An interface to the Apache OpenNLP tools (version 1.5.3).
  The Apache OpenNLP library is a machine learning based toolkit for the
  processing of natural language text written in Java.
  It supports the most common NLP tasks, such as tokenization, sentence
  segmentation, part-of-speech tagging, named entity extraction, chunking,
  parsing, and coreference resolution.
  See <https://opennlp.apache.org/> for more information.

Apache OpenNLP jars and basic English language models.

Provides analyse, interpret and understand noise pollution data. Data are typically regular time series measured with sound meter. The package is partially described in Fogola, Grasso, Masera and Scordino (2023, <DOI:10.61782/fa.2023.0063>).

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.