Added the tamanini data for tamanini_data.py

data_tamanini/blue_dashed.csv

+0.025040162214934467, 11.093666993419603
+0.03946863705761858, 13.188649719819239
+0.06245550128386891, 15.321766802292611
+0.09921854293958149, 18.21520472572822
+0.15700425193047007, 21.161311050988417
+0.24844484099365563, 24.86906356504385
+0.39623762053907763, 29.226465274858484
+0.6294740824998898, 35.556433873828425
+1, 40.833665229281166
+1.5762133135894258, 57.05062861266863
+2.504016221493442, 108.82480053198006
+3.9623762053907723, 2338.5585465427553
+6.2210991199447285, 4067.699994427719
+9.921854293958143, 26043.108564769955

data_tamanini/blue_solid.csv

+0.025138578460344785, 1.1308952257139362
+0.0396237620539078, 1.3290436110465302
+0.06270097237502309, 1.561910316624156
+0.1003930335776804, 1.835578469284381
+0.15700425193047007, 2.108012209064781
+0.24942131264077524, 2.4773649183079263
+0.39935843522754055, 2.9452027138648065
+0.6270097237502306, 3.666686585094483
+0.9960850512861913, 4.114880828704941
+1.5824083611676993, 5.81577611445484
+2.484448409936555, 11.093666993419603
+3.9468637057618516, 243.95638371769763
+6.270097237502306, 409.90933902233144
+9.960850512861903, 2654.850479658169

data_tamanini/green_dashed.csv

+0.02494213126407755, 6451.828352204584
+0.0396237620539078, 4835.864500317137
+0.06294740824998901, 3501.3893034705716
+0.09960850512861918, 2594.3189759960687
+0.15762133135894266, 1900.194237230286
+0.2504016221493444, 1407.9296931759604
+0.39623762053907763, 1043.1912601818515
+0.6294740824998898, 809.4318709389443
+0.9960850512861913, 729.6341880633984
+1.5762133135894258, 487.31863796298467
+2.49421312640775, 657.7033441658132
+3.9468637057618516, 7324.443350304359
+6.270097237502306, 9885.340946089855
+9.921854293958143, 27588.91096287813

data_tamanini/green_solid.csv

+0.025040162214934467, 650.162179846254
+0.0396237620539078, 481.7310885648235
+0.06294740824998901, 352.8412068273509
+0.09960850512861918, 261.4341220150028
+0.15824083611677003, 191.48594165354478
+0.25138578460344774, 140.25279320210788
+0.39623762053907763, 105.12423249521792
+0.6270097237502306, 82.51398197985615
+0.9960850512861913, 307.24097305676395
+1.5824083611676993, 49.67756120682683
+2.49421312640775, 66.27793186545338
+3.9623762053907723, 772.9420088193226
+6.294740824998888, 1007.7177264396589
+9.960850512861903, 2716.794324273517

data_tamanini/red_dashed.csv

+0.025040162214934467, 3267.309813573191
+0.0397794967435198, 2420.880146463368
+0.06270097237502309, 1793.7266491209098
+0.09960850512861918, 1313.8049227417396
+0.15762133135894266, 962.2889729972887
+0.24942131264077524, 704.8231069341209
+0.39623762053907763, 522.2315494101888
+0.6270097237502306, 386.94218239479216
+0.9960850512861913, 746.6582529279718
+1.5824083611676993, 217.38456999430767
+2.504016221493442, 164.82701005216086
+3.9623762053907723, 5006.095903441058
+6.270097237502306, 7324.443350304359
+9.960850512861903, 52626.19896466969

data_tamanini/red_solid.csv

+0.02494213126407755, 329.25260169079655
+0.0396237620539078, 241.1592029024567
+0.06270097237502309, 176.63569200636022
+0.09960850512861918, 129.37581197423967
+0.15762133135894266, 94.76058057049488
+0.24942131264077524, 71.02627388617904
+0.3977949674351978, 52.02279194625208
+0.6270097237502306, 38.99284963064802
+0.9960850512861913, 721.2682714930145
+1.5824083611676993, 22.160316556848443
+2.49421312640775, 16.609909982561035
+3.977949674351976, 522.2315494101888
+6.270097237502306, 738.0971400404794
+9.960850512861903, 5242.428962312059