The 'dataset' package extends tidy data frames with
    machine-readable metadata, semantic definitions, and provenance
    information. It supports incremental semantic stabilization,
    interoperable dataset exchange, and FAIR-oriented publication
    workflows by preserving contextual metadata directly within R
    objects. The package facilitates the creation, exchange, reuse,
    and RDF serialization of datasets in line with ISO and W3C
    standards.

Read, construct and write CDISC (Clinical Data Interchange Standards Consortium) Dataset JSON (JavaScript Object Notation) files, while validating per the Dataset JSON schema file, as described in CDISC (2023) <https://www.cdisc.org/standards/data-exchange/dataset-json>.

Graphical interface for loading datasets in RStudio from all installed (including unloaded) packages, also includes command line interfaces.

Companion to the book "An Introduction to Clustering with R" by P. Giordani, M.B. Ferraro and F. Martella (Springer, Singapore, 2020). The datasets are used in some case studies throughout the text.

A collection of widely used univariate data sets of various applied domains on applications of distribution theory. The functions allow researchers and practitioners to quickly, easily, and efficiently access and use these data sets. The data are related to different applied domains and as follows: Bio-medical, survival analysis, medicine, reliability analysis, hydrology, actuarial science, operational research, meteorology, extreme values, quality control, engineering, finance, sports and economics. The total 100 data sets are documented along with associated references for further details and uses.

A metapackage that brings together a curated collection 
    of R packages containing domain-specific datasets. It includes time series data, 
    educational metrics, crime records, medical datasets, and oncology research data. 
    Designed to provide researchers, analysts, educators, and data scientists with 
    centralized access to structured and well-documented datasets, this metapackage 
    facilitates reproducible research, data exploration, and teaching applications across 
    a wide range of domains.
    Included packages:
    - 'timeSeriesDataSets': Time series data from economics, finance, energy, and healthcare.
    - 'educationR': Datasets related to education, learning outcomes, and school metrics.
    - 'crimedatasets': Datasets on global and local crime and criminal behavior.
    - 'MedDataSets': Datasets related to medicine, public health, treatments, and clinical trials.
    - 'OncoDataSets': Datasets focused on cancer research, survival, genetics, and biomarkers.