Allows access to a proof-of-concept database containing Open Access species range models and relevant metadata. Access to the database is via both 'PostgreSQL' connection and API <https://github.com/EnquistLab/Biendata-Frontend>, allowing diverse use-cases.

Analyze repertory grids, a qualitative-quantitative 
    data collection technique devised by George A. Kelly in the 1950s. Today, grids are used across 
    various domains ranging from clinical psychology to marketing. The package contains functions 
    to quantitatively analyze and visualize repertory grid data (e.g. 'Fransella', 'Bell', & 'Bannister', 
    2004, ISBN: 978-0-470-09080-0). The package is part of the The package is part of the 
    <https://openrepgrid.org/> project.

Shiny UI to identify cliques of related constructs in repertory grid data. 
    See Burr, King, & Heckmann (2020) <doi:10.1080/14780887.2020.1794088> for a description 
    of the interpretive clustering (IC) method.

The client streamlines access to the services provided by <https://api.openrouteservice.org>.
  It allows you to painlessly query for directions, isochrones, time-distance matrices, geocoding, elevation, points of interest, and more.

Creativity research involves the need to score open-ended problems.
  Usually done by humans, automatic scoring using AI becomes more
  and more accurate. This package provides a simple interface to
  the 'Open Scoring' API <https://openscoring.du.edu/docs>, leading creativity scoring technology by
  Organiscak et al. (2023) <doi:10.1016/j.tsc.2023.101356>. With it,
  you can score your own data directly from an R script.

Provides functionalities and data structures to retrieve, analyze and visualize aviation 
    data. It includes a client interface to the 'OpenSky' API <https://opensky-network.org>. It allows 
    retrieval of flight information, as well as aircraft state vectors.

Convenient download functions enabling access Open Source Asset Pricing (OpenAP) data. This package enables users to download predictor portfolio returns (over 200 cross-sectional predictors with multiple portfolio construction methods) and firm characteristics (over 200 characteristics replicated from the academic asset pricing literature). Center for Research in Security Prices (CRSP)-based variables such as Price, Size, and Short-term Reversal can be downloaded with a Wharton Research Data Services (WRDS, <https://wrds-www.wharton.upenn.edu/>) subscription. For a full list of what is available, see <https://www.openassetpricing.com/>.