Loads 'Blackrock' <https://blackrockneurotech.com> neural signal 
    data files into the memory, provides utility tools to extract the data into 
    common formats such as plain-text 'tsv' and 'HDF5'.

Wraps 'tiny_obj_loader' C++ library for reading the 'Wavefront' OBJ
    3D file format including both mesh objects and materials files. The
    resultant R objects are either structured to match the 'tiny_obj_loader'
    internal data representation or in a form directly compatible with the 'rgl'
    package.

Read ODS (OpenDocument Spreadsheet) into R as data frame. Also support writing data frame into ODS file.

Provides clean, tidy access to key economic indicators published
    by the 'Organisation for Economic Co-operation and Development' ('OECD'),
    covering GDP, CPI inflation, unemployment, tax revenue, government deficit,
    health expenditure, education expenditure, income inequality, labour
    productivity, and current account balance across all
    38 'OECD' member countries. Data is downloaded from the 'OECD Data Explorer'
    API <https://data-explorer.oecd.org> on first use and cached locally for
    subsequent calls. Returns tidy long-format data frames ready for analysis
    and visualisation.

Imports log and data files from "Eosense" ecosystem gas flux chambers into dataframes that can directly be used with "fluxible" by Gaudard et al (2025) <doi:10.1111/2041-210X.70161>.

The goal of 'readr' is to provide a fast and friendly way to
    read rectangular data (like 'csv', 'tsv', and 'fwf').  It is designed
    to flexibly parse many types of data found in the wild, while still
    cleanly failing when data unexpectedly changes.

Download up-to-date data from the Reserve Bank of Australia 
    in a tidy data frame. Package includes functions to download current and 
    historical statistical tables 
    (<https://www.rba.gov.au/statistics/tables/>) and forecasts 
    (<https://www.rba.gov.au/publications/smp/forecasts-archive.html>). Data
    includes a broad range of Australian macroeconomic and financial time
    series.