Name: Air Quality Monitoring From EcoCity
Creator: Kaggle
License: https://creativecommons.org/licenses/by-nd/4.0/

About this Dataset

Air Quality Monitoring From EcoCity

Context

The dataset contains data from public monitoring of air quality in Ukraine (for Vinnytsia city and region - population: 1 575 808, square: 26513 sq. km).

Content

Many stations monitor air quality day and night according to the following indicators:

pm1 - PM1.0 (dust particles with a size of 1 μm), mkg/cub.m
pm25 - PM2.5 (dust particles with a size of 2.5 μm), mkg/cub.m
pm10 - PM10 (dust particles with a size of 10 μm), mkg/cub.m
CO2 - carbon dioxide, mkg/cub.m
temperature - temperature, in degrees Celsius
humidity - Humidity, %
pressure - Pressure, pascals (Pa)

In some stations, there may be additional indicators.

The stations belong to the monitoring network "Eco-City".
Data are measured at intervals of 15 seconds to several minutes (145 seconds or more). Sometimes longer periods of time are possible, due to power outages and/or communications.

Acknowledgments

I thank service "Eco-City" for the opportunity to download data.

Inspiration

It is interesting to solve the following problems, which are typical for other cities and regions around the world:

Analyze the basic patterns of data change in the city or regions as a whole and for each station separately (seasonality, anomalies, etc.).
Forecast data for the following dates, which is easy to check for new data from service "Eco-City". New data in the dataset will be updated periodically.
Forecast the data for the current day. For comparison, they can be downloaded from service "Eco-City" via API.
Compare public monitoring data with state monitoring data available through API.

I will prepare baseline notebooks to solve these problems and invite others to improve them.

Tables

Ecocity Hourly 1813–2023

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_1813_2023

208.26 kB
21,629 rows
5 columns

CREATE TABLE ecocity_hourly_1813_2023 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 1813–2024

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_1813_2024

468.66 kB
47,150 rows
5 columns

CREATE TABLE ecocity_hourly_1813_2024 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 1825–2023

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_1825_2023

335.24 kB
33,321 rows
5 columns

CREATE TABLE ecocity_hourly_1825_2023 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 1825–2024

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_1825_2024

660.24 kB
68,958 rows
5 columns

CREATE TABLE ecocity_hourly_1825_2024 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 1830–2023

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_1830_2023

218.52 kB
22,522 rows
5 columns

CREATE TABLE ecocity_hourly_1830_2023 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 1830–2024

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_1830_2024

559.28 kB
58,695 rows
5 columns

CREATE TABLE ecocity_hourly_1830_2024 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 1834–2023

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_1834_2023

258.48 kB
26,868 rows
5 columns

CREATE TABLE ecocity_hourly_1834_2023 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 1834–2024

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_1834_2024

621.65 kB
63,646 rows
5 columns

CREATE TABLE ecocity_hourly_1834_2024 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 1864–2023

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_1864_2023

87.29 kB
8,424 rows
5 columns

CREATE TABLE ecocity_hourly_1864_2023 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 1864–2024

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_1864_2024

381.24 kB
36,318 rows
5 columns

CREATE TABLE ecocity_hourly_1864_2024 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 1866–2023

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_1866_2023

151.71 kB
15,582 rows
5 columns

CREATE TABLE ecocity_hourly_1866_2023 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 1866–2024

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_1866_2024

522.99 kB
52,906 rows
5 columns

CREATE TABLE ecocity_hourly_1866_2024 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 1872–2023

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_1872_2023

99.71 kB
9,240 rows
5 columns

CREATE TABLE ecocity_hourly_1872_2023 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 1872–2024

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_1872_2024

420.29 kB
40,344 rows
5 columns

CREATE TABLE ecocity_hourly_1872_2024 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 1874–2023

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_1874_2023

58.1 kB
5,335 rows
5 columns

CREATE TABLE ecocity_hourly_1874_2023 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 1874–2024

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_1874_2024

155.37 kB
15,101 rows
5 columns

CREATE TABLE ecocity_hourly_1874_2024 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 1876–2023

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_1876_2023

77.44 kB
7,026 rows
5 columns

CREATE TABLE ecocity_hourly_1876_2023 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 1876–2024

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_1876_2024

409.44 kB
38,886 rows
5 columns

CREATE TABLE ecocity_hourly_1876_2024 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 197–2023

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_197_2023

29.69 kB
2,450 rows
5 columns

CREATE TABLE ecocity_hourly_197_2023 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 197–2024

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_197_2024

29.69 kB
2,450 rows
5 columns

CREATE TABLE ecocity_hourly_197_2024 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 337–2023

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_337_2023

1.23 MB
109,170 rows
5 columns

CREATE TABLE ecocity_hourly_337_2023 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 337–2024

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_337_2024

1.23 MB
109,170 rows
5 columns

CREATE TABLE ecocity_hourly_337_2024 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 400–2023

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_400_2023

169.63 kB
15,843 rows
5 columns

CREATE TABLE ecocity_hourly_400_2023 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 400–2024

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_400_2024

169.63 kB
15,843 rows
5 columns

CREATE TABLE ecocity_hourly_400_2024 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 564–2023

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_564_2023

402.8 kB
35,393 rows
5 columns

CREATE TABLE ecocity_hourly_564_2023 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);