Get information about air quality using 'Airly' <https://airly.eu/> API through R.

Utilities for working with hourly air quality monitoring data
    with a focus on small particulates (PM2.5). A compact data model is 
    structured as a list with two dataframes. A 'meta' dataframe contains 
    spatial and measuring device metadata associated with deployments at known 
    locations. A 'data' dataframe contains a 'datetime' column followed by 
    columns of measurements associated with each "device-deployment".
    Algorithms to calculate NowCast and the associated Air Quality Index (AQI)
    are defined at the US Environmental Projection Agency AirNow program:
    <https://www.airnow.gov/sites/default/files/2020-05/aqi-technical-assistance-document-sept2018.pdf>.

Retrieve air quality data via the 'AirNow'
    <https://www.airnow.gov/> API.

Retrieves open source airport data and provides tools to look up information, translate names into codes and vice-verse, as well as some basic calculation functions for measuring distances. Data is licensed under the Open Database License.

Geographic, use, and property related data on airports.

These dataset contains daily quality air measurements in 
  Spain over a period of 18 years (from 2001 to 2018). The measurements refer to 
  several pollutants. These data are openly published by the Government of Spain.  
  The datasets were originally spread over a number of files and formats. Here, 
  the same information is contained in simple dataframe for convenience of 
  researches, journalists or general public. See the Spanish Government website 
  <http://www.miteco.gob.es/> for more information.

Schema definitions and read, write and validation tools for data 
    formatted in accordance with the AIRR Data Representation schemas defined 
    by the AIRR Community <http://docs.airr-community.org>.

An evaluation framework for algorithm portfolios using Item Response
    Theory (IRT). We use continuous and polytomous IRT models to evaluate algorithms and introduce
    algorithm characteristics such as stability, effectiveness and anomalousness 
    (Kandanaarachchi, Smith-Miles 2020) <doi:10.13140/RG.2.2.11363.09760>.