10958,3.5,17.6,400,0.286,6.49,1.869954317
+217,"Zhang et al. (2012), At5",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1.14,10958,3.5,22.7,400,0.369,6.26,1.834659304
+218,"Zhang et al. (2012), At6",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1.19,10958,3.5,23.7,400,0.385,6.79,1.915156347
+219,"Zhang et al. (2012), At7",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1.11,10958,3.5,22.2,400,0.361,6.36,1.85065711
+220,"Zhang et al. (2012), At8",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1.46,10958,3.5,28.6,400,0.465,5.74,1.747981722
+221,"Zhang et al. (2012), At9",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1.45,10958,3.5,28.5,400,0.463,5.51,1.70710894
+222,"Zhang et al. (2012), At10",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1.3,10958,3.5,25.7,400,0.418,5.74,1.746936426
+223,"Zhang et al. (2012), At11",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,0.8,10958,3.5,16.2,400,0.263,6.44,1.86299427
+224,"Zhang et al. (2012), At12",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,0.86,10958,3.5,17.4,400,0.283,6.65,1.894165625
+225,"Zhang et al. (2012), At13",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1,10958,3.5,20.2,400,0.328,6.49,1.870878674
+226,"Zhang et al. (2012), At14",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1.18,10958,3.5,23.5,400,0.382,5.71,1.741342983
+227,"Zhang et al. (2012), At15",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,0.77,10958,3.5,15.6,400,0.254,6.9,1.931086534
+228,"Zhang et al. (2012), At16",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1.18,10958,3.5,23.5,400,0.382,6.64,1.892810713
+229,"Zhang et al. (2012), At17",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,0.94,10958,3.5,18.9,400,0.307,6.9,1.931086534
+230,"Zhang et al. (2012), At18",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,0.79,10958,3.5,16,400,0.26,7.64,2.033659349
+231,"Zhang et al. (2012), At19",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,0.92,10958,3.5,18.5,400,0.301,7.64,2.033135789
+232,"Zhang et al. (2012), At20",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,0.82,10958,3.5,16.6,400,0.27,7.87,2.063566193
+233,"Zhang et al. (2012), At21",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1.13,10958,3.5,22.5,400,0.366,7.12,1.962486288
+234,"Zhang et al. (2012), At22",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,0.97,10958,3.5,19.6,400,0.319,6.7,1.901510333
+235,"Zhang et al. (2012), At23",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,0.89,10958,3.5,18,400,0.293,7.25,1.981277293
+236,"Zhang et al. (2012), At24",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,0.95,10958,3.5,19.2,400,0.312,7.06,1.95486989
+237,"Zhang et al. (2012), At25",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1.01,10958,3.5,20.3,400,0.33,6.77,1.912648787
+238,"Zhang et al. (2012), At26",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,0.97,10958,3.5,19.5,400,0.317,8.09,2.090134171
+239,"Zhang et al. (2012), At27",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1,10958,3.5,20.2,400,0.328,7.28,1.984856099
+240,"Zhang et al. (2012), At28",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,0.87,10958,3.5,17.6,400,0.286,7.78,2.051684865
+241,"Zhang et al. (2012), At29",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1.52,10958,3.5,29.7,400,0.483,5.7,1.741167683
+242,"Zhang et al. (2012), At30",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1.29,10958,3.5,25.5,400,0.414,5.86,1.768661418
+243,"Zhang et al. (2012), At31",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1.05,10958,3.5,21,400,0.341,6.28,1.837847573
+244,"Zhang et al. (2012), At32",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,0.89,10958,3.5,18,400,0.293,6.62,1.89009537
+245,"Zhang et al. (2012), At33",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1.09,10958,3.5,21.8,400,0.354,6.1,1.807960849
+246,"Zhang et al. (2012), At34",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,0.94,10958,3.5,19,400,0.309,6.76,1.911170808
+247,"Zhang et al. (2012), At35",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1.34,10958,3.5,26.5,400,0.431,5.39,1.684174259
+248,"Zhang et al. (2012), At36",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,0.81,10958,3.5,16.4,400,0.267,7.74,2.046789209
+249,"Zhang et al. (2012), At37",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1.03,10958,3.5,20.7,400,0.336,7.31,1.989243274
+250,"Zhang et al. (2012), At38",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,0.85,10958,3.5,17.2,400,0.28,7.41,2.002965383
+251,"Zhang et al. (2012), At39",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,0.84,10958,3.5,17.1,400,0.278,7.28,1.984856099
+252,"Zhang et al. (2012), At40",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,0.93,10958,3.5,18.7,400,0.304,6.86,1.925561659
+253,"Zhang et al. (2012), At41",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1.14,10958,3.5,22.7,400,0.369,5.73,1.745540995
+254,"Zhang et al. (2012), At42",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1.61,10958,3.5,31.2,400,0.507,5.5,1.704020555
+255,"Zhang et al. (2012), At43",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1.29,10958,3.5,25.5,400,0.414,6.39,1.855047208
+256,"Zhang et al. (2012), At44",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1.38,10958,3.5,27.2,400,0.442,6.31,1.842294143
+257,"Zhang et al. (2012), At45",Extracted from RC concrete beams from inland building - 30+ years old.,Embedded,SLS,P,China,HRB250,6.5,200,N,Internal carbon steel,Chemical,1.01,10958,3.5,20.4,400,0.332,6.69,1.900165343
+258,"Zhang et al. (2012), Bt1",Control,Embedded,None,D,China,HRB350,12,200,Control,Control,N/A,0,0,0,0,0,0,41.94,3.736240025
+259,"Zhang et al. (2012), Bt2",,Embedded,None,D,China,HRB350,12,200,IC,External stainless steel plate,Chemical,100,95,5,10,400,0.3,39.47,3.675490217
+260,"Zhang et al. (2012), Bt3",,Embedded,None,D,China,HRB350,12,200,IC,External stainless steel plate,Chemical,100,95,5,6.1,400,0.183,40.44,3.699819394
+261,"Zhang et al. (2012), Bt4",,Embedded,None,D,China,HRB350,12,200,IC,External stainless steel plate,Chemical,100,95,5,6,400,0.18,39.96,3.687878954
+262,"Zhang et al. (2012), Bt5",,Embedded,None,D,China,HRB350,12,200,IC,External stainless steel plate,Chemical,100,95,5,4.5,400,0.135,38.32,3.645867564
+263,"Zhang et al. (2012), Bt6",,Embedded,None,D,China,HRB350,12,200,IC,External stainless steel plate,Chemical,100,190,5,12.3,400,0.369,34.51,3.541104241
+264,"Zhang et al. (2012), Bt7",,Embedded,None,D,China,HRB350,12,200,IC,External stainless steel plate,Chemical,100,190,5,12.3,400,0.369,33.76,3.519158179
+265,"Zhang et al. (2012), Bt8",,Embedded,None,D,China,HRB350,12,200,IC,External stainless steel plate,Chemical,100,190,5,9.1,400,0.273,39.17,3.667809023
+266,"Zhang et al. (2012), Bt9",,Embedded,None,D,China,HRB350,12,200,IC,External stainless steel plate,Chemical,100,190,5,11.9,400,0.357,38.25,3.644117416
+267,"Zhang et al. (2012), Bt10",,Embedded,None,D,China,HRB350,12,200,IC,External stainless steel plate,Chemical,100,750,5,39.7,400,1.191,23.92,3.174714929
+268,"Zhang et al. (2012), Bt11",,Embedded,None,D,China,HRB350,12,200,IC,External stainless steel plate,Chemical,100,380,5,20.5,400,0.615,31.3,3.443522246
+269,"Zhang et al. (2012), Bt12",,Embedded,None,D,China,HRB350,12,200,IC,External stainless steel plate,Chemical,100,190,5,9.7,400,0.291,34.75,3.548208349
+270,"Zhang et al. (2012), Bt13",,Embedded,None,D,China,HRB350,12,200,IC,External stainless steel plate,Chemical,100,190,5,9.3,400,0.279,37.26,3.617786164
+271,"Zhang et al. (2012), Bt14",,Embedded,None,D,China,HRB350,12,200,IC,External stainless steel plate,Chemical,100,380,5,17,400,0.51,34.17,3.531348066
+272,"Zhang et al. (2012), Bt15",,Embedded,None,D,China,HRB350,12,200,IC,External stainless steel plate,Chemical,100,380,5,18.3,400,0.549,33.7,3.517497837
+273,"Zhang et al. (2012), Bt16",,Embedded,None,D,China,HRB350,12,200,IC,External stainless steel plate,Chemical,100,470,5,27.2,400,0.816,30.95,3.432372999
+274,"Zhang et al. (2012), Bt17",,Embedded,None,D,China,HRB350,12,200,IC,External stainless steel plate,Chemical,100,470,5,25.6,400,0.768,30.2,3.407908147
+275,"Zhang et al. (2012), Bt18",,Embedded,None,D,China,HRB350,12,200,IC,External stainless steel plate,Chemical,100,470,5,24,400,0.72,31.03,3.434922251
+276,"Zhang et al. (2012), Bt19",,Embedded,None,D,China,HRB350,12,200,IC,External stainless steel plate,Chemical,100,660,5,35.8,400,1.074,23.92,3.174714929
+277,"Zhang et al. (2012), Bt20",,Embedded,None,D,China,HRB350,12,200,IC,External stainless steel plate,Chemical,100,660,5,35.6,400,1.068,25.7,3.246374254
+278,"Zhang et al. (2012), Bt21",,Embedded,None,D,China,HRB350,12,200,IC,External stainless steel plate,Chemical,100,660,5,32.3,400,0.969,28.37,3.345261749
+279,"Apostolopoulos et al. (2013), B-0",Control.,Bare,None,D,Greece,B500C,8,100,Control,Control,N/A,0,0,0,0,0,0,31.25,3.442133579
+280,"Apostolopoulos et al. (2013), B-10",,Bare,None,D,Greece,B500C,8,100,EI,Carbon steel,Mechanical,84.71,10,5,1.33,340,0.027,30.04,3.402384556
+281,"Apostolopoulos et al. (2013), B-20",,Bare,None,D,Greece,B500C,8,100,EI,Carbon steel,Mechanical,85.32,20,5,2.67,340,0.053,28.92,3.364680917
+282,"Apostolopoulos et al. (2013), B-30",,Bare,None,D,Greece,B500C,8,100,EI,Carbon steel,Mechanical,64.61,30,5,3.03,340,0.061,28.36,3.344989852
+283,"Apostolopoulos et al. (2013), B-45",,Bare,None,D,Greece,B500C,8,100,EI,Carbon steel,Mechanical,73.61,45,5,5.15,340,0.103,27.11,3.300057817
+284,"Apostolopoulos et al. (2013), B-60",,Bare,None,D,Greece,B500C,8,100,EI,Carbon steel,Mechanical,70.47,60,5,6.55,340,0.131,26.41,3.273818367
+285,"Apostolopoulos et al. (2013), B-90",,Bare,None,D,Greece,B500C,8,100,EI,Carbon steel,Mechanical,71.57,90,5,9.89,340,0.198,24.54,3.2004933
+286,"Apostolopoulos et al. (2013), B-120",,Bare,None,D,Greece,B500C,8,100,EI,Carbon steel,Mechanical,74.29,120,5,13.55,340,0.271,21.42,3.064166981
+287,"Apostolopoulos et al. (2013), E-1",,Embedded,None,D,Greece,B500C,8,100,EI,Internal carbon steel,Mechanical,1.31,365,5,0.75,340,0.015,22.55,3.115516603
+288,"Apostolopoulos et al. (2013), E-2",,Embedded,None,D,Greece,B500C,8,100,EI,Internal carbon steel,Mechanical,6.28,365,5,3.58,340,0.072,26.14,3.263565203
+289,"Apostolopoulos et al. (2013), E-3",,Embedded,None,D,Greece,B500C,8,100,EI,Internal carbon steel,Mechanical,4.25,365,5,2.43,340,0.049,23.52,3.15796752
+290,"Apostolopoulos et al. (2013), E-4",,Embedded,None,D,Greece,B500C,8,100,EI,Internal carbon steel,Mechanical,7.38,365,5,4.2,340,0.084,22.74,3.124196384
+291,"Apostolopoulos et al. (2013), E-5",,Embedded,None,D,Greece,B500C,8,100,EI,Internal carbon steel,Mechanical,3.43,365,5,1.96,340,0.039,24.88,3.213898845
+292,"Apostolopoulos et al. (2013), E-6",,Embedded,None,D,Greece,B500C,8,100,EI,Internal carbon steel,Mechanical,2.3,365,5,1.32,340,0.026,26.87,3.29119436
+293,"Apostolopoulos et al. (2013), E-7",,Embedded,None,D,Greece,B500C,8,100,EI,Internal carbon steel,Mechanical,2.27,365,5,1.3,340,0.026,25.83,3.25163094
+294,"Apostolopoulos et al. (2013), E-8",,Embedded,None,D,Greece,B500C,8,100,EI,Internal carbon steel,Mechanical,3.65,365,5,2.09,340,0.042,25.3,3.230729874
+295,"Apostolopoulos et al. (2013), E-9",,Embedded,None,D,Greece,B500C,8,100,EI,Internal carbon steel,Mechanical,6.11,365,5,3.48,340,0.07,23.51,3.15762556
+296,"Apostolopoulos et al. (2013), E-10",,Embedded,None,D,Greece,B500C,8,100,EI,Internal carbon steel,Mechanical,5.2,365,5,2.97,340,0.059,25.09,3.222309696
+297,"Dang and François (2013), AT2-T1",Control. 27 years old. ,Embedded,Pre-loaded,D,France,B500B,16,200,Control,Control,N/A,0,0,0,0,0,0,113.26,4.729686061
+298,"Dang and François (2013), A2CL1-T1",27 years old. ,Embedded,Pre-loaded,D,France,B500B,16,200,EI,Internal carbon steel,Chemical,1.8,9862,3.5,45.98,400,1.839,69.1,4.235598145
+299,"Dang and François (2013), A2CL1-T2",27 years old. ,Embedded,Pre-loaded,D,France,B500B,16,200,EI,Internal carbon steel,Chemical,1.8,9862,3.5,21.5,400,0.86,83.31,4.42256859
+300,"Dang and François (2013), AT2-C1",Control. 27 years old. ,Embedded,Pre-loaded,D,France,B500B,8,200,Control,Control,N/A,0,0,0,0,0,0,22.75,3.1246091
+301,"Dang and François (2013), A2CL1-C1",27 years old. ,Embedded,Pre-loaded,D,France,B500B,8,200,EI,Internal carbon steel,Chemical,1.8,9862,3.5,42.44,400,0.849,16.37,2.795694711
+302,"Dang and François (2013), A2CL1-C2",27 years old. ,Embedded,Pre-loaded,D,France,B500B,8,200,EI,Internal carbon steel,Chemical,1.8,9862,3.5,54.57,400,1.091,19.24,2.956783523
+303,"Kashani et al. (2013b), T1",Control.,Embedded,None,D,United Kingdom,B500B,8,200,Control,Control,N/A,0,0,0,0,0,0,25.64,3.243974055
+304,"Kashani et al. (2013b), T2",,Embedded,None,D,United Kingdom,B500B,8,200,IC,External stainless steel plate,Mechanical,2400,5,3,6.44,500,0.129,23,3.135358574
+305,"Kashani et al. (2013b), T3",,Embedded,None,D,United Kingdom,B500B,8,200,IC,External stainless steel plate,Mechanical,2400,5,3,15.54,500,0.311,18.63,2.924806075
+306,"Kashani et al. (2013b), T4",,Embedded,None,D,United Kingdom,B500B,8,200,IC,External stainless steel plate,Mechanical,2400,14,3,15.8,500,0.316,18.49,2.91697191
+307,"Kashani et al. (2013b), T5",,Embedded,None,D,United Kingdom,B500B,8,200,IC,External stainless steel plate,Mechanical,2400,14,3,16.05,500,0.321,22.62,3.118767344
+308,"Kashani et al. (2013b), T6",,Embedded,None,D,United Kingdom,B500B,8,200,IC,External stainless steel plate,Mechanical,2400,14,3,17.19,500,0.344,21.44,3.065341853
+309,"Meda et al. (2014), NC1",Control,Bare,None,D,Italy,B500C,16,200,Control,Control,N/A,0,0,0,0,0,0,104.87,4.652721488
+310,"Meda et al. (2014), NC2",Control,Bare,None,D,Italy,B500C,16,200,Control,Control,N/A,0,0,0,0,0,0,104.8,4.652053772
+311,"Meda et al. (2014), NC3",Control,Bare,None,D,Italy,B500C,16,200,Control,Control,N/A,0,0,0,0,0,0,104.38,4.648038086
+312,"Meda et al. (2014), A1",,Bare,None,D,Italy,B500C,16,200,IC,External carbon steel bar,Chemical,50,16,3,11.9,200,0.476,76.5,4.337290741
+313,"Meda et al. (2014), A2",,Bare,None,D,Italy,B500C,16,200,IC,External carbon steel bar,Chemical,50,16,3,12.9,200,0.516,73.99,4.303929949
+314,"Meda et al. (2014), A3",,Bare,None,D,Italy,B500C,16,200,IC,External carbon steel bar,Chemical,50,16,3,12.6,200,0.504,76.59,4.33846652
+315,"Meda et al. (2014), C1",,Bare,None,D,Italy,B500C,16,200,IC,External carbon steel bar,Chemical,50,31,3,21.2,200,0.848,62.92,4.141864078
+316,"Meda et al. (2014), C2",,Bare,None,D,Italy,B500C,16,200,IC,External carbon steel bar,Chemical,50,31,3,21.4,200,0.856,64.6,4.168214411
+317,"Meda et al. (2014), C3",,Bare,None,D,Italy,B500C,16,200,IC,External carbon steel bar,Chemical,50,31,3,22.1,200,0.884,59.09,4.079061705
+318,"Meda et al. (2014), D1a",,Embedded,Pre-loaded,D,Italy,B500C,16,200,IC,External carbon steel bar,Chemical,50,47,3,19.65,600,0.786,49.04,3.892636292
+319,"Meda et al. (2014), D1b",,Embedded,Pre-loaded,D,Italy,B500C,16,200,IC,External carbon steel bar,Chemical,50,47,3,20.85,600,0.834,44.06,3.785552341
+320,"Meda et al. (2014), D2a",,Embedded,Pre-loaded,D,Italy,B500C,16,200,IC,External carbon steel bar,Chemical,50,47,3,19.2,600,0.768,50.44,3.920784511
+321,"Meda et al. (2014), D2b",,Embedded,Pre-loaded,D,Italy,B500C,16,200,IC,External carbon steel bar,Chemical,50,47,3,20.89,600,0.836,59.58,4.087319947
+322,"Meda et al. (2014), D3a",,Embedded,Pre-loaded,D,Italy,B500C,16,200,IC,External carbon steel bar,Chemical,50,47,3,23.38,600,0.935,32.37,3.477232068
+323,"Meda et al. (2014), D3b",,Embedded,Pre-loaded,D,Italy,B500C,16,200,IC,External carbon steel bar,Chemical,50,47,3,17.3,600,0.692,56.66,4.037068494
+324,"Meda et al. (2014), D4a",,Embedded,Pre-loaded,D,Italy,B500C,16,200,IC,External carbon steel bar,Chemical,50,47,3,23.36,600,0.934,30.43,3.415428964
+325,"Meda et al. (2014), D4b",,Embedded,Pre-loaded,D,Italy,B500C,16,200,IC,External carbon steel bar,Chemical,50,47,3,17.67,600,0.707,60.58,4.103964806
+326,"Meda et al. (2014), E1a",,Embedded,Pre-loaded,D,Italy,B500C,16,200,IC,External carbon steel bar,Chemical,50,35,3,20.83,600,0.833,54.3,3.994524227
+327,"Meda et al. (2014), E1b",,Embedded,Pre-loaded,D,Italy,B500C,16,200,IC,External carbon steel bar,Chemical,50,35,3,17.06,600,0.682,66.17,4.192227188
+328,"Meda et al. (2014), E2a",,Embedded,Pre-loaded,D,Italy,B500C,16,200,IC,External carbon steel bar,Chemical,50,35,3,15.85,600,0.634,60.8,4.107589789
+329,"Meda et al. (2014), E2b",,Embedded,Pre-loaded,D,Italy,B500C,16,200,IC,External carbon steel bar,Chemical,50,35,3,19.04,600,0.762,58.05,4.061304708
+330,"Meda et al. (2014), E3a",,Embedded,Pre-loaded,D,Italy,B500C,16,200,IC,External carbon steel bar,Chemical,50,35,3,16.44,600,0.658,53.46,3.978933711
+331,"Meda et al. (2014), E3b",,Embedded,Pre-loaded,D,Italy,B500C,16,200,IC,External carbon steel bar,Chemical,50,35,3,14.76,600,0.59,73.58,4.29837325
+332,"Meda et al. (2014), E4a",,Embedded,Pre-loaded,D,Italy,B500C,16,200,IC,External carbon steel bar,Chemical,50,35,3,15.97,600,0.639,53.32,3.97633025
+333,"Meda et al. (2014), E4b",,Embedded,Pre-loaded,D,Italy,B500C,16,200,IC,External carbon steel bar,Chemical,50,35,3,17.06,600,0.682,67.2,4.207673248
+334,"Salvatore et al. (2014), B500A-12-CW-Prod.2-C1",Control.,Bare,None,D,Italy,B500A,12,120,Control,Control,N/A,0,0,0,0,0,0,64.21,4.162086656
+335,"Salvatore et al. (2014), B500A-12-CW-Prod.2-C2",Control.,Bare,None,D,Italy,B500A,12,120,Control,Control,N/A,0,0,0,0,0,0,64.5,4.166673618
+336,"Salvatore et al. (2014), B500A-12-CW-Prod.2-C3",Control.,Bare,None,D,Italy,B500A,12,120,Control,Control,N/A,0,0,0,0,0,0,62.53,4.135724957
+337,"Salvatore et al. (2014), B500A-12-CW-Prod.2-1","UniPi (University of Pisa) experimental tests. Producer 2, Cold-worked. Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B500A,12,120,EI,Carbon steel,Mechanical,190.2,90,5,17.17,21.7,0.515,55.36,4.013878007
+338,"Salvatore et al. (2014), B500A-12-CW-Prod.2-2","UniPi (University of Pisa) experimental tests. Producer 2, Cold-worked. Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B500A,12,120,EI,Carbon steel,Mechanical,156.78,90,5,14.27,23.3,0.428,55.98,4.025051308
+339,"Salvatore et al. (2014), B500A-12-CW-Prod.2-3","UniPi (University of Pisa) experimental tests. Producer 2, Cold-worked. Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B500A,12,120,EI,Carbon steel,Mechanical,252.83,90,5,22.47,21.5,0.674,56.39,4.032297716
+340,"Salvatore et al. (2014), B500A-12-CW-Prod.2 5.6","UniPi (University of Pisa) experimental tests. Producer 2, Cold-worked. Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B500A,12,120,EI,Carbon steel,Mechanical,274.68,45,5,12.56,24.9,0.377,52.14,3.953891588
+341,"Salvatore et al. (2014), B500A-12-CW-Prod.2 5.5","UniPi (University of Pisa) experimental tests. Producer 2, Cold-worked. Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B500A,12,120,EI,Carbon steel,Mechanical,96.31,45,5,4.5,21,0.135,57.45,4.050974993
+342,"Salvatore et al. (2014), B500A-12-CW-Prod.2 5.2","UniPi (University of Pisa) experimental tests. Producer 2, Cold-worked. Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B500A,12,120,EI,Carbon steel,Mechanical,113.45,45,5,5.29,182.5,0.159,57.11,4.045051975
+343,"Salvatore et al. (2014), B400C-16-TEMP-Prod.1-C1",Control.,Bare,None,D,Italy,B400C,12,120,Control,Control,N/A,0,0,0,0,0,0,50.55,3.922873153
+344,"Salvatore et al. (2014), B400C-16-TEMP-Prod.1-C2",Control.,Bare,None,D,Italy,B400C,12,120,Control,Control,N/A,0,0,0,0,0,0,48.42,3.87994379
+345,"Salvatore et al. (2014), B400C-16-TEMP-Prod.1-C3",Control.,Bare,None,D,Italy,B400C,12,120,Control,Control,N/A,0,0,0,0,0,0,50.06,3.913318117
+346,"Salvatore et al. (2014), B400C-16-TEMP-Prod.1-1","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B400C,12,120,EI,Carbon steel,Mechanical,148.46,90,5,13.54,30,0.406,45.06,3.807950071
+347,"Salvatore et al. (2014), B400C-16-TEMP-Prod.1-2","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B400C,12,160,EI,Carbon steel,Mechanical,281.19,90,5,18.94,28.4,0.758,45.4,3.815451982
+348,"Salvatore et al. (2014), B400C-16-TEMP-Prod.1-3","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B400C,12,160,EI,Carbon steel,Mechanical,177.39,90,5,12.18,30,0.487,45.79,3.824133668
+349,"Salvatore et al. (2014), B400C-16-TEMP-Prod.1-4","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B400C,12,160,EI,Carbon steel,Mechanical,234.46,90,5,15.93,24.9,0.637,47.2,3.854298933
+350,"Salvatore et al. (2014), B400C-16-TEMP-Prod.1-5","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B400C,12,160,EI,Carbon steel,Mechanical,235.99,90,5,16.03,25.3,0.641,46.46,3.838600023
+351,"Salvatore et al. (2014), B400C-16-TEMP-Prod.1-6","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B400C,12,160,EI,Carbon steel,Mechanical,323.53,90,5,21.62,25.1,0.865,46.89,3.847807745
+352,"Salvatore et al. (2014), B400C-16-TEMP-Prod.1-7","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B400C,12,160,EI,Carbon steel,Mechanical,290.45,45,5,10.03,31,0.401,50.27,3.9174436
+353,"Salvatore et al. (2014), B400C-16-TEMP-Prod.1-8","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B400C,12,160,EI,Carbon steel,Mechanical,394.07,45,5,13.48,30.5,0.539,50.8,3.927961768
+354,"Salvatore et al. (2014), B400C-16-TEMP-Prod.1-9","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B400C,12,160,EI,Carbon steel,Mechanical,449.56,45,5,15.3,31.7,0.612,49.37,3.899281921
+355,"Salvatore et al. (2014), B450C-16-TEMP-Prod.1-C1",Control.,Bare,None,D,Italy,B450C,16,160,Control,Control,N/A,0,0,0,0,0,0,108.03,4.68245151
+356,"Salvatore et al. (2014), B450C-16-TEMP-Prod.1-C2",Control.,Bare,None,D,Italy,B450C,16,160,Control,Control,N/A,0,0,0,0,0,0,117.95,4.770269034
+357,"Salvatore et al. (2014), B450C-16-TEMP-Prod.1-C3",Control.,Bare,None,D,Italy,B450C,16,160,Control,Control,N/A,0,0,0,0,0,0,116.93,4.761571838
+358,"Salvatore et al. (2014), B450C-16-TEMP-Prod.1-1","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B450C,16,160,EI,Carbon steel,Mechanical,213.62,90,5,14.57,20.9,0.583,96.79,4.572556216
+359,"Salvatore et al. (2014), B450C-16-TEMP-Prod.1-2","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B450C,16,160,EI,Carbon steel,Mechanical,87.11,90,5,6.08,26.4,0.243,97.39,4.578768702
+360,"Salvatore et al. (2014), B450C-16-TEMP-Prod.1-3","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B450C,16,160,EI,Carbon steel,Mechanical,126.11,90,5,8.74,27.2,0.35,100.49,4.610065709
+361,"Salvatore et al. (2014), B450C-16-TEMP-Prod.1-4","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B450C,16,160,EI,Carbon steel,Mechanical,98.63,90,5,6.87,28.9,0.275,100.01,4.605252222
+362,"Salvatore et al. (2014), B450C-16-TEMP-Prod.1-5","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B450C,16,160,EI,Carbon steel,Mechanical,119.91,90,5,8.32,24.2,0.333,96.69,4.571517039
+363,"Salvatore et al. (2014), B450C-16-TEMP-Prod.1-6","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B450C,16,160,EI,Carbon steel,Mechanical,255,90,5,17.26,24.5,0.69,101.09,4.616050167
+364,"Salvatore et al. (2014), B450C-16-TEMP-Prod.1-7","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B450C,16,160,EI,Carbon steel,Mechanical,226.58,45,5,7.87,30.5,0.315,102.38,4.628698557
+365,"Salvatore et al. (2014), B450C-16-TEMP-Prod.1-8","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B450C,16,160,EI,Carbon steel,Mechanical,213.96,45,5,7.44,29.5,0.298,102.78,4.632618593
+366,"Salvatore et al. (2014), B450C-16-TEMP-Prod.1-9","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B450C,16,160,EI,Carbon steel,Mechanical,323.86,45,5,11.15,28.8,0.446,101.4,4.619029019
+367,"Salvatore et al. (2014), B500B-16-TEMP-Prod.1-C1",Control.,Bare,None,D,Italy,B500B,16,160,Control,Control,N/A,0,0,0,0,0,0,119.95,4.787071038
+368,"Salvatore et al. (2014), B500B-16-TEMP-Prod.1-C2",Control.,Bare,None,D,Italy,B500B,16,160,Control,Control,N/A,0,0,0,0,0,0,119.19,4.780697895
+369,"Salvatore et al. (2014), B500B-16-TEMP-Prod.1-C3",Control.,Bare,None,D,Italy,B500B,16,160,Control,Control,N/A,0,0,0,0,0,0,117.15,4.763478679
+370,"Salvatore et al. (2014), B500B-16-TEMP-Prod.1-1","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B500B,16,160,EI,Carbon steel,Mechanical,367.25,90,5,24.34,28.6,0.974,99,4.595149085
+371,"Salvatore et al. (2014), B500B-16-TEMP-Prod.1-2","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B500B,16,160,EI,Carbon steel,Mechanical,250.5,90,5,16.97,30.5,0.679,95.81,4.562325413
+372,"Salvatore et al. (2014), B500B-16-TEMP-Prod.1-3","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B500B,16,160,EI,Carbon steel,Mechanical,726.3,90,5,44.86,20,1.794,96.89,4.573594314
+373,"Salvatore et al. (2014), B500B-16-TEMP-Prod.1-4","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B500B,16,160,EI,Carbon steel,Mechanical,249.58,90,5,16.91,24.5,0.676,97.6,4.580830984
+374,"Salvatore et al. (2014), B500B-16-TEMP-Prod.1-5","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B500B,16,160,EI,Carbon steel,Mechanical,423.19,90,5,27.75,26.4,1.11,98.8,4.59311615
+375,"Salvatore et al. (2014), B500B-16-TEMP-Prod.1-6","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B500B,16,160,EI,Carbon steel,Mechanical,258.41,90,5,17.48,24.2,0.699,98.58,4.590875139
+376,"Salvatore et al. (2014), B500B-16-TEMP-Prod.1-7","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B500B,16,160,EI,Carbon steel,Mechanical,621.94,45,5,20.83,31.5,0.833,100.53,4.610465789
+377,"Salvatore et al. (2014), B500B-16-TEMP-Prod.1-8","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B500B,16,160,EI,Carbon steel,Mechanical,568.33,45,5,19.13,31.2,0.765,98.7,4.592098131
+378,"Salvatore et al. (2014), B500B-16-TEMP-Prod.1-9","UniPi (University of Pisa) experimental tests. Producer 1, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B500B,16,160,EI,Carbon steel,Mechanical,773.9,45,5,25.55,23.2,1.022,98.92,4.594336407
+379,"Salvatore et al. (2014), B400C-16-MA-Prod.2-C1",Control.,Bare,None,D,Italy,B400C,16,160,Control,Control,N/A,0,0,0,0,0,0,87.35,4.469938554
+380,"Salvatore et al. (2014), B400C-16-MA-Prod.2-C2",Control.,Bare,None,D,Italy,B400C,16,160,Control,Control,N/A,0,0,0,0,0,0,87.81,4.475127049
+381,"Salvatore et al. (2014), B400C-16-MA-Prod.2-C3",Control.,Bare,None,D,Italy,B400C,16,160,Control,Control,N/A,0,0,0,0,0,0,87.01,4.465971667
+382,"Salvatore et al. (2014), B400C-16-MA-Prod.2-1","UniPi (University of Pisa) experimental tests. Producer 2, Macro Alloyed. Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B400C,16,160,EI,Carbon steel,Mechanical,341.85,45,5,11.75,31.5,0.47,85.89,4.453109978
+383,"Salvatore et al. (2014), B400C-16-MA-Prod.2-2","UniPi (University of Pisa) experimental tests. Producer 2, Macro Alloyed. Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B400C,16,160,EI,Carbon steel,Mechanical,307.13,45,5,10.59,29.5,0.424,87.96,4.476934396
+384,"Salvatore et al. (2014), B400C-16-MA-Prod.2-3","UniPi (University of Pisa) experimental tests. Producer 2, Macro Alloyed. Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B400C,16,160,EI,Carbon steel,Mechanical,665.25,45,5,22.19,31.2,0.888,85.25,4.445591145
+385,"Salvatore et al. (2014), B400C-25-MA-Prod.2 C1",Control.,Bare,None,D,Italy,B400C,25,250,Control,Control,N/A,0,0,0,0,0,0,212.44,5.358638305
+386,"Salvatore et al. (2014), B400C-25-MA-Prod.2 C2",Control.,Bare,None,D,Italy,B400C,25,250,Control,Control,N/A,0,0,0,0,0,0,213.35,5.362949998
+387,"Salvatore et al. (2014), B400C-25-MA-Prod.2 C3",Control.,Bare,None,D,Italy,B400C,25,250,Control,Control,N/A,0,0,0,0,0,0,212.76,5.360185274
+388,"Salvatore et al. (2014), B400C-25-MA-Prod.2 8.10","UniPi (University of Pisa) experimental tests. Producer 2, Macro Alloyed. Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B400C,25,250,EI,Carbon steel,Mechanical,112.98,90,5,5.06,22.8,0.316,217.31,5.381324235
+389,"Salvatore et al. (2014), B400C-25-MA-Prod.2 8.11","UniPi (University of Pisa) experimental tests. Producer 2, Macro Alloyed. Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B400C,25,250,EI,Carbon steel,Mechanical,225.05,90,5,9.95,22,0.622,214.86,5.36996564
+390,"Salvatore et al. (2014), B400C-25-MA-Prod.2 8.9","UniPi (University of Pisa) experimental tests. Producer 2, Macro Alloyed. Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B400C,25,250,EI,Carbon steel,Mechanical,221.57,90,5,9.8,17.1,0.613,215.35,5.372264612
+391,"Salvatore et al. (2014), B400C-25-MA-Prod.2-1","UniPi (University of Pisa) experimental tests. Producer 2, Macro Alloyed. Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B400C,25,250,EI,Carbon steel,Mechanical,28.7,45,5,0.65,25.9,0.041,209.85,5.346386184
+392,"Salvatore et al. (2014), B400C-25-MA-Prod.2-2","UniPi (University of Pisa) experimental tests. Producer 2, Macro Alloyed. Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B400C,25,250,EI,Carbon steel,Mechanical,37.99,45,5,0.86,22.2,0.054,209.01,5.342401648
+393,"Salvatore et al. (2014), B400C-25-MA-Prod.2-3","UniPi (University of Pisa) experimental tests. Producer 2, Macro Alloyed. Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B400C,25,250,EI,Carbon steel,Mechanical,32.24,45,5,0.73,21.9,0.046,208.13,5.338165351
+394,"Salvatore et al. (2014), B450C-25-TEMP-Prod.2 C1",Control.,Bare,None,D,Italy,B450C,25,250,Control,Control,N/A,0,0,0,0,0,0,247.89,5.512990325
+395,"Salvatore et al. (2014), B450C-25-TEMP-Prod.2 C2",Control.,Bare,None,D,Italy,B450C,25,250,Control,Control,N/A,0,0,0,0,0,0,249.15,5.518066528
+396,"Salvatore et al. (2014), B450C-25-TEMP-Prod.2 C3",Control.,Bare,None,D,Italy,B450C,25,250,Control,Control,N/A,0,0,0,0,0,0,246.28,5.506474091
+397,"Salvatore et al. (2014), B450C-25-TEMP-Prod.2 10.3","UniPi (University of Pisa) experimental tests. Producer 2, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B450C,25,250,EI,Carbon steel,Mechanical,26.53,90,5,1.2,21.6,0.075,246.62,5.507828511
+398,"Salvatore et al. (2014), B450C-25-TEMP-Prod.2 10.9","UniPi (University of Pisa) experimental tests. Producer 2, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B450C,25,250,EI,Carbon steel,Mechanical,41.86,90,5,1.89,20.4,0.118,253.05,5.533569199
+399,"Salvatore et al. (2014), B450C-25-TEMP-Prod.2 10.10","UniPi (University of Pisa) experimental tests. Producer 2, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B450C,25,250,EI,Carbon steel,Mechanical,188.51,90,5,8.37,21.6,0.523,253.05,5.533569199
+400,"Salvatore et al. (2014), B450C-25-TEMP-Prod.2-1","UniPi (University of Pisa) experimental tests. Producer 2, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B450C,25,250,EI,Carbon steel,Mechanical,16.33,45,5,0.37,22,0.023,245.58,5.503639814
+401,"Salvatore et al. (2014), B450C-25-TEMP-Prod.2-2","UniPi (University of Pisa) experimental tests. Producer 2, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B450C,25,250,EI,Carbon steel,Mechanical,30.91,45,5,0.7,25.5,0.044,242.98,5.492989658
+402,"Salvatore et al. (2014), B450C-25-TEMP-Prod.2-3","UniPi (University of Pisa) experimental tests. Producer 2, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B450C,25,250,EI,Carbon steel,Mechanical,34.45,45,5,0.78,22.9,0.049,244.16,5.497826427
+403,"Salvatore et al. (2014), B500B-25-TEMP-Prod.2-C1",Control.,Bare,None,D,Italy,B500B,25,250,Control,Control,N/A,0,0,0,0,0,0,260.54,5.562741837
+404,"Salvatore et al. (2014), B500B-25-TEMP-Prod.2-C2",Control.,Bare,None,D,Italy,B500B,25,250,Control,Control,N/A,0,0,0,0,0,0,257.99,5.55293431
+405,"Salvatore et al. (2014), B500B-25-TEMP-Prod.2-C3",Control.,Bare,None,D,Italy,B500B,25,250,Control,Control,N/A,0,0,0,0,0,0,261.09,5.564849795
+406,"Salvatore et al. (2014), B500B-25-TEMP-Prod.2 6.9","UniPi (University of Pisa) experimental tests. Producer 2, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B500B,25,250,EI,Carbon steel,Mechanical,79.18,90,5,3.56,21.7,0.223,261.68,5.567140919
+407,"Salvatore et al. (2014), B500B-25-TEMP-Prod.2 6.1","UniPi (University of Pisa) experimental tests. Producer 2, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B500B,25,250,EI,Carbon steel,Mechanical,479.46,90,5,20.57,23.2,1.286,263.65,5.574616192
+408,"Salvatore et al. (2014), B500B-25-TEMP-Prod.2 6.8","UniPi (University of Pisa) experimental tests. Producer 2, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B500B,25,250,EI,Carbon steel,Mechanical,62.38,90,5,2.81,22.8,0.176,262.67,5.570885541
+409,"Salvatore et al. (2014), B500B-25-TEMP-Prod.2-1","UniPi (University of Pisa) experimental tests. Producer 2, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B500B,25,250,EI,Carbon steel,Mechanical,73.93,45,5,1.67,26.4,0.104,254.47,5.539179041
+410,"Salvatore et al. (2014), B500B-25-TEMP-Prod.2-2","UniPi (University of Pisa) experimental tests. Producer 2, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B500B,25,250,EI,Carbon steel,Mechanical,82.38,45,5,1.86,23,0.116,257.37,5.550495935
+411,"Salvatore et al. (2014), B500B-25-TEMP-Prod.2-3","UniPi (University of Pisa) experimental tests. Producer 2, TEMP-CORE Corrosion limited to small central region by protective wax.",Bare,None,D,Italy,B500B,25,250,EI,Carbon steel,Mechanical,94.4,45,5,2.13,24.2,0.133,252.16,5.530071333
+412,"Salvatore et al. (2014), B400C-16-TEMP-R-Prod.1-1",Control.,Bare,None,D,Greece,B400C,16,160,Control,Control,N/A,0,0,0,0,0,0,87.86,4.475790885
+413,"Salvatore et al. (2014), B400C-16-TEMP-R-Prod.1-2",Control.,Bare,None,D,Greece,B400C,16,160,Control,Control,N/A,0,0,0,0,0,0,87.46,4.471203721
+414,"Salvatore et al. (2014), B400C-16-TEMP-R-Prod.1-3",Control.,Bare,None,D,Greece,B400C,16,160,Control,Control,N/A,0,0,0,0,0,0,87.06,4.466595418
+415,"Salvatore et al. (2014), B400C-16-TEMP-R-Prod.1-4","UPA (University of Patras) experimental tests. Producer 1, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B400C,16,160,EI,Carbon steel,Mechanical,168.98,45,5,5.9,21,0.236,87.46,4.471203721
+416,"Salvatore et al. (2014), B400C-16-TEMP-R-Prod.1-5","UPA (University of Patras) experimental tests. Producer 1, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B400C,16,160,EI,Carbon steel,Mechanical,157.36,45,5,5.5,22,0.22,86.66,4.46196578
+417,"Salvatore et al. (2014), B400C-16-TEMP-R-Prod.1-6","UPA (University of Patras) experimental tests. Producer 1, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B400C,16,160,EI,Carbon steel,Mechanical,137.09,45,5,4.8,21.4,0.192,86.26,4.457314609
+418,"Salvatore et al. (2014), B400C-16-TEMP-R-Prod.1-7","UPA (University of Patras) experimental tests. Producer 1, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B400C,16,160,EI,Carbon steel,Mechanical,122.57,90,5,8.5,22.7,0.34,80.42,4.387322237
+419,"Salvatore et al. (2014), B400C-16-TEMP-R-Prod.1-8","UPA (University of Patras) experimental tests. Producer 1, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B400C,16,160,EI,Carbon steel,Mechanical,140.32,90,5,9.7,21,0.388,83.24,4.421723664
+420,"Salvatore et al. (2014), B400C-16-TEMP-R-Prod.1-9","UPA (University of Patras) experimental tests. Producer 1, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B400C,16,160,EI,Carbon steel,Mechanical,138.84,90,5,9.6,21.6,0.384,82.03,4.407124865
+421,"Salvatore et al. (2014), B450C-16-TEMP-R-Prod.1-1",Control.,Bare,None,D,Greece,B450C,16,160,Control,Control,N/A,0,0,0,0,0,0,108.77,4.689276969
+422,"Salvatore et al. (2014), B450C-16-TEMP-R-Prod.1-2",Control.,Bare,None,D,Greece,B450C,16,160,Control,Control,N/A,0,0,0,0,0,0,106.96,4.67250118
+423,"Salvatore et al. (2014), B450C-16-TEMP-R-Prod.1-4","UPA (University of Patras) experimental tests. Producer 1, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B450C,16,160,EI,Carbon steel,Mechanical,171.89,45,5,6,25,0.24,106.16,4.664953974
+424,"Salvatore et al. (2014), B450C-16-TEMP-R-Prod.1-5","UPA (University of Patras) experimental tests. Producer 1, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B450C,16,160,EI,Carbon steel,Mechanical,177.72,45,5,6.2,23,0.248,107.37,4.676253529
+425,"Salvatore et al. (2014), B450C-16-TEMP-R-Prod.1-6","UPA (University of Patras) experimental tests. Producer 1, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B450C,16,160,EI,Carbon steel,Mechanical,174.8,45,5,6.1,25,0.244,107.17,4.674379114
+426,"Salvatore et al. (2014), B450C-16-TEMP-R-Prod.1-7","UPA (University of Patras) experimental tests. Producer 1, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B450C,16,160,EI,Carbon steel,Mechanical,162.68,90,5,11.2,25.7,0.448,102.94,4.634182315
+427,"Salvatore et al. (2014), B450C-16-TEMP-R-Prod.1-8","UPA (University of Patras) experimental tests. Producer 1, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B450C,16,160,EI,Carbon steel,Mechanical,164.18,90,5,11.3,25.3,0.452,102.34,4.628305707
+428,"Salvatore et al. (2014), B450C-16-TEMP-R-Prod.1-9","UPA (University of Patras) experimental tests. Producer 1, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B450C,16,160,EI,Carbon steel,Mechanical,146.26,90,5,10.1,25.3,0.404,99.73,4.602433617
+429,"Salvatore et al. (2014), B500B-16-TEMP-R-Prod.1-1",Control.,Bare,None,D,Greece,B500B,16,160,Control,Control,N/A,0,0,0,0,0,0,104.95,4.653525278
+430,"Salvatore et al. (2014), B500B-16-TEMP-R-Prod.1-2",Control.,Bare,None,D,Greece,B500B,16,160,Control,Control,N/A,0,0,0,0,0,0,105.36,4.657349375
+431,"Salvatore et al. (2014), B500B-16-TEMP-R-Prod.1-4","UPA (University of Patras) experimental tests. Producer 1, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B500B,16,160,EI,Carbon steel,Mechanical,134.19,45,5,4.7,23,0.188,106.36,4.666846122
+432,"Salvatore et al. (2014), B500B-16-TEMP-R-Prod.1-5","UPA (University of Patras) experimental tests. Producer 1, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B500B,16,160,EI,Carbon steel,Mechanical,154.46,45,5,5.4,25,0.216,103.55,4.640024591
+433,"Salvatore et al. (2014), B500B-16-TEMP-R-Prod.1-6","UPA (University of Patras) experimental tests. Producer 1, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B500B,16,160,EI,Carbon steel,Mechanical,88.15,45,5,3.1,0.3,0.124,103.35,4.638080956
+434,"Salvatore et al. (2014), B500B-16-TEMP-R-Prod.1-7","UPA (University of Patras) experimental tests. Producer 1, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B500B,16,160,EI,Carbon steel,Mechanical,164.18,90,5,11.3,23.3,0.452,98.12,4.586173096
+435,"Salvatore et al. (2014), B500B-16-TEMP-R-Prod.1-8","UPA (University of Patras) experimental tests. Producer 1, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B500B,16,160,EI,Carbon steel,Mechanical,143.29,90,5,9.9,25.6,0.396,98.92,4.594336407
+436,"Salvatore et al. (2014), B500B-16-TEMP-R-Prod.1-9","UPA (University of Patras) experimental tests. Producer 1, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B500B,16,160,EI,Carbon steel,Mechanical,162.68,90,5,11.2,25.7,0.448,98.72,4.592301818
+437,"Salvatore et al. (2014), B450C-16-TEMP-R-Prod.2-1",Control.,Bare,None,D,Greece,B450C,16,160,Control,Control,N/A,0,0,0,0,0,0,95.1,4.554953079
+438,"Salvatore et al. (2014), B450C-16-TEMP-R-Prod.2-2",Control.,Bare,None,D,Greece,B450C,16,160,Control,Control,N/A,0,0,0,0,0,0,99.93,4.604447716
+439,"Salvatore et al. (2014), B450C-16-TEMP-R-Prod.2-3",Control.,Bare,None,D,Greece,B450C,16,160,Control,Control,N/A,0,0,0,0,0,0,104.75,4.651607732
+440,"Salvatore et al. (2014), B450C-16-TEMP-R-Prod.2-4","UPA (University of Patras) experimental tests. Producer 2, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B450C,16,160,EI,Carbon steel,Mechanical,183.55,45,5,6.4,29.9,0.256,92.89,4.531422581
+441,"Salvatore et al. (2014), B450C-16-TEMP-R-Prod.2-6","UPA (University of Patras) experimental tests. Producer 2, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B450C,16,160,EI,Carbon steel,Mechanical,177.72,45,5,6.2,21,0.248,95.1,4.554953079
+442,"Salvatore et al. (2014), B450C-16-TEMP-R-Prod.2-8","UPA (University of Patras) experimental tests. Producer 2, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B450C,16,160,EI,Carbon steel,Mechanical,177.72,45,5,6.2,20.1,0.248,95.1,4.554953079
+443,"Salvatore et al. (2014), B450C-16-TEMP-R-Prod.2-5","UPA (University of Patras) experimental tests. Producer 2, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B450C,16,160,EI,Carbon steel,Mechanical,137.35,90,5,9.5,25.7,0.38,96.31,4.567558288
+444,"Salvatore et al. (2014), B450C-16-TEMP-R-Prod.2-11","UPA (University of Patras) experimental tests. Producer 2, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B450C,16,160,EI,Carbon steel,Mechanical,129.95,90,5,9,25.3,0.36,97.92,4.584121813
+445,"Salvatore et al. (2014), B450C-16-TEMP-R-Prod.2-12","UPA (University of Patras) experimental tests. Producer 2, TEMP-CORE. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B450C,16,160,EI,Carbon steel,Mechanical,132.91,90,5,9.2,25.3,0.368,92.09,4.522726874
+446,"Salvatore et al. (2014), B500B-12-ST R-Prod.1-4",Control.,Bare,None,D,Greece,B500B,12,120,Control,Control,N/A,0,0,0,0,0,0,60.85,4.108352105
+447,"Salvatore et al. (2014), B500B-12-ST R-Prod.1-11",Control.,Bare,None,D,Greece,B500B,12,120,Control,Control,N/A,0,0,0,0,0,0,60.15,4.096761024
+448,"Salvatore et al. (2014), B500B-12-ST R-Prod.1-13",Control.,Bare,None,D,Greece,B500B,12,120,Control,Control,N/A,0,0,0,0,0,0,58.58,4.070468788
+449,"Salvatore et al. (2014), B500B-12-ST R-Prod.1-1","UPA (University of Patras) experimental tests. Producer 1, Stretched. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B500B,12,120,EI,Carbon steel,Mechanical,106.35,90,5,9.8,22.9,0.294,60.28,4.099014969
+450,"Salvatore et al. (2014), B500B-12-STR-Prod.1-2","UPA (University of Patras) experimental tests. Producer 1, Stretched. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B500B,12,120,EI,Carbon steel,Mechanical,119.77,90,5,11,19.6,0.33,59.15,4.080075009
+451,"Salvatore et al. (2014), B500B-12-STR-Prod.1-3","UPA (University of Patras) experimental tests. Producer 1, Stretched. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B500B,12,120,EI,Carbon steel,Mechanical,107.47,90,5,9.9,22,0.297,58.25,4.064660446
+452,"Salvatore et al. (2014), B400C-16-MA-Prod.2-1","UPA (University of Patras) experimental tests. Producer 1, Macro Alloyed. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B400C,16,160,EI,Carbon steel,Mechanical,86.09,90,5,6.01,22.5,0.24,91.08,4.511749816
+453,"Salvatore et al. (2014), B400C-16-MA-Prod.2-2","UPA (University of Patras) experimental tests. Producer 1, Macro Alloyed. Corrosion limited to small central region by protective wax.",Bare,None,D,Greece,B400C,16,160,EI,Carbon steel,Mechanical,138.84,90,5,9.6,22.5,0.384,91.28,4.513954888
+454,"Zhu and François (2014), B2T2-1",Control. 27 years old. ,Embedded,Pre-loaded,D,France,B500B,12,200,Control,Control,N/A,0,0,0,0,0,0,61.23,4.114705486
+455,"Zhu and François (2014), B2T2-2",Control. 27 years old. ,Embedded,Pre-loaded,D,France,B500B,12,200,Control,Control,N/A,0,0,0,0,0,0,61.56,4.119975738
+456,"Zhu and François (2014), B2C12-1",27 years old. ,Embedded,Pre-loaded,D,France,B500B,12,200,EI,Internal carbon steel,Chemical,1.8,9862,3.5,24.28,575,0.728,53.22,3.974452402
+457,"Zhu and François (2014), B2C12-2",27 years old. ,Embedded,Pre-loaded,D,France,B500B,12,200,EI,Internal carbon steel,Chemical,1.8,9862,3.5,22.47,575,0.674,52.86,3.967647841
+458,"Zhu and François (2014), B2C12-3",27 years old. ,Embedded,Pre-loaded,D,France,B500B,12,200,EI,Internal carbon steel,Chemical,1.8,9862,3.5,22.7,575,0.681,55.33,4.013257022
+459,"Fernandez et al. (2015), MT-10-1",Control.,Embedded,Pre-loaded,D,Spain,B500SD,10,170,Control,Control,N/A,0,0,0,0,0,0,42.9,3.758871826
+460,"Fernandez et al. (2015), MT-10-2",Control.,Embedded,Pre-loaded,D,Spain,B500SD,10,170,Control,Control,N/A,0,0,0,0,0,0,42.4,3.747148362
+461,"Fernandez et al. (2015), MT-10-3",,Embedded,Pre-loaded,D,Spain,B500SD,10,170,IC,Internal stainless steel bar,Sandblasting,300,50,3.5,8.4,315,0.21,34.2,3.532225644
+462,"Fernandez et al. (2015), MT-10-4",,Embedded,Pre-loaded,D,Spain,B500SD,10,170,IC,Internal stainless steel bar,Sandblasting,300,50,3.5,8.7,315,0.218,33.6,3.514526067
+463,"Fernandez et al. (2015), MT-10-5",,Embedded,Pre-loaded,D,Spain,B500SD,10,170,IC,Internal stainless steel bar,Sandblasting,300,50,3.5,8.8,315,0.22,32.1,3.46885603
+464,"Fernandez et al. (2015), MT-10-6",,Embedded,Pre-loaded,D,Spain,B500SD,10,170,IC,Internal stainless steel bar,Sandblasting,300,50,3.5,9.3,315,0.233,33.1,3.499533282
+465,"Fernandez et al. (2015), MT-10-7",,Embedded,Pre-loaded,D,Spain,B500SD,10,170,IC,Internal stainless steel bar,Sandblasting,300,50,3.5,9.5,315,0.238,32.1,3.46885603
+466,"Fernandez et al. (2015), MT-10-8",,Embedded,Pre-loaded,D,Spain,B500SD,10,170,IC,Internal stainless steel bar,Sandblasting,300,50,3.5,10,315,0.25,31.6,3.453157121
+467,"Fernandez et al. (2015), MT-10-9",,Embedded,Pre-loaded,D,Spain,B500SD,10,170,IC,Internal stainless steel bar,Sandblasting,300,50,3.5,11.1,315,0.278,32.6,3.484312288
+468,"Fernandez et al. (2015), MT-10-10",,Embedded,Pre-loaded,D,Spain,B500SD,10,170,IC,Internal stainless steel bar,Sandblasting,300,65,3.5,12.6,315,0.315,30.1,3.404525172
+469,"Fernandez et al. (2015), MT-10-11",,Embedded,Pre-loaded,D,Spain,B500SD,10,170,IC,Internal stainless steel bar,Sandblasting,300,65,3.5,12.9,315,0.323,27.5,3.314186005
+470,"Fernandez et al. (2015), MT-10-12",,Embedded,Pre-loaded,D,Spain,B500SD,10,170,IC,Internal stainless steel bar,Sandblasting,300,80,3.5,14.3,315,0.358,32,3.465735903
+471,"Fernandez et al. (2015), MT-10-13",,Embedded,Pre-loaded,D,Spain,B500SD,10,170,IC,Internal stainless steel bar,Sandblasting,300,80,3.5,18.5,315,0.463,22.9,3.131136911
+472,"Fernandez et al. (2015), MT-12-1",Control.,Embedded,Pre-loaded,D,Spain,B500SD,12,170,Control,Control,N/A,0,0,0,0,0,0,61.5,4.119037175
+473,"Fernandez et al. (2015), MT-12-2",Control.,Embedded,Pre-loaded,D,Spain,B500SD,12,170,Control,Control,N/A,0,0,0,0,0,0,61.4,4.117409835
+474,"Fernandez et al. (2015), MT-12-3",Control.,Embedded,Pre-loaded,D,Spain,B500SD,12,170,Control,Control,N/A,0,0,0,0,0,0,63.2,4.146304301
+475,"Fernandez et al. (2015), MT-12-4",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,65,3.5,9.1,315,0.273,61.2,4.11414719
+476,"Fernandez et al. (2015), MT-12-5",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,65,3.5,9.6,315,0.288,45.6,3.819907717
+477,"Fernandez et al. (2015), MT-12-6",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,65,3.5,9.7,315,0.291,45.1,3.808882247
+478,"Fernandez et al. (2015), MT-12-7",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,65,3.5,9.7,315,0.291,45.4,3.815512105
+479,"Fernandez et al. (2015), MT-12-8",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,65,3.5,10.7,315,0.321,46.5,3.839452313
+480,"Fernandez et al. (2015), MT-12-9",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,65,3.5,10.8,315,0.324,45.6,3.819907717
+481,"Fernandez et al. (2015), MT-12-10",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,65,3.5,11.1,315,0.333,45.4,3.815512105
+482,"Fernandez et al. (2015), MT-12-11",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,65,3.5,11.3,315,0.339,46.6,3.841600541
+483,"Fernandez et al. (2015), MT-12-12",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,80,3.5,12,315,0.36,48,3.871201011
+484,"Fernandez et al. (2015), MT-12-13",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,80,3.5,12.1,315,0.363,44.7,3.799973502
+485,"Fernandez et al. (2015), MT-12-14",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,80,3.5,12.2,315,0.366,44.8,3.802208139
+486,"Fernandez et al. (2015), MT-12-15",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,80,3.5,12.4,315,0.372,43,3.761200116
+487,"Fernandez et al. (2015), MT-12-16",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,95,3.5,14.6,315,0.438,44.9,3.804437795
+488,"Fernandez et al. (2015), MT-12-17",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,95,3.5,14.9,315,0.447,45.1,3.808882247
+489,"Fernandez et al. (2015), MT-12-18",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,95,3.5,15,315,0.45,40.4,3.698829785
+490,"Fernandez et al. (2015), MT-12-19",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,110,3.5,16.8,315,0.504,36.9,3.608211551
+491,"Fernandez et al. (2015), MT-12-20",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,110,3.5,16.9,315,0.507,39.2,3.668676747
+492,"Fernandez et al. (2015), MT-12-21",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,110,3.5,17.5,315,0.525,38.1,3.640214282
+493,"Fernandez et al. (2015), MT-12-22",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,110,3.5,17.9,315,0.537,40.1,3.691376334
+494,"Fernandez et al. (2015), MT-12-23",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,125,3.5,19.6,315,0.588,38.2,3.642835516
+495,"Fernandez et al. (2015), MT-12-24",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,125,3.5,19.7,315,0.591,34.5,3.540959324
+496,"Fernandez et al. (2015), MT-12-25",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,125,3.5,19.8,315,0.594,36.5,3.597312261
+497,"Fernandez et al. (2015), MT-12-26",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,125,3.5,21.4,315,0.642,34,3.526360525
+498,"Fernandez et al. (2015), MT-12-27",,Embedded,Pre-loaded,D,Spain,B500SD,12,170,IC,Internal stainless steel bar,Sandblasting,300,125,3.5,21.5,315,0.645,35,3.555348061
+499,"Apostolopoulos and Matakis (2016), 1b",No control specimen provided.,Bare,None,D,Greece,B500C,10,150,EI,Carbon steel,Mechanical,99.06,60,5,7.35,520,0.184,36.64,3.601092911
+500,"Apostolopoulos and Matakis (2016), 2b",No control specimen provided.,Bare,None,D,Greece,B500C,10,150,EI,Carbon steel,Mechanical,121.13,60,5,8.95,520,0.224,35.8,3.577896431
+501,"Apostolopoulos and Matakis (2016), 3b",No control specimen provided.,Bare,None,D,Greece,B500C,10,150,EI,Carbon steel,Mechanical,124.6,60,5,9.2,520,0.23,34.54,3.542250543
+502,"Apostolopoulos and Matakis (2016), 4b",No control specimen provided.,Bare,None,D,Greece,B500C,10,150,EI,Carbon steel,Mechanical,113.52,60,5,8.4,520,0.21,34.7,3.546677845
+503,"Apostolopoulos and Matakis (2016), 5b",No control specimen provided.,Bare,None,D,Greece,B500C,10,150,EI,Carbon steel,Mechanical,123.21,60,5,9.1,520,0.228,33.66,3.516359349
+504,"Apostolopoulos and Matakis (2016), 11e",No control specimen provided.,Embedded,None,D,Greece,B500C,10,150,EI,Internal carbon steel,Mechanical,32.2,20,5,0.81,520,0.02,40.59,3.70346749
+505,"Apostolopoulos and Matakis (2016), 12e",No control specimen provided.,Embedded,None,D,Greece,B500C,10,150,EI,Internal carbon steel,Mechanical,30.21,20,5,0.76,520,0.019,40.14,3.692388305
+506,"Apostolopoulos and Matakis (2016), 13e",No control specimen provided.,Embedded,None,D,Greece,B500C,10,150,EI,Internal carbon steel,Mechanical,31.01,20,5,0.78,520,0.02,40.29,3.696062727
+507,"Apostolopoulos and Matakis (2016), 14e",No control specimen provided.,Embedded,None,D,Greece,B500C,10,150,EI,Internal carbon steel,Mechanical,38.18,20,5,0.96,520,0.024,39.83,3.68452868
+508,"Apostolopoulos and Matakis (2016), 15e",No control specimen provided.,Embedded,None,D,Greece,B500C,10,150,EI,Internal carbon steel,Mechanical,27.02,20,5,0.68,520,0.017,41.42,3.723789228
+509,"Apostolopoulos and Matakis (2016), 21e",No control specimen provided.,Embedded,None,D,Greece,B500C,10,150,EI,Internal carbon steel,Mechanical,31.13,90,5,3.5,520,0.088,38.5,3.650704702
+510,"Apostolopoulos and Matakis (2016), 22e",No control specimen provided.,Embedded,None,D,Greece,B500C,10,150,EI,Internal carbon steel,Mechanical,43.74,90,5,4.9,520,0.123,36.75,3.604087932
+511,"Apostolopoulos and Matakis (2016), 23e",No control specimen provided.,Embedded,None,D,Greece,B500C,10,150,EI,Internal carbon steel,Mechanical,32.48,90,5,3.65,520,0.091,39.01,3.663804944
+512,"Apostolopoulos and Matakis (2016), 24e",No control specimen provided.,Embedded,None,D,Greece,B500C,10,150,EI,Internal carbon steel,Mechanical,38.33,90,5,4.3,520,0.108,37.96,3.636456973
+513,"Apostolopoulos and Matakis (2016), 24e",No control specimen provided.,Embedded,None,D,Greece,B500C,10,150,EI,Internal carbon steel,Mechanical,35.18,90,5,3.95,520,0.099,37.87,3.634149255
+514,"Balestra et al. (2016), BL1",Control.,Embedded,SLS,D,Brazil,BR250,16,160,Control,Control,N/A,0,0,0,0,0,0,52.62,3.963094711
+515,"Balestra et al. (2016), BL2",Control.,Embedded,SLS,D,Brazil,BR250,16,160,Control,Control,N/A,0,0,0,0,0,0,55.5,4.016294787
+516,"Balestra et al. (2016), BL3",Control.,Embedded,SLS,D,Brazil,BR250,16,160,Control,Control,N/A,0,0,0,0,0,0,55.11,4.00931421
+517,"Balestra et al. (2016), BL4",Control.,Embedded,SLS,D,Brazil,BR250,16,160,Control,Control,N/A,0,0,0,0,0,0,53.64,3.982207068
+518,"Balestra et al. (2016), BL5",Control.,Embedded,SLS,D,Brazil,BR250,16,160,Control,Control,N/A,0,0,0,0,0,0,52.81,3.966756182
+519,"Balestra et al. (2016), PB1",60 year old buried foundation slab.,Embedded,SLS,D,Brazil,BR250,16,160,N,Internal carbon steel,Mechanical,0.09,21915,1,1.53,330,0.061,55.35,4.013730858
+520,"Balestra et al. (2016), PB2",60 year old buried foundation slab.,Embedded,SLS,D,Brazil,BR250,16,160,N,Internal carbon steel,Mechanical,0.25,21915,1,4.22,330,0.169,52.73,3.965165589
+521,"Balestra et al. (2016), PB3",60 year old buried foundation slab.,Embedded,SLS,D,Brazil,BR250,16,160,N,Internal carbon steel,Mechanical,0.25,21915,1,4.25,330,0.17,48.85,3.888774849
+522,"Balestra et al. (2016), PB4",60 year old buried foundation slab.,Embedded,SLS,D,Brazil,BR250,16,160,N,Internal carbon steel,Mechanical,0.26,21915,1,4.51,330,0.18,59.94,4.093394111
+523,"Balestra et al. (2016), PB5",60 year old buried foundation slab.,Embedded,SLS,D,Brazil,BR250,16,160,N,Internal carbon steel,Mechanical,0.27,21915,1,4.56,330,0.182,48.36,3.878590309
+524,"Balestra et al. (2016), PB6",60 year old buried foundation slab.,Embedded,SLS,D,Brazil,BR250,16,160,N,Internal carbon steel,Mechanical,0.29,21915,1,4.86,330,0.194,52.54,3.961631882
+525,"Balestra et al. (2016), PB7",60 year old buried foundation slab.,Embedded,SLS,D,Brazil,BR250,16,160,N,Internal carbon steel,Mechanical,0.35,21915,1,5.94,330,0.238,46.94,3.848912797
+526,"Balestra et al. (2016), PB8",60 year old buried foundation slab.,Embedded,SLS,D,Brazil,BR250,16,160,N,Internal carbon steel,Mechanical,0.39,21915,1,6.63,330,0.265,50.02,3.912362948
+527,"Balestra et al. (2016), PB9",60 year old buried foundation slab.,Embedded,SLS,D,Brazil,BR250,16,160,N,Internal carbon steel,Mechanical,0.42,21915,1,7.08,330,0.283,49.84,3.908817874
+528,"Balestra et al. (2016), PB10",60 year old buried foundation slab.,Embedded,SLS,D,Brazil,BR250,16,160,N,Internal carbon steel,Mechanical,0.42,21915,1,7.09,330,0.284,51.42,3.940027202
+529,"Balestra et al. (2016), PB11",60 year old buried foundation slab.,Embedded,SLS,D,Brazil,BR250,16,160,N,Internal carbon steel,Mechanical,0.42,21915,1,7.14,330,0.286,46.64,3.842437101
+530,"Balestra et al. (2016), PB12",60 year old buried foundation slab.,Embedded,SLS,D,Brazil,BR250,16,160,N,Internal carbon steel,Mechanical,0.54,21915,1,9.16,330,0.366,51.69,3.945206299
+531,"Balestra et al. (2016), PB13",60 year old buried foundation slab.,Embedded,SLS,D,Brazil,BR250,16,160,N,Internal carbon steel,Mechanical,0.59,21915,1,9.9,330,0.396,55.11,4.009313042
+532,"Balestra et al. (2016), PB14",60 year old buried foundation slab.,Embedded,SLS,D,Brazil,BR250,16,160,N,Internal carbon steel,Mechanical,0.69,21915,1,11.63,330,0.465,61.26,4.115078129
+533,"Balestra et al. (2016), PB15",60 year old buried foundation slab.,Embedded,SLS,D,Brazil,BR250,16,160,N,Internal carbon steel,Mechanical,0.75,21915,1,12.56,330,0.502,53.2,3.97409599
+534,"Balestra et al. (2016), PB16",60 year old buried foundation slab.,Embedded,SLS,D,Brazil,BR250,16,160,N,Internal carbon steel,Mechanical,0.77,21915,1,12.9,330,0.516,50,3.912023005
+535,"Balestra et al. (2016), PB17",60 year old buried foundation slab.,Embedded,SLS,D,Brazil,BR250,16,160,N,Internal carbon steel,Mechanical,0.79,21915,1,13.2,330,0.528,51.7,3.945438439
+536,"Balestra et al. (2016), PB18",60 year old buried foundation slab.,Embedded,SLS,D,Brazil,BR250,16,160,N,Internal carbon steel,Mechanical,0.79,21915,1,13.2,330,0.528,43.84,3.780592262
+537,"Balestra et al. (2016), PB19",60 year old buried foundation slab.,Embedded,SLS,D,Brazil,BR250,16,160,N,Internal carbon steel,Mechanical,1.5,21915,1,24.15,330,0.966,41.69,3.730213318
+538,"Balestra et al. (2016), PB20",60 year old buried foundation slab.,Embedded,SLS,D,Brazil,BR250,16,160,N,Internal carbon steel,Mechanical,1.51,21915,1,24.33,330,0.973,39.07,3.665226925
+539,"Lu et al. (2016), Ref",Control.,Embedded,None,D,China,HRB400,16,160,Control,Control,N/A,0,0,0,0,0,0,94.7,4.550715784
+540,"Lu et al. (2016), 1-B20-1",,Embedded,None,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,2.83,1096,5,2.43,500,0.097,96.91,4.573801804
+541,"Lu et al. (2016), 1-B20-2",,Embedded,None,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,3.21,1096,5,2.75,500,0.11,94.1,4.544325986
+542,"Lu et al. (2016), 1-B20-3",,Embedded,None,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,3.28,1096,5,2.81,500,0.112,95.5,4.559172494
+543,"Lu et al. (2016), 1-B40-1",,Embedded,None,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,2.68,1096,5,2.3,500,0.092,82.84,4.41688104
+544,"Lu et al. (2016), 1-B40-2",,Embedded,None,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,2.18,1096,5,1.87,500,0.075,85.05,4.443229869
+545,"Lu et al. (2016), 1-B40-3",,Embedded,None,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,3.29,1096,5,2.82,500,0.113,83.84,4.428943912
+546,"Lu et al. (2016), 2-B20-1",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,4.41,1096,5,3.77,500,0.151,92.69,4.529255733
+547,"Lu et al. (2016), 2-B20-2",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,4.42,1096,5,3.78,500,0.151,91.89,4.520541081
+548,"Lu et al. (2016), 2-B20-3",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,4.15,1096,5,3.55,500,0.142,91.08,4.511749816
+549,"Lu et al. (2016), 2-B40-1",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,5.94,1096,5,5.06,500,0.202,84.85,4.440863004
+550,"Lu et al. (2016), 2-B40-2",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,5.21,1096,5,4.45,500,0.178,87.86,4.475790885
+551,"Lu et al. (2016), 2-B40-3",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,5.31,1096,5,4.53,500,0.181,86.46,4.459642899
+552,"Lu et al. (2016), 3-B20-1",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,5.11,1096,5,4.36,500,0.174,81.23,4.397272568
+553,"Lu et al. (2016), 3-B20-2",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,5.77,1096,5,4.92,500,0.197,81.43,4.399744757
+554,"Lu et al. (2016), 3-B20-3",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,6.78,1096,5,5.77,500,0.231,79.62,4.377271901
+555,"Lu et al. (2016), 3-B40-1",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,5.6,1096,5,4.78,500,0.191,87.26,4.468902224
+556,"Lu et al. (2016), 3-B40-2",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,6.15,1096,5,5.24,500,0.21,88.47,4.482632417
+557,"Lu et al. (2016), 3-B40-3",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,5.32,1096,5,4.54,500,0.182,85.65,4.450297036
+558,"Lu et al. (2016), 4-B20-1",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,4.34,1096,5,3.71,500,0.148,91.28,4.513954888
+559,"Lu et al. (2016), 4-B20-2",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,4.14,1096,5,3.54,500,0.142,90.88,4.50953987
+560,"Lu et al. (2016), 4-B20-3",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,4.08,1096,5,3.49,500,0.14,92.69,4.529255733
+561,"Lu et al. (2016), 4-B40-1",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,4.8,1096,5,4.1,500,0.164,94.3,4.546460459
+562,"Lu et al. (2016), 4-B40-2",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,4.44,1096,5,3.8,500,0.152,95.1,4.554953079
+563,"Lu et al. (2016), 4-B40-3",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,4.02,1096,5,3.44,500,0.138,96.31,4.567558288
+564,"Lu et al. (2016), 5-B20-1",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,4.82,1096,5,4.12,500,0.165,81.63,4.40221085
+565,"Lu et al. (2016), 5-B20-2",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,4.57,1096,5,3.91,500,0.156,82.84,4.41688104
+566,"Lu et al. (2016), 5-B20-3",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,4.8,1096,5,4.1,500,0.164,82.44,4.41201485
+567,"Lu et al. (2016), 5-B40-1",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,5.33,1096,5,4.55,500,0.182,82.03,4.407124865
+568,"Lu et al. (2016), 5-B40-2",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,4.31,1096,5,3.69,500,0.148,83.24,4.421723664
+569,"Lu et al. (2016), 5-B40-3",,Embedded,Pre-cracked,D,China,HRB400,16,160,EI,Internal carbon steel,Chemical,4.75,1096,5,4.06,500,0.162,81.43,4.399744757
+570,"Ou et al. (2016), N-D13-C",Control.,Embedded,SLS,D,Taiwan,A350,13,200,Control,Control,N/A,0,0,0,0,0,0,46.54,3.840224933
+571,"Ou et al. (2016), N-1",,Embedded,SLS,D,Taiwan,A350,13,200,N,Internal carbon steel,Chemical,2.09,14610,3.5,27.4,350,0.891,36.76,3.6045026
+572,"Ou et al. (2016), N-2",,Embedded,SLS,D,Taiwan,A350,13,200,N,Internal carbon steel,Chemical,4.08,14610,3.5,49.4,350,1.606,12.56,2.530891613
+573,"Ou et al. (2016), N-3",,Embedded,SLS,D,Taiwan,A350,13,200,N,Internal carbon steel,Chemical,4.11,14610,3.5,49.7,350,1.615,19.08,2.948626814
+574,"Ou et al. (2016), N-4",,Embedded,SLS,D,Taiwan,A350,13,200,N,Internal carbon steel,Chemical,4.31,14610,3.5,51.7,350,1.68,17.22,2.84597266
+575,"Ou et al. (2016), N-5",,Embedded,SLS,D,Taiwan,A350,13,200,N,Internal carbon steel,Chemical,4.47,14610,3.5,53.3,350,1.732,11.63,2.453930572
+576,"Ou et al. (2016), N-6",,Embedded,SLS,D,Taiwan,A350,13,200,N,Internal carbon steel,Chemical,5.15,14610,3.5,59.6,350,1.937,12.56,2.530891613
+577,"Ou et al. (2016), N-7",,Embedded,SLS,D,Taiwan,A350,13,200,N,Internal carbon steel,Chemical,6.07,14610,3.5,67.5,350,2.194,6.98,1.943104948
+578,"Ou et al. (2016), N-8",,Embedded,SLS,D,Taiwan,A350,13,200,N,Internal carbon steel,Chemical,6.5,14610,3.5,70.9,350,2.304,9.77,2.279577185
+579,"Ou et al. (2016), N-9",,Embedded,SLS,D,Taiwan,A350,13,200,N,Internal carbon steel,Chemical,8.2,14610,3.5,82.4,350,2.678,2.79,1.026814216
+580,"Ou et al. (2016), N-D16-C",Control.,Embedded,SLS,D,Taiwan,A250,16,200,Control,Control,N/A,0,0,0,0,0,0,50.39,3.919715733
+581,"Ou et al. (2016), N-10",,Embedded,SLS,D,Taiwan,A250,16,200,N,Internal carbon steel,Chemical,0.52,14610,3.5,5.9,350,0.236,49.38,3.899513025
+582,"Ou et al. (2016), N-11",,Embedded,SLS,D,Taiwan,A250,16,200,N,Internal carbon steel,Chemical,0.91,14610,3.5,10.2,350,0.408,41.32,3.721264794
+583,"Ou et al. (2016), N-12",,Embedded,SLS,D,Taiwan,A250,16,200,N,Internal carbon steel,Chemical,2.7,14610,3.5,28.7,350,1.148,35.77,3.577225424
+584,"Ou et al. (2016), N-13",,Embedded,SLS,D,Taiwan,A250,16,200,N,Internal carbon steel,Chemical,3.24,14610,3.5,33.8,350,1.352,31.24,3.441679932
+585,"Ou et al. (2016), N-14",,Embedded,SLS,D,Taiwan,A250,16,200,N,Internal carbon steel,Chemical,3.67,14610,3.5,37.8,350,1.512,30.23,3.408890109
+586,"Ou et al. (2016), N-15",,Embedded,SLS,D,Taiwan,A250,16,200,N,Internal carbon steel,Chemical,3.75,14610,3.5,38.5,350,1.54,27.71,3.321878732
+587,"Ou et al. (2016), N-D19-C",Control.,Embedded,SLS,D,Taiwan,A400,19,200,Control,Control,N/A,0,0,0,0,0,0,117.15,4.763489941
+588,"Ou et al. (2016), N-16",,Embedded,SLS,D,Taiwan,A400,19,200,N,Internal carbon steel,Chemical,2.55,14610,3.5,23.2,350,1.102,78.49,4.363012375
+589,"Ou et al. (2016), N-17",,Embedded,SLS,D,Taiwan,A400,19,200,N,Internal carbon steel,Chemical,4.02,14610,3.5,35.2,350,1.672,43.35,3.769237668
+590,"Ou et al. (2016), N-18",,Embedded,SLS,D,Taiwan,A400,19,200,N,Internal carbon steel,Chemical,6.15,14610,3.5,50.7,350,2.408,33.97,3.525615585
+591,"Ou et al. (2016), A-D13-C",Control.,Embedded,None,D,Taiwan,A706,13,200,Control,Control,N/A,0,0,0,0,0,0,55.85,4.022736622
+592,"Ou et al. (2016), A-1",,Embedded,None,D,Taiwan,A706,13,200,IC,External copper plate,Chemical,600,35,5,8.5,350,0.276,51.39,3.939355013
+593,"Ou et al. (2016), A-2",,Embedded,None,D,Taiwan,A706,13,200,IC,External copper plate,Chemical,600,35,5,9.5,350,0.309,50.83,3.928425943
+594,"Ou et al. (2016), A-3",,Embedded,None,D,Taiwan,A706,13,200,IC,External copper plate,Chemical,600,35,5,12,350,0.39,44.68,3.799593071
+595,"Ou et al. (2016), A-4",,Embedded,None,D,Taiwan,A706,13,200,IC,External copper plate,Chemical,600,35,5,13.2,350,0.429,48.59,3.883474555
+596,"Ou et al. (2016), A-5",,Embedded,None,D,Taiwan,A706,13,200,IC,External copper plate,Chemical,600,50,5,13.7,350,0.445,46.92,3.848383235
+597,"Ou et al. (2016), A-6",,Embedded,None,D,Taiwan,A706,13,200,IC,External copper plate,Chemical,600,50,5,13.8,350,0.449,49.15,3.894903251
+598,"Ou et al. (2016), A-7",,Embedded,None,D,Taiwan,A706,13,200,IC,External copper plate,Chemical,600,50,5,14.9,350,0.484,50.83,3.928425943
+599,"Ou et al. (2016), A-8",,Embedded,None,D,Taiwan,A706,13,200,IC,External copper plate,Chemical,600,50,5,15.3,350,0.497,46.92,3.848383235
+600,"Ou et al. (2016), A-9",,Embedded,None,D,Taiwan,A706,13,200,IC,External copper plate,Chemical,600,68,5,18.6,350,0.605,40.77,3.708025877
+601,"Ou et al. (2016), A-10",,Embedded,None,D,Taiwan,A706,13,200,IC,External copper plate,Chemical,600,68,5,21.3,350,0.692,43.57,3.774275263
+602,"Ou et al. (2016), A-11",,Embedded,None,D,Taiwan,A706,13,200,IC,External copper plate,Chemical,600,76,5,22.7,350,0.738,41.89,3.73505455
+603,"Ou et al. (2016), A-12",,Embedded,None,D,Taiwan,A706,13,200,IC,External copper plate,Chemical,600,102,5,28.4,350,0.923,36.3,3.591953706
+604,"Ou et al. (2016), A-13",,Embedded,None,D,Taiwan,A706,13,200,IC,External copper plate,Chemical,600,102,5,31.4,350,1.021,35.19,3.560701162
+605,"Ou et al. (2016), A-D-29C",Control.,Embedded,None,D,Taiwan,A706,29,200,Control,Control,N/A,0,0,0,0,0,0,303.71,5.716063518
+606,"Ou et al. (2016), A-14",,Embedded,None,D,Taiwan,A706,29,200,IC,External copper plate,Chemical,600,38,5,4.2,350,0.305,282.45,5.643492825
+607,"Ou et al. (2016), A-15",,Embedded,None,D,Taiwan,A706,29,200,IC,External copper plate,Chemical,600,38,5,5,350,0.363,291.56,5.675241524
+608,"Ou et al. (2016), A-16",,Embedded,None,D,Taiwan,A706,29,200,IC,External copper plate,Chemical,600,38,5,5.7,350,0.413,291.56,5.675241524
+609,"Ou et al. (2016), A-17",,Embedded,None,D,Taiwan,A706,29,200,IC,External copper plate,Chemical,600,38,5,5.8,350,0.421,282.45,5.643492825
+610,"Ou et al. (2016), A-18",,Embedded,None,D,Taiwan,A706,29,200,IC,External copper plate,Chemical,600,56,5,6.4,350,0.464,279.41,5.632681909
+611,"Ou et al. (2016), A-19",,Embedded,None,D,Taiwan,A706,29,200,IC,External copper plate,Chemical,600,56,5,7.3,350,0.529,273.34,5.610703002
+612,"Ou et al. (2016), A-20",,Embedded,None,D,Taiwan,A706,29,200,IC,External copper plate,Chemical,600,56,5,8.2,350,0.595,258.15,5.553544589
+613,"Ou et al. (2016), A-21",,Embedded,None,D,Taiwan,A706,29,200,IC,External copper plate,Chemical,600,56,5,8.4,350,0.609,270.3,5.599529702
+614,"Ou et al. (2016), A-22",,Embedded,None,D,Taiwan,A706,29,200,IC,External copper plate,Chemical,600,75,5,9.4,350,0.682,252.08,5.52973394
+615,"Ou et al. (2016), A-23",,Embedded,None,D,Taiwan,A706,29,200,IC,External copper plate,Chemical,600,75,5,10.1,350,0.732,264.23,5.576801451
+616,"Ou et al. (2016), A-24",,Embedded,None,D,Taiwan,A706,29,200,IC,External copper plate,Chemical,600,75,5,10.9,350,0.79,233.85,5.454698754
+617,"Ou et al. (2016), A-25",,Embedded,None,D,Taiwan,A706,29,200,IC,External copper plate,Chemical,600,75,5,11.4,350,0.827,267.26,5.588230147
+618,"Ou et al. (2016), A-26",,Embedded,None,D,Taiwan,A706,29,200,IC,External copper plate,Chemical,600,114,5,12.1,350,0.877,239.93,5.480341185
+619,"Ou et al. (2016), A-27",,Embedded,None,D,Taiwan,A706,29,200,IC,External copper plate,Chemical,600,114,5,13.6,350,0.986,233.85,5.454698754
+620,"Ou et al. (2016), A-28",,Embedded,None,D,Taiwan,A706,29,200,IC,External copper plate,Chemical,600,114,5,17.1,350,1.24,206.52,5.330401037
+621,"Ou et al. (2016), A-29",,Embedded,None,D,Taiwan,A706,29,200,IC,External copper plate,Chemical,600,114,5,19.9,350,1.443,182.22,5.205237894
+622,"Imperatore et al. (2017), A1",Control,Bare,None,D,Italy,S500C,8,200,Control,Control,N/A,0,0,0,0,0,0,27.87,3.327550841
+623,"Imperatore et al. (2017), A2",Control,Bare,None,D,Italy,S500C,8,200,Control,Control,N/A,0,0,0,0,0,0,25.16,3.225255432
+624,"Imperatore et al. (2017), A3","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,8,200,IC,External copper plate,Chemical,100,125,3,8.97,300,0.179,21.03,3.04594999
+625,"Imperatore et al. (2017), A4","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,8,200,IC,External copper plate,Chemical,100,125,3,10.81,300,0.216,19.1,2.949688335
+626,"Imperatore et al. (2017), A5","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,8,200,IC,External copper plate,Chemical,100,250,3,19.45,300,0.389,17.94,2.887032857
+627,"Imperatore et al. (2017), A6","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,8,200,IC,External copper plate,Chemical,100,250,3,20.63,300,0.413,15.87,2.764430535
+628,"Imperatore et al. (2017), A7","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,8,200,IC,External copper plate,Chemical,100,250,3,21.71,300,0.434,18.07,2.893976365
+629,"Imperatore et al. (2017), A8","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,8,200,IC,External copper plate,Chemical,100,280,3,22.21,300,0.444,18.65,2.925846146
+630,"Imperatore et al. (2017), A9","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,8,200,IC,External copper plate,Chemical,100,280,3,23.45,300,0.469,14.52,2.675527009
+631,"Imperatore et al. (2017), A10","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,8,200,IC,External copper plate,Chemical,100,280,3,23.65,300,0.473,10.32,2.334471282
+632,"Imperatore et al. (2017), A11","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,8,200,IC,External copper plate,Chemical,100,315,3,25.66,300,0.513,16.13,2.780680892
+633,"Imperatore et al. (2017), A12","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,8,200,IC,External copper plate,Chemical,100,315,3,25.8,300,0.516,17.1,2.838961498
+634,"Imperatore et al. (2017), A13","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,8,200,IC,External copper plate,Chemical,100,375,3,28.55,300,0.571,18.13,2.89762318
+635,"Imperatore et al. (2017), A14","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,8,200,IC,External copper plate,Chemical,100,375,3,29.15,300,0.583,12.07,2.49039158
+636,"Imperatore et al. (2017), A15","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,8,200,IC,External copper plate,Chemical,100,630,3,53.21,300,1.064,4.58,1.521917315
+637,"Imperatore et al. (2017), B1",Control,Bare,None,D,Italy,S500C,12,200,Control,Control,N/A,0,0,0,0,0,0,61.13,4.112986385
+638,"Imperatore et al. (2017), B2",Control,Bare,None,D,Italy,S500C,12,200,Control,Control,N/A,0,0,0,0,0,0,61.96,4.126489016
+639,"Imperatore et al. (2017), B3",Control,Bare,None,D,Italy,S500C,12,200,Control,Control,N/A,0,0,0,0,0,0,60.57,4.103799721
+640,"Imperatore et al. (2017), B4","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,12,200,IC,External copper plate,Chemical,100,95,3,5,300,0.15,52.57,3.962145615
+641,"Imperatore et al. (2017), B5","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,12,200,IC,External copper plate,Chemical,100,140,3,8.22,300,0.247,54.79,4.003507696
+642,"Imperatore et al. (2017), B6","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,12,200,IC,External copper plate,Chemical,100,190,3,9.37,300,0.281,51.88,3.948952635
+643,"Imperatore et al. (2017), B7","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,12,200,IC,External copper plate,Chemical,100,190,3,11.26,300,0.338,50.49,3.921775297
+644,"Imperatore et al. (2017), B8","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,12,200,IC,External copper plate,Chemical,100,280,3,14.2,300,0.426,51.33,3.938275377
+645,"Imperatore et al. (2017), B9","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,12,200,IC,External copper plate,Chemical,100,330,3,17,300,0.51,42.89,3.758592067
+646,"Imperatore et al. (2017), B10","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,12,200,IC,External copper plate,Chemical,100,330,3,17,300,0.51,43.16,3.76491414
+647,"Imperatore et al. (2017), B11","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,12,200,IC,External copper plate,Chemical,100,330,3,17.9,300,0.537,52.02,3.951589813
+648,"Imperatore et al. (2017), B12","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,12,200,IC,External copper plate,Chemical,100,330,3,18,300,0.54,43.58,3.774575383
+649,"Imperatore et al. (2017), B13","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,12,200,IC,External copper plate,Chemical,100,330,3,18.51,300,0.555,40.81,3.709000658
+650,"Imperatore et al. (2017), B14","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,12,200,IC,External copper plate,Chemical,100,375,3,19.72,300,0.592,51.6,3.943599189
+651,"Imperatore et al. (2017), B15","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,12,200,IC,External copper plate,Chemical,100,470,3,24.57,300,0.737,40.26,3.695333581
+652,"Imperatore et al. (2017), B16","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,12,200,IC,External copper plate,Chemical,100,565,3,28.68,300,0.86,41.67,3.729781445
+653,"Imperatore et al. (2017), B17","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,12,200,IC,External copper plate,Chemical,100,630,3,32.68,300,0.98,42.47,3.748797944
+654,"Imperatore et al. (2017), C1",Control,Bare,None,D,Italy,S500C,16,200,Control,Control,N/A,0,0,0,0,0,0,112.38,4.721885986
+655,"Imperatore et al. (2017), C2",Control,Bare,None,D,Italy,S500C,16,200,Control,Control,N/A,0,0,0,0,0,0,105.49,4.658616162
+656,"Imperatore et al. (2017), C3",Control,Bare,None,D,Italy,S500C,16,200,Control,Control,N/A,0,0,0,0,0,0,107.7,4.679386724
+657,"Imperatore et al. (2017), C4",Control,Bare,None,D,Italy,S500C,16,200,Control,Control,N/A,0,0,0,0,0,0,105.49,4.658616162
+658,"Imperatore et al. (2017), C5",Control,Bare,None,D,Italy,S500C,16,200,Control,Control,N/A,0,0,0,0,0,0,105.74,4.660983251
+659,"Imperatore et al. (2017), C2","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,16,200,IC,External copper plate,Chemical,100,125,3,4.4,300,0.176,97.63,4.581184823
+660,"Imperatore et al. (2017), C3","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,16,200,IC,External copper plate,Chemical,100,125,3,5.3,300,0.212,93.44,4.537319519
+661,"Imperatore et al. (2017), C4","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,16,200,IC,External copper plate,Chemical,100,190,3,7.9,300,0.316,96.39,4.568402462
+662,"Imperatore et al. (2017), C5","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,16,200,IC,External copper plate,Chemical,100,190,3,8.5,300,0.34,95.41,4.558172914
+663,"Imperatore et al. (2017), C6","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,16,200,IC,External copper plate,Chemical,100,250,3,9,300,0.36,94.18,4.545207845
+664,"Imperatore et al. (2017), C7","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,16,200,IC,External copper plate,Chemical,100,250,3,9,300,0.36,78.93,4.368561384
+665,"Imperatore et al. (2017), C7","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,16,200,IC,External copper plate,Chemical,100,250,3,10.72,300,0.429,92.71,4.529422409
+666,"Imperatore et al. (2017), C8","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,16,200,IC,External copper plate,Chemical,100,250,3,10.8,300,0.432,76.23,4.333755086
+667,"Imperatore et al. (2017), C9","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,16,200,IC,External copper plate,Chemical,100,250,3,10.9,300,0.436,91.97,4.521429817
+668,"Imperatore et al. (2017), C10","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,16,200,IC,External copper plate,Chemical,100,250,3,11,300,0.44,90.73,4.507888063
+669,"Imperatore et al. (2017), C11","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,16,200,IC,External copper plate,Chemical,100,250,3,11,300,0.44,88.28,4.480490926
+670,"Imperatore et al. (2017), C12","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,16,200,IC,External copper plate,Chemical,100,315,3,11.55,300,0.462,77.71,4.352919605
+671,"Imperatore et al. (2017), C13","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,16,200,IC,External copper plate,Chemical,100,315,3,12.2,300,0.488,77.21,4.346528982
+672,"Imperatore et al. (2017), C14","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,16,200,IC,External copper plate,Chemical,100,315,3,12.48,300,0.499,75.74,4.327306422
+673,"Imperatore et al. (2017), C15","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,16,200,IC,External copper plate,Chemical,100,315,3,12.6,300,0.504,91.48,4.516065711
+674,"Imperatore et al. (2017), C16","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,16,200,IC,External copper plate,Chemical,100,500,3,19,300,0.76,81.15,4.396299294
+675,"Imperatore et al. (2017), C17","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,16,200,IC,External copper plate,Chemical,100,500,3,19,300,0.76,75.49,4.324000197
+676,"Imperatore et al. (2017), C18","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,16,200,IC,External copper plate,Chemical,100,630,3,24,300,0.96,69.34,4.239079625
+677,"Imperatore et al. (2017), C19","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,16,200,IC,External copper plate,Chemical,100,630,3,29,300,1.16,62.71,4.138441189
+678,"Imperatore et al. (2017), C20","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,20,200,IC,External copper plate,Chemical,100,630,3,29,300,1.45,60.25,4.098502572
+679,"Imperatore et al. (2017), C21","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,20,200,IC,External copper plate,Chemical,100,630,3,36,300,1.8,50.16,3.915217896
+680,"Imperatore et al. (2017), D1",Control,Bare,None,D,Italy,S500C,20,200,Control,Control,N/A,0,0,0,0,0,0,170.27,5.137385412
+681,"Imperatore et al. (2017), D2",Control,Bare,None,D,Italy,S500C,20,200,Control,Control,N/A,0,0,0,0,0,0,168.49,5.126876401
+682,"Imperatore et al. (2017), D3",Control,Bare,None,D,Italy,S500C,20,200,Control,Control,N/A,0,0,0,0,0,0,164.95,5.105642398
+683,"Imperatore et al. (2017), D4",Control,Bare,None,D,Italy,S500C,20,200,Control,Control,N/A,0,0,0,0,0,0,159.98,5.075048807
+684,"Imperatore et al. (2017), D2","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,20,200,IC,External copper plate,Chemical,100,235,3,8.8,300,0.44,136.57,4.916837304
+685,"Imperatore et al. (2017), D3","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,20,200,IC,External copper plate,Chemical,100,315,3,10.5,300,0.525,148.63,5.001459996
+686,"Imperatore et al. (2017), D4","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,20,200,IC,External copper plate,Chemical,100,315,3,10.78,300,0.539,146.5,4.987025428
+687,"Imperatore et al. (2017), D5","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,20,200,IC,External copper plate,Chemical,100,315,3,10.8,300,0.54,112.8,4.725616339
+688,"Imperatore et al. (2017), D6","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,20,200,IC,External copper plate,Chemical,100,315,3,10.8,300,0.54,133.38,4.893202197
+689,"Imperatore et al. (2017), D7","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,20,200,IC,External copper plate,Chemical,100,315,3,10.83,300,0.542,144.38,4.972414081
+690,"Imperatore et al. (2017), D8","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,20,200,IC,External copper plate,Chemical,100,375,3,11.4,300,0.57,124.51,4.824386034
+691,"Imperatore et al. (2017), D9","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,20,200,IC,External copper plate,Chemical,100,375,3,12.7,300,0.635,123.46,4.815917217
+692,"Imperatore et al. (2017), D10","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,20,200,IC,External copper plate,Chemical,100,375,3,13.7,300,0.685,118.48,4.77474417
+693,"Imperatore et al. (2017), D12","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,20,200,IC,External copper plate,Chemical,100,630,3,18.3,300,0.915,130.19,4.868994922
+694,"Imperatore et al. (2017), D13","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,20,200,IC,External copper plate,Chemical,100,630,3,18.8,300,0.94,100.39,4.609062601
+695,"Imperatore et al. (2017), D14","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,20,200,IC,External copper plate,Chemical,100,630,3,19.09,300,0.955,126.64,4.841348416
+696,"Imperatore et al. (2017), D15","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,20,200,IC,External copper plate,Chemical,100,630,3,19.38,300,0.969,124.16,4.821571056
+697,"Imperatore et al. (2017), D16","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,20,200,IC,External copper plate,Chemical,100,630,3,19.79,300,0.99,122.38,4.807130958
+698,"Imperatore et al. (2017), D17","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,20,200,IC,External copper plate,Chemical,100,630,3,23,300,1.15,113.88,4.735145262
+699,"Imperatore et al. (2017), D18","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,20,200,IC,External copper plate,Chemical,100,700,3,27.69,300,1.385,105,4.65396035
+700,"Imperatore et al. (2017), D19","Current of 0.1 mA reported, which is equivalent to 2.58 μA/cm2 for a 300 mm bar length. This is too small a current density to achieve the reported mass losses. Assume current density = 100 μA/cm2.",Bare,None,D,Italy,S500C,20,200,IC,External copper plate,Chemical,100,700,3,28.21,300,1.411,97.55,4.580365067
+701,"Fernandez and Berrocal (2019), ST1-1",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,129.5,4.863680881
+702,"Fernandez and Berrocal (2019), ST1-2",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,130.2,4.86907173
+703,"Fernandez and Berrocal (2019), ST1-3",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,142.7,4.960744524
+704,"Fernandez and Berrocal (2019), ST1-4",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,144.7,4.974662634
+705,"Fernandez and Berrocal (2019), ST1-5",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,125.6,4.833102254
+706,"Fernandez and Berrocal (2019), ST1-6",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,124.3,4.822697999
+707,"Fernandez and Berrocal (2019), ST1-7",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,122.3,4.806477043
+708,"Fernandez and Berrocal (2019), ST1-8",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,125.2,4.829912459
+709,"Fernandez and Berrocal (2019), ST1-9",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,141.4,4.951592753
+710,"Fernandez and Berrocal (2019), ST1-10",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,141.2,4.950177325
+711,"Fernandez and Berrocal (2019), ST1-11",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,147.1,4.991112628
+712,"Fernandez and Berrocal (2019), ST1-12",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,141.2,4.950177325
+713,"Fernandez and Berrocal (2019), ST1-13",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,132.4,4.885827644
+714,"Fernandez and Berrocal (2019), ST1-14",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,142.4,4.958639999
+715,"Fernandez and Berrocal (2019), ST1-15",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,132.9,4.889596966
+716,"Fernandez and Berrocal (2019), ST1-16",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,138.9,4.93375425
+717,"Fernandez and Berrocal (2019), ST1-17",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,142.1,4.956531035
+718,"Fernandez and Berrocal (2019), ST1-18",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,139.1,4.935193099
+719,"Fernandez and Berrocal (2019), ST1-19",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,139.5,4.938064601
+720,"Fernandez and Berrocal (2019), ST1-20",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,142.3,4.957937505
+721,"Fernandez and Berrocal (2019), ST1-21",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,145.3,4.978800571
+722,"Fernandez and Berrocal (2019), ST1-22",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,145.3,4.978800571
+723,"Fernandez and Berrocal (2019), ST1-23",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,136.8,4.918520005
+724,"Fernandez and Berrocal (2019), ST1-24",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,130.4,4.870606649
+725,"Fernandez and Berrocal (2019), ST1-25",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,146.3,4.985659308
+726,"Fernandez and Berrocal (2019), ST1-26",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,135.9,4.911919321
+727,"Fernandez and Berrocal (2019), ST1-27",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,135.1,4.906015245
+728,"Fernandez and Berrocal (2019), ST1-28",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,130.9,4.874433673
+729,"Fernandez and Berrocal (2019), ST1-29",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,125.5,4.832305759
+730,"Fernandez and Berrocal (2019), ST1-30",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,150.8,5.015954456
+731,"Fernandez and Berrocal (2019), ST1-31",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,141.6,4.953006181
+732,"Fernandez and Berrocal (2019), ST1-32",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,148,4.997212274
+733,"Fernandez and Berrocal (2019), ST1-33",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,145,4.976733742
+734,"Fernandez and Berrocal (2019), ST1-34",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,127,4.844187086
+735,"Fernandez and Berrocal (2019), ST1-35",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,130.1,4.868303386
+736,"Fernandez and Berrocal (2019), ST1-36",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,128.2,4.853591544
+737,"Fernandez and Berrocal (2019), ST1-37",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,137,4.919980926
+738,"Fernandez and Berrocal (2019), ST1-38",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,148.8,5.002603122
+739,"Fernandez and Berrocal (2019), ST1-39",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,129.3,4.862135286
+740,"Fernandez and Berrocal (2019), ST1-40",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,128.2,4.853591544
+741,"Fernandez and Berrocal (2019), ST1-41",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,136.4,4.915591745
+742,"Fernandez and Berrocal (2019), ST1-42",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,143,4.96284463
+743,"Fernandez and Berrocal (2019), ST1-43",Control. 30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,170,Control,Control,N/A,0,0,0,0,0,0,132,4.882801923
+744,"Fernandez and Berrocal (2019), ST2-1",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,1.63,10958,3.5,13.61,400,0.544,115.6,4.750135956
+745,"Fernandez and Berrocal (2019), ST2-2",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,1.69,10958,3.5,14.03,400,0.561,94.2,4.545420182
+746,"Fernandez and Berrocal (2019), ST2-3",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,1.09,10958,3.5,9.21,400,0.368,113.6,4.732683506
+747,"Fernandez and Berrocal (2019), ST2-4",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0.15,10958,3.5,1.33,400,0.053,122.3,4.806477043
+748,"Fernandez and Berrocal (2019), ST2-5",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0.78,10958,3.5,6.59,400,0.264,120.7,4.793308128
+749,"Fernandez and Berrocal (2019), ST2-6",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0.79,10958,3.5,6.73,400,0.269,116.1,4.754451889
+750,"Fernandez and Berrocal (2019), ST2-7",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0.29,10958,3.5,2.5,400,0.1,122.3,4.806477043
+751,"Fernandez and Berrocal (2019), ST2-8",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0,10958,3.5,0,400,0,141.9,4.955122584
+752,"Fernandez and Berrocal (2019), ST2-9",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0,10958,3.5,0,400,0,141.7,4.953712147
+753,"Fernandez and Berrocal (2019), ST2-10",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0,10958,3.5,0,400,0,137.6,4.924350925
+754,"Fernandez and Berrocal (2019), ST2-11",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0.58,10958,3.5,4.97,400,0.199,126.3,4.838660029
+755,"Fernandez and Berrocal (2019), ST2-12",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0.1,10958,3.5,0.89,400,0.036,139.3,4.936629881
+756,"Fernandez and Berrocal (2019), ST2-13",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0,10958,3.5,0,400,0,143.6,4.967031657
+757,"Fernandez and Berrocal (2019), ST2-14",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0.52,10958,3.5,4.41,400,0.176,120.4,4.790819533
+758,"Fernandez and Berrocal (2019), ST2-15",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0.96,10958,3.5,8.09,400,0.324,110.4,4.704110134
+759,"Fernandez and Berrocal (2019), ST2-16",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,1.63,10958,3.5,13.56,400,0.542,98.4,4.589040804
+760,"Fernandez and Berrocal (2019), ST2-17",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0.38,10958,3.5,3.28,400,0.131,123.8,4.81866736
+761,"Fernandez and Berrocal (2019), ST2-18",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,2.34,10958,3.5,19.21,400,0.768,95.2,4.555979942
+762,"Fernandez and Berrocal (2019), ST2-19",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,1.66,10958,3.5,13.8,400,0.552,105.6,4.659658371
+763,"Fernandez and Berrocal (2019), ST2-20",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,1.84,10958,3.5,15.25,400,0.61,104.5,4.649187071
+764,"Fernandez and Berrocal (2019), ST2-21",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,1.33,10958,3.5,11.11,400,0.444,115.2,4.746669748
+765,"Fernandez and Berrocal (2019), ST2-22",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,1,10958,3.5,8.45,400,0.338,116.4,4.757032535
+766,"Fernandez and Berrocal (2019), ST2-23",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,1.05,10958,3.5,8.82,400,0.353,112.5,4.722953222
+767,"Fernandez and Berrocal (2019), ST2-24",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0.63,10958,3.5,5.4,400,0.216,120.3,4.789988623
+768,"Fernandez and Berrocal (2019), ST2-25",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0.16,10958,3.5,1.39,400,0.056,134.6,4.902307417
+769,"Fernandez and Berrocal (2019), ST2-26",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,1.19,10958,3.5,9.99,400,0.4,117.1,4.763028271
+770,"Fernandez and Berrocal (2019), ST2-27",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0,10958,3.5,0,400,0,133.8,4.896346148
+771,"Fernandez and Berrocal (2019), ST2-28",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0,10958,3.5,0,400,0,135.1,4.906015245
+772,"Fernandez and Berrocal (2019), ST2-29",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0,10958,3.5,0,400,0,134.5,4.901564199
+773,"Fernandez and Berrocal (2019), ST2-30",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,1.5,10958,3.5,12.52,400,0.501,104.5,4.649187071
+774,"Fernandez and Berrocal (2019), ST2-31",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,1.75,10958,3.5,14.55,400,0.582,103,4.634728988
+775,"Fernandez and Berrocal (2019), ST2-32",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0.94,10958,3.5,7.95,400,0.318,111.9,4.717605615
+776,"Fernandez and Berrocal (2019), ST2-33",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,1.71,10958,3.5,14.22,400,0.569,98.6,4.591071262
+777,"Fernandez and Berrocal (2019), ST2-34",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0.72,10958,3.5,6.11,400,0.244,75,4.317488114
+778,"Fernandez and Berrocal (2019), ST2-35",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0.99,10958,3.5,8.34,400,0.334,104.5,4.649187071
+779,"Fernandez and Berrocal (2019), ST2-36",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,1.27,10958,3.5,10.64,400,0.426,104.5,4.649187071
+780,"Fernandez and Berrocal (2019), ST2-37",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,1.5,10958,3.5,12.49,400,0.5,99.5,4.600157644
+781,"Fernandez and Berrocal (2019), ST2-38",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,1.75,10958,3.5,14.57,400,0.583,104.8,4.652053772
+782,"Fernandez and Berrocal (2019), ST2-39",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0.27,10958,3.5,2.31,400,0.092,120.2,4.789157022
+783,"Fernandez and Berrocal (2019), ST2-40",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0.75,10958,3.5,6.33,400,0.253,121.6,4.80073697
+784,"Fernandez and Berrocal (2019), ST2-41",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0,10958,3.5,0,400,0,127.2,4.845760651
+785,"Fernandez and Berrocal (2019), ST2-42",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0,10958,3.5,0,400,0,120.4,4.790819533
+786,"Fernandez and Berrocal (2019), ST2-43",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0,10958,3.5,0,400,0,127.4,4.847331743
+787,"Fernandez and Berrocal (2019), ST2-44",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0,10958,3.5,0,400,0,126.8,4.842611042
+788,"Fernandez and Berrocal (2019), ST2-45",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0,10958,3.5,0,400,0,128,4.852030264
+789,"Fernandez and Berrocal (2019), ST2-46",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,1.48,10958,3.5,12.39,400,0.496,99.4,4.599152114
+790,"Fernandez and Berrocal (2019), ST2-47",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0.42,10958,3.5,3.57,400,0.143,126.3,4.838660029
+791,"Fernandez and Berrocal (2019), ST2-48",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0.23,10958,3.5,2.01,400,0.08,127.8,4.850466542
+792,"Fernandez and Berrocal (2019), ST2-49",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0.19,10958,3.5,1.6,400,0.064,126.3,4.838660029
+793,"Fernandez and Berrocal (2019), ST2-50",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0.29,10958,3.5,2.47,400,0.099,123.7,4.817859279
+794,"Fernandez and Berrocal (2019), ST2-51",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,270,N,Internal carbon steel,Sandblasting,0.08,10958,3.5,0.71,400,0.028,127,4.844187086
+795,"Fernandez and Berrocal (2019), ST3-1",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,0.93,10958,3.5,7.9,585,0.316,115.9,4.75272775
+796,"Fernandez and Berrocal (2019), ST3-2",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,1.11,10958,3.5,9.37,585,0.375,105.3,4.656813419
+797,"Fernandez and Berrocal (2019), ST3-3",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,1.05,10958,3.5,8.85,585,0.354,115.6,4.750135956
+798,"Fernandez and Berrocal (2019), ST3-4",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,0.87,10958,3.5,7.34,585,0.294,121.5,4.799914263
+799,"Fernandez and Berrocal (2019), ST3-5",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,1.66,10958,3.5,13.84,585,0.554,123.6,4.817050545
+800,"Fernandez and Berrocal (2019), ST3-6",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,0.84,10958,3.5,7.1,585,0.284,124.8,4.826712456
+801,"Fernandez and Berrocal (2019), ST3-7",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,1.21,10958,3.5,10.17,585,0.407,122.1,4.804840381
+802,"Fernandez and Berrocal (2019), ST3-8",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,0.98,10958,3.5,8.32,585,0.333,119.9,4.786658062
+803,"Fernandez and Berrocal (2019), ST3-9",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,0.6,10958,3.5,5.13,585,0.205,123.5,4.816241156
+804,"Fernandez and Berrocal (2019), ST3-10",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,1.04,10958,3.5,8.76,585,0.35,116.4,4.757032535
+805,"Fernandez and Berrocal (2019), ST3-11",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,0.53,10958,3.5,4.53,585,0.181,120,4.787491743
+806,"Fernandez and Berrocal (2019), ST3-12",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,0.93,10958,3.5,7.87,585,0.315,122,4.804021045
+807,"Fernandez and Berrocal (2019), ST3-13",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,1.73,10958,3.5,14.37,585,0.575,107.3,4.67562865
+808,"Fernandez and Berrocal (2019), ST3-14",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,1.69,10958,3.5,14.08,585,0.563,111.8,4.716711561
+809,"Fernandez and Berrocal (2019), ST3-15",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,0.66,10958,3.5,5.64,585,0.226,118.9,4.778282804
+810,"Fernandez and Berrocal (2019), ST3-16",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,0.96,10958,3.5,8.14,585,0.326,111.7,4.715816706
+811,"Fernandez and Berrocal (2019), ST3-17",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,0.7,10958,3.5,5.97,585,0.239,112.9,4.726502471
+812,"Fernandez and Berrocal (2019), ST3-18",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,0.88,10958,3.5,7.47,585,0.299,110.7,4.70682384
+813,"Fernandez and Berrocal (2019), ST3-19",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,1.71,10958,3.5,14.2,585,0.568,95,4.553876892
+814,"Fernandez and Berrocal (2019), ST3-20",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,1.52,10958,3.5,12.65,585,0.506,113.3,4.730039168
+815,"Fernandez and Berrocal (2019), ST3-21",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,0.91,10958,3.5,7.72,585,0.309,111.7,4.715816706
+816,"Fernandez and Berrocal (2019), ST3-22",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,1.37,10958,3.5,11.48,585,0.459,104.8,4.652053772
+817,"Fernandez and Berrocal (2019), ST3-23",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,0.66,10958,3.5,5.64,585,0.226,113.7,4.733563401
+818,"Fernandez and Berrocal (2019), ST3-24",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,0.56,10958,3.5,4.76,585,0.19,121.9,4.803201036
+819,"Fernandez and Berrocal (2019), ST3-25",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,1.32,10958,3.5,11.03,585,0.441,105.4,4.657762636
+820,"Fernandez and Berrocal (2019), ST3-26",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,2.15,10958,3.5,17.7,585,0.708,100.8,4.613138356
+821,"Fernandez and Berrocal (2019), ST3-27",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,0.61,10958,3.5,5.2,585,0.208,121.4,4.799090879
+822,"Fernandez and Berrocal (2019), ST3-28",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,0.49,10958,3.5,4.22,585,0.169,117.3,4.764734756
+823,"Fernandez and Berrocal (2019), ST3-29",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,1.84,10958,3.5,15.29,585,0.612,100.2,4.607168189
+824,"Fernandez and Berrocal (2019), ST3-30",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,1.84,10958,3.5,15.26,585,0.61,95.8,4.562262685
+825,"Fernandez and Berrocal (2019), ST3-31",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,2.26,10958,3.5,18.58,585,0.743,95.2,4.555979942
+826,"Fernandez and Berrocal (2019), ST3-32",30 year old decommissioned bridge.,Embedded,SLS,D,Sweden,Ks60,16,455,N,Internal carbon steel,Sandblasting,1.46,10958,3.5,12.17,585,0.487,110.5,4.705015521
+827,"Chen et al. (2020), S-1",Control. Normal ductility TEMPCORE,Embedded,None,D,Sweden,B500B,10,380,Control,Control,N/A,0,0,0,0,0,0,40.42,3.699324712
+828,"Chen et al. (2020), S-2",Control. Normal ductility TEMPCORE,Embedded,None,D,Sweden,B500B,10,380,Control,Control,N/A,0,0,0,0,0,0,44.94,3.805328267
+829,"Chen et al. (2020), S-3",Control. Normal ductility TEMPCORE,Embedded,None,D,Sweden,B500B,10,380,Control,Control,N/A,0,0,0,0,0,0,42.79,3.75630443
+830,"Chen et al. (2020), S-4",Control. Normal ductility TEMPCORE,Embedded,None,D,Sweden,B500B,10,380,Control,Control,N/A,0,0,0,0,0,0,39.06,3.665098925
+831,"Chen et al. (2020), S-5",Control. Normal ductility TEMPCORE,Embedded,None,D,Sweden,B500B,10,380,Control,Control,N/A,0,0,0,0,0,0,41.57,3.727378753
+832,"Chen et al. (2020), S-6","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,1.13,1095,16.5,1.56,500,0.039,40.1,3.691376334
+833,"Chen et al. (2020), S-7","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,1.82,1095,16.5,2.5,500,0.063,43.33,3.768845236
+834,"Chen et al. (2020), S-8","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,2.27,1095,16.5,3.11,500,0.078,40.19,3.693618208
+835,"Chen et al. (2020), S-9","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,2.38,1095,16.5,3.26,500,0.082,40.79,3.708436953
+836,"Chen et al. (2020), S-10","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,2.58,1095,16.5,3.53,500,0.088,40.09,3.691126927
+837,"Chen et al. (2020), S-11","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,2.59,1095,16.5,3.54,500,0.089,41.22,3.718923575
+838,"Chen et al. (2020), S-12","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,2.97,1095,16.5,4.05,500,0.101,40.53,3.702042441
+839,"Chen et al. (2020), S-13","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,3.08,1095,16.5,4.2,500,0.105,40.86,3.710151589
+840,"Chen et al. (2020), S-14","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,3.19,1095,16.5,4.36,500,0.109,39.72,3.681854839
+841,"Chen et al. (2020), S-15","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,3.32,1095,16.5,4.53,500,0.113,41.41,3.723522398
+842,"Chen et al. (2020), S-16","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,3.68,1095,16.5,5.01,500,0.125,39.16,3.667655818
+843,"Chen et al. (2020), S-17","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,3.69,1095,16.5,5.03,500,0.126,42.65,3.753027274
+844,"Chen et al. (2020), S-18","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,3.94,1095,16.5,5.36,500,0.134,38.66,3.654805474
+845,"Chen et al. (2020), S-19","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,4.24,1095,16.5,5.77,500,0.144,38.71,3.656097965
+846,"Chen et al. (2020), S-20","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,4.29,1095,16.5,5.83,500,0.146,39.68,3.680847282
+847,"Chen et al. (2020), S-21","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,4.33,1095,16.5,5.88,500,0.147,40.38,3.698334613
+848,"Chen et al. (2020), S-22","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,4.64,1095,16.5,6.3,500,0.158,38.64,3.654288009
+849,"Chen et al. (2020), S-23","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,5.47,1095,16.5,7.4,500,0.185,38.78,3.65790465
+850,"Chen et al. (2020), S-24","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,5.52,1095,16.5,7.47,500,0.187,38.94,3.662022
+851,"Chen et al. (2020), S-25","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,5.66,1095,16.5,7.66,500,0.192,38.2,3.642835516
+852,"Chen et al. (2020), S-26","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,6.17,1095,16.5,8.33,500,0.208,39.41,3.674019591
+853,"Chen et al. (2020), S-27","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,6.33,1095,16.5,8.55,500,0.214,38.16,3.641787847
+854,"Chen et al. (2020), S-28","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,6.43,1095,16.5,8.67,500,0.217,39.52,3.676806873
+855,"Chen et al. (2020), S-29","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,6.43,1095,16.5,8.68,500,0.217,36.63,3.600867577
+856,"Chen et al. (2020), S-30","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,6.79,1095,16.5,9.15,500,0.229,35.99,3.583241122
+857,"Chen et al. (2020), S-31","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,7.35,1095,16.5,9.89,500,0.247,39.14,3.667144962
+858,"Chen et al. (2020), S-32","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,7.39,1095,16.5,9.94,500,0.249,37.87,3.634159242
+859,"Chen et al. (2020), S-33","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,7.48,1095,16.5,10.05,500,0.251,36.85,3.606855619
+860,"Chen et al. (2020), S-34","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,7.72,1095,16.5,10.37,500,0.259,37.55,3.625673378
+861,"Chen et al. (2020), S-35","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,8.33,1095,16.5,11.17,500,0.279,37.6,3.62700405
+862,"Chen et al. (2020), S-36","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,8.38,1095,16.5,11.23,500,0.281,37.06,3.612538221
+863,"Chen et al. (2020), S-37","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,8.81,1095,16.5,11.79,500,0.295,39.05,3.664842876
+864,"Chen et al. (2020), S-38","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,8.98,1095,16.5,12.01,500,0.3,35.89,3.580458705
+865,"Chen et al. (2020), S-39","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,9.42,1095,16.5,12.58,500,0.315,36.69,3.602504238
+866,"Chen et al. (2020), S-40","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,9.61,1095,16.5,12.82,500,0.321,36.72,3.603321566
+867,"Chen et al. (2020), S-41","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,9.61,1095,16.5,12.82,500,0.321,36.4,3.594568775
+868,"Chen et al. (2020), S-42","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,10.39,1095,16.5,13.83,500,0.346,35.19,3.560761951
+869,"Chen et al. (2020), S-43","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,10.68,1095,16.5,14.19,500,0.355,33.93,3.524299579
+870,"Chen et al. (2020), S-44","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,11.2,1095,16.5,14.86,500,0.372,35.62,3.572907278
+871,"Chen et al. (2020), S-45","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,11.44,1095,16.5,15.16,500,0.379,34.72,3.54731589
+872,"Chen et al. (2020), S-46","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,11.54,1095,16.5,15.29,500,0.382,35.68,3.574590308
+873,"Chen et al. (2020), S-47","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,11.62,1095,16.5,15.39,500,0.385,35.22,3.561614103
+874,"Chen et al. (2020), S-48","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,11.87,1095,16.5,15.71,500,0.393,31.55,3.451573589
+875,"Chen et al. (2020), S-49","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,430,EI,Internal reference electrode,Sandblasting,11.98,1095,16.5,15.85,550,0.396,32.54,3.482470102
+876,"Chen et al. (2020), S-50","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,13.04,1095,16.5,17.18,500,0.43,32.43,3.47908392
+877,"Chen et al. (2020), S-51","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,430,EI,Internal reference electrode,Sandblasting,13.21,1095,16.5,17.4,550,0.435,31.56,3.451890496
+878,"Chen et al. (2020), S-52","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,14.2,1095,16.5,18.63,500,0.466,33.59,3.514228404
+879,"Chen et al. (2020), S-53","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,14.77,1095,16.5,19.34,500,0.484,28.38,3.345684672
+880,"Chen et al. (2020), S-54","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,15.39,1095,16.5,20.11,500,0.503,30.32,3.411807561
+881,"Chen et al. (2020), S-55","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,15.59,1095,16.5,20.36,500,0.509,30.33,3.412137322
+882,"Chen et al. (2020), S-56","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,17.38,1095,16.5,22.55,500,0.564,32.9,3.493472658
+883,"Chen et al. (2020), S-57","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,18.04,1095,16.5,23.34,500,0.584,32.28,3.474447843
+884,"Chen et al. (2020), S-58","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,20.28,1095,16.5,26.03,500,0.651,30.83,3.428488242
+885,"Chen et al. (2020), S-59","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,20.59,1095,16.5,26.39,500,0.66,34.1,3.529297384
+886,"Chen et al. (2020), S-60","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,26.02,1095,16.5,32.68,500,0.817,28.55,3.351656936
+887,"Chen et al. (2020), S-61","Normal ductility TEMPCORE. 18 beams pre-cracked during corrosion, and 4 left uncracked. Does not specify which bars were extracted from which beam.",Embedded,None,D,Sweden,B500B,10,380,EI,Internal reference electrode,Sandblasting,26.88,1095,16.5,33.65,500,0.841,29.28,3.376904689
+888,"Vanama and Ramakrishnan (2020), A1",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 250,13,257,N,Internal carbon steel,Chemical,0.04,19724,3.5,0.81,257,0.026,31.71,3.456616321
+889,"Vanama and Ramakrishnan (2020), A2",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 250,13,253,N,Internal carbon steel,Chemical,0.17,19724,3.5,3.22,253,0.105,29.53,3.385569229
+890,"Vanama and Ramakrishnan (2020), A3",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 250,13,327,N,Internal carbon steel,Chemical,0.21,19724,3.5,3.92,327,0.127,31.15,3.438846347
+891,"Vanama and Ramakrishnan (2020), A4",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 250,13,238,N,Internal carbon steel,Chemical,0.33,19724,3.5,6.12,238,0.199,28.02,3.332997053
+892,"Vanama and Ramakrishnan (2020), A5",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 250,13,372,N,Internal carbon steel,Chemical,0.33,19724,3.5,6.22,372,0.202,30.68,3.423490369
+893,"Vanama and Ramakrishnan (2020), A6",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 250,13,286,N,Internal carbon steel,Chemical,0.51,19724,3.5,9.54,286,0.31,26.03,3.259361123
+894,"Vanama and Ramakrishnan (2020), A7",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 250,13,241,N,Internal carbon steel,Chemical,0.59,19724,3.5,10.88,241,0.354,26.54,3.278796199
+895,"Vanama and Ramakrishnan (2020), A8",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 250,13,402,N,Internal carbon steel,Chemical,0.68,19724,3.5,12.51,402,0.407,24.38,3.193623656
+896,"Vanama and Ramakrishnan (2020), A9",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 250,13,343,N,Internal carbon steel,Chemical,0.75,19724,3.5,13.91,343,0.452,25.7,3.246537683
+897,"Vanama and Ramakrishnan (2020), A10",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 250,13,340,N,Internal carbon steel,Chemical,0.84,19724,3.5,15.36,340,0.499,24.61,3.202982188
+898,"Vanama and Ramakrishnan (2020), A11",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 250,13,345,N,Internal carbon steel,Chemical,0.89,19724,3.5,16.24,345,0.528,25.51,3.239086212
+899,"Vanama and Ramakrishnan (2020), A12",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 250,13,437,N,Internal carbon steel,Chemical,1.12,19724,3.5,20.22,437,0.657,24.33,3.191693716
+900,"Vanama and Ramakrishnan (2020), A13",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 250,13,347,N,Internal carbon steel,Chemical,1.35,19724,3.5,24.1,347,0.783,22.09,3.095161232
+901,"Vanama and Ramakrishnan (2020), A14",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 250,13,437,N,Internal carbon steel,Chemical,1.45,19724,3.5,25.85,437,0.84,20.42,3.016269925
+902,"Vanama and Ramakrishnan (2020), A15",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 250,13,383,N,Internal carbon steel,Chemical,1.66,19724,3.5,29.25,383,0.951,20.59,3.024912363
+903,"Vanama and Ramakrishnan (2020), A16",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 250,13,320,N,Internal carbon steel,Chemical,2.95,19724,3.5,48.52,320,1.577,12.04,2.487927084
+904,"Vanama and Ramakrishnan (2020), A17",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 250,13,301,N,Internal carbon steel,Chemical,3.1,19724,3.5,50.47,301,1.64,12.79,2.54828043
+905,"Vanama and Ramakrishnan (2020), A18",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 250,13,302,N,Internal carbon steel,Chemical,3.33,19724,3.5,53.55,302,1.74,12.86,2.553911743
+906,"Vanama and Ramakrishnan (2020), A19",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 250,13,287,N,Internal carbon steel,Chemical,3.54,19724,3.5,56.18,287,1.826,11.43,2.436153985
+907,"Vanama and Ramakrishnan (2020), A20",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 250,13,442,N,Internal carbon steel,Chemical,3.8,19724,3.5,59.46,442,1.932,10.81,2.380018245
+908,"Vanama and Ramakrishnan (2020), A21",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 250,13,371,N,Internal carbon steel,Chemical,4.97,19724,3.5,72.5,371,2.356,7.82,2.056172915
+909,"Vanama and Ramakrishnan (2020), A22",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 250,13,329,N,Internal carbon steel,Chemical,5.74,19724,3.5,79.64,329,2.588,4.72,1.551999459
+910,"Vanama and Ramakrishnan (2020), B1",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 350,13,305,N,Internal carbon steel,Chemical,0.21,19724,3.5,3.98,305,0.129,41.52,3.726136702
+911,"Vanama and Ramakrishnan (2020), B2",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 350,13,280,N,Internal carbon steel,Chemical,0.3,19724,3.5,5.62,280,0.183,40.44,3.699923246
+912,"Vanama and Ramakrishnan (2020), B3",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 350,13,460,N,Internal carbon steel,Chemical,0.39,19724,3.5,7.29,460,0.237,39.05,3.664860802
+913,"Vanama and Ramakrishnan (2020), B4",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 350,13,380,N,Internal carbon steel,Chemical,0.45,19724,3.5,8.46,380,0.275,38.04,3.63869607
+914,"Vanama and Ramakrishnan (2020), B5",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 350,13,395,N,Internal carbon steel,Chemical,0.47,19724,3.5,8.77,395,0.285,39.33,3.67195199
+915,"Vanama and Ramakrishnan (2020), B6",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 350,13,380,N,Internal carbon steel,Chemical,0.61,19724,3.5,11.37,380,0.37,38.32,3.646063285
+916,"Vanama and Ramakrishnan (2020), B7",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 350,13,421,N,Internal carbon steel,Chemical,0.62,19724,3.5,11.49,421,0.373,38.05,3.638832751
+917,"Vanama and Ramakrishnan (2020), B8",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 350,13,262,N,Internal carbon steel,Chemical,0.91,19724,3.5,16.59,262,0.539,35.21,3.561290371
+918,"Vanama and Ramakrishnan (2020), B9",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 350,13,282,N,Internal carbon steel,Chemical,0.96,19724,3.5,17.55,282,0.57,33.9,3.523429764
+919,"Vanama and Ramakrishnan (2020), B10",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 350,13,302,N,Internal carbon steel,Chemical,1.51,19724,3.5,26.74,302,0.869,29.06,3.369300715
+920,"Vanama and Ramakrishnan (2020), B11",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 350,13,474,N,Internal carbon steel,Chemical,2.35,19724,3.5,39.92,474,1.297,22.47,3.112314589
+921,"Vanama and Ramakrishnan (2020), B12",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 350,13,164,N,Internal carbon steel,Chemical,2.44,19724,3.5,41.2,164,1.339,21.95,3.0889448
+922,"Vanama and Ramakrishnan (2020), B13",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 350,13,376,N,Internal carbon steel,Chemical,2.57,19724,3.5,43.07,376,1.4,19.82,2.98684288
+923,"Vanama and Ramakrishnan (2020), B14",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 350,13,419,N,Internal carbon steel,Chemical,3.36,19724,3.5,53.95,419,1.753,15.5,2.740710983
+924,"Vanama and Ramakrishnan (2020), B15",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 350,13,210,N,Internal carbon steel,Chemical,4.17,19724,3.5,63.83,210,2.074,10.11,2.313346976
+925,"Vanama and Ramakrishnan (2020), B16",54 year old decommissioned inland structure.,Embedded,SLS,P,India,MS 350,13,402,N,Internal carbon steel,Chemical,5.42,19724,3.5,76.8,402,2.496,5.39,1.68376586
+926,"Vanama and Ramakrishnan (2020), C0-1",Control.,Bare,None,D,India,Fe500D,16,334,Control,Control,N/A,0,0,0,0,0,0,114.73,4.742590258
+927,"Vanama and Ramakrishnan (2020), C0-2",Control.,Bare,None,D,India,Fe500D,16,310,Control,Control,N/A,0,0,0,0,0,0,115.22,4.746860702
+928,"Vanama and Ramakrishnan (2020), C0-3",Control.,Bare,None,D,India,Fe500D,16,338,Control,Control,N/A,0,0,0,0,0,0,110.43,4.704354669
+929,"Vanama and Ramakrishnan (2020), C0-4",,Bare,None,D,India,Fe500D,16,286,IC,External stainless steel plate,Chemical,4421,3,3.5,9.95,450,0.398,94.76,4.551305166
+930,"Vanama and Ramakrishnan (2020), C0-5",,Bare,None,D,India,Fe500D,16,277,IC,External stainless steel plate,Chemical,4421,3,3.5,10.22,450,0.409,94.23,4.545696152
+931,"Vanama and Ramakrishnan (2020), C0-6",,Bare,None,D,India,Fe500D,16,641,IC,External stainless steel plate,Chemical,4421,3,3.5,10.44,450,0.418,94.72,4.550882941
+932,"Vanama and Ramakrishnan (2020), C0-7",,Bare,None,D,India,Fe500D,16,282,IC,External stainless steel plate,Chemical,4421,6,3.5,20.24,450,0.81,78.57,4.364002675
+933,"Vanama and Ramakrishnan (2020), C0-8",,Bare,None,D,India,Fe500D,16,271,IC,External stainless steel plate,Chemical,4421,6,3.5,20.24,450,0.81,79.21,4.372115178
+934,"Vanama and Ramakrishnan (2020), C0-9",,Bare,None,D,India,Fe500D,16,281,IC,External stainless steel plate,Chemical,4421,6,3.5,20.32,450,0.813,83.26,4.421992263
+935,"Vanama and Ramakrishnan (2020), C0-10",,Bare,None,D,India,Fe500D,16,276,IC,External stainless steel plate,Chemical,4421,9,3.5,30.27,450,1.211,73.4,4.295910312
+936,"Vanama and Ramakrishnan (2020), C0-11",,Bare,None,D,India,Fe500D,16,295,IC,External stainless steel plate,Chemical,4421,9,3.5,29.97,450,1.199,73.95,4.30334862
+937,"Vanama and Ramakrishnan (2020), C0-12",,Bare,None,D,India,Fe500D,16,258,IC,External stainless steel plate,Chemical,4421,9,3.5,29.74,450,1.19,73.95,4.30334862
+938,"Vanama and Ramakrishnan (2020), C0-13",,Bare,None,D,India,Fe500D,16,188,IC,External stainless steel plate,Chemical,4421,14,3.5,50.49,450,2.02,47.83,3.867736684
+939,"Vanama and Ramakrishnan (2020), C0-14",,Bare,None,D,India,Fe500D,16,187,IC,External stainless steel plate,Chemical,4421,14,3.5,50.51,450,2.02,48.09,3.873053461
+940,"Vanama and Ramakrishnan (2020), C0-15",,Bare,None,D,India,Fe500D,16,187,IC,External stainless steel plate,Chemical,4421,14,3.5,50.5,450,2.02,45.19,3.810787304
+941,"Tariq and Bhargava (2021), SN-8-1",Control. Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,Control,Control,N/A,0,0,0,0,0,0,31.36,3.445617539
+942,"Tariq and Bhargava (2021), SN-8-2",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,30,5,3.1,500,0.062,29.84,3.395769021
+943,"Tariq and Bhargava (2021), SN-8-3",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,30,5,4.32,500,0.086,29.03,3.368306403
+944,"Tariq and Bhargava (2021), SN-8-4",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,30,5,5.4,500,0.108,27.62,3.318444706
+945,"Tariq and Bhargava (2021), SN-8-5",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,30,5,6.1,500,0.122,26.82,3.289059887
+946,"Tariq and Bhargava (2021), SN-8-6",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,45,5,7.2,500,0.144,26.31,3.269832893
+947,"Tariq and Bhargava (2021), SN-8-7",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,45,5,7.8,500,0.156,25.94,3.25596075
+948,"Tariq and Bhargava (2021), SN-8-8",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,45,5,8.8,500,0.176,25.51,3.239197962
+949,"Tariq and Bhargava (2021), SN-8-9",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,60,5,10.11,500,0.202,25.43,3.236119761
+950,"Tariq and Bhargava (2021), SN-8-10",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,60,5,11.33,500,0.227,25.03,3.219982667
+951,"Tariq and Bhargava (2021), SN-8-11",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,60,5,12.2,500,0.244,24.2,3.186282627
+952,"Tariq and Bhargava (2021), SN-8-12",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,95,5,14.6,500,0.292,24.01,3.178629981
+953,"Tariq and Bhargava (2021), SN-8-13",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,95,5,15.2,500,0.304,22.18,3.099378883
+954,"Tariq and Bhargava (2021), SN-8-14",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,95,5,16.43,500,0.329,21.76,3.080162479
+955,"Tariq and Bhargava (2021), SN-8-15",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,125,5,19,500,0.38,21.04,3.04645525
+956,"Tariq and Bhargava (2021), SN-8-16",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,125,5,21.3,500,0.426,20.14,3.002951026
+957,"Tariq and Bhargava (2021), SN-8-17",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,155,5,23.64,500,0.473,19.17,2.953097342
+958,"Tariq and Bhargava (2021), SN-8-18",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,155,5,24.5,500,0.49,16.67,2.813311795
+959,"Tariq and Bhargava (2021), SN-8-19",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,190,5,28.6,500,0.572,15.75,2.756979841
+960,"Tariq and Bhargava (2021), SN-8-20",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,190,5,30.44,500,0.609,14.99,2.707126504
+961,"Tariq and Bhargava (2021), SN-8-21",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,190,5,32.3,500,0.646,13.03,2.567317603
+962,"Tariq and Bhargava (2021), SN-8-22",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,220,5,34.65,500,0.693,14.01,2.639663382
+963,"Tariq and Bhargava (2021), SN-8-23",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,220,5,35.06,500,0.701,13.52,2.604163178
+964,"Tariq and Bhargava (2021), SN-8-24",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,220,5,36.66,500,0.733,13.76,2.622070805
+965,"Tariq and Bhargava (2021), SN-8-25",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,8,100,IC,External stainless steel plate,Chemical,200,250,5,40.8,500,0.816,13.64,2.613157077
+966,"Tariq and Bhargava (2021), SN-10-1",Control. Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,Control,Control,N/A,0,0,0,0,500,0,47.26,3.855642653
+967,"Tariq and Bhargava (2021), SN-10-2",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,20,5,2,500,0.05,44.96,3.805793296
+968,"Tariq and Bhargava (2021), SN-10-3",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,20,5,3.96,500,0.099,39.91,3.68674518
+969,"Tariq and Bhargava (2021), SN-10-4",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,40,5,5.16,500,0.129,39.74,3.682406864
+970,"Tariq and Bhargava (2021), SN-10-5",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,40,5,6.26,500,0.157,39.48,3.675863895
+971,"Tariq and Bhargava (2021), SN-10-6",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,80,5,8.1,500,0.203,39.09,3.665968465
+972,"Tariq and Bhargava (2021), SN-10-7",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,80,5,9.8,500,0.245,37.97,3.636901747
+973,"Tariq and Bhargava (2021), SN-10-8",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,80,5,11.2,500,0.28,37.81,3.63256973
+974,"Tariq and Bhargava (2021), SN-10-9",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,120,5,14.4,500,0.36,37.56,3.626025858
+975,"Tariq and Bhargava (2021), SN-10-10",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,120,5,16.3,500,0.408,37.44,3.622842676
+976,"Tariq and Bhargava (2021), SN-10-11",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,160,5,18.3,500,0.458,35.62,3.573000044
+977,"Tariq and Bhargava (2021), SN-10-12",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,160,5,19.85,500,0.496,33.02,3.497080857
+978,"Tariq and Bhargava (2021), SN-10-13",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,160,5,20.73,500,0.518,32.88,3.492742352
+979,"Tariq and Bhargava (2021), SN-10-14",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,160,5,21.5,500,0.538,32.66,3.486199097
+980,"Tariq and Bhargava (2021), SN-10-15",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,175,5,22.32,500,0.558,32.4,3.47811088
+981,"Tariq and Bhargava (2021), SN-10-16",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,175,5,23.4,500,0.585,30.98,3.433190699
+982,"Tariq and Bhargava (2021), SN-10-17",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,190,5,24.2,500,0.605,30.82,3.428259572
+983,"Tariq and Bhargava (2021), SN-10-18",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,190,5,26.68,500,0.667,26.8,3.288465778
+984,"Tariq and Bhargava (2021), SN-10-19",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,235,5,27.3,500,0.683,25.35,3.232728461
+985,"Tariq and Bhargava (2021), SN-10-20",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,235,5,29.6,500,0.74,24.12,3.182861033
+986,"Tariq and Bhargava (2021), SN-10-21",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,235,5,31.4,500,0.785,20.97,3.043061636
+987,"Tariq and Bhargava (2021), SN-10-22",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,275,5,33.16,500,0.829,22.54,3.115402331
+988,"Tariq and Bhargava (2021), SN-10-23",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,275,5,36.33,500,0.908,21.76,3.079904038
+989,"Tariq and Bhargava (2021), SN-10-24",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,315,5,39.86,500,0.997,22.15,3.097792963
+990,"Tariq and Bhargava (2021), SN-10-25",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,10,120,IC,External stainless steel plate,Chemical,200,315,5,42.15,500,1.054,21.95,3.088888502
+991,"Tariq and Bhargava (2021), SN-12-1",Control. Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,Control,Control,N/A,0,0,0,0,500,0,66.67,4.199785229
+992,"Tariq and Bhargava (2021), SN-12-2",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,25,5,2.75,500,0.083,63.43,4.149929205
+993,"Tariq and Bhargava (2021), SN-12-3",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,25,5,3.8,500,0.114,58.29,4.065378635
+994,"Tariq and Bhargava (2021), SN-12-4",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,45,5,4.45,500,0.134,57.87,4.058192975
+995,"Tariq and Bhargava (2021), SN-12-5",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,45,5,5.86,500,0.176,55.45,4.015510994
+996,"Tariq and Bhargava (2021), SN-12-6",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,70,5,6.88,500,0.206,55.15,4.010111987
+997,"Tariq and Bhargava (2021), SN-12-7",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,70,5,8.5,500,0.255,55.06,4.008346906
+998,"Tariq and Bhargava (2021), SN-12-8",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,95,5,10.18,500,0.305,51.25,3.936760876
+999,"Tariq and Bhargava (2021), SN-12-9",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,95,5,11.66,500,0.35,48.76,3.886903214
+1000,"Tariq and Bhargava (2021), SN-12-10",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,115,5,13.4,500,0.402,48.22,3.87570724
+1001,"Tariq and Bhargava (2021), SN-12-11",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,115,5,14.86,500,0.446,47.87,3.868527444
+1002,"Tariq and Bhargava (2021), SN-12-12",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,140,5,15.3,500,0.459,45.1,3.808828199
+1003,"Tariq and Bhargava (2021), SN-12-13",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,140,5,16.05,500,0.482,42.9,3.758979168
+1004,"Tariq and Bhargava (2021), SN-12-14",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,165,5,16.9,500,0.507,42.4,3.74709952
+1005,"Tariq and Bhargava (2021), SN-12-15",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,165,5,18.6,500,0.558,39.42,3.674389992
+1006,"Tariq and Bhargava (2021), SN-12-16",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,190,5,19.6,500,0.588,37.51,3.624543589
+1007,"Tariq and Bhargava (2021), SN-12-17",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,190,5,21.5,500,0.645,37.31,3.619161867
+1008,"Tariq and Bhargava (2021), SN-12-18",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,235,5,23.22,500,0.697,32.61,3.484737923
+1009,"Tariq and Bhargava (2021), SN-12-19",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,235,5,25.52,500,0.766,30.5,3.417655452
+1010,"Tariq and Bhargava (2021), SN-12-20",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,260,5,27.63,500,0.829,29.02,3.367817123
+1011,"Tariq and Bhargava (2021), SN-12-21",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,260,5,29.6,500,0.888,25.23,3.227979169
+1012,"Tariq and Bhargava (2021), SN-12-22",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,305,5,31.4,500,0.942,27.12,3.300340488
+1013,"Tariq and Bhargava (2021), SN-12-23",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,305,5,34.78,500,1.043,26.18,3.264814206
+1014,"Tariq and Bhargava (2021), SN-12-24",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,375,5,38.4,500,1.152,26.65,3.282756323
+1015,"Tariq and Bhargava (2021), SN-12-25",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,12,120,IC,External stainless steel plate,Chemical,200,375,5,41.3,500,1.239,26.41,3.273804094
+1016,"Tariq and Bhargava (2021), SN-16-1",Control. Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,Control,Control,N/A,0,0,0,0,500,0,123.42,4.815559416
+1017,"Tariq and Bhargava (2021), SN-16-2",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,30,5,2.22,500,0.089,117.41,4.765707302
+1018,"Tariq and Bhargava (2021), SN-16-3",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,30,5,3.76,500,0.15,108.38,4.685610366
+1019,"Tariq and Bhargava (2021), SN-16-4",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,95,5,7.21,500,0.288,103.1,4.635743596
+1020,"Tariq and Bhargava (2021), SN-16-5",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,125,5,11.8,500,0.472,102.09,4.625886279
+1021,"Tariq and Bhargava (2021), SN-16-6",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,160,5,13.2,500,0.528,91.35,4.514747526
+1022,"Tariq and Bhargava (2021), SN-16-7",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,190,5,14.7,500,0.588,89.65,4.495929975
+1023,"Tariq and Bhargava (2021), SN-16-8",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,190,5,16.24,500,0.65,86.91,4.464884949
+1024,"Tariq and Bhargava (2021), SN-16-9",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,250,5,18.55,500,0.742,84.49,4.436612277
+1025,"Tariq and Bhargava (2021), SN-16-10",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,250,5,20.26,500,0.81,80.38,4.386772086
+1026,"Tariq and Bhargava (2021), SN-16-11",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,315,5,23.4,500,0.936,75.57,4.325074424
+1027,"Tariq and Bhargava (2021), SN-16-12",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,345,5,26.3,500,1.052,75.03,4.317945364
+1028,"Tariq and Bhargava (2021), SN-16-13",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,345,5,27.2,500,1.088,71.39,4.268088149
+1029,"Tariq and Bhargava (2021), SN-16-14",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,375,5,30.32,500,1.213,69.89,4.246967619
+1030,"Tariq and Bhargava (2021), SN-16-15",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,375,5,31.2,500,1.248,63.12,4.145027721
+1031,"Tariq and Bhargava (2021), SN-16-16",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,410,5,32.3,500,1.292,62.07,4.128260015
+1032,"Tariq and Bhargava (2021), SN-16-17",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,410,5,33.45,500,1.338,60.05,4.095163493
+1033,"Tariq and Bhargava (2021), SN-16-18",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,440,5,35.1,500,1.404,54.67,4.00140237
+1034,"Tariq and Bhargava (2021), SN-16-19",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,440,5,36.47,500,1.459,57.36,4.049398948
+1035,"Tariq and Bhargava (2021), SN-16-20",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,470,5,37.2,500,1.488,56.02,4.025670645
+1036,"Tariq and Bhargava (2021), SN-16-21",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,470,5,38.1,500,1.524,56.69,4.03758744
+1037,"Tariq and Bhargava (2021), SN-16-22",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,500,5,39.24,500,1.57,56.35,4.031646794
+1038,"Tariq and Bhargava (2021), SN-16-23",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,500,5,40.85,500,1.634,56.52,4.034639315
+1039,"Tariq and Bhargava (2021), SN-16-24",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,535,5,42.4,500,1.696,56.44,4.033144174
+1040,"Tariq and Bhargava (2021), SN-16-25",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,16,160,IC,External stainless steel plate,Chemical,200,535,5,44.5,500,1.78,56.48,4.033892024
+1041,"Tariq and Bhargava (2021), SN-20-1",Control. Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,Control,Control,N/A,0,0,0,0,500,0,200,5.298302016
+1042,"Tariq and Bhargava (2021), SN-20-2",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,40,5,1.95,500,0.098,190.27,5.248447054
+1043,"Tariq and Bhargava (2021), SN-20-3",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,40,5,2.7,500,0.135,185.02,5.220469104
+1044,"Tariq and Bhargava (2021), SN-20-4",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,40,5,3.32,500,0.166,176.02,5.1705993
+1045,"Tariq and Bhargava (2021), SN-20-5",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,40,5,3.86,500,0.193,165.45,5.108643008
+1046,"Tariq and Bhargava (2021), SN-20-6",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,80,5,4.2,500,0.21,164.05,5.100176299
+1047,"Tariq and Bhargava (2021), SN-20-7",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,80,5,5.4,500,0.27,162.18,5.088677824
+1048,"Tariq and Bhargava (2021), SN-20-8",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,120,5,6.8,500,0.34,156.07,5.050312194
+1049,"Tariq and Bhargava (2021), SN-20-9",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,120,5,7.75,500,0.388,154.29,5.03883329
+1050,"Tariq and Bhargava (2021), SN-20-10",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,160,5,8.22,500,0.411,153.06,5.030798984
+1051,"Tariq and Bhargava (2021), SN-20-11",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,160,5,10.33,500,0.517,143.66,4.967418819
+1052,"Tariq and Bhargava (2021), SN-20-12",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,200,5,12.1,500,0.605,136.67,4.917559787
+1053,"Tariq and Bhargava (2021), SN-20-13",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,200,5,13.8,500,0.69,135.71,4.910500934
+1054,"Tariq and Bhargava (2021), SN-20-14",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,235,5,15.12,500,0.756,134.16,4.899022479
+1055,"Tariq and Bhargava (2021), SN-20-15",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,275,5,17.36,500,0.868,118.84,4.777753019
+1056,"Tariq and Bhargava (2021), SN-20-16",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,275,5,18.32,500,0.916,109.13,4.692535287
+1057,"Tariq and Bhargava (2021), SN-20-17",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,390,5,25.53,500,1.277,103.82,4.642690936
+1058,"Tariq and Bhargava (2021), SN-20-18",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,390,5,26.23,500,1.312,94.96,4.553465451
+1059,"Tariq and Bhargava (2021), SN-20-19",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,430,5,28.62,500,1.431,90.34,4.503611102
+1060,"Tariq and Bhargava (2021), SN-20-20",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,470,5,29.2,500,1.46,90.28,4.502880578
+1061,"Tariq and Bhargava (2021), SN-20-21",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,470,5,30.5,500,1.525,83.58,4.425829054
+1062,"Tariq and Bhargava (2021), SN-20-22",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,550,5,33.2,500,1.66,86.93,4.465114819
+1063,"Tariq and Bhargava (2021), SN-20-23",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,550,5,36.6,500,1.83,85.26,4.445664846
+1064,"Tariq and Bhargava (2021), SN-20-24",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,630,5,38.66,500,1.933,86.09,4.455418874
+1065,"Tariq and Bhargava (2021), SN-20-25",Super ductile thermo-mechanically treated (SD TMT) bars.,Bare,None,D,India,SD TMT,20,200,IC,External stainless steel plate,Chemical,200,630,5,42.2,500,2.11,85.67,4.450553752
+1066,"Matthews et al. (2023), B1",Control.,Bare,None,D,New Zealand,500E,25,225,Control,Control,N/A,0,0,0,0,0,0,263.01,5.572195856
+1067,"Matthews et al. (2023), B2",Control.,Bare,None,D,New Zealand,500E,25,225,Control,Control,N/A,0,0,0,0,0,0,262.31,5.569521292
+1068,"Matthews et al. (2023), B3",Control.,Bare,None,D,New Zealand,500E,25,225,Control,Control,N/A,0,0,0,0,0,0,260.31,5.561857478
+1069,"Matthews et al. (2023), B4",Control.,Bare,None,D,New Zealand,500E,25,225,Control,Control,N/A,0,0,0,0,0,0,261.22,5.565348417
+1070,"Matthews et al. (2023), B5",Control.,Bare,None,D,New Zealand,500E,25,225,Control,Control,N/A,0,0,0,0,0,0,261.52,5.566499673
+1071,"Matthews et al. (2023), B6",Control.,Bare,None,D,New Zealand,500E,25,225,Control,Control,N/A,0,0,0,0,0,0,262.43,5.569992763
+1072,"Matthews et al. (2023), B7",Control.,Bare,None,D,New Zealand,500E,25,225,Control,Control,N/A,0,0,0,0,0,0,261.75,5.567391378
+1073,"Matthews et al. (2023), B8",Control.,Bare,None,D,New Zealand,500E,25,225,Control,Control,N/A,0,0,0,0,0,0,259.96,5.56053739
+1074,"Matthews et al. (2023), B9",Control.,Bare,None,D,New Zealand,500E,25,225,Control,Control,N/A,0,0,0,0,0,0,263.67,5.574700597
+1075,"Matthews et al. (2023), B10",Control.,Bare,None,D,New Zealand,500E,25,225,Control,Control,N/A,0,0,0,0,0,0,259.62,5.559213246
+1076,"Matthews et al. (2023), B11",Control.,Bare,None,D,New Zealand,500E,25,225,Control,Control,N/A,0,0,0,0,0,0,261.99,5.568294503
+1077,"Matthews et al. (2023), B12",Control.,Bare,None,D,New Zealand,500E,25,225,Control,Control,N/A,0,0,0,0,0,0,262.15,5.568925633
+1078,"Matthews et al. (2023), CS1",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,26,3.5,3.84,460,0.24,253.76,5.536402337
+1079,"Matthews et al. (2023), CS2",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,65,3.5,11.32,460,0.708,232.93,5.450724241
+1080,"Matthews et al. (2023), CS3",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,131,3.5,24.27,460,1.517,186.87,5.230401415
+1081,"Matthews et al. (2023), CS4",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,1500,5,3.5,5.09,460,0.318,254,5.537342928
+1082,"Matthews et al. (2023), CS5",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,1500,13,3.5,12.34,460,0.771,238.28,5.473432603
+1083,"Matthews et al. (2023), CS6",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,1500,26,3.5,15.16,460,0.947,227,5.42496896
+1084,"Matthews et al. (2023), CS7",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,26,3.5,3.17,460,0.198,254.28,5.538432089
+1085,"Matthews et al. (2023), CS8",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,65,3.5,10.88,460,0.68,235.19,5.460379667
+1086,"Matthews et al. (2023), CS9",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,131,3.5,23.06,460,1.441,196,5.278095271
+1087,"Matthews et al. (2023), CS10",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,1500,5,3.5,4.26,460,0.266,254.4,5.538921982
+1088,"Matthews et al. (2023), CS11",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,1500,13,3.5,10.14,460,0.634,237.75,5.471231899
+1089,"Matthews et al. (2023), CS12",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,1500,26,3.5,16.58,460,1.036,225.31,5.417485221
+1090,"Matthews et al. (2023), WD1",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,26,3.5,2.86,460,0.179,256.31,5.546405596
+1091,"Matthews et al. (2023), WD2",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,65,3.5,5.93,460,0.371,248.37,5.51492722
+1092,"Matthews et al. (2023), WD3",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,131,3.5,11.16,460,0.698,234.09,5.455699676
+1093,"Matthews et al. (2023), WD4",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,1500,5,3.5,3.64,460,0.228,257.18,5.54976573
+1094,"Matthews et al. (2023), WD5",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,1500,13,3.5,7.26,460,0.454,245.2,5.502053812
+1095,"Matthews et al. (2023), WD6",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,1500,26,3.5,12.14,460,0.759,238.86,5.475874257
+1096,"Matthews et al. (2023), WD7",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,26,3.5,2.26,460,0.141,258.27,5.553995482
+1097,"Matthews et al. (2023), WD8",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,65,3.5,6.75,460,0.422,245.02,5.501328412
+1098,"Matthews et al. (2023), WD9",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,131,3.5,14.7,460,0.919,223.42,5.409041323
+1099,"Matthews et al. (2023), WD10",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,1500,5,3.5,2.58,460,0.161,255.84,5.54454365
+1100,"Matthews et al. (2023), WD11",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,1500,13,3.5,7.26,460,0.454,248.15,5.514030178
+1101,"Matthews et al. (2023), WD12",,Embedded,None,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,1500,26,3.5,10.28,460,0.642,235.47,5.461575872
+1102,"Matthews et al. (2023), CS-MC-L1-3B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.78,460,0.299,248.4,5.51503874
+1103,"Matthews et al. (2023), CS-MC-L1-5A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,5.91,460,0.369,248.81,5.516669859
+1104,"Matthews et al. (2023), CS-MC-L1-5B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.72,460,0.295,247.96,5.513258167
+1105,"Matthews et al. (2023), CS-MC-L1-7A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,5.29,460,0.33,245.78,5.504439675
+1106,"Matthews et al. (2023), CS-MC-L1-9A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.95,460,0.309,253.64,5.535925401
+1107,"Matthews et al. (2023), CS-MC-L1-11A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.89,460,0.306,248.84,5.516827802
+1108,"Matthews et al. (2023), CS-MC-L1-13A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,5.51,460,0.345,252.51,5.531435803
+1109,"Matthews et al. (2023), CS-MC-L1-15A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,5,460,0.313,256.7,5.54789718
+1110,"Matthews et al. (2023), CS-MC-L1-15B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,5.51,460,0.345,250.16,5.522109507
+1111,"Matthews et al. (2023), CS-MC-L1-17A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.55,460,0.284,251.57,5.527730026
+1112,"Matthews et al. (2023), CS-MC-L1-17B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.95,460,0.309,245.34,5.502625031
+1113,"Matthews et al. (2023), 300CS-MC-L2-1B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,5.46,460,0.341,248.06,5.513671862
+1114,"Matthews et al. (2023), 300CS-MC-L2-3B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,5.51,460,0.345,248.07,5.513714189
+1115,"Matthews et al. (2023), 300CS-MC-L2-5B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,6.47,460,0.405,251.07,5.525751301
+1116,"Matthews et al. (2023), 300CS-MC-L2-7A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,5.12,460,0.32,244.53,5.49934209
+1117,"Matthews et al. (2023), 300CS-MC-L2-7B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.95,460,0.309,245.93,5.505029051
+1118,"Matthews et al. (2023), 300CS-MC-L2-9A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,5.06,460,0.316,250.36,5.522910666
+1119,"Matthews et al. (2023), 300CS-MC-L2-9B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,5.34,460,0.334,251.07,5.525747318
+1120,"Matthews et al. (2023), 300CS-MC-L2-11A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.95,460,0.309,251.18,5.526155083
+1121,"Matthews et al. (2023), 300CS-MC-L2-11B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.78,460,0.299,251.77,5.528498893
+1122,"Matthews et al. (2023), 300CS-MC-L2-13B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.44,460,0.277,250.39,5.523023696
+1123,"Matthews et al. (2023), 300CS-MC-L2-15A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,5.17,460,0.323,249.17,5.518152652
+1124,"Matthews et al. (2023), 300CS-MC-L2-15B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,5.17,460,0.323,252.58,5.531730802
+1125,"Matthews et al. (2023), 300CS-MC-L2-17A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.44,460,0.277,251.01,5.525507121
+1126,"Matthews et al. (2023), 300CS-MC-L2-17B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.44,460,0.277,249.23,5.518375764
+1127,"Matthews et al. (2023), CS-MC-S1-1A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,10.72,460,0.67,227.06,5.4252143
+1128,"Matthews et al. (2023), CS-MC-S1-3A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,12.52,460,0.783,216.52,5.377692159
+1129,"Matthews et al. (2023), CS-MC-S1-3B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,9.08,460,0.567,234.02,5.455395044
+1130,"Matthews et al. (2023), CS-MC-S1-5A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,10.83,460,0.677,235.12,5.460079435
+1131,"Matthews et al. (2023), CS-MC-S1-5B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,10.77,460,0.673,225.6,5.4187418
+1132,"Matthews et al. (2023), CS-MC-S1-7A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,8,460,0.5,239.61,5.479000499
+1133,"Matthews et al. (2023), CS-MC-S1-7B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,10.55,460,0.659,221.15,5.3988611
+1134,"Matthews et al. (2023), CS-MC-S1-9A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,9.36,460,0.585,238.69,5.475148881
+1135,"Matthews et al. (2023), CS-MC-S1-9B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,12.47,460,0.779,227.35,5.426469127
+1136,"Matthews et al. (2023), CS-MC-S1-11A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,29.54,460,1.847,236.77,5.467078225
+1137,"Matthews et al. (2023), CS-MC-S1-13A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,9.19,460,0.574,240.49,5.482667281
+1138,"Matthews et al. (2023), CS-MC-S1-17A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,9.08,460,0.567,231.85,5.446072927
+1139,"Matthews et al. (2023), CS-MC-S1-17B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,12.3,460,0.769,221.84,5.401969474
+1140,"Matthews et al. (2023), 300CS-MC-S2-1A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,10.21,461,0.638,233.86,5.454721363
+1141,"Matthews et al. (2023), 300CS-MC-S2-1B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,13.2,462,0.825,221.81,5.401806282
+1142,"Matthews et al. (2023), 300CS-MC-S2-3A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,12.69,463,0.793,205.24,5.32417759
+1143,"Matthews et al. (2023), 300CS-MC-S2-3B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,8.91,464,0.557,225.54,5.418513932
+1144,"Matthews et al. (2023), 300CS-MC-S2-5A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,9.64,465,0.603,234.19,5.456140865
+1145,"Matthews et al. (2023), 300CS-MC-S2-5B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,9.25,466,0.578,237.43,5.469874107
+1146,"Matthews et al. (2023), 300CS-MC-S2-7A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,17.22,467,1.076,203.59,5.316112097
+1147,"Matthews et al. (2023), 300CS-MC-S2-9A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,8.57,469,0.535,237.37,5.469613365
+1148,"Matthews et al. (2023), 300CS-MC-S2-9B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,14.28,470,0.892,213.69,5.364537598
+1149,"Matthews et al. (2023), 300CS-MC-S2-11A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,8.91,471,0.557,237.35,5.469529104
+1150,"Matthews et al. (2023), 300CS-MC-S2-11B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,10.55,472,0.659,237.06,5.468306524
+1151,"Matthews et al. (2023), 300CS-MC-S2-13A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,8.57,473,0.535,239.82,5.479882387
+1152,"Matthews et al. (2023), 300CS-MC-S2-15A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,9.58,475,0.599,236.56,5.466193844
+1153,"Matthews et al. (2023), 300CS-MC-S2-15B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,18.97,476,1.186,150.86,5.016369489
+1154,"Matthews et al. (2023), 300CS-MC-S2-16A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,11.9,477,0.744,200.09,5.298758269
+1155,"Matthews et al. (2023), WD-UC-L1-1A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,5.29,460,0.33,250.67,5.524118184
+1156,"Matthews et al. (2023), WD-UC-L1-1B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.89,460,0.306,251.24,5.526421394
+1157,"Matthews et al. (2023), WD-UC-L1-3B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.89,460,0.306,248.73,5.516385258
+1158,"Matthews et al. (2023), WD-UC-L1-5A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,5.4,460,0.338,245.95,5.505120945
+1159,"Matthews et al. (2023), WD-UC-L1-5B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.83,460,0.302,246,5.50534495
+1160,"Matthews et al. (2023), WD-UC-L1-7A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.89,460,0.306,244.52,5.49927952
+1161,"Matthews et al. (2023), WD-UC-L1-7B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.95,460,0.309,241.66,5.487527228
+1162,"Matthews et al. (2023), WD-UC-L1-9A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.89,460,0.306,247.73,5.512321682
+1163,"Matthews et al. (2023), WD-UC-L1-9B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.61,460,0.288,242.97,5.492924808
+1164,"Matthews et al. (2023), WD-UC-L1-11A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,5.34,460,0.334,245.19,5.502028526
+1165,"Matthews et al. (2023), WD-UC-L1-11B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.83,460,0.302,245.05,5.501461863
+1166,"Matthews et al. (2023), WD-UC-L1-13A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.66,460,0.292,245.96,5.5051738
+1167,"Matthews et al. (2023), WD-UC-L1-13B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.44,460,0.277,246.08,5.505644089
+1168,"Matthews et al. (2023), WD-UC-L1-15A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.78,460,0.299,246.58,5.507667424
+1169,"Matthews et al. (2023), WD-UC-L1-15B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,3.7,460,0.231,244.97,5.501137387
+1170,"Matthews et al. (2023), WD-UC-L1-17A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,5.46,460,0.341,248.96,5.517292643
+1171,"Matthews et al. (2023), WD-UC-L1-17B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,5.06,460,0.316,246.62,5.507854367
+1172,"Matthews et al. (2023), 300WD-UC-L2-2.95-1B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,5.34,460,0.334,243.16,5.493706503
+1173,"Matthews et al. (2023), 300WD-UC-L2-2.95-3B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.95,460,0.309,244.41,5.498860645
+1174,"Matthews et al. (2023), 300WD-UC-L2-2.95-3C",,Embedded,Pre-loaded,D,New Zealand,500E,25,215,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.72,460,0.295,246.94,5.509153086
+1175,"Matthews et al. (2023), 300WD-UC-L2-2.95-5A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,3.87,460,0.242,247.03,5.509518288
+1176,"Matthews et al. (2023), 300WD-UC-L2-2.95-5C",,Embedded,Pre-loaded,D,New Zealand,500E,25,215,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.78,460,0.299,247.82,5.51271801
+1177,"Matthews et al. (2023), 300WD-UC-L2-2.95-7A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.5,460,0.281,247.79,5.51257677
+1178,"Matthews et al. (2023), 300WD-UC-L2-2.95-7B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,3.99,460,0.249,248.5,5.515424334
+1179,"Matthews et al. (2023), 300WD-UC-L2-2.95-7C",,Embedded,Pre-loaded,D,New Zealand,500E,25,215,IC,External stainless steel bars,Sandblasting,300,13,3.5,3.82,460,0.239,248.01,5.513474713
+1180,"Matthews et al. (2023), 300WD-UC-L2-2.95-9A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.44,460,0.277,247.09,5.50976276
+1181,"Matthews et al. (2023), 300WD-UC-L2-2.95-9B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.33,460,0.27,245.77,5.504390443
+1182,"Matthews et al. (2023), 300WD-UC-L2-2.95-11A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.95,460,0.309,244.38,5.498722754
+1183,"Matthews et al. (2023), 300WD-UC-L2-2.95-11B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.78,460,0.299,243.39,5.494660576
+1184,"Matthews et al. (2023), 300WD-UC-L2-2.95-11C",,Embedded,Pre-loaded,D,New Zealand,500E,25,215,IC,External stainless steel bars,Sandblasting,300,13,3.5,5.12,460,0.32,245.84,5.504661393
+1185,"Matthews et al. (2023), 300WD-UC-L2-2.95-13A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.66,460,0.292,246.45,5.507170089
+1186,"Matthews et al. (2023), 300WD-UC-L2-2.95-13B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.5,460,0.281,247.73,5.512324911
+1187,"Matthews et al. (2023), 300WD-UC-L2-2.95-13C",,Embedded,Pre-loaded,D,New Zealand,500E,25,215,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.55,460,0.284,246.2,5.506124717
+1188,"Matthews et al. (2023), 300WD-UC-L2-2.95-15A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.21,460,0.263,246.4,5.506950144
+1189,"Matthews et al. (2023), 300WD-UC-L2-2.95-15B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.16,460,0.26,244.1,5.497589858
+1190,"Matthews et al. (2023), 300WD-UC-L2-2.95-17B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.44,460,0.277,245.83,5.504645935
+1191,"Matthews et al. (2023), 300WD-UC-L2-2.95-17C",,Embedded,Pre-loaded,D,New Zealand,500E,25,215,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.5,460,0.281,245.6,5.503703382
+1192,"Matthews et al. (2023), WD-MC-L1-1B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.04,460,0.253,254.87,5.54076499
+1193,"Matthews et al. (2023), WD-MC-L1-3A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.78,460,0.299,249.15,5.518048703
+1194,"Matthews et al. (2023), WD-MC-L1-3B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.95,460,0.309,245.57,5.503588147
+1195,"Matthews et al. (2023), WD-MC-L1-5A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.5,460,0.281,250.29,5.522636626
+1196,"Matthews et al. (2023), WD-MC-L1-5B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,5,460,0.313,251.09,5.525791527
+1197,"Matthews et al. (2023), WD-MC-L1-7B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.78,460,0.299,250.49,5.523432573
+1198,"Matthews et al. (2023), WD-MC-L1-9B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.33,460,0.27,242.74,5.491976493
+1199,"Matthews et al. (2023), WD-MC-L1-11B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,5.4,460,0.338,251.44,5.527215926
+1200,"Matthews et al. (2023), WD-MC-L1-13A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.83,460,0.302,252.59,5.531747826
+1201,"Matthews et al. (2023), WD-MC-L1-13B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,4.27,460,0.267,253.05,5.533582356
+1202,"Matthews et al. (2023), WD-MC-L1-15B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,3.76,460,0.235,251.46,5.527295464
+1203,"Matthews et al. (2023), WD-MC-L1-17B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,20,3.5,3.76,460,0.235,249.7,5.520259396
+1204,"Matthews et al. (2023), 300WD-MC-L2-3B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,3.08,460,0.193,249.18,5.518185158
+1205,"Matthews et al. (2023), 300WD-MC-L2-5A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.27,460,0.267,251.2,5.526251027
+1206,"Matthews et al. (2023), 300WD-MC-L2-5B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,3.99,460,0.249,250.18,5.522185056
+1207,"Matthews et al. (2023), 300WD-MC-L2-7A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.27,460,0.267,252.83,5.532712184
+1208,"Matthews et al. (2023), 300WD-MC-L2-11B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.27,460,0.267,251.86,5.528871392
+1209,"Matthews et al. (2023), 300WD-MC-L2-13A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.89,460,0.306,252.73,5.53231856
+1210,"Matthews et al. (2023), 300WD-MC-L2-13B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.61,460,0.288,252.78,5.532537347
+1211,"Matthews et al. (2023), 300WD-MC-L2-15A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.95,460,0.309,252.45,5.531207268
+1212,"Matthews et al. (2023), 300WD-MC-L2-15B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.72,460,0.295,252.59,5.531779498
+1213,"Matthews et al. (2023), 300WD-MC-L2-17A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.89,460,0.306,250.14,5.522009567
+1214,"Matthews et al. (2023), 300WD-MC-L2-17B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,13,3.5,4.72,460,0.295,250.06,5.521712486
+1215,"Matthews et al. (2023), WD-UC-M1-1A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,7.55,460,0.472,234.33,5.456718429
+1216,"Matthews et al. (2023), WD-UC-M1-1B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,7.61,460,0.475,236.53,5.466083083
+1217,"Matthews et al. (2023), WD-UC-M1-3A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,8.91,460,0.557,241.46,5.486704242
+1218,"Matthews et al. (2023), WD-UC-M1-3B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,11.68,460,0.73,215.26,5.371844742
+1219,"Matthews et al. (2023), WD-UC-M1-5A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,5.97,460,0.373,242.99,5.493005475
+1220,"Matthews et al. (2023), WD-UC-M1-5B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,4.38,460,0.274,242.73,5.491935707
+1221,"Matthews et al. (2023), WD-UC-M1-7A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,8.28,460,0.518,244.78,5.50033983
+1222,"Matthews et al. (2023), WD-UC-M1-7B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,8.91,460,0.557,235.47,5.461583517
+1223,"Matthews et al. (2023), WD-UC-M1-9A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,6.81,460,0.426,243.54,5.495263544
+1224,"Matthews et al. (2023), WD-UC-M1-9B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,6.53,460,0.408,241.14,5.485373531
+1225,"Matthews et al. (2023), WD-UC-M1-11A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,7.32,460,0.458,240.86,5.484205472
+1226,"Matthews et al. (2023), WD-UC-M1-11B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,7.66,460,0.479,234.05,5.455518959
+1227,"Matthews et al. (2023), WD-UC-M1-13A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,7.94,460,0.497,236.12,5.464335068
+1228,"Matthews et al. (2023), WD-UC-M1-13B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,7.32,460,0.458,240.44,5.482454358
+1229,"Matthews et al. (2023), WD-UC-M1-15A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,9.41,460,0.588,235.21,5.46045875
+1230,"Matthews et al. (2023), WD-UC-M1-15B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,8.96,460,0.56,228.17,5.430084391
+1231,"Matthews et al. (2023), WD-UC-M1-17A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,7.83,460,0.489,244.06,5.497414916
+1232,"Matthews et al. (2023), WD-UC-M1-17B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,8.74,460,0.546,238.59,5.474730251
+1233,"Matthews et al. (2023), WD-UC-M2-1A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,8.45,460,0.528,238.83,5.475746977
+1234,"Matthews et al. (2023), WD-UC-M2-1B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,9.47,460,0.592,243.36,5.494557032
+1235,"Matthews et al. (2023), WD-UC-M2-3A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,10.49,460,0.656,225.66,5.419030771
+1236,"Matthews et al. (2023), WD-UC-M2-3B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,10.04,460,0.627,238.3,5.473527027
+1237,"Matthews et al. (2023), WD-UC-M2-5A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,7.72,460,0.482,244.93,5.500962657
+1238,"Matthews et al. (2023), WD-UC-M2-5B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,8.74,460,0.546,236.99,5.46802301
+1239,"Matthews et al. (2023), WD-UC-M2-7A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,9.3,460,0.581,240.2,5.481485648
+1240,"Matthews et al. (2023), WD-UC-M2-7B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,10.66,460,0.666,221.97,5.402559807
+1241,"Matthews et al. (2023), WD-UC-M2-9A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,7.66,460,0.479,244.78,5.500348818
+1242,"Matthews et al. (2023), WD-UC-M2-9B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,7.66,460,0.479,240.5,5.482704289
+1243,"Matthews et al. (2023), WD-UC-M2-11A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,6.3,460,0.394,237.24,5.46907313
+1244,"Matthews et al. (2023), WD-UC-M2-11B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,6.47,460,0.405,232.97,5.450914412
+1245,"Matthews et al. (2023), WD-UC-M2-13A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,9.98,460,0.624,234.63,5.458002986
+1246,"Matthews et al. (2023), WD-UC-M2-15A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,8.4,460,0.525,244.44,5.498984198
+1247,"Matthews et al. (2023), WD-UC-M2-15B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,10.77,460,0.673,230.84,5.441716166
+1248,"Matthews et al. (2023), WD-UC-M2-17A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,7.27,460,0.454,243.52,5.495210983
+1249,"Matthews et al. (2023), WD-UC-M2-17B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,11.05,460,0.691,227.8,5.428476831
+1250,"Matthews et al. (2023), WD-MC-M1-1B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,5.46,462,0.341,250.48,5.523383469
+1251,"Matthews et al. (2023), WD-MC-M1-3A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,4.78,463,0.299,246.65,5.507950056
+1252,"Matthews et al. (2023), WD-MC-M1-3B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,4.66,464,0.292,244.68,5.499960226
+1253,"Matthews et al. (2023), WD-MC-M1-5A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,6.08,465,0.38,248.57,5.515706795
+1254,"Matthews et al. (2023), WD-MC-M1-5B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,5.68,466,0.355,251.01,5.52549995
+1255,"Matthews et al. (2023), WD-MC-M1-7A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,5.68,467,0.355,248.85,5.516867585
+1256,"Matthews et al. (2023), WD-MC-M1-7B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,5.91,468,0.369,252.31,5.530670777
+1257,"Matthews et al. (2023), WD-MC-M1-9A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,5.91,469,0.369,246.67,5.508053033
+1258,"Matthews et al. (2023), WD-MC-M1-9B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,5.4,470,0.338,247.13,5.509913705
+1259,"Matthews et al. (2023), WD-MC-M1-11A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,5.23,471,0.327,239.88,5.480131711
+1260,"Matthews et al. (2023), WD-MC-M1-11B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,6.3,472,0.394,233.1,5.451483848
+1261,"Matthews et al. (2023), WD-MC-M1-13A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,6.76,473,0.422,242.18,5.489689097
+1262,"Matthews et al. (2023), WD-MC-M1-15A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,6.25,475,0.391,243.42,5.494787114
+1263,"Matthews et al. (2023), WD-MC-M1-15B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,6.14,476,0.383,248.97,5.517323169
+1264,"Matthews et al. (2023), WD-MC-M2-1A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,7.38,460,0.461,244.77,5.500299792
+1265,"Matthews et al. (2023), WD-MC-M2-1B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,7.49,460,0.468,246.09,5.505702199
+1266,"Matthews et al. (2023), WD-MC-M2-3A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,7.04,460,0.44,240.88,5.48430179
+1267,"Matthews et al. (2023), WD-MC-M2-3B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,7.21,460,0.451,241.87,5.488395017
+1268,"Matthews et al. (2023), WD-MC-M2-5A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,8.06,460,0.504,245.01,5.501314535
+1269,"Matthews et al. (2023), WD-MC-M2-5B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,9.02,460,0.564,235.91,5.463438083
+1270,"Matthews et al. (2023), WD-MC-M2-7A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,8,460,0.5,241.07,5.4850944
+1271,"Matthews et al. (2023), WD-MC-M2-7B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,8.28,460,0.518,240.34,5.482060829
+1272,"Matthews et al. (2023), WD-MC-M2-9A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,8.79,460,0.55,244.16,5.497810642
+1273,"Matthews et al. (2023), WD-MC-M2-9B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,10.88,460,0.68,228.08,5.429695568
+1274,"Matthews et al. (2023), WD-MC-M2-11A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,7.27,460,0.454,238.9,5.476045473
+1275,"Matthews et al. (2023), WD-MC-M2-11B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,7.21,460,0.451,239.31,5.477746829
+1276,"Matthews et al. (2023), WD-MC-M2-13A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,6.59,460,0.412,240.18,5.481404047
+1277,"Matthews et al. (2023), WD-MC-M2-13B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,6.25,460,0.391,240.65,5.4833357
+1278,"Matthews et al. (2023), WD-MC-M2-15A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,7.77,460,0.486,241.66,5.487550401
+1279,"Matthews et al. (2023), WD-MC-M2-15B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,7.72,460,0.482,249.85,5.520859137
+1280,"Matthews et al. (2023), WD-MC-M2-17A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,6.36,460,0.398,246.15,5.505932169
+1281,"Matthews et al. (2023), WD-MC-M2-17B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,69,3.5,6.87,460,0.429,237.22,5.468966903
+1282,"Matthews et al. (2023), WD-UC-S1-1A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,9.02,460,0.564,238.92,5.476127512
+1283,"Matthews et al. (2023), WD-UC-S1-1B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,8.79,460,0.55,239.71,5.479449466
+1284,"Matthews et al. (2023), WD-UC-S1-3A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,11.11,460,0.694,229.45,5.435696036
+1285,"Matthews et al. (2023), WD-UC-S1-5A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,9.25,460,0.578,232.52,5.448970652
+1286,"Matthews et al. (2023), WD-UC-S1-5B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,9.53,460,0.595,232.35,5.448233235
+1287,"Matthews et al. (2023), WD-UC-S1-7A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,8.96,460,0.56,230.82,5.441630821
+1288,"Matthews et al. (2023), WD-UC-S1-7B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,8.91,460,0.557,230.18,5.438849447
+1289,"Matthews et al. (2023), WD-UC-S1-9A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,10.38,460,0.649,233.36,5.452572469
+1290,"Matthews et al. (2023), WD-UC-S1-9B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,9.64,460,0.603,231.91,5.446362733
+1291,"Matthews et al. (2023), WD-UC-S1-11A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,10.55,460,0.659,213.82,5.36513454
+1292,"Matthews et al. (2023), WD-UC-S1-11B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,9.02,460,0.564,236.15,5.464455763
+1293,"Matthews et al. (2023), WD-UC-S1-13A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,8.91,460,0.557,236.06,5.464069065
+1294,"Matthews et al. (2023), WD-UC-S1-13B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,8.62,460,0.539,231.75,5.445658773
+1295,"Matthews et al. (2023), WD-UC-S1-15A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,9.92,460,0.62,240.38,5.482221421
+1296,"Matthews et al. (2023), WD-UC-S1-15B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,11.73,460,0.733,220.62,5.396426353
+1297,"Matthews et al. (2023), WD-UC-S1-17B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,10.38,460,0.649,237.17,5.468788989
+1298,"Matthews et al. (2023), 300WD-UC-S2-2.95-1B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,80,3.5,20.72,460,1.295,208.55,5.340201836
+1299,"Matthews et al. (2023), 300WD-UC-S2-2.95-3A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,80,3.5,8.62,460,0.539,233.48,5.453086998
+1300,"Matthews et al. (2023), 300WD-UC-S2-2.95-3C",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,80,3.5,9.58,460,0.599,227.69,5.427966169
+1301,"Matthews et al. (2023), 300WD-UC-S2-2.95-5A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,80,3.5,7.1,460,0.444,234.36,5.456867355
+1302,"Matthews et al. (2023), 300WD-UC-S2-2.95-5B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,80,3.5,7.61,460,0.475,232.31,5.448083879
+1303,"Matthews et al. (2023), 300WD-UC-S2-2.95-5C",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,80,3.5,9.3,460,0.581,222,5.40265621
+1304,"Matthews et al. (2023), 300WD-UC-S2-2.95-7A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,80,3.5,8.57,460,0.535,231.46,5.444388927
+1305,"Matthews et al. (2023), 300WD-UC-S2-2.95-7C",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,80,3.5,7.38,460,0.461,209.34,5.343968801
+1306,"Matthews et al. (2023), 300WD-UC-S2-2.95-9A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,80,3.5,7.49,460,0.468,231.25,5.443510187
+1307,"Matthews et al. (2023), 300WD-UC-S2-2.95-9B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,80,3.5,7.15,460,0.447,241.11,5.485247454
+1308,"Matthews et al. (2023), 300WD-UC-S2-2.95-9C",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,80,3.5,9.02,460,0.564,219.97,5.393483445
+1309,"Matthews et al. (2023), 300WD-UC-S2-2.95-11A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,80,3.5,7.72,460,0.482,236.21,5.46472251
+1310,"Matthews et al. (2023), 300WD-UC-S2-2.95-11B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,80,3.5,9.81,460,0.613,238.08,5.472601291
+1311,"Matthews et al. (2023), 300WD-UC-S2-2.95-11C",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,80,3.5,6.76,460,0.422,220.51,5.395963906
+1312,"Matthews et al. (2023), 300WD-UC-S2-2.95-13A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,80,3.5,6.47,460,0.405,240.32,5.48197761
+1313,"Matthews et al. (2023), 300WD-UC-S2-2.95-13B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,80,3.5,6.76,460,0.422,242.67,5.491683952
+1314,"Matthews et al. (2023), 300WD-UC-S2-2.95-13C",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,80,3.5,8.06,460,0.504,234.1,5.455769306
+1315,"Matthews et al. (2023), 300WD-UC-S2-2.95-15A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,80,3.5,7.04,460,0.44,244.35,5.498599987
+1316,"Matthews et al. (2023), 300WD-UC-S2-2.95-15B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,80,3.5,8.17,460,0.511,238.33,5.47364368
+1317,"Matthews et al. (2023), 300WD-UC-S2-2.95-15C",,Embedded,Pre-loaded,D,New Zealand,500E,25,215,IC,External stainless steel bars,Sandblasting,200,80,3.5,7.77,460,0.486,229.88,5.437571354
+1318,"Matthews et al. (2023), 300WD-UC-S2-2.95-17A",,Embedded,Pre-loaded,D,New Zealand,500E,25,215,IC,External stainless steel bars,Sandblasting,200,80,3.5,6.76,460,0.422,232.75,5.449982961
+1319,"Matthews et al. (2023), 300WD-UC-S2-2.95-17B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,80,3.5,10.09,460,0.631,230.51,5.440287304
+1320,"Matthews et al. (2023), 300WD-UC-S2-2.95-17C",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,80,3.5,11.28,460,0.705,235.34,5.461026178
+1321,"Matthews et al. (2023), WD-MC-S1-1B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,7.21,462,0.451,245.69,5.5040718
+1322,"Matthews et al. (2023), WD-MC-S1-3A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,8.17,463,0.511,241.36,5.486276337
+1323,"Matthews et al. (2023), WD-MC-S1-3B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,6.98,464,0.436,244.21,5.49801336
+1324,"Matthews et al. (2023), WD-MC-S1-5A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,7.61,465,0.475,244.23,5.498129648
+1325,"Matthews et al. (2023), WD-MC-S1-5B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,8.17,466,0.511,233.78,5.454392051
+1326,"Matthews et al. (2023), WD-MC-S1-7A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,8.51,467,0.532,242.94,5.492809148
+1327,"Matthews et al. (2023), WD-MC-S1-9A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,8.4,469,0.525,241.41,5.486478506
+1328,"Matthews et al. (2023), WD-MC-S1-9B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,9.36,470,0.585,237.38,5.469660126
+1329,"Matthews et al. (2023), WD-MC-S1-11A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,7.94,471,0.497,240.32,5.481964295
+1330,"Matthews et al. (2023), WD-MC-S1-13A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,9.3,473,0.581,240.33,5.482014227
+1331,"Matthews et al. (2023), WD-MC-S1-13B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,9.3,474,0.581,241.65,5.48749495
+1332,"Matthews et al. (2023), WD-MC-S1-15A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,10.04,475,0.627,236.83,5.467346807
+1333,"Matthews et al. (2023), WD-MC-S1-17A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,9.47,477,0.592,238.74,5.475382633
+1334,"Matthews et al. (2023), WD-MC-S1-17B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,200,123,3.5,10.72,478,0.67,231.85,5.446104844
+1335,"Matthews et al. (2023), 300WD-MC-S2-1B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,7.55,480,0.472,237.4,5.46974564
+1336,"Matthews et al. (2023), 300WD-MC-S2-3A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,7.27,481,0.454,247.53,5.511539463
+1337,"Matthews et al. (2023), 300WD-MC-S2-3B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,6.7,482,0.419,250.12,5.521940003
+1338,"Matthews et al. (2023), 300WD-MC-S2-5A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,7.38,483,0.461,246.01,5.505378689
+1339,"Matthews et al. (2023), 300WD-MC-S2-5B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,7.61,484,0.475,244.46,5.499065604
+1340,"Matthews et al. (2023), 300WD-MC-S2-7A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,5.85,485,0.366,242.17,5.489620964
+1341,"Matthews et al. (2023), 300WD-MC-S2-7B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,6.19,486,0.387,242.6,5.491413584
+1342,"Matthews et al. (2023), 300WD-MC-S2-9A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,7.49,487,0.468,246.03,5.505442912
+1343,"Matthews et al. (2023), 300WD-MC-S2-9B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,8.4,488,0.525,240.04,5.480815158
+1344,"Matthews et al. (2023), 300WD-MC-S2-11B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,9.75,490,0.61,234.76,5.458571809
+1345,"Matthews et al. (2023), 300WD-MC-S2-13A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,8,491,0.5,244.74,5.500184982
+1346,"Matthews et al. (2023), 300WD-MC-S2-15A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,7.1,493,0.444,246.59,5.507723389
+1347,"Matthews et al. (2023), 300WD-MC-S2-15B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,7.55,494,0.472,247.21,5.51023211
+1348,"Matthews et al. (2023), 300WD-MC-S2-17A",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,6.93,495,0.433,243.31,5.494331007
+1349,"Matthews et al. (2023), 300WD-MC-S2-17B",,Embedded,Pre-loaded,D,New Zealand,500E,25,225,IC,External stainless steel bars,Sandblasting,300,82,3.5,7.15,496,0.447,246.16,5.505980919
diff --git a/Functions.py b/Functions.py
new file mode 100644
index 0000000..1edaf13
--- /dev/null
+++ b/Functions.py
@@ -0,0 +1,122 @@
+import pandas as pd
+import numpy as np
+
+import sklearn
+from sklearn import preprocessing
+from sklearn.preprocessing import MinMaxScaler # Normalization
+from sklearn.preprocessing import OrdinalEncoder
+
+
+def load_data() -> pd.DataFrame: # load csv file
+    return pd.read_csv("Data.csv", keep_default_na=False, na_values=['_'])
+    # keep_default_na=False ensures data with N/A are interpretted as strings not missing numbers.
+
+    
+def col_type(df) -> pd.DataFrame: # Seperate features into different types 
+    
+    # Define lists of column labels by type - categorical, numerical, response (output)
+    cat_cols = ["Specimen_Type", "Load_History", "Bar_Type", "Steel_Origin", "Bar_Grade", 
+                "Corrosion_Method", "Cathode_Type", "Cleaning_Method"] # Categorical Columns
+
+    num_cols = ["Nominal Diameter", "Gauge Length", "Current Density", "Exposure Duration", "Solution Concentration", 
+                "Mass Loss", "Corroded Length"] # Numerical Columns
+    
+    # ANFIS model only takes a maximum of 8 input features - trim the input lists.
+    anfis_cols = ["Specimen_Type", "Load_History", "Bar_Grade", "Corrosion_Method", "Nominal Diameter", 
+                  "Current Density", "Exposure Duration", "Mass Loss"] 
+
+    out_col = ["ln(Fy)"] # Output Column [target]
+    
+    return cat_cols, num_cols, anfis_cols, out_col
+    
+    
+def encoder(df):
+    enc = OrdinalEncoder()
+    df = enc.fit_transform(df)
+    return df
+
+
+def feature_scaling(df):
+    scaler = MinMaxScaler()
+    df_scaled = scaler.fit_transform(df)
+    return df_scaled
+
+
+# Define ANFIS model parameters
+def fis_params():
+    # Model only works with maximum of 8 input variables.
+    # Set 8 input variables with 3 gaussian membership functions each.
+    MEMBFUNCS = [
+        {'function': 'gaussian', 'n_memb': 3, 
+         'params': {'mu': {'value': [-0.5, 0.0, 0.5], 'trainable': True}, 
+         'sigma': {'value': [1.0, 1.0, 1.0], 'trainable': True}}},
+
+        {'function': 'gaussian', 'n_memb': 3, 
+         'params': {'mu': {'value': [-0.5, 0.0, 0.5], 'trainable': True}, 
+         'sigma': {'value': [1.0, 1.0, 1.0], 'trainable': True}}},
+
+        {'function': 'gaussian', 'n_memb': 3, 
+         'params': {'mu': {'value': [-0.5, 0.0, 0.5], 'trainable': True}, 
+         'sigma': {'value': [1.0, 1.0, 1.0], 'trainable': True}}},
+
+        {'function': 'gaussian', 'n_memb': 3, 
+         'params': {'mu': {'value': [-0.5, 0.0, 0.5], 'trainable': True}, 
+         'sigma': {'value': [1.0, 1.0, 1.0], 'trainable': True}}},
+
+        {'function': 'gaussian', 'n_memb': 3, 
+         'params': {'mu': {'value': [-0.5, 0.0, 0.5], 'trainable': True}, 
+         'sigma': {'value': [1.0, 1.0, 1.0], 'trainable': True}}},
+
+        {'function': 'gaussian', 'n_memb': 3, 
+         'params': {'mu': {'value': [-0.5, 0.0, 0.5], 'trainable': True}, 
+         'sigma': {'value': [1.0, 1.0, 1.0], 'trainable': True}}},
+
+        {'function': 'gaussian', 'n_memb': 3, 
+         'params': {'mu': {'value': [-0.5, 0.0, 0.5], 'trainable': True}, 
+         'sigma': {'value': [1.0, 1.0, 1.0], 'trainable': True}}},
+
+        {'function': 'gaussian', 'n_memb': 3, 
+         'params': {'mu': {'value': [-0.5, 0.0, 0.5], 'trainable': True}, 
+         'sigma': {'value': [1.0, 1.0, 1.0], 'trainable': True}}}]
+
+    # Model hyperparameters
+    param = {"n_input": 8, "n_memb": 8,"batch_size": 25, 
+             "memb_func": 'gaussian', "scaler": 'Std', 
+             "n_epochs": 100, "lr": 0.005, "patience": 100, 
+             "delta": 1e-6, "sigma": 0.1}
+    
+    return MEMBFUNCS, param
+
+
+
+# Error Functions
+def r_squared(Y, y_hat):
+    y_bar = Y.mean()
+    ss_res = ((Y - y_hat)**2).sum()
+    ss_tot = ((Y - y_bar)**2).sum()
+    return 1 - (ss_res/ss_tot)
+
+def mean_squared_err(Y, y_hat):
+    var = ((Y - y_hat)**2).sum()
+    n = len(Y)
+    return var/n
+
+def root_mean_squared_err(Y, y_hat):
+    MSE = mean_squared_err(Y, y_hat)
+    return np.sqrt(MSE)
+
+def mean_abs_err(Y, y_hat):
+    abs_var = (np.abs(Y - y_hat)).sum()
+    n = len(Y)
+    return abs_var/n
+
+def mean_abs_perc_err(Y, y_hat):
+    mape = np.mean(np.abs((Y - y_hat)/ y_hat))*100
+    return mape
+
+
+
+
+
+
+
diff --git a/helpers.py b/helpers.py
new file mode 100644
index 0000000..d637e43
--- /dev/null
+++ b/helpers.py
@@ -0,0 +1,365 @@
+# Torch modules
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+from torch.utils.tensorboard import SummaryWriter
+
+# general modules
+import pandas as pd
+import numpy as np
+import copy
+from sklearn.exceptions import NotFittedError
+import copy
+import time
+from sklearn.exceptions import NotFittedError
+
+
+def equally_spaced_initializer(n_memb: int, n_statevars: int, minval: float = -1.5, maxval: float = 1.5) -> torch.Tensor:
+    """Custom weight initializer: equally spaced weights along an operating range of [minval, maxval].
+
+    Args:
+        n_memb (int): no. of membership functions.
+        n_statevars (int): no. of state variables.
+        minval (float, optional): minimum value. Defaults to -1.5.
+        maxval (float, optional): maximum value. Defaults to 1.5.
+
+    Returns:
+        torch.Tensor: Initialized parameters.
+    """
+    linspace = torch.reshape(torch.linspace(minval, maxval, n_memb),
+                             (-1, 1))
+    return nn.Parameter(linspace.repeat(1, n_statevars))
+
+
+class _RunManager():
+    def __init__(self, epochs: int, hparams_dict: dict, name: str, n_statevars: int, n_rules: int, n_input: int, patience: int = 10, delta: int = 0.0001):
+        """Run Manager keeps track of epochs, (best) losses and prints the progress bars. Also controls the tensorboard.
+
+        Args:
+            epochs (int): No. of epochs.
+            hparams_dict (dict): (Additional) hyperparameters to store in tensorboard.
+            name (str)
+            n_statevars (int): No. of state variables.
+            n_rules (int): No. of rules.
+            n_input (int): No. of inputs.
+            patience (int, optional): Patience parameter. Defaults to 10.
+            delta (int, optional): Delta parameter. Defaults to 0.0001.
+        """
+
+        # sanfis parameters
+        self.epochs = epochs
+        self.name = name
+        self.hparams_dict = hparams_dict
+        self.n_statevars = n_statevars
+        self.n_input = n_input
+        self.n_rules = n_rules
+
+        # early stopping criteria
+        self.patience = patience
+        self.iter = 0
+        self.counter = 0
+        self.best_loss = float('inf')
+        self.global_best_loss = float('inf')
+        self.early_stop = False
+        self.delta = delta
+
+        # train and valid curve
+        self.train_curve_iter = []     # train loss per iteration
+        self.train_curve = []    # train loss per epoch
+        self.valid_curve = []    # valid loss per epoch
+
+        # epoch counter
+        self.epoch = 0
+
+        # progress bar
+        self.start_time = time.time()
+        self.pbar_step = self.epochs / 100
+        self.tbwriter = None
+
+    def __call__(self, model_weights, epoch, train_loss, valid_loss, pbar):
+        self.epoch += 1
+
+        # track losses
+        self._track_losses(train_loss, valid_loss)
+
+        loss = self.valid_curve[-1].item()
+
+        # check early stop criteria
+        if loss + self.delta < self.best_loss:
+            self.best_loss = loss
+            self.epoch = epoch
+            self.counter = 0
+            if loss < self.global_best_loss:
+                self.global_best_loss = loss
+                self.save_checkpoint(model_weights)
+        else:
+            self.counter += 1
+            if self.counter >= self.patience:
+                self.early_stop = True
+
+        # update progress bar
+        if self.epoch % self.pbar_step == 0:
+            pbar.update(self.pbar_step)
+            pbar.set_postfix(
+                train_loss=round(self.train_curve[-1].item(), 5), valid_loss=round(self.valid_curve[-1].item(), 5))
+
+    def get_writer(self, logdir):
+        if logdir == None:
+            logdir = 'logs/runs/'
+
+        logDATE = __import__("datetime").datetime.now().strftime(
+            '%Y_%m_%d_%H%M%S')
+
+        logHPARAM = ''.join(
+            [f'_{d}{self.hparams_dict[d]}' for d in self.hparams_dict])
+        logNAME = f'-S{self.n_statevars}_N{self.n_input}_R{self.n_rules}{logHPARAM}'
+
+        writer = SummaryWriter(logdir + logDATE + logNAME, comment=logNAME)
+        # writer = SummaryWriter(comment=logNAME) # alternative
+
+        self.tbwriter = writer
+
+    def save_checkpoint(self, weights):
+        self.best_weights = copy.deepcopy(weights)
+
+    def load_checkpoint(self):
+        return self.best_weights
+
+    def reset_earlystopper(self):
+        self.counter = 0
+        self.best_loss = float('inf')
+        self.early_stop = False
+
+    def _track_losses(self, train_loss, valid_loss):
+        self.train_curve.append(sum(train_loss) / len(train_loss))
+        self.train_curve_iter.extend(train_loss)
+        self.valid_curve.append(sum(valid_loss) / len(valid_loss))
+
+        if self.tbwriter:
+            self.tbwriter.add_scalar(
+                'Loss/train', self.train_curve[-1], self.epoch)
+            self.tbwriter.add_scalar(
+                'Loss/valid', self.valid_curve[-1], self.epoch)
+            # #  add histograms of weights
+            # for name, weight in self.named_parameters():
+            #     writer.add_histogram(name, weight, epoch)
+
+    def end_training(self):
+        self.run_time = time.time() - self.start_time
+
+        if self.tbwriter:
+            # log hparams
+            HPARAMS = {"model": self.name,
+                       "n_statevars": self.n_statevars,
+                       "n_input": self.n_input,
+                       "n_rules": self.n_rules,
+                       **self.hparams_dict}
+            self.tbwriter.add_hparams(HPARAMS,
+                                      {
+                                          "train_loss": self.train_curve[-1],
+                                          "valid_loss": self.global_best_loss,
+                                      },
+                                      )
+            # close writer
+            self.tbwriter.flush()
+            self.tbwriter.close()
+
+    def get_report_history(self):
+
+        report = {**self.hparams_dict,
+                  "model": self.name,
+                  "n_statevars": self.n_statevars,
+                  "n_input": self.n_input,
+                  "n_rules": self.n_rules,
+                  "run_time": self.run_time}
+
+        history = pd.DataFrame({'train_curve': np.array(
+            self.train_curve), 'valid_curve': np.array(self.valid_curve)}).rename_axis('epoch')
+
+        return report, history
+
+
+class _FastTensorDataLoader():
+    """
+    A DataLoader-like object for a set of tensors that can be much faster than
+    TensorDataset + DataLoader because dataloader grabs individual indices of
+    the dataset and calls cat (slow).
+    https://discuss.pytorch.org/t/dataloader-much-slower-than-manual-batching/27014/6
+    """
+
+    def __init__(self, tensors, batch_size=32, shuffle=False):
+        """
+        Initialize a _FastTensorDataLoader.
+
+        :param *tensors: tensors to store. Must have the same length @ dim 0.
+        :param batch_size: batch size to load.
+        :param shuffle: if True, shuffle the data *in-place* whenever an
+            iterator is created out of this object.
+
+        :returns: A _FastTensorDataLoader.
+        """
+        assert all(t.shape[0] == tensors[0].shape[0] for t in tensors)
+        self.dataset = tensors
+
+        self.dataset_len = self.dataset[0].shape[0]
+        self.batch_size = batch_size
+        self.shuffle = shuffle
+
+        # Calculate # batches
+        n_batches, remainder = divmod(self.dataset_len, self.batch_size)
+        if remainder > 0:
+            n_batches += 1
+        self.n_batches = n_batches
+
+    def __iter__(self):
+        if self.shuffle:
+            self.indices = torch.randperm(self.dataset_len)
+        else:
+            self.indices = None
+        self.i = 0
+        return self
+
+    def __next__(self):
+        if self.i >= self.dataset_len:
+            raise StopIteration
+        if self.indices is not None:
+            indices = self.indices[self.i:self.i + self.batch_size]
+            batch = tuple(torch.index_select(t, 0, indices)
+                          for t in self.dataset)
+        else:
+            batch = tuple(t[self.i:self.i + self.batch_size]
+                          for t in self.dataset)
+        self.i += self.batch_size
+        return batch
+
+    def __len__(self):
+        return self.n_batches
+
+
+class StandardScaler(object):
+    def __init__(self):
+        self.fitted = False
+
+    def fit(self, train_dl: _FastTensorDataLoader):
+        self.S_mean, self.X_mean, self.y_mean = [
+            data.mean(axis=0) for data in train_dl.dataset]
+        self.S_std, self.X_std, self.y_std = [
+            data.std(axis=0) for data in train_dl.dataset]
+        self.fitted = True
+
+    def transform(self, dataloader: _FastTensorDataLoader) -> _FastTensorDataLoader:
+        if not self.fitted:
+            raise NotFittedError(
+                'Error: The StandardScaler instance is not yet fitted. Call "fit" with appropriate arguments before using this estimator.')
+
+        transformed_dataloder = copy.deepcopy(dataloader)
+
+        transformed_dataloder.dataset[0] = (
+            transformed_dataloder.dataset[0] - self.S_mean) / self.S_std
+        transformed_dataloder.dataset[1] = (
+            transformed_dataloder.dataset[1] - self.X_mean) / self.X_std
+
+        # correct for zero division
+        transformed_dataloder.dataset[1][transformed_dataloder.dataset[1].isnan(
+        )] = 0.0
+
+        # if real output required
+        if len(transformed_dataloder.dataset) == 3:
+            transformed_dataloder.dataset[2] = (
+                transformed_dataloder.dataset[2] - self.y_mean) / self.y_std
+
+        return transformed_dataloder
+
+    def transform_X(self, X, inverse=False):
+        if inverse:
+            return X * self.X_std + self.X_mean
+        return (X - self.X_mean) / self.X_std
+
+    def transform_S(self, S, inverse=False):
+        if inverse:
+            return S * self.S_std + self.S_mean
+        return (S - self.S_mean) / self.S_std
+
+    def transform_y(self, y, inverse=False):
+        if inverse:
+            return y * self.y_std + self.y_mean
+        return (y - self.y_mean) / self.y_std
+
+    def fit_transform(self, dataloader: _FastTensorDataLoader):
+        self.fit(dataloader)
+        return self.transform(dataloader)
+
+
+class NoneScaler(object):
+    """
+    This class does nothing.
+    """
+
+    def fit(self, train_dl: _FastTensorDataLoader):
+        pass
+
+    def transform(self, dataloader: _FastTensorDataLoader):
+        return dataloader
+
+    def transform_X(self, X, inverse=False):
+        return X
+
+    def transform_S(self, S, inverse=False):
+        return S
+
+    def transform_y(self, y, inverse=False):
+        return y
+
+    def fit_transform(self, dataloader: _FastTensorDataLoader):
+        self.fit(dataloader)
+        return self.transform(dataloader)
+
+
+class DataScaler(object):
+
+    """Class to perform data scaling operations
+    The scaling technique is defined by the ``scaler`` parameter which takes one of the 
+    following values: 
+    - ``'Std'`` for standarizing the data to follow a normal distribution. 
+    - ``'None'`` No transformation at all. 
+
+    ----------
+    normalize : str
+        Type of scaling to be performed. Possible values are ``'Std'`` or  ``None``.
+    """
+
+    def __init__(self, scaler: str = 'Std'):
+
+        if scaler == 'Std':
+            self.scaler = StandardScaler()
+        elif scaler == 'None':
+            self.scaler = NoneScaler()
+        else:
+            raise ValueError(
+                f"Scaler can normalize via 'Std' or 'None', but {scaler} was given.")
+
+    def fit_transform(self, train_dl: _FastTensorDataLoader):
+        """Method that estimates an scaler object using the data in ``dataset`` and scales the data in  ``dataset``
+
+        """
+
+        return self.scaler.fit_transform(train_dl)
+
+    def transform(self, dataloader: _FastTensorDataLoader) -> _FastTensorDataLoader:
+        """Method that scales the data in ``dataloader``
+        """
+        # store information from the data for plotting purposes
+        # see plotmfs() from sanfis class
+        self.lower_s = [np.percentile(s, 5) for s in dataloader.dataset[0].T]
+        self.higher_s = [np.percentile(s, 95) for s in dataloader.dataset[0].T]
+        # self.max_s =
+        return self.scaler.transform(dataloader)
+
+    def transform_X(self, X, inverse: bool = False):
+        return self.scaler.transform_X(X, inverse)
+
+    def transform_S(self, S, inverse: bool = False):
+        return self.scaler.transform_S(S, inverse)
+
+    def transform_y(self, y, inverse: bool = False):
+        return self.scaler.transform_y(y, inverse)
diff --git a/run.py b/run.py
new file mode 100644
index 0000000..2e85193
--- /dev/null
+++ b/run.py
@@ -0,0 +1,571 @@
+from sanfis import SANFIS
+from Functions import *
+
+import numpy as np
+import pandas as pd
+
+import tensorflow as tf
+import torch
+import torch.nn as nn
+import torch.optim as optim
+import os
+import time
+
+from keras.models import Sequential
+from keras.layers import Dense, Activation
+from keras.optimizers import Adam
+from keras.wrappers.scikit_learn import KerasRegressor
+from keras import backend as K
+
+from sklearn import preprocessing
+from sklearn.model_selection import KFold
+from sklearn.model_selection import train_test_split
+from sklearn.model_selection import GridSearchCV
+from sklearn.linear_model import LinearRegression
+from sklearn.ensemble import GradientBoostingRegressor
+from sklearn.ensemble import RandomForestRegressor
+from sklearn.svm import SVR
+from sklearn.gaussian_process import GaussianProcessRegressor
+from sklearn.gaussian_process.kernels import ConstantKernel, RBF
+
+import catboost as cb
+from catboost import Pool, CatBoostRegressor
+
+from pygam import GAM, LinearGAM, s, f, te # pyGAM package for running linear regression GAMs
+
+
+############################################# DATA PREPARATION ###################################################
+
+# Load database
+df = load_data()
+cat_cols, num_cols, anfis_cols, out_col = col_type(df) # Separate features by type - lists
+
+
+# Encode categorical variables
+df[cat_cols] = encoder(df[cat_cols])
+df[cat_cols] = df[cat_cols].astype(object) # Convert to object
+
+
+# Dataframes for all other models except Catboost and ANFIS
+X = pd.concat([df[num_cols], df[cat_cols]], axis='columns')
+X_s = feature_scaling(X) # Normalize all features
+Y = df[out_col]
+Y = Y.to_numpy()
+
+
+# CatBoost model - Keep categorical features as strings, only encode numericals.
+X_ns = pd.DataFrame(feature_scaling(df[num_cols]))
+X_cat = pd.concat([X_ns, df[cat_cols]], axis='columns')
+X_cat = X_cat.to_numpy()
+
+
+# Feature dataframe for ANFIS model
+X_ANFIS = df[anfis_cols]
+X_te_s = feature_scaling(X_ANFIS) # Normalize all features
+
+# Convert Datasets to PyTorch Tensors for ANFIS model
+X_te = X_te_s.astype(np.float32) 
+X_te = torch.from_numpy(X_te)
+Y_te = Y.astype(np.float32)
+Y_te = torch.from_numpy(Y_te)
+
+
+############################################## MODELS ####################################################
+######## CREATE CROSS-VALIDATION LOOP ########
+# Split dataset into k-folds (10) and remove the test set (10 %). 
+# Then train all models on the same 90 % of the data, splitting this further into training and validation sets for e.g. the ANN. 
+# Reiterate the model over every fold, training and testing each model 10 times. 
+# Repeat the 10-fold cross-validation 10 times (100-fold total) reshuffling the dataset split each 10 folds.
+
+
+kf1 = KFold(n_splits=10, random_state=1, shuffle=True) # Define the split - into 10 folds
+r2, mse, rmse, mae, mape = np.zeros([100,9]), np.zeros([100,9]), np.zeros([100,9]), np.zeros([100,9]), np.zeros([100,9])
+fold_shuffle = np.random.randint(10,100,10)
+
+# Use lists to combine all test sets in best performing model for model evaluation - regression, residuals, etc. (GBRT in this example).
+Y_test_all = []
+y_best_all = []
+
+i = 0
+time_start = time.time()
+for j in range(kf1.n_splits):
+    
+    # Define the fold split and reshuffle each loop.
+    kf2 = KFold(n_splits=10, random_state=fold_shuffle[j], shuffle=True)
+    
+    for train_index, test_index in kf2.split(X_s, Y):
+        
+        # All features are numerical and normalized
+        X_train, X_test = X_s[train_index], X_s[test_index]
+        Y_train, Y_test = Y[train_index], Y[test_index]
+        Y_inv = np.exp(Y_test) # Convert test set back into original scale -- from natural log
+
+        # Training & Validation datasets for ANN
+        X_70, X_val, Y_70, Y_val = train_test_split(X_train, Y_train, test_size=0.2)
+
+        # Datasets for ANFIS model - converted to PyTorch Tensors
+        X_train_te, X_test_te = X_te[train_index], X_te[test_index]
+        Y_train_te, Y_test_te = Y_te[train_index], Y_te[test_index]
+
+        # Datasets for CatBoost - categorical features left as strings
+        X_train_cat, X_test_cat = X_cat[train_index], X_cat[test_index]
+
+        # Compile test data from all k-folds to plot best model    
+        Y_test_list = Y_inv.tolist()
+        Y_test_all += Y_test_list
+
+        ############################################# NEURAL NETWORKS ###################################################
+        ################################################## ANN ##########################################################
+
+        def ann_opt(X_train, X_val, Y_train, Y_val):
+
+            def ann_architecture(): # Create ANN model architecture
+
+                ann_model = Sequential()
+                ann_model.add(Dense(128, input_dim=15, kernel_initializer='normal', activation='relu'))
+                ann_model.add(Dense(64, kernel_initializer='normal', activation='sigmoid'))
+                ann_model.add(Dense(1))
+                ann_model.compile(optimizer='adam', loss='mse', metrics=['mse', 'mae'])  
+
+                return ann_model
+
+            ann_model = ann_architecture()
+
+            # Train and evaluate the model
+            history = ann_model.fit(X_train, Y_train, batch_size=25, epochs=150, verbose=0, validation_data=(X_val, Y_val))
+            ann_model.evaluate(X_test, Y_test)
+
+            # Generate predictions
+            y_pred_ann = ann_model.predict(X_test)
+
+            return(y_pred_ann, history, ann_model)
+
+        y_pred_ann, history, ann_model = ann_opt(X_train, X_val, Y_train, Y_val)
+
+        # Convert prediction back to original magnitude
+        y_ann_inv = np.exp(y_pred_ann)
+
+        # Record error metrics from each fold
+        r2[i,0] = r_squared(Y_inv, y_ann_inv)
+        mse[i,0] = mean_squared_err(Y_inv, y_ann_inv)
+        rmse[i,0] = root_mean_squared_err(Y_inv, y_ann_inv)
+        mae[i,0] = mean_abs_err(Y_inv, y_ann_inv)
+        mape[i,0] = mean_abs_perc_err(Y_inv, y_ann_inv)
+
+        ################################################# ANFIS ##########################################################
+        
+        # Call ANFIS functions
+        MEMBFUNCS, anfis_params = fis_params() # Set hyperparameters and membership functions through Functions.py
+        fis = SANFIS(membfuncs=MEMBFUNCS, n_input=8, scale=anfis_params['scaler']) # All other ANFIS model code for backend.
+        
+        loss_functions = nn.MSELoss(reduction='mean')
+        optimizer = optim.Adam(fis.parameters(), lr=anfis_params['lr'])
+
+        # fit model
+        history = fis.fit([X_train_te, Y_train_te], [X_test_te, Y_test_te],
+                          optimizer=optimizer, loss_function=loss_functions, batch_size=anfis_params['batch_size'],
+                          epochs=anfis_params['n_epochs'])
+
+        # Predict data
+        y_pred_anfis = fis.predict(X_test_te)
+
+        # Convert prediction back to original magnitude
+        y_pred_anfis = y_pred_anfis.numpy()
+        y_anfis_inv = np.exp(y_pred_anfis)   
+
+        # Record error metrics from each fold
+        r2[i,1] = r_squared(Y_inv, y_anfis_inv)
+        mse[i,1] = mean_squared_err(Y_inv, y_anfis_inv)
+        rmse[i,1] = root_mean_squared_err(Y_inv, y_anfis_inv)
+        mae[i,1] = mean_abs_err(Y_inv, y_anfis_inv)
+        mape[i,1] = mean_abs_perc_err(Y_inv, y_anfis_inv)
+
+        ############################################## TREE MODELS #######################################################
+        ################################################# GBRT ########################################################### 
+
+        def gbrt_opt(X_train, Y_train):
+
+            def gbrt_model(): # Add optimized hyperparameters into GBRT model
+
+                gbrt_model = GradientBoostingRegressor(n_estimators=400, learning_rate=0.2, max_depth=2, 
+                                                       max_leaf_nodes=5, min_samples_leaf=1, min_samples_split=8, 
+                                                       random_state=0, loss='squared_error')            
+                return gbrt_model
+
+            gbrt_model = gbrt_model()    
+
+            # Train the optimised model
+            gbrt_model.fit(X_train, Y_train.ravel())
+
+            # Predict the response 
+            y_pred_gbrt = gbrt_model.predict(X_test)
+
+            return y_pred_gbrt
+
+        y_pred_gbrt = gbrt_opt(X_train, Y_train)
+
+        # Convert prediction back to original magnitude
+        y_gbrt_inv = np.exp(y_pred_gbrt).reshape(-1,1)
+
+        # After running 100 iterations, GBRT is the best performing model.
+        # Record all predictions into an array for plotting
+        y_pred_gbrt_list = y_gbrt_inv.tolist()
+        y_gbrt_all += y_pred_gbrt_list
+
+        # Record error metrics from each fold
+        r2[i,2] = r_squared(Y_inv, y_gbrt_inv)
+        mse[i,2] = mean_squared_err(Y_inv, y_gbrt_inv)
+        rmse[i,2] = root_mean_squared_err(Y_inv, y_gbrt_inv)
+        mae[i,2] = mean_abs_err(Y_inv, y_gbrt_inv)
+        mape[i,2] = mean_abs_perc_err(Y_inv, y_gbrt_inv)
+
+        ################################################# CBR #########################################################
+
+        def cb_model(X_train_cat, Y_train):
+
+            cb_train = cb.Pool(X_train_cat, Y_train, cat_features=[7,8,9,10,11,12,13,14])
+            cb_test = cb.Pool(X_test_cat, Y_test, cat_features=[7,8,9,10,11,12,13,14])
+
+            # Build model
+            cb_model = cb.CatBoostRegressor(loss_function='MAE')
+
+            # Define grid-search parameters
+            cb_grid = {'iterations': [400], 'learning_rate': [0.1], 
+                   'depth':[4], 'l2_leaf_reg': [0.5]}
+
+            # Fit the model to the hyperparameter grid-search
+            cb_model.grid_search(cb_grid, cb_train, verbose=False)
+
+            return cb_model
+
+        cb_model = cb_model(X_train_cat, Y_train)
+
+        # Generate predictions
+        y_pred_cb = cb_model.predict(X_test_cat)
+
+        # Convert prediction back to original magnitude
+        y_cb_inv = np.exp(y_pred_cb).reshape(-1,1)
+
+        # Record error metrics from each fold
+        r2[i,3] = r_squared(Y_inv, y_cb_inv)
+        mse[i,3] = mean_squared_err(Y_inv, y_cb_inv)
+        rmse[i,3] = root_mean_squared_err(Y_inv, y_cb_inv)
+        mae[i,3] = mean_abs_err(Y_inv, y_cb_inv)
+        mape[i,3] = mean_abs_perc_err(Y_inv, y_cb_inv)
+
+        #################################################### RF ############################################################
+
+        def rf_model():
+
+            rf_model = RandomForestRegressor(n_estimators=400, max_depth=3, max_features=1.0, 
+                                             min_samples_leaf=1, min_samples_split=2, random_state=25, 
+                                             bootstrap=True, n_jobs=-1, criterion='squared_error')
+            return rf_model
+
+        rf_model = rf_model()
+
+        # Train the model
+        rf_model.fit(X_train, Y_train.ravel())
+
+        # Predict response
+        y_pred_rf = rf_model.predict(X_test)
+
+        # Convert prediction back to original magnitude
+        y_rf_inv = np.exp(y_pred_rf).reshape(-1,1)
+
+        # Record error metrics from each fold
+        r2[i,4] = r_squared(Y_inv, y_rf_inv)
+        mse[i,4] = mean_squared_err(Y_inv, y_rf_inv)
+        rmse[i,4] = root_mean_squared_err(Y_inv, y_rf_inv)
+        mae[i,4] = mean_abs_err(Y_inv, y_rf_inv)
+        mape[i,4] = mean_abs_perc_err(Y_inv, y_rf_inv)
+
+        ############################################## KERNEL-BASED MACHINES ################################################
+        ####################################################### SVR #########################################################
+
+        def svr_model(X_train, Y_train):
+
+            params_svr = {'kernel': ['rbf'],
+                        'gamma': ['scale', 'auto'], 
+                        'C': [0.1,0.5,1,2,5,10,50,100,500,1000]}
+
+            svr_model = GridSearchCV(SVR(), param_grid=params_svr, refit=True, verbose=False, cv=10, n_jobs=-1)
+            svr_model.fit(X_train, Y_train)
+
+            return svr_model
+
+        svr_model = svr_model(X_train, Y_train.ravel())
+
+        # Predict the response
+        y_pred_svr = svr_model.predict(X_test)
+
+        # Convert prediction back to original magnitude
+        y_svr_inv = np.exp(y_pred_svr).reshape(-1,1)
+
+        # Record error metrics from each fold
+        r2[i,5] = r_squared(Y_inv, y_svr_inv)
+        mse[i,5] = mean_squared_err(Y_inv, y_svr_inv)
+        rmse[i,5] = root_mean_squared_err(Y_inv, y_svr_inv)
+        mae[i,5] = mean_abs_err(Y_inv, y_svr_inv)
+        mape[i,5] = mean_abs_perc_err(Y_inv, y_svr_inv)
+
+        ####################################################### GPR #########################################################
+
+        def gpr_model(X_train, Y_train):
+            kernel = ConstantKernel(1.0, (1e-1, 1e3)) * RBF(10, (1e-3, 1e3))
+
+            gpr_model = GaussianProcessRegressor(kernel=kernel, n_restarts_optimizer=10, alpha=0.1, normalize_y=True)
+
+            # Fit the model
+            gpr_model.fit(X_train, Y_train)
+            gpr_params = gpr_model.kernel_.get_params() # Outputs the tune kernel function hyperparameters
+
+            return gpr_model, gpr_params
+
+        gpr_model, gpr_params = gpr_model(X_train, Y_train)
+
+        # Predict the response
+        y_pred_gpr, std = gpr_model.predict(X_test, return_std=True)
+
+        # Convert prediction back to original magnitude
+        y_gpr_inv = np.exp(y_pred_gpr).reshape(-1,1)
+
+        # Record error metrics from each fold
+        r2[i,6] = r_squared(Y_inv, y_gpr_inv)
+        mse[i,6] = mean_squared_err(Y_inv, y_gpr_inv)
+        rmse[i,6] = root_mean_squared_err(Y_inv, y_gpr_inv)
+        mae[i,6]= mean_abs_err(Y_inv, y_gpr_inv)
+        mape[i,6] = mean_abs_perc_err(Y_inv, y_gpr_inv)
+
+        ################################################# LINEAR MODELING ###################################################
+        #################################################### GAM ##########################################################
+
+        def gam(X_train, Y_train):
+
+            # Define gridsearch parameter ranges
+            grid_splines = np.linspace(10,30,20) # number of splines per feature
+            lams = np.random.rand(50, 15) # lambda value for smoothing penalization
+            lams = lams * 15 - 3 # Search space for lam needs 15 dimensions for a model with 15 lam terms (one per feature)
+            lams = np.exp(lams)
+
+            # Build the model
+            # Numerical functions given spline terms s(),
+            # Categorical variables given step function terms f().
+            gam_model = LinearGAM(s(0)+s(1)+s(2)+s(3)+s(4)+s(5)+s(6)+
+                                  f(7)+f(8)+f(9)+f(10)+f(11)+f(12)+f(13)+
+                                  f(14)).gridsearch(X_train, Y_train, n_splines=grid_splines, lam=lams)
+
+            return gam_model
+
+        gam_model = gam(X_train, Y_train)
+
+        # Train the model
+        gam_model.fit(X_train, Y_train)
+
+        # Predict the response
+        y_pred_gam = gam_model.predict(X_test)
+
+        # Convert prediction back to original magnitude
+        y_gam_inv = np.exp(y_pred_gam).reshape(-1,1)
+
+        # Record error metrics from each fold
+        r2[i,7] = r_squared(Y_inv, y_gam_inv)
+        mse[i,7] = mean_squared_err(Y_inv, y_gam_inv)
+        rmse[i,7] = root_mean_squared_err(Y_inv, y_gam_inv)
+        mae[i,7] = mean_abs_err(Y_inv, y_gam_inv)
+        mape[i,7] = mean_abs_perc_err(Y_inv, y_gam_inv)
+
+        ###################################################### MLR #########################################################
+
+        def mlr():
+
+            mlr_model = LinearRegression()
+
+            return mlr_model
+
+        mlr_model = mlr()
+
+        # Fit the model
+        mlr_model.fit(X_train, Y_train)
+
+        # Predict the response
+        y_pred_mlr = mlr_model.predict(X_test)
+
+        # Convert prediction back to original magnitude
+        y_mlr_inv = np.exp(y_pred_mlr)
+
+        # Record error metrics from each fold
+        r2[i,8] = r_squared(Y_inv, y_mlr_inv)
+        mse[i,8] = mean_squared_err(Y_inv, y_mlr_inv)
+        rmse[i,8] = root_mean_squared_err(Y_inv, y_mlr_inv)
+        mae[i,8] = mean_abs_err(Y_inv, y_mlr_inv)
+        mape[i,8] = mean_abs_perc_err(Y_inv, y_mlr_inv)
+
+    
+        i += 1 
+    j += 1
+    
+
+time_end = time.time()
+print("Elapsed time: %.2f seconds" % (time_end - time_start))
+
+
+
+############################################## MODEL ERROR AND PERFORMANCE ################################################
+
+df_r2 = pd.DataFrame(r2).rename(columns={0:'ANN', 1:'ANFIS', 2:'GBRT', 
+                                         3:'CBR', 4:'RF', 5:'SVR', 
+                                         6:'GPR', 7:'GAM', 8:'MLR'})
+df_mse = pd.DataFrame(mse).rename(columns={0:'ANN', 1:'ANFIS', 2:'GBRT', 
+                                         3:'CBR', 4:'RF', 5:'SVR', 
+                                         6:'GPR', 7:'GAM', 8:'MLR'})
+
+
+df_rmse = pd.DataFrame(rmse).rename(columns={0:'ANN', 1:'ANFIS', 2:'GBRT', 
+                                         3:'CBR', 4:'RF', 5:'SVR', 
+                                         6:'GPR', 7:'GAM', 8:'MLR'})
+
+
+df_mae = pd.DataFrame(mae).rename(columns={0:'ANN', 1:'ANFIS', 2:'GBRT', 
+                                         3:'CBR', 4:'RF', 5:'SVR', 
+                                         6:'GPR', 7:'GAM', 8:'MLR'})
+
+
+df_mape = pd.DataFrame(mape).rename(columns={0:'ANN', 1:'ANFIS', 2:'GBRT', 
+                                         3:'CBR', 4:'RF', 5:'SVR', 
+                                         6:'GPR', 7:'GAM', 8:'MLR'})
+
+# df_r2.to_csv('100-fold R2 - All Models.csv')
+# df_mse.to_csv('100-fold MSE - All Models.csv')
+# df_rmse.to_csv('100-fold RMSE - All Models.csv')
+# df_mae.to_csv('100-fold MAE - All Models.csv')
+# df_mape.to_csv('100-fold MAPE - All Models.csv')
+
+print(df_r2['MLR'].mean())
+df_r2.head(20)
+
+
+
+######################################### HYPERPARAMETER OPTIMIZATION EXAMPLES ###########################################
+################################################### ANN OPTIMIZATION #####################################################
+
+def ann_architecture(activation): # Create ANN model architecture
+    ann_model = Sequential()
+    ann_model.add(Dense(units = 128, input_dim=15, kernel_initializer='normal', activation='relu'))
+    ann_model.add(Dense(units = 64, kernel_initializer='normal', activation=activation))
+    ann_model.add(Dense(1))
+    ann_model.compile(optimizer='adam', loss='mse', metrics=['mse', 'mae'])    
+    return ann_model
+
+ann_model = KerasRegressor(build_fn = ann_architecture)
+
+# GridSearchCV Optimization
+params_ann = {'batch_size': [25,50,75], 
+              'epochs': [75,100,125,150,175], 
+              'activation': ['relu', 'sigmoid']}
+
+# Fit the model to the hyperparameter grid-search
+ann_opt = GridSearchCV(estimator = ann_model, param_grid=params_ann, 
+                               scoring = 'neg_mean_absolute_error', cv=5, n_jobs=-1)
+ann_opt.fit(X_train, Y_train, verbose=0)
+
+print(" Results from ANN Grid Search " )
+print("\n The best score across ALL searched params:\n", ann_opt.best_score_)
+print("\n The best parameters across ALL searched params:\n", ann_opt.best_params_)
+
+
+################################################## GBRT OPTIMIZATION #####################################################
+
+def gbrt_bench(): # Create benchmark GBRT model
+    gbrt_model = GradientBoostingRegressor(n_estimators=500, learning_rate=0.1, max_depth=2, max_leaf_nodes=5,
+                                      min_samples_leaf=1, min_samples_split=2, random_state=0, loss='squared_error')
+    return gbrt_model
+
+gbrt_bench = gbrt_bench()
+
+# Train the benchmark model
+gbrt_bench.fit(X_train, Y_train.ravel())
+
+# Apply grid optimisation for other hyperparamters
+params_gbrt = {'n_estimators': [100,200,300,400,500], 
+               'learning_rate': [0.05, 0.1, 0.15, 0.2, 0.25], 
+               'max_depth': [2,4,6,8], 
+               'min_samples_split': [2,4,6,8]}
+
+# Fit the model to the hyperparameter grid-search
+gbrt_opt = GridSearchCV(estimator=gbrt_bench, param_grid=params_gbrt, cv=5, n_jobs=-1)
+gbrt_opt.fit(X_train, Y_train.ravel())
+
+print(" Results from GBRT Grid Search " )
+print("\n The best estimator across ALL searched params:\n", gbrt_opt.best_estimator_)
+print("\n The best score across ALL searched params:\n", gbrt_opt.best_score_)
+print("\n The best parameters across ALL searched params:\n", gbrt_opt.best_params_)
+
+
+################################################ CatBoost OPTIMIZATION ###################################################
+
+cb_train = cb.Pool(X_train_cat, Y_train, cat_features=[7,8,9,10,11,12,13,14])
+cb_test = cb.Pool(X_test_cat, Y_test, cat_features=[7,8,9,10,11,12,13,14])
+
+# Build model
+cb_model = cb.CatBoostRegressor(iterations=1000, loss_function='MAE')
+
+# Define grid-search parameters
+cb_grid = {'iterations': [300,400,500], 'learning_rate': [0.05,0.1,0.15,0.2],
+             'depth':[2,4,6,8], 'l2_leaf_reg': [0.25,0.5,1]}
+
+# Fit the model to the hyperparameter grid-search
+cb_model.grid_search(cb_grid, cb_train, verbose=False)
+
+print("Elapsed time: %.2f seconds" % (time_end - time_start))
+print("Count of trees in model = {}".format(cb_model.tree_count_))
+print("\n The best parameters across ALL searched params:\n", cb_model.get_params())
+
+
+################################################### RF OPTIMIZATION #####################################################
+
+def rf_bench():
+    rf_model = RandomForestRegressor(n_estimators=500, max_depth=5, max_features='auto', min_samples_leaf=1, 
+                                     min_samples_split=2, random_state=25, n_jobs=-1, criterion='squared_error')
+    return rf_model
+
+rf_model = rf_bench()
+
+# Define grid search parameters
+params_rf = {'n_estimators': [100,200,300,400,500], 
+             'max_features': [1.0, 'sqrt', 'log2'], 
+             'max_depth': [3,4,5,6,7]}
+
+# Fit the model to the hyperparameter grid-search
+rf_opt = GridSearchCV(estimator=rf_model, param_grid=params_rf, cv=5, n_jobs=-1)
+rf_opt.fit(X_train, Y_train)
+
+print(" Results from RF Grid Search " )
+print("\n The best estimator across ALL searched params:\n", rf_opt.best_estimator_)
+print("\n The best score across ALL searched params:\n", rf_opt.best_score_)
+print("\n The best parameters across ALL searched params:\n", rf_opt.best_params_)
+
+
+################################################### GPR OPTIMIZATION #####################################################
+# The kernel hyperparameters are automatically tuned in GaussianProcessRegressor, however, the model hyperparamters still need tuning.
+# Note: return_std cannot be used with GridSearchCV.
+
+
+kernel = ConstantKernel(1.0, (1e-1, 1e3)) * RBF(10, (1e-3, 1e3))
+
+gpr_model = GaussianProcessRegressor(kernel=kernel, n_restarts_optimizer=10, alpha=0.1, normalize_y=True)
+
+# Try gridsearchcv
+params_gpr = {'n_restarts_optimizer': [5,10,15,20], 'alpha': [0.01,0.1,1]}
+
+gpr_model = GridSearchCV(gpr_model, param_grid=params_gpr, cv=10, verbose=2, n_jobs=-1)
+
+# Fit the model
+gpr_model.fit(X_train, Y_train)
+
+# gpr_params = gpr_model.kernel_.get_params() # Outputs the tuned kernel function hyperparameters
+
+print("Elapsed time: %.2f seconds" % (time_end - time_start))
+print("\n The best parameters across ALL searched params:\n", gpr_model.best_params_)
+print("Optimized Kernel Hyperparameters: " )
+# print(gpr_params)
\ No newline at end of file
diff --git a/sanfis.py b/sanfis.py
new file mode 100644
index 0000000..9f8b48d
--- /dev/null
+++ b/sanfis.py
@@ -0,0 +1,718 @@
+# -----------------------------------------------------------
+# Implementation of S-ANFIS
+# (C) 2020 Gregor Lenhard
+# email gregor.lenhard@unibas.ch
+# -----------------------------------------------------------
+# torch modules
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+from torch.utils.tensorboard import SummaryWriter
+# general modules
+import pandas as pd
+import matplotlib.pyplot as plt
+import numpy as np
+from tqdm import tqdm
+from typing import List, Callable, Optional, Union
+# sanfis modules
+from helpers import _RunManager, _FastTensorDataLoader, DataScaler
+
+
+class SANFIS(nn.Module):
+    def __init__(self, membfuncs: list, n_input: int, to_device: Optional[str] = None, scale: str = 'None', name: str = 'S-ANFIS'):
+        """State-Adaptie Neuro-Fuzzy Inference System (S-ANFIS)
+
+        Parameters
+        ----------
+        membfuncs : list
+            List of membership functions. Supported functions are: ``'gaussian'``, ``'bell'``, and ``'sigmoid'``.
+
+            Examples:
+                {'function': 'gaussian',
+                'n_memb': 3,
+                'params': {'mu': {'value': [-2.0, 0.0, 1.5],
+                                'trainable': True},
+                            'sigma': {'value': [1.0, 0.5, 1.0],
+                                    'trainable': True}}},
+
+                {'function': 'bell',
+                'n_memb': 2,
+                'params': {'c': {'value': [-1.5, 1.5],
+                                'trainable': True},
+                            'a': {'value': [3.0, 1.0],
+                                'trainable': False},
+                            'b': {'value': [1.0, 3.0],
+                                'trainable': False}}},
+
+                {'function': 'sigmoid',
+                'n_memb': 2,
+                'params': {'c': {'value': [0.0, 0.0],
+                                'trainable': True},
+                            'gamma': {'value': [-2.5, 2.5],
+                                    'trainable': True}}},
+
+        n_input : int
+            Number of Input values for the S-ANFIS system. Typically equivalent to ``X.shape[1]``.
+        to_device : str
+            On which device to run the model. ``'gpu'`` or ``'cpu'``.
+        scale : str
+            Type of scaling to be performed. Possible values are ``'Std'`` or ``'None'``.
+        name : str
+            Name of the model.
+        """
+        super(SANFIS, self).__init__()
+        self._membfuncs = membfuncs
+        self._memberships = [memb['n_memb'] for memb in membfuncs]
+        self._rules = int(np.prod(self._memberships))
+        self._s = len(membfuncs)
+        self._n = n_input
+        self.scaler = DataScaler(scale)
+        self.name = name
+
+        # build model
+        self.layers = nn.ModuleDict({
+            # Layer 1 - fuzzyfication
+            'fuzzylayer': _FuzzyLayer(membfuncs),
+
+            # Layer 2 - rule layer
+            'rules': _RuleLayer(),
+
+            # Layer 3 - normalization - is a simple function --> see forward pass
+
+            # Layer 4 - consequence layer
+            'consequence': _ConsequenceLayer(self._n, self._rules),
+
+            # Layer 5 - weighted-sum - is a simple function
+        })
+
+        # save initial fuzzy weights
+        self._initial_premise = self.premise
+
+        # determine device (cuda / cpu) if not specifically given
+        if to_device == None:
+            self.device = torch.device(
+                "cuda:0" if torch.cuda.is_available() else "cpu")
+        else:
+            self.device = to_device
+
+        self.to(self.device)
+
+    # Network architecture is defined in terms of class properties
+    # You shall not switch the architecture after creating an object of SANFIS
+    def forward(self, S_batch: torch.Tensor, X_batch: torch.Tensor) -> torch.Tensor:
+        """forward pass through the model.
+
+        Args:
+            S_batch (torch.Tensor): Tensor of state variables S.
+            X_batch (torch.Tensor): Tensor of explanatory (independent) input variables X.
+
+        Returns:
+            torch.Tensor: output / prediction of dependent variable (y_hat)
+        """
+        # Layer 1 - fuzzyfication
+        output1 = self.layers['fuzzylayer'](S_batch)
+
+        # Layer 2 - rule layer
+        output2 = self.layers['rules'](output1)
+
+        # Layer 3 - normalization layer // output3 == wnorm
+        output3 = F.normalize(output2, p=1, dim=1)
+
+        # Layer 4 - consequence layer
+        output4 = self.layers['consequence'](
+            X_batch, output3)
+
+        # Layer 5 - summation
+        output5 = output4.sum(axis=1).reshape(-1, 1)
+
+        return output5
+
+    def _reset_model_parameters(self):
+        """reset model parameters (for early stopping procedure)
+        """
+        optlcass = self.optimizer.__class__
+        self.optimizer = optlcass(self.parameters(), lr=self.optimizer.__dict__[
+            'param_groups'][0]['lr'])
+
+        # reset parameters
+        with torch.no_grad():
+            for layer in self.layers.values():
+                if hasattr(layer, 'reset_parameters'):
+                    layer.reset_parameters()
+
+    def fit(self, train_data: List[torch.Tensor], valid_data: List[torch.Tensor], optimizer: Callable, loss_function: Callable, batch_size: int = 16, shuffle_batches: bool = True, epochs: int = 100, patience: int = 10, delta: float = 1e-5, use_tensorboard: bool = False, logdir: Optional[str] = None, hparams_dict: dict = {}, disable_output: bool = False) -> pd.DataFrame:
+        """Model fitting function.
+
+        Args:
+            train_data (List[torch.Tensor]): Training data, e.g. [S_train, X_train, y_train] or [X_train, y_train]
+            valid_data (List[torch.Tensor]): Validation data, e.g. [S_valid, X_valid, y_valid] or [X_valid, y_valid]
+            optimizer (Callable): optimizer, e.g. torch.optim.Adam(model.paramters())
+            loss_function (Callable): loss function from torch, e.g. nn.torch.MSELoss()
+            batch_size (int, optional): batch size. Defaults to 16.
+            shuffle_batches (bool, optional): controls of batches schall be shuffled. Defaults to True.
+            epochs (int, optional): number of epochs. Defaults to 100.
+            patience (int, optional): patience paramter for early stopping. How many consecutive deterioration of the loss are allowed. Defaults to 10.
+            delta (float, optional): delta for the loss deterioration. Defaults to 1e-5.
+            use_tensorboard (bool, optional): Wether to use tensorboard. Defaults to False.
+            logdir (Optional[str], optional): Directory for tensorboard logs. Defaults to None.
+            hparams_dict (dict, optional): Additional Hyperparamters to be stored in tensorboard. Defaults to {}.
+            disable_output (bool, optional): Supress model progress print. Defaults to False.
+
+        Returns:
+            pd.DataFrame: Loss history.
+        """
+        assert len(train_data) == len(valid_data), \
+            f'train_data and valid data must be both either list of 2 or 3 torch tensors. train_data is len {len(train_data)} and valid_data is len {len(valid_data)}.'
+        assert len(train_data) == 2 or len(train_data) == 3, \
+            f'List of training data must contain 2 or 3 tensors. For ANFIS [X_train, y_train]. For S-ANFIS [S_train, X_train, y_train]'
+
+        # transform data to list if necessary
+        if len(train_data) == 2:
+            train_data = [train_data[0], train_data[0], train_data[1]]
+            valid_data = [valid_data[0], valid_data[0], valid_data[1]]
+
+            # store optimizer
+        self.optimizer = optimizer
+
+        # transform data to list
+
+        # get dataloader
+        train_dl = _FastTensorDataLoader(train_data,
+                                         batch_size, shuffle_batches)
+        valid_dl = _FastTensorDataLoader(valid_data,
+                                         batch_size, shuffle_batches)
+
+        # scale data
+        train_dl_scaled = self.scaler.fit_transform(train_dl)
+        valid_dl_scaled = self.scaler.transform(valid_dl)
+
+        # set up run manager
+        run_manager = _RunManager(epochs, hparams_dict, self.name, self.n_statevars, self.num_rules,
+                                  self.n_input, patience, delta)
+        # set up tensorboard
+        if use_tensorboard:
+            run_manager.get_writer(logdir)
+
+        # print
+        if not disable_output:
+            print(
+                f"Train s-anfis on {len(train_dl_scaled.dataset[0])} samples, validate on {len(valid_dl_scaled.dataset[0])} samples")
+
+        # main training loop (via tqdm progress bar)
+        with tqdm(total=epochs, ascii=True, desc='Training Loop', unit='epochs', disable=disable_output) as pbar:
+            for epoch in range(epochs):
+                # Training
+                train_loss = []
+                self.train()
+
+                for sb_train, xb_train, yb_train in train_dl_scaled:
+                    # send tensors to device (cpu/gpu)
+                    sb_train = sb_train.to(self.device)
+                    xb_train = xb_train.to(self.device)
+                    yb_train = yb_train.to(self.device)
+                    # forward pass & loss calculation
+                    train_pred = self(sb_train, xb_train)
+                    loss = loss_function(train_pred, yb_train)
+                    train_loss.append(loss.detach())
+                    # perform backward, update weights, zero gradients
+                    loss.backward()
+                    self.optimizer.step()
+                    self.optimizer.zero_grad()
+
+                # Validation
+                with torch.no_grad():
+                    self.eval()
+                    valid_loss = []
+                    sb_valid, xb_valid, yb_valid = valid_dl_scaled.dataset
+                    y_pred_valid = self(sb_valid, xb_valid)
+                    # TODO: should not be a list.
+                    valid_loss = [
+                        loss_function(yb_valid, y_pred_valid)]
+
+                # end epoch (track losses & update pbar)
+                run_manager(self.state_dict(), epoch,
+                            train_loss, valid_loss, pbar)
+
+                # check early stop and safe weights
+                if run_manager.early_stop == True:
+                    self._reset_model_parameters()
+                    run_manager.reset_earlystopper()
+
+        # load best model weights
+        best_weights = run_manager.load_checkpoint()
+        self.load_state_dict(best_weights)
+
+        # end training / get reports
+        run_manager.end_training()
+        self.report, history = run_manager.get_report_history()
+
+        return history
+
+    def predict(self, input: Union[List[torch.Tensor], torch.Tensor], return_scaled: bool = False) -> Union[torch.Tensor, tuple]:
+        """Predict output y from a given input [S, X]
+
+        Args:
+            input (List[torch.Tensor]): Input data, e.g. [S_data, X_data]
+            return_scaled (bool, optional): Wether to return scaled data of y. Defaults to False.
+
+        Returns:
+            Union[torch.Tensor, list]: Output / prediction of y
+        """
+        if type(input) == torch.Tensor:
+            input = [input, input]
+        elif type(input) == list and len(input) == 1:
+            input = [input[0], input[0]]
+        elif type(input) == list and len(input) == 2:
+            pass
+        else:
+            raise ValueError(
+                f'input must be either a torch tensor (for ANFIS), a list of 1 torch tensor (for ANFIS) or a list of two torch tensors (for S-ANFIS).')
+
+        # get dataloader
+        dataloader = _FastTensorDataLoader(input, batch_size=1000)
+
+        # scale data
+        dataloader_scaled = self.scaler.transform(dataloader)
+        dataloader_scaled.shuffle = False
+
+        # predict
+        with torch.no_grad():
+            self.eval()
+            y_pred_scaled = torch.tensor([])
+            if len(input) == 2:
+                for sb, xb in dataloader_scaled:
+                    pred = self(sb.to(self.device), xb.to(self.device))
+                    y_pred_scaled = torch.cat([
+                        y_pred_scaled, pred]).reshape(-1, 1)
+            else:
+                for sb, xb, yb in dataloader_scaled:
+                    pred = self(sb.to(self.device), xb.to(self.device))
+                    y_pred_scaled = torch.cat([
+                        y_pred_scaled, pred]).reshape(-1, 1)
+
+        # rescale y_pred
+        y_pred = self.scaler.transform_y(y_pred_scaled, inverse=True)
+
+        # return data
+        if return_scaled:
+            y_scaled = dataloader_scaled.dataset[2]
+            return y_pred, y_pred_scaled, y_scaled
+        else:
+            return y_pred
+
+    def plotmfs(self, show_initial_weights=True, show_firingstrength: bool = True, bounds: Optional[list] = None, names: Optional[list] = None, title: Optional[str] = None, show_title: bool = True, save_path: Optional[str] = None):
+        """Plots the membership functions.
+
+        Args:
+            show_initial_weights (bool, optional): Defaults to True.
+            show_firingstrength (bool, optional): Show (normalized) firing strength as area plot. Defaults to True.
+            bounds (Optional[list], optional): Bounds of the respective membership function. Defaults to None.
+            names (Optional[list], optional): Names of the respective (state) variable. Defaults to None.
+            title (str, optional): Title of the plot.
+            show_title (bool, optional): Defaults to True.
+            save_path (Optional[str], optional): Path to save the plot. Defaults to None.
+        """
+        # plot bounds
+        if not bounds:
+            lower_s = self.scaler.lower_s
+            higher_s = self.scaler.higher_s
+        else:
+            lower_s, higher_s = list(zip(*bounds))
+
+        # (scaled) state variables
+        SN = torch.empty((1000, self._s))
+        for i, (smin, smax) in enumerate(zip(lower_s, higher_s)):
+            SN[:, i] = torch.linspace(smin, smax, 1000)
+        SN_scaled = self.scaler.transform_S(SN)
+
+        # membership curves
+        with torch.no_grad():
+            membership_curves = []
+            for i, layer in enumerate(self.layers.fuzzylayer.fuzzyfication):
+                membership_curves.append(
+                    layer(SN_scaled[:, [i]]).detach().numpy())
+
+        # initial membership curves
+        with torch.no_grad():
+            init_membership_curves = []
+            for i, layer in enumerate(_FuzzyLayer(self._initial_premise).fuzzyfication):
+                init_membership_curves.append(
+                    layer(SN_scaled[:, [i]]).detach().numpy())
+
+        # set plot names
+        if names == None:
+            plot_names = [
+                f'State Variable {s+1} ({self.premise[s]["function"]})' for s in range(self.n_statevars)]
+        else:
+            plot_names = names
+
+        # setup plot
+        plt.style.use('seaborn')
+        fig, ax = plt.subplots(
+            nrows=self.n_statevars, ncols=1, figsize=(8, self.n_statevars * 3))
+        if show_title:
+            if title == None:
+                fig.suptitle(f'Membership functions {self.name}', size=16)
+            else:
+                fig.suptitle(title, size=16)
+        fig.subplots_adjust(hspace=0.4)
+
+        # plot curves
+        for s, curve in enumerate(membership_curves):
+            ax[s].grid(True)
+            ax[s].set_title(
+                plot_names[s], size=19)
+            # prepare colors
+            colors = []
+            for m in range(curve.shape[1]):
+                colors.append(next(ax[s]._get_lines.prop_cycler)['color']
+                              )
+            # plot membfuncs for each statevar
+            for m in range(curve.shape[1]):
+                # color = next(ax[s]._get_lines.prop_cycler)['color']
+                ax[s].plot(SN[:, s], curve[:, m], color=colors[m])
+                if show_initial_weights:
+                    ax[s].plot(SN[:, s], init_membership_curves[s][:, m],
+                               '--', color=colors[m], alpha=.5)
+            # show normalized memb_funcs
+            if show_firingstrength:
+                norm_curve = curve / curve.sum(1).reshape(-1, 1)
+                ax[s].stackplot(
+                    SN[:, s], [col for col in norm_curve.T], alpha=0.3, colors=colors)
+
+            # ax[s].set_xticklabels(SN[:, s].detach().tolist(), fontsize=16)
+            # ax[s].set_yticklabels(fontsize=16)
+            ax[s].tick_params(axis='x', labelsize=14)
+            ax[s].tick_params(axis='y', labelsize=14)
+
+        plt.show()
+
+        if save_path != None:
+            fig.savefig(save_path, bbox_inches='tight', pad_inches=0)
+
+    @property
+    def n_statevars(self):
+        return self._s
+
+    @property
+    def n_input(self):
+        return self._n
+
+    @property
+    def memberships(self):
+        return self._memberships
+
+    @property
+    def num_rules(self):
+        return self._rules
+
+    @property
+    def premise(self):
+        return [level.coeffs for level in self.layers.fuzzylayer.fuzzyfication]
+
+    @premise.setter  # TODO: REFRESH
+    def premise(self, new_memberships: list):
+        self.layers.fuzzylayer = _FuzzyLayer(new_memberships)
+        self._initial_premise = self.premise
+
+    @property
+    def consequence(self):
+        return self.layers['consequence'].coeffs
+
+    @consequence.setter
+    def consequence(self, new_consequence: dict):
+        self.layers['consequence'].coeffs = new_consequence
+
+    @property
+    def scaling_params(self):
+        return self.scaler.scaler.__dict__
+
+
+class _FuzzyLayer(nn.Module):
+    def __init__(self, membfuncs):
+        """Represents the fuzzy layer (layer 1) of s-anfis. Inputs will be fuzzyfied
+        """
+        super(_FuzzyLayer, self).__init__()
+        self.n_statevars = len(membfuncs)
+
+        fuzzyfication = nn.ModuleList()
+
+        for membfunc in membfuncs:
+            if membfunc['function'] == 'gaussian':
+                MembershipLayer = _GaussianFuzzyLayer(
+                    membfunc['params'], membfunc['n_memb'])
+            elif membfunc['function'] == 'bell':
+                MembershipLayer = _BellFuzzyLayer(
+                    membfunc['params'], membfunc['n_memb'])
+            elif membfunc['function'] == 'sigmoid':
+                MembershipLayer = _SigmoidFuzzyLayer(
+                    membfunc['params'], membfunc['n_memb'])
+            else:
+                raise Exception(
+                    'Membership function must be either "gaussian", "bell", or "sigmoid".')
+
+            fuzzyfication.append(MembershipLayer)
+
+        self.fuzzyfication = fuzzyfication
+
+    def reset_parameters(self):
+        [layer.reset_parameters() for layer in self.fuzzyfication]
+
+    def forward(self, input_):
+        assert input_.shape[1] == self.n_statevars,\
+            f'Number of State Variables in the input ({input_.shape[1]}) and network membershinputfunctions ({self.n_statevars}) dont match.'
+        output = [Layer(input_[:, [i]])
+                  for i, Layer in enumerate(self.fuzzyfication)]
+
+        return output
+
+
+class _GaussianFuzzyLayer(nn.Module):
+    def __init__(self, params: dict, n_memb: int):
+        """Represents the gaussian fuzzy layer (layer 1) of s-anfis. Inputs will be fuzzyfied
+        """
+        super(_GaussianFuzzyLayer, self).__init__()
+        self.params = params
+        self.m = n_memb
+
+        self._mu = torch.tensor([params['mu']['value']])
+        self._sigma = torch.tensor([params['sigma']['value']])
+
+        if params['mu']['trainable'] == True:
+            self._mu = nn.Parameter(self._mu)
+
+        if params['sigma']['trainable'] == True:
+            self._sigma = nn.Parameter(self._sigma)
+
+    @property
+    def coeffs(self):
+        return {'function': 'gaussian',
+                'n_memb': self.m,
+                'params': {'mu': {'value': self._mu.data.clone().flatten().tolist(),
+                                  'trainable': isinstance(self._mu, nn.Parameter)},
+                           'sigma': {'value': self._sigma.data.clone().flatten().tolist(),
+                                     'trainable': isinstance(self._sigma, nn.Parameter)}
+                           }
+                }
+
+    def reset_parameters(self):
+        with torch.no_grad():
+            self._mu[:] = torch.tensor([self.params['mu']['value']])
+            self._sigma[:] = torch.tensor([self.params['sigma']['value']])
+
+    def forward(self, input_):
+        output = torch.exp(
+            - torch.square(
+                (input_.repeat(
+                    1, self.m).reshape(-1, self.m) - self._mu)
+                / self._sigma.square()
+            )
+        )
+        return output
+
+
+class _BellFuzzyLayer(nn.Module):
+    def __init__(self, params: dict, n_memb: int):
+        """Represents the bell-shaped fuzzy layer (layer 1) of S-ANFIS. Inputs will be fuzzyfied
+        """
+        super(_BellFuzzyLayer, self).__init__()
+        self.params = params
+        self.m = n_memb
+
+        self._c = torch.tensor([params['c']['value']])
+        self._a = torch.tensor([params['a']['value']])
+        self._b = torch.tensor([params['b']['value']])
+
+        if params['a']['trainable'] == True:
+            self._a = nn.Parameter(self._a)
+
+        if params['b']['trainable'] == True:
+            self._b = nn.Parameter(self._b)
+
+        if params['c']['trainable'] == True:
+            self._c = nn.Parameter(self._c)
+
+    @property
+    def coeffs(self):
+        return {'function': 'bell',
+                'n_memb': self.m,
+                'params': {'c': {'value': self._c.data.clone().flatten().tolist(),
+                                 'trainable': isinstance(self._c, nn.Parameter)},
+                           'a': {'value': self._a.data.clone().flatten().tolist(),
+                                 'trainable': isinstance(self._a, nn.Parameter)},
+
+                           'b': {'value': self._b.data.clone().flatten().tolist(),
+                                 'trainable': isinstance(self._b, nn.Parameter)}
+                           }
+                }
+
+    def reset_parameters(self):
+        with torch.no_grad():
+            self._c[:] = torch.tensor([self.params['c']['value']])
+            self._a[:] = torch.tensor([self.params['a']['value']])
+            self._b[:] = torch.tensor([self.params['b']['value']])
+
+    def forward(self, input_):
+
+        output = 1 / (1 + torch.pow(((input_.repeat(1,
+                                                    self.m).view(-1, self.m) - self._c).square() / self._a), self._b))
+
+        return output
+
+
+class _SigmoidFuzzyLayer(nn.Module):
+    """Represents the sigmoid fuzzy layer (layer 1) of s-anfis. Inputs will be fuzzyfied
+    """
+
+    def __init__(self, params: dict, n_memb: int):
+        super(_SigmoidFuzzyLayer, self).__init__()
+        self.params = params
+        self.m = n_memb
+
+        self._c = torch.tensor([params['c']['value']])
+        self._gamma = torch.tensor([params['gamma']['value']])
+
+        if params['c']['trainable'] == True:
+            self._c = nn.Parameter(self._c)
+        if params['gamma']['trainable'] == True:
+            self._gamma = nn.Parameter(self._gamma)
+
+    @property
+    def coeffs(self):
+        return {'function': 'sigmoid',
+                'n_memb': self.m,
+                'params': {'c': {'value': self._c.data.clone().flatten().tolist(),
+                                 'trainable': isinstance(self._c, nn.Parameter)},
+                           'gamma': {'value': self._gamma.data.clone().flatten().tolist(),
+                                     'trainable': isinstance(self._gamma, nn.Parameter)}
+                           }
+                }
+
+    def reset_parameters(self):
+        with torch.no_grad():
+            self._c[:] = torch.tensor([self.params['c']['value']])
+            self._gamma[:] = torch.tensor([self.params['gamma']['value']])
+
+    def forward(self, input_):
+
+        # = 1 / (1 + e^(- input_))
+        output = torch.sigmoid(
+            self._gamma * (input_.repeat(1, self.m).view(-1, self.m) - self._c))
+
+        return output
+
+
+class _RuleLayer(nn.Module):
+    def __init__(self):
+        """Rule layer / layer 2 of the S-ANFIS network
+        """
+        super(_RuleLayer, self).__init__()
+
+    def forward(self, input_):
+        batch_size = input_[0].shape[0]
+        n_in = len(input_)
+
+        if n_in == 2:
+            output = input_[0].view(batch_size, -1, 1) * \
+                input_[1].view(batch_size, 1, -1)
+
+        elif n_in == 3:
+            output = input_[0].view(batch_size, -1, 1, 1) * \
+                input_[1].view(batch_size, 1, -1, 1) * \
+                input_[2].view(batch_size, 1, 1, -1)
+
+        elif n_in == 4:
+            output = input_[0].view(batch_size, -1, 1, 1, 1) * \
+                input_[1].view(batch_size, 1, -1, 1, 1) * \
+                input_[2].view(batch_size, 1, 1, -1, 1) * \
+                input_[3].view(batch_size, 1, 1, 1, -1)
+
+        elif n_in == 5:
+            output = input_[0].view(batch_size, -1, 1, 1, 1, 1) * \
+                input_[1].view(batch_size, 1, -1, 1, 1, 1) * \
+                input_[2].view(batch_size, 1, 1, -1, 1, 1) * \
+                input_[3].view(batch_size, 1, 1, 1, -1, 1) * \
+                input_[4].view(batch_size, 1, 1, 1, 1, -1)
+
+        elif n_in == 6:
+            output = input_[0].view(batch_size, -1, 1, 1, 1, 1, 1) * \
+                input_[1].view(batch_size, 1, -1, 1, 1, 1, 1) * \
+                input_[2].view(batch_size, 1, 1, -1, 1, 1, 1) * \
+                input_[3].view(batch_size, 1, 1, 1, -1, 1, 1) * \
+                input_[4].view(batch_size, 1, 1, 1, 1, -1, 1) * \
+                input_[5].view(batch_size, 1, 1, 1, 1, 1, -1)
+        elif n_in == 7:
+            output = input_[0].view(batch_size, -1, 1, 1, 1, 1, 1, 1) * \
+                input_[1].view(batch_size, 1, -1, 1, 1, 1, 1, 1) * \
+                input_[2].view(batch_size, 1, 1, -1, 1, 1, 1, 1) * \
+                input_[3].view(batch_size, 1, 1, 1, -1, 1, 1, 1) * \
+                input_[4].view(batch_size, 1, 1, 1, 1, -1, 1, 1) * \
+                input_[5].view(batch_size, 1, 1, 1, 1, 1, -1, 1) * \
+                input_[6].view(batch_size, 1, 1, 1, 1, 1, 1, -1)
+        elif n_in == 8:
+            output = input_[0].view(batch_size, -1, 1, 1, 1, 1, 1, 1, 1) * \
+                input_[1].view(batch_size, 1, -1, 1, 1, 1, 1, 1, 1) * \
+                input_[2].view(batch_size, 1, 1, -1, 1, 1, 1, 1, 1) * \
+                input_[3].view(batch_size, 1, 1, 1, -1, 1, 1, 1, 1) * \
+                input_[4].view(batch_size, 1, 1, 1, 1, -1, 1, 1, 1) * \
+                input_[5].view(batch_size, 1, 1, 1, 1, 1, -1, 1, 1) * \
+                input_[6].view(batch_size, 1, 1, 1, 1, 1, 1, -1, 1) * \
+                input_[7].view(batch_size, 1, 1, 1, 1, 1, 1, 1, -1)
+        else:
+            raise Exception(
+                f"Model Supports only 2,3,4,5,6,7 or 8 input variables but {n_in} were given.")
+
+        output = output.reshape(batch_size, -1)
+
+        return output
+
+
+class _ConsequenceLayer(nn.Module):
+    def __init__(self, n_input, n_rules):
+        """Consequence layer / layer 4 of the S-ANFIS network
+        """
+        super(_ConsequenceLayer, self).__init__()
+        self.n = n_input
+        self.rules = n_rules
+
+        # weights
+        self._weight = nn.Parameter(torch.Tensor(self.n, n_rules))
+        self._bias = nn.Parameter(torch.Tensor(1, n_rules))
+        self.reset_parameters()
+
+    @property
+    def coeffs(self):
+        return {'bias': self._bias,
+                'weight': self._weight}
+
+    @coeffs.setter
+    def coeffs(self, new_coeffs: dict):
+        assert type(
+            new_coeffs) is dict, f'new coeffs should be dict filled with torch parameters, but {type(new_coeffs)} was given.'
+        assert self._bias.shape == new_coeffs['bias'].shape and self._weight.shape == new_coeffs['weight'].shape, \
+            f"New coeff 'bias' should be of shape {self._bias.shape}, but is instead {new_coeffs['bias'].shape} \n" \
+            f"New coeff 'weight' should be of shape {self._weight.shape}, but is instead {new_coeffs['weight'].shape}"
+
+        # transform to torch Parameter if any coeff is of type numpy array:
+        if any(type(coeff) == np.ndarray for coeff in new_coeffs.values()):
+            new_coeffs = {key: torch.nn.Parameter(torch.from_numpy(
+                new_coeffs[key]).float()) for key in new_coeffs}
+
+        # transform to torch Parameter if any coeff is of type torch.Tensor:
+        if any(type(coeff) == torch.Tensor for coeff in new_coeffs.values()):
+            new_coeffs = {key: torch.nn.Parameter(
+                new_coeffs[key].float()) for key in new_coeffs}
+
+        self._bias = new_coeffs['bias']
+        self._weight = new_coeffs['weight']
+
+    def reset_parameters(self):
+        with torch.no_grad():
+            self._weight[:] = torch.rand(
+                self.n, self.rules) - 0.5
+
+            self._bias[:] = torch.rand(1, self.rules) - 0.5
+
+    def forward(self, input_, wnorm):
+        output = wnorm * (torch.matmul(input_, self._weight) + self._bias)
+        return output