This collection of cause-effect pair datasets was created by the Max-Planck-Institute for Biological Cybernetics in Tuebingen, Germany (https://webdav.tuebingen.mpg.de/cause-effect/). Task: Identify for each pair the causal direction using the observed samples only. Summary: Size of collection: 83 datasets with 2 columns each of various sizes Task: Causal Discovery Data Type: Mixed Dataset Scope: Collection Ground Truth: Known Temporal Structure: Static License: TBD Missing Values: No Missingness Statement: There are no missing values. Collection: The database contains the following datasets. Number of dataset Variable 1 Variable 2 Origin of datasets 001 Altitude Temperature DWD dataset 002 Altitude Precipitation DWD dataset 003 Longitude Temperature DWD dataset 004 Altitude Sunshine hours DWD dataset 005 Age Length Abalone dataset 006 Age Shell weight Abalone dataset 007 Age Diameter Abalone dataset 008 Age Height Abalone dataset 009 Age Whole weight Abalone dataset 010 Age Shucked weight Abalone dataset 011 Age Viscera weight Abalone dataset 012 Age Wage per hour Census income dataset 013 Displacement Fuel consumption Auto mpg dataset 014 Horse power Fuel consumption Auto mpg dataset 015 Weight Fuel consumption Auto mpg dataset 016 Horsepower Acceleration Auto mpg dataset 017 Age Dividends from stocks Census income dataset 018 Age Concentration GA R packages MASS 019 Current duration Next interval geyser 020 Latitude Temperature DWD dataset 021 Longitude Precipitation DWD 022 Age Height arrhythmia 023 Age Weight arrhythmia 024 Age Heart rate arrhythmia 025 Cement Compressive strength concrete_data 026 Blast furnace slag Compressive strength concrete_data 027 Fly ash Compressive strength concrete_data 028 Water Compressive strength concrete_data 029 Superplasticizer Compressive strength concrete_data 030 Coarse aggregate Compressive strength concrete_data 031 Fine aggregate Compressive strength concrete_data 032 Age Compressive strength 033 Alcohol consumption Mean corpuscular volume liver disorders 034 Alcohol consumption Alkaline phosphotase liver disorders 035 Alcohol consumption Alanine aminotransferase liver disorders 036 Alcohol consumption Aspartate aminotransferase liver disorders 037 Alcohol consumption Gamma-glutamyl transpeptdase liver disorders 038 Age Body mass index pima indian diabetes 039 Age Serum insulin pima indian diabetes 040 Age Diastolic blood pressure pima indian diabetes 041 Age Plasma glucose concentration pima indian diabetes 042 Day of the year Temperature B.Janzing 049 Ozone concentration Temperature Bafu 050 Ozone concentration Temperature Bafu 051 Ozone concentration Temperature Bafu 056 Female life expectancy, 2000-2005 Latitude UNdata 057 Female life expectancy, 1995-2000 Latitude UNdata 058 Female life expectancy, 1990-1995 Latitude UNdata 059 Female life expectancy, 1985-1990 Latitude UNdata 060 Male life expectancy, 2000-2005 Latitude UNdata 061 Male life expectancy, 1995-2000 Latitude UNdata 062 Male life expectancy, 1990-1995 Latitude UNdata 068 Bytes sent Open http connections P. Stark & Janzing 072 Sunspots Global mean temperature sunspot data 076 Population growth Food consumption growth Food and Agriculture Organization of the United Nations 078 PPFD Net Ecosystem Productivity Moffat A.M. 079 Net Ecosystem Productivity Diffuse PPFDdif Moffat A.M. 080 Net Ecosystem Productivity Direct PPFDdir Moffat A.M. 086 Size of apartment Monthly rent J.M. Mooij 088 Age Relative spinal bone mineral density “bone” dataset of R ElemStatLearn package 089 Mass loss Oct 2012 in % Mass loss APRIL 2012 in % Solly et al (2014). Plant and Soil, 382(1-2), 203-218 090 root decomposition Oct (forest) root decomposition Apr Solly et al (2014). Plant and Soil, 382(1-2), 203-218. 091 clay cont. in soil (forest) soil moisture Solly et al (2014). Plant and Soil, 382(1-2), 203-218. 092 organic carbon in soil (forest) clay cont. in soil (forest) Solly et al (2014). Plant and Soil, 382(1-2), 203-218. 093 precipitation runoff MOPEX (ftp://hydrology.nws.noaa.gov/pub/gcip/mopex/US_Data/Us_438_Daily/) 094 hour of day temperature S. Armagan Tarim 095 hour of day electricity load S. Armagan Tarim 096 temperature electricity load S. Armagan Tarim 097 speed at the beginning speed at the end The data has been recorded by Dominik Janzing using a ball track that has been equipped with two pairs of light barriers. The first pair measures the initial speed and the second pair the speed of a ball at some later position of the track. The units of the speeds are arbitrary and differ for both measurements (X and Y) since they are obtained by inverting the time the ball needed to pass the distance between two light barriers of one pair. 098 speed at the beginning speed at the end D. Janzing 099 language test score social-economic status family “nlschools” dataset of R MASS package 100 cycle time of CPU performance “cpus” dataset of R MASS package 101 grey value of a pixel brightness of the screen D. Janzing 102 position of a ball time for passing a track segment D. Janzing 103 position of a ball time for passing a track segment D. Janzing 106 time required for one round voltage D. Janzing 107 strength of contrast answer correct or not The data set is from a psychophysics experiments with human subjects. A screen shows tilted Gabor patches (which are patterns of stripes frequently used as stimuli in psychological experiments), either tilted to the left or to the right. The subject are asked to infer the direction, while the patches are shown with stronger or weaker contrast. The variable X describes the contrast values ranging from 0.0150 to 0.0500 in steps of 0.0025. The variable Y is a binary indicating whether the direction has been identified correctly (Y=1) or not (Y=0). For low values of the contrast the fraction of correct decisions approaches chance level (50%). 108 time for 1/6 rotation temperature This pair shows the dependence of the inverse velocity and the temperature of the heat bath of a Striling engine. The engine is driven by a cup of hot water that is put underneath.The inverse velocity is measured by the time needed for the engine’s wheel for 1/6 rotation (because the wheel has 6 radius arms). The temperature is measured by a sensor that was put into the cup. Recorded by D. Janzing Files More information about the dataset is contained in causal_description.html file.