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.

Raman and (FT)IR spectral analysis tool for plastic particles and
    other environmental samples (Cowger et al. 2021,
    <doi:10.1021/acs.analchem.1c00123>). With read_any(), Open Specy provides a
    single function for reading individual, batch, or map spectral data files
    like .asp, .csv, .jdx, .spc, .spa, .0, and .zip. process_spec() simplifies
    processing spectra, including smoothing, baseline correction,
    range restriction and flattening, intensity conversions, wavenumber
    alignment, and min-max normalization. Spectra can be identified in batch
    using an onboard reference library (Cowger et al. 2020,
    <doi:10.1177/0003702820929064>) using match_spec(). A Shiny app is available
    via run_app() or online at <https://www.openanalysis.org/openspecy/>.