时间序列数据集介绍

UCR单变量时间序列数据集（包含128个数据集，如传感器数据、图像数据等）、UEA多变量时间序列数据（包含30个数据集，如面部检测、轨迹数据等），目前是时间序列挖掘领域重要的开源数据集资源。详细的数据集介绍可以阅读这两篇论文The UCR Time Series Archive和The UEA multivariate time series classi cation archive, 2018，以及访问时间序列分类数据集网站（国内IP无法访问）

UCR数据集

每个数据集的介绍可以访问该网站时间序列UCR数据集，如图所示：

点击表格中的数据集即可查看数据集的信息，如下图所示：

ID Type Name Train  Test  Class Length ED (w=0) DTW (learned_w)  DTW (w=100) Default rate Data donor/editor
86 Device ACSF1 100 100 10 1460 0.46 0.3800 (4) 0.36 0.9 P. Schafer
1 Image Adiac 390 391 37 176 0.3887 0.3913 (3) 0.3964 0.9591 A. Jalba
87 Sensor AllGestureWiimoteX 300 700 10 Vary 0.4843  0.2829 (14) 0.2843 0.9 J. Guna
88 Sensor AllGestureWiimoteY 300 700 10 Vary 0.4314  0.2700 (9) 0.2714 0.9 J. Guna
89 Sensor AllGestureWiimoteZ 300 700 10 Vary 0.5457 0.3486 (11) 0.3571 0.9 J. Guna
2 Image ArrowHead 36 175 3 251 0.2 0.2000 (0) 0.2971 0.6057 L. Ye & E. Keogh
3 Spectro Beef 30 30 5 470 0.3333 0.3333 (0) 0.3667 0.8 K. Kemsley &  A. Bagnall
4 Image BeetleFly 20 20 2 512 0.25 0.3000 (7) 0.3 0.5 J. Hills & A. Bagnall
5 Image BirdChicken 20 20 2 512 0.45 0.3000 (6) 0.25 0.5 J. Hills & A. Bagnall
90 Simulated BME 30 150 3 128 0.1667 0.0200 (4) 0.1 0.6667 Joseph Fourier University
6 Sensor Car 60 60 4 577 0.2667 0.2333 (1) 0.2667 0.6833 J. Gao
7 Simulated CBF 30 900 3 128 0.1478 0.0044 (11) 0.0033 0.6644 N. Saito
91 Traffic Chinatown 20 343 2 24 0.0466 0.0466 (0) 0.0437 0.2741 H.A. Dau
8 Sensor ChlorineConcentration 467 3840 3 166 0.35 0.3500 (0) 0.3516 0.4674 L. Li & C. Faloutsos
9 Sensor CinCECGTorso 40 1380 4 1639 0.1029 0.0696 (1) 0.3493 0.7464 physionet.org 
10 Spectro Coffee 28 28 2 286 0 0.0000 (0) 0 0.4643 K, Kemsley & A. Bagnall
11 Device Computers 250 250 2 720 0.424 0.3800 (12) 0.3 0.5 J. Lines & A. Bagnall
12 Motion CricketX 390 390 12 300 0.4231 0.2282 (10) 0.2462 0.8974 A. Mueen & E. Keogh
13 Motion CricketY 390 390 12 300 0.4333 0.2410 (17) 0.2564 0.9051 A. Mueen & E. Keogh
14 Motion CricketZ 390 390 12 300 0.4128 0.2538 (5) 0.2462 0.8974 A. Mueen & E. Keogh
92 Image Crop 7200 16800 24 46 0.2883 0.2883 (0) 0.3348 0.9583 F. Petitjean
15 Image DiatomSizeReduction 16 306 4 345 0.0654 0.0654 (0) 0.0327 0.6928 ADIAC project
16 Image DistalPhalanxOutlineAgeGroup 400 139 3 80 0.3741 0.3741 (0) 0.2302 0.5324 L. Davis & A. Bagnall
17 Image DistalPhalanxOutlineCorrect 600 276 2 80 0.2826 0.2754 (1) 0.2826 0.4167 L. Davis & A. Bagnall
18 Image DistalPhalanxTW 400 139 6 80 0.3669 0.3669 (0) 0.4101 0.6978 L. Davis & A. Bagnall
93 Sensor DodgerLoopDay 78 80 7 288 0.45  0.4125 (1) 0.5 0.8375 C.-C. M. Yeh
94 Sensor DodgerLoopGame 20 138 2 288 0.1159  0.0725 (1) 0.1232 0.4783 C.-C. M. Yeh
95 Sensor DodgerLoopWeekend 20 138 2 288 0.0145  0.0217 (1) 0.0507 0.2609 C.-C. M. Yeh
19 Sensor Earthquakes 322 139 2 512 0.2878 0.2734 (6) 0.2806 0.2518 A. Bagnall
20 ECG ECG200 100 100 2 96 0.12 0.1200 (0) 0.23 0.36 R. Olszewski
21 ECG ECG5000 500 4500 5 140 0.0751 0.0749 (1) 0.0756 0.4162 Y. Chen & E. Keogh
22 ECG ECGFiveDays 23 861 2 136 0.2033 0.2033 (0) 0.2323 0.4971 physionet.org, Y. Chen & E. Keogh
23 Device ElectricDevices 8926 7711 7 96 0.4492 0.3806 (14) 0.3988 0.7463 A. Bagnall & J. Lines
96 EOG EOGHorizontalSignal 362 362 12 1250 0.5829  0.5249 (1) 0.4972 0.9144 E. Keogh & H. A. Dau
97 EOG EOGVerticalSignal 362 362 12 1250 0.558  0.5249 (2) 0.5525 0.9144 E. Keogh & H. A. Dau
98 Spectro EthanolLevel 504 500 4 1751 0.726 0.7180 (1) 0.724 0.748 A. Bagnall
24 Image FaceAll 560 1690 14 131 0.2864 0.1917 (3) 0.1923 0.8302 X. Xi & E. Keogh
25 Image FaceFour 24 88 4 350 0.2159 ?0.1136 (2) 0.1705 0.7045 A. Ratanamahatana & E. Keogh
26 Image FacesUCR 200 2050 14 131 0.2307 0.0878 (12) 0.0951 0.8566 X. Xi & E. Keogh
27 Image FiftyWords 450 455 50 270 0.3692 ?0.2418 (6) 0.3099 0.8747 T. Rath & R. Manmatha
28 Image Fish 175 175 7 463 0.2171 0.1543 (4) 0.1771 0.8343 D. Lee
29 Sensor FordA 3601 1320 2 500 0.3348 0.3091 (1) 0.4455 0.4841 A. Bagnall
30 Sensor FordB 3636 810 2 500 0.3938 0.3926 (1) 0.3802 0.4951 A. Bagnall
99 Sensor FreezerRegularTrain 150 2850 2 301 0.1951 0.0930 (1) 0.1011 0.5 REFIT project
100 Sensor FreezerSmallTrain 28 2850 2 301 0.3242 0.3242 (0) 0.2411 0.5 REFIT project
101 HRM Fungi 18 186 18 201 0.1774 0.1774 (0) 0.1613 0.8978 W. Fonzi
102 Trajectory GestureMidAirD1 208 130 26 Vary 0.4231  0.3615 (5) 0.4308 0.9615 H. A. Dau
103 Trajectory GestureMidAirD2 208 130 26 Vary 0.5077  0.4000 (6) 0.3923 0.9615 H. A. Dau
104 Trajectory GestureMidAirD3 208 130 26 Vary 0.6538  0.6231 (1) 0.6769 0.9615 H. A. Dau
105 Sensor GesturePebbleZ1 132 172 6 Vary 0.2674 0.1744 (2) 0.2093 0.814 I.?Maglogiannis
106 Sensor GesturePebbleZ2 146 158 6 Vary 0.3291 0.2215 (6) 0.3291 0.8101 I.?Maglogiannis
31 Motion GunPoint 50 150 2 150 0.0867 ?0.0867 (0)  0.0933 0.4933 A. Ratanamahatana & E. Keogh
107 Motion GunPointAgeSpan 135 316 2 150 0.1013 0.0348 (3) 0.0823 0.4937 A. Ratanamahatana & E. Keogh
108 Motion GunPointMaleVersusFemale 135 316 2 150 0.0253 0.0253 (0) 0.0032 0.4747 A. Ratanamahatana & E. Keogh
109 Motion GunPointOldVersusYoung 136 315 2 150 0.0476 0.0349 (4) 0.1619 0.4762 A. Ratanamahatana & E. Keogh
32 Spectro Ham 109 105 2 431 0.4 0.4000 (0) 0.5333 0.4857 K. Kemsley & A. Bagnall
33 Image HandOutlines 1000 370 2 2709 0.1378 0.1378 (0) 0.1189 0.3595 L. Davis & A. Bagnall
34 Motion Haptics 155 308 5 1092 0.6299 0.5877 (2) 0.6234 0.7825 J. Brady
35 Image Herring 64 64 2 512 0.4844 0.4688 (5) 0.4688 0.4063 J. Maap & A. Bagnall
110 Device HouseTwenty 40 119 2 2000 0.3361  0.0588 (33) 0.0756 0.4202 E. Keogh & S. Gharghabi
36 Motion InlineSkate 100 550 7 1882 0.6582 0.6127 (14) 0.6164 0.8164 F. Morchen & O. Hoos
111 EPG InsectEPGRegularTrain 62 249 3 601 0.3213 0.1727 (11) 0.1285 0.5261 E. Keogh & S. Gharghabi
112 EPG InsectEPGSmallTrain 17 249 3 601 0.3373 0.3052 (1) 0.2651 0.5261 E. Keogh & S. Gharghabi
37 Sensor InsectWingbeatSound 220 1980 11 256 0.4384 0.4152 (1) 0.6449 0.9091 Y. Chen & E. Keogh
38 Sensor ItalyPowerDemand 67 1029 2 24 0.0447 0.0447 (0) 0.0496 0.4985 JJ van Wijk, E. Keogh & L. Wi
39 Device LargeKitchenAppliances 375 375 3 720 0.5067 0.2053 (94) 0.2053 0.6667 J. Lines & A. Bagnall
40 Sensor Lightning2 60 61 2 637 0.2459 0.1311 (6) 0.1311 0.459 D. Eads
41 Sensor Lightning7 70 73 7 319 0.4247 0.2877 (5) 0.274 0.7397 D. Eads
42 Simulated Mallat 55 2345 8 1024 0.0857 0.0857 (0) 0.0661 0.8729 M. Jeong & S. Mallat
43 Spectro Meat 60 60 3 448 0.0667 0.0667 (0) 0.0667 0.6667 K. Kemlsey & A. Bagnall
44 Image MedicalImages 381 760 10 99 0.3158 0.2526 (20) 0.2632 0.4855 J. Felipe & C. Traina
113 Traffic MelbournePedestrian 1194 2439 10 24 0.1525 0.1845 (1) 0.2091 0.8995 H.A. Dau
45 Image MiddlePhalanxOutlineAgeGroup 400 154 3 80 0.4805 0.4805 (0) 0.5 0.4286 L. Davis & A. Bagnall
46 Image MiddlePhalanxOutlineCorrect 600 291 2 80 0.2337 0.2337 (0) 0.3024 0.4296 L. Davis & A. Bagnall
47 Image MiddlePhalanxTW 399 154 6 80 0.487 0.4935 (3) 0.4935 0.7143 L. Davis & A. Bagnall
114 Image MixedShapesRegularTrain 500 2425 5 1024 0.1027  0.0911 (4) 0.1584 0.7303 E. Keogh
115 Image MixedShapesSmallTrain 100 2425 5 1024 0.1645  0.1674 (7) 0.2202 0.7303 E. Keogh
48 Sensor MoteStrain 20 1252 2 84 0.1214 0.1342 (1) 0.1653 0.4609 C. Guestrin & J. Sun
49 ECG NonInvasiveFetalECGThorax1 1800 1965 42 750 0.171 0.1893 (1) 0.2097 0.9705 physionet.org, B. Hu & E. Keogh
50 ECG NonInvasiveFetalECGThorax2 1800 1965 42 750 0.1201 0.1290 (1) 0.1354 0.9705 physionet.org, B. Hu & E. Keogh
51 Spectro OliveOil 30 30 4 570 0.1333 0.1333 (0) 0.1667 0.6 K. Kemsley & A. Bagnall
52 Image OSULeaf 200 242 6 427 0.4793 0.3884 (7) 0.4091 0.7727 A. Gandhi
53 Image PhalangesOutlinesCorrect 1800 858 2 80 0.2389 0.2389 (0) 0.2716 0.3869 A. Bagnall
54 Sensor Phoneme 214 1896 39 1024 0.8908 0.7727 (14) 0.7716 0.8871 H. Hamooni & A. Mueen
116 Sensor PickupGestureWiimoteZ 50 50 10 Vary 0.44 0.3400 (17) 0.34 0.9 J. Guna
117 Hemodynamics PigAirwayPressure 104 208 52 2000 0.9423 0.9038 (1) 0.8942 0.9808 M. Guillame-Bert
118 Hemodynamics PigArtPressure 104 208 52 2000 0.875 0.8029 (1) 0.7548 0.9808 M. Guillame-Bert
119 Hemodynamics PigCVP 104 208 52 2000 0.9183 0.8413 (11) 0.8462 0.9808 M. Guillame-Bert
120 Device PLAID 537 537 11 Vary 0.4767 0.1657 (12) 0.1639 0.838 P. Schafer
55 Sensor Plane 105 105 7 144 0.0381 0.0000 (5) 0 0.8 J. Gao
121 Power PowerCons 180 180 2 144 0.0667 0.0778 (3) 0.1222 0.5 EDF R&D, France
56 Image ProximalPhalanxOutlineAgeGroup 400 205 3 80 0.2146 0.2146 (0) 0.1951 0.5122 L. Davis & A. Bagnall
57 Image ProximalPhalanxOutlineCorrect 600 291 2 80 0.1924 0.2096 (1) 0.2165 0.3162 L. Davis & A. Bagnall
58 Image ProximalPhalanxTW 400 205 6 80 0.2927 0.2439 (2) 0.2439 0.6488 L. Davis & A. Bagnall
59 Device RefrigerationDevices 375 375 3 720 0.6053 0.5600 (8) 0.536 0.6667 J. Lines & A. Bagnall
122 Spectrum Rock 20 50 4 2844 0.16  0.1600 (0) 0.4 0.58 Y. Zhu
60 Device ScreenType 375 375 3 720 0.64 0.5893 (17) 0.6027 0.6667 J. Lines & A. Bagnall
123 Spectrum SemgHandGenderCh2 300 600 2 1500 0.2383 0.1550 (1) 0.1983 0.35 C.-C. M. Yeh
124 Spectrum SemgHandMovementCh2 450 450 6 1500 0.6311 0.3622 (1) 0.4156 0.8333 C.-C. M. Yeh
125 Spectrum SemgHandSubjectCh2 450 450 5 1500 0.5956 0.2000 (3) 0.2733 0.8 C.-C. M. Yeh
126 Sensor ShakeGestureWiimoteZ 50 50 10 Vary 0.4 0.1600 (6) 0.14 0.9 J. Guna
61 Simulated ShapeletSim 20 180 2 500 0.4611 0.3000 (3) 0.35 0.5 J. Hills & A. Bagnall
62 Image ShapesAll 600 600 60 512 0.2483 0.1980 (4) 0.2317 0.9833 J. Hills & A. Bagnall
63 Device SmallKitchenAppliances 375 375 3 720 0.6587 0.3280 (15) 0.3573 0.6667 J. Lines & A. Bagnall
127 Simulated SmoothSubspace 150 150 3 15 0.0933 0.0533 (1) 0.1733 0.6667 X. Huang
64 Sensor SonyAIBORobotSurface1 20 601 2 70 0.3045 0.3045 (0) 0.2745 0.4293 D. Vail, M. Velso & E. Keogh
65 Sensor SonyAIBORobotSurface2 27 953 2 65 0.1406 0.1406 (0) 0.1689 0.383 D. Vail, M. Velso & E. Keogh
66 Sensor StarLightCurves 1000 8236 3 1024 0.1512 0.0947 (16) 0.0934 0.4228 P. Protopapas, E. Keogh & L. Wei
67 Spectro Strawberry 613 370 2 235 0.0541 0.0541 (0) 0.0595 0.3568 K. Kemsley & A. Bagnall
68 Image SwedishLeaf 500 625 15 128 0.2112 0.1536 (2) 0.208 0.9216 O. Soderkvist
69 Image Symbols 25 995 6 398 0.1005 0.0623 (8) 0.0503 0.8211 E. Keogh & J. Brady
70 Simulated SyntheticControl 300 300 6 60 0.12 0.0167 (6) 0.0067 0.8333 R. Alcock & Y. Manolopoulos
71 Motion ToeSegmentation1 40 228 2 277 0.3202 0.2500 (8) 0.2281 0.4737 A. Bagnall, L. Ye & E. Keogh
72 Motion ToeSegmentation2 36 130 2 343 0.1923 0.0923 (5) 0.1615 0.1846 A. Bagnall, L. Ye & E. Keogh
73 Sensor Trace 100 100 4 275 0.24 0.0100 (3) 0 0.71 D. Roverso
74 ECG TwoLeadECG 23 1139 2 82 0.2529 0.1317 (4) 0.0957 0.4996 physionet.org & E. Keogh
75 Simulated TwoPatterns 1000 4000 4 128 0.0932 0.0015 (4) 0 0.7412 P. Geurts
128 Simulated UMD 36 144 3 150 0.2361 0.0278 (6) 0.0069 0.6667 Joseph Fourier University
76 Motion UWaveGestureLibraryAll 896 3582 8 945 0.0519 0.0343 (4) 0.1083 0.8716 A. Bagnall & J. Liu
77 Motion UWaveGestureLibraryX 896 3582 8 315 0.2607 0.2267 (4) 0.2725 0.8716 J. Liu
78 Motion UWaveGestureLibraryY 896 3582 8 315 0.3384 0.3009 (4) 0.366 0.8716 J. Liu
79 Motion UWaveGestureLibraryZ 896 3582 8 315 0.3504 0.3222 (6) 0.3417 0.8716 J. Liu
80 Sensor Wafer 1000 6164 2 152 0.0045 0.0045 (1) 0.0201 0.1079 R. Olszewski
81 Spectro Wine 57 54 2 234 0.3889 0.3889 (0) 0.4259 0.5 K. Kemsley & A. Bagnall
82 Image WordSynonyms 267 638 25 270 0.3824 0.2618 (9) 0.3511 0.7806 T. Rath & R. Manmatha
83 Motion Worms 181 77 5 900 0.5455 0.4675 (9) 0.4156 0.5714 A. Bagnall
84 Motion WormsTwoClass 181 77 2 900 0.3896 0.4156 (7) 0.3766 0.4286 A. Bagnall
85 Image Yoga 300 3000 2 426 0.1697 0.1560 (7) 0.1637 0.4643 L. Wei & E. Keogh

UEA数据集

# python # 数据结构
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