kdd_el_nino-small.arff

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Description

El Nino Data.
The data set contains oceanographic and surface meteorological readings taken from a series of buoys positioned throughout the equatorial Pacific. The data is expected to aid in the understanding and prediction of El Nino/Southern Oscillation (ENSO) cycles.
File contents

%                                  El Nino Data
% 
% Data Type
% 
%    spatio-temporal
% 
% Abstract
% 
%    The data set contains oceanographic and surface meteorological
%    readings taken from a series of buoys positioned throughout the
%    equatorial Pacific. The data is expected to aid in the understanding
%    and prediction of El Nino/Southern Oscillation (ENSO) cycles.
% 
% Sources
% 
%     Original Owner
% 
% [1]Pacific Marine Environmental Laboratory
% National Oceanic and Atmospheric Administration
% US Department of Commerce
% 
%     Donor
% 
% [2]Dr Di Cook
% Department of Statistics
% Iowa State University
% [3]dicook@iastate.edu
% 
%    Date Donated: June 30, 1999
% 
% Data Characteristics
% 
%    This data was collected with the Tropical Atmosphere Ocean (TAO) array
%    which was developed by the international Tropical Ocean Global
%    Atmosphere (TOGA) program. The TAO array consists of nearly 70 moored
%    buoys spanning the equatorial Pacific, measuring oceanographic and
%    surface meteorological variables critical for improved detection,
%    understanding and prediction of seasonal-to-interannual climate
%    variations originating in the tropics, most notably those related to
%    the El Nino/Southern Oscillation (ENSO) cycles.
% 
%    The moorings were developed by National Oceanic and Atmospheric
%    Administration's (NOAA) Pacific Marine Environmental Laboratory
%    (PMEL). Each mooring measures air temperature, relative humidity,
%    surface winds, sea surface temperatures and subsurface temperatures
%    down to a depth of 500 meters and a few a of the buoys measure
%    currents, rainfall and solar radiation. The data from the array, and
%    current updates, can be viewed on the web at the this address .
% 
%    The data consists of the following variables: date, latitude,
%    longitude, zonal winds (west<0, east>0), meridional winds (south<0,
%    north>0), relative humidity, air temperature, sea surface temperature
%    and subsurface temperatures down to a depth of 500 meters. Data taken
%    from the buoys from as early as 1980 for some locations. Other data
%    that was taken in various locations are rainfall, solar radiation,
%    current levels, and subsurface temperatures.
% 
%     Variable Characteristics
% 
%    The latitude and longitude in the data showed that the bouys moved
%    around to different locations. The latitude values stayed within a
%    degree from the approximate location. Yet the longitude values were
%    sometimes as far as five degrees off of the approximate location.
% 
%    Looking at the wind data, both the zonal and meridional winds
%    fluctuated between -10 m/s and 10 m/s. The plot of the two wind
%    variables showed no linear relationship. Also, the plots of each wind
%    variable against the other three meteorolgical data showed no linear
%    relationships.
% 
%    The relative humidity values in the tropical Pacific were typically
%    between 70% and 90%.
% 
%    Both the air temperature and the sea surface temperature fluctuated
%    between 20 and 30 degrees Celcius. The plot of the two temperatures
%    variables shows a positive linear relationship existing. The two
%    temperatures when each plotted against time also have similar plot
%    designs. Plots of the other meteorological variables against the
%    temperature variables showed no linear relationship.
% 
%    There are missing values in the data. As mentioned earlier, not all
%    buoys are able to measure currents, rainfall, and solar radiation, so
%    these values are missing dependent on the individual buoy. The amount
%    of data available is also dependent on the buoy, as certain buoys were
%    commissioned earlier than others.
% 
%    All readings were taken at the same time of day.
% 
% Other Relevant Information
% 
%     Background
% 
%    The El Nino/Southern Oscillation (ENSO) cycle of 1982-1983, the
%    strongest of the century, created many problems throughout the world.
%    Parts of the world such as Peru and the Unites States experienced
%    destructive flooding from increased rainfalls while the western
%    Pacific areas experienced drought and devastating brush fires. The
%    ENSO cycle was neither predicted nor detected until it was near its
%    peak. This highlighted the need for an ocean observing system (i.e.
%    the TAO array) to support studies of large scale ocean-atmosphere
%    interactions on seasonal-to-interannual time scales.
% 
%    The TAO array provides real-time data to climate researchers, weather
%    prediction centers and scientists around the world. Forcasts for
%    tropical Pacific Ocean temperatures for one to two years in advance
%    can be made using the ENSO cycle data. These forcasts are possible
%    because of the moored buoys, along with drifting buoys, volunteer ship
%    temperature probes, and sea level measurements.
% 
%     Research Questions
% 
%    Research questions of interest include:
%      * How can the data be used to predict weather conditions throughout
%        the world?
%      * How do the variables relate to each other?
%      * Which variables have a greater effect on the climate variations?
%      * Does the amount of movement of the buoy effect the reliability of
%        the data?
% 
%    When performing an analysis of the data, one should pay attention the
%    possible affect of autocorrelation. Using a multiple regression
%    approach to model the data would require a look at autoregression
%    since the weather statistics of the previous days will affect today's
%    weather.
% 
% Data Format
% 
%    The data is stored in an ASCII files with one observation per line.
%    Spaces separate fields and periods (.) denote missing values.
% 
% Past Usage
% 
%    This data was used in the American Statistical Association Statistical
%    Graphics and Computing Sections 1999 Data Exposition.
% 
% References and Further Information
% 
%    More information and data from the TAO array can be found at the
%    Pacific Marine Environmental Laboratory [4]TAO data webpage.
% 
%    Information on storm data is available [5]here. This site contains
%    data from January 1994 to April 1998 in a chronological listing by
%    state provided by the National Weather Service. The data includes
%    hurricanes, tornadoes, thunderstorms, hail, floods, drought
%    conditions, lightning, high winds, snow, and temperature extremes.
% 
%    Hurricane tracking data for the Atlantic is available [6]here. The
%    site contains a map showing the paths of the Atlantic hurricanes and
%    also includes the storms winds (in knots), pressure (in millibars),
%    and the category of the storm based on Saffir-Simpson scale.
% 
%    Another site of interest related to the ENSO cyles is available
%    [7]here. This site contains information on twelve areas of the world
%    that have demonstrated ENSO-precipitation relationships. Included in
%    the site are maps of the areas and time series plots of actual daily
%    precipitation and accumulated normal precipitation for the areas.
%      _________________________________________________________________
% 
% 
%     [8]The UCI KDD Archive
%     [9]Information and Computer Science
%     [10]University of California, Irvine
%     Irvine, CA 92697-3425
% 
%    Last modified: June 30, 1999
% 
% References
% 
%    1. http://www.pmel.noaa.gov/
%    2. http://www.public.iastate.edu/~dicook/
%    3. mailto:dicook@iastate.edu
%    4. http://www.pmel.noaa.gov/toga-tao/
%    5. http://www.ncdc.noaa.gov/pdfs/sd/sd.html
%    6. http://wxp.eas.purdue.edu/hur_atlantic/
%    7. http://www.cpc.ncep.noaa.gov/products/analysis_monitoring/ensostuff/current_impacts/precip_accum.html
%    8. http://kdd.ics.uci.edu/
%    9. http://www.ics.uci.edu/
%   10. http://www.uci.edu/
%
%
% Information about the dataset
% CLASSTYPE: numeric
% CLASSINDEX: none specific
%

@relation el_nino-small

@attribute buoy {1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59}
@attribute day {1,2,3,4,5,6,7,8,9,10,11,12,13,14}
@attribute latitude REAL
@attribute longitude REAL
@attribute zon_winds REAL
@attribute mer_winds REAL
@attribute humidity REAL
@attribute air_temp REAL
@attribute s_s_temp REAL

@data
1,1,8.96,-140.32,-6.3,-6.4,83.5,27.32,27.57
1,2,8.95,-140.32,-5.7,-3.6,86.4,26.70,27.62
1,3,8.96,-140.32,-6.2,-5.8,83.0,27.36,27.68
1,4,8.96,-140.34,-6.4,-5.3,82.2,27.32,27.70
1,5,8.96,-140.33,-4.9,-6.2,87.3,27.09,27.85
1,6,8.96,-140.33,-6.3,-4.9,91.5,26.82,27.98
1,7,8.97,-140.32,-6.7,-3.7,94.1,26.62,28.04
1,8,8.96,-140.33,-6.3,-4.8,92.0,26.89,27.98
1,9,8.97,-140.33,-6.3,-4.9,86.9,27.44,28.13
1,10,8.97,-140.32,-4.2,-2.5,87.3,26.62,28.14
1,11,8.96,-140.32,-6.8,-2.4,86.0,27.60,28.09
1,12,8.96,-140.33,-7.1,-3.2,82.2,27.87,28.15
1,13,8.96,-140.33,-6.7,-4.7,81.3,27.75,28.19
2,1,4.93,-139.87,-2.9,-1.2,87.6,26.84,28.35
2,2,4.92,-139.86,0.4,-1.6,82.3,27.30,28.48
2,3,4.92,-139.87,-4.0,-4.6,83.0,28.00,28.61
2,4,4.92,-139.88,-6.3,-3.2,87.6,27.61,28.55
2,5,4.93,-139.87,-4.1,3.3,84.6,27.69,28.35
2,6,4.93,-139.87,-5.4,1.9,81.9,27.96,28.48
2,7,4.93,-139.86,-4.7,0.9,80.3,28.08,28.54
2,8,4.92,-139.87,-2.5,-0.9,84.2,27.61,28.72
2,9,4.93,-139.87,-5.1,2.0,84.6,27.42,28.66
2,10,4.93,-139.86,-1.3,0.7,80.0,27.65,28.73
2,11,4.93,-139.85,-5.4,-1.2,83.4,27.89,28.84
2,12,4.93,-139.86,-6.2,-4.0,82.7,27.77,28.63
2,13,4.93,-139.87,-4.8,2.6,82.3,27.42,28.48
3,1,2.00,-139.95,-0.3,3.2,86.8,27.10,27.85
3,2,2.00,-139.96,-1.6,1.1,83.6,27.42,28.06
3,3,1.99,-139.97,-3.9,-2.5,87.5,27.30,28.01
3,4,1.98,-139.96,-4.7,1.4,88.3,26.98,27.95
3,5,1.99,-139.97,-5.3,2.5,82.5,27.14,27.99
3,6,2.00,-139.97,-6.8,0.5,82.8,27.46,27.89
3,7,2.00,-139.97,-5.6,0.5,84.0,27.02,27.49
3,8,2.00,-139.96,-3.4,2.0,87.2,26.55,27.27
3,9,2.00,-139.97,-4.5,2.3,82.1,25.59,26.97
3,10,2.00,-139.96,-4.1,0.4,79.3,25.47,27.07
3,11,1.99,-139.97,-5.8,0.7,83.2,26.27,27.37
3,12,2.00,-139.97,-7.2,2.8,83.2,26.23,27.26
3,13,2.00,-139.98,-5.8,0.5,78.1,25.79,27.10
3,14,2.00,-139.99,-5.4,-0.4,77.8,25.91,26.85
4,1,-0.01,-139.94,0.7,0.3,93.1,26.54,26.42
4,2,-0.02,-139.93,-1.5,-0.4,92.3,26.51,26.49
4,3,-0.01,-139.94,-3.4,-1.4,92.3,26.53,26.42
4,4,-0.02,-139.94,-4.3,1.3,92.3,26.18,26.02
4,5,-0.02,-139.94,-3.7,0.4,92.3,25.79,25.77
4,6,-0.01,-139.94,-5.1,-2.5,92.3,26.03,25.70
4,7,-0.02,-139.94,-5.4,-2.1,88.1,25.50,25.15
4,8,-0.02,-139.94,-3.6,-0.6,90.4,25.04,24.82
4,9,-0.02,-139.94,-3.3,0.3,88.8,24.63,24.51
4,10,-0.02,-139.93,-3.0,-2.7,87.3,24.51,24.36
4,11,-0.02,-139.93,-4.7,-1.0,90.4,24.19,24.15
4,12,-0.02,-139.93,-5.2,0.2,87.3,24.02,24.10
4,13,-0.01,-139.94,-4.7,-1.0,88.4,24.21,24.15
5,1,-2.02,-139.96,1.7,1.2,87.3,27.36,28.71
5,2,-2.00,-139.96,-1.1,-1.9,86.9,27.28,28.43
5,3,-2.01,-139.97,-3.7,-2.7,84.8,27.43,28.47
5,4,-2.01,-139.97,-4.4,-3.0,81.9,27.75,28.83
5,5,-2.02,-139.97,-3.9,-1.4,83.6,27.91,28.92
5,6,-2.02,-139.96,-5.8,-3.4,88.9,27.75,28.71
5,7,-2.03,-139.97,-4.5,-5.2,87.7,27.08,28.27
5,8,-2.02,-139.97,-3.6,-4.5,83.1,26.60,27.70
5,9,-2.02,-139.96,-2.6,-2.3,84.4,26.41,27.27
5,10,-2.02,-139.96,-1.2,-5.1,88.5,25.93,27.00
5,11,-2.01,-139.96,-4.0,-4.3,84.4,25.54,26.77
5,12,-2.01,-139.96,-4.0,-3.1,84.8,25.69,26.87
5,13,-2.02,-139.96,-2.8,-4.5,89.3,25.61,26.86
5,14,-2.02,-139.97,?,?,?,25.26,26.55
6,1,-5.01,-139.92,-0.6,3.5,83.8,28.02,28.94
6,2,-5.01,-139.91,0.2,-2.5,85.4,27.13,28.85
6,3,-5.01,-139.92,-3.9,-3.4,79.8,28.38,29.03
6,4,-5.01,-139.92,-4.2,-2.5,79.4,28.18,28.98
6,5,-5.01,-139.92,-3.0,0.3,82.6,27.87,29.04
6,6,-5.01,-139.92,-7.9,1.1,78.6,28.45,29.08
6,7,-5.01,-139.92,-5.5,0.5,76.1,28.53,29.15
6,8,-5.01,-139.92,-3.1,-1.7,85.8,27.16,29.05
6,9,-5.01,-139.91,-3.5,-0.8,84.2,27.48,28.99
6,10,-5.01,-139.92,-3.3,-0.7,81.8,27.91,29.05
6,11,-5.00,-139.91,-2.8,-4.9,79.8,28.02,29.00
6,12,-5.01,-139.92,-4.0,-1.5,82.2,27.59,28.95
6,13,-5.01,-139.92,-7.8,1.0,76.1,28.34,28.88
6,14,-5.01,-139.92,?,?,?,27.44,28.85
7,1,5.15,-124.87,-4.8,2.5,90.9,27.85,28.71
7,2,5.14,-124.86,-2.2,4.0,86.6,28.33,28.64
7,3,5.14,-124.87,-1.6,0.5,88.5,27.37,28.66
7,4,5.15,-124.87,-3.0,1.8,89.3,27.53,28.68
7,5,5.14,-124.87,-4.6,3.3,83.1,27.81,28.61
7,6,5.14,-124.87,-4.9,1.6,84.6,28.01,28.62
7,7,5.14,-124.87,-4.6,2.4,88.5,27.45,28.77
7,8,5.15,-124.87,-2.2,5.1,86.2,27.25,28.81
7,9,5.14,-124.87,-1.8,3.8,83.1,27.53,28.79
7,10,5.14,-124.87,-3.8,3.4,81.1,27.29,28.75
7,11,5.14,-124.87,-4.2,2.4,80.3,27.53,28.70
7,12,5.14,-124.87,-3.4,2.1,80.3,27.37,28.83
7,13,5.14,-124.87,-3.4,3.1,81.1,27.29,28.93
8,1,1.95,-125.07,-7.1,1.1,79.5,27.14,27.90
8,2,1.96,-125.07,-3.4,1.6,79.1,26.94,27.12
8,3,1.94,-125.07,-3.5,0.8,84.9,26.62,27.03
8,4,1.95,-125.07,-5.8,1.5,84.9,25.89,26.18
8,5,1.96,-125.07,-4.9,2.2,84.1,25.29,25.82
8,6,1.95,-125.07,-5.9,0.7,81.6,25.21,25.56
8,7,1.94,-125.07,-6.0,1.4,81.2,24.85,25.55
8,8,1.95,-125.07,-4.7,2.0,82.4,24.45,25.34
8,9,1.95,-125.07,-4.7,2.0,82.8,24.41,25.05
8,10,1.96,-125.07,-4.7,1.2,81.2,24.49,24.91
8,11,1.95,-125.07,-4.6,0.7,82.8,24.49,24.84
8,12,1.94,-125.07,-4.7,1.2,80.3,24.08,24.92
8,13,1.96,-125.07,-4.5,1.1,79.9,23.84,25.26
9,1,-0.20,-124.37,-3.6,0.0,89.8,25.09,24.62
9,2,-0.21,-124.37,-0.3,-0.6,89.4,25.39,24.82
9,3,-0.22,-124.36,-1.0,-0.9,89.4,25.75,25.59
9,4,-0.21,-124.39,-4.2,1.0,85.6,25.54,25.21
9,5,-0.20,-124.39,-3.6,1.2,85.2,25.13,24.71
9,6,-0.20,-124.39,-4.3,-0.1,84.4,24.70,24.10
9,7,-0.20,-124.40,-3.8,0.0,85.6,24.03,23.72
9,8,-0.19,-124.39,-3.1,-0.7,84.4,23.94,23.82
9,9,-0.20,-124.39,-3.2,-0.3,84.4,23.87,23.70
9,10,-0.20,-124.38,-2.6,-1.2,86.5,23.59,23.28
9,11,-0.19,-124.38,-3.5,-0.6,84.8,23.28,22.79
9,12,-0.19,-124.39,-3.1,0.7,84.4,22.72,22.44
9,13,-0.19,-124.38,-3.6,0.0,84.8,22.74,22.56
10,1,-2.03,-124.89,-5.3,-1.8,87.0,27.06,27.32
10,2,-2.03,-124.89,-0.6,-2.4,89.9,26.51,27.18
10,3,-2.04,-124.88,-0.3,-3.2,91.2,26.12,26.87
10,4,-2.02,-124.89,-4.0,-1.0,89.5,26.43,26.82
10,5,-2.03,-124.89,-4.6,-1.3,86.2,26.67,27.19
10,6,-2.04,-124.90,-6.4,-2.8,82.5,26.71,27.13
10,7,-2.04,-124.90,-5.9,-2.0,81.3,26.31,26.91
10,8,-2.04,-124.90,-3.2,-2.7,85.4,25.92,26.70
10,9,-2.04,-124.89,-4.4,-1.3,84.6,25.76,26.17
10,10,-2.04,-124.89,-3.6,-2.2,87.0,25.57,25.98
10,11,-2.04,-124.89,-3.0,-3.5,87.9,25.06,25.81
10,12,-2.04,-124.89,-3.9,-1.8,83.3,25.06,25.41
10,13,-2.03,-124.89,-2.7,-3.2,87.5,24.90,25.42
11,1,-5.02,-124.94,-7.2,-0.9,87.1,28.09,28.19
11,2,-5.01,-124.94,-6.0,0.1,85.6,28.36,28.23
11,3,-5.02,-124.94,-6.7,-0.2,83.0,28.32,28.32
11,4,-5.01,-124.94,-6.0,1.4,79.6,28.17,28.26
11,5,-5.01,-124.94,-5.3,0.6,84.5,27.51,28.41
11,6,-5.01,-124.94,-7.2,-2.8,82.2,28.05,28.46
11,7,-5.02,-124.94,-5.5,-3.5,80.0,27.89,28.42
11,8,-5.02,-124.95,-4.5,-2.2,83.4,27.82,28.25
11,9,-5.02,-124.93,-2.5,-3.8,81.9,27.70,28.22
11,10,-5.02,-124.94,-4.5,-3.7,80.7,27.97,28.17
11,11,-5.02,-124.94,-2.8,-1.3,79.2,27.74,28.32
11,12,-5.02,-124.93,-5.7,-2.0,85.2,27.00,28.21
11,13,-5.01,-124.94,-7.6,1.4,75.5,27.82,28.05
12,1,-7.97,-125.01,-8.0,0.7,79.6,28.29,?
12,2,-7.97,-125.01,-6.1,1.0,79.6,28.25,?
12,3,-7.97,-125.02,-6.2,1.8,76.6,28.05,?
12,4,-7.97,-125.02,-5.1,1.0,71.5,27.81,?
12,5,-7.97,-125.02,-6.2,0.4,76.2,27.97,?
12,6,-7.97,-125.02,-7.9,0.9,78.3,27.85,?
12,7,-7.97,-125.01,-6.6,0.8,83.5,27.18,?
12,8,-7.95,-125.01,-6.3,1.0,75.8,28.05,?
12,9,-7.96,-125.01,-6.2,1.6,82.6,27.38,?
12,10,-7.97,-125.01,-8.5,-0.3,78.8,27.85,?
12,11,-7.97,-125.01,-6.1,2.4,74.9,28.01,?
12,12,-7.96,-125.02,-7.7,2.6,79.6,27.42,?
12,13,-7.97,-125.02,-7.9,2.3,71.9,27.46,?
13,1,8.05,-110.15,-3.9,-1.2,?,28.84,29.66
13,2,8.05,-110.15,-0.4,4.2,?,27.88,29.61
13,3,8.04,-110.15,4.8,2.5,?,28.63,29.60
13,4,8.04,-110.16,2.3,-1.6,?,27.87,29.58
13,5,8.04,-110.16,0.5,-2.4,?,29.27,29.91
13,6,8.04,-110.15,0.6,-4.0,?,29.26,29.99
13,7,8.04,-110.15,1.4,-5.1,?,28.92,29.89
13,8,8.04,-110.15,1.2,-0.6,?,28.90,29.90
13,9,8.04,-110.15,3.9,0.0,?,28.77,29.92
13,10,8.05,-110.15,2.2,0.5,?,28.20,29.82
13,11,8.04,-110.16,2.9,-2.5,?,29.35,30.08
13,12,8.05,-110.16,1.9,1.4,?,28.34,30.04
13,13,8.05,-110.15,4.3,4.2,?,27.92,29.87
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16,12,-1.98,-110.00,-2.7,0.0,88.3,24.82,25.11
16,13,-1.98,-110.00,-3.9,0.8,87.1,?,?
17,1,-4.98,-109.98,-7.1,2.8,86.2,27.28,27.31
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17,13,-4.98,-109.99,-5.2,1.9,84.6,26.62,26.64
18,1,-8.05,-109.94,?,?,80.1,27.72,27.99
18,2,-8.05,-109.92,?,?,78.4,27.56,28.02
18,3,-8.05,-109.93,?,?,77.3,27.44,28.10
18,4,-8.05,-109.93,?,?,79.8,27.08,28.15
18,5,-8.05,-109.93,?,?,83.2,26.72,28.09
18,6,-8.10,-109.94,?,?,85.3,26.64,27.99
18,7,-8.05,-109.94,?,?,87.8,26.76,27.97
18,8,-8.05,-109.93,?,?,84.3,27.40,27.97
18,9,-8.05,-109.93,?,?,87.8,26.88,28.01
18,10,-8.05,-109.93,?,?,80.8,27.56,27.99
18,11,-8.05,-109.93,?,?,79.8,27.24,28.01
18,12,-8.05,-109.93,?,?,80.8,27.04,28.01
18,13,-8.05,-109.93,?,?,79.8,27.32,27.93
19,1,8.06,-94.96,-2.3,2.4,86.4,29.14,?
19,2,8.06,-94.95,1.7,-0.3,83.7,29.24,?
19,3,8.05,-94.96,0.9,1.0,87.1,28.53,?
19,4,8.05,-94.95,7.0,1.3,84.4,29.18,?
19,5,8.05,-94.96,3.3,2.8,83.7,29.32,?
19,6,8.06,-94.96,2.8,1.8,84.8,29.09,?
19,7,8.06,-94.95,0.4,1.1,83.7,28.97,?
19,8,8.06,-94.98,2.0,0.8,83.7,28.66,?
19,9,8.06,-94.95,2.5,1.3,84.1,28.67,?
19,10,8.05,-94.95,2.6,0.2,84.8,28.73,?
19,11,8.05,-94.95,2.0,-1.2,79.8,29.32,?
19,12,8.05,-94.95,2.8,-2.1,85.2,28.75,?
19,13,8.06,-94.95,3.9,1.4,87.9,27.74,?
20,1,5.02,-94.95,?,?,88.6,27.50,?
20,2,5.02,-94.95,?,?,81.5,28.61,?
20,3,5.02,-94.95,?,?,88.2,?,?
20,4,5.03,-94.95,?,?,?,28.72,?
20,5,5.03,-94.95,?,?,81.1,28.91,?
20,6,5.02,-94.95,?,?,83.1,?,?
20,7,5.02,-94.95,?,?,85.4,27.96,?
20,8,5.02,-94.95,?,?,27.58,?,?
20,9,5.02,-94.96,?,?,83.1,28.30,?
20,10,5.02,-94.96,?,?,?,28.19,?
20,11,5.03,-94.95,?,?,85.4,28.57,?
20,12,5.03,-94.95,?,?,87.8,26.96,?
20,13,5.03,-94.95,?,?,85.0,27.69,?
21,1,1.99,-95.00,-3.2,6.8,81.8,28.12,29.29
21,2,1.99,-95.00,-1.8,6.6,81.8,27.88,29.23
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21,7,1.98,-95.00,-3.4,6.4,80.9,27.65,29.36
21,8,2.00,-95.05,-3.3,4.0,?,?,29.30
21,9,2.00,-95.03,1.0,5.2,?,?,28.97
21,10,2.00,-95.04,0.5,5.5,?,?,?
21,11,2.00,-95.04,?,?,?,?,27.99
21,12,2.00,-95.04,-1.0,6.3,?,?,28.21
21,13,2.00,-95.03,-1.4,6.3,?,?,28.27
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22,5,0.10,-94.98,-2.8,3.0,89.4,24.51,26.71
22,6,0.11,-94.98,?,?,?,24.35,27.12
22,7,0.11,-95.20,-3.4,1.9,?,?,26.76
22,8,0.09,-95.19,-6.5,0.2,?,?,27.01
22,9,0.10,-95.21,-6.3,-1.1,?,?,?
22,10,0.11,-95.20,-5.2,-0.7,?,?,25.57
22,11,0.11,-95.20,-5.2,-0.2,?,?,25.07
22,12,0.10,-95.19,-4.2,0.7,?,?,24.87
22,13,0.13,-95.19,-3.4,0.6,?,?,24.21
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23,7,-1.97,-95.02,-3.6,1.2,93.2,24.68,24.64
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26,1,8.00,-179.91,?,?,?,27.78,28.33
26,2,7.99,-179.88,?,?,?,28.22,28.36
26,3,8.00,-179.91,?,?,?,28.02,28.37
26,4,8.00,-179.91,?,?,?,27.94,28.39
26,5,8.00,-179.91,?,?,?,27.21,28.39
26,6,8.00,-179.91,?,?,?,27.98,28.38
26,6,8.00,-179.91,?,?,?,27.86,28.41
26,7,8.00,-179.91,?,?,?,28.18,28.46
26,8,8.00,-179.91,?,?,?,28.10,28.40
26,9,7.99,-179.91,?,?,?,27.98,28.43
26,10,8.00,-179.91,?,?,?,27.94,28.42
26,11,8.00,-179.91,?,?,?,27.66,28.42
26,12,7.99,-179.90,?,?,?,27.78,28.46
26,13,8.00,-179.91,?,?,?,28.06,28.48
26,14,8.00,-179.91,?,?,?,28.06,28.48
27,1,2.02,179.80,-6.0,-3.2,85.4,28.09,28.41
27,2,2.03,179.80,-6.5,-0.3,90.4,27.19,28.28
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28,4,0.08,-179.87,-4.8,-2.1,90.6,28.37,28.71
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29,14,-1.99,-179.84,-6.6,-2.9,81.6,29.09,29.53
30,1,-5.02,-179.96,?,?,?,?,29.34
30,2,-5.03,-179.96,?,?,?,?,29.26
30,3,-5.03,-179.95,?,?,?,?,29.45
30,4,-5.03,-179.97,?,?,?,?,29.44
30,5,-5.02,-179.96,?,?,?,?,29.35
30,6,-5.02,-179.96,?,?,?,?,29.44
30,7,-5.02,-179.96,?,?,?,?,29.25
30,8,-5.02,-179.96,?,?,?,?,29.26
30,9,-5.02,-179.96,-3.9,0.0,?,?,29.34
30,10,-5.02,-179.96,-2.0,0.8,?,?,29.57
30,11,-5.02,-179.96,-3.2,-0.3,?,?,29.61
30,12,-5.02,-179.96,-1.3,-1.3,?,?,29.58
30,13,-5.03,-179.96,-4.4,-3.2,?,?,29.59
30,14,-5.03,-179.96,-6.6,-3.0,?,?,29.47
31,1,-7.97,-179.86,-1.8,-1.1,?,?,29.53
31,2,-7.97,-179.87,-3.0,1.1,?,?,29.60
31,3,-7.97,-179.87,-6.5,-0.2,?,?,29.40
31,4,-7.97,-179.87,-5.6,2.1,?,?,29.35
31,5,-7.97,-179.86,-4.6,2.1,?,?,29.33
31,6,-7.97,-179.87,-4.3,1.5,?,?,29.30
31,7,-7.97,-179.87,-3.4,1.1,?,?,29.23
31,8,-7.97,-179.86,-3.4,0.1,?,?,29.24
31,9,-7.97,-179.86,-5.5,1.7,?,?,29.19
31,10,-7.97,-179.86,-4.7,0.3,?,?,29.26
31,11,-7.97,-179.87,-5.7,-0.9,?,?,29.18
31,12,-7.98,-179.86,-5.8,-1.5,?,?,29.11
31,13,-7.97,-179.87,-6.0,-1.8,?,?,29.12
31,14,-7.97,-179.87,-6.8,-1.9,?,?,?
32,1,8.01,-170.06,-7.4,-5.0,82.6,27.96,28.22
32,2,8.01,-170.06,-7.5,-5.6,82.0,28.00,28.20
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33,1,4.98,-169.96,-7.9,-2.8,?,27.83,28.47
33,2,4.97,-169.98,-7.9,-3.0,?,27.97,28.44
33,3,4.97,-169.97,-8.9,-1.8,?,27.47,28.39
33,4,4.98,-169.97,-7.8,-2.0,?,27.21,28.33
33,5,4.98,-169.98,-7.6,-3.2,?,27.72,28.34
33,6,4.97,-169.98,-7.7,-1.0,?,27.61,28.32
33,7,4.97,-169.97,-8.4,-2.1,?,27.81,28.36
33,8,4.97,-169.98,-6.7,-2.6,?,27.43,28.31
33,9,4.97,-169.97,-6.0,-4.9,?,27.85,28.27
33,10,4.97,-169.96,-6.2,-4.5,?,27.72,28.31
33,11,4.97,-169.98,-5.7,-3.8,?,27.71,28.33
33,12,4.97,-169.98,-4.9,-3.5,?,27.84,28.39
33,13,4.97,-169.98,-4.2,-1.2,?,27.61,28.53
33,14,4.97,-169.98,-6.2,2.2,?,26.86,28.50
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34,7,1.98,-170.00,-4.7,-3.1,96.9,28.01,28.04
34,8,1.98,-170.01,-3.5,-1.3,96.5,27.66,28.21
34,9,1.97,-170.00,-3.2,-0.9,99.4,26.99,28.34
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34,12,1.97,-170.00,-3.7,-3.2,94.9,27.97,28.56
34,13,1.98,-170.01,-3.9,-1.8,92.5,28.20,28.58
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53,12,-1.99,155.94,-5.0,-1.4,?,?,29.58
53,13,-1.99,155.94,-6.2,1.1,?,?,29.54
53,14,-2.00,155.94,-1.6,0.0,?,?,29.30
54,1,7.98,165.06,-5.8,-3.4,84.5,28.35,28.72
54,2,7.98,165.07,-5.8,-4.3,83.7,28.44,28.71
54,3,7.99,165.06,-7.0,-2.4,87.7,28.18,28.70
54,4,7.98,165.07,-7.2,-3.9,87.7,28.42,28.74
54,5,7.99,165.06,-5.8,-4.5,81.4,28.50,28.70
54,6,7.99,165.06,-4.4,-4.2,79.8,28.33,28.76
54,7,7.98,165.07,-4.9,-2.5,84.5,28.32,28.75
54,8,7.99,165.07,-4.1,1.2,92.4,27.67,28.77
54,9,7.98,165.06,-1.5,0.1,92.4,26.97,28.77
54,10,7.98,165.07,-6.1,-4.1,85.3,28.46,28.77
54,11,7.98,165.06,-5.8,-3.8,81.4,28.45,28.77
54,12,7.98,165.06,-6.8,-2.4,88.9,28.17,28.77
54,13,7.98,165.08,-6.7,-4.2,90.0,28.28,28.77
54,14,7.98,165.06,-6.2,-4.9,88.9,28.40,28.77
55,1,5.03,165.02,-6.2,-3.5,84.0,28.50,28.68
55,2,5.02,165.03,-6.1,-3.9,84.4,28.44,28.65
55,3,5.02,165.03,-6.2,-0.2,89.3,27.65,28.63
55,4,5.02,165.02,-6.6,-1.8,88.5,28.12,28.77
55,5,5.02,165.02,-5.6,-4.4,86.5,28.13,28.62
55,6,5.02,165.02,-3.9,-5.3,81.2,28.34,28.66
55,7,5.03,165.02,-4.0,-2.9,84.4,28.24,28.68
55,8,5.03,165.03,-2.0,3.3,88.5,27.98,28.82
55,9,5.03,165.02,-3.2,-1.0,84.8,27.97,28.96
55,10,5.03,165.02,-7.2,-3.1,85.3,28.43,28.82
55,11,5.03,165.02,-5.9,-3.8,82.8,28.44,28.79
55,12,5.03,165.02,-6.8,-0.2,84.8,28.55,28.85
55,13,5.02,165.03,-6.6,-0.6,88.5,28.18,28.88
55,14,5.03,165.02,-6.4,-1.6,87.7,28.53,28.87
56,1,0.01,165.01,-1.7,-1.9,?,?,?
56,2,0.00,165.02,-3.5,0.3,?,?,?
56,3,0.00,165.01,-3.8,-0.2,?,?,?
56,4,0.00,165.01,-4.3,-1.5,?,?,?
56,5,0.00,165.01,-2.9,-1.9,?,?,?
56,6,0.00,165.01,-1.1,-2.2,?,?,?
56,7,0.00,165.02,-0.8,-0.9,?,?,?
56,8,0.00,165.02,-2.9,1.5,?,?,?
56,9,0.00,165.01,-3.0,-2.9,?,?,?
56,10,0.00,165.02,-3.9,-5.0,?,?,?
56,11,0.00,165.01,-4.1,-2.1,?,?,?
56,12,0.00,165.01,-4.9,0.0,?,?,?
56,13,0.00,165.01,-4.9,-1.6,?,?,?
56,14,0.00,165.01,-4.0,-1.7,?,?,?
57,1,-1.92,164.41,-1.6,-3.4,81.3,28.44,?
57,2,-1.92,164.41,-2.0,-0.9,79.2,28.52,?
57,3,-1.92,164.42,-3.3,-0.3,78.0,28.67,?
57,4,-1.92,164.42,-3.6,-2.3,82.5,28.48,?
57,5,-1.93,164.41,-2.3,-2.9,79.6,28.55,?
57,6,-1.92,164.42,-0.2,-2.7,80.1,28.49,?
57,7,-1.92,164.42,-3.3,1.1,80.9,28.26,?
57,8,-1.92,164.42,-3.0,1.7,80.9,28.45,?
57,9,-1.93,164.42,-4.4,-2.3,83.3,28.18,?
58,1,-5.00,165.20,0.3,-4.4,88.1,26.82,29.35
58,2,-5.00,165.21,-0.4,-1.2,85.0,27.50,29.53
58,3,-4.99,165.21,-1.3,-0.7,75.9,28.72,29.70
58,4,-5.00,165.21,-2.4,-0.2,79.8,28.67,29.84
58,5,-4.99,165.21,-0.3,-2.0,80.7,28.28,29.68
58,6,-5.00,165.21,3.4,1.7,84.1,27.49,29.56
58,7,-4.99,165.21,-3.4,-0.2,85.5,26.61,29.46
58,8,-4.99,165.20,-3.9,1.1,79.8,28.13,29.42
58,9,-4.99,165.21,-6.3,-0.1,85.9,27.34,29.33
58,10,-4.99,165.21,-2.4,-3.1,82.4,27.60,29.39
58,11,-5.00,165.20,-3.7,0.0,84.1,27.21,29.34
58,12,-5.00,165.20,-4.2,1.6,81.5,28.09,29.38
58,13,-5.00,165.20,-5.1,1.1,83.3,28.16,29.46
58,14,-5.00,165.20,-3.9,-1.0,85.9,27.89,29.42
59,1,-8.03,164.82,?,?,93.3,27.64,28.69
59,2,-8.03,164.81,?,?,91.8,28.48,28.94
59,3,-8.03,164.82,?,?,91.2,28.61,29.07
59,4,-8.03,164.82,?,?,93.6,28.47,28.90
59,5,-8.03,164.82,?,?,88.8,28.47,29.22
59,6,-8.03,164.82,?,?,90.6,27.97,29.11
59,7,-8.03,164.82,?,?,89.5,27.51,28.78
59,8,-8.04,164.82,?,?,85.9,27.65,28.65
59,9,-8.03,164.82,?,?,89.5,28.37,28.66
59,10,-8.04,164.82,?,?,93.6,26.89,28.52
59,11,-8.04,164.82,?,?,92.3,27.62,28.44
59,12,-8.03,164.81,?,?,93.2,28.33,28.43
59,13,-8.04,164.82,?,?,95.5,28.44,28.51
59,14,-8.04,164.81,?,?,93.4,28.67,28.61

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