
Data Sets for TimeSeries Analysis
 MackeyGlass
time series

Description: The
MackeyGlass series, based on the MackeyGlass differential equation
[Mac77] is widely regarded as a benchmark for comparing the
generalization ability of different methods. This series is a chaotic
time series generated from the following timedelay ordinary
differential equation:
Following the majority of
studies, the series has been generated using the next values for the
parameters: a=0.2, b=0.1, and T = 17. As in the mentioned studies, the
task is to predict the value of the time series at point x[t+P] from
the earlier points (x[t],x[t6],x[t12], x[t18]). If the number of
sample steps P is 50, the function to be learned whose dimension is 4
is:
x(t) = f(x(t50),x(t506), x(t5012),x(t5018))
The initial 3500 samples
must be discarded in order to avoid the initialization transients. In
many studies, as [Ying97], 1000 data points form the training set,
corresponding to the sample time between 3500 and 4499 and the test set
is composed by the points corresponding to the time interval
[4500,5000].
 Download: The data file is
available here
 Venice Lagoon time series

Description: Unusually high tides, or sea surges, result from a combination of chaotic climatic elements in conjunction with the more normal, periodic, tidal systems associated with a particular area. The prediction of such events has always been subject of intense interest to mankind, not only from human point of view, but also from an economic one. The most famous example of flooding in the Venice Lagoon occurred in November 1966 when, driven by strong winds, the Venice Lagoon rose by nearly 2 m above the normal water level. The damage to the city's homes, churches and museums ran into hundred of millions of Euros
Tide's behaviour is difficult to be predicted, because depends of too much factors, like the astronomic and atmospheric agents. The problem has been approached by numerical models and statistical methods. Numerical models require the computation of the meteorological forcing functions on each point of the finite difference grid and, hence, they are computationally expensive. Linear stochastic models are suitable for online forecasting since they are simple and their computation burden is low.
Click on links to get the file which contains the level water in the Venice Lagoon measured in centimetres each hour along the years 19801989 and 19901995 (Provided by A. Tomasin, CNRISDMG Universita Ca'Foscari, Venice).
 Download: The data files are available here: 19801989 19901995
 Sunspot time series

Description: This time series contains the average number of sunspots per month measured from January of 1749 to March of 1977. These data are available at http://sidc.oma.be ('RWC Belgium World Data
Center for the Sunspot'). That chaotic time series has local
behaviours, noise and even unpredictable zones using the archived
knowledge
 Download: The data file is available here
 North Atlantic Oscillation (NAO) time series

Description: The North
Atlantic Oscillation (NAO) is a large scale oscillation in atmospheric
mass between the subtropical high presure and the polar low presure.
The corresponding index varies from year to year, but also exhibits a
tendency to remain in one phase for intervals lasting several years.
This index is traditionally defined as the normalized pressure
difference between a station on the Azores and one on Iceland
The positive phase of the NAO reflects belownormal pressure across the
high latitudes of the North Atlantic and abovenormal pressure over the
central North Atlantic, the eastern United States and western Europe.
The negative phase reflects an opposite pattern of pressure anomalies
over these regions. Both phases of the NAO are associated with
basinwide changes in the intensity and location of the North Atlantic
jet stream and storm track, and in largescale modulations of the
normal patterns of zonal and meridional heat and moisture transport
[Hur95], which in turn results in changes in temperature and
precipitation patterns often extending from eastern North America to
western and central Europe.
More information about NAO can be found at:
http://www.cpc.ncep.noaa.gov/data/teledoc/nao.html
 Download: A time series with the normalized NAO index over each month from 1950 till 2005 is available here: NAO index (19502005)
 Winter NAO Index

Description: The NAO index over the winter months has a bigger influence over the North Atlantic climate. That is why these winter index time series is widely used.
Winter (December through March) index of the NAO based on the difference of normalized sea level pressure (SLP) between Lisbon, Portugal and Stykkisholmur/Reykjavik, Iceland since 1864, is available here. The SLP anomalies at each station were normalized by division of each seasonal mean pressure by the longterm mean (18641983) standard deviation. Normalization is used to avoid the series being dominated by the greater variability of the northern station. Positive values of the index indicate strongerthanaverage westerlies over the middle latitudes.
The source of this information and aditional NAO indexes are found at
http://www.cgd.ucar.edu/cas/jhurrell/indices.html
 Download: The data file is available here: Winter NAO index (18642004)
 Exchange Rates: US Dollars / Euro (ECU)

Description: This is a time series provided by the Spanish Central Bank (Banco de España) that shows the mean value of the US Dollars per Euro (or ECU) rate, taken each month since January 1979 till July 2005. This and many others financial time series are available at
http://www.bde.es/infoest/htmls/downld.htm
 Download: The data file is available here: Dollar / Euro (19792005)
 Exchange Rates: US Dollars / United Kingdom Pound

Description: This is a time series provided by the Spanish Central Bank (Banco de España) that shows the mean value of the US Dollars per British Pound rate, taken each month since January 1981 till July 2005. This and many others financial time series are available at
http://www.bde.es/infoest/htmls/downld.htm
 Download: The data file is available here: Dollar / UK Pound (19812005)
 Interest Rates: Mean Interest Rates for non transferable 3months deposits

Description: This is a time series provided by the Spanish Central Bank (Banco de España) that shows the mean interest Rates for non transferable 3months deposits, taken each month since January 1977 till July 2005. This and many others financial time series are available at
http://www.bde.es/infoest/htmls/downld.htm
 Download: The data file is available here: Interest Rates (19772005)
 Consumer Price Index (CPI) of Spain

Description: This is a time series provided by the Spanish Central Bank (Banco de España) that shows the Consumer Price Index (CPI) per month in Spain, since January 1960 till June 2005. The base index is 100 (CPI of OECD in June 2000). This and many others financial time series are available at
http://www.bde.es/infoest/htmls/downld.htm
 Download: The data file is available here: CPI Spain (19602005)
 Consumer Price Index (CPI) of Organisation for Economic Cooperation and Development (OECD)
 IBEX 35 Stock Exchange Index
 Time Series Prediction Competition: The CATS Benchmark

Description: The goal of this competition is to provide a new benchmark for the problem of time series prediction and to compare the different methods or models that can be used for the prediction.
The proposed time series is the CATS benchmark (for Competition on Artificial Time Series).
This artificial Time Series with 5,000 data is given. Within those 100 values are missing.
These missing values are divided in 5 blocks:
 Elements 981 to 1,000;
 Elements 1,981 to 2,000;
 Elements 2,981 to 3,000;
 Elements 3,981 to 4,000;
 Elements 4,981 to 5,000;
These 100 missing values have to be predicted.
More detailed information is available at
http://www.cis.hut.fi/~lendasse/competition/competition.html
 Download: The data file is available here: Time Series Prediction Competition
 Australia monthly production of electricity
 Spanish Electric Energy Demand (monthly organized)
 Spanish Electric Energy Demand time series

Description:The former data have been arranged and the whole time series of the Spanish electricenergy demand, in GWh, for each month from January 1959 till September 2000 is available. This data have been obtained from Red Eléctrica Española:
www.ree.es
 Download: The data file is available here: Spanish Electric Energy Demand time series





2005, University CARLOS III
of Madrid 





