Opens complete record(s) with .gb extension from the NCBI/GenBank Nucleotide database and returns a list containing shaped record(s). These kind of files contains detailed records of DNA samples (locus, organism, type of sequence, source of the sequence...). An example of record can be found at <https://www.ncbi.nlm.nih.gov/nuccore/HE799070>.

Implements a high performance C++ parser 
    for 'ActiGraph' 'GT3X'/'GT3X+' data format (with extension '.gt3x') 
    for 'accelerometer' samples. Activity samples can be easily read into a
    matrix or data.frame.  This allows for storing the raw 'accelerometer' 
    samples in the original binary format to reserve space.

Loads Axon Binary Files (both 'ABF' and 'ABF2') created by Axon Instruments/Molecular Devices software such as 'pClamp'.

Downloads, imports, and tidies time series data from the 
    Australian Bureau of Statistics <https://www.abs.gov.au/>.

Provides clean, tidy access to Australian Electoral Commission
    (AEC) federal election data. Includes results for the House of
    Representatives and Senate from 2007 onwards, at both division and polling
    place level, plus by-elections from 2008 onwards, the 2023 referendum,
    and the full distribution of preferences. Data is downloaded directly from the AEC
    <https://results.aec.gov.au> on first use and cached locally for
    subsequent calls.

Download the latest data from the Australian Prudential Regulation
    Authority <https://www.apra.gov.au/> and import it into R as a tidy data 
    frame.

Identifies and reads Windows BMP, JPEG, PNG, and TIFF format bitmap
    images. Identification defaults to the use of the magic number embedded in
    the file rather than the file extension. Reading of JPEG and PNG image
    depends on libjpg and libpng libraries. See file INSTALL for details if
    necessary.

Reads data files acquired by Bruker Daltonics' matrix-assisted
    laser desorption/ionization-time-of-flight mass spectrometer of the *flex
    series.

Combine multiple data files from a common directory.
    The data files will be read into R and bound together, creating a
    single large data.frame. A general function is provided along with
    a specific function for data that was collected using the open-source
    experiment builder 'OpenSesame' <https://osdoc.cogsci.nl/>.