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mauna-loa-atmospheric-co2

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Public Domain (CC0) Visibility: public Uploaded 30-08-2018 by Max Copeland

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Weekly carbon-dioxide concentration averages derived from continuous air samples for the Mauna Loa Observatory, Hawaii, U.S.A.

These weekly averages are ultimately based on measurements of 4 air samples per hour taken atop intake lines on several towers during steady periods of CO2 concentration of not less than 6 hours per day; if no such periods are available on a given day, then no data are used for that day. The _Weight_ column gives the number of days used in each weekly average. _Flag_ codes are explained in the NDP writeup, available electronically from the [home page](http://cdiac.ess-dive.lbl.gov/ftp/trends/co2/sio-keel-flask/maunaloa_c.dat) of this data set. CO2 concentrations are in terms of the 1999 calibration scale (Keeling et al., 2002) available electronically from the references in the NDP writeup which can be accessed from the home page of this data set.

### Feature Descriptions _co2_: average co2 concentration in ppvm

_year_: year of concentration measurement

_month_: month of concentration measurement

_day_: day of month of concentration measurement

_weight_: number of days used in each weekly average

_flag_: flag code

_station_: station code

Author: Carbon Dioxide Research Group, Scripps Institution of Oceanography, University of California-San Diego, La Jolla, California, USA 92023-0444

Source: [original](http://cdiac.ess-dive.lbl.gov/ftp/trends/co2/sio-keel-flask/maunaloa_c.dat) - September 2004

These weekly averages are ultimately based on measurements of 4 air samples per hour taken atop intake lines on several towers during steady periods of CO2 concentration of not less than 6 hours per day; if no such periods are available on a given day, then no data are used for that day. The _Weight_ column gives the number of days used in each weekly average. _Flag_ codes are explained in the NDP writeup, available electronically from the [home page](http://cdiac.ess-dive.lbl.gov/ftp/trends/co2/sio-keel-flask/maunaloa_c.dat) of this data set. CO2 concentrations are in terms of the 1999 calibration scale (Keeling et al., 2002) available electronically from the references in the NDP writeup which can be accessed from the home page of this data set.

### Feature Descriptions _co2_: average co2 concentration in ppvm

_year_: year of concentration measurement

_month_: month of concentration measurement

_day_: day of month of concentration measurement

_weight_: number of days used in each weekly average

_flag_: flag code

_station_: station code

Author: Carbon Dioxide Research Group, Scripps Institution of Oceanography, University of California-San Diego, La Jolla, California, USA 92023-0444

Source: [original](http://cdiac.ess-dive.lbl.gov/ftp/trends/co2/sio-keel-flask/maunaloa_c.dat) - September 2004

co2 (target) | numeric | 581 unique values 0 missing | |

year | numeric | 44 unique values 0 missing | |

month | numeric | 12 unique values 0 missing | |

day | numeric | 31 unique values 0 missing | |

weight | numeric | 7 unique values 0 missing | |

flag | numeric | 1 unique values 0 missing | |

station | nominal | 1 unique values 0 missing |

-0.63

First quartile of skewness among attributes of the numeric type.

1.04

First quartile of standard deviation of attributes of the numeric type.

Average mutual information between the nominal attributes and the target attribute.

An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.

-1.19

Second quartile (Median) of kurtosis among attributes of the numeric type.

1

Average number of distinct values among the attributes of the nominal type.

11.15

Second quartile (Median) of means among attributes of the numeric type.

Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.

Second quartile (Median) of mutual information between the nominal attributes and the target attribute.

-0.03

Second quartile (Median) of skewness among attributes of the numeric type.

6.12

Second quartile (Median) of standard deviation of attributes of the numeric type.

-0.07

Third quartile of kurtosis among attributes of the numeric type.

Minimal mutual information between the nominal attributes and the target attribute.

Maximum mutual information between the nominal attributes and the target attribute.

1

The minimal number of distinct values among attributes of the nominal type.

Third quartile of mutual information between the nominal attributes and the target attribute.

1

The maximum number of distinct values among attributes of the nominal type.

0.11

Third quartile of skewness among attributes of the numeric type.

-1.2

First quartile of kurtosis among attributes of the numeric type.

13.62

Third quartile of standard deviation of attributes of the numeric type.

0

Standard deviation of the number of distinct values among attributes of the nominal type.

First quartile of mutual information between the nominal attributes and the target attribute.