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| 1 | +================================================================================================================================================== |
| 2 | +Cause-effect is a growing database with two-variable cause-effect pairs |
| 3 | +created at Max-Planck-Institute for Biological Cybernetics in Tuebingen, Germany. |
| 4 | +================================================================================================================================================== |
| 5 | + |
| 6 | +Some pairs are highdimensional, for machine readability the relevant information about this is coded in Meta-data. |
| 7 | + |
| 8 | +Meta-data contains the following information: |
| 9 | + |
| 10 | +number of pair | 1st column of cause | last column of cause | 1st column of effect | last column of effect | dataset weight |
| 11 | + |
| 12 | +The dataset weight should be used for calculating average performance of causal inference methods |
| 13 | +to avoid a bias introduced by having multiple copies of essentially the same data (for example, |
| 14 | +the pairs 56-63). |
| 15 | + |
| 16 | +When you use this data set in a publication, please cite the following paper (which |
| 17 | +also contains much more detailed information regarding this data set in the supplement): |
| 18 | + |
| 19 | +J. M. Mooij, J. Peters, D. Janzing, J. Zscheischler, B. Schoelkopf |
| 20 | +"Distinguishing cause from effect using observational data: methods and benchmarks" |
| 21 | +Journal of Machine Learning Research 17(32):1-102, 2016 |
| 22 | + |
| 23 | +NOTE: pair0001 - pair0041 are taken from the UCI Machine Learning Repository: |
| 24 | + |
| 25 | +Asuncion, A. & Newman, D.J. (2007). UCI Machine Learning Repository [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, School of Information and Computer Science. |
| 26 | + |
| 27 | +================================================================================================================================================== |
| 28 | +Overview over all data pairs. |
| 29 | + |
| 30 | + var 1 var 2 dataset ground truth |
| 31 | + |
| 32 | +pair0001 Altitude Temperature DWD -> |
| 33 | +pair0002 Altitude Precipitation DWD -> |
| 34 | +pair0003 Longitude Temperature DWD -> |
| 35 | +pair0004 Altitude Sunshine hours DWD -> |
| 36 | + |
| 37 | +pair0005 Age Length Abalone -> |
| 38 | +pair0006 Age Shell weight Abalone -> |
| 39 | +pair0007 Age Diameter Abalone -> |
| 40 | +pair0008 Age Height Abalone -> |
| 41 | +pair0009 Age Whole weight Abalone -> |
| 42 | +pair0010 Age Shucked weight Abalone -> |
| 43 | +pair0011 Age Viscera weight Abalone -> |
| 44 | + |
| 45 | +pair0012 Age Wage per hour census income -> |
| 46 | + |
| 47 | +pair0013 Displacement Fuel consumption auto-mpg -> |
| 48 | +pair0014 Horse power Fuel consumption auto-mpg -> |
| 49 | +pair0015 Weight Fuel consumption auto-mpg -> |
| 50 | +pair0016 Horsepower Acceleration auto-mpg -> |
| 51 | + |
| 52 | +pair0017 Age Dividends from stocks census income -> |
| 53 | + |
| 54 | +pair0018 Age Concentration GAG GAGurine (from R package MASS) -> |
| 55 | + |
| 56 | +pair0019 Current duration Next interval geyser -> |
| 57 | + |
| 58 | +pair0020 Latitude Temperature DWD -> |
| 59 | +pair0021 Longitude Precipitation DWD -> |
| 60 | + |
| 61 | +pair0022 Age Height arrhythmia -> |
| 62 | +pair0023 Age Weight arrhythmia -> |
| 63 | +pair0024 Age Heart rate arrhythmia -> |
| 64 | + |
| 65 | +pair0025 Cement Compressive strength concrete_data -> |
| 66 | +pair0026 Blast furnace slag Compressive strength concrete_data -> |
| 67 | +pair0027 Fly ash Compressive strength concrete_data -> |
| 68 | +pair0028 Water Compressive strength concrete_data -> |
| 69 | +pair0029 Superplasticizer Compressive strength concrete_data -> |
| 70 | +pair0030 Coarse aggregate Compressive strength concrete_data -> |
| 71 | +pair0031 Fine aggregate Compressive strength concrete_data -> |
| 72 | +pair0032 Age Compressive strength concrete_data -> |
| 73 | + |
| 74 | +pair0033 Alcohol consumption Mean corpuscular volume liver disorders -> |
| 75 | +pair0034 Alcohol consumption Alkaline phosphotase liver disorders -> |
| 76 | +pair0035 Alcohol consumption Alanine aminotransferase liver disorders -> |
| 77 | +pair0036 Alcohol consumption Aspartate aminotransferase liver disorders -> |
| 78 | +pair0037 Alcohol consumption Gamma-glutamyl transpeptdase liver disorders -> |
| 79 | + |
| 80 | +pair0038 Age Body mass index pima indian diabetes -> |
| 81 | +pair0039 Age Serum insulin pima indian diabetes -> |
| 82 | +pair0040 Age Diastolic blood pressure pima indian diabetes -> |
| 83 | +pair0041 Age Plasma glucose concentration pima indian diabetes -> |
| 84 | + |
| 85 | +pair0042 Day of the year Temperature B.Janzing -> |
| 86 | + |
| 87 | +pair0043 Temperature at t Temperature at t+1 ncep-ncar -> |
| 88 | +pair0044 Pressure at t Pressure at t+1 ncep-ncar -> |
| 89 | +pair0045 Sea level pressure at t Sea level pressure at t+1 ncep-ncar -> |
| 90 | +pair0046 Relative humidity at t Relative humidity at t+1 ncep-ncar -> |
| 91 | + |
| 92 | +pair0047 Number of cars Type of day traffic <- |
| 93 | + |
| 94 | +pair0048 Indoor temperature Outdoor temperature Hipel & Mcleod <- |
| 95 | + |
| 96 | +pair0049 Ozone concentration Temperature Bafu <- |
| 97 | +pair0050 Ozone concentration Temperature Bafu <- |
| 98 | +pair0051 Ozone concentration Temperature Bafu <- |
| 99 | + |
| 100 | +pair0052 (Temp, Press, SLP, Rh) (Temp, Press, Slp, Rh) ncep-ncar <- |
| 101 | + |
| 102 | +pair0053 Ozone concentration (Wind speed, Radiation, Temperature) environmental <- |
| 103 | + |
| 104 | +pair0054 (Displacement, Horsepower, Weight) (Fuel consumption, Acceleration) auto-mpg -> |
| 105 | + |
| 106 | +pair0055 Ozone concentration (16-dim.) Radiation (16-dim.) Bafu <- |
| 107 | + |
| 108 | +pair0056 Female life expectancy, 2000-2005 Latitude UNdata <- |
| 109 | +pair0057 Female life expectancy, 1995-2000 Latitude UNdata <- |
| 110 | +pair0058 Female life expectancy, 1990-1995 Latitude UNdata <- |
| 111 | +pair0059 Female life expectancy, 1985-1990 Latitude UNdata <- |
| 112 | +pair0060 Male life expectancy, 2000-2005 Latitude UNdata <- |
| 113 | +pair0061 Male life expectancy, 1995-2000 Latitude UNdata <- |
| 114 | +pair0062 Male life expectancy, 1990-1995 Latitude UNdata <- |
| 115 | +pair0063 Male life expectancy, 1985-1990 Latitude UNdata <- |
| 116 | + |
| 117 | +pair0064 Drinking water access Infant mortality UNdata -> |
| 118 | + |
| 119 | +pair0065 Stock return of Hang Seng Bank Stock return of HSBC Hldgs Yahoo database -> |
| 120 | +pair0066 Stock return of Hutchison Stock return of Cheung kong Yahoo database -> |
| 121 | +pair0067 Stock return of Cheung kong Stock return of Sun Hung Kai Prop. Yahoo database -> |
| 122 | + |
| 123 | +pair0068 Bytes sent Open http connections P. Stark & Janzing <- |
| 124 | + |
| 125 | +pair0069 Inside temperature Outside temperature J.M. Mooij <- |
| 126 | + |
| 127 | +pair0070 Parameter Answer Armann & Buelthoff -> |
| 128 | + |
| 129 | +pair0071 Symptoms (6-dim.) Classification of disease (2-dim.) Acute Inflammations -> |
| 130 | + |
| 131 | +pair0072 Sunspots Global mean temperature sunspot data -> |
| 132 | + |
| 133 | +pair0073 CO2 emissions Energy use UNdata <- |
| 134 | +pair0074 GNI per capita Life expectancy UNdata -> |
| 135 | +pair0075 Under-5 mortality rate GNI per capita UNdata <- |
| 136 | +pair0076 Population growth Food consumption growth Food and Agriculture Organization of the United Nations -> |
| 137 | + |
| 138 | +pair0077 Temperature Solar radiation B. Janzing <- |
| 139 | + |
| 140 | +pair0078 PPFD Net Ecosystem Productivity Moffat A.M. -> |
| 141 | +pair0079 Net Ecosystem Productivity Diffuse PPFDdif Moffat A.M. <- |
| 142 | +pair0080 Net Ecosystem Productivity Direct PPFDdir Moffat A.M. <- |
| 143 | + |
| 144 | +pair0081 Temperature Local CO2 flux, BE-Bra Mahecha, M. -> |
| 145 | +pair0082 Temperature Local CO2 flux, DE-Har Mahecha, M. -> |
| 146 | +pair0083 Temperature Local CO2 flux, US-PFa Mahecha, M. -> |
| 147 | + |
| 148 | +pair0084 Employment Population http://www.spatial-econometrics.com <- |
| 149 | + |
| 150 | +pair0085 Time of measurement Protein content of milk http://www.maths.lancs.ac.uk/Software/Oswald/ -> |
| 151 | + |
| 152 | +pair0086 Size of apartment Monthly rent J.M. Mooij -> |
| 153 | + |
| 154 | +pair0087 Temperature Total snow http://www.mldata.org/repository/data/viewslug/whistler-daily-snowfall/ -> |
| 155 | + |
| 156 | +pair0088 Age Relative spinal bone mineral density "bone" dataset of R ElemStatLearn package -> |
| 157 | + |
| 158 | +pair0089 root decomposition Oct (grassl) root decomposition Oct (grassl) Solly et al (2014). Plant and Soil, 382(1-2), 203-218. <- |
| 159 | +pair0090 root decomposition Oct (forest) root decomposition Oct (forest) Solly et al (2014). Plant and Soil, 382(1-2), 203-218. <- |
| 160 | +pair0091 clay cont. in soil (forest) soil moisture Solly et al (2014). Plant and Soil, 382(1-2), 203-218. -> |
| 161 | +pair0092 organic carbon in soil (forest) clay cont. in soil (forest) Solly et al (2014). Plant and Soil, 382(1-2), 203-218. <- |
| 162 | + |
| 163 | +pair0093 precipitation runoff MOPEX (ftp://hydrology.nws.noaa.gov/pub/gcip/mopex/US_Data/Us_438_Daily/) |
| 164 | + |
| 165 | +pair0094 hour of day temperature S. Armagan Tarim -> |
| 166 | +pair0095 hour of day electricity load S. Armagan Tarim -> |
| 167 | +pair0096 temperature electricity load S. Armagan Tarim -> |
| 168 | + |
| 169 | +pair0097 speed at the beginning speed at the end D. Janzing -> |
| 170 | +pair0098 speed at the beginning speed at the end D. Janzing -> |
| 171 | + |
| 172 | +pair0099 language test score social-economic status family "nlschools" dataset of R MASS package <- |
| 173 | + |
| 174 | +pair0100 cycle time of CPU performance "cpus" dataset of R MASS package -> |
| 175 | + |
| 176 | +pair0101 grey value of a pixel brightness of the screen D. Janzing -> |
| 177 | + |
| 178 | +pair0102 position of a ball time for passing a track segment D. Janzing -> |
| 179 | + |
| 180 | +pair0103 position of a ball time for passing a track segment D. Janzing -> |
| 181 | + |
| 182 | +pair0104 time for passing 1. segment time for passing 2. segment D. Janzing -> |
| 183 | + |
| 184 | +pair0105 pixel vector of a patch total brightness at the screen D. Janzing -> |
| 185 | + |
| 186 | +pair0106 time required for one round voltage D. Janzing <- |
| 187 | + |
| 188 | +pair0107 strength of contrast answer correct or not Schuett, edited by D. Janzing -> |
| 189 | + |
| 190 | +pair0108 time for 1/6 rotation temperature D. Janzing <- |
| 191 | + |
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