Collect  your data on digital marketing campaigns from reddit Ads using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.

A collection of tools for extracting structured data from <https://www.reddit.com/>.

Applies quality control to daily precipitation observations; 
    reconstructs the original series by estimating precipitation in missing values; and 
    creates gridded datasets of daily precipitation.

Standard and extensible Eddy-Covariance data post-processing 
  (Wutzler et al. (2018) <doi:10.5194/bg-15-5015-2018>)
  includes  
  uStar-filtering, gap-filling, and flux-partitioning.
  The Eddy-Covariance (EC)  micrometeorological technique quantifies continuous 
  exchange fluxes of gases, energy, and momentum between an ecosystem and the atmosphere.
  It is important for understanding ecosystem dynamics and upscaling exchange fluxes.
  (Aubinet et al. (2012) <doi:10.1007/978-94-007-2351-1>).
  This package inputs pre-processed (half-)hourly data and supports further processing. 
  First, a quality-check and filtering is performed based on the relationship between 
  measured flux and friction
  velocity (uStar) to discard biased data 
  (Papale et al. (2006) <doi:10.5194/bg-3-571-2006>).
  Second, gaps in the data are filled based on information from environmental conditions
  (Reichstein et al. (2005) <doi:10.1111/j.1365-2486.2005.001002.x>).
  Third, the net flux of carbon dioxide is partitioned
  into its gross fluxes in and out of the ecosystem by night-time 
  based and day-time based approaches
  (Lasslop et al. (2010) <doi:10.1111/j.1365-2486.2009.02041.x>).

Extension to 'REddyProc' that allows reading data from netCDF files.

Provides tools to download, process, and analyze real-time 
    meteorological radar images from Simepar (Paraná, Brazil)
    <https://www.simepar.br/simepar/radar_msc>. Designed to support the
    'Rede Agropesquisa' hydrological monitoring, it includes functions to
    detect rainfall intensity based on Red, Green, and Blue (RGB) color
    values within predefined circular study areas. Features automated
    integration with the 'Telegram Bot API' 
    <https://core.telegram.org/bots/api> to send spatialized image alerts and 
    an interactive 'shiny' dashboard for easy configuration and continuous 
    weather tracking.