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 564–2024

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_564_2024

402.8 kB
35,393 rows
5 columns

CREATE TABLE ecocity_hourly_564_2024 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 566–2023

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_566_2023

200.22 kB
17,765 rows
5 columns

CREATE TABLE ecocity_hourly_566_2023 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 566–2024

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_566_2024

200.22 kB
17,765 rows
5 columns

CREATE TABLE ecocity_hourly_566_2024 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 611–2023

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_611_2023

322.43 kB
29,440 rows
5 columns

CREATE TABLE ecocity_hourly_611_2023 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 611–2024

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_611_2024

322.43 kB
29,440 rows
5 columns

CREATE TABLE ecocity_hourly_611_2024 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 650–2023

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_650_2023

1.27 MB
126,615 rows
5 columns

CREATE TABLE ecocity_hourly_650_2023 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 650–2024

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_650_2024

1.58 MB
160,625 rows
5 columns

CREATE TABLE ecocity_hourly_650_2024 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 767–2023

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_767_2023

797.57 kB
84,409 rows
5 columns

CREATE TABLE ecocity_hourly_767_2023 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 767–2024

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_767_2024

1 MB
100,818 rows
5 columns

CREATE TABLE ecocity_hourly_767_2024 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 774–2023

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_774_2023

823.09 kB
82,251 rows
5 columns

CREATE TABLE ecocity_hourly_774_2023 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 774–2024

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_774_2024

1.13 MB
109,675 rows
5 columns

CREATE TABLE ecocity_hourly_774_2024 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 790–2023

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_790_2023

725.55 kB
75,335 rows
5 columns

CREATE TABLE ecocity_hourly_790_2023 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 790–2024

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_790_2024

1.05 MB
100,778 rows
5 columns

CREATE TABLE ecocity_hourly_790_2024 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 848–2023

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_848_2023

571.65 kB
56,481 rows
5 columns

CREATE TABLE ecocity_hourly_848_2023 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Hourly 848–2024

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_hourly_848_2024

571.65 kB
56,481 rows
5 columns

CREATE TABLE ecocity_hourly_848_2024 (
  "id_station" BIGINT,
  "datetime" TIMESTAMP,
  "indicator_name" VARCHAR,
  "indicator_dimension" VARCHAR,
  "value" DOUBLE
);

Ecocity Stations 2023

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_stations_2023

7.15 kB
29 rows
7 columns

CREATE TABLE ecocity_stations_2023 (
  "id" BIGINT,
  "location" VARCHAR,
  "address" VARCHAR,
  "lat" DOUBLE,
  "lng" DOUBLE,
  "notes" VARCHAR,
  "source" VARCHAR
);

Ecocity Stations 2024

@kaggle.vbmokin_air_quality_monitoring_from_ecocity.ecocity_stations_2024

7.91 kB
31 rows
7 columns

CREATE TABLE ecocity_stations_2024 (
  "id" BIGINT,
  "location" VARCHAR,
  "address" VARCHAR,
  "lat" DOUBLE,
  "lng" DOUBLE,
  "notes" VARCHAR,
  "source" VARCHAR
);