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Temperature Time-Series For Some Brazilian Cities

Temperature data records for some Brazilian capitals

@kaggle.volpatto_temperature_timeseries_for_some_brazilian_cities

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About this Dataset

Temperature Time-Series For Some Brazilian Cities

Temperature Time-Series for some Brazilian cities

Do you ever wonder how are temperatures in Brazilian cities? Too hot? Cold weather sometimes?
And what about climate changes? Is Brazil getting hotter?

This is your chance to check it out!

Context

This datasets are collected in order to provide some answers for the above question through Data Analysis. Maybe you want to try some Machine Learning model in order to practice and predict the evolution of temperature in some Brazilian cities.

Content

The content is provided by NOAA GHCN v4 and post-processed by NASA's GISTEMP v4.

In summary, each data file contains a temperature time series for a station named according to the city. The time series provides temperature records by month for each year. Some mean measurement is calculated, like metANN and D-J-F. I can't give details about these quantities, nor how they are calculated. Please refer for NASA GISTEMP website in this regard. The most important seems to be metANN, which is an annual temperature mean.

Acknowledgements

These datasets are provided through NASA's GISTEMP v4 and recorded by NOAA GHCN v4. Thanks for researchers and staffs for the really nice work!

Tables

Station Belem

@kaggle.volpatto_temperature_timeseries_for_some_brazilian_cities.station_belem
  • 16.85 KB
  • 59 rows
  • 18 columns
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CREATE TABLE station_belem (
  "year" BIGINT,
  "jan" DOUBLE,
  "feb" DOUBLE,
  "mar" DOUBLE,
  "apr" DOUBLE,
  "may" DOUBLE,
  "jun" DOUBLE,
  "jul" DOUBLE,
  "aug" DOUBLE,
  "sep" DOUBLE,
  "oct" DOUBLE,
  "nov" DOUBLE,
  "dec" DOUBLE,
  "d_j_f" DOUBLE,
  "m_a_m" DOUBLE,
  "j_j_a" DOUBLE,
  "s_o_n" DOUBLE,
  "metann" DOUBLE
);

Station Curitiba

@kaggle.volpatto_temperature_timeseries_for_some_brazilian_cities.station_curitiba
  • 17.57 KB
  • 59 rows
  • 18 columns
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CREATE TABLE station_curitiba (
  "year" BIGINT,
  "jan" DOUBLE,
  "feb" DOUBLE,
  "mar" DOUBLE,
  "apr" DOUBLE,
  "may" DOUBLE,
  "jun" DOUBLE,
  "jul" DOUBLE,
  "aug" DOUBLE,
  "sep" DOUBLE,
  "oct" DOUBLE,
  "nov" DOUBLE,
  "dec" DOUBLE,
  "d_j_f" DOUBLE,
  "m_a_m" DOUBLE,
  "j_j_a" DOUBLE,
  "s_o_n" DOUBLE,
  "metann" DOUBLE
);

Station Fortaleza

@kaggle.volpatto_temperature_timeseries_for_some_brazilian_cities.station_fortaleza
  • 17.05 KB
  • 59 rows
  • 18 columns
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CREATE TABLE station_fortaleza (
  "year" BIGINT,
  "jan" DOUBLE,
  "feb" DOUBLE,
  "mar" DOUBLE,
  "apr" DOUBLE,
  "may" DOUBLE,
  "jun" DOUBLE,
  "jul" DOUBLE,
  "aug" DOUBLE,
  "sep" DOUBLE,
  "oct" DOUBLE,
  "nov" DOUBLE,
  "dec" DOUBLE,
  "d_j_f" DOUBLE,
  "m_a_m" DOUBLE,
  "j_j_a" DOUBLE,
  "s_o_n" DOUBLE,
  "metann" DOUBLE
);

Station Goiania

@kaggle.volpatto_temperature_timeseries_for_some_brazilian_cities.station_goiania
  • 17.36 KB
  • 59 rows
  • 18 columns
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CREATE TABLE station_goiania (
  "year" BIGINT,
  "jan" DOUBLE,
  "feb" DOUBLE,
  "mar" DOUBLE,
  "apr" DOUBLE,
  "may" DOUBLE,
  "jun" DOUBLE,
  "jul" DOUBLE,
  "aug" DOUBLE,
  "sep" DOUBLE,
  "oct" DOUBLE,
  "nov" DOUBLE,
  "dec" DOUBLE,
  "d_j_f" DOUBLE,
  "m_a_m" DOUBLE,
  "j_j_a" DOUBLE,
  "s_o_n" DOUBLE,
  "metann" DOUBLE
);

Station Macapa

@kaggle.volpatto_temperature_timeseries_for_some_brazilian_cities.station_macapa
  • 17.04 KB
  • 53 rows
  • 18 columns
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CREATE TABLE station_macapa (
  "year" BIGINT,
  "jan" DOUBLE,
  "feb" DOUBLE,
  "mar" DOUBLE,
  "apr" DOUBLE,
  "may" DOUBLE,
  "jun" DOUBLE,
  "jul" DOUBLE,
  "aug" DOUBLE,
  "sep" DOUBLE,
  "oct" DOUBLE,
  "nov" DOUBLE,
  "dec" DOUBLE,
  "d_j_f" DOUBLE,
  "m_a_m" DOUBLE,
  "j_j_a" DOUBLE,
  "s_o_n" DOUBLE,
  "metann" DOUBLE
);

Station Manaus

@kaggle.volpatto_temperature_timeseries_for_some_brazilian_cities.station_manaus
  • 20.94 KB
  • 110 rows
  • 18 columns
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CREATE TABLE station_manaus (
  "year" BIGINT,
  "jan" DOUBLE,
  "feb" DOUBLE,
  "mar" DOUBLE,
  "apr" DOUBLE,
  "may" DOUBLE,
  "jun" DOUBLE,
  "jul" DOUBLE,
  "aug" DOUBLE,
  "sep" DOUBLE,
  "oct" DOUBLE,
  "nov" DOUBLE,
  "dec" DOUBLE,
  "d_j_f" DOUBLE,
  "m_a_m" DOUBLE,
  "j_j_a" DOUBLE,
  "s_o_n" DOUBLE,
  "metann" DOUBLE
);

Station Recife

@kaggle.volpatto_temperature_timeseries_for_some_brazilian_cities.station_recife
  • 19.18 KB
  • 78 rows
  • 18 columns
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CREATE TABLE station_recife (
  "year" BIGINT,
  "jan" DOUBLE,
  "feb" DOUBLE,
  "mar" DOUBLE,
  "apr" DOUBLE,
  "may" DOUBLE,
  "jun" DOUBLE,
  "jul" DOUBLE,
  "aug" DOUBLE,
  "sep" DOUBLE,
  "oct" DOUBLE,
  "nov" DOUBLE,
  "dec" DOUBLE,
  "d_j_f" DOUBLE,
  "m_a_m" DOUBLE,
  "j_j_a" DOUBLE,
  "s_o_n" DOUBLE,
  "metann" DOUBLE
);

Station Rio

@kaggle.volpatto_temperature_timeseries_for_some_brazilian_cities.station_rio
  • 16.65 KB
  • 47 rows
  • 18 columns
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CREATE TABLE station_rio (
  "year" BIGINT,
  "jan" DOUBLE,
  "feb" DOUBLE,
  "mar" DOUBLE,
  "apr" DOUBLE,
  "may" DOUBLE,
  "jun" DOUBLE,
  "jul" DOUBLE,
  "aug" DOUBLE,
  "sep" DOUBLE,
  "oct" DOUBLE,
  "nov" DOUBLE,
  "dec" DOUBLE,
  "d_j_f" DOUBLE,
  "m_a_m" DOUBLE,
  "j_j_a" DOUBLE,
  "s_o_n" DOUBLE,
  "metann" DOUBLE
);

Station Salvador

@kaggle.volpatto_temperature_timeseries_for_some_brazilian_cities.station_salvador
  • 17.47 KB
  • 59 rows
  • 18 columns
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CREATE TABLE station_salvador (
  "year" BIGINT,
  "jan" DOUBLE,
  "feb" DOUBLE,
  "mar" DOUBLE,
  "apr" DOUBLE,
  "may" DOUBLE,
  "jun" DOUBLE,
  "jul" DOUBLE,
  "aug" DOUBLE,
  "sep" DOUBLE,
  "oct" DOUBLE,
  "nov" DOUBLE,
  "dec" DOUBLE,
  "d_j_f" DOUBLE,
  "m_a_m" DOUBLE,
  "j_j_a" DOUBLE,
  "s_o_n" DOUBLE,
  "metann" DOUBLE
);

Station Sao Luiz

@kaggle.volpatto_temperature_timeseries_for_some_brazilian_cities.station_sao_luiz
  • 15.58 KB
  • 41 rows
  • 18 columns
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CREATE TABLE station_sao_luiz (
  "year" BIGINT,
  "jan" DOUBLE,
  "feb" DOUBLE,
  "mar" DOUBLE,
  "apr" DOUBLE,
  "may" DOUBLE,
  "jun" DOUBLE,
  "jul" DOUBLE,
  "aug" DOUBLE,
  "sep" DOUBLE,
  "oct" DOUBLE,
  "nov" DOUBLE,
  "dec" DOUBLE,
  "d_j_f" DOUBLE,
  "m_a_m" DOUBLE,
  "j_j_a" DOUBLE,
  "s_o_n" DOUBLE,
  "metann" DOUBLE
);

Station Sao Paulo

@kaggle.volpatto_temperature_timeseries_for_some_brazilian_cities.station_sao_paulo
  • 19.17 KB
  • 74 rows
  • 18 columns
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CREATE TABLE station_sao_paulo (
  "year" BIGINT,
  "jan" DOUBLE,
  "feb" DOUBLE,
  "mar" DOUBLE,
  "apr" DOUBLE,
  "may" DOUBLE,
  "jun" DOUBLE,
  "jul" DOUBLE,
  "aug" DOUBLE,
  "sep" DOUBLE,
  "oct" DOUBLE,
  "nov" DOUBLE,
  "dec" DOUBLE,
  "d_j_f" DOUBLE,
  "m_a_m" DOUBLE,
  "j_j_a" DOUBLE,
  "s_o_n" DOUBLE,
  "metann" DOUBLE
);

Station Vitoria

@kaggle.volpatto_temperature_timeseries_for_some_brazilian_cities.station_vitoria
  • 17.19 KB
  • 59 rows
  • 18 columns
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CREATE TABLE station_vitoria (
  "year" BIGINT,
  "jan" DOUBLE,
  "feb" DOUBLE,
  "mar" DOUBLE,
  "apr" DOUBLE,
  "may" DOUBLE,
  "jun" DOUBLE,
  "jul" DOUBLE,
  "aug" DOUBLE,
  "sep" DOUBLE,
  "oct" DOUBLE,
  "nov" DOUBLE,
  "dec" DOUBLE,
  "d_j_f" DOUBLE,
  "m_a_m" DOUBLE,
  "j_j_a" DOUBLE,
  "s_o_n" DOUBLE,
  "metann" DOUBLE
);

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