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High-Value dataset category from a European vocabulary. A High Value Dataset is public sector information whose re-use has significant benefits for society, the environment and the economy, in particular because of its suitability for services, job creation and other value-added applications.

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4 datasets found

INSPIRE – Air quality model areas

Concentrations of air pollutants in the 1x1 km grid, year 2022. Limit values for the protection of human health SO2 - 4th highest 24-hour SO2 concentration [µg.m-3], PM10 - annual average concentration [µg.m-3], PM10 - 36th highest 24-hour average concentration [µg.m-3], PM2.5 - annual average concentration [µg. m-3], NO2 - annual average concentration [µg.m-3], O3 - 26th highest maximum daily 8-hour moving average concentration averaged over 3 years, 2019-2021 [µg.m-3], As - annual average concentration [ng.m-3], Cd - annual average concentration [ng.m-3], benzo[a]pyrene - annual average concentration [ng.m-3], benzene - annual average concentration [µg.m-3]. Areas with exceedances of limit values without O3. Areas with exceedances of the limit values with the inclusion of O3. Limit values for the protection of ecosystems and vegetation O3 - AOT40 exposure index values, 5-year average, 2018-2022 [µg.m-3], NOx - annual average concentration [µg.m-3], SO2 - annual (annual average) and winter period (winter average) [µg.m-3].

Legislation (Act 201/2012 Coll., as amended) requires that the primary source of assessment be the results of stationary measurements. Measured concentrations may be supplemented by modelling and indicative measurements in the production of pollutant maps to ensure that the resulting estimate provides sufficient information on the spatial distribution of air pollutant concentrations. In the Czech Republic, the Eulerian chemical dispersion model CAMx is mainly used, additionally also the Gaussian model SYMOS and the European Eulerian model EMEP. In addition, in the case of individual pollutants, e.g. altitude or population density.

http://publications.europa.eu/resource/authority/file-type/ Dataset is distributed using http://publications.europa.eu/resource/authority/file-type/.

INSPIRE – All AQ data associated with AQ monitoring stations

Concentrations measured by all monitoring networks are stored in the AQIS air pollution database. The database contains data from the beginning of measurements, and sulphur dioxide and suspended particulate matter concentrations from the station networks of the CHMI in North Bohemia and Prague from 1971. Accompanying meteorological data, which are measured at a large part of the automated monitoring stations of the CHMI are used for the evaluation of air quality-meteorological relationships, are also stored in the ISKO database. In addition, the ISKO emission database also includes data provided by cooperating institutions. These include the Public Health Institute in Ostrava, the Public Health Institute in Ústí nad Labem, the National Institute of Health, ČEZ, a. s., the Forestry and Game Management Research Institute, v. v. i., the Czech Geological Survey, the Institute of Hydrobiology, municipal authorities and other contributors. The database also includes information from the border areas of Slovakia, Germany, Poland and Austria.

Overview of concentrations of air pollutants for which limit values for the protection of human health have been set, measured at station networks of ambient air quality monitoring in the Czech Republic: r22As - List of stations with annual average concentrations of As, 2022; r22BaP - List of stations with annual average concentrations of benzo[a]pyrene, 2022; r22BZN - List of stations with annual average concentrations of benzene, 2022; r22Cd - List of stations with annual average concentrations of cadmium, 2022; r22NO2 - List of stations with concentrations of NO2 (annual average and 19. highest hourly concentrations), 2022; r22O3 - List of stations with ground-level ozone concentrations (max. daily 8-hour moving average, averaged over 3 years), 2022; r22PM10 - List of stations with PM10 concentrations (annual mean and 36. highest 24-hour concentrations), 2022; r22PM25 - List of stations with PM2.5 annual average concentrations, 2022; r22SO2zdr - List of stations with SO2 concentrations (25th highest hourly concentrations and 4th highest 24-hour concentrations), 2022. Summary of concentrations of air pollutants for which immission limits are set to protect ecosystems and vegetation, measured at station networks of ambient air quality monitoring in the Czech Republic: r22AOT40 - AOT40 exposure index values, 5-year average, 2019-2023 [µg. m-3.h]; r22NOx - List of stations with annual average NOx concentrations, 2022; r22SO2zp - List of stations with SO2 concentrations (winter average), 2022; r22SO2rp - List of stations with annual average SO2 concentrations, 2022.

http://publications.europa.eu/resource/authority/file-type/ Dataset is distributed using http://publications.europa.eu/resource/authority/file-type/.

Primary and aggregated data of air pollutants for which limit values are set

In accordance with Act 123/1998 Coll. on free access to environmental information, as amended, the CHMI has provided verified primary and aggregated data on outdoor air pollutants. These are the main pollutants with limit values according to current legislation: arsenic (As), benzene, benzo[a]pyrene, cadmium (Cd), carbon monoxide (CO), nickel (Ni), nitrogen dioxide (NO2), nitrogen oxides (NOX), ground-level ozone (O3), lead (Pb), particulate matter (PM10), particulate matter (PM2.5), sulphur dioxide (SO2). The data are based on measurements at stations owned by the CHMI for the period 1969-2022. The primary data are presented in measurement intervals of 30 min, 1 h or 24 h, depending on the type of measurement. Aggregated data are calculated from the above primary data. These data are: daily mean values, monthly mean values, annual mean values and the number of exceedances of the limit values for the protection of human health. Verified data for subsequent calendar years from 2020 will always be available by 1 July of the following year.

CSV Dataset is distributed using CSV.

Radon index map of the Czech Republic 1 : 50,000 – INSPIRE harmonized (theme Natural risk zones)

Radon index map of the Czech Republic 1 : 50,000 has been compiled using statistical procedures to process the measurements so that the areas defined by the vectorized boundaries of the geological units can be classified to indicate the prevailing radon index for bedrock and quaternary sediments (low, medium, high index). The source data has been adjusted to meet the INSPIRE requirements for download service.

fullfillment of requirements of the INSPIRE directive

HVD High value dataset. KML Dataset is distributed using KML. GML Dataset is distributed using GML. Atom Feed Dataset is distributed using Atom Feed.